Anant Adya & Saju Sankarankutty, Infosys | HPE Discover 2022
>>the Cube presents H p E discover 2022. Brought to you by H P E. >>Okay, we're back at HPD. Discovered 2022 This is Day Three. We're kind of in the mid point of day three. John Furry and Dave Volonte Wall to wall coverage. I think there are 14th hp slash hp Discover we've sort of documented the history of the company over the last decade. Plus, I'm not a is here is executive vice president at Infosys and Cejudo. Sankaran Kutty is the CEO and vice president of Infosys. Infosys doing some amazing work in the field with clients. Guys, Thanks for coming on the Cube. Thank >>you for the opportunity. >>Yeah, absolutely so. Digital transformation. It's all the buzz word kind of pre pandemic. It was sort of Yeah, you know, we'll get there a lot of lip service to it. Some Some started the journey and then, of course, pandemic. If you weren't digital business, you are out of business. What are the trends that you're seeing now that we're exiting the isolation economy? >>Yeah, um, again, as you rightly called out pre pandemic, it was all about using sort of you know innovation at scale as one of the levers for digital transformation. But if you look at now, post Pandemic, one of the things that we see it's a big trend is at a broad level, right? Digital transformation is not about cost. Take out. Uh, it's all about growth, right? So essentially, uh, like, uh, what we hear from most of the CEO s and most of the customers and most of the executives in the tech company, Digital transformation should be used for business growth. And essentially, it means three things that we see three trends in that space. One is how can you build better products and solutions as part of your transformation strategy? How can you basically use digital transformation to expand into new markets and new new territories and new regions? And the third is, how can you better the experience for your customers? Right. So I think that is broadly what we see as, uh, some other things. And essentially, if you have better customer experience, they will buy more. If you expand into new markets, your revenue will increase. If you actually build better products and solutions, consumers will buy it right, so It's basically like a sort of an economy that goes hand in hand. So I would say the trend is clearly going towards business growth than anything else when it comes to the, >>you know, follow up on that. We had I d. C on yesterday and they were sharing with some of their high level numbers. We've looked at this and and and it seems like I t spending is pretty consistent despite the fact that, for example, you know, the to see the consumer businesses sort of tanking right now. Are you seeing any pullback or any evidence that people are pulling the reins back on the digital transformation Or they just going because if they don't keep keep moving fast, they're gonna fall behind. What are you seeing there? Absolutely. >>In fact, you know what? What we call them as the secular headwinds, right? I mean, if you look at the headwinds here, we see digital transformation is in the minds of everybody, every customer, right. So while there are budget constraints, where are all these macro tailwinds as we call with respect to inflation, with respect to what's happening with Russia and Ukraine with respect to everything that's happening with respect to supply chain right. I think we see some of those tail headwinds. But essentially, digital transformation is not stopping. Everybody is going after that because essentially they want to be relevant in the market. And if they want to be relevant in the market, they have to transform. And if they have to transform, they have to adopt digital transformation. >>Basically, there's no hiding anymore. You know, hiding and you can't hide the projects and give lip service because there's evidence of what the consequences are. And it can be quantified. Yes, you go out of business, you lose money. You mentioned some of the the cost takeouts growth is yes. So I got given the trends and the headwinds and the tail winds. What are you guys seeing as the pattern of companies that came out of the pandemic with growth? And what's going on with that growth driver? What are the elements that are powering companies to grow? Is that machine learning? Is that cloud scales and integration? What are some of the key areas that's given that extra up into the right? >>Yes, I I would say there are six technologies that are defining how growth is being enabled, right? So I think we call it as cloud ai edge five g, Iot and of course, everything to do with a And so these are six technologies that are powering digital transformation. And, uh, one of the things that we are saying is more and more customers are now coming and saying that we want to use these six technologies to drive business outcomes. Uh, for example, uh, we have a very large oil and gas customer of ours who says that, you know, we want to basically use cloud as a lever to Dr Decarbonization. E S G is such a big initiative for everybody in the SGS in the minds of everybody. So their outcome of using technology is to drive decarbonization. And they don't make sure that, you know, they achieve the goals of E. S G. Right There is another customer of ours in the retail space. They are saying we want to use cloud to drive experience for our employees. So I would say that you know, there is pretty much, you know, all these drivers which are helping not just growing their business, but also bettering the experience and meeting some of the organisation goals that they have set up with respect to cloud. So I would say Cloud is playing a big role in every digital transformation initiative of the company. >>How do you spend your time? What's the role of the CEO inside of a large organisation like Infosys? >>So, um, one is in terms of bringing in an outside in view of how technology is making an impact to our customers. And I'm looking at How do we actually start liberating some of these technologies in building solutions, you know, which can actually drive value for our customers? That's one of the focus areas. You know what I do? Um, And if you look at some of the trends, you know what we have seen in the past years as well as what we're seeing now? Uh, there's been a huge spend around cloud which is happening with our customers and predominantly around the cloud Native application development, leveraging some of the services. What's available from the cloud providers like eh? I am l in Hyoty. Um, and and there's also a new trend. You know what we are seeing off late now, which is, um, in terms of improving the experience overall experience liberating some of the technologies, like technologies like block, block, chain as well as we are, we are right, and and this is actually creating new set of solutions. Um, new demands, you know, for our customers in terms of leveraging technologies like matadors leveraging technologies like factory photo. Um, and these are all opportunities for us to build solutions, you know, which can, you know, improve the time to market for our customers in terms of adopting some of these things. Because there has been a huge focus on the improved end user experience or improve experience improved, uh, productivity of, uh, employees, you know, which is which has been a focus. Uh, post pandemic. Right? You know, it has been something which is happening pre pandemic, but it's been accelerated Post pandemic. So this is giving an opportunity for for my role right now in terms of liberating these technologies, building solutions, building value propositions, taking it to our customers, working with partners and then trying to see how we can have this tightly integrated with partners like HP E in this case, and then take it jointly to the market and and find out you know, what's what's the best we can actually give back to our customers? >>You know, you guys have been we've been following you guys for for a long, long time. You've seen many cycles, uh, in the industry. Um, and what's interesting to get your reaction to what we're seeing? A lot of acceleration points, whether it's cloud needed applications. But one is the software business is no longer there. It's open source now, but cloud scale integrations, new hybrid environment kind of brings and changes the game, so there's definitely software plentiful. You guys are doing a lot of stuff with the software. How are customers integrated? Because seeing more and more customers participating in the open source community uh, so what? Red hat's done. They're transforming the open shift. So as cloud native applications come in and get scale and open source software, cloud scale performance and integrations are big. You guys agree with that? >>Absolutely. Absolutely. So if you if you look at it, um, right from the way we can't socialise those solutions, um, open source is something What we have embedded big way right into the solution. Footprint. What we have one is, uh, the ability for us to scale the second is the ability for us to bring in a level of portability, right? And the third is, uh, ensuring that there is absolutely no locking into something. What we're building. We're seeing this this being resonated by our customers to because one is they want to build a child and scalable applications. Uh, it's something where the whole, I would say, the whole dependency on the large software stacks. Uh, you know, the large software providers is likely diminishing now, right? Uh, it's all about how can I simplify my application portfolio Liberating some of the open source technologies. Um, how can I deploy them on a multi cloud world liberating open standards so that I'm not locked into any of these providers? Um, how can I build cloud native applications, which can actually enable portability? And how can I work with providers who doesn't have a lock in, you know, into their solutions, >>And security is gonna be embedded in everything. Absolutely. >>So security is, uh, emperor, right from, uh, design phase. Right? You know, we call it a secure by design And that's something What? We drive for our customers right from our solutions as well as for developing their own solutions >>as opposed to secure by bolt on after the fact. What is the cobalt go to market strategy? How does that affect or how you do business within the HP ecosystem? Absolutely. >>I think you know what we did in, uh, in 2000 and 20. We were the first ones, uh, to come out with an integrated cloud brand called Cobalt. So essentially, our thought process was to make sure that, you know, we talk one consistent language with the customer. There is a consistent narrative. There is a consistent value proposition that we take right. So, essentially, if you look at the Cobalt gold market, it is based on three pillars. The first pillar is all about technology solutions. Getting out of data centres migrating were close to cloud E r. P on Cloud Cloud, Native Development, legacy modernisation. So we'll continue to do that because that's the most important pillar. And that's where our bread and butter businesses right. The second pillar is, uh, more and more customers are asking industry cloud. So what are you specifically doing for my industry. So, for example, if you look at banking, uh, they would say we are focused on Modernising our payment systems. We want to reduce the financial risk that we have because of anti money laundering and those kind of solutions that they're expecting. They want to better the security portion. And of course, they want to improve the experience, right? So they are asking for each of these imperatives that we have in banking. What are some of those specific industry solutions that you are bringing to the table? Right. So that's the second pillar of our global go to market. And the third pillar of our go to market as soon as I was saying is looking at what we call us Horizon three offerings, whether it is metal wars, whether it is 13.0, whether it is looking at something else that will come in the future. And how do we build those solutions which can become mainstream the next 18 to 24 months? So that's essentially the global >>market. That's interesting. Okay, so take the banking example where you've got a core app, it's probably on Prem, and it's not gonna have somebody shoved into the cloud necessarily. But they have to do things like anti money, money laundering and know your ky. See? How are they handling that? Are they building micro services? Are you building for them microservices layers around that that actually might be in the cloud or cloud Native on Prem and Greenway. How is that? How are customers Modernising? >>Absolutely brilliant question. In fact, what we have done is, uh, as part of cobalt, we have something called a reference. Architecture are basically a blueprint. So if you go to a bank and you're engaging a banking executive, uh, the language that we speak with them is not about, uh, private cloud or public cloud or AWS or HP or zero, right? I mean, we talk the language that they understand, which is the banking language. So we take this reference architecture, and we say here is what your core architecture should look like. And, as you rightly called out, there is K. I see there is retail banking. There is anti money laundering. There is security experience. Uh, there are some kpi s and those kind of things banking a PSR open banking as we call, How do we actually bring our solutions, which we have built on open source and something that are specific to cloud and something that our cloud neutral and that's what we take them. So we built this array of solutions around each of those reference architectures that we take to our customers. >>Final question for you guys. How are you guys leveraging the H, P E and new Green Lake and all the new stuff they got here to accelerate the customers journey to edge the cloud? >>So I would say it on three areas right now. This is one is Obviously we are working very closely with HP in terms of taking out solutions jointly to the market and, um, leveraging the whole green late model and providing what I call it as a hyper scale of like experience for our customers in a hybrid, multi cloud world. That's the first thing. The second thing is Onion talked about the cobalt, right? It's an important, I would say, an offering from, uh, you know and offering around cloud from our side. So what we've done is we've closely integrated the assets. You know what I was referring to what we have in our cobalt, uh, under other Kobold umbrella very closely with the HP ecosystem, right? You know, it can be tools like the Emphasis Polly Cloud Platform or the Emphasis pollinate platform very tightly integrated with the HP stack, so that we could actually offer the value proposition right across the value chain. The thought of you know we have actually taken the industry period, like what again mentioned right in terms of rather than talking about a public cloud or a private cloud solution or an edge computing solution. We actually talk about what exactly are the problem statements? What is there in manufacturing today? Or it's there in financial industries today? Or or it's in a bank today or whatever it's relevant to the industry. That's an industry people. So we talk right from an industry problem and and and and and and build that industry, industry people solutions, leveraging the assets, what we have in the and the framework that we have within the couple, plus the integrated solutions. What we bring along with HB. That's that's Those are the three things, what we do along with >>it and that that industry pieces do. There's a whole data layer emerging those industries learning cos they're building their own clouds. Look, working with companies like you because they want to monetise. That's a big part of their digital strategy, guys. Thanks so much for coming on the cue. Thank you. Appreciate your time. Thank >>you. Thank you very much. Really appreciate. >>Thank you. Thank you for watching John and I will be back. John Ferrier, Development at HPD Discovered 2022. You're watching the queue? >>Yeah. >>Mm.
SUMMARY :
Brought to you by H P E. Sankaran Kutty is the CEO and vice president of What are the trends that you're seeing now that we're And the third is, how can you better the experience for your customers? the fact that, for example, you know, the to see the consumer businesses sort of tanking right now. I mean, if you look at the headwinds here, What are you guys seeing as the pattern of companies that came out of the pandemic with growth? So I would say that you know, there is pretty much, the market and and find out you know, what's what's the best we can actually give back to our customers? You know, you guys have been we've been following you guys for for a long, long time. So if you if you look at it, um, right from the way we can't socialise And security is gonna be embedded in everything. You know, we call it a secure by design And that's something What? What is the cobalt go to So that's the second pillar of our global go to market. around that that actually might be in the cloud or cloud Native on Prem and Greenway. So if you go to a bank How are you guys leveraging the H, P E and new Green Lake and all the new stuff they That's that's Those are the three things, what we do along with Look, working with companies like you because Thank you very much. Thank you for watching John and I will be back.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Sankaran Kutty | PERSON | 0.99+ |
Infosys | ORGANIZATION | 0.99+ |
John Ferrier | PERSON | 0.99+ |
Saju Sankarankutty | PERSON | 0.99+ |
John Furry | PERSON | 0.99+ |
six technologies | QUANTITY | 0.99+ |
HP | ORGANIZATION | 0.99+ |
Anant Adya | PERSON | 0.99+ |
third pillar | QUANTITY | 0.99+ |
2000 | DATE | 0.99+ |
second pillar | QUANTITY | 0.99+ |
yesterday | DATE | 0.99+ |
third | QUANTITY | 0.99+ |
each | QUANTITY | 0.99+ |
three pillars | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
HPD | ORGANIZATION | 0.99+ |
first pillar | QUANTITY | 0.99+ |
2022 | DATE | 0.99+ |
Cobalt | ORGANIZATION | 0.99+ |
One | QUANTITY | 0.99+ |
Pandemic | EVENT | 0.99+ |
today | DATE | 0.98+ |
HP E | ORGANIZATION | 0.98+ |
20 | DATE | 0.98+ |
second | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
first thing | QUANTITY | 0.98+ |
three things | QUANTITY | 0.98+ |
cobalt | ORGANIZATION | 0.96+ |
Day Three | QUANTITY | 0.95+ |
three areas | QUANTITY | 0.95+ |
Dave Volonte Wall | PERSON | 0.95+ |
pandemic | EVENT | 0.94+ |
day three | QUANTITY | 0.94+ |
14th hp | QUANTITY | 0.93+ |
John | PERSON | 0.93+ |
second thing | QUANTITY | 0.93+ |
couple | QUANTITY | 0.92+ |
last decade | DATE | 0.92+ |
Prem | ORGANIZATION | 0.89+ |
SGS | ORGANIZATION | 0.89+ |
H P E. | ORGANIZATION | 0.89+ |
Cejudo | ORGANIZATION | 0.88+ |
Greenway | ORGANIZATION | 0.87+ |
three trends | QUANTITY | 0.86+ |
H | ORGANIZATION | 0.85+ |
Ukraine | LOCATION | 0.85+ |
Post pandemic | EVENT | 0.84+ |
13.0 | QUANTITY | 0.83+ |
P E | ORGANIZATION | 0.82+ |
Green Lake | ORGANIZATION | 0.78+ |
24 months | QUANTITY | 0.77+ |
post | EVENT | 0.77+ |
HPE | ORGANIZATION | 0.76+ |
first ones | QUANTITY | 0.76+ |
pre | EVENT | 0.75+ |
HB | ORGANIZATION | 0.75+ |
pre pandemic | EVENT | 0.73+ |
E S G | ORGANIZATION | 0.72+ |
Iot | ORGANIZATION | 0.68+ |
Red | ORGANIZATION | 0.68+ |
g | ORGANIZATION | 0.66+ |
Kobold | ORGANIZATION | 0.66+ |
Emphasis | ORGANIZATION | 0.65+ |
Cube | COMMERCIAL_ITEM | 0.62+ |
Russia | LOCATION | 0.61+ |
executive | PERSON | 0.58+ |
Polly Cloud Platform | TITLE | 0.58+ |
Ajay Mungara, Intel | Red Hat Summit 2022
>>mhm. Welcome back to Boston. This is the cubes coverage of the Red Hat Summit 2022. The first Red Hat Summit we've done face to face in at least two years. 2019 was our last one. We're kind of rounding the far turn, you know, coming up for the home stretch. My name is Dave Valentin here with Paul Gillon. A J monger is here is a senior director of Iot. The Iot group for developer solutions and engineering at Intel. AJ, thanks for coming on the Cube. Thank you so much. We heard your colleague this morning and the keynote talking about the Dev Cloud. I feel like I need a Dev Cloud. What's it all about? >>So, um, we've been, uh, working with developers and the ecosystem for a long time, trying to build edge solutions. A lot of time people think about it. Solutions as, like, just computer the edge. But what really it is is you've got to have some component of the cloud. There is a network, and there is edge and edge is complicated because of the variety of devices that you need. And when you're building a solution, you got to figure out, like, where am I going to push the computer? How much of the computer I'm going to run in the cloud? How much of the computer? I'm gonna push it at the network and how much I need to run it at the edge. A lot of times what happens for developers is they don't have one environment where all of the three come together. And so what we said is, um, today the way it works is you have all these edge devices that customers by the instal, they set it up and they try to do all of that. And then they have a cloud environment they do to their development. And then they figure out how all of this comes together. And all of these things are only when they are integrating it at the customer at the solution space is when they try to do it. So what we did is we took all of these edge devices, put it in the cloud and gave one environment for cloud to the edge. Very good to your complete solution. >>Essentially simulates. >>No, it's not >>simulating span. So the cloud spans the cloud, the centralised cloud out to the edge. You >>know, what we did is we took all of these edge devices that will theoretically get deployed at the edge like we took all these variety of devices and putting it put it in a cloud environment. So these are non rack mountable devices that you can buy in the market today that you just have, like, we have about 500 devices in the cloud that you have from atom to call allusions to F. P. G s to head studio cards to graphics. All of these devices are available to you. So in one environment you have, like, you can connect to any of the cloud the hyper scholars, you could connect to any of these network devices. You can define your network topology. You could bring in any of your sources that is sitting in the gate repository or docker containers that may be sitting somewhere in a cloud environment, or it could be sitting on a docker hub. You can pull all of these things together, and we give you one place where you can build it where you can test it. You can performance benchmark it so you can know when you're actually going to the field to deploy it. What type of sizing you need. So >>let me show you, understand? If I want to test, uh, an actual edge device using 100 gig Ethernet versus an Mpls versus the five G, you can do all that without virtualizing. >>So all the H devices are there today, and the network part of it, we are building with red hat together where we are putting everything on this environment. So the network part of it is not quite yet solved, but that's what we want to solve. But the goal is here is you can let's say you have five cameras or you have 50 cameras with different type of resolutions. You want to do some ai inference type of workloads at the edge. What type of compute you need, what type of memory you need, How many devices do you need and where do you want to push the data? Because security is very important at the edge. So you gotta really figure out like I've got to secure the data on flight. I want to secure the data at Brest, and how do you do the governance of it. How do you kind of do service governance? So that all the services different containers that are running on the edge device, They're behaving well. You don't have one container hogging up all the memory or hogging up all the compute, or you don't have, like, certain points in the day. You might have priority for certain containers. So all of these mortals, where do you run it? So we have an environment that you could run all of that. >>Okay, so take that example of AI influencing at the edge. So I've got an edge device and I've developed an application, and I'm going to say Okay, I want you to do the AI influencing in real time. You got something? They become some kind of streaming data coming in, and I want you to persist, uh, every hour on the hour. I want to save that time stamp. Or if the if some event, if a deer runs across the headlights, I want you to persist that day to send that back to the cloud and you can develop that tested, benchmark >>it right, and then you can say that. Okay, look in this environment I have, like, five cameras, like at different angles, and you want to kind of try it out. And what we have is a product which is into, um, open vino, which is like an open source product, which does all of the optimizations you need for age in France. So you develop the like to recognise the deer in your example. I developed the training model somewhere in the cloud. Okay, so I have, like, I developed with all of the things have annotated the different video streams. And I know that I'm recognising a deer now. Okay, so now you need to figure out Like when the deer is coming and you want to immediately take an action. You don't want to send all of your video streams to the cloud. It's too expensive. Bandwidth costs a lot. So you want to compute that inference at the edge? Okay. In order to do that inference at the edge, you need some environment. You should be able to do it. And to build that solution What type of age device do you really need? What type of compute you need? How many cameras are you computing it? What different things you're not only recognising a deer, probably recognising some other objects could do all of that. In fact, one of the things happened was I took my nephew to San Diego Zoo and he was very disappointed that he couldn't see the chimpanzees. Uh, that was there, right, the gorillas and other things. So he was very sad. So I said, All right, there should be a better way. I saw, like there was a stream of the camera feed that was there. So what we did is we did an edge in friends and we did some logic to say, At this time of the day, the gorillas get fed, so there's likelihood of you actually seeing the gorilla is very high. So you just go at that point and so that you see >>it, you >>capture, That's what you do, and you want to develop that entire solution. It's based on whether, based on other factors, you need to bring all of these services together and build a solution, and we offer an environment that allows you to do it. Will >>you customise the the edge configuration for the for the developer If if they want 50 cameras. That's not You don't have 50 cameras available, right? >>It's all cameras. What we do is we have a streaming capability that we support so you can upload all your videos. And you can say I want to now simulate 50 streams. Want to simulate 30 streams? Or I want to do this right? Or just like two or three videos that you want to just pull in. And you want to be able to do the infant simultaneously, running different algorithms at the edge. All of that is supported, and the bigger challenge at the edge is developing. Solution is fine. And now when you go to actual deployment and post deployment monitoring, maintenance, make sure that you're like managing it. It's very complicated. What we have seen is over 50% 51% to be precise of developers are developed some kind of a cloud native applications recently, right? So that we believe that if you bring that type of a cloud native development model to the edge, then you're scaling problem. Your maintenance problem, you're like, how do you actually deploy it? All of these challenges can be better managed, Um, and if you run all of that is an orchestration later on kubernetes and we run everything on top of open shift, so you have a deployment ready solution already there it's everything is containerised everything. You have it as health charged Dr Composed. You have all their you have tested and in this environment, and now you go take that to the deployment. And if it is there on any standard kubernetes environment or in an open ship, you can just straight away deploy your application. >>What's that edge architecture looked like? What's Intel's and red hats philosophy around? You know what's programmable and it's different. I know you can run a S, a p a data centre. You guys got that covered? What's the edge look like? What's that architecture of silicon middleware? Describe that for us. >>So at the edge, you think about it, right? It can run traditional, Uh, in an industrial PC. You have a lot of Windows environment. You have a lot of the next. They're now in a in an edge environment. Quite a few of these devices. I'm not talking about Farage where there are tiny micro controllers and these devices I'm talking about those devices that connect to these forage devices. Collect the data. Do some analytics do some compute that type of thing. You have foraged devices. Could be a camera. Could be a temperature sensor. Could be like a weighing scale. Could be anything. It could be that forage and then all of that data instead of pushing all the data to the cloud. In order for you to do the analysis, you're going to have some type of an edge set of devices where it is collecting all this data, doing some decisions that's close to the data. You're making some analysis there, all of that stuff, right? So you need some analysis tools, you need certain other things. And let's say that you want to run like, UH, average costs or rail or any of these operating systems at the edge. Then you have an ability for you to manage all of that. Using a control note, the control node can also sit at the edge. In some cases, like in a smart factory, you have a little data centre in a smart factory or even in a retail >>store >>behind a closet. You have, like a bunch of devices that are sitting there, correct. And those devices all can be managed and clustered in an environment. So now the question is, how do you deploy applications to that edge? How do you collect all the data that is sitting through the camera? Other sensors and you're processing it close to where the data is being generated make immediate decisions. So the architecture would look like you have some club which does some management of this age devices management of this application, some type of control. You have some network because you need to connect to that. Then you have the whole plethora of edge, starting from an hybrid environment where you have an entire, like a mini data centre sitting at the edge. Or it could be one or two of these devices that are just collecting data from these sensors and processing it that is the heart of the other challenge. The architecture varies from different verticals, like from smart cities to retail to healthcare to industrial. They have all these different variations. They need to worry about these, uh, different environments they are going to operate under, uh, they have different regulations that they have to look into different security protocols that they need to follow. So your solution? Maybe it is just recognising people and identifying if they are wearing a helmet or a coal mine, right, whether they are wearing a safety gear equipment or not, that solution versus you are like driving in a traffic in a bike, and you, for safety reasons. We want to identify the person is wearing a helmet or not. Very different use cases, very different environments, different ways in which you are operating. But that is where the developer needs to have. Similar algorithms are used, by the way, but how you deploy it very, quite a bit. >>But the Dev Cloud make sure I understand it. You talked about like a retail store, a great example. But that's a general purpose infrastructure that's now customised through software for that retail environment. Same thing with Telco. Same thing with the smart factory, you said, not the far edge, right, but that's coming in the future. Or is that well, that >>extends far edge, putting everything in one cloud environment. We did it right. In fact, I put some cameras on some like ipads and laptops, and we could stream different videos did all of that in a data centre is a boring environment, right? What are you going to see? A bunch of racks and service, So putting far edge devices there didn't make sense. So what we did is you could just have an easy ability for you to stream or connect or a Plourde This far edge data that gets generated at the far edge. Like, say, time series data like you can take some of the time series data. Some of the sensor data are mostly camera data videos. So you upload those videos and that is as good as your streaming those videos. Right? And that means you are generating that data. And then you're developing your solution with the assumption that the camera is observing whatever is going on. And then you do your age inference and you optimise it. You make sure that you size it, and then you have a complete solution. >>Are you supporting all manner of microprocessors at the edge, including non intel? >>Um, today it is all intel, but the plan, because we are really promoting the whole open ecosystem and things like that in the future. Yes, that is really talking about it, so we want to be able to do that in the future. But today it's been like a lot of the we were trying to address the customers that we are serving today. We needed an environment where they could do all of this, for example, and what circumstances would use I five versus i nine versus putting an algorithm on using a graphics integrated graphics versus running it on a CPU or running it on a neural computer stick. It's hard, right? You need to buy all those devices you need to experiment your solutions on all of that. It's hard. So having everything available in one environment, you could compare and contrast to see what type of a vocal or makes best sense. But it's not >>just x 86 x 86 your portfolio >>portfolio of F. P. G s of graphics of like we have all what intel supports today and in future, we would want to open it up. So how >>do developers get access to this cloud? >>It is all free. You just have to go sign up and register and, uh, you get access to it. It is difficult dot intel dot com You go there, and the container playground is all available for free for developers to get access to it. And you can bring in container workloads there, or even bare metal workloads. Um, and, uh, yes, all of it is available for you >>need to reserve the endpoint devices. >>Comment. That is where it is. An interesting technology. >>Govern this. Correct. >>So what we did was we built a kind of a queuing system. Okay, So, schedule, er so you develop your application in a controlled north, and only you need the edge device when you're scheduling that workload. Okay, so we have this scheduling systems, like we use Kafka and other technologies to do the scheduling in the container workload environment, which are all the optimised operators that are available in an open shift, um, environment. So we regard those operators. Were we installed it. So what happens is you take your work, lord, and you run it. Let's say on an I seven device, when you're running that workload and I summon device, that device is dedicated to you. Okay, So and we've instrumented each of these devices with telemetry so we could see at the point your workload is running on that particular device. What is the memory looking like power looking like How hard is the device running? What is a compute looking like? So we capture all that metrics. Then what you do is you take it and run it on a 99 or run it on a graphic, so can't run it on an F p g a. Then you compare and contrast. And you say Huh? Okay for this particular work, Lord, this device makes best sense. In some cases, I'll tell you. Right, Uh, developers have come back and told me I don't need a bigger process that I need bigger memory. >>Yeah, sure, >>right. And some cases they've said, Look, I have I want to prioritise accuracy over performance because if you're in a healthcare setting, accuracy is more important. In some cases, they have optimised it for the size of the device because it needs to fit in the right environment in the right place. So every use case where you optimise is up to the solution up to the developer, and we give you an ability for you to do that kind >>of folks are you seeing? You got hardware developers, you get software developers are right, people coming in. And >>we have a lot of system integrators. We have enterprises that are coming in. We are seeing a lot of, uh, software solution developers, independent software developers. We also have a lot of students are coming in free environment for them to kind of play with in sort of them having to buy all of these devices. We're seeing those people. Um I mean, we are pulling through a lot of developers in this environment currently, and, uh, we're getting, of course, feedback from the developers. We are just getting started here. We are continuing to improve our capabilities. We are adding, like, virtualisation capabilities. We are working very closely with red hat to kind of showcase all the goodness that's coming out of red hat, open shift and other innovations. Right? We heard, uh, like, you know, in one of the open shift sessions, they're talking about micro shifts. They're talking about hyper shift, the talking about a lot of these innovations, operators, everything that is coming together. But where do developers play with all of this? If you spend half your time trying to configure it, instal it and buy the hardware, Trying to figure it out. You lose patience. What we have time, you lose time. What is time and it's complicated, right? How do you set up? Especially when you involve cloud. It has network. It has got the edge. You need all of that right? Set up. So what we have done is we've set up everything for you. You just come in. And by the way, not only just that what we realised is when you go talk to customers, they don't want to listen to all our optimizations processors and all that. They want to say that I am here to solve my retail problem. I want to count the people coming into my store, right. I want to see that if there is any spills that I recognise and I want to go clean it up before a customer complaints about it or I have a brain tumour segmentation where I want to identify if the tumour is malignant or not, right and I want to telehealth solutions. So they're really talking about these use cases that are talking about all these things. So What we did is we build many of these use cases by talking to customers. We open sourced it and made it available on Death Cloud for developers to use as a starting point so that they have this retail starting point or they have this healthcare starting point. All these use cases so that they have all the court we have showed them how to contain arise it. The biggest problem is developers still don't know at the edge how to bring a legacy application and make it cloud native. So they just wrap it all into one doctor and they say, OK, now I'm containerised got a lot more to do. So we tell them how to do it, right? So we train these developers, we give them an opportunity to experiment with all these use cases so that they get closer and closer to what the customer solutions need to be. >>Yeah, we saw that a lot with the early cloud where they wrapped their legacy apps in a container, shove it into the cloud. Say it's really hosting a legacy. Apps is all it was. It wasn't It didn't take advantage of the cloud. Never Now people come around. It sounds like a great developer. Free resource. Take advantage of that. Where do they go? They go. >>So it's def cloud dot intel dot com >>death cloud dot intel dot com. Check it out. It's a great freebie, AJ. Thanks very much. >>Thank you very much. I really appreciate your time. All right, >>keep it right there. This is Dave Volonte for Paul Dillon. We're right back. Covering the cube at Red Hat Summit 2022. >>Mhm. Yeah. Mhm. Mm.
SUMMARY :
We're kind of rounding the far turn, you know, coming up for the home stretch. devices that you need. So the cloud spans the cloud, the centralised You can pull all of these things together, and we give you one place where you can build it where gig Ethernet versus an Mpls versus the five G, you can do all that So all of these mortals, where do you run it? and I've developed an application, and I'm going to say Okay, I want you to do the AI influencing So you develop the like to recognise the deer in your example. and we offer an environment that allows you to do it. you customise the the edge configuration for the for the developer So that we believe that if you bring that type of a cloud native I know you can run a S, a p a data So at the edge, you think about it, right? So now the question is, how do you deploy applications to that edge? Same thing with the smart factory, you said, So what we did is you could just have an easy ability for you to stream or connect You need to buy all those devices you need to experiment your solutions on all of that. portfolio of F. P. G s of graphics of like we have all what intel And you can bring in container workloads there, or even bare metal workloads. That is where it is. So what happens is you take your work, So every use case where you optimise is up to the You got hardware developers, you get software developers are What we have time, you lose time. container, shove it into the cloud. Check it out. Thank you very much. Covering the cube at Red Hat Summit 2022.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dave Valentin | PERSON | 0.99+ |
Ajay Mungara | PERSON | 0.99+ |
Paul Gillon | PERSON | 0.99+ |
Telco | ORGANIZATION | 0.99+ |
two | QUANTITY | 0.99+ |
France | LOCATION | 0.99+ |
one | QUANTITY | 0.99+ |
50 cameras | QUANTITY | 0.99+ |
five cameras | QUANTITY | 0.99+ |
50 streams | QUANTITY | 0.99+ |
30 streams | QUANTITY | 0.99+ |
Dave Volonte | PERSON | 0.99+ |
100 gig | QUANTITY | 0.99+ |
Boston | LOCATION | 0.99+ |
Paul Dillon | PERSON | 0.99+ |
Intel | ORGANIZATION | 0.99+ |
today | DATE | 0.99+ |
three videos | QUANTITY | 0.99+ |
Red Hat Summit 2022 | EVENT | 0.99+ |
about 500 devices | QUANTITY | 0.98+ |
Red Hat Summit | EVENT | 0.98+ |
ipads | COMMERCIAL_ITEM | 0.98+ |
Iot | ORGANIZATION | 0.98+ |
Kafka | TITLE | 0.98+ |
each | QUANTITY | 0.97+ |
Windows | TITLE | 0.97+ |
three | QUANTITY | 0.97+ |
AJ | PERSON | 0.97+ |
first | QUANTITY | 0.96+ |
red hat | TITLE | 0.96+ |
Death Cloud | TITLE | 0.95+ |
one doctor | QUANTITY | 0.94+ |
over 50% 51% | QUANTITY | 0.93+ |
Farage | ORGANIZATION | 0.92+ |
intel dot com | ORGANIZATION | 0.9+ |
intel | ORGANIZATION | 0.9+ |
this morning | DATE | 0.89+ |
one cloud | QUANTITY | 0.88+ |
San Diego Zoo | LOCATION | 0.87+ |
99 | QUANTITY | 0.86+ |
one container | QUANTITY | 0.86+ |
one environment | QUANTITY | 0.86+ |
2019 | DATE | 0.85+ |
half | QUANTITY | 0.85+ |
one place | QUANTITY | 0.84+ |
least two years | QUANTITY | 0.83+ |
Dev Cloud | TITLE | 0.81+ |
monger | PERSON | 0.77+ |
time | QUANTITY | 0.76+ |
I five | OTHER | 0.76+ |
P. G | PERSON | 0.75+ |
red hat | TITLE | 0.74+ |
two of | QUANTITY | 0.73+ |
Brest | ORGANIZATION | 0.63+ |
nine | TITLE | 0.61+ |
86 | OTHER | 0.58+ |
devices | QUANTITY | 0.56+ |
things | QUANTITY | 0.51+ |
five G | OTHER | 0.49+ |
86 | QUANTITY | 0.48+ |
Cloud | TITLE | 0.46+ |
seven | COMMERCIAL_ITEM | 0.4+ |
dot | ORGANIZATION | 0.34+ |
cloud | TITLE | 0.32+ |
Masum Mir and Greg Dorai, Cisco
>>Mm. Okay, we're back. Digging into the infrastructure to make hybrid work possible. High performance, cost effective, scalable and secure. That's what it's all about. So far, we've covered the rapid migration to WiFi 60 technology and the role that switching is going to play. And now we're gonna get into private five g to do that. Let's welcome Masumi here. Who is vice president and general manager of mobile cable and the Iot business at Cisco and Greg Dorey, who is the vice president of product management for the networking experiences group of Cisco. He's responsible for Catalyst access that whole portfolio enterprise five G Cisco DNA spaces, Cisco, Iasi A lot of stuff there. Uh, Greg gentlemen, welcome, >>Dave. Thank you for having us. >>Yeah, our pleasure. So let's start with you on the topic of private five g five g. What do we need to know about that? And more specifically, you know what's unique about Cisco's private five G? >>So, most importantly, delivering private five G in enterprise terms that's super important to look at five p. Many of our peer groups might have got it wrong. We're looking at private five g with the lens of enterprise. What enterprise really needs is five g going to come and displace a lot of existing technology? Or is it going to help augment the technology that enterprise has an excellent Their digitisation is you need. I wanted to start Dave with the basic premise of hybrid work, and what hybrid work really means. Is it only for knowledge worker or is it for all workers? So we strongly believe hybrid work needs to empower all workers. It's not only connecting remote workers but also bringing people things and space together. And I strongly believe the combination of WiFi six n five g for private network is going to accelerate that journey, bringing people things and space together in a very, very cohesive way. Why are our offer is so unique? We are going to create a continent. Enterprises don't have to make a hard choice. They will be using WiFi technology and five G technology hand in hand without creating a disruption on their policy and identity systems. They don't have to rethink. Do I have to go and build a new background is a common background that will support both WiFi as well as five t Most importantly, delivering this enter offer as a service with the ease of consumption is of operation and trusted environment that they can put their mission critical workloads on. >>I like it. So couple takeaways there are inclusive of all workers, not just knowledge workers non disruptive. Everybody loves to hear that. And of course, the as a service model is key. So let me stay with you. I mean, we can't wait for five g, right? It's lightning fast. They've got super low latency, very high bandwidth. So that's what everybody is excited about. The question, though, is is five g gets introduced. You know it's going to power things like Coyote Networks. Is that going to replace WiFi and legacy Wired broadband? >>Absolutely not. So we see private five years, an augmentation to the enterprise on top of WiFi WiFi. As you heard in the previous conversation, WiFi is bringing more capability with WiFi six and WiFi 16 and five G is going to be yet another augmentation. WiFi and fight. The will coexist within enterprise for many years to come. I would like my friend Greg to talk a little bit about this continuum. Greg. >>Yeah, I think it's sort of like I like to say it's an and not an AR because there's enough use cases out there. Richard Pryor Spectrum And you know, spectrum >>is a constraint, so >>you have private five G, your WiFi six and both offer opportunities. So, for example, in an indoor carpet setting where you're basically connecting your phone for basic browsing or connecting your laptop, WiFi is sufficient. But if it's a process automation, uh, factory where you need seven nines of reliability, private five g is a better technology. Similarly outdoor large areas. It's probably private. Five g right like this, you can have easy handoff between public and private, so it's use case driven, and once it's used case driven, it's going to be an are because there's so many next time use cases, whether it's a are we are drones, self driving cars, you name it right, like And so I think these two technologies five g and Y 5 60 is gonna work hand in hand to deliver awesome outcomes for our customers. >>Yeah, and just the data volumes are gonna be incredible. We always talk about the data volumes. You ain't seen nothing yet is what I always say. But the thing is, every new tech that's introduced into the enterprise, you can almost be certain that is going to bring adoption challenges. And not only that also is going to bring changes in the way you do things. And that brings new complexities from an operational standpoint. So my question is, how are you addressing this with the introduction of five g. >>Dave, this is a fantastic question, and this is why we have spent me and Greg have spent tremendous amount of time to create continual. I'll start with the foundation first, back down. So we have been building this enterprise backbone, supporting what Wild Connexion as well as WiFi Connexion. We wanted to make sure that as private five G camps within enterprise, you don't have to rethink and reimagine your background is the common backbone that will support both WiFi WiFi six WiFi 60 as well as private five g. You rest assured that it is the same backbone that we have heard in the previous section on the Cap 90 that will also support a private key access. The second aspect of private five G is as you build any new technology into enterprise. Oftentimes we get into this trap to get to an outcome. We move fast and we create asylum. And then that silo operation creates a barriers to mainstream it. So upfront we have to think about not creating another silent and how we're doing it. Number one is a device that can connecting to WiFi network or a private five G network. You don't have to reimagine or rethink how I'm going to manage. The identity will create continue of the common identity across the WiFi access or five t access in the same environment. The second aspect of that is, how are we going to reach in all our staff are enterprise staff is well trained with WiFi technology and white technology. Now five G comes with tremendous amount of value and benefit, but it also comes with inherent technology complexity, learning problems. This is where our simple to consume simple to operate model of sass comes to play. That we're going to take all those complexity away. It is a cloud deliberate service enterprise don't have to go through this massive learning car. Adopting this technology last but not list on how you're going to manage your capital. Any new technology and enterprise, Oftentimes you need a huge amount of upfront investment to adopt the technology to get to the other side of getting the outcome. So again, our business model of SARS will allow Enterprise to adopt this new technology and pay as you go model to meet with enterprise needs. Finally, I also wanted to pass to break to touch a little bit more on how we are thinking about this common identity across any access in the enterprise. Greg to your >>So we we talk about it in two different ways. One is a lot of enterprises today use our identity and secure management platform. We call it Isis Co ice platform. And so years and years of policy and identities Excess service, radio service they use, uh, etcetera are plugged in already into our eyes. Right. So if you can share that with this private five years as a service, uh, infrastructure that Muslims been building, we think we'll be able to create that bridge because we're not forcing enterprises to create new identities, a new policy. So thats sort of step one to make it easier. Uh, you also talk through something where, in the case of a public five g network, for example, the It's very convenient because you take your phone out of your pocket and it's connected to the network, right? Was this for WiFi? You have to log into an S I D in your hotel or in your home and home. It's automatic, but that's that logging process that creates friction. And that's a problem, because then you can't be seamless. So we initiated what we call us open roaming, right? Like that's, uh, identity federation that we first created between identity owners. Could be carriers could be, um, anything that anyone who owns an identity and they will share with venues. And so if the sharing happens, then that Onboarding can be automatic and once on boarding is automatic, then it's easy to pass off between five and five G. And so that's again another way in which you can lower the adoption barriers because you share across public private G and WiFi networks. So these are two concrete examples of how we thought about lowering the barriers of adoption. As we enter into this heterogeneous >>world, >>I can't wait. Let's let's talk about how this thing scales in the go to market, what are the most likely or maybe preferred or obvious routes to market for private five g Francisco >>so they stay tuned when when they announce more about it. But I can also assure you that exposed to the spectrum is a challenge for many enterprises when it comes to cellular technology. In some countries, there are more spectrum accessible by enterprise. In many countries, that's not the case. So we have talked to very carefully that how do we bring this offer to the market? Partnering with many service providers and mobile operators, where in countries where we don't have direct access to the spectrum, our partnership with mobile operators that you will hear more about as we come to mobile world Congress is going to allow our enterprise to consume this technology even if they don't have the spectrum in places where the enterprise might have direct spectrum access. We'll also bring in our relativist providers to hide the complexity of the new technology on top of our cell services or a cloud deliberate services. This is the augmentation with the partnership with menaces providers and mobile operators that will ease this journey for enterprises are most important. Primitive in this journey is to keep it simple for enterprise. Make it intuitive and trust it from day one. >>Outstanding. Okay. Assume, Greg, Thanks so much. It's great to have you guys. I really appreciate your time. >>Thank you. Thank you. Mm mm.
SUMMARY :
and the role that switching is going to play. So let's start with you on the topic of private five g five g. Or is it going to help augment the technology that enterprise has an excellent Their digitisation Is that going to replace WiFi and WiFi 16 and five G is going to be yet another augmentation. Yeah, I think it's sort of like I like to say it's an and not an AR because it's going to be an are because there's so many next time use cases, whether it's a are we are drones, And not only that also is going to bring changes in the way you do things. It is a cloud deliberate service enterprise don't have to for example, the It's very convenient because you take your phone out of your pocket and it's connected to the network, Let's let's talk about how this thing scales in the go to market, We'll also bring in our relativist providers to hide the It's great to have you guys. Thank you.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Greg | PERSON | 0.99+ |
Greg Dorey | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Greg Dorai | PERSON | 0.99+ |
Coyote Networks | ORGANIZATION | 0.99+ |
SARS | ORGANIZATION | 0.99+ |
Masumi | PERSON | 0.99+ |
second aspect | QUANTITY | 0.99+ |
five years | QUANTITY | 0.99+ |
One | QUANTITY | 0.99+ |
both | QUANTITY | 0.99+ |
Masum Mir | PERSON | 0.99+ |
Wild Connexion | ORGANIZATION | 0.97+ |
two concrete examples | QUANTITY | 0.96+ |
five | QUANTITY | 0.95+ |
two different ways | QUANTITY | 0.95+ |
Y 5 60 | COMMERCIAL_ITEM | 0.94+ |
WiFi 60 | OTHER | 0.94+ |
first | QUANTITY | 0.94+ |
Iasi | ORGANIZATION | 0.94+ |
Isis | ORGANIZATION | 0.93+ |
day one | QUANTITY | 0.93+ |
seven | QUANTITY | 0.92+ |
five g | ORGANIZATION | 0.91+ |
Catalyst | ORGANIZATION | 0.9+ |
couple takeaways | QUANTITY | 0.87+ |
Iot | ORGANIZATION | 0.86+ |
two technologies | QUANTITY | 0.85+ |
today | DATE | 0.85+ |
private | COMMERCIAL_ITEM | 0.84+ |
WiFi 16 | OTHER | 0.83+ |
five G | OTHER | 0.82+ |
g | OTHER | 0.78+ |
private five g | COMMERCIAL_ITEM | 0.77+ |
WiFi six | OTHER | 0.75+ |
g Francisco | ORGANIZATION | 0.75+ |
five G | COMMERCIAL_ITEM | 0.72+ |
Richard Pryor | PERSON | 0.71+ |
step one | QUANTITY | 0.71+ |
Number one | QUANTITY | 0.7+ |
five | OTHER | 0.7+ |
Muslims | ORGANIZATION | 0.7+ |
mm. | PERSON | 0.69+ |
Congress | ORGANIZATION | 0.69+ |
Five g | COMMERCIAL_ITEM | 0.69+ |
five G. | QUANTITY | 0.68+ |
five G | ORGANIZATION | 0.66+ |
G | ORGANIZATION | 0.66+ |
nines | QUANTITY | 0.65+ |
private five g | ORGANIZATION | 0.64+ |
g | ORGANIZATION | 0.63+ |
five t | OTHER | 0.63+ |
six | OTHER | 0.62+ |
WiFi Connexion | ORGANIZATION | 0.58+ |
five | TITLE | 0.56+ |
five g. | OTHER | 0.55+ |
private five G | ORGANIZATION | 0.55+ |
Cap 90 | OTHER | 0.49+ |
t | ORGANIZATION | 0.49+ |
six | COMMERCIAL_ITEM | 0.44+ |
g. | ORGANIZATION | 0.44+ |
five G | TITLE | 0.41+ |
G | OTHER | 0.34+ |
five | ORGANIZATION | 0.29+ |
Mark Francis, Electronic Caregiver | AWS Summit DC 2021
>>Hello and welcome back to the cubes live coverage of A W. S. Public sector summit. I'm john Kerry hosting CUBA. We're live in Washington D. C. For two days, an actual event with an expo floor with real people face to face and of course we're streaming it digitally on the cube and cube channels. And so our next guest, Mark Francis chief digital health integration officer Electronic caregiver, Mark great to see you tech veteran and former intel back in the day. You've seen your ways of innovation. Welcome to the cube. >>Thanks so much. It's a pleasure to be here. >>So we were talking before we came on camera about all the innovation going back in the computer industry but now with health care and delivery of care telemedicine and how the structural systems are changing and how cloud is impacting that. You guys have an interesting solution on AWS that kind of, to me connect the dots for many tell us what you guys do and take us through the product. >>Sure. Happy to do so uh our company is electronic caregiver were actually founded back in 2009. We're based in Los cruces new Mexico so off the grid. Um but since that time we have been spending a lot of time and money doing foundational R and D pilots and product development work. Really say how do you bridge that chasm between the doctor's office and the patient home in a way that you can put a patient facing device and equipment in a patient's home that's going to drive high level of engagement, obtain actionable curated data that's presented out to caregivers and the caregivers can then act upon that to help direct and deliver high quality care. >>So basically is the future of medicine, >>the future of medicine. Right. Right. We look at medicine, we look at the future of medicine as being a hybrid model of in person care plus remote care. And we really see ourselves at the epicenter of providing a platform to help enable that. >>You know the big story here at the public sector. Some and we've been reporting on a digitally for the previous year is the impact the pandemic has had on the industry and and not just normal disruption, you know technology and start ups, disruption happens, structural changes being forced upon industries by the force majeure. That is the pandemic education, health care and so video and data and connected oriented systems are now the thing structurally that's changing it. That's causing all kinds of business model, innovations and challenges. Yeah. What's your take on that? Because this is real. >>Yeah. It is real. It it's funny that this is actually my third digital health company. Um First one was in in uh Silicon Valley early remote patient monitoring company. We end up selling it to bosh uh when I joined intel to be part of our digital health group, we did that for five years and ended a joint venture with G. E. So people have been playing around in remote patient monitoring telehealth for some time until the pandemic though there wasn't really a strong business model to justify scaling of these businesses. Um uh the pandemic change that it forced adoption and force the government to allow reimbursement coach as well. And as a result of that we've seen this pure if aeration of different product offering service offerings and then payment models around telehealth broadly speaking >>well since you started talking the music started cranking because this is the new music of the industry, we're here on the expo floor, we have face to face conversations going on and uh turn the music down. Hey thanks guys, this is a huge thing and I want to uh highlight even further what is the driver for this? Because is it, I mean actually clouds got some benefits but as you guys do the R. And D. What's going on with what's the key drivers for medicine? >>Yeah, I would take two things from a from a technology perspective, the infrastructure is finally in place to enable this type of charity distance before that it really wasn't there now that's there and the products that folks are used are much more affordable about the provider's side and the patient side. The main driver is um uh there's a lot of underlying trends that were happening that we're just being ignored Whether it was 50% non adherence to treatment plans, massive medication mismanagement um lack of professional and informal caregivers, all those things were kind of happening underneath the surface and then with Kobe, it all hit everybody in the phase. People started using telehealth and then realize, hey, we can deliver high quality care, we can deliver value based care mixed with a hybrid model of tele care plus patient care. And it turned out that, that, that works out well. So I think it's now a realization that tell care not only connects patients but solve some of these other issues around adherents, compliance, staffing and a number of other >>things and that this is a structural change we were talking about. Exactly. All right, So talk about amazon, what do you guys are doing on AWS? How's that all work? >>That's working out great. So as we, as we launch at a 2.0, we built it on 24 foundational aws and Amazon services. It's a serverless architecture, um, uh, which is delivered. What enables us to do is we have a whole bunch of different patients facing devices which we now integrate all into one back end through which we can run our data analytics are machine learning and then present curated actual data to the providers on top of that. We've also been developing a virtual caregiver that's really, really innovative. So we're using the unity engine to develop a very, very realistic virtual caregiver that is with the patient 24 hours a day in their home, they develop a relationship with that individual and then through that they can really drive greater you know more intimate care plan and a more intimate relationship with their human caregivers that's built using basic technology behind Alexa pauline lacks as well as IOT core and a lot of other ai ml services from from amazon as well. >>Not to get all nerdy and kind of seeking out here because under the hood it's all the goodness of amazon. We've got a server list, you got tennis is probably in there doing something who knows what's going on there, You've got polly let's do this and that but it also highlights the edge the ultimate network edges the human and if you've got to care for the patient at home or wherever on the run whatever. Yeah you got to get the access to the data so yeah I can imagine a lot of monitoring involved too. Yeah can you take us through how that works? >>Yeah and for us we like to talk about intelligence as opposed to data because data for data sakes isn't actionable. So really what can we do through machine learning and artificial intelligence to be able to make that data more actionable before the human caregiver because you're never going to take a human out of the equation. Uh But uh we had a lot of data inputs, they're both direct data inputs such as vital signs, we also get subtle data input. So with our with our uh with Addison or virtual caregiver uh the product actually come to the camera away from intel called the real sense cameras. And with that we get to see several signs of changes in terms of gate which might be in the indicative of falls risk of falls. We can see body temperature, pulse, heart rate, signs of stress, lack of sleep. Maybe that's a sign of uh adverse reaction to a new medication. There's a bunch of different direct and indirect inputs. We can take run some analysis against and then say hey there's something here you might want to look at because it might be indicating a change in health. >>So this is where the innovation around these bots and ai come in because you're essentially getting pattern matching on other signals you already know. So using the cameras and or sensors in to understand and get the patients some signaling where they can maybe take action call >>fun or Yeah, that's exactly. And the other thing we get, we get to integrate information related to what are called social determinants of health. So there's a whole body of research now showing that 65% of someone's health is actually driven by non clinical issues. So again issues of food security, transportation, access to care, mental health type issues in terms of stress and stuff like we can start gathering some of that information to based upon people's behaviors or for you to assessments which can also provide insights to help direct care. >>So maybe when I'm doing the Cuban reviews, you guys can go to work and look at me. I'm stressed out right now, having a great time here public sector, this is really cool. So take a minute to explain the vision. What does this go from here? I'll see low hanging fruit, telemedicine, check data, observe ability for patient for optimizing care, check what happens next industry disruption, what how these dominoes have been kind of fall? >>Yeah, for us uh we really are seeing more providers and more payers system. Integrators looking now to say how do I put together a comprehensive solution from the doctor's office to inpatient hospital to home that can remove it. A lot of barriers to care addi which is our platform is designed to be interoperable to plug into electronic health care systems, whether it's Cerner, Epic or Athenahealth, whatever it might be to be able to create that you pick us seamless platform for provider to use. We can push all of the data to their platform if they want to use that or they could use our platform and dashboard as well. We make it available to healthcare providers but also a lot of people are trying to age in place and they're getting treated by private duty providers, senior housing providers and other maybe less clinical caregivers. But if you're there every day with somebody you can pick up signs which might prevent a major health episode down the road. So we want to close that circle our our vision is how do we close the circle of care so that people get the right information at the right time to deliver the right >>care. So it's kind of a health care stack of a new kind of stack. So I have to ask you if there was an eye as pass and sass category um infrastructure as a service platform as a service. And then says it sounds like you guys are kind of combine the lower parts of the stack and enable your partners to develop on top of. Is that how it >>works? Yes it does. Yeah. Yeah. So with addie, the interesting thing that we've done it's designed to have open a P. I. For a lot of modules as well. So if we're working with the american Heart Association and we want to do a uh cardiac care module from using their I. P. We could do that if we want to integrate with Uber health or lift we could do that as well if we want to do something in the amazon and pill pack, it's a plug in that we could do that. So if I'm a patient or or a loved one at home instead of going to 10 different places or use our platform and then pull up four different apps. Everything can be right there at their fingertips. You can either do it by touch or you can use this voice because it's all a voice or a touch of interaction. >>So just because I'm curious and and and for clarification, the idea of going past versus SAS platform versus software as a service is why flexibility or customization? Why not go SAS and be a SAS application? >>Uh we've talked mostly about, we've we've gone back and forth platform as a service or infrastructure as a service. So that's more the debate that we've had. It's more about the scalability that we can offer. Um uh not just in the United States, but globally as well. Um and really that's really the thing that we've been looking at, especially because there's so many different sources of data, if you want to provide high quality care that needs to be integrated. We want to make sure that we created a platform, not just for what we provide but for what others in the environment can provide. >>So you really want to enable other people to create that very much layer on top of you guys, do you have out of the box SAS to get people going or is that just >>With the release of adding 2.0, now we do. So now folks go to our website and they contact our development those tools and and those libraries are available. >>Now, this is an awesome opportunity. So for people out there who are wanting to innovate on you, they can just say, okay, I'll leverage your the amazon web services of healthcare essentially. >>That's a nice bold ambitious statement. Yeah, but I mean kind of but if we if we can achieve that, then we'd be quite happy and we think the industry, you're gonna partner >>benefit of that. It's an ecosystem play. Exactly, yeah. It's kind of like. >>Yeah, yeah, yeah, yeah. And for us, what we do covert is a perfect example going back to that. So when Covid hit um were based in las cruces, new Mexico last winter lost crew system to el paso and overwhelmed. They're at capacity. Different health care systems came to us, they asked if we partner with them to deliver a basically a triage program for folks that were coming into the er with Covid. So we designed a Kobe at home programs. So you get diagnosed, get a kit, go home and using telehealth virtual visits, remote monitoring. Be able to stay healthy at home without doing community spread. And by making sure that you were being watched over by a care professionals 24 hours a day. We did that um worked with 300 people Malcolm would all of them said healthy. We were able to expand uh inpatient capacity by 77%. We saved the system over $6 million in in three months. We've now been asked and we're actually replicating that in Memphis now and then also we've been asked to do so down in Mississippi >>mark, great conversation. Uh real quick. I only I don't have much time left but I want to ask you, does this mean that we're gonna see a clip of proliferation of in home kind of devices to assist? >>Yeah, we will. Uh, what we've seen is a big pivot now towards hospital at home model of care. So you have providers saying, you know, I'll see you in my facility but also extend capabilities so I can see you and treat you at home as well. We've also seen a realization that telehealth is more than a than an occasional video visit because if all you're doing is replacing an occasional in person visit with an occasional video visit. You're not really changing things now. There's a whole different sensors ai other integrations that come together to be able to enable these different models >>for all the business school folks out there and people who understand what's going on with structural change. That's when innovation really changes. Yeah, this is structural change. >>Absolutely. >>Mark, thanks for coming on. Mark Francis chief Digital Health Integration Officer Electronic Caregiver here on the Q. Thanks. Coming >>on. Thank you. My pleasure. >>Okay, more coverage after this short break. I'm john Kerry, your host Aws public Sector summit, We'll be right back mm mm mm
SUMMARY :
caregiver, Mark great to see you tech veteran and former intel back in the day. It's a pleasure to be here. So we were talking before we came on camera about all the innovation going back in the computer industry but now with Um but since that time we have been spending a lot of time and money doing epicenter of providing a platform to help enable that. and connected oriented systems are now the thing structurally adoption and force the government to allow reimbursement coach as well. do the R. And D. What's going on with what's the key drivers for medicine? is finally in place to enable this type of charity distance before that it really wasn't things and that this is a structural change we were talking about. to the providers on top of that. Yeah can you take us through how that works? the product actually come to the camera away from intel called the real sense cameras. So this is where the innovation around these bots and ai come in because you're essentially getting pattern matching And the other thing we get, So take a minute to explain the vision. circle of care so that people get the right information at the right time to deliver the right So I have to ask you if I. P. We could do that if we want to integrate with Uber health or lift we could do that as well if we want to do So that's more the debate that we've had. So now folks go to our website and they So for people out there who are wanting to innovate on you, Yeah, but I mean kind of but if we if we It's kind of like. Different health care systems came to us, they asked if we partner with them to deliver a to assist? So you have providers saying, for all the business school folks out there and people who understand what's going on with structural on the Q. Thanks. Okay, more coverage after this short break.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Memphis | LOCATION | 0.99+ |
john Kerry | PERSON | 0.99+ |
Mark Francis | PERSON | 0.99+ |
Mississippi | LOCATION | 0.99+ |
amazon | ORGANIZATION | 0.99+ |
Mark | PERSON | 0.99+ |
2009 | DATE | 0.99+ |
Washington D. C. | LOCATION | 0.99+ |
65% | QUANTITY | 0.99+ |
five years | QUANTITY | 0.99+ |
50% | QUANTITY | 0.99+ |
77% | QUANTITY | 0.99+ |
two days | QUANTITY | 0.99+ |
Malcolm | PERSON | 0.99+ |
United States | LOCATION | 0.99+ |
intel | ORGANIZATION | 0.99+ |
300 people | QUANTITY | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Uber | ORGANIZATION | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
over $6 million | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
las cruces | LOCATION | 0.99+ |
10 different places | QUANTITY | 0.98+ |
pandemic | EVENT | 0.98+ |
24 hours a day | QUANTITY | 0.98+ |
american Heart Association | ORGANIZATION | 0.98+ |
First one | QUANTITY | 0.98+ |
last winter | DATE | 0.97+ |
two things | QUANTITY | 0.97+ |
Cerner | ORGANIZATION | 0.97+ |
Athenahealth | ORGANIZATION | 0.97+ |
new Mexico | LOCATION | 0.97+ |
24 hours a day | QUANTITY | 0.97+ |
Epic | ORGANIZATION | 0.96+ |
el paso | LOCATION | 0.96+ |
three months | QUANTITY | 0.95+ |
one | QUANTITY | 0.94+ |
Los cruces new Mexico | LOCATION | 0.94+ |
Kobe | ORGANIZATION | 0.93+ |
AWS Summit | EVENT | 0.92+ |
both | QUANTITY | 0.92+ |
G. E. | ORGANIZATION | 0.92+ |
Cuban | OTHER | 0.89+ |
four different apps | QUANTITY | 0.87+ |
A W. S. Public sector summit | EVENT | 0.87+ |
Addison | ORGANIZATION | 0.85+ |
third digital health company | QUANTITY | 0.81+ |
chief | PERSON | 0.81+ |
previous year | DATE | 0.78+ |
24 foundational | QUANTITY | 0.77+ |
Alexa | TITLE | 0.77+ |
health integration officer | PERSON | 0.72+ |
cube | COMMERCIAL_ITEM | 0.7+ |
Aws | EVENT | 0.67+ |
aws | ORGANIZATION | 0.66+ |
Sector | EVENT | 0.65+ |
SAS | ORGANIZATION | 0.65+ |
tennis | TITLE | 0.61+ |
Officer | PERSON | 0.58+ |
CUBA | EVENT | 0.56+ |
Covid | ORGANIZATION | 0.53+ |
Kobe | COMMERCIAL_ITEM | 0.52+ |
IOT | TITLE | 0.49+ |
DC 2021 | LOCATION | 0.45+ |
2.0 | OTHER | 0.43+ |
SAS | TITLE | 0.42+ |
KC Choi, Samsung | Cloud City Live 2021
(upbeat music) >> Okay, I'm back. I'm John Furrier with theCube. We're here in the middle of the action at Mobile World Congress at Cloud City is where the action is. Danielle Royston and Telco DR. Digital disruption here happening. This next interview I did with Casey Choi, the Executive Vice President at Samsung. I did this remotely. He couldn't be here in person. We wanted to bring him in for a conversation. I had a chance to record this with him. He talks about the intelligent Human Edge or Industry 4.0. It was about Edge computing, Samsung as a leader. Obviously we know what they do. They're part of this IOT revolution, Casey Choi, brilliant executive I really enjoyed my conversation. Take a listen. (upbeat music) Welcome to theCube's coverage of Mobile World Congress, 2021. I'm John Furrier host of theCube. We're here with Cube alumni, Casey Choi's Executive Vice President and GM of the Global Mobile B2B Team, Communications Team at Samsung. Casey, great to see you. Thank you for coming off for the special Remote Mobile World Congress. We're here in person, but also hybrid event. We got a lot of remote interviews. Thank you for taking the time to speak with me. >> John. Great to see you. Great as always to be with you and great to be at least here, virtually with the team and in Barcelona from WC. >> You know, in Samsung, we think about the edge. You are leading a team that's driving this innovation. We've talked in the past about Industry 4.0, but the innovation at the intelligent edge, human edge is a big part of it, with 5G. It's just another G, but it's not just another G you got to have a backbone. You got to have a back haul. You got to have an interconnection. You have commercial, not just consumer technology. So the edge is becoming both this human and device commercial environment. So the industry is quickly moving to this. You call it the 4.0 trend. What do you see happening? This is a clear change over the Telco is not what it used to be. Change is coming fast. A lot of disruption, what's your view? >> Yeah, I think we see a number of things done. And certainly from our perspective, which is, I think we've got somewhat of a unique view on this because of our huge focus really in consumer use and attitudes. And certainly it's been informed by what we've seen, what we've all collectively seen over the last year and a half or so, and are still seeing today. And I think one of the things that we're certainly experiencing is I think the edge is it's expanding further out. I think it's also getting more tightly coupled in many respects to the human factor. And it's not just a set of billions of discrete sensors anymore. And I think the evolution of our thinking around this has changed quite a bit from the IOT Version One variant of this. We put more of what I would call billions of these things, communicating all kinds of information, either to the cloud or the data centers and doing it in a very voluminous way. And what we're saying is with the advent of more the human to machine interface, and certainly the capabilities that we're saying both on the network and the device side, it's really redefining how we're thinking about edge. And certainly here at Samsung and with some of our partners, and we're starting to call this more of the intelligent human edge, where the human factor really begins to play a big role in how we're defining the Internet Of Things. And those things include really people. And this is how we're looking at it. >> I love the theme, the human edge, I think that's very relevant. I want to get a human aspect of here tied into the industry side, because as we emerge from the pandemic and move to a broader economic recovery, you see the psychology of the industry where cloud is one of the shining examples of what the pandemic highlighted cloud speed, cloud agility. And now you're seeing with openness in the Teleco industry, that cloud is coming in, open cloud interoperability. So coming out of the pandemic, cloud is the theme is driving an economic recovery, which is driving the psychology of we're back to real life, we're back to business, but it's not business as usual. The fashion is changing. The attitudes are changing. You mentioned that, and now the disruption of how cloud will be implemented. And it seems to be Telco is where these edge and cloud are just completely radically changing, what was once a kind of a slow moving Telco space. So how do you see the partnerships and coming out of the pandemic, some of the response of cloud impact, cloud technology, public cloud impact on this new Telcom? >> Yeah. Let me try to unpack that a little bit. I think we see two dimensions on this, certainly on the carrier side, the operator's side of the equation, we're certainly partnered with everybody across the globe on that. Certainly there's been a definitive impact around software defined everything, right? So, and this has been accelerated really by the standards that have started to develop around 5G. And even now there's a lot of discussion and I'm sure there'll be a lot of it around WMC about 6G and what is happening there. But I think with the advent of things like O-RAN for example, and some of the activity that we're seeing really around NEC type solutions and opportunities, the traditional role of the carrier and the operator is evolving and has to evolve, right? It is now much more aligned with the provision of these types of services that are very different from the type of data or voice services that we've seen in the past. So certainly we're seeing that transition. The second big transition is really around the notion of hybridity. Now we've been talking about this now in the industry for a while, but I think it's really starting to take firm root the idea of not only multiple clouds, but clouds that are deployed either on prem or certainly, available as a service in its various forms. So I think that combination along with the advances that we're seeing in the technology, and this was both on the connectivity side. So certainly around the ultra reliable, low latency communications, what we're seeing with things like slicing, for example, starting to take root as well as frankly, the devices themselves are getting that much more powerful and compact. This is what we're saying with SOC technologies is what we're seeing with the functions being moved more and more to on device capability. So I think about hybrid, I mean, in my past to think about it more as a small data center. How do you compact it, move it out to somewhere else. Now we're thinking about it more in terms of the type of processing capability that you can put really in the hands of the human or hands of the device. And at that point, you really start to get different use cases, start to emerge from that. So this is how we're thinking about this extension and what I'm talking about more as, an expansion on the edge, further out. >> I love is it splicing or slicing, what's the term? Slicing is the technology? >> Slicing, network slicing. >> Slicing, not splicing cable. >> Yeah. >> Slicing. >> Not splicing cable, no. >> Okay so this come up a lot, so splicing kind of points to this end to end, workflows. You look at some of the modern development, the frameworks of successful, you're seeing these multifunctional teams kind of having an end to end visibility into the modern application workflow from CIC pipeline, whatever. Now, if you take the concept of O-RAN you mentioned Open Radio Access Networks, this kind of brings up this idea of interoperability, because if you're going to have end to end and you add edge to it, you have to have the ability to watch something go end to end, but it's never been like that in the past because you had to traverse multiple networks. So this becomes kind of this hybrid a little bit deeper. Can you share how you see that and how Samsung's working with folks and how you guys are addressing this because you can be at the edge, but ultimately you've got to integrate. So you've got openness, you've got the idea of interoperability issues, and you ultimately have to move around and work with other networks, other clouds and other systems. This is not, it's not always like that. So can you share how this is evolving and how real this is and what is your view on it. >> Yeah, our thinking on this. I mean, let me start by maybe tackling this in a little bit of a different angle. One of the things that we see as one of the barriers around interoperability has really been more on the application side of the equation. And this is actually the third component in making all of this work. And let me just be very clear in what I'm saying here, I think in terms of mobile architectures and really Edge architectures, it has been one of the last bastions, if you will of closed architectures, there've been very much what I would call purpose-built architectures at the edge. Certainly that's been driven by things like the industrial side coming together with more of the commercial side of the equation, but we think it's time really to extend the interoperability of what we are seeing really on the IT side of the equation and really driven by cloud native. This was really in the area of containers. It's in the area of microservices, it's in the area of cloud native development. And if we're really talking about this, we really need to extend that interoperability from the application point of view on the data point of view, really to the end point. And this is where some of the work that we're doing, and we really embarked on in earnest last year with Red Hat and IBM, and with VMware for example, in really opening up that edge architecture to really the open source community, as well as really to the microservices architectures that we have now seen propagate down from the cloud into hybrid architecture. So this has been really one of the key focus areas for us. The network interoperability has really been driven by the standards that we've seen and that have been really adopted by the industry. And when it comes to, for example 5G standards. what we've been more focused on quite honestly, is the interoperability on the application and data side. And we think that by extending, if you will, that write once run many type concepts down into the edge and into the device, that this is going to open up really a wealth of opportunity for us on the application and on the data side. >> That's awesome, I love the openness, love the innovation you guys are doing. I think that's where the action is and that's where the growth is going to be. I do have to ask you how you see edge computing in the IOT era in terms of security. Are we more vulnerable because of it now? And how are you guys addressing the issue of security and data privacy at the edge? What's your opinion on that? What's Samsung doing? >> I mean, we just have to look at the news today, it's obvious that we are more vulnerable, right? There's no doubt that points of vulnerability are being exposed and they're probably being exposed in now industrial areas, right? Certainly with what we've seen, just even recently with some of the attacks that, that have occurred. So a couple of things there, number one, we are relying very heavily on our long history around establishing root of trust in kind of zero trust environments. We've had our Knox platform as an example, we just celebrated, in fact, our 10th year of the product. In fact, it was announced at MWC back about 10 years ago. So this is something that, that we're celebrating, it's an anniversary. Our belief on this is that we really need to ensure that we maintain a hardware-based route across when it comes to the edge. We can't only rely upon software protection at that layer. We can't naturally rely upon some of the network protections that are there. So, we've shipped about 3 billion devices with our Knox Security Suite over the last 10 years. And this is something that we're relying very heavily on. Not only for again, that hardware based root of process. So one of the key solutions, there's our Knox Vault product, which we just released a few months back. This is really a safe within a safe concept, really ensuring that the biometric password and other user data is protected. It's really what drives some of our strategy around making sure that we rely upon something that protects all of the back doors that are resident, not only at the software layer, but at the hardware layer as well. And then management is the other key piece of this, security without the ability of managing these thousands to millions of devices is really somewhat compromised. So we've extended a lot of our Knox management capability at our device level really to address some of those particular attributes, as well as these fleets become more prominent. And they start to take on workloads that are more critical to IOT type workloads. >> Casey, great to have you on. Your insight's awesome. Love what you're doing at Samsung. And again, you're a leader, you've been there, you've seen those cycles of innovation. I have to ask you my final question for you is a personal one and a professional one. The last Mobile World Congress was 2019. In person, last year was canceled a lot's happened in the industry since 20 something months ago. Now we're going to be in person, a lot of hybrid still remotely, but there'll be people in person. The world's changed. What is the big change in the Telco, Telco Cloud, Telco Edge, what's happened in these 20 plus months since the last Mobile World Congress that people should pay attention to? What's the most important thing in your mind? >> Most important? Thank God John. You're putting me on the spot here, right? I think it's wisdom to be quite honest with you. I mean, we've certainly all collectively learned a lot in terms of user patterns and what people need and want. And I hope to think that collective wisdom is going to be a key part of how we drive this going forward. And then if I can just pick one more, I would say re-invention, I think what we're starting to see is that coming out of, again from 2019 to what we're seeing now, we do see this opportunity reinventing and rethinking. And I think that's the difference. And the pace of that is going to really dictate how we look at this and how we collectively solve these challenges. So I hope to think we're wiser and that we're more imaginative coming out of this. And again after being in this industry for 30 years, we've not seen the types of things that we've seen over the last couple. So I hope to think that this is a pivot point for all of us. >> Well, Samsung is certainly a leader in many areas and great to see you on theCube here and the theme in your talks around intelligence, human edge innovation, open. This is a force that's happening. And I think the big change, as you said, the wisdom combined with a reinvention is happening and it's going to be very interesting ride, should be fun to work on. >> It will be John and I thank you for our friendship and our relationship over the years. It's always great to see you and to be with you. And again, we're very optimistic as we always have, coming out of this And again, thanks for the time and have a great MWC. >> You too, Casey Choi, Executive Vice President General Manager of the Global Mobile Business to Business Unit Commercial Unit at Samsung. This is theCube's coverage of Mobile World Congress. I'm John Furrier. Thanks for watching. Okay. We're back here. That was Casey Choi. Talk about wisdom, collective wisdom coming out of the pandemic. Great friend of theCube, great friend of the industry doing great work there. Casey Choi. Like we are doing here on the ground at Mobile World Congress in Cloud City, as well as Adam and the team in the studio. So back to you, Adam and team.
SUMMARY :
and GM of the Global Mobile B2B Team, Great as always to be with you and great So the industry is quickly moving to this. and certainly the capabilities and coming out of the pandemic, and some of the activity but it's never been like that in the past One of the things that we see and data privacy at the edge? that protects all of the in the industry since And the pace of that is going and the theme in your and our relationship over the years. great friend of the industry
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Telco | ORGANIZATION | 0.99+ |
Samsung | ORGANIZATION | 0.99+ |
Casey Choi | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Adam | PERSON | 0.99+ |
Casey | PERSON | 0.99+ |
2019 | DATE | 0.99+ |
thousands | QUANTITY | 0.99+ |
last year | DATE | 0.99+ |
30 years | QUANTITY | 0.99+ |
Barcelona | LOCATION | 0.99+ |
10th year | QUANTITY | 0.99+ |
Cloud City | LOCATION | 0.99+ |
today | DATE | 0.99+ |
Cloud City | LOCATION | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
2021 | DATE | 0.99+ |
Teleco | ORGANIZATION | 0.99+ |
Mobile World Congress | EVENT | 0.99+ |
One | QUANTITY | 0.99+ |
20 plus months | QUANTITY | 0.99+ |
Telco Cloud | ORGANIZATION | 0.99+ |
third component | QUANTITY | 0.98+ |
Telco Edge | ORGANIZATION | 0.98+ |
two dimensions | QUANTITY | 0.98+ |
KC Choi | PERSON | 0.98+ |
both | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
20 something months ago | DATE | 0.97+ |
about 3 billion devices | QUANTITY | 0.97+ |
Global Mobile B2B Team | ORGANIZATION | 0.97+ |
Cube | ORGANIZATION | 0.96+ |
billions | QUANTITY | 0.96+ |
pandemic | EVENT | 0.96+ |
Danielle Royston | PERSON | 0.96+ |
WC | LOCATION | 0.95+ |
Telcom | ORGANIZATION | 0.95+ |
millions of devices | QUANTITY | 0.94+ |
NEC | ORGANIZATION | 0.93+ |
Executive Vice President | PERSON | 0.92+ |
about 10 years ago | DATE | 0.92+ |
last year and a half | DATE | 0.91+ |
billions of discrete sensors | QUANTITY | 0.88+ |
4.0 | QUANTITY | 0.88+ |
last 10 years | DATE | 0.88+ |
Knox Security Suite | TITLE | 0.87+ |
Global Mobile Business to | ORGANIZATION | 0.84+ |
couple | QUANTITY | 0.8+ |
Knox Vault | ORGANIZATION | 0.8+ |
Knox | TITLE | 0.8+ |
Dennis Hoffman, Dell Technologies | Dell Technologies World 2021
>>Okay, welcome back to the cubes coverage of Del tech world. I'm john for your host of the cube we're here for virtual coverage were not yet face to face as we start to come out of covert, we're still doing the remote but we got the cube virtual. We're here with Dennis Hoffman, senior Vice President, General Manager for the telecom Systems business group within Dell Technologies dead. It's great to see you. Thanks for coming in CUba alumni. Thanks for coming on. >>My pleasure, john great to see you and look forward to the days when we can stop doing this virtually. >>Well, you guys have been certainly pumping out a lot of content and right now telco cloud telco disruption is big. We heard Michael Dell last event and even when we were in person in real life, we he was really laying down the five G leadership now with hybrid cloud, um, standardized, pretty much I mean, consensus is no, no debate really. It's hybrid multi cloud on the horizon. That's still just a subsystem of basically distributed computing A. K. A hybrid cloud makes the edge a huge part of the story this year. And the innovations all around telecom, Edge in five G have been around and they're changing really fast. What's how are these Edge in five G technologies impacting the market today? >>Yeah, it's uh is fascinating times, I'll tell you they are providing really the ultimate carrots, you know, the catalyst for um innovation in the market and really driving the world's network operators To uh want to take advantage of all the opportunity that the edge presents and that 5G enables. And it's, you know, at the end of the day, it's really forcing folks to think hard about if they have the right network architectures to enable that to capture that opportunity to have the right kind of capabilities. And so we're seeing an awful lot of interest in network desegregation, network modernization, various forms of adopting the technology is you and I are familiar with from years of what's going on in data center evolution are really starting to hit the telco network now at a really, really interesting time >>while we're on the landscape. Do you want to get your opinion on something? I've been hearing a lot, certainly in interviewing other folks here at Dell tech world and in the industry about how the edge and the data compute equation and the connectivity has changed how they're going to lay out essentially their factory, their plants, their operations and certainly covid pushing everyone at home has changed the game on how data is being computed on and how apps are being built. This is a huge five G opportunity certainly when you start to get into the business impact, autonomous vehicles, I've been doing stories about autonomous boats and everything we could have an autonomous cube soon. So, you know, everything is autonomous which drives to this whole edge piece, What's your take on that? >>Yeah, you know, it's, it's funny for years we've been talking about on prem and off prem, like there's two problems there turns out there's a third Prem, right? There is the other premises and that is not the private data center and not the public cloud. And when you stop and think about it, it it makes sense because at the end of the day, wherever we can get data, we can create digital advantage and it's always been cheaper and more effective and faster to move compute to data than to move data to compute. So technology is like 5G are beginning to make it possible to run very interesting applications in very different places and capture what is predicted to be some 3/4 of the data created over the next decade is going to get created somewhere other than a private data center or a public cloud. And that's the edge, you know, in telcos, look at that third premises as their opportunity to get another bite of the apple on services. Four G was kind of a story of the over the top. Players really took the profit pool and made a lot of money from the over to the netflix is to the itunes and so on and so forth. But when you come back to Five G and think of it kind of as the Enterprise G, it's a chance now for the world's network operators to really get a chunk of that profit pool that comes from the emergence of this third premises called the edge >>Enterprise G. I love that, I'm gonna steal that from you. It's a great, great uh >>somebody else >>uh Yeah, the new trend, but it's a business, it's a business opportunity again, totally cool. And consumers to um okay, so you got your out on the road a lot. I know that we've talked in the past on the cube. There's a lot of discussions in the industry, as well as customers that you're having. What are you hearing? What are the some of the pain points are, see Covid has unveiled unveiled new use cases, people had had adapted to it. There's adaptations that are out there that are new and then things that might not happen again. What are you hearing from customers? >>Yeah, I would say in summary, we're hearing a mix of optimism and uncertainty, optimism around all the stuff we just talked about and that you mentioned, you know, it's it's a blank from anywhere. World right work from anywhere, learn from anywhere. Medicine from anywhere. And you know, if the pandemic has taught us anything, it's about the absolute necessity of communications technology to the world we live in today. The uncertainty comes from this question of, okay, so I know that there's this big opportunity and I know that I need to modernize my network architecture and kind of change the way I operate to capture it all. But the architecture is I run on today, make that really hard. And the architecture is that that the modern data center is built on, We know they work. But how do I get them in a way that allows me to build a resilient, high performance agile communications network. Um, you know, today we uh we face a world in which we see, we have a world in which solutions are delivered very fairly monolithically in the network uh for network operators but going forward, the power to potentially decompose all of that is wonderful provided it can be recomposed in a way they can consume. And I think that's where the uncertainty lies. There's a lot of testing and trialing of pieces of applications of underlying hardware, infrastructure, servers, accelerators, um certainly different types of virtualization and container ization technologies. But in the end these networks need to run it many many many nines um and they need to be extremely robust and pulling together a lot of different components from the open ecosystem is a daunting challenge for most of the network operators. >>You know, I hear you saying about the opportunity recognition and the re factoring how we called re composing this opportunity here and again. I like this enterprise G angle because what it means is that it's not the consumer the only it's it's everything. It's a complete consumer ization of I. T. So it's a whole another edge landscape. Prem third, the third premise is the edge. All good. I've always so set on the cube and certainly Dave and I have David and I have riffed on this is that you know, everything is now cloud operations and the data center is a big edge and then you've got other pieces that are just edges. A distributed system kind of sounds like a computer in the cloud. So this is kind of operating model. So I have to ask the question which is in telco, if it's gonna be distributed like that and it's going to be operated at scale, how is Dell responding to capture the mind share and customers using Dell in this new telco disruption? Because it's kind of you got to keep the lights on and you gotta also get them in a position to take advantage of the new opportunity. How are you responding? >>Yeah, Well, we're trying to we're literally trying to fill that gap, you know, the talking to the world's uh modern or say the world's telecom network operations leaders. We've uh we've had a lot of conversations with folks about what they need to do and what's holding them back from really in many ways taking advantage of the digital transformation that that's kind of rippling through the economy. And as they kind of laid that out to us, we decided that it was an enormous opportunity for Dell that this this uh you know, this new network will be fundamentally built on computer technology uh and it will be open industry standard computer technology. And on top of that we will use virtualization. And if this begins to sound like the way data centers are being built, because that's exactly what's happening. But more than that, I think there's a need for an at scale substantial provider that the world's biggest carriers can bet on and feel they can trust as a strategic partner to not only pull the ecosystem together, validated, certified, curated a little bit uh, and deliver it as an outcome, but then stand behind it running and importantly, do all of that in a way that doesn't constrain the continuous innovation. That's really the hallmark of some of these modern architecture. So for us, we see, you know, an opportunity that is literally perfectly built for a company like dealt and that's why we decided to invest in it. That's why you hear Michael talking about it a lot. Uh it's um, you know, it's it's really super well aligned with our strategy, we think it's actually key to winning the edge. Uh and and it's also really well aligned with our purpose, you know what this company exists to accelerate human progress through technology. And this little slice of it is all about accelerating communications and the transformation of modern networks to do exactly that right, To help close the digital divide, to bring fair and equitable medicine and learning to all, um and to allow us all to work from wherever we're working. So it's uh it's something that we're excited about on multiple levels and we think the company is really built for the distributed computing environment that a modern telco network represents. >>Yeah, what's interesting is that the value that you guys can enable at the edge, his real impact, It's not just data center and compute and have applications. Remember the old days I got my crm in my E. R. P and I got my apps on my systems and it's all good now. Business is completely software enables, it's the entire business and the business is software naval, which means that you have to have that edge. So I totally love of the positioning and strategy. I have to ask you if you don't mind, where is the residents with customers when you look at the telco enablement there that you're enabling them to do what's resonating the most, what's jumping out from the telescopes in terms of what Dell's doing for them And the customers, you mentioned tele medicine, which by the way, is an amazing impact to the world. Just one example. But where's the residence? >>Yeah. You know, first we we are what we are. Right. So it's, I think with a lot of conversations, it begins with, um, the telecommunications network needs server technology, but it needs very specific kinds of server technology built in very specific ways. Um, the, you know, the needs of compute at the base of a cell tower on a hill in Montana in the middle of winter are different than we've been building for data centers for years. So I think the first thing that resonates it, I need it, I need a very specific kind of open compute, uh, infrastructure hardware foundation that is industry standard. And, and we turn to somebody like Delta do do exactly that. But what we've learned is there's so much more than that because really we need to begin to deliver outcomes on top of that foundation. Uh, First outcome, we need to deliver his modern operations and maintenance of a distributed network. Zero touch provisioning, zero touch upgrading. How can we impact the total cost of maintenance and ownership in a meaningful way, um, for a network that is in fact constructed out of a fabric of server. On top of that there's the actual network core network services, Edge, the radio access network. And how do we successively open up each section of the network, driving computing storage all the way to the edge? Because for many organizations in the world, many enterprises, their edge will actually be on the telco premises. Right. The telco edge will be their edge. Some of the bigger companies certainly can build their own. But as you get in the world of medium and small business, the person they buy their circuits from and their communications from. If they have the ability to deliver them private slices of networks and virtual compute and storage, that's going to be how they get after it. So you know for us that next piece that resonates is the ability to pull together solutions like we've been doing for years with the ex rail hyper converged the stuff we did with the C. E. Back in the day and then last >>I'm just saying that you know you're bringing up things that kind of sound. It's super complex physical plant and equipment. You're talking about real hard and purpose built devices in the past very operational technology oriented stuff and then that has to have I. T. Agility right? And then have scalability behind it and complete you know integration this is not obvious and easy. It's hard. >>Yeah. No I mean software doesn't run on software right? Software runs on hardware and so as much as a lot of the power and the interest comes from what the application can do underlying it all is a capability to distribute, compute and storage to where the application or the software wants to run or runs best. That's what's really cool about five G is its ability to do the stuff you mentioned earlier on, you know, the, the G Wiz stuff, drones and autonomous and a AR and VR and all the things that ultra reliable, low latency communication would make possible on a grand scale that really bring the machines into the picture, not just humans on the edge. It's the stuff, right? That that's on the edge and we've been talking about it for a long time, but none of it's gonna matter if we don't put this infrastructure foundation in place. Then we got to lay an open marketplace of containerized network functions. Virtualized network functions on top of that all to enable our network operators to deliver interesting services to end users. It's >>super exciting. I got to say that it's a super exciting because you know, it's coming it's like the energies there, it's like the, you know, the storm's coming of disruption in the innovation because you think about what containers and cloud native kubernetes the cloud native technologies can do for legacy because its shelf life and more headroom, right? So you can you can win these telcos can actually not only pivot but line extension into new capabilities. So they tend to be very strong technically is an operator, operator networks, the hard tech stuff, physical stuff and software but not known for it. I mean but now there's a huge opportunity that's gonna come around the corner. I'm bullish on Iot and edge where you have the O. T. And I. T. Coming together. It's really compelling And it's going to be radically different I think in the next 5 to 10 years what's your take on that in terms of outlook? >>Couldn't agree more. Yeah I mean it's you know it's for those of us are in the industry always the knowledge of what's coming or the belief in what's coming. The hype precedes the actual development. But you know just as I don't know 15 20 years ago the idea that you can completely disrupt the taxi industry with an app and a four G smartphone service was in nobody's mind except maybe a couple of people. You >>know it >>makes you wonder what is the what is the uber equivalent of a business service that will be fundamentally enabled by the architecture we just described that we're not thinking about right now and that's why every time we move from a centralized computing model to a decentralized computing models that decentralized computing models dramatically larger than a centralized, >>way >>bigger than mainframe. Edge, way bigger than client server, which is already way bigger than cloud, Public. Cloud. And so I think it's, you know, there's a, there's a lot of promise, a lot of excitement. Still a long way to go though. A lot of the stuff we're talking about still is not actually rolled out into the network. Um and that's kind of the opportunity for somebody like them. >>Yeah. And decentralized and open winds. It's funny you mentioned high, we were talking David was just talking with Michael Dell and Pat Gelsinger in 2013. We're talking hybrid cloud, that's 78 years ago. Okay, so good stuff. Let's get into the news real quick. Um Deltek World, you've got some news coming. Uh Let's dig into it. Please share some of the outlook of the news. You're gonna be you're you're announcing here? >>Yeah, thanks. Sure, john, I mean, we're gonna be announcing two things relative to the telecom portfolio. Uh and they're both reference architectures with VM ware. One is the second edition of the telco cloud platform for five G. Um, so that's a Delvian where reference architecture, that is exactly what we just talked about. It's this open software defined on industry standard hardware platform, um for running 5G applications. And then the other one is the first version of the telco cloud platform for the radio access network, TCP ran as we would call it. Um and as we start to push this technology from the core out towards the edge of the telecom network. So to really interesting developments in in deep partnership with VM ware and stuff, we've been working on for a while stuff, we are in fact working on with customers and delivering today and we'll be making formal announcements about those at the D T W show. >>Awesome. Dennis, thanks for coming on the Cuban, sharing the update and thanks for the industry insight. Uh, I love the telco shift that's going on. It's an extension of existing, I think cloud native saves the day here with telco and allows the completely different landscape to evolve. So you guys were on top of it. Thanks for sharing S VP and general manager, the telecom systems business with Dell Dennis. Hoffman. Thanks for coming on. >>Thanks john Okay >>cube coverage here. Del Tech world. I'm john for a year. Thanks for watching. Yeah.
SUMMARY :
It's great to see you. of the story this year. the ultimate carrots, you know, the catalyst for um innovation compute equation and the connectivity has changed how they're going to lay out essentially made a lot of money from the over to the netflix is to the itunes and so on and so forth. It's a great, great uh There's a lot of discussions in the industry, as well as customers that you're having. optimism around all the stuff we just talked about and that you mentioned, you know, it's it's a on the cube and certainly Dave and I have David and I have riffed on this is that you know, everything is now cloud So for us, we see, you know, an opportunity that is literally perfectly it's the entire business and the business is software naval, which means that you have to have that edge. of the network, driving computing storage all the way to the edge? And then have scalability behind it and complete you much as a lot of the power and the interest comes from what the application can do I got to say that it's a super exciting because you know, it's coming it's like the energies there, the idea that you can completely disrupt the taxi industry with an app and a four G smartphone service was A lot of the stuff we're talking about still is not actually rolled out into the network. of the news. One is the the telecom systems business with Dell Dennis. Thanks for watching.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dennis | PERSON | 0.99+ |
2013 | DATE | 0.99+ |
David | PERSON | 0.99+ |
Michael | PERSON | 0.99+ |
Dennis Hoffman | PERSON | 0.99+ |
Montana | LOCATION | 0.99+ |
Dave | PERSON | 0.99+ |
Delta | ORGANIZATION | 0.99+ |
Dell Technologies | ORGANIZATION | 0.99+ |
Pat Gelsinger | PERSON | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
telco | ORGANIZATION | 0.99+ |
Michael Dell | PERSON | 0.99+ |
john | PERSON | 0.99+ |
two problems | QUANTITY | 0.99+ |
both | QUANTITY | 0.99+ |
first version | QUANTITY | 0.99+ |
itunes | TITLE | 0.98+ |
uber | ORGANIZATION | 0.98+ |
one example | QUANTITY | 0.98+ |
apple | ORGANIZATION | 0.98+ |
netflix | ORGANIZATION | 0.98+ |
this year | DATE | 0.97+ |
second edition | QUANTITY | 0.97+ |
One | QUANTITY | 0.97+ |
pandemic | EVENT | 0.97+ |
each section | QUANTITY | 0.97+ |
first | QUANTITY | 0.96+ |
two things | QUANTITY | 0.96+ |
third | QUANTITY | 0.96+ |
today | DATE | 0.96+ |
78 years ago | DATE | 0.95+ |
telcos | ORGANIZATION | 0.95+ |
first thing | QUANTITY | 0.94+ |
10 years | QUANTITY | 0.93+ |
15 20 years ago | DATE | 0.92+ |
Zero touch | QUANTITY | 0.92+ |
2021 | DATE | 0.92+ |
Delvian | OTHER | 0.91+ |
third premises | QUANTITY | 0.91+ |
third premise | QUANTITY | 0.91+ |
Del | ORGANIZATION | 0.9+ |
D T W | EVENT | 0.89+ |
next decade | DATE | 0.87+ |
Dennis. Hoffman | PERSON | 0.86+ |
Enterprise G. | TITLE | 0.83+ |
G Wiz | COMMERCIAL_ITEM | 0.83+ |
zero touch | QUANTITY | 0.82+ |
a year | QUANTITY | 0.81+ |
one | QUANTITY | 0.81+ |
edge | ORGANIZATION | 0.79+ |
Five G | ORGANIZATION | 0.79+ |
Iot | ORGANIZATION | 0.77+ |
5 | QUANTITY | 0.76+ |
3/4 of | QUANTITY | 0.74+ |
Enterprise G | TITLE | 0.73+ |
First outcome | QUANTITY | 0.73+ |
Four G | TITLE | 0.73+ |
telco edge | ORGANIZATION | 0.72+ |
years | QUANTITY | 0.72+ |
Dell Technologies World | ORGANIZATION | 0.69+ |
CUba | ORGANIZATION | 0.68+ |
nk cloud | ORGANIZATION | 0.62+ |
Cuban | LOCATION | 0.6+ |
Deltek World | ORGANIZATION | 0.58+ |
G | ORGANIZATION | 0.54+ |
Covid | PERSON | 0.5+ |
Prem | COMMERCIAL_ITEM | 0.48+ |
telco | TITLE | 0.46+ |
Edge | COMMERCIAL_ITEM | 0.44+ |
five | TITLE | 0.4+ |
IBM28 Manish Chawla VTT
>>from around the >>globe. It's the cube with digital >>coverage of IBM >>Think 2021 >>brought to you by IBM. Welcome back everyone to the cubes coverage of IBM Think 2021 I'm your host john ferry with the cube. Our next guest is Michelle well who's the industry General manager of Energy resources manufacturing. Great guest to break down this next generation of infrastructure, modern applications and changing the business and the super important areas is regulated verticals. Great to see you. Thank you for coming back on the queue. >>Thank you john good to meet you. >>You know this is the area where I've been saying for years the cloud brings great scale, horizontally scalable data but at the end of the day AI and automation really has to be specialized in in the verticals and this. We're going to see the action ecosystems for connecting. This is a big deal here think this year transformation is the innovation innovation at scale. It seems to be the underlying theme that we've been reporting on. So I'd love to get your thoughts on how you see this fourth industrial revolution as you say, coming about. Can you define for us what that means and when you say that, what does it mean for customers? >>Yeah, sure, sure. So you know, in in sort of simple terms, all the technologies that we see around us whether it's a I we talk about a I we talked about five G. We talk about edge cloud, robotics. So the application of those to the physical world in some sense, in the industrial world is what we define as uh as the fourth industrial revolution. Essentially it's the convergence between the humans, the physical aspect by the machines and the cyber at the digital aspects, bringing that together so companies can unlock the value from the terabytes and petabytes of data that's that are connected world is now able to produce, >>How does the IOT world come in? We've been again, I did a panel I think two years ago called you know the industrial IOT Armageddon. And it was really kind of point, it was kind of provocative title but the point was you know, the industrial connections are all devices now and they're connected to the network security. Super important, this industrial revolution includes this new edge, it's gotta be smarter and intelligent. What's your take on that? >>Absolutely, it is about the edge, it's about devices, it's about delivering capturing the data from the emptying devices. We've recently heard about the chip shortage which gives you an idea that there is so much utilization of compute power everywhere in the world and the world is becoming very software defined. So whether it's software defined machines, software defined products, the washing machines that he that we use at home, the cars we use at home, there everything is gradually becoming, not gradually, I'd say rapidly becoming intelligent and so that edge or IOT is the foundation stone also everything we're talking about. >>Well you mentioned software on a chip, S. O. C. Um, that's a huge mega wave coming. That's gonna bring so much more compute into smaller form factors. Which leads me to my next question, which kind of, I'm kind of answering for myself, but I'm not a manufacturing company, but why should they care about this trend from a business perspective? Besides the obvious new connection points? What's really in it for them? >>Yes, it's a big topic right now, is, is this topic of resilience? Right, So that's one aspect uh, this the pandemic has taught us that resilience is a core objective. The second objective which which is front and center of all CEOS, or CEOS, is out performance. And so what we're seeing is is out performance, are investing in technology for many goals, right? So it's either sustainability which is a big topic these days and huge priority. Uh it's about efficiency, it's about productivity, it's also now more and more about delivering a much stronger customer experience, right? Making your products easier to use much easily consumable as well. So, if you, when you pull it all together, it's it's an end to end thinking about using data to drive those objectives of out performance, as well as resilience. >>What's the progress being made so far in the manufacturing industry on this front? I mean, is it moving faster? Are you mentioned accelerating? But where is the progress bar? Right now? >>So, I think as we came into 2020, I would have described it as we were starting to enter the Chapter. Two companies were moving from experimentation to really thinking of scaling this and and what we found is the pandemic really caused a big focus on these. As Winston Churchill has been attributed the court never waste a good crisis. So a lot of ceos, a lot of executives and leadership really put their What their energy into accelerate industrial transformation. I think we relieve 2/3 southwell have been able to accelerate the industrial transformation. So the good news is, you know, companies don't have to be convinced about this anymore. They're really they're focuses on what's where should I start? Where should I focus on what should I do next? Right is really the focus and they're investing instead of two types of technologies is the way we see it, what I would call foundational technologies because there's a recognition that to apply the differentiating technologies like Ai and captured and taking value of the data, you need a strong architectural foundation. So whether it's it's cybersecurity, it's what we call it, the integration, connecting the devices back to to the mother ship and it's also applying cloud. But cloud in this context is not about typically what we think is public cloud or or or central spot. It's really bringing cloud like technology is also to the edge I. E. To the plant or to the device itself, whether it's a mobile device or a physical device. And that foundation is the recognition that you've got to have the foundation, that you can build your your capabilities on top, whether it's for customers or clients and colleagues >>as a great insight on the architecture, I think that's a successful playbook. Um It sounds so easy, I do agree with you. I think people have said this is a standard now, Hybrid cloud the edge, pretty clear visibility on the architecture of what to do or what needs to be done, how to do it almost story. So I have to ask you, we hear this barriers, there's always blockers. I think Covid released some of those, relieved some of those blockers because people have to force their way into into the transformation. But what are those barriers um that that are stopping the acceleration for customers to achieve the benefits that they need to see. >>Yes. So I think 11 key barrier is is a recognition that most of our plants or manufacturing facilities that supply chains really run run in a brownfield manner. I there's so many machines, so many facilities that have been built over decades. So there's a there's a proliferation of different ages of devices, machines, etcetera. So making sure that there is a focus on laying out the foundation. That's a key key barrier. Uh There is also a concern that uh you know, the companies have around cybersecurity, the more you connect, the more you increase the attack surface and we know that that acts and so on are the dominant issue. Now, whether it's for ransom, fair or for or for other malicious reasons, uh and so modernizing the foundation and making sure you're doing it in a secure way. Those are the key concerns that executives have. And then another key barrier I see is making sure that you have a key key core objective and not making sure making too many different varied experimentation bets. So keeping a focus on what's the call? Use case of benefit your after and then what's the foundation to make sure that you're going after it? Like I said, whether it's quality or productivity or such, like >>So the keys to success that I get this right is gonna have the right framework for this, as you say, industry 4.0, you got to understand the collaborative dynamics and then have an ecosystem. Yeah, can you unpack those three things? Because take me through that, you got to the framework, the collaboration and the ecosystem. What does that mean? Specifically? >>So uh the way, I think the simplest way to think of it as the amount of work and effort that all companies have been put in is so great in front of them, the opportunities are so great as well uh that nobody can hire all the smart people that are needed to achieve the goals. Everybody has their own specific I would say focus and capabilities they bring to bear. So the collaboration between manufacturers, the collaboration between operational technology companies like the Seaman's, A B B, Schlumberger's, etcetera. And and it technology companies like ourselves that three part collaboration is sort of the heart of what I see as ecosystems coming together. The other dimensionality of ecosystems is also looking at it from a supply chain or value chain perspective because how something becomes more intelligent or smarter or more effective is also being able to work across the supply chain or value chain. So those, those are our key focus areas, make sure we are collaborating across value chains and supply chains as well as collaborating with manufacturers and oT operational technology companies to be able to bring these digital capabilities with the right capabilities of operational technology companies into the manufacturers. >>If I asked you, how is you doing that? What specifically would you say? I mean, how are you collaborating? What's some examples, give some examples of of this in action? >>Certainly. So we recently announced uh over the last say nine months or so, three strategic very translated partnerships. The first one I'll share with you is uh is which number number two is the world's largest oil field services company and now also the world's largest distal technology company for the oil and gas industry. So we've collaborated with them to bring hybrid cloud to the digital platforms so they now can deploy the capabilities to any customer regardless of whether they want it in country or on a public cloud. Another example is we've we've established a data platform which number J for the oil and gas industry to be able to bring again that data platform to any location around the world. The advantage of hybrid, the advantage of A. I with the B. B. What we've done is we've taken our smarts in I. T. Security connected with their products and capabilities for operational systems and now are delivering an into institution that you can get cyber alerts or issues coming from from manufacturing systems right down to right up to an I. T. Command center where you're seeing all the events and alerts so that they can be acted upon right away. So that's a great example of collaborating with from a security point of view. The 3rd 1 is industrial iot with ceilings and we've partnered with Siemens to deliver their minds Fear Private cloud edition delivered on our red hat Hybrid cloud. So this is an example where we are able to take our horizontal technologies, apply it with their vertical smarts and deep industry cause of context put our services capabilities on top of it so they can deliver their innovations anymore. >>It is such an expert on this, such a great leader on this area. And I have to ask you, you know, you've been in this um mode of evangelizing and leading teams and building solutions around digital re platform or whatever you wanna call her innovation. Um what's the big deal now? If you had to? I mean, it seems like it's all coming together with red hat under the covers, get distributed networks with the edge, it's all kind of coming together now for the verticals because you get the best of both worlds programmable scalable infrastructure with modern software applications on top. I mean you've been even even in the industry for many, many waves, why is this wave so big and important? >>So I think there is no longer uh big reason why it's important. I think there's no no reason why companies have to be convinced now the clarity is there, that this needs to happen. So that's one. The second is I think there is a high degree of expectation among consumers, among employees and among among customers as well that everything that we touch will be intelligent. So these technologies really unlock the value, uh unlock the value and they can be deployed at scale. That's really, I think what we're seeing as the focus now and being able to deliver the innovation anywhere, whether someone wants it at the edge next to a machine that's operating or be able to look at how a manufacturing facility or different product portfolio is doing in the boardroom, it's all available and so that shop floor, the top floor connection is what everybody is aiming for. We also now called edge to enterprise >>And everything works better. The employees are happy, people are happy to, stakeholders are happy finish. Great insight. Thank you for sharing here on the Cube for think 2021. Thanks for coming on the Cube. >>Absolutely. Thanks for having me. >>Okay. I'm John Kerry hosted the queue for IBM think 2021. Thanks for watching. Yeah. Mm. Yeah.
SUMMARY :
It's the cube with digital brought to you by IBM. So I'd love to get your thoughts on how you see this fourth industrial revolution as you say, So the application of those they're connected to the network security. We've recently heard about the chip shortage which gives you an idea that there is so much utilization of Besides the obvious new connection points? So it's either sustainability which To the plant or to the device itself, whether it's a mobile device or a that are stopping the acceleration for customers to achieve the benefits that they need to see. modernizing the foundation and making sure you're doing it in a secure way. So the keys to success that I get this right is gonna have the right framework for this, as you say, industry 4.0, So the collaboration between manufacturers, the oil and gas industry to be able to bring again that data platform to any location it's all kind of coming together now for the verticals because you get the best of both worlds programmable scalable it's all available and so that shop floor, the top floor connection is what Thanks for coming on the Cube. Thanks for having me. Thanks for watching.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Michelle | PERSON | 0.99+ |
Siemens | ORGANIZATION | 0.99+ |
John Kerry | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Two companies | QUANTITY | 0.99+ |
Winston Churchill | PERSON | 0.99+ |
2020 | DATE | 0.99+ |
two types | QUANTITY | 0.99+ |
john ferry | PERSON | 0.99+ |
second objective | QUANTITY | 0.99+ |
john | PERSON | 0.99+ |
Think 2021 | COMMERCIAL_ITEM | 0.99+ |
second | QUANTITY | 0.99+ |
A B B | ORGANIZATION | 0.98+ |
two years ago | DATE | 0.98+ |
nine months | QUANTITY | 0.98+ |
fourth industrial revolution | EVENT | 0.97+ |
3rd 1 | QUANTITY | 0.97+ |
one aspect | QUANTITY | 0.96+ |
pandemic | EVENT | 0.96+ |
both worlds | QUANTITY | 0.94+ |
11 key barrier | QUANTITY | 0.92+ |
one | QUANTITY | 0.92+ |
Cube | COMMERCIAL_ITEM | 0.92+ |
first one | QUANTITY | 0.9+ |
three part | QUANTITY | 0.89+ |
Schlumberger's | ORGANIZATION | 0.87+ |
Seaman's | ORGANIZATION | 0.87+ |
southwell | ORGANIZATION | 0.86+ |
three strategic | QUANTITY | 0.83+ |
petabytes | QUANTITY | 0.78+ |
2021 | DATE | 0.77+ |
Covid | ORGANIZATION | 0.73+ |
this year | DATE | 0.68+ |
hat | ORGANIZATION | 0.67+ |
three things | QUANTITY | 0.67+ |
red hat | COMMERCIAL_ITEM | 0.67+ |
terabytes | QUANTITY | 0.61+ |
over decades | QUANTITY | 0.61+ |
cloud | COMMERCIAL_ITEM | 0.61+ |
2021 | OTHER | 0.57+ |
IOT Armageddon | ORGANIZATION | 0.56+ |
number two | QUANTITY | 0.54+ |
Manish Chawla | ORGANIZATION | 0.48+ |
five G. | TITLE | 0.41+ |
think | COMMERCIAL_ITEM | 0.34+ |
Andrew Rafla & Ravi Dhaval, Deloitte & Touche LLP | AWS re:Invent 2020
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Hey, welcome back already, Jeffrey here with the Cube coming to you from Palo Alto studios today for our ongoing coverage of aws reinvent 2020. It's a digital event like everything else in 2020. We're excited for our next segment, so let's jump into it. We're joined in our next segment by Andrew Rafa. He is the principal and zero trust offering lead at the Light and Touche LLP. Andrew, great to see you. >>Thanks for having me. >>Absolutely. And joining him is Robbie Deval. He is the AWS cyber risk lead for Deloitte and Touche LLP. Robbie, Good to see you as well. >>Hey, Jeff, good to see you as well. >>Absolutely. So let's jump into it. You guys are all about zero trust and I know a little bit about zero trust I've been going to are safe for a number of years and I think one of the people that you like to quote analysts chase Cunningham from Forrester, who's been doing a lot of work around zero trust. But for folks that aren't really familiar with it. Andrew, why don't you give us kind of the 101? About zero trust. What is it? What's it all about? And why is it important? >>Sure thing. So is your trust is, um, it's a conceptual framework that helps organizations deal with kind of the ubiquitous nature of modern enterprise environments. Um, and then its course. Your trust commits to a risk based approach to enforcing the concept of least privileged across five key pillars those being users, workloads, data networks and devices. And the reason we're seeing is your trust really come to the forefront is because modern enterprise environments have shifted dramatically right. There is no longer a defined, clearly defined perimeter where everything on the outside is inherently considered, considered untrusted, and everything on the inside could be considered inherently trusted. There's a couple what I call macro level drivers that are, you know, changing the need for organizations to think about securing their enterprises in a more modern way. Um, the first macro level driver is really the evolving business models. So as organizations are pushing to the cloud, um, maybe expanding into into what they were considered high risk geography is dealing with M and A transactions and and further relying on 3rd and 4th parties to maintain some of their critical business operations. Um, the data and the assets by which the organization, um transact are no longer within the walls of the data center. Right? So, again, the perimeter is very much dissolved. The second, you know, macro level driver is really the shifting and evolving workforce. Um, especially given the pandemic and the need for organizations to support almost an entirely remote workforce nowadays, um, organizations, they're trying to think about how they revamp their traditional VPN technologies in order to provide connectivity to their employees into other third parties that need to get access to, uh, the enterprise. So how do we do so in a secure, scalable and reliable way and then the last kind of macro level driver is really the complexity of the I t landscape. So, you know, in legacy environment organizations on Lee had to support managed devices, and today you're seeing the proliferation of unmanaged devices, whether it be you know, B y o d devices, um, Internet of things, devices or other smart connected devices. So organizations are now, you know, have the need to provide connectivity to some of these other types of devices. But how do you do so in a way that, you know limits the risk of the expanding threat surface that you might be exposing your organization to by supporting from these connected devices? So those are some three kind of macro level drivers that are really, you know, constituting the need to think about security in a different >>way. Right? Well, I love I downloaded. You guys have, ah zero trust point of view document that that I downloaded. And I like the way that you you put real specificity around those five pillars again users, workloads, data networks and devices. And as you said, you have to take this kind of approach that it's kind of on a need to know basis. The less, you know, at kind of the minimum they need to know. But then, to do that across all of those five pillars, how hard is that to put in place? I mean, there's a There's a lot of pieces of this puzzle. Um, and I'm sure you know, we talk all the time about baking security and throughout the entire stack. How hard is it to go into a large enterprise and get them started or get them down the road on this zero trust journey? >>Yeah. So you mentioned the five pillars. And one thing that we do in our framework because we put data at the center of our framework and we do that on purpose because at the end of the day, you know, data is the center of all things. It's important for an organization to understand. You know what data it has, what the criticality of that data is, how that data should be classified and the governance around who and what should access it from a no users workloads, uh, networks and devices perspective. Um, I think one misconception is that if an organization wants to go down the path of zero trust, there's a misconception that they have to rip out and replace everything that they have today. Um, it's likely that most organizations are already doing something that fundamentally aligned to the concept of these privilege as it relates to zero trust. So it's important to kind of step back, you know, set a vision and strategy as faras What it is you're trying to protect, why you're trying to protect it. And what capability do you have in place today and take more of an incremental and iterative approach towards adoption, starting with some of your kind of lower risk use cases or lower risk parts of your environment and then implementing lessons learned along the way along the journey? Um, before enforcing, you know more of those robust controls around your critical assets or your crown jewels, if you >>will. Right? So, Robbie, I want to follow up with you, you know? And you just talked about a lot of the kind of macro trends that are driving this and clearly covert and work from anywhere is a big one. But one of the ones that you didn't mention that's coming right around the pike is five g and I o t. Right, so five g and and I o. T. We're going to see, you know, the scale and the volume and the mass of machine generated data, which is really what five g is all about, grow again exponentially. We've seen enough curves up into the right on the data growth, but we've barely scratched the surface and what's coming on? Five G and I o t. How does that work into your plans? And how should people be thinking about security around this kind of new paradigm? >>Yeah, I think that's a great question, Jeff. And as you said, you know, I UT continues to accelerate, especially with the recent investments and five G that you know pushing, pushing more and more industries and companies to adopt a coyote. Deloitte has been and, you know, helping our customers leverage a combination of these technologies cloud, Iot, TML and AI to solve their problems in the industry. For instance, uh, we've been helping restaurants automate their operations. Uh, we've helped automate some of the food safety audit processes they have, especially given the code situation that's been helping them a lot. We are currently working with companies to connect smart, wearable devices that that send the patient vital information back to the cloud. And once it's in the cloud, it goes through further processing upstream through applications and data. Let's etcetera. The way we've been implementing these solutions is largely leveraging a lot of the native services that AWS provides, like device manager that helps you onboard hundreds of devices and group them into different categories. Uh, we leveraged device Defender. That's a monitoring service for making sure that the devices are adhering to a particular security baseline. We also have implemented AWS green grass on the edge, where the device actually resides. Eso that it acts as a central gateway and a secure gateway so that all the devices are able to connect to this gateway and then ultimately connect to the cloud. One common problem we run into is ah, lot of the legacy i o t devices. They tend to communicate using insecure protocols and in clear text eso we actually had to leverage AWS lambda Function on the edge to convert these legacy protocols. Think of very secure and Q t t protocol that ultimately, you know, sense data encrypted to the cloud eso the key thing to recognize. And then the transformational shift here is, um, Cloud has the ability today to impact security off the device and the edge from the cloud using cloud native services, and that continues to grow. And that's one of the key reasons we're seeing accelerated growth and adoption of Iot devices on did you brought up a point about five G and and that's really interesting. And a recent set of investments that eight of us, for example, has been making. And they launched their AWS Waveland zones that allows you to deploy compute and storage infrastructure at the five G edge. So millions of devices they can connect securely to the computer infrastructure without ever having to leave the five g network Our go over the Internet insecurely talking to the cloud infrastructure. Uh, that allows us to actually enable our customers to process large volumes of data in a short, near real time. And also it increases the security of the architectures. Andi, I think truly, uh, this this five g combination with I o t and cloudy, I m l the are the technologies of the future that are collectively pushing us towards a a future where we're gonna Seymour smart cities that come into play driverless connected cars, etcetera. >>That's great. Now I wanna impact that a little bit more because we are here in aws re invent and I was just looking up. We had Glenn Goran 2015, introducing a W S s I O T Cloud. And it was a funny little demo. They had a little greenhouse, and you could turn on the water and open up the windows. But it's but it's a huge suite of services that you guys have at your disposal. Leveraging aws. I wonder, I guess, Andrew, if you could speak a little bit more suite of tools that you can now bring to bear when you're helping your customers go to the zero trust journey. >>Yeah, sure thing. So, um, obviously there's a significant partnership in place, and, uh, we work together, uh, pretty tremendously in the market, one of the service are one of solution offering that we've built out which we dub Delight Fortress, um is a is a concept that plays very nicely into our zero trust framework. More along the kind of horizontal components of our framework, which is really the fabric that ties it all together. Um s o the two horizontal than our framework around telemetry and analytics. A swell the automation orchestration. If I peel back the automation orchestration capability just a little bit, um, we we built this avoid fortress capability in order for organizations to kind of streamline um, some of the vulnerability management aspect of the enterprise. And so we're able through integration through AWS, Lambda and other functions, um, quickly identify cloud configuration issues and drift eso that, um, organizations cannot only, uh, quickly identify some of those issues that open up risk to the enterprise, but also in real time. Um, take some action to close down those vulnerabilities and ultimately re mediate them. Right? So it's way for, um, to have, um or kind of proactive approach to security rather than a reactive approach. Everyone knows that cloud configuration issues are likely the number one kind of threat factor for Attackers. And so we're able to not only help organizations identify those, but then closed them down in real time. >>Yeah, it's interesting because we hear that all the time. If there's a breach and if if they w s involved often it's a it's a configuration. You know, somebody left the door open basically, and and it really drives something you were talking about. Ravi is the increasing important of automation, um, and and using big data. And you talked about this kind of horizontal tele metrics and analytics because without automation, these systems are just getting too big and and crazy for people Thio manage by themselves. But more importantly, it's kind of a signal to noise issue when you just have so much traffic, right? You really need help surfacing. That signals you said so that your pro actively going after the things that matter and not being just drowned in the things that don't matter. Ravi, you're shaking your head up and down. I think you probably agree with this point. >>Yeah, yeah, Jeff and definitely agree with you. And what you're saying is truly automation is a way off dealing with problems at scale. When when you have hundreds of accounts and that spans across, you know, multiple cloud service providers, it truly becomes a challenge to establish a particular security baseline and continue to adhere to it. And you wanna have some automation capabilities in place to be able to react, you know, and respond to it in real time versus it goes down to a ticketing system and some person is having to do you know, some triaging and then somebody else is bringing in this, you know, solution that they implement. And eventually, by the time you're systems could be compromised. So ah, good way of doing this and is leveraging automation and orchestration is just a capability that enhances your operational efficiency by streamlining summed Emmanuel in repetitive tasks, there's numerous examples off what automation and orchestration could do, but from a security context. Some of the key examples are automated security operations, automated identity provisioning, automated incident response, etcetera. One particular use case that Deloitte identified and built a solution around is the identification and also the automated remediation of Cloud security. Miss Consideration. This is a common occurrence and use case we see across all our customers. So the way in the context of a double as the way we did this is we built a event driven architectures that's leveraging eight of us contribute config service that monitors the baselines of these different services. Azzan. When it detects address from the baseline, it fires often alert. That's picked up by the Cloudwatch event service that's ultimately feeding it upstream into our workflow that leverages event bridge service. From there, the workflow goes into our policy engine, which is a database that has a collection off hundreds of rules that we put together uh, compliance activities. It also matched maps back to, ah, large set of controls frameworks so that this is applicable to any industry and customer, and then, based on the violation that has occurred, are based on the mis configuration and the service. The appropriate lambda function is deployed and that Lambda is actually, uh, performing the corrective actions or the remediation actions while, you know, it might seem like a lot. But all this is happening in near real time because it is leveraging native services. And some of the key benefits that our customers see is truly the ease of implementation because it's all native services on either worse and then it can scale and, uh, cover any additional eight of those accounts as the organization continues to scale on. One key benefit is we also provide a dashboard that provides visibility into one of the top violations that are occurring in your ecosystem. How many times a particular lambda function was set off to go correct that situation. Ultimately, that that kind of view is informing. Thea Outfront processes off developing secure infrastructure as code and then also, you know, correcting the security guard rails that that might have drifted over time. Eso That's how we've been helping our customers and this particular solution that we developed. It's called the Lloyd Fortress, and it provides coverage across all the major cloud service providers. >>Yeah, that's a great summary. And I'm sure you have huge demand for that because he's mis configuration things. We hear about him all the time and I want to give you the last word for we sign off. You know, it's easy to sit on the side of the desk and say, Yeah, we got a big security and everything and you got to be thinking about security from from the time you're in, in development all the way through, obviously deployment and production and all the minutes I wonder if you could share. You know, you're on that side of the glass and you're out there doing this every day. Just a couple of you know, kind of high level thoughts about how people need to make sure they're thinking about security not only in 2020 but but really looking down the like another road. >>Yeah, yeah, sure thing. So, you know, first and foremost, it's important to align. Uh, any transformation initiative, including your trust to business objectives. Right? Don't Don't let this come off as another I t. Security project, right? Make sure that, um, you're aligning to business priorities, whether it be, you know, pushing to the cloud, uh, for scalability and efficiency, whether it's digital transformation initiative, whether it be a new consumer identity, Uh uh, an authorization, um, capability of china built. Make sure that you're aligning to those business objectives and baking in and aligning to those guiding principles of zero trust from the start. Right, Because that will ultimately help drive consensus across the various stakeholder groups within the organization. Uh, and build trust, if you will, in the zero trust journey. Um, one other thing I would say is focus on the fundamentals. Very often, organizations struggle with some. You know what we call general cyber hygiene capabilities. That being, you know, I t asset management and data classifications, data governance. Um, to really fully appreciate the benefits of zero trust. It's important to kind of get some of those table six, right? Right. So you have to understand, you know what assets you have, what the criticality of those assets are? What business processes air driven by those assets. Um, what your data criticality is how it should be classified intact throughout the ecosystem so that you could really enforce, you know, tag based policy, uh, decisions within, within the control stack. Right. And then finally, in order to really push the needle on automation orchestration, make sure that you're using technology that integrate with each other, right? So taken a p I driven approach so that you have the ability to integrate some of these heterogeneous, um, security controls and drive some level of automation and orchestration in order to enhance your your efficiency along the journey. Right. So those were just some kind of lessons learned about some of the things that we would, uh, you know, tell our clients to keep in mind as they go down the adoption journey. >>That's a great That's a great summary s So we're gonna have to leave it there. But Andrew Robbie, thank you very much for sharing your insight and and again, you know, supporting this This move to zero trust because that's really the way it's got to be as we continue to go forward. So thanks again and enjoy the rest of your reinvent. >>Yeah, absolutely. Thanks for your time. >>All right. He's Andrew. He's Robbie. I'm Jeff. You're watching the Cube from AWS reinvent 2020. Thanks for watching. See you next time.
SUMMARY :
It's the Cube with digital coverage He is the principal and zero trust offering lead at the Light Robbie, Good to see you as well. Andrew, why don't you give us kind of the 101? So organizations are now, you know, have the need to provide connectivity And I like the way that you you put real specificity around those five pillars to kind of step back, you know, set a vision and strategy as faras What it is you're trying to protect, Right, so five g and and I o. T. We're going to see, you know, the scale and the volume so that all the devices are able to connect to this gateway and then ultimately connect to the cloud. that you can now bring to bear when you're helping your customers go to the zero trust journey. Everyone knows that cloud configuration issues are likely the number But more importantly, it's kind of a signal to noise issue when you just have so much traffic, some person is having to do you know, some triaging and then somebody else is bringing in this, You know, it's easy to sit on the side of the desk and say, Yeah, we got a big security and everything and you got to be thinking so that you have the ability to integrate some of these heterogeneous, um, thank you very much for sharing your insight and and again, you know, supporting this This move to Thanks for your time. See you next time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff | PERSON | 0.99+ |
Jeffrey | PERSON | 0.99+ |
Andrew | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Robbie Deval | PERSON | 0.99+ |
Andrew Rafa | PERSON | 0.99+ |
Robbie | PERSON | 0.99+ |
2020 | DATE | 0.99+ |
Andrew Rafla | PERSON | 0.99+ |
Andrew Robbie | PERSON | 0.99+ |
Deloitte | ORGANIZATION | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
Ravi | PERSON | 0.99+ |
five key pillars | QUANTITY | 0.99+ |
3rd | QUANTITY | 0.99+ |
second | QUANTITY | 0.99+ |
chase Cunningham | PERSON | 0.98+ |
five pillars | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
Ravi Dhaval | PERSON | 0.98+ |
Lloyd Fortress | ORGANIZATION | 0.98+ |
one | QUANTITY | 0.98+ |
one thing | QUANTITY | 0.98+ |
eight | QUANTITY | 0.98+ |
Intel | ORGANIZATION | 0.98+ |
Emmanuel | PERSON | 0.98+ |
One key benefit | QUANTITY | 0.97+ |
two | QUANTITY | 0.97+ |
zero trust | QUANTITY | 0.97+ |
three | QUANTITY | 0.97+ |
One | QUANTITY | 0.97+ |
2015 | DATE | 0.97+ |
aws | ORGANIZATION | 0.96+ |
Iot | TITLE | 0.96+ |
one misconception | QUANTITY | 0.96+ |
4th parties | QUANTITY | 0.96+ |
pandemic | EVENT | 0.95+ |
Light and Touche LLP | ORGANIZATION | 0.95+ |
Glenn Goran | PERSON | 0.95+ |
Deloitte & Touche LLP | ORGANIZATION | 0.95+ |
hundreds of devices | QUANTITY | 0.94+ |
hundreds of accounts | QUANTITY | 0.94+ |
table six | QUANTITY | 0.94+ |
millions of devices | QUANTITY | 0.94+ |
Deloitte and Touche LLP | ORGANIZATION | 0.91+ |
Cube | COMMERCIAL_ITEM | 0.91+ |
Cloudwatch | TITLE | 0.9+ |
Lambda | TITLE | 0.9+ |
hundreds of rules | QUANTITY | 0.9+ |
101 | QUANTITY | 0.9+ |
china | LOCATION | 0.89+ |
Delight Fortress | TITLE | 0.88+ |
first | QUANTITY | 0.86+ |
double | QUANTITY | 0.85+ |
zero | QUANTITY | 0.83+ |
One particular use case | QUANTITY | 0.78+ |
Seymour | ORGANIZATION | 0.77+ |
Eso | ORGANIZATION | 0.77+ |
five G | TITLE | 0.77+ |
BizOps Manifesto Unveiled - Full Stream
>>From around the globe. It's the cube with digital coverage, a BizOps manifesto unveiled brought to you by biz ops coalition. >>Hey, welcome back everybody. Jeff Frick here with the cube. Welcome back to our ongoing coverage of the biz ops manifesto. Unveil. Something has been in the works for a little while. Today's the formal unveiling, and we're excited to have three of the core of founding members of the manifesto authors of the manifesto. If you will, uh, joining us again, we've had them all on individually. Now we're going to have a great power panel first up. We're gab Mitt, Kirsten returning he's the founder and CEO of Tasktop mic. Good to see you again. Where are you dialing in from? >>Great to see you again, Jeff I'm dialing from Vancouver, >>We're Canada, Vancouver, Canada. One of my favorite cities in the whole wide world. Also we've got Tom Davenport come in from across the country. He's a distinguished professor and author from Babson college, Tom. Great to see you. And I think you said you're at a fun, exotic place on the East coast >>Realm of Memphis shoe sits on Cape Cod. >>Great to see you again and also joining surge Lucio. He is the VP and general manager enterprise software division at Broadcom surge. Great to see you again, where are you coming in from? >>Uh, from Boston right next to kickoff. >>Terrific. So welcome back, everybody again. Congratulations on this day. I know it's, it's been a lot of work to get here for this unveil, but let's just jump into it. The biz ops manifesto, what was the initial reason to do this? And how did you decide to do it in a kind of a coalition, a way bringing together a group of people versus just making it an internal company, uh, initiative that, you know, you can do better stuff within your own company, surge, why don't we start with you? >>Yeah, so, so I think we were at a really critical juncture, right? Many, um, large enterprises are basically struggling with their digital transformation. Um, in fact, um, many recognize that, uh, the, the business side, it collaboration has been, uh, one of the major impediments, uh, to drive that kind of transformation. And if we look at the industry today, many people are, whether we're talking about vendors or, um, you know, system integrators, consulting firms are talking about the same kind of concepts, but using very different language. And so we believe that bringing all these different players together, um, as part of the coalition and formalizing, uh, basically the core principles and values in a BizOps manifesto, we can really start to F could have a much bigger movement where we can all talk about kind of the same concepts and we can really start to provide, could have a much better support for large organizations to transform. Uh, so whether it is technology or services or, um, we're training, I think that that's really the value of bringing all of these players together, right. >>And Nick to you, why did you get involved in this, in this effort? >>So Ben close and follow the agile movement since it started two decades ago with that manifesto. >>And I think we got a lot of improvement at the team level, and I think as satisfies noted, uh, we really need to improve at the business level. Every company is trying to become a software innovator, uh, trying to make sure that they can adapt quickly and the changing market economy and what everyone's dealing with in terms of needing to deliver the customer sooner. However, agile practices have really focused on these metrics, these measures and understanding processes that help teams be productive. Those things now need to be elevated to the business as a whole. And that just hasn't happened. Uh, organizations are actually failing because they're measuring activities and how they're becoming more agile, how teams are functioning, not how much quickly they're delivering value to the customer. So we need to now move past that. And that's exactly what the that's manifested provides. Right, >>Right, right. And Tom, to you, you've been covering tech for a very long time. You've been looking at really hard challenges and a lot of work around analytics and data and data evolution. So there's a definitely a data angle here. I wonder if you could kind of share your perspective of what you got excited to, uh, to sign onto this manifesto. >>Sure. Well, I have, you know, for the past 15 or 20 years, I've been focusing on data and analytics and AI, but before that I was a process management guy and a knowledge management guy. And in general, I think, you know, we've just kind of optimized that to narrow a level, whether you're talking about agile or dev ops or ML ops, any of these kinds of ops oriented movements, we're making individual project, um, performance and productivity better, but we're not changing the business, uh, effectively enough. And that's the thing that appealed to me about the biz ops idea that we're finally creating a closer connection between what we do with technology and how it changes the business and provides value to it. >>Great. Uh, surge back to you, right? I mean, people have been talking about digital transformation for a long time and it's been, you know, kind of trucking along and then covert hit and it was instant lights, which everyone's working from home. You've got a lot more reliance on your digital tools, digital communication, uh, both within your customer base and your partner base, but also then your employees when you're, if you could share how that really pushed this all along. Right? Because now suddenly the acceleration of digital transformation is higher. Even more importantly, you got much more critical decisions to make into what you do next. So kind of your portfolio management of projects has been elevated significantly when maybe revenues are down, uh, and you really have to, uh, to prioritize and get it right. >>Yeah. Maybe I'll just start by quoting Satina Nello basically recently said that they're speeding the two years of digital preservation just last two months in any many ways. That's true. Um, but, but yet when we look at large enterprises, they're >>Still struggling with the kind of a changes in culture that they really need to drive to be able to disrupt themselves. And not surprisingly, you know, when we look at certain parts of the industry, you know, we see some things which are very disturbing, right? So about 40% of the personal loans today, or being, uh, origin data it's by fintechs, uh, of a like of Sophie or, uh, or a lending club, right? Not to a traditional brick and mortar for BEC. And so the, well, there is kind of a much more of an appetite and it's a, it's more of a survival type of driver these days. Uh, the reality is that's in order for these large enterprises to truly transform and engage with this digital transformation, they need to start to really align the business. And it, you know, in many ways, uh, make covered that agile really emerged from the core desire to truly improve software predictability between which we've really missed is all that we, we start to aligning the software predictability to business predictability and to be able to have continual sleep continuous improvement and measurement of business outcomes. So by aligning kind of these, uh, kind of inward metrics, that's, it is typically being using to business outcomes. We think we can start to really ELP different stakeholders within the organization to collaborate. So I think there is more than ever. There's an imperative to act now. Um, and, and resolves, I think is kind of the right approach to drive that transformation. Right. >>I want to follow up on the culture comment, uh, with Utah, because you've talked before about kind of process flow and process flow throughout a whore and an organization. And, you know, we talk about people process and tech all the time. And I think the tech is the easy part compared to actually changing the people the way they think. And then the actual processes that they put in place. It's a much more difficult issue than just the tech issue to get this digital transformation in your organization. >>Yeah. You know, I've always found that the soft stuff about, you know, the culture of the behavior, the values is the hard stuff to change and more and more, we, we realized that to be successful with any kind of digital transformation you have to change people's behaviors and attitudes. Um, we haven't made as much progress in that area as we might have. I mean, I've done some surveys suggesting that, um, most organizations still don't have data-driven cultures. And in many cases there is a lower percentage of companies that say they have that then, um, did a few years ago. So we're kind of moving in the wrong direction, which means I think that we have to start explicitly addressing that, um, cultural, behavioral dimension and not just assuming that it will happen if we, if we build a system, >>If we build it, they won't necessarily come. Right. >>Right. So I want to go to, to you Nick cause you know, we're talking about workflows and flow, um, and, and you've written about flow both in terms of, um, you know, moving things along a process and trying to find bottlenecks, identify bottlenecks, which is now even more important again, when these decisions are much more critical. Cause you have a lot less, uh, wiggle room in tough times, but you also talked about flow from the culture side and the people side. So I wonder if you can just share your thoughts on, you know, using flow as a way to think about things, to get the answers better. >>Yeah, absolutely. And I'll refer back to what Tom has said. If you're optimized, you need to optimize your system. You need to optimize how you innovate and how you deliver value to the business and the customer. Now, what we've noticed in the data, since that we've learned from customers, value streams, enterprise organizations, value streams, is that when it's taking six months at the end to deliver that value with the flow is that slow. You've got a bunch of unhappy developers, unhappy customers when you're innovating house. So high performing organizations we can measure at antenna flow time and dates. All of a sudden that feedback loop, the satisfaction, your developers measurably, it goes up. So not only do you have people context, switching glass, you're delivering so much more value to customers at a lower cost because you've optimized for flow rather than optimizing for these, these other approximate tricks that we use, which is how efficient is my adult team. How quickly can we deploy software? Those are important, but they do not provide the value of agility of fast learning of adaptability to the business. And that's exactly what the biz ops manifesto pushes your organization to do. You need to put in place this new operating model that's based on flow on the delivery of business value and on bringing value to market much more quickly than you were before. Right. >>I love that. And I'm gonna back to you Tom, on that to follow up. Cause I think, I don't think people think enough about how they prioritize what they're optimizing for, because you know, if you're optimizing for a versus B, you know, you can have a very different product that, that you kick out. And, you know, my favorite example is with Clayton Christianson and innovator's dilemma talking about the three inch hard drive, if you optimize it for power, you know, is one thing, if you optimize it for vibration is another thing and sure enough, you know, they missed it on the poem because it was the, it was the game console, which, which drove that whole business. So when you're talking to customers and we think we hear it with cloud all the time, people optimizing for a cost efficiency, instead of thinking about it as an innovation tool, how do you help them kind of rethink and really, you know, force them to, to look at the, at the prioritization and make sure they're prioritizing on the right thing is make just that, what are you optimizing for? >>Oh yeah. Um, you have one of the most important aspects of any decision or attempt to resolve a problem in an organization is the framing process. And, um, you know, it's, it's a difficult aspect to have the decision to confirm it correctly in the first place. Um, there, it's not a technology issue. In many cases, it's largely a human issue, but if you frame >>That decision or that problem incorrectly to narrowly say, or you frame it as an either or situation where you could actually have some of both, um, it, it's very difficult for the, um, process to work out correctly. So in many cases, I think we need to think more at the beginning about how we bring this issue or this decision in the best way possible before we charge off and build a system to support it. You know, um, it's worth that extra time to think, think carefully about how the decision has been structured. Right, >>Sir, I want to go back to you and talk about the human factors because as we just discussed, you can put it in great technology, but if the culture doesn't adopt it and people don't feel good about it, you know, it's not going to be successful and that's going to reflect poorly on the technology, even if that had nothing to do with it. And you know, when you look at the, the, the, the core values, uh, of the Bezos manifesto, you know, a big one is trust and collaboration, you know, learn, respond, and pivot. Wonder if you can share your thoughts on, on trying to get that cultural shift, uh, so that you can have success with the people, or excuse me, with the technology in the process and helping customers, you know, take this more trustworthy and kind of proactive, uh, position. >>So I think, I think at the ground level, it truly starts with the realization that we're all different. We come from different backgrounds. Uh, oftentimes we tend to blame the data. It's not uncommon my experiments that we spend the first 30 minutes of any kind of one hour conversation to debate the validity of the data. Um, and so, um, one of the first kind of, uh, probably manifestations that we've had or revelations as we start to engage with our customers is spoke just exposing, uh, high-fidelity data sets to different stakeholders from their different lens. We start to enable these different stakeholders to not debate the data. That's really collaborate to find a solution. So in many ways, when, when, when we think about kind of the types of changes we're trying to, to truly affect around data driven decision making, he told about bringing the data in context and the context that is relevant and understandable for, for different stakeholders, whether we're talking about an operator or develop for a business analyst. >>So that's, that's the first thing. The second layer I think, is really to provide context to what people are doing in their specific silo. And so I think one of the best examples I have is if you start to be able to align business KPI, whether you are counting, you know, sales per hour, or the engagements of your users on your mobile applications, whatever it is, you can start to connect that PKI to business KPI, to the KPIs that developers might be looking at, whether it is all the number of defects or velocity or whatever over your metrics that you're used to, to actually track you start to be able to actually contextualize in what we are, the effecting, basically a metric of that that is really relevant. And then what we see is that this is a much more systematic way to approach the transformation than say, you know, some organizations kind of creating some of these new products or services or initiatives, um, to, to drive engagements, right? >>So if you look at zoom, for instance, zoom giving away a it service to, uh, to education, he's all about, I mean, there's obviously a marketing aspect in there, but it's, it's fundamentally about trying to drive also the engagement of their own teams. And because now they're doing something for good and many organizations are trying to do that, but you only can do this kind of things in the limited way. And so you really want to start to rethink how you connect to, everybody's kind of a business objective fruit data, and now you start to get people to stare at the same data from their own lens and collaborate on all the data. Right, >>Right. That's a good, uh, Tom, I want to go back to you. You've been studying it for a long time, writing lots of books and getting into it. Um, why now, you know, what, why, why now are we finally aligning business objectives with, with it objectives? You know, why didn't this happen before? And, you know, what are the factors that are making now the time for this, this, this move with the, uh, with the biz ops? >>Well, and much of a past, it was sort of a back office related activity. And, you know, it was important for, um, uh, producing your paychecks and, uh, capturing the customer orders, but the business wasn't built around it now, every organization needs to be a software business, a data business, a digital business, the auntie has been raised considerably. And if you aren't making that connection between your business objectives and the technology that supports it, you run a pretty big risk of, you know, going out of business or losing out to competitors. Totally. So, um, and even if you're in, uh, an industry that hasn't historically been terribly, um, technology oriented customer expectations flow from, uh, you know, the digital native, um, companies that they work with to basically every industry. So you're compared against the best in the world. So we don't really have the luxury anymore of screwing up our it projects or building things that don't really work for the business. Um, it's mission critical that we do that well. Um, almost every time, I just want to fall by that, Tom, >>In terms of the, you've talked extensively about kind of these evolutions of data and analytics from artismal stage to the big data stage, the data economy stage, the AI driven stage and what I find diff interesting that all those stages, you always put a start date, you never put an end date. Um, so you know, is the, is the big data I'm just going to use that generically a moment in time finally here where we're, you know, off mahogany row with the data scientists, but actually can start to see the promise of delivering the right insight to the right person at the right time to make that decision. >>Well, I think it is true that in general, these previous stages never seemed to go away. The, um, the artisinal stuff is still being done, but we would like for less and less of it to be artisinal, we can't really afford for everything to be artisinal anymore. It's too labor and, and time consuming to do things that way. So we shift more and more of it to be done through automation and B to be done with a higher level of productivity. And, um, you know, at some point maybe we reached the stage where we don't do anything artisanally anymore. I'm not sure we're there yet, but we are, we are making progress. Right. >>Right. And Mick, back to you in terms of looking at agile, cause you're, you're such a student of agile. When, when you look at the opportunity with biz ops and taking the lessons from agile, you know, what's been the inhibitor to stop this in the past. And what are you so excited about? You know, taking this approach will enable. >>Yeah. I think both search and Tom hit on this is that in agile what's happened is that we've been measuring tiny subsets of the value stream, right? We need to elevate the data's there. Developers are working on these tools that delivering features that the foundations for for great culture are there. I spent two decades as a developer. And when I was really happy is when I was able to deliver value to customers, the quicker I was able to do that the fewer impediments are in my way, that quicker was deployed and running in the cloud, the happier I was, and that's exactly what's happening. If we can just get the right data, uh, elevated to the business, not just to the agile teams, but really this, these values of ours are to make sure that you've got these data driven decisions with meaningful data that's oriented around delivering value to customers. Not only these legacies that Tom touched on, which has cost center metrics. So when, from where for it being a cost center and something that provided email and then back office systems. So we need to rapidly shift to those new, meaningful metrics that are customized business centric and make sure that every development the organization is focused on those as well as the business itself, that we're measuring value. And that will help you that value flow without interruptions. >>I love that mic. Cause if you don't measure it, you can't improve on it and you gotta, but you gotta be measuring the right thing. So gentlemen, uh, thank you again for, for your time. Uh, congratulations on the, uh, on the unveil of the biz ops manifesto and bringing together this coalition, uh, of, of, uh, industry experts to get behind this. And, you know, there's probably never been a more important time than now to make sure that your prioritization is in the right spot and you're not wasting resources where you're not going to get the ROI. So, uh, congratulations again. And thank you for sharing your thoughts with us here on the cube. >>Thank you. >>Alright, so we had surge Tom and Mick I'm. Jeff, you're watching the cube. It's a biz ops manifesto unveil. Thanks for watching. We'll see you next time >>From around the globe. It's the cube with digital coverage of biz ops manifesto unveiled brought to you by biz ops coalition. >>Hey, welcome back. Variety. Jeff Frick here with the cube. We're in our Palo Alto studios, and we'd like to welcome you back to our continuing coverage of biz ops manifesto unveil some exciting day to really, uh, kind of bring this out into public. There's been a little bit of conversation, but today's really the official unveiling and we're excited to have our next guest is share a little bit more information on it. He's Patrick tickle. He's a chief product officer for planned view. Patrick. Great to see you. >>Yeah, it's great to be here. Thanks for the invite. So why >>The biz ops manifesto, why the biz ops coalition now when you guys have been at it, it's relatively mature marketplace businesses. Good. What was missing? Why, why this, why this coalition? >>Yeah. So, you know, again, why is, why is biz ops important and why is this something that I'm, you know, I'm so excited about, but I think companies as well, right? Well, no, in some ways or another, this is a topic that I've been talking to the market and our customers about for a long time. And it's, you know, I really applaud this whole movement. Right. And, um, it resonates with me because I think one of the fundamental flaws, frankly, of the way we have talked about technology and business literally for decades, uh, has been this idea of, uh, alignment. Those who know me, I occasionally get off on this little rant about the word alignment, right. But to me, the word alignment is, is actually indicative of the, of the, of the flaw in a lot of our organizations and biz ops is really, I think now trying to catalyze and expose that flaw. >>Right. Because, you know, I always say that, you know, you know, alignment implies silos, right. Instantaneously, as soon as you say there's alignment, there's, there's obviously somebody who's got a direction and other people that have to line up and that kind of siloed, uh, nature of organizations then frankly, the passive nature of it. Right. I think so many technology organizations are like, look, the business has the strategy you guys need to align. Right. And, and, you know, as a product leader, right. That's where I've been my whole career. Right. I can tell you that I never sit around. I almost never use the word alignment. Right. I mean, whether, you know, I never sit down and say, you know, the product management team has to get aligned with dev, right. Or the dev team has to get aligned with the delivery and ops teams. I mean, what I say is, you know, are we on strategy, right? >>Like we've, we have a strategy as a, as a full end to end value stream. Right. And that there's no silos. And I mean, look, every on any given day we got to get better. Right. But the context, the context we operate is not about alignment. Right. It's about being on strategy. And I think I've talked to customers a lot about that, but when I first read the manifesto, I was like, Oh yeah, this is exactly. This is breaking down. Maybe trying to eliminate the word alignment, you know, from a lot of our organizations, because we literally start thinking about one strategy and how we go from strategy to delivery and have it be our strategy, not someone else's that we're all aligning to. And I, and it's a great way to catalyze that conversation that I've, it's been in my mind for years, to be honest. Right. >>So, so much to unpack there. One of the things obviously, uh, stealing a lot from, from dev ops and the dev ops manifesto from 20 years ago. And, and as I look through some of the principles and I looked through some of the values, which are, you know, really nicely laid out here, you know, satisfy customer, do continuous delivery, uh, measure, output against real results. Um, the ones that, that jumps out though is really about, you know, change, change, right? Requirements should change frequently. They do change frequently, but I'm curious to get your take from a, from a software development point, it's easy to kind of understand, right. We're making this widget and our competitors, beta widget plus X, and now we need to change our plans and make sure that the plus X gets added to the plan. Maybe it wasn't in the plan, but you talked a lot about product strategy. So in this kind of continuous delivery world, how does that meld with, I'm actually trying to set a strategy, which implies the direction for a little bit further out on the horizon and to stay on that while at the same time, you're kind of doing this real time continual adjustments because you're not working off a giant PRD or MRD anymore. >>Yeah, yeah, totally. Yeah. You know, one of the terms, you know, that we use internally a lot and even with my customers, our customers is we talk about this idea of rewiring, right. And I think, you know, it's kind of a, now an analogy for transformation. And I think a lot of us have to rewire the way we think about things. Right. And I think at Planview where we have a lot of customers who live in that, you know, who operationalize that traditional PPM world. Right. And are shifting to agile and transforming that rewire is super important. And, and to your point, right, it's, you've just, you've got to embrace this idea of, you know, just iterative getting better every day and iterating, iterating, iterating as opposed to building annual plans or, you know, I get customers occasionally who asked me for two or three year roadmap. >>Right. And I literally looked at them and I go, there's no, there's no scenario where I can build a two or three year roadmap. Right. You, you, you think you want that, but that's not, that's not the way we run. Right. And I will tell you the biggest thing that for us, you know, that I think is matched the planning, uh, you know, patents is a word I like to use a lot. So the thing that we've like, uh, that we've done from a planning perspective, I think is matched impedance to continuous delivery is instituting the whole program, implement, you know, the program, increment planning, capabilities, and methodologies, um, in the scaled agile world. Right. And over the last 18 months to two years, we really have now, you know, instrumented our company across three value streams. You know, we do quarterly PI program increment 10 week planning, you know, and that becomes, that becomes the Terra firma of how we plan. >>Right. And it's, what are we doing for the next 10 weeks? And we iterate within those 10 weeks, but we also know that 10 weeks from now, we're gonna, we're gonna adjust iterate again. Right. And that shifting of that planning model to, you know, to being as cross-functional is that as that big room planning kind of model is, um, and also, uh, you know, on that shorter increment, when you get those two things in place, also the impedance really starts to match up, uh, with continuous delivery and it changes, it changes the way you plan and it changes the way you work. Right? >>Yeah. Their thing. Right. So obviously a lot of these things are kind of process driven, both within the values, as well as the principles, but there's a whole lot, really about culture. And I just want to highlight a couple of the values, right? We already talked about business outcomes, um, trust and collaboration, uh, data driven decisions, and then learn, respond and pivot. Right. A lot of those are cultural as much as they are process. So again, is it the, is it the need to really kind of just put them down on paper and, you know, I can't help, but think of, you know, the hammer and up the, a, the thing in the Lutheran church with it, with their manifesto, is it just good to get it down on paper? Because when you read these things, you're like, well, of course we should trust people. And of course we need an environment of collaboration and of course we want data driven decisions, but as we all know saying it and living, it are two very, very different things. >>Yeah. Good question. I mean, I think there's a lot of ways to bring that to life you're right. And just hanging up, you know, I think we've all been through the hanging up posters around your office, which these days, right. Unless you're going to hang a poster in everybody's home office. Right. You can't even, you can't even fake it that you think that might work. Right. So, um, you know, you really, I think we've attacked that in a variety of ways. Right. And you definitely have to, you know, you've got to make the shift to a team centric culture, right. Empowered teams, you know, that's a big deal. Right. You know, a lot of, a lot of the people that, you know, we lived in a world of quote, unquote work. We lived in a deep resource management world for a long, long time, and right. >>A lot of our customers still do that, but, you know, kind of moving to that team centric world is, uh, is really important and core to the trust. Um, I think training is super important, right. I mean, we've, you know, we've internally, right. We've trained hundreds employees over the last a year and a half on the fundamentals really of safe. Right. Not necessarily, you know, we've had, we've had teams delivering in scrum and the continuous delivery for, you know, for years, but the scaling aspect of it, uh, is where we've done a lot of training investment. Um, and then, you know, I think a leadership has to be bought in. Right. You know? And so when we pie plan, you know, myself and Cameron and the other members of our leadership, you know, we're NPI planning, you know, for, for four days. Right. I mean, it's, it's, you've got to walk the walk, you know, from top to bottom and you've got to train on the context. Right. And then you, and then, and, and then once you get through a few cycles where you've done a pivot, right. Or you brought a new team in, and it just works, it becomes kind of this virtuous circle where he'll go, man, this really works so much better than what we used to do. Right. >>Right. The other really key principle to this whole thing is, is aligning, you know, the business leaders and the business prioritization, um, so that you can get to good outcomes with the development and the delivery. Right. And we know again, and kind of classic dev ops to get the dev and the production people together. So they can, you know, quickly ship code that works. Um, but adding the business person on there really puts, puts a little extra responsibility that they, they understand the value of a particular feature or particular priority. Uh, they, they can make the, the, the trade offs and that they kind of understand the effort involved too. So, you know, bringing them into this continuous again, kind of this continuous development process, um, to make sure that things are better aligned and really better prioritize. Cause ultimately, you know, we don't live in an infinite resources situation and people gotta make trade offs. They gotta make decisions as to what goes and what doesn't go in for everything that goes. Right. I always say you pick one thing. Okay. That's 99 other things that couldn't go. So it's really important to have, you know, this, you said alignment of the business priorities as well as, you know, the execution within, within the development. >>Yeah. I think that, you know, uh, you know, I think it was probably close to two years ago. Forester started talking about the age of the customer, right. That, that was like their big theme at the time. Right. And I think to me what that, the age of the customer actually translates to and Mick, Mick and I are both big fans of this whole idea of the project, the product shift, mixed book, you know, it was a great piece on a, you're talking to Mick, you know, as part of the manifesto is one of the authors as well, but this shift from project to product, right? Like the age of the customer, in my opinion, the, the, the embodiment of that is the shift to a product mentality. Right. And, and the product mentality in my opinion, is what brings the business and technology teams together, right? >>Once you, once you're focused on a customer experience, that's delivered through a product or a service that's when I that's, when I started to go with the alignment problem goes away, right. Because if you look at software companies, right, I mean, we run product management models, you know, with software development teams, customer success teams, right. That, you know, the software component of these products that people are building is obviously becoming bigger and bigger, you know, in an, in many ways, right. More and more organizations are trying to model themselves over as operationally like software companies. Right. Um, they obviously have lots of other components in their business than just software, but I think that whole model of customer experience equaling product, and then the software component of product, the product is the essence of what changes that alignment equation and brings business and teams together because all of a sudden, everyone knows what the customer's experiencing. Right. And, and that, that, that makes a lot of things very clear, very quickly. >>Right. I'm just curious how far along this was as a process before, before covert hit, right. Because serendipitous, whatever. Right. But th the sudden, you know, light switch moment, everybody had to go work from home and in March 15th compared to now, we're in October, and this is going to be going on for a while, and it is a new normal and whatever that whatever's going to look like a year from now, or two years from now is TBD, you know, had you guys already started on this journey cause again, to sit down and actually declare this coalition and declare this manifesto is a lot different than just trying to do better within your own organization. >>Yeah. So we had started, uh, you know, w we definitely had started independently, you know, some, some, you know, I think people in the community know that, uh, we, we came together with a company called lean kit a handful of years ago, and I give John Terry actually one of the founders leaned to immense credit for, you know, kind of spearheading our cultural change and not, and not because of, we were just going to be, you know, bringing agile solutions to our customers, but because, you know, he believed that it was going to be a fundamentally better way for us to work. Right. And we kind of, you know, when we started with John and built, you know, out of concentric circles of momentum and, and we've gotten to the place where now it's just part of who we are, but, but I do think that, you know, COVID has, you know, um, I think pre COVID a lot of companies, you know, would, would adopt, you know, the, you would adopt digital slash agile transformation. >>Um, traditional industries may have done it as a reaction to disruption. Right. You know, and in many cases, the disruption to these traditional industries was, I would say a product oriented company, right. That probably had a larger software component, and that disruption caused a competitive issue or a customer issue that caused companies and tried to respond by transforming. I think COVID, you know, all of a sudden flatten that out, right. We literally all got disrupted. Right. And, and so all of a sudden, every one of us is dealing with some degree of market uncertainty, customer uncertainty, uh, and also know none of us were insulated from the need to be able to pivot faster, deliver incrementally, you know, and operate in a different, completely more agile way, uh, you know, post COVID. Right. Yeah. That's great. >>So again, a very, very, very timely, you know, a little bit of serendipity, a little bit of, of planning. And, you know, as, as with all important things, there's always a little bit of luck and a lot of hard work involved. So a really interesting thank you for, for your leadership, Patrick. And, you know, it really makes a statement. I think when you have a bunch of leaderships across an industry coming together and putting their name on a piece of paper, uh, that's aligned around us some principles and some values, which again, if you read them who wouldn't want to get behind these, but if it takes, you know, something a little bit more formal, uh, to kind of move the ball down the field, and then I totally get it and a really great work. Thanks for, uh, thanks for doing it. >>Oh, absolutely. No. Like I said, the first time I read it, I was like, yeah, like you said, this is all, this all makes complete sense, but just documenting it and saying it and talking about it moves the needle. I'll tell you as a company, you gotta, we're pushing really hard on, uh, you know, on our own internal strategy on diversity inclusion. Right? And, and like, once we wrote the words down about what, you know, what we aspire to be from a diversity and inclusion perspective, it's the same thing. Everybody reads the words and goes, why wouldn't we do this? Right. But until you write it down and kind of have again, a manifesto or a Terrafirma of what you're trying to accomplish, you know, then you can rally behind it. Right. As opposed to it being something that's, everybody's got their own version of the flavor. Right. And I think it's a very analogous, you know, kind of, uh, initiative, right. And, uh, and this happening, both of those things, right. Are happening across the industry these days. Right. >>And measure it too. Right. And measure it, measure, measure, measure, get a baseline. Even if you don't like to measure, even if you don't like what the, even if you can argue against the math, behind the measurement, measure it, and at least you can measure it again and you can, and you've got some type of a comp and that is really the only way to, to move it forward. Well, Patrick really enjoyed the conversation. Thanks for, uh, for taking a few minutes out of your day. >>It's great to be here. It's an awesome movement and we're glad >>That'd be part of it. All right. Thanks. And if you want to check out the biz ops, Manifesta go to biz ops, manifesto.org, read it. You might want to sign it. It's there for you. And thanks for tuning in on this segment will continuing coverage of the biz op manifesto unveil here on the cube. I'm Jeff, thanks for watching >>From around the globe. It's the cube with digital coverage of biz ops manifesto unveiled brought to you by biz ops coalition. >>Hey, welcome back, everybody Jeffrey here with the cube. We're coming to you from our Palo Alto studios. And welcome back to this event is the biz ops manifesto unveiling. So the biz ops manifesto and the biz ops coalition had been around for a little while, but today's the big day. That's kind of the big public unveiling or excited to have some of the foundational people that, you know, have put their, put their name on the dotted, if you will, to support this initiative and talk about why that initiative is so important. And so the next guest we're excited to have is dr. Mick Kirsten. He is the founder and CEO of Tasktop mic. Great to see you coming in from Vancouver, Canada, I think, right? Yes. Thank you. Absolutely. I hope your air is a little better out there. I know you had some of the worst air of all of us, a couple, a couple of weeks back. So hopefully things are, uh, are getting a little better and we get those fires under control. Yeah. >>Things have cleared up now. So yeah, it's good. It's good to be close to the U S and it's going to have the Arabic cleaner as well. >>Absolutely. So let's, let's jump into it. So you you've been an innovation guy forever starting way back in the day and Xerox park. I was so excited to do an event at Xerox park for the first time last year. I mean, that, that to me represents along with bell labs and, and some other, you know, kind of foundational innovation and technology centers, that's gotta be one of the greatest ones. So I just wonder if you could share some perspective of getting your start there at Xerox park, you know, some of the lessons you learned and what you've been able to kind of carry forward from those days. >>Yeah. I was fortunate to join Xerox park in the computer science lab there at a very early point in my career, and to be working on open source programming languages. So back then in the computer science lab, where some of the inventions around programming around software development teams, such as object oriented programming, and a lot of what we had around really modern programming levels constructs, those were the teams I have the fortune of working with, and really our goal was. And of course there's as, as you know, uh, there's just this DNA of innovation and excitement and innovation in the water. And really it was the model back then was all about changing the way that we work, uh, was looking at for how we could make it 10 times easier to write code. But this is back in 99. And we were looking at new ways of expressing, especially business concerns, especially ways of enabling people who are, who want to innovate for their business to express those concerns in code and make that 10 times easier than what that would take. >>So we create a new open source programming language, and we saw some benefits, but not quite quite what we expected. I then went and actually joined Charles Stephanie, that former to fucking Microsoft who was responsible for, he actually got Microsoft word as a spark and into Microsoft and into the hands of bill Gates on that company. I was behind the whole office suite and his vision. And then when I was trying to execute with, working for him was to make PowerPoint like a programming language, make everything completely visual. And I realized none of this was really working in that there was something else, fundamentally wrong programming languages, or new ways of building software. Like let's try and do with Charles around intentional programming. That was not enough. >>That was not enough. So, you know, the agile movement got started about 20 years ago, and we've seen the rise of dev ops and really this kind of embracing of, of, of sprints and, you know, getting away from MRDs and PRDs and these massive definitions of what we're going to build and long build cycles to this iterative process. And this has been going on for a little while. So what was still wrong? What was still missing? Why the BizOps coalition, why the biz ops manifesto? >>Yeah, so I basically think we nailed some of the things that the program language levels of teams can have effective languages deployed soften to the cloud easily now, right? And at the kind of process and collaboration and planning level agile two decades, decades ago was formed. We were adopting and all the, all the teams I was involved with and it's really become a self problem. So agile tools, agile teams, agile ways of planning, uh, are now very mature. And the whole challenge is when organizations try to scale that. And so what I realized is that the way that agile was scaling across teams and really scaling from the technology part of organization to the business was just completely flawed. The agile teams had one set of doing things, one set of metrics, one set of tools. And the way that the business was working was planning was investing in technology was just completely disconnected and using a whole different set of advisors. >>Interesting. Cause I think it's pretty clear from the software development teams in terms of what they're trying to deliver. Cause they've got a feature set, right. And they've got bugs and it's easy to, it's easy to see what they deliver, but it sounds like what you're really honing in on is this disconnect on the business side, in terms of, you know, is it the right investment? You know, are we getting the right business ROI on this investment? Was that the right feature? Should we be building another feature or should we building a completely different product set? So it sounds like it's really a core piece of this is to get the right measurement tools, the right measurement data sets so that you can make the right decisions in terms of what you're investing, you know, limited resources. You can't, no one has unlimited resources and ultimately have to decide what to do, which means you're also deciding what not to do. And it sounds like that's a really big piece of this, of this whole effort. >>Yeah. Jeff, that's exactly it, which is the way that the agile team measures their own way of working is very different from the way that you measure business outcomes. The business outcomes are in terms of how happy your customers are, but are you innovating fast enough to keep up with the pace of a rapidly changing economy, rapidly changing market. And those are, those are all around the customer. And so what I learned on this long journey of supporting many organizations transformations and having them try to apply those principles of agile and dev ops, that those are not enough, those measures technical practices, those measured sort of technical excellence of bringing code to the market. They don't actually measure business outcomes. And so I realized that it really was much more around having these entwined flow metrics that are customer centric and business centric and market centric where we need it to go. Right. >>So I want to shift gears a little bit and talk about your book because you're also a bestselling author, a project, a product, and, and, and you, you brought up this concept in your book called the flow framework. And it's really interesting to me cause I know, you know, flow on one hand is kind of a workflow and a process flow and, and you know, that's how things get done and, and, and embrace the flow. On the other hand, you know, everyone now in, in a little higher level existential way is trying to get into the flow right into the workflow and, you know, not be interrupted and get into a state where you're kind of at your highest productivity, you know, kind of your highest comfort, which flow are you talking about in your book or is it a little bit about, >>Well, that's a great question. It's not what I get asked very often. Just to me, it's absolutely both. So that the thing that we want to get to, we've learned how to master individual flow. That is this beautiful book by me, how he teaches me how he does a beautiful Ted talk by him as well about how we can take control of our own flow. So my question with the book with project replies, how can we bring that to entire teams and really entire organizations? How can we have everyone contributing to a customer outcome? And this is really what if you go to the biz ops manifesto, it says, I focus on outcomes on using data to drive whether we're delivering those outcomes rather than a focus on proxy metrics, such as, how quickly did we implement this feature? No, it's really how much value did the customer go to the feature and how quickly did you learn and how quickly did you use that data to drive to that next outcome? >>Really that with companies like Netflix and Amazon have mastered, how do we get that to every large organization, every it organization and make everyone be a software innovator. So it's to bring that co that concept of flow to these entwined value streams. And the fascinating thing is we've actually seen the data. We've been able to study a lot of value streams. We see when flow increases, when organizations deliver value to a customer faster, developers actually become more happy. So things like the employee net promoter scores rise, and we've got empirical data for this. So the beautiful thing to me is that we've actually been able to combine these two things and see the results in the data that you increase flow to the customer. Your developers are more happy. >>I love it, right, because we're all more, we're all happier when we're in the flow and we're all more productive when we're in the flow. So I, that is a great melding of, of two concepts, but let's jump into the, into the manifesto itself a little bit. And, you know, I love that, you know, took this approach really of having kind of four key values and then he gets 12 key principles. And I just want to read a couple of these values because when you read them, it sounds pretty brain dead. Right? Of course. Right. Of course you should focus on business outcomes. Of course you should have trust and collaboration. Of course you should have database decision making processes and not just intuition or, you know, whoever's the loudest person in the room, uh, and to learn and respond and pivot. But what's the value of actually just putting them on a piece of paper, because again, this is not this, these are all good, positive things, right? When somebody reads these to you or tells you these are sticks it on the wall, of course. But unfortunately of course isn't always enough. >>No. And I think what's happened is some of these core principles originally from the agile manifesto two decades ago, uh, the whole dev ops movement of the last decade of flow feedback and continue learning has been key. But a lot of organizations, especially the ones that are undergoing digital transformations have actually gone a very different way, right? The way that they measure value in technology and innovation is through costs for many organizations. The way that they actually are looking at that they're moving to cloud is actually as a reduction in cost. Whereas the right way of looking at moving to cloud is how much more quickly can we get to the value to the customer? How quickly can we learn from that? And how quickly can we drive the next business outcome? So really the key thing is, is to move away from those old ways of doing things, a funny projects and cost centers, uh, to actually funding and investing in outcomes and measuring outcomes through these flow metrics, which in the end are your fast feedback and how quickly you're innovating for your customer. >>So these things do seem, you know, very obvious when you look at them. But the key thing is what you need to stop doing to focus on these. You need to actually have accurate realtime data of how much value your phone to the customer every week, every month, every quarter. And if you don't have that, your decisions are not driven on data. If you don't know what your boggling like is, and this is something that in decades of manufacturing, a car manufacturers, other manufacturers, master, they always know where the bottom back in their production processes. You ask a random CIO when a global 500 company where their bottleneck is, and you won't get a clear answer because there's not that level of understanding. So let's, you actually follow these principles. You need to know exactly where you fall. And I guess because that's, what's making your developers miserable and frustrated around having them context, which on thrash. So it, the approach here is important and we have to stop doing these other things, >>Right? There's so much there to unpack. I love it. You know, especially the cloud conversation, because so many people look at it wrong as, as, as a cost saving device, as opposed to an innovation driver and they get stuck, they get stuck in the literal and the, and you know, I think at the same thing, always about Moore's law, right? You know, there's a lot of interesting real tech around Moore's law and the increasing power of microprocessors, but the real power, I think in Moore's laws is the attitudinal change in terms of working in a world where you know that you've got all this power and what you build and design. I think it's funny to your, your comment on the flow and the bottleneck, right? Cause, cause we know manufacturing, as soon as you fix one bottleneck, you move to your next one, right? You always move to your next point of failure. So if you're not fixing those things, you know, you're not, you're not increasing that speed down the line, unless you can identify where that bottleneck is or no matter how many improvements you make to the rest of the process, it's still going to get hung up on that one spot. >>That's exactly it. And you also make it sound so simple, but again, if you don't have the data driven visibility of where that bottom line is, and these bottlenecks are adjusted to say defense just whack them. All right. So we need to understand is the bottleneck because our security reviews are taking too long and stopping us from getting value for the customer. If it's that automate that process. And then you move on to the next bottleneck, which might actually be that deploying yourself into the cloud. It's taking too long. But if you don't take that approach of going flow first, rather than again, that sort of cost reduction. First, you have to think of the approach of customer centricity and you only focused on optimizing costs. Your costs will increase and your flow will slow down. And this is just one of these fascinating things. >>Whereas if you focus on getting closer to the customer and reducing your cycles out on getting value, your flow time from six months to two weeks or two, one week or two event, as we see with the tech giants, you actually can both lower your costs and get much more value for us to get that learning loop going. So I think I've, I've seen all these cloud deployments and one of the things happened that delivered almost no value because there was such big bottlenecks upfront in the process and actually the hosting and the AP testing was not even possible with all of those inefficiencies. So that's why going float us rather than costs when we started our project versus silky. >>I love that. And, and, and, and it, it begs repeating to that right within the subscription economy, you know, you're on the hook to deliver value every single month because they're paying you every single month. So if you're not on top of how you're delivering value, you're going to get sideways because it's not like they pay a big down payment and a small maintenance fee every month. But once you're in a subscription relationship, you know, you have to constantly be delivering value and upgrading that value because you're constantly taking money from the customer. So it's such a different kind of relationship than kind of the classic, you know, big bang with a maintenance agreement on the back end really important. Yeah. >>And I think in terms of industry shifts that that's, it that's, what's catalyzed. This industry shift is in this SAS and subscription economy. If you're not delivering more and more value to your customers, someone else's, and they're winning the business, not you. So, one way we know is to delight our customers with great user experience as well. That really is based on how many features you delivered or how much, how much, how many quality improvements or scalar performance improvements we delivered. So the problem is, and this is what the business manifesto, as well as the flow frame of touch on is if you can't measure how much value you deliver to a customer, what are you measuring? You just backed again, measuring costs, and that's not a measure of value. So we have to shift quickly away from measuring costs to measuring value, to survive. And in the subscription economy, >>We could go for days and days and days. I want to shift gears a little bit into data and, and a data driven decision making a data driven organization cause right day has been talked about for a long time, the huge big data meme with, with Hadoop over, over several years and, and data warehouses and data lakes and data oceans and data swamps. And you can go on and on and on. It's not that easy to do, right? And at the same time, the proliferation of data is growing exponentially. We're just around the corner from, from IOT and five G. So now the accumulation of data at machine scale, again, is this gonna overwhelm? And one of the really interesting principles, uh, that I wanted to call out and get your take right, is today's organizations generate more data than humans can process. So informed decisions must be augmented by machine learning and artificial intelligence. I wonder if you can, again, you've got some great historical perspective, um, reflect on how hard it is to get the right data, to get the data in the right context, and then to deliver it to the decision makers and then trust the decision makers to actually make the data and move that down. You know, it's kind of this democratization process into more and more people and more and more frontline jobs making more and more of these little decisions every day. >>Yeah. I definitely think the front parts of what you said are where the promises of big data have completely fallen on their face into the swamps as, as you mentioned, because if you don't have the data in the right format, you've cannot connect, collected that the right way you want it, that way, the right way you can't use human or machine learning on it effectively. And there've been the number of data where, how has this in a typical enterprise organization and the sheer investment is tremendous, but the amount of intelligence being extracted from those is, is, is a very big problem. So the key thing that I've noticed is that if you can model your value streams, so you actually understand how you're innovating, how you're measuring the delivery of value and how long that takes, what is your time to value through these metrics like full time? >>You can actually use both the intelligence that you've got around the table and push that down as well, as far as getting to the organization, but you can actually start using that those models to understand and find patterns and detect bottlenecks that might be surprising, right? Well, you can detect interesting bottlenecks when you shift to work from home. We detected all sorts of interesting bottlenecks in our own organization that were not intuitive to me that have to do with, you know, more senior people being overloaded and creating bottlenecks where they didn't exist. Whereas we thought we were actually an organization that was very good at working from home because of our open source roots. So the data is highly complex. Software value streams are extremely complicated. And the only way to really get the proper analysts and data is to model it properly and then to leverage these machine learning and AI techniques that we have. But that front part of what you said is where organizations are just extremely immature in what I've seen, where they've got data from all their tools, but not modeled in the right way. Right, right. >>Right. Well, all right. So before I let you go, you know, let's say you get a business leader. He, he buys in, he reads the manifesto, he signs on the dotted line and he says, Mick, how do I get started? I want to be more aligned with the, with the development teams. I know I'm in a very competitive space. We need to be putting out new software features and engage with our customers. I want to be more data-driven how do I get started? Well, you know, what's the biggest inhibitor for most people to get started and get some early wins, which we know is always the key to success in any kind of a new initiative. >>Right? So I think you can reach out to us through the website, uh, for the manifesto. But the key thing is just, it's definitely set up it's to get started and to get the key wins. So take a product value stream. That's mission critical if it'd be on your mobile and web experiences or part of your cloud modernization platform where your analytics pipeline, but take that and actually apply these principles to it and measure the end to end flow of value. Make sure you have a value metric that everyone is on the same page on, but the people on the development teams that people in leadership all the way up to the CEO, and one of the, where I encourage you to start is actually that end to end flow time, right? That is the number one metric. That is how you measure it, whether you're getting the benefit of your cloud modernization, that is the one metric that when the people I respect tremendously put into his cloud for CEOs, the metric, the one, the one way to measure innovation. So basically take these principles, deploy them on one product value stream measure, Antonin flow time, uh, and then you'll actually be well on your path to transforming and to applying the concepts of agile and dev ops all the way to, to the, to the way >>You're offering model. >>Well, Mick really great tips, really fun to catch up. I look forward to a time when we can actually sit across the table and, and get into this. Cause I just, I just love the perspective and, you know, you're very fortunate to have that foundational, that foundational base coming from Xerox park and they get, you know, it's, it's a very magical place with a magical history. So to, to incorporate that into, continue to spread that well, uh, you know, good for you through the book and through your company. So thanks for sharing your insight with us today. >>Thanks so much for having me, Jeff. Absolutely. >>All right. And go to the biz ops manifesto.org, read it, check it out. If you want to sign it, sign it. They'd love to have you do it. Stay with us for continuing coverage of the unveiling of the business manifesto on the cube. I'm Jeff. Rick. Thanks for watching. See you next time >>From around the globe. It's the cube with digital coverage, a biz ops manifesto unveiled brought to you by biz ops coalition. >>Hey, welcome back. You're ready. Jeff Frick here with the cube for our ongoing coverage of the big unveil. It's the biz ops manifesto manifesto unveil. And we're going to start that again from the top three And a Festo >>Five, four, three, two. >>Hey, welcome back everybody. Jeff Frick here with the cube come to you from our Palo Alto studios today for a big, big reveal. We're excited to be here. It's the biz ops manifesto unveiling a thing's been in the works for a while and we're excited to have our next guest. One of the, really the powers behind this whole effort. And he's joining us from Boston it's surge, Lucio, the vice president, and general manager enterprise software division at Broadcom surge. Great to see you. >>Hi, good to see you, Jeff. Glad to be here. >>Absolutely. So you've been in this business for a very long time. You've seen a lot of changes in technology. What is the biz ops manifesto? What is this coalition all about? Why do we need this today and in 2020? >>Yeah. So, so I've been in this business for close to 25 years, right? So about 20 years ago, the agile manifesto was created. And the goal of the agile manifesto was really to address the uncertainty around software development and the inability to predict the efforts to build software. And, uh, if you, if you roll that kind of 20 years later, and if you look at the current state of the industry of the product, the project management Institute, estimates that we're wasting about a million dollars, every 20 seconds in digital transformation initiatives that do not deliver on business results. In fact, we were recently served a third of the, a, a number of executives in partnership with Harvard >>Business review and 77% of those executives think that one of the key challenges that they have is really the collaboration between business and it, and that that's been kind of a case for, uh, almost 20 years now. Um, so the, the, the key challenge that we're faced with is really that we need a new approach. And many of the players in the industry, including ourselves have been using different terms, right? Some are being, are talking about value stream management. Some are talking about software delivery management. If you look at the site, reliability engineering movement, in many ways, it embodies a lot of these kind of concepts and principles. So we believed that it became really imperative for us to crystallize around, could have one concept. And so in many ways, the, a, the BizOps concept and the BizOps manifesto are bringing together a number of ideas, which has been emerging in the last five years or so, and, and defining the key values and principles to finally help these organizations truly transform and become digital businesses. And so the hope is that by joining our forces and defining public key principles and values, we can help the industry, uh, not just, uh, by, you know, providing them with support, but also tools and consulting that is required for them to truly achieve the kind of transformation that everybody's taking. >>Right. Right. So COVID now we're six months into it, approximately seven months into it. Um, a lot of pain, a lot of bad stuff still happening. We've got a ways to go, but one of the things that on the positive side, right, and you've seen all the memes and social media is, is a driver of digital transformation and a driver of change. Cause we had this light switch moment in the middle of March, and there was no more planning. There was no more conversation. You've suddenly got remote workforces, everybody's working from home and you got to go, right. So the reliance on these tools increases dramatically, but I'm curious, you know, kind of short of, of the beginnings of this effort in short of kind of COVID, which, you know, came along unexpectedly. I mean, what were those inhibitors because we've been making software for a very long time, right? The software development community has, has adopted kind of rapid change and, and iterative, uh, delivery and, and sprints, what was holding back the connection with the business side to make sure that those investments were properly aligned with outcomes. >>Well, so, so you have to understand that it is, is kind of a its own silos. And traditionally it has been treated as a cost center within large organizations and not as a value center. And so as a result, kind of a, the traditional dynamic between it and the business is basically one of a kind of supplier up to kind of a business. Um, and you know, if you go back to, uh, I think you'll unmask a few years ago, um, basically at this concept of the machines to build the machines and you went as far as saying that, uh, the, the machines or the production line is actually the product. So, uh, meaning that the core of the innovation is really about, uh, building, could it be engine to deliver on the value? And so in many ways, you know, we, we have missed on this shift from, um, kind of it becoming this kind of value center within the enterprises and end. >>He talks about culture. Now, culture is a, is a sum total of behaviors. And the reality is that if you look at it, especially in the last decade, uh, we've agile with dev ops with, um, I bring infrastructures, uh, it's, it's way more volatile today than it was 10 years ago. And so the, when you start to look at the velocity of the data, the volume of data, the variety of data to analyze the system, um, it's, it's very challenging for it to actually even understand and optimize its own processes, let alone, um, to actually include business as sort of an integral part of kind of a delivery chain. And so it's both kind of a combination of, of culture, um, which is required, uh, as well as tools, right? To be able to start to bring together all these data together, and then given the volume of variety of philosophy of the data. Uh, we have to apply some core technologies, which have only really, truly emerged in the last five to 10 years around machine learning and analytics. And so it's really kind of a combination of those freaks, which are coming together today, truly out organizations kind of get to the next level. Right, >>Right. So let's talk about the manifesto. Let's talk about, uh, the coalition, uh, the BizOps coalition. I just liked that you put down these really simple, you know, kind of straightforward core values. You guys have four core values that you're highlighting, you know, business outcomes, over individual projects and outputs, trust, and collaboration, oversight, load teams, and organizations, data driven decisions, what you just talked about, uh, you know, over opinions and judgment and learned, respond and pivot. I mean, surgery sounds like pretty basic stuff, right? I mean, aren't, isn't everyone working to these values already. And I think he touched on it on culture, right? Trust and collaboration, data driven decisions. I mean, these are fundamental ways that people must run their business today, or the person that's across the street, that's doing it. It's going to knock them out right off their block. >>Yeah. So that's very true. But, uh, so I'll, I'll mention an hour survey. We did, uh, I think about six months ago and it was in partnership with, uh, with, uh, an industry analyst and we serve at a, again, a number of it executives to understand only we're tracking business outcomes. I'm going to get the software executives, it executives we're tracking business outcomes. And the, there were less than 15% of these executives were actually tracking the outcomes of the software delivery. And you see that every day. Right? So in my own teams, for instance, we've been adopting a lot of these core principles in the last year or so, and we've uncovered that 16% of our resources were basically aligned around initiatives, which are not strategic for us. Um, I take another example, for instance, one of our customers in the, uh, in the airline industry and Harvard, for instance, that a number of, uh, um, that they had software issues that led to people searching for flights and not returning any kind of availability. >>And yet, um, you know, the it teams, whether it's operation software environments were completely oblivious to that because they were completely blindsided to it. And so the connectivity between kind of the inwards metrics that RT is using, whether it's database time, cycle time, or whatever metric we use in it are typically completely divorced from the business metrics. And so at its core, it's really about starting to align the business metrics with the, the, the software delivery chain, right? This, uh, the system, which is really a core differentiator for these organizations. It's about connecting those two things and starting to, um, infuse some of the agile culture and principles. Um, that's emerged from the software side into the business side. Um, of course the lean movement and other movements have started to change some of these dynamics on the business side. And so I think this, this is the moment where we are starting to see kind of the imperative to transform. Now, you know, Covina obviously has been a key driver for that. The, um, the technology is right to start to be able to weave data together and really kind of, uh, also the cultural shifts, uh, Prue agile through dev ops through, uh, the SRE movement, uh frulein um, business transformation, all these things are coming together and that are really creating kind of the conditions for the BizOps manifestor to exist, >>Uh, Clayton Christianson, great, uh, Harvard professor innovator's dilemma might steal my all time. Favorite business books, you know, talks about how difficult it is for incumbents to react to, to disruptive change, right? Because they're always working on incremental change cause that's what their customers are asking for. And there's a good ROI when you talk about, you know, companies not measuring the right thing. I mean, clearly it has some portion of their budget that has to go to keeping the lights on, right. That that's always the case, but hopefully that's an ever decreasing percentage of their total activity. So, you know, what should people be measuring? I mean, what are kind of the new metrics, um, in, in biz ops that drive people to be looking at the right things, measuring the right things and subsequently making the right decisions, investment decisions on whether they should do, you know, move project a along or project B. >>So there, there are only two things, right? So, so I think what you're talking about is portfolio management, investment management, right. And, um, which, which is a key challenge, right? Um, in my own experience, right? Uh, driving strategy or a large scale kind of software organization for years, um, it's very difficult to even get kind of a base data as to who is doing what, uh, um, I mean, some of our largest customers we're engaged with right now are simply trying to get a very simple answer, which is how many people do I have and that specific initiative at any point in time and just tracking that information is extremely difficult. So, and, and again, back to a product project management Institute, um, they're, they've estimated that on average, it organizations have anywhere between 10 to 20% of their resources focused on initiatives, which are not strategically aligned. >>So that's one dimension on portfolio management. I think the key aspect though, that we are really keen on is really around kind of the alignment of a business metrics to the it metrics. Um, so I'll use kind of two simple examples, right? And my background is around quality. And so I've always believed that fitness for purpose is really kind of a key, um, uh, philosophy if you will. And so if you start to think about quality as fitness for purpose, you start to look at it from a customer point of view, right. And fitness for purpose for core banking application or mobile application are different, right? So the definition of a business value that you're trying to achieve is different. Um, and so the, and yet, if you look at our, it, operations are operating, they were using kind of a same type of, uh, kind of inward metrics, uh, like a database of time or a cycle time, or what is my point of velocity, right? >>And, uh, and so the challenge really is this inward facing metrics that it is using, which are divorced from ultimately the outcome. And so, you know, if I'm, if I'm trying to build a poor banking application, my core metric is likely going to be uptime, right? If I'm trying to build a mobile application or maybe your social mobile app, it's probably going to be engagement. And so what you want is for everybody across it, to look at these metric, and what's hard, the metrics within the software delivery chain, which ultimately contribute to that business metric and some cases cycle time may be completely irrelevant, right? Again, my core banking app, maybe I don't care about cycle time. And so it's really about aligning those metrics and be able to start to differentiate, um, the key challenges you mentioned, uh, around the, the, um, uh, around the disruption that we see is, or the investors is the dilemma now is really around the fact that many it organizations are essentially applying the same approaches of, for innovation, right, for basically scrap work, then they would apply to kind of over more traditional projects. And so, you know, there's been a lot of talk about two-speed it, and yes, it exists, but in reality are really organizations, um, truly differentiating, um, all of the operate, their, their projects and products based on the outcomes that they're trying to achieve. And this is really where BizOps is trying to affect. >>I love that, you know, again, it doesn't seem like brain surgery, but focus on the outcomes, right. And it's horses for courses, as you said, this project, you know, what you're measuring and how you define success, isn't necessarily the same as, as on this other project. So let's talk about some of the principles we've talked about the values, but, you know, I think it's interesting that, that, that the BizOps coalition, you know, just basically took the time to write these things down and they don't seem all that, uh, super insightful, but I guess you just gotta get them down and have them on paper and have them in front of your face. But I want to talk about, you know, one of the key ones, which you just talked about, which is changing requirements, right. And working in a dynamic situation, which is really what's driven, you know, this, the software to change in software development, because, you know, if you're in a game app and your competitor comes out with a new blue sword, you've got to come out with a new blue sword. >>So whether you had that on your Kanban wall or not. So it's, it's really this embracing of the speed of change and, and, and, and making that, you know, the rule, not the exception. I think that's a phenomenal one. And the other one you talked about is data, right? And that today's organizations generate more data than humans can process. So informed decisions must be generated by machine learning and AI, and, you know, in the, the big data thing with Hadoop, you know, started years ago, but we are seeing more and more that people are finally figuring it out, that it's not just big data, and it's not even generic machine learning or artificial intelligence, but it's applying those particular data sets and that particular types of algorithms to a specific problem, to your point, to try to actually reach an objective, whether that's, you know, increasing the, your average ticket or, you know, increasing your checkout rate with, with, with shopping carts that don't get left behind and these types of things. So it's a really different way to think about the world in the good old days, probably when you got started, when we had big, giant, you know, MRDs and PRDs and sat down and coded for two years and came out with a product release and hopefully not too many patches subsequently to that. >>It's interesting. Right. Um, again, back to one of these surveys that we did with, uh, with about 600, the ITA executives, and, uh, and, and we, we purposely designed those questions to be pretty open. Um, and, and one of them was really role requirements and, uh, and it was really a wrong kind of what do you, what is the best approach? What is your preferred approach towards requirements? And if I remember correctly over 80% of the it executives set that the best approach they'll prefer to approach is for requirements to be completely defined before software development starts. Let me pause there where 20 years after the agile manifesto, right? And for 80% of these idea executives to basically claim that the best approach is for requirements to be fully baked before salt, before software development starts, basically shows that we still have a very major issue. >>And again, our hypothesis in working with many organizations is that the key challenge is really the boundary between business and it, which is still very much contract based. If you look at the business side, they basically are expecting for it deliver on time on budget, right. But what is the incentive for it to actually delivering all the business outcomes, right? How often is it measured on the business outcomes and not on an SLA or on a budget type criteria. And so that, that's really the fundamental shift that we need to, we really need to drive up as an industry. Um, and you know, we, we talk about kind of this, this imperative for organizations to operate that's one, and back to the innovator's dilemma. The key difference between these larger organization is, is really kind of a, if you look at the amount of capital investment that they can put into pretty much anything, why are they losing compared to, um, you know, startups? What, why is it that, uh, more than 40% of, uh, personal loans today or issued not by your traditional brick and mortar banks, but by, um, startups? Well, the reason, yes, it's the traditional culture of doing incremental changes and not disrupting ourselves, which Christiansen covered at length, but it's also the inability to really fundamentally change kind of a dynamic picture. We can business it and, and, and partner right. To, to deliver on a specific business outcome. Right. >>I love that. That's a great, that's a great summary. And in fact, getting ready for this interview, I saw you mentioning another thing where, you know, the, the problem with the agile development is that you're actually now getting more silos because you have all these autonomous people working, you know, kind of independently. So it's even a harder challenge for, for the business leaders to, to, to, as you said, to know, what's actually going on, but, but certainly I w I want to close, um, and talk about the coalition. Um, so clearly these are all great concepts. These are concepts you want to apply to your business every day. Why the coalition, why, you know, take these concepts out to a broader audience, including your, your competition and, and the broader industry to say, Hey, we, as a group need to put a stamp of approval on these concepts, values, these principles. >>So, first I think we, we want, um, everybody to realize that we are all talking about the same things, the same concepts. I think we were all from our own different vantage point, realizing that, um, things after change, and again, back to, you know, whether it's value stream management or site reliability engineering, or biz ops, we're all kind of using slightly different languages. Um, and so I think one of the important aspects of BizOps is for us, all of us, whether we're talking about, you know, consulting agile transformation experts, uh, whether we're talking about vendors, right, provides kind of tools and technologies, or these large enterprises to transform for all of us to basically have kind of a reference that lets us speak around kind of, um, in a much more consistent way. The second aspect is for, to me is for, um, these concepts to start to be embraced, not just by us or trying, or, you know, vendors, um, system integrators, consulting firms, educators, thought leaders, but also for some of our old customers to start to become evangelists of their own in the industry. >>So we, our, our objective with the coalition needs to be pretty, pretty broad. Um, and our hope is by, by starting to basically educate, um, our, our joint customers or partners, that we can start to really foster these behaviors and start to really change, uh, some of dynamics. So we're very pleased at if you look at, uh, some of the companies which have joined the, the, the, the manifesto. Um, so we have vendors and suggest desktop or advance, or, um, uh, PagerDuty for instance, or even planned view, uh, one of my direct competitors, um, but also thought leaders like Tom Davenport or, uh, or cap Gemini or, um, um, smaller firms like, uh, business agility, institutes, or agility elf. Um, and so our, our goal really is to start to bring together, uh, thought leaders, people who have been LP, larger organizations do digital transformation vendors, were providing the technologies that many of these organizations use to deliver on these digital preservation and for all of us to start to provide the kind of, uh, education support and tools that the industry needs. Yeah, >>That's great surge. And, uh, you know, congratulations to you and the team. I know this has been going on for a while, putting all this together, getting people to sign onto the manifesto, putting the coalition together, and finally today getting to unveil it to the world in a little bit more of a public, uh, opportunity. So again, you know, really good values, really simple principles, something that, that, uh, shouldn't have to be written down, but it's nice cause it is, and now you can print it out and stick it on your wall. So thank you for, uh, for sharing this story. And again, congrats to you and the team. Thank you. Appreciate it. My pleasure. Alrighty, surge. If you want to learn more about the biz ops, Manifesta go to biz ops manifesto.org, read it, and you can sign it and you can stay here for more coverage. I'm the cube of the biz ops manifesto unveiled. Thanks for watching. See you next time >>From around the globe. It's the cube with digital coverage of this ops manifesto unveiled and brought to you by >>This obstacle volition. Hey, welcome back, everybody Jeffrey here with the cube. Welcome back to our ongoing coverage of the biz ops manifesto unveiling. It's been in the works for awhile, but today's the day that it actually kind of come out to the, to the public. And we're excited to have a real industry luminary here to talk about what's going on, why this is important and share his perspective. And we're happy to have from Cape Cod, I believe is Tom Davenport. He's a distinguished author and professor at Babson college. We could go on, he's got a lot of great titles and, and really illuminary in the area of big data and analytics Thomas. Great to see you. >>Thanks Jeff. Happy to be here with you. >>Great. So let's just jump into it, you know, and getting ready for this. I came across your LinkedIn posts. I think you did earlier this summer in June and right off the bat, the first sentence just grabbed my attention. I'm always interested in new attempts to address longterm issues, uh, in how technology works within businesses, biz ops. What did you see in biz ops, uh, that, that kind of addresses one of these really big longterm problems? >>Well, yeah, but the longterm problem is that we've had a poor connection between business people and it people between business objectives and the, it solutions that address them. This has been going on, I think since the beginning of information technology and sadly it hasn't gone away. And so biz ops is a new attempt to deal with that issue with a, you know, a new framework, eventually a broad set of solutions that increase the likelihood that will actually solve a business problem with an it capability. >>Right. You know, it's interesting to compare it with like dev ops, which I think a lot of people are probably familiar with, which was, you know, built around, uh, agile software development and a theory that we want to embrace change that that changes. Okay. And we want to be able to iterate quickly and incorporate that. And that's been happening in the software world for, for 20 plus years. What's taken so long to get that to the business side, because as the pace of change has changed on the software side, you know, that's a strategic issue in terms of execution, the business side that they need now to change priorities. And, you know, there's no PRDs and MRDs and big, giant strategic plans that sit on the shelf for five years. That's just not the way business works anymore. It took a long time to get here. >>Yeah, it did. And, you know, there had been previous attempts to make a better connection between business and it, there was the so called strategic alignment framework that a couple of friends of mine from Boston university developed, I think more than 20 years ago, but you know, now we have better technology for creating that linkage. And the, you know, the idea of kind of ops oriented frameworks is pretty pervasive now. So I think it's time for another serious attempt at it. >>And do you think doing it this way, right. With the, with the BizOps coalition, you know, getting a collection of, of, of kind of likeminded individuals and companies together, and actually even having a manifesto, which we're making this declarative statement of, of principles and values, you think that's what it takes to kind of drive this kind of beyond the experiment and actually, you know, get it done and really start to see some results in, in, uh, in production in the field. >>I think certainly no one vendor organization can pull this off single handedly. It does require a number of organizations collaborating and working together. So I think our coalition is a good idea and a manifesto is just a good way to kind of lay out what you see as the key principles of the idea. And that makes it much easier for everybody to understand and act on. >>I, I think it's just, it's really interesting having, you know, having them written down on paper and having it just be so clearly articulated both in terms of the, of the values as well as, as the, uh, the principles and the values, you know, business outcomes matter trust and collaboration, data-driven decisions, which is the number three of four, and then learn, respond and pivot. It doesn't seem like those should have to be spelled out so clearly, but, but obviously it helps to have them there. You can stick them on the wall and kind of remember what your priorities are, but you're the data guy. You're the analytics guy, uh, and a big piece of this is data and analytics and moving to data driven decisions. And principle number seven says, you know, today's organizations generate more data than humans can process and informed decisions can be augmented by machine learning and artificial intelligence right up your alley. You know, you've talked a number of times on kind of the mini stages of analytics. Um, and how has that evolved over over time, you know, as you think of analytics and machine learning, driving decisions beyond supporting decisions, but actually starting to make decisions in machine time. What's that, what's that thing for you? What does that make you, you know, start to think, wow, this is this going to be pretty significant. >>Yeah. Well, you know, this has been a longterm interest of mine. Um, the last generation of AI, I was very interested in expert systems. And then, um, I think, uh, more than 10 years ago, I wrote an article about automated decision-making using what was available then, which was rule-based approaches. Um, but you know, this addresses an issue that we've always had with analytics and AI. Um, you know, we, we tended to refer to those things as providing decision support, but the problem is that if the decision maker didn't want their support, didn't want to use them in order to make a decision, they didn't provide any value. And so the nice thing about automating decisions, um, with now contemporary AI tools is that we can ensure that data and analytics get brought into the decision without any possible disconnection. Now, I think humans still have something to add here, and we often will need to examine how that decision is being made and maybe even have the ability to override it. But in general, I think at least for, you know, repetitive tactical decisions, um, involving a lot of data, we want most of those, I think to be at least, um, recommended if not totally made by an algorithm or an AI based system. And that I believe would add to, um, the quality and the precision and the accuracy of decisions and in most organizations, >>No, I think, I think you just answered my next question before I, before I asked it, you know, we had dr. Robert Gates on the former secretary of defense on a few years back, and we were talking about machines and machines making decisions. And he said at that time, you know, the only weapon systems, uh, that actually had an automated trigger on it were on the North Korea and South Korea border. Um, everything else, as you said, had to go through a sub person before the final decision was made. And my question is, you know, what are kind of the attributes of the decision that enable us to more easily automated? And then how do you see that kind of morphing over time, both as the data to support that as well as our comfort level, um, enables us to turn more and more actual decisions over to the machine? >>Well, yeah, as I suggested we need, um, data and the data that we have to kind of train our models has to be high quality and current, and we need to know the outcomes of that data. You know, um, most machine learning models, at least in business are supervised. And that means we need to have labeled outcomes in the, in the training data. But I, you know, um, the pandemic that we're living through is a good illustration of the fact that, that the data also have to be reflective of current reality. And, you know, one of the things that we're finding out quite frequently these days is that, um, the data that we have do not reflect, you know, what it's like to do business in a pandemic. Um, I wrote a little piece about this recently with Jeff cam at wake forest university, we call it data science quarantined, and we interviewed with somebody who said, you know, it's amazing what eight weeks of zeros will do to your demand forecast. We just don't really know what happens in a pandemic. Um, our models maybe have to be put on the shelf for a little while and until we can develop some new ones or we can get some other guidelines into making decisions. So I think that's one of the key things with automated decision making. We have to make sure that the data from the past and that's all we have of course, is a good guide to, you know, what's happening in the present and the future as far as we understand it. >>Yeah. I used to joke when we started this calendar year 2020, it was finally the year that we know everything with the benefit of hindsight, but I turned down 20, 20 a year. We found out we actually know nothing and everything and thought we knew, but I want to, I want to follow up on that because you know, it did suddenly change everything, right? We've got this light switch moment. Everybody's working from home now we're many, many months into it, and it's going to continue for a while. I saw your interview with Bernard Marr and you had a really interesting comment that now we have to deal with this change. We don't have a lot of data and you talked about hold fold or double down. And, and I can't think of a more, you know, kind of appropriate metaphor for driving the value of the biz ops when now your whole portfolio strategy, um, these to really be questioned and, and, you know, you have to be really, uh, well, uh, executing on what you are, holding, what you're folding and what you're doubling down with this completely new environment. >>Well, yeah, and I hope I did this in the interview. I would like to say that I came up with that term, but it actually came from a friend of mine. Who's a senior executive at Genpact. And, um, I, um, used it mostly to talk about AI and AI applications, but I think you could, you could use it much more broadly to talk about your entire sort of portfolio of digital projects. You need to think about, well, um, given some constraints on resources and a difficult economy for a while, which of our projects do we want to keep going on pretty much the way we were and which ones are not that necessary anymore? You see a lot of that in AI, because we had so many pilots, somebody told me, you know, we've got more pilots around here than O'Hare airport and, and AI. Um, and then, but the ones that involve doubled down, they're even more important to you. They are, you know, a lot of organizations have found this out, um, in the pandemic on digital projects, it's more and more important for customers to be able to interact with you, um, digitally. And so you certainly wouldn't want to cancel those projects or put them on hold. So you double down on them and get them done faster and better. Right, >>Right. Uh, another, another thing that came up in my research that, that you quoted, um, was, was from Jeff Bezos, talking about the great bulk of what we do is quietly, but meaningfully improving core operations. You know, I think that is so core to this concept of not AI and machine learning and kind of the general sense, which, which gets way too much buzz, but really applied right. Applied to a specific problem. And that's where you start to see the value. And, you know, the, the BizOps, uh, manifesto is, is, is calling it out in this particular process. But I'd love to get your perspective as you know, you speak generally about this topic all the time, but how people should really be thinking about where are the applications where I can apply this technology to get direct business value. >>Yeah, well, you know, even talking about automated decisions, um, uh, the kind of once in a lifetime decisions, uh, the ones that, um, ag Lafley, the former CEO of Procter and gamble used to call the big swing decisions. You only get a few of those. He said in your tenure as CEO, those are probably not going to be the ones that you're automating in part because, um, you don't have much data about them. You're only making them a few times and in part, because, um, they really require that big picture thinking and the ability to kind of anticipate the future, that the best human decision makers, um, have. Um, but, um, in general, I think where they, I, the projects that are working well are, you know, what I call the low hanging fruit ones, the, some people even report to it referred to it as boring AI. >>So, you know, sucking data out of a contract in order to compare it to a bill of lading for what arrived at your supply chain companies can save or make a lot of money with that kind of comparison. It's not the most exciting thing, but AI, as you suggested is really good at those narrow kinds of tasks. It's not so good at the, at the really big moonshots, like curing cancer or, you know, figuring out well what's the best stock or bond under all or even autonomous vehicles. Um, we, we made some great progress in that area, but everybody seems to agree that they're not going to be perfect for quite a while, and we really don't want to be driving around on, um, and then very much unless they're, you know, good and all kinds of weather and with all kinds of pedestrian traffic and you know, that sort of thing, right? >>That's funny you bring up contract management. I had a buddy years ago, they had a startup around contract management and I've like, and this was way before we had the compute power today and cloud proliferation. I said, you know, how can you possibly build software around contract management? It's language, it's legal, ease. It's very specific. And he's like, Jeff, we just need to know where's the contract. And when does it expire? And who's the signatory. And he built a business on those, you know, very simple little facts that weren't being covered because their contracts are in people's drawers and files and homes. And Lord only knows. So it's really interesting, as you said, these kind of low hanging fruit opportunities where you can extract a lot of business value without trying to, you know, boil the ocean. >>Yeah. I mean, if you're Amazon, um, uh, Jeff Bezos thinks it's important to have some kind of billion dollar project. And he even says it's important to have a billion dollar failure or two every year. But I think most organizations probably are better off being a little less aggressive and, you know, sticking to, um, what AI has been doing for a long time, which is, you know, making smarter decisions based on, based on data. >>Right? So Tom, I want to shift gears one more time before, before we let you go on, on kind of a new topic for you, not really new, but you know, not, not a, the vast majority of, of your publications and that's the new way to work, you know, as, as the pandemic hit in mid March, right. And we had this light switch moment, everybody had to work from home and it was, you know, kind of crisis and get everybody set up. Well, you know, now we're five months, six months, seven months. A number of companies have said that people are not going to be going back to work for a while. And so we're going to continue on this for a while. And then even when it's not what it is now, it's not going to be what it was before. So, you know, I wonder, and I know you, you, uh, you teased, you're working on a new book, you know, some of your thoughts on, you know, kind of this new way to work and, and, and the human factors in this new, this new kind of reality that we're kind of evolving into, I guess. >>Yeah. I missed was an interest of mine. I think, um, back in the nineties, I wrote an article called, um, a coauthored, an article called two cheers for the virtual office. And, you know, it was just starting to emerge. Then some people were very excited about it. Some people were skeptical and, uh, we said two cheers rather than three cheers because clearly there's some shortcomings. And, you know, I keep seeing these pop up. It's great that we can work from our homes. It's great that we can, most of what we need to do with a digital interface, but, um, you know, things like innovation and creativity, and certainly, um, uh, a good, um, happy social life kind of requires some face to face contact every now and then. And so I, you know, I think we'll go back to an environment where there is some of that. >>Um, we'll have, um, times when people convene in one place so they can get to know each other face to face and learn from each other that way. And most of the time, I think it's a huge waste of people's time to commute into the office every day and to jump on airplanes, to, to, um, give every little, um, uh, sales call or give every little presentation. Uh, we just have to really narrow down what are the circumstances where face to face contact really matters. And when can we get by with digital? You know, I think one of the things in my current work I'm finding is that even when you have AI based decision making, you really need a good platform in which that all takes place. So in addition to these virtual platforms, we need to develop platforms that kind of structure the workflow for us and tell us what we should be doing next, then make automated decisions when necessary. And I think that ultimately is a big part of biz ops as well. It's not just the intelligence of an AI system, but it's the flow of work that kind of keeps things moving smoothly throughout your organization. >>I think such, such a huge opportunity as you just said, cause I forget the stats on how often we're interrupted with notifications between email texts, Slack, a sauna, Salesforce, the list goes on and on. So, you know, to put an AI layer between the person and all these systems that are begging for attention, you've written a book on the attention economy, which is a whole nother topic, we'll say for another day, you know, it, it really begs, it really begs for some assistance because you know, you just can't get him picked, you know, every two minutes and really get quality work done. It's just not, it's just not realistic. And you know what? I don't think that's a feature that we're looking for. >>I agree. Totally >>Tom. Well, thank you so much for your time. Really enjoyed the conversation. I got to dig into the library. It's very long. So I might start at the attention economy. I haven't read that one. And to me, I think that's the fascinating thing in which we're living. So thank you for your time and, uh, great to see you. >>My pleasure, Jeff. Great to be here. >>All right. He's Tom I'm Jeff. You are watching the continuing coverage of the biz ops manifesto and Vail. Thanks for watching the cube. We'll see you next time.
SUMMARY :
a BizOps manifesto unveiled brought to you by biz ops coalition. Good to see you again. And I think you said you're at a fun, exotic place on the East coast Great to see you again, where are you coming in from? you know, you can do better stuff within your own company, surge, why don't we start with you? whether we're talking about vendors or, um, you know, system integrators, consulting firms are talking And I think we got a lot of improvement at the team level, and I think as satisfies noted, I wonder if you could kind of share your And in general, I think, you know, we've just kind of optimized that to narrow for a long time and it's been, you know, kind of trucking along and then covert hit and Um, but, but yet when we look at large enterprises, And not surprisingly, you know, And, you know, we talk about people process and we, we realized that to be successful with any kind of digital transformation you If we build it, they won't necessarily come. So I wonder if you can just share your thoughts on, you know, using flow as a way to think You need to optimize how you innovate and how you deliver value to the business and the customer. And I'm gonna back to you Tom, on that to follow up. And, um, you know, it's, it's a difficult aspect or you frame it as an either or situation where you could actually have some of both, but if the culture doesn't adopt it and people don't feel good about it, you know, it's not going to be successful and that's We start to enable these different stakeholders to not debate the data. the best examples I have is if you start to be able to align business And so you really want to start And, you know, what are the factors that are making flow from, uh, you know, the digital native, um, Um, so you know, is the, is the big data I'm just going to use that generically you know, at some point maybe we reached the stage where we don't do anything and taking the lessons from agile, you know, what's been the inhibitor to stop this And that will help you that value flow without interruptions. And, you know, there's probably never been a more important time than now to make sure that your prioritization is We'll see you next time of biz ops manifesto unveiled brought to you by biz ops coalition. We're in our Palo Alto studios, and we'd like to welcome you back to Yeah, it's great to be here. The biz ops manifesto, why the biz ops coalition now when you guys And it's, you know, I really applaud this whole movement. I mean, whether, you know, I never sit down and say, you know, the product management team has to get aligned with Maybe trying to eliminate the word alignment, you know, from a lot of our organizations, Um, the ones that, that jumps out though is really about, you know, change, you know, it's kind of a, now an analogy for transformation. instituting the whole program, implement, you know, the program, increment planning, capabilities, kind of model is, um, and also, uh, you know, on that shorter increment, to really kind of just put them down on paper and, you know, I can't help, but think of, So, um, you know, you really, I think we've attacked that in a variety And so when we pie plan, you know, myself and Cameron and the other members of our leadership, So they can, you know, quickly ship code that works. mixed book, you know, it was a great piece on a, you're talking to Mick, you know, as part of the manifesto is right, I mean, we run product management models, you know, with software development teams, But th the sudden, you know, light switch moment, everybody had to go work from home and in March 15th And we kind of, you know, when we started with John and built, you know, out of concentric circles of momentum and, I think COVID, you know, to get behind these, but if it takes, you know, something a little bit more formal, uh, And I think it's a very analogous, you know, even if you don't like what the, even if you can argue against the math, behind the measurement, It's great to be here. And if you want to check out the biz ops, Manifesta go to biz of biz ops manifesto unveiled brought to you by biz ops coalition. or excited to have some of the foundational people that, you know, have put their, put their name on the dotted, It's good to be close to the U S and it's going to have the Arabic cleaner as well. there at Xerox park, you know, some of the lessons you learned and what you've been able to kind of carry forward And of course there's as, as you know, uh, there's just this DNA of innovation and excitement And I realized none of this was really working in that there was something else, So, you know, the agile movement got started about 20 years ago, And the way that the business was working was planning was investing the right measurement data sets so that you can make the right decisions in terms of what you're investing, different from the way that you measure business outcomes. And it's really interesting to me cause I know, you know, flow on one hand is kind of a workflow did the customer go to the feature and how quickly did you learn and how quickly did you use that data to drive to you increase flow to the customer. And, you know, I love that, you know, took this approach really of having kind of four So really the key thing is, is to move away from those old ways of doing things, So these things do seem, you know, very obvious when you look at them. but the real power, I think in Moore's laws is the attitudinal change in terms of working in a world where you And you also make it sound so simple, but again, if you don't have the data driven visibility as we see with the tech giants, you actually can both lower your costs and you know, you have to constantly be delivering value and upgrading that value because you're constantly taking money as well as the flow frame of touch on is if you can't measure how much value you deliver to a customer, And you can go on and on and on. if you can model your value streams, so you actually understand how you're innovating, you know, more senior people being overloaded and creating bottlenecks where they didn't exist. Well, you know, what's the biggest inhibitor for most So I think you can reach out to us through the website, uh, for the manifesto. continue to spread that well, uh, you know, good for you through the book and through your company. Thanks so much for having me, Jeff. They'd love to have you do it. a biz ops manifesto unveiled brought to you by biz ops coalition. It's the biz ops manifesto manifesto unveil. Jeff Frick here with the cube come to you from our Palo Alto studios today for a big, Glad to be here. What is the biz ops manifesto? years later, and if you look at the current state of the industry of the product, you know, providing them with support, but also tools and consulting that is of COVID, which, you know, came along unexpectedly. Um, and you know, if you go back to, uh, I think you'll unmask a And the reality is that if you look at it, especially in the last decade, I just liked that you put down these really simple, you know, kind of straightforward core values. And you see that every day. And yet, um, you know, the it teams, whether it's operation software environments were And there's a good ROI when you talk about, you know, companies not measuring the right thing. kind of a base data as to who is doing what, uh, um, And so if you start to think about quality as fitness for purpose, And so, you know, if I'm, But I want to talk about, you know, one of the key ones, which you just talked about, of the speed of change and, and, and, and making that, you know, And if I remember correctly over 80% of the it executives set that the Um, and you know, we, we talk about kind of this, Why the coalition, why, you know, take these concepts out to a broader audience, all of us, whether we're talking about, you know, consulting agile transformation experts, So we're very pleased at if you look at, And, uh, you know, congratulations to you and the team. of this ops manifesto unveiled and brought to you by It's been in the works for awhile, but today's the day that it actually kind of come out to the, So let's just jump into it, you know, and getting ready for this. deal with that issue with a, you know, a new framework, eventually a broad set get that to the business side, because as the pace of change has changed on the software side, you know, And the, you know, With the, with the BizOps coalition, you know, getting a collection of, and a manifesto is just a good way to kind of lay out what you see as the key principles Um, and how has that evolved over over time, you know, I think at least for, you know, repetitive tactical decisions, And my question is, you know, what are kind of the attributes of of course, is a good guide to, you know, what's happening in the present and the future these to really be questioned and, and, you know, you have to be really, uh, and AI applications, but I think you could, you could use it much more broadly to talk about your you know, you speak generally about this topic all the time, but how people should really be thinking about where you know, what I call the low hanging fruit ones, the, some people even report to it referred of weather and with all kinds of pedestrian traffic and you know, that sort of thing, And he built a business on those, you know, very simple little what AI has been doing for a long time, which is, you know, making smarter decisions And we had this light switch moment, everybody had to work from home and it was, you know, kind of crisis and get everybody And so I, you know, I think we'll go back to an environment where there is some of And most of the time, I think it's a huge waste of people's time to commute on the attention economy, which is a whole nother topic, we'll say for another day, you know, I agree. So thank you for your time We'll see you next time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff | PERSON | 0.99+ |
Mick | PERSON | 0.99+ |
Patrick | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Charles | PERSON | 0.99+ |
Cameron | PERSON | 0.99+ |
Lucio | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Tom | PERSON | 0.99+ |
Tom Davenport | PERSON | 0.99+ |
Thomas | PERSON | 0.99+ |
Netflix | ORGANIZATION | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
ITA | ORGANIZATION | 0.99+ |
Boston | LOCATION | 0.99+ |
five months | QUANTITY | 0.99+ |
two | QUANTITY | 0.99+ |
Cape Cod | LOCATION | 0.99+ |
Jeffrey | PERSON | 0.99+ |
six months | QUANTITY | 0.99+ |
Canada | LOCATION | 0.99+ |
March 15th | DATE | 0.99+ |
99 | QUANTITY | 0.99+ |
one week | QUANTITY | 0.99+ |
Kirsten | PERSON | 0.99+ |
seven months | QUANTITY | 0.99+ |
Jeff Bezos | PERSON | 0.99+ |
five years | QUANTITY | 0.99+ |
October | DATE | 0.99+ |
Rick | PERSON | 0.99+ |
2020 | DATE | 0.99+ |
two years | QUANTITY | 0.99+ |
two years | QUANTITY | 0.99+ |
John Terry | PERSON | 0.99+ |
Vancouver | LOCATION | 0.99+ |
Genpact | ORGANIZATION | 0.99+ |
Harvard | ORGANIZATION | 0.99+ |
20 | QUANTITY | 0.99+ |
10 week | QUANTITY | 0.99+ |
one hour | QUANTITY | 0.99+ |
16% | QUANTITY | 0.99+ |
77% | QUANTITY | 0.99+ |
10 times | QUANTITY | 0.99+ |
PowerPoint | TITLE | 0.99+ |
10 times | QUANTITY | 0.99+ |
Nick | PERSON | 0.99+ |
second layer | QUANTITY | 0.99+ |
80% | QUANTITY | 0.99+ |
Clayton Christianson | PERSON | 0.99+ |
two decades | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
John | PERSON | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
20 plus years | QUANTITY | 0.99+ |
Cisco DevNet 2020 V5 FULL
>>Hello everyone. This is Dave Vellante, and I want to welcome you to the cubes presentation of accelerating automation with dev net in this special program, we're going to explore how to accelerate digital transformation and how the global pandemic is changing the way we work and the kinds of work that we do, the cube has pulled together experts from Cisco dev net. Now dev net is essentially Cisco as code. I've said many times in the cube, but in my opinion, it's the most impressive initiative coming out of any established enterprise infrastructure company. What Cisco has done brilliantly with dev net is to create an API economy by leveraging its large infrastructure portfolio and its ecosystem. But the linchpin of dev net is the army of trained Cisco engineers, including those with the elite CC I E designation. Now dev net was conceived to train people on how to code infrastructure and develop applications in integrations. It's a platform to create new value and automation is a key to that. Creativity. Now let's kick things off with the architect of dev net senior vice president in general manager of Cisco's dev net and CX ecosystem success. Susie, we roam around the globe presenting accelerating automation with damnit brought to you by Cisco. >>Hello and welcome to the cube. I'm Sean for a year host. We've got a great conversation, a virtual event, accelerating automation with dev net, Cisco dev net. And of course we got the Cisco brain trust here, our cube alumni, Susie wee vice president, senior vice president GM, and also CTO of Cisco dev net and ecosystem success CX all that great stuff. Many Wade Lee, who's the director, senior director of dev net certifications, Eric field, director of developer advocacy, Susie Mandy, Eric. Great to see you. Thanks for coming on. Great to see you, John. So we're not in first. We don't, can't be at the dev net zone. We can't be on site doing dev net creative, all the great stuff we've been doing over the past few years where virtual the cube virtual. Thanks for coming on. Uh, Susie, I gotta ask you because you know, we've been talking years ago when you started this mission and just the success you've had has been awesome, but dev net create has brought on a whole nother connective tissue to the dev net community. This is what this ties into the theme of accelerating automation with dev net, because you said to me, I think four years ago, everything should be a service or X AAS as it's called and automation plays a critical role. Um, could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your, what's your vision? >>Yeah, absolutely. I mean, what we know is that as more and more businesses are >>Coming online is, I mean, they're all online, but as they're growing into the cloud is they're growing in new areas. As we're dealing with security is everyone's dealing with the pandemic. There's so many things going on. Uh, but what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security, it has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable and you don't need just apps riding on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to higher level business processes and tie all of that up and down the staff by leveraging automation. >>You know, I remember a few years ago when dev net created for start a, I interviewed Todd Nightingale and we were talking about Meraki, you know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about, then this is kind of what's going on now. And we were just recently, I think our last physical event was a Cisco, um, uh, Europe in Barcelona before all the COVID hit. And you had this massive cloud surgeon scale happening going on, right when the pandemic hit. And even now more than ever the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that, um, cause the business stay alive. And to get your thoughts on, um, what's going on in your world because you were there in person now we're six months in scale is huge. >>We are. Yeah, absolutely. And what happened is as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home, can I make sure that my it infrastructure is automated out from home? Can I make sure that every employee is out there and working safely and securely, you know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. >>So we had to extend business applications to people's homes, uh, in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they wouldn't let, they didn't have rules to let people work from home in these areas. So then what had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate digitally, transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still all in that environment today. >>Now one of the hottest trends before the pandemic was observability, uh, Coobernetti's serve, uh, microservices. So those things, again, all dev ops and, you know, have you guys got some acquisitions, you about thousand eyes? Um, um, you've got a new one you just bought, um, recently port shift to raise the game in security Cooper and all these microservices. So observability super hot, but then people go work at home. As you mentioned, how do you observe, what are you observing? The network is under a huge pressure. I mean, it's crashing on people's zooms and WebExes and, uh, education, huge amount of network pressure. How are people adapting to this and the app side? How are you guys looking at the what's being programmed? What are some of the things that you're seeing with use cases around this program? Ability, challenge and observability challenges. It's a huge deal. >>Yeah, absolutely. And, um, you know, going back to Todd Nightingale, right. You know, back when we talked to Todd before he had Meraki and he had designed this simplicity, this ease of use this cloud managed, you know, doing everything from one central place and now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger, um, at that bigger scale for Cisco and for our customers. And he is building in the observability and the dashboards and the automation and the API APIs into all of it. Um, but when we take a look at what our customers needed is again, they had to build it all in. Um, they have to build in and what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. >>All of that used to be an it conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually calling on the heads of it and the CIO and saying, you know, how's our VPN connectivity is everybody working from home? How many people are connected and able to work and what's their productivity. So all of a sudden, all these things that were really infrastructure, it stuff became a board level conversation. And, you know, once again, at first, everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has, has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >>Cause you know, you got to go, but real quick, um, describe what accelerating automation with dev net means. Well, you've >>Been falling, you know, we've been working together on dev net and the vision of the infrastructure programmability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people rumblings are definite community has risen to this challenge. Um, people have jumped in, they've gotten their certifications. We have thousands of people getting certified. Uh, you know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerate, accelerating automation while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications of, you know, cloud directed businesses and cloud growth. So it actually is about people just as much as it is about automation and technology. >>We got dev net created right around the corner, virtual unfortunate won't be in person, but we'll be virtual. Susie. Thank you for your time. We're going to dig into those people, challenges with Mandy and Eric. Thank you for coming on. I know you've got to go, but stay with us. We're going to dig in with Mandy and Eric. >>Thanks. Thank you so much. Have fun. Thanks John. >>Okay. Mandy, you heard, uh, Susie is about people and one of the things that's close to your heart and you've been driving is, uh, as senior director of dev net certifications, um, is getting people leveled up. I mean the demand for skills, cybersecurity network, programmability automation, network design solution architect, cloud multicloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >>Oh yes, absolutely. The, you know, what we've been seeing is a lot of those business drivers that Susie was mentioning, those are, what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network, automation, engineer, network, automation, developer, which Susie mentioned and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. >>Eric, I want to go to you for a quick second on this, um, um, piece of getting the certifications. Um, first, before you get started, describe what your role is as director developer advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact, switch and get some certifications and that they can code more. What's your >>Absolutely. So it's interesting. It definitely is changing a lot. A lot of our historically a lot of focus for my team has been on those outward events. So going to the Devin that creates the Cisco lives and helping the community connect and to help share tech mountain technical information with them, um, doing hands on workshops and really getting people into how do you really start solving these problems? Um, so that's had to pivot quite a bit. Um, obviously Cisco live us. We pivoted very quickly to a virtual event when, when conditions changed and we're able to actually connect as we found out with a much larger audience. So, you know, as opposed to in person where you're bound by the parameters of, you know, how big the convention center is, uh, we were actually able to reach a worldwide audience with our, uh, our definite data that was kind of attached on to Cisco live. >>And we got great feedback from the audience that now we were actually able to get that same enablement out to so many more people that otherwise might not have been able to make it. Um, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes and your learning labs, things like that, that they can come and get whenever they're looking for it out on a dev net site. And then my team also looks after communities such as the Cisco learning network where this there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group, that all of the people that have been there for years are now looking at the domain certifications and helping other people that are trying to get on board with programmability. They're taking a lot of those same community enablement skills and propping up the community with, you know, helping you answer questions, helping provide content. They've moved now into the dump space as well, and are helping people with that service or what it's great seeing the community come along and really see that. Okay. >>I ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Are, is there anything in particular, obviously network automation has been around for a long time. Cisco has been leader in that, but as you move up, the stack as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? >>Yeah, absolutely. So you mentioned a observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability, uh, now that we need it? Well, we're virtual. Um, so that's actually been a huge uptake and we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out how can I do this at scale? I think one good example that, uh, Susie was talking about the VPN example, and we actually had a number SES in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that it departments might care about, about their firewalls, things that you do normally look at me old days, you would size your firewalls based on, you know, assuming a certain number of people working from home. >>And when that number went to a hundred percent things like licenses started coming into play, where they needed to make sure they have the right capacity in their platforms that they weren't necessarily designed for. So one of the STDs actually wrote a bunch of code to go out, use some open source tooling, to monitor and alert on these things and then published it. So the whole community code could go out and get a copy of it, try it out their own environment. And we saw a lot of interest around that in trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >>That's great. Mandy. I want to get your thoughts on this too, because as automation continues to scale, um, it's going to be a focus and people are at home and you guys had a lot of content online for you recorded every session that didn't the dev Ned zone learnings going on, sometimes linearly. And nonlinearly you got the certifications, which is great. That's key, key, great success there. People are interested, but what are the learnings? Are you seeing? What are people doing? What's the top top trends. >>Yeah. So what we're seeing is like you said, people are at home, they've got time. They want to advance their skillset. And just like any kind of learning people want choice because they want to be able to choose what's matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors, leading them through a study plan. And we have two new, uh, expert led study groups like that. We're also seeing whole teams at different companies who want to do, uh, an immersive learning experience together, uh, with projects and office hours and things like that. And we have a new, um, offer that we've been putting together for people who want those kinds of team experiences called automation boot camp. And then we're also seeing individuals who want to be able to, you know, dive into a topic, do a hands on lab, get some skills, go to the rest of the day of do their work and then come back the next day. >>And so we have really modular self-driven hands on learning through the dev net fundamentals course, which is available through dev net. And then there's also people who are saying, I just want to use the technology. I like to experiment and then go, you know, read the instructions, read the manual, do the deeper learning. And so they're, they're spending a lot of time in our dev net sandbox, trying out different technologies, Cisco technologies with open source technologies, getting hands on and building things. And three areas where we're seeing a lot of interest in specific technologies. One is around SD wan. There's a huge interest in people skilling up there because of all the reasons that we've been talking about security is a focus area where people are dealing with new, new kinds of threats, having to deal with them in new ways and then automating their data center, using infrastructure as code type principles. So those are three areas where we're seeing a lot of interest and you'll be hearing some more about that at dev net create >>Eric and Mandy. If you guys can wrap up this accelerate automation with dev net package and a virtual event here, um, and also tee up dev net create because dev net create has been a very kind of grassroots, organically building momentum over the years. And again, it's super important cause it's now the app world coming together with networking, you know, end to end programmability and with everything as a service that you guys are doing everything with API APIs, I'm only can imagine the enablement that's gonna create. Can you share the summary real quick on accelerating automation with dev net and tee up dev net create Mandy, we'll start with you. >>Yes, I'll go first. And then Eric can close this out. Um, so just like we've been talking about with you at every Devin event over the past years, you know, damnit is bringing APIs across our whole portfolio and up and down the stack and accelerating, uh, automation with dev net. Susie mentioned the people aspect of that the people's skilling up and how that transformed teams, transforms teams. And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so what I think about accelerating automation with dev net, it's about the Duveneck community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community. With those new skills. >>Eric take us home. He accelerating automation, dev net and dev net create a lot of developer action going on in cloud native right now, your thoughts? >>Absolutely. I think it's exciting. I mentioned the transition to virtual for Devin that day, this year for Cisco live. And we're seeing, we're able to leverage it even further with create this year. So, whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding the start now track for people that want to be there. They want to be a developer, a network automation developer, for instance, we've now got attract just for them where they can get started and start learning. Some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. Um, so I love that we're able to bring that together with the experienced community that we usually do from across the industry, bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud, to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mix together, as well as getting some of our business units together too, and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new APIs into their platforms? What are the, what problems are they hoping >>That customers will be able to solve with them? So I think together seeing all of that and then bringing the community together from all of our usual channels. So like I said, Cisco learning network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >>Awesome. Thanks so much. >>Can I add one, add one more thing? Yeah. I was just gonna say the other really exciting thing about create this year with the virtual nature of it is that it's happening in three regions. And, um, you know, we're so excited to see the people joining from all the different regions and, uh, content and speakers and the region stepping up to have things personalized to their area, to their community. And so that's a whole new experience for them that create that's going to be fantastic this year. >>Yeah. That's what I was going to close out and just put the final bow on that. By saying that you guys have always been successful with great content focused on the people in the community. I think now during what this virtual dev net virtual dev net create virtual, the cube virtual, I think we're learning new things. People working in teams and groups and sharing content, we're going to learn new things. We're going to try new things and ultimately people will rise up and we'll be resilient. I think when you have this kind of opportunity, it's really fun. And we'll, we'll, we'll ride the wave with you guys. So thank you so much for taking the time to come on the cube and talk about your awesome accelerating automation and dev net. Great. Looking forward to it. Thank you. >>Thank you so much. Happy to be here. >>Okay. I'm Jennifer with the cube virtual here in Palo Alto studios doing the remote content amendment virtual tour face to face. Thank you so much for watching and we'll see you at dev net create thanks for watching. >>Welcome back. And Jeffrey, >>The cube coming to you from our Palo Alto studio with ongoing coverage of the Cisco dev data van, it's called accelerating automation with dev net and the new normal. And we certainly know the new normal is, is not going away. They've been doing this since the middle of March or all the way to October. And so we're excited to have our next guest is Thomas Shively. He's the vice president of product marketing and data center networking for the intent based networking group at Cisco Thomas. Great to see you. >>Hey, good to see you too. Yeah. Yeah. Everybody can see on our background. Exactly, >>Exactly. So, I mean, I'm curious, we've talked to a lot of people. We talked to a lot of leaders, you know, especially like back in March and April with this light switch moment, which was, you know, no time to prep and suddenly everybody has to work from home. Teachers got to teach from home. And so you got the kids home, you got the spouse home, everybody's home trying to get on the network and do their zoom calls in their classes. I'm curious from your perspective, you guys are right there on the, on the network you're right in the infrastructure. What did you hear and see kind of from your customers when suddenly, you know, March 16 hit and everybody had to go home. >>Wow, good point. Hey, I do think we all appreciate the network >>Much more than we used to do before. Uh, and then the only other difference is I'm really more on WebEx calls and zoom calls, but, you know, otherwise, uh, yes. Um, what, what I do see actually is that as I said, network becomes much more operative as a critical piece. And so before we really talked a lot about, uh, agility and flexibility these days, we talk much more about resiliency quite frankly. Uh, and what do I need to have in place with respect to network to get my things from left to right. And you know, it, 2000 East to West, as we say on the data center. Right. Uh, and that just is for most of my customers, a very, very important topic at this point. >>Right. You know, it's, it's amazing to think, you know, had this happened, you know, five years ago, 10 years ago, you know, the ability for so many people in, in, in the information industry to be able to actually make that transition relatively seamlessly, uh, is, is actually pretty amazing. I'm sure there was some, some excitement and some kudos in terms of, you know, it, it is all based on the network and it is kind of this quiet thing in the background that nobody pays attention to. It's like a ref in the football game until they make a bad play. So, you know, it, it is pretty fascinating that you and your colleagues have put this infrastructure and that enabled us to really make that move with, with, with really no prep, no planning and actually have a whole lot of services delivered into our homes that we're used to getting at the office are used to getting at school. >>Yeah. And I mean, to your point, I mean, some of us did some planning, can we clearly talking about some of these, these trends and the way I look at this trans as being distributed data centers and, um, having the ability to move your workloads and access for users to wherever you want to be. And so I think that clearly went on for a while then. So in a sense, we, we, we prep was, or no, but we're prepping for it. Um, but as I said, resiliency just became so much more important than, you know, one of the things I actually do a little block, a little, little, uh, abrupt before a block I put out end of August around resiliency. Uh, you, you, if he didn't, if he didn't put this in place, you better put it in place. Because I think as we all know, we sold our match. This is like maybe two or three months, we're now in October. Um, and I sing, this is the new normal for some time being. Yeah, >>I think so. So let's stick on that theme in terms of, of trends, right? The other great, uh, trend as public cloud, um, and hybrid cloud and multi cloud, there's all types of variants on that theme you had in that blog post about, uh, resiliency in data center, cloud networking, data center cloud, you know, some people think, wait, it's, it's kind of an either, or I either got my data center or I've got my stuff in the cloud and I've got public cloud. And then as I said, hybrid cloud, you're talking really specifically about enabling, um, both inner inner data center resiliency within multi data centers within the same enterprise, as well as connecting to the cloud. That's probably counterintuitive for some people to think that that's something that Cisco is excited about and supporting. So I wonder if you can share, you know, kind of how the market is changing, how you guys are reacting and really putting the things in place to deliver customer choice. >>Yeah, no, it's actually, to me, it's really not a counterintuitive because in the end was what, uh, I'm focusing on. And the company is focused on is what our customers want to do and need to do. Uh, and that's really, um, would, you know, most people call hybrid cloud or multi-cloud, uh, in, in the end, what it is, what it is, is really the ability to have the flexibility to move your workloads where you want them to be. And there are different reasons why you want to place them, right? You might've placed them for security reasons. You might have played some compliance reasons, depending on which customer segment you after, if you're in the United States or in Europe or in Asia, there are a lot of different reasons where you're going to put your sinks. And so I sing in the end, what a, an enterprise looks for is that agility, flexibility, and resiliency. >>And so really what you want to put in place is what we call like the cloud on ramp, right? You need to have an ability to move sings as needed. But the logic context section, which we see in the last couple of months, accelerating is really this whole seam around digital transformation, uh, which goes hand in hand then was, uh, the requirement on the at T side really do. And I T operations transformation, right. How it operates. Uh, and I think that's really exciting to see, and this is where a lot of my discussions I was customers, uh, what does it actually mean with respect to the it organization and what are the operational changes? This a lot of our customers are going through quite frankly, accelerated right. Going through, >>Right. And, and automation is in the title of the event. So automation is, you know, is an increasingly important thing, you know, as the, as we know, and we hear all the time, you know, the flows of data, the complexity of the data, either on the security or the way the network's moving, or as you said, shifting workloads around, based on the dynamic situations, whether that's business security, et cetera, in a software defined networking has been around for a while. How are you seeing kind of this evolution in adding more automation, you know, to more and more processes to free up those, those, um, no kind of limited resources in terms of really skilled people to focus on the things that they should be focused on and not stuff that, that hopefully you can, you know, get a machine to run with some level of. >>Yeah. Yeah. That's a good point. And I said the tech line, I have, you know, sometimes when my mind is really going from a cloud ready, which is in most of our infrastructure is today to cloud native. And so let me a little expand on those, right? There's like the cloud ready is basically what we have put in place over the last five to six years, all the infrastructure that all our customers have, network infrastructure, all the nexus 9,000, they're all cloud ready. Right. And what this really means, do you have API APIs everywhere, right? Whether this is on the box, whether it's on the controller, whether this is on the operations tools, all of these are API enabled and that's just the foundation for automation, right? You have to have that. Now, the next step really is what do you do with that capability? >>Right? And this is the integration with a lot of automation tools, uh, and that's a whole range, right? And this is where the it operation transformation kicks in different customers at different speeds, right? Some just, you know, I use these API APIs and use NoMo tools that they have on a network world just to pull information. Some customers go for further and saying, I want to integrate this with some CMDB tools. Some go even further and saying, this is like the cloud native pleasing, Oh, I want to use, let's say red hat Ansible. I want to use, uh, how she called Terraform and use those things to actually drive how I manage my infrastructure. And so that's really the combination of the automation capability. Plus the integration with relevant cloud native enabling tools that really is happening at this point. We're seeing customers accelerating that, that motion, which really then drives us how they run their it operations. Right? And so that's a pretty exciting, exciting area to see a given. I, we have the infrastructure in place. There's no need for customers to actually do change something. Most of them have already the infrastructures that can do this. It is just no doing the operational change. The process changes to actually get there. >>Right. And it's funny, we, we recently covered, you know, PagerDuty and, and they highlight what you just talked about. The cloud native, which is, you know, all of these applications now are so interdependent on all these different API APIs, you know, pulling data from all of these applications. So a, when they work great, it's terrific. But if there's a problem, you know, there's a whole lot of potential throat to choke out there and find, find those issues. And it's all being connected via the network. So, you know, it's even more critically important, not only for the application, but for all these little tiny components within the application to deliver, you know, ultimately a customer experience within a very small units of time, uh, so that you don't lose that customer. You, you complete that transaction. They, they check out of their shopping cart. You know, all these, these things that are now created with cloud native applications that just couldn't really do before. >>No, you're absolutely right. And that's, this is like, just sit. I'm actually very excited because it opens up a lot of abilities for our customers, how they want to actually structure the operation. Right? One of the nice things around this or automation plus, uh, tool integration, cloning to, and integration is you actually opened this up, not a soul automation train, not just to the network operations personnel, right. You also open it up and can use this for the second ops person or for the dev ops person or for the cloud ops engineering team. Right. Because the way it's structured, the way we built this, um, is literally as an API interface and you can now decide, what is your process do you want to have? And what traditional, you have a request network, operation teams executes the request using these tools and then hand it back over. >>Or do you say, Hey, maybe some of these security things I got to hand over the sec ups team, and they can directly call these these KPIs, right? Or even one step further, you can have the opportunity that the dev ops or the application team actually says, Hey, I got to write a whole infrastructure as code kind of a script or template, and I just execute. Right. And it's really just using what the infrastructure provides. And so that whole range of different user roles and our customer base, what they can do with the automation capability that's available. It's just very, very exciting way because it's literally unleashes a lot of flexibility, how they want to structure and how they want to rebuild the it operations processes. >>That's interesting, you know, cause the, you know, the DevOps culture has taken over a lot, right. Obviously change software programming for the last 20 years. And I think, you know, there's a, there's a lot of just kind of the concept of dev ops versus necessarily, you know, the actual things that you do to execute that technique. And I don't think most people would think of, you know, network ops or, you know, net ops, you know, whatever the equivalent is in the networking world to have, you know, kind of a fast changing dynamic, uh, kind of point of view versus a, you know, stick it in, you know, spec it, stick it in, lock it down. So I wonder if you can, you can share how, you know, kind of that dev ops, um, attitude point of view, workflow, whatever the right verb is, has impacted, you know, things at Cisco and the way you guys think about networking and flexibility within the networking world. >>Yeah, literally, absolutely. And again, it's all customer driven, right? There's none of those. None of those is really actually, you know, a little bit of credit, maybe some of us where we have a vision, but a lot of it is just customer driven feedback. Uh, and yeah, we, we do have network operations teams comes to saying, Hey, we use Ansible heavily on the compute side, we might use this for alpha seven. We want to use the same for networking. And so we made available all these integrations, uh, with sobriety as a state, whether these are the switches, whether these are ACI decent, a controller or our multicell orchestration capabilities, all of these has Ansible integration the way to the right. Uh, the other one, as I mentioned, that how she formed Turco Terraform, we have integrations available and they see the requests for these tools to use that. >>Uh, and so that is emotion where in for all the, you know, and, uh, another block actually does out there, we just posted saying, Neil, all set what you can do and then a Palo to this, right. Just making the integration available. We also have a very, very heavy focus on definite and enablement and training, uh, and you know, a little plugin. I know, uh, probably, uh, part of the segment, the whole definite community that Cisco has is very, very vibrant. Uh, and the beauty of this is right. If you look at us, whether you're a NetApps person or dev ops person or SecOps person, it doesn't really matter. It has a lot of like capability available to just help you get going or go from one level to the next level. Right. And it's simplest thing that like sent books and why moments where you can, we know what's out stress, try sinks out snippets of code Coda there, you can do all of these things. And so we do see it's a kind of a push and pull a tremendous amount of interest and a tremendous, uh, uh, time people spend to learn quite frankly. And that's another site product of, of, you know, the situation we're in and people said, Oh man, and say, okay, online learning, that's the thing. So these, these, these tools are used very, very heavily. Right, >>Right. That's awesome. Cause you know, we've, we've had Susie Lee on a number of times and I know he and Mandy and the team really built this dev net thing. And it really follows along this other theme that we see consistently across other pieces of tech, which is democratization, right. Democratization of the access tool, taking it out of, of just a mahogany row with, again, a really limited number of people that know how to make it work and can make the changes and then opening up to a software defined world where now that the, you know, the, it says application centric, point of view, where the people that are building the apps to go create competitive advantage. Now don't have to wait for, you know, the one network person to help them out out of these environments. Really interesting. And I wonder if, you know, when you look at what's happening with public cloud and how they kind of change the buying parameter, how they kind of changed the degree of difficulty to get projects started, you know, how you guys have kind of integrated that, that type of thought process to make it easier for app developers to get their job done. >>Yeah. I mean, again, it's, it's, uh, I typically look at this more from a, from a customer lands, right? It's the transformation process and it always starts as I want agility. I want flexibility. I want to resiliency, right. This is where we talk to a business owner, what they're looking for. And then that translates into, into an I operations process, right? Your strategy needs to map then how you actually do this. Uh, and that just drives then what tools do you want to have available to actually enable this? Right. And the enablement again is for different roles, right? There is you need to give sync services to the app developer and, uh, the, the platform team and the security team, right. To your point. So the network, uh, can act at the same speed, but you also give to us to the network operations teams because they need to, uh, adjust. >>Then they have the ability to react to, uh, to some of these requirements. Right. And it's not just automation. I say, we, we, we focused on that, but there's also to your point, the, the need, how do I extend between data centers? You know, just, just for backup and recovery and how do I extend into, into public clouds, right? Uh, and in the end, that's a, that's a network connectivity problem. Uh, and we have soft as, uh, we have made as available. We have integrations into, uh, AWS. We have integrations into a joy to actually make this very easy from a, from a network perspective to extend your private, private networks into which of private networks on these public clouds. So from an app development perspective, now it looks like he's on the same network. It's a protective enterprise network. Some of it might sit here. >>Some of it might sit here, but it's really looking the same. And that's really in the enticing, what a business looks at, right. They don't necessarily want to say, I need to have something separate for this deployment. What's a separate for that deployment. What they want is I need to deploy something. I need to do this resilient. And the resilient way in an agile way gives me the tools. And so that's really where we focused, um, and what we're driving, right? It's that combination of automation consistently, and then definite tools, uh, available that we support. Uh, but they're all open. Uh, they're all standard tools as the ones I mentioned, right. That everybody's using. So I'm not getting into this. Oh, this is specific to Cisco, right. It's really democratisation. I actually liked your term. Yeah. >>Yeah. It's, it's a great terminate. And it's, it's really interesting, especially with, with the API APIs and the way everything is so tied together that everyone kind of has to enable this because that's what the customer is demanding. Um, and it is all about the applications and the workloads and where those things are moving, but they don't really want to manage that. They just want to, you know, deliver business benefit to their customers and respond to, uh, you know, competitive threats in the marketplace, et cetera. So it's really an interesting time for the infrastructure, you know, to really support kind of this app first point of view, uh, versus the other way around is kind of what it used to be and, and enable this hyper fast development hyper fast, uh, change in, in, in the competitive landscape or else you will be left behind. Um, so super important stuff. >>Yeah, no, I totally agree. And as I said, I mean, it's, it's kind of interesting is we, we started on the Cisco data center side. We started this probably six or seven years ago. Uh, when we, when we named the application centric, uh, clearly a lot of these concepts evolve, uh, but in a sense it is that reversal of the role from the network provides something and you use to, uh, this is what I want to do. And I need a service, uh, thinking on a networking side to expose. So as that can be consumed. And so that clearly is playing out. Um, and as I said, automation is a key key foundation that we put in place, uh, and our customers, most of our customers at this point, uh, on these, on these products, uh, they have all the capabilities they are, they can literally take advantage. There's really nothing that stops them point. >>Well, it's good times for you because I'm sure you've seen all the memes and in social media, right. What what's driving your digital transformation is that the CEO, the CMO or COVID, and we all know the answer to the question. So I don't think the, the pace of change is going to slow down anytime soon. So keeping the network up and enabling us all to get done, what we have to get done and all the little magic that happens behind the scenes. >>Yeah. No thanks. Thanks for having me. And again, yeah. If you're listening and you're wondering, how do I get started Cisco? Definitely just the place to go. It's fantastic. Fantastic. I highly recommend everybody roll up his sleeves and you know, the best races you can have. >>And we know once the physical events come back, we've been to dev net create a bunch of times, and it's a super vibrant, super excited, but really engaged community sharing. Lots of information is kind of, it's still kind of that early vibe, you know, where everyone is still really enthusiastic and really about learning and sharing information. So, you know, like say Susie and the team are really built a great thing, and we're a, we're happy to continue to cover it. And eventually we'll be back, uh, face to face. I look forward to that as well. All right, thanks. Uh, he's Thomas I'm Jeff, you're watching continuing coverage of Cisco dev net accelerating with automation and programmability >>Kia. Nini is here. He's a distinguished engineer at Cisco TK, my friend. Good to see you again. How are you? Good. I mean, you and I were in Barcelona in January and, you know, we knew we saw this thing coming, but we didn't see it coming this way. Did we know that no one did, but yeah, that was right before everything happened. Well, it's weird. Right? I mean, we were, you know, we, we, it was in the back of our minds in January, we sort of had Barcelona's hasn't really been hit yet. It looked like it was really isolated in China, but, uh, but wow, what a change and I guess, I guess I'd say I'd start with the, we're seeing really a secular change in, in your space and security identity, access management, cloud security, endpoint security. I mean, all of a sudden these things explode as the work from home pivot has occurred, and it feels like these changes are permanent or semi-permanent, what are you seeing out there? >>I don't think anybody thinks the world's going to go back the way it was. Um, to some degree it's, it's changed forever. Um, you know, I, I, I do a lot of my work remotely. Um, and, and so, you know, being a remote worker, isn't such a big deal for me, but for some, it was a huge impact. And like I said, you know, um, remote education, you know, everybody's on the opposite side of a computer. And so the digital infrastructure has just become a lot more important to protect the integrity of it essentially is almost our own integrity these days. Yeah. And when you see that, you know, that work from home pivot, I mean, you know, our estimates are, or along with our partner, DTR about 16% of the workforce was at home working from home prior to COVID and now it's know, North of 70% >>Plus, and that's going to come down maybe a little bit over the next, next six months. We'll see what happens with the fall surge, but, but people essentially accept, expect that to at least double that 16%, you know, going forward indefinitely. So how, what does that, what kind of pressure does that put on the security infrastructure and how, how organizations are approaching security? >>Yeah, I, I just think, uh, from a mindset standpoint, you know, what was optional, uh, maybe, um, last year, uh, is no longer optional and I don't think it's going to go back. Um, I think, I think a lot of people, uh, have changed the way, you know, they live and the way they work. Um, and they're doing it in ways, hopefully that, you know, in some cases, uh, yield more productivity, um, again, um, you know, usually with technology that's severely effective, it doesn't pick sides. So the security slant to it is it frankly works just as well for the bad guys. And so that's, that's the balance we need to keep, which is we need to be extra diligent, uh, on how we go about securing infrastructure, uh, how we go about securing even our, our social channels, because remember all our social channels now are digital. So that's, that's become the new norm. >>You know, you've helped me understand over the years. I remember a line you shared with me in the cube one time is that the adversary is highly capable as sort of the, of the phrase that you used. And, and essentially the way you describe it, as you know, your job as a security practitioner is to decrease the bad guy's return on investment, you know, increase their costs, increase the numerator, but as, as work shifts from home, yeah, I'm in my house, you know, my wifi in my, you know, router with my, you know, dog's name is the password, you know, it's much, much harder for me to, to increase that denominator at home. So can you help? >>Yeah. I mean, it's, it is, it is truly, um, when you think, when you get into the mind of the adversary and, and, uh, you know, the cyber crime out there, they're honestly just like any other business they're trying to operate with high margin. And so if you can get there, if you can get in there and erode their margin, frankly go find something else to do. Um, and, and again, you know, you know, the shift we experienced day to day is it's not just our kids are online in school and, uh, our work is online, but all of the groceries we order, um, you know, this Thanksgiving and holiday season, uh, a lot more online shopping is going to place. So everything's gone digital. And so the question is, you know, how, how do we up our game there so that we can go about our business, uh, effectively. And I make it very expensive for the adversary to operate, uh, and take care of their business. Cause it's nasty stuff. >>I want to ask you about automation generally, and then specifically how it applies to security. So we, I mean, we certainly saw the ascendancy of the hyperscalers and of course they really attacked the it labor problem. We learned a lot from that and an it organizations have applied much of that thinking. And it's critical at scale. I mean, you just can't scale humans at the pace, the technology scales today, how does that apply to security and specifically, how is automation affecting security? >>Yeah, it's, it's, it's the topic these days. Um, you know, businesses, I think, realize that they can't continue to grow at human scale. And so the reason why automation and things like AI and machine learning have a lot of value is because everyone's trying to expand, uh, and operate at machine scale. Now, I mean that for, for businesses, I mean that for, you know, education and everything else now, so are the adversaries, right? So it's expensive for them to operate at Cuban scale and they are going to machine scale, going to machine scale, uh, a necessity is that you're going to have to harness some level of automation, have the machines, uh, work on your behalf, have the machines carry your intent. Um, and when you do that, um, you can do it safely or you could do it dangerously. And that that's really kind of your choice. Um, you know, just because you can automate something doesn't mean you should, um, you, you wanna make sure that frankly, the adversary can't get in there and use that automation on their behalf. So it's, it's a tricky thing because, you know, if, when you take the phrase, you know, uh, how do we, how do we automate security? Well, you actually have to, uh, take care of, of securing the automation first. >>Yeah. We talked about this in Barcelona, where you were explaining that, you know, the, the bad guys, the adversaries are essentially, you know, weaponizing using your own tooling, which makes them appear safe because it's, they're hiding in plain sight. >>Well, there's, they're clever, uh, give them that, um, you know, that there's this phrase that they, they always talk about called living off the land. Um, there's no sense in them coming into your network and bringing their tools and, uh, and being detective, you know, if they can use the tools that's already there, then, uh, they have a higher degree of, of evading, uh, your protection. If they can pose as Alice or Bob, who's already been credentialed and move around your network, then they're moving around the network as Alice or Bob. They're not marked as the adversary. So again, you know, having the detection methods available to find their behavior anomalies and things like that become a paramount, but also, you know, having the automation to contain them, to eradicate them, to, you know, minimize their effectiveness, um, without it, I mean, ideally without human interaction, cause you, you just, can you move faster, you move quicker. Um, and I, I see that with an asterisk because, um, if, if done wrong, frankly, um, you're just making their job more effective. >>I wonder if we could talk about the market a little bit, uh, it's I'm in the security space, cybersecurity 80 plus billion, which by the way, is just a little infant Tessa mill component of our GDP. So we're not spending nearly enough to protect that massive, uh, GDP, but guys, I wonder if you could bring up the chart because when you talk to CSOs and you ask them, what's your, what's your biggest challenge? Let's say lack of talent. And, and so what this chart shows is from ETR, our, our, our survey partner and on the vertical axis is net score. And that's an indication of spending momentum on the horizontal axis is market share, which is a measure of presence, a pervasiveness, if you will, inside the data sets. And so there's a couple of key points here. I wanted to put forth to our audience and then get your reactions. >>So you can see Cisco, I highlighted in red, Cisco is business and security is very, very strong. We see it every quarter. It's a growth area that Chuck Robbins talks about on the, on the conference call. And so you can see on the horizontal axis, you've got, you know, big presence in the data set. I mean, Microsoft is out there, but they're everywhere, but you're right there in that, in that data set. And then you've got for such a large presence, you've got a lot of momentum in the marketplace, so that's very impressive. But the other point here is you've got this huge buffet of options. There's just a zillion vendors here. And that just adds to the complexity. This is of course only a subset of what's in the security space. You know, the people who answered for the survey. So my question is how can Cisco help simplify this picture? Is it automation? Is it, you know, you guys have done some really interesting tuck in acquisitions and you're bringing that integration together. Can you talk about that a little bit? >>Yeah. I mean, that's an impressive chart. I mean, when you look to the left there it's, um, I had a customer tell me once that, you know, I came to this trade show, looking for transportation, and these people are trying to sell me car parts. Um, that's the frustration customers have, you know, and I think what Cisco has done really well is to really focus on the outcomes. Um, what is the customer outcome? Cause ultimately that's, that is what the customer wants. You know, there might be a few steps to get to that outcome, but the closest you can closer, you can get to delivering outcomes for the customer, the better you are. And I think, I think security in general has just year over year have been just written with, um, you need to be an expert. Um, you need to buy all these parts and put it together yourself. And, and I think, I think those days are behind us, but particularly as, as security becomes more pervasive and we're, you know, we're selling to the business, we're not selling to the, you know, t-shirt wearing hacker anymore. >>Yeah. So, well, well, how does cloud fit in here? Because I think there's a lot of misconceptions about cloud people that God put my data in the cloud I'm safe, but you know, of course we know it's a shared responsibility model. So I'm interested in your, your thoughts on that. Is it really, is it a sense of complacency? A lot of the cloud vendors, by the way, say, Oh, the state of security is great in the cloud. Whereas many of us out there saying, wow, it's, it's not so great. Uh, so what are your thoughts on that, that whole narrative and what Cisco's play in, in cloud? >>I think cloud, um, when you look at the services that are delivered via the cloud, you see that exact pattern, which is you see customers paying for the outcome or as close to the outcome as possible. Um, you know, no, no data center required, no disk drive required, you just get storage, you know, it's, it's, it's all of those things that are again, closer to the outcome. I think the thing that interests me about cloud two is it's really been, it's really punctuated the way we go about building systems. Um, again, at machine scale. So, you know, before, when I write code and I think about what computers are gonna run on, or, you know, what servers are going to is you're going to run on those. Those thoughts never crossed my mind anymore. You know, I'm modeling the intent of what the service should do and the machines then figure it out. So, you know, for instance, on Tuesday, if the entire internet shows up, uh, the, the system works without fail. And if on Wednesday, if only North America shows up, you know, so what, but, but there's no way you could staff that, right? There's just no human scale approach that gets you there. And that's, that's the beauty of all of this cloud stuff is, um, it really is, uh, the next level of how we computer science. >>So you're talking about infrastructure as code and that applies to, you know, security as code. That's what, you know, dev net is really all about. I've said many times, I think Cisco of the, the large established enterprise companies is one of the few, if not the only, that really has figured out, you know, that developer angle, because it's practical do, you're not trying to force your way into developers, but, you know, I wonder if you could, you could talk a little bit about that trend and where you see it going. >>Yeah, no, that is, that is truly the trend. Every time I walk into dev net, um, the big halls at Cisco live, it is Cisco as code. Um, everything about Cisco is being presented through an API. It is automation ready. And, and frankly, that is, um, that is the love language of the cloud. Um, it's it's machines, if the machines talking to machines in very effective ways. So, you know, it is the, the, uh, I, I think, I think necessary, maybe not sufficient but necessary for, um, you know, doing all the machine scale stuff. What what's also necessary, uh, is to, um, to secure if, if infrastructure is code therefore, um, what, what secure, uh, what security methodologies do we have today that we use to secure code while we have automated testing, we have threat modeling, right? Those things actually have to be now applied to infrastructure. So when I, when I talk about how do you do, uh, automation securely, you do it the same way you secure your code, you test it, you, you threaten model, you, you, you say, you know, Ken, my adversary, uh, exhibit something here that drives the automation in a way that I didn't intend it to go. Um, so all of those practices apply. It's just, everything is code these days. >>I've often said that security and privacy are sort of two sides of the same coin. And I want to ask you a question and it's really, to me, it's not necessarily Cisco and company likes companies like Cisco's responsibility, but I wonder if there's a way in which you can help. And of course, there's this Netflix documentary circling around the social dilemma. I don't know if you have a chance to see it, but basically dramatize is the way in which companies are appropriating our data to sell us ads and, you know, creating our own little set of facts, et cetera. And that comes down to sort of how we think about privacy and admin. It's good from the standpoint of awareness, you know, you may or may not care if you're a social media user. I love tick doc. I don't care, but they sort of laid out this pretty scary scenario with a lot of the inventors of those technologies. You have any thoughts on that? And you'll consist go play a role there in terms of protecting our privacy mean beyond GDPR and California consumer privacy act. Um, what do you think? >>Yeah. Um, uh, I'll give you my, you know, my humble opinion is you, you fix social problems with social tools, you fixed technology problems with technology tools. Um, I think there is a social problem. Um, uh, that needs to be rectified the, you know, um, we, we, weren't built as human beings to live and interact with an environment that agrees with us all the time. It's just pretty wrong. So yeah, that, that, that, um, that series that really kind of wake up a lot of people it is, is, you know, it's probably every day I hear somebody asked me if I, I saw, um, but I do think it also, you know, with that level of awareness, I think we, we overcome it or we compensate by what number one, just being aware that it's happening. Um, number two, you know, how you go about solving it, I think maybe come down to an individual or even a community's, um, solution and what might be right for one community might be, you know, not the same for the other. So you have to be respectful in that manner. >>Yeah. So it's, it's, it's almost, I think if I could, you know, play back, what I heard is, is yeah. Technology, you know, maybe got us into this problem, but technology alone is not going to get us out of the problem. It's not like some magic AI bot is going to solve this. It's got to be, you know, society has to really, really take this on as your premise. >>When I, when I first started playing online games, I'm going back to, you know, the text based adventure stuff like muds and Mose. I did a talk at, at MIT one time and, um, this old curmudgeon in the back of the room, um, we were talking about democracy and we were talking about, you know, the social processes that we had modeled in our game and this and that. And this guy just gave us the SmackDown. He needs to be walked up to the front of the room and said, you know, all you techies, you judge efficiency by how long it takes. He says, democracy is a completely the opposite, which is you need to sleep on it. In fact, you shouldn't be scared if somebody can decide in a minute, what is good for the community? It, two weeks later, they probably have a better idea of what's good for the community. So it almost has the opposite dynamic. And that was super interesting to me, >>Really interesting, you know, you read the, like the, the Lincoln historians and he was criticized in the day for having taken so long, you know, to make certain decisions, but, you know, ultimately when he acted acted with, with confidence. Um, so to that point, but, um, so what, what else are you working on these days that, uh, that are, that is, is interesting that maybe you want to share with our audience? Anything that's really super exciting for you or are you >>Yeah. You know, generally speaking, um, try not try and make it a little harder for the bad guys to operate. I guess that's a general theme making it simpler for the common person to use, uh, tools. Um, again, you know, all of these security tools, no matter how fancy it is, it's not that we're losing the complexity, it's that we're moving the complexity away from the user so that they can drive at human scale. And we can do things at machine scale and kind of working those two together is sort of the, the, the magic recipe. Um, it's, it's not easy, but, um, but it is, it is fun. So that's, that's what keeps me engaged. >>I'm definitely seeing, I wonder if you see it as just sort of a, obviously a heightened organization awareness, but I'm also seeing shifts in the organizational structures. You know, the, you know, it used to be a sec ops team and an Island. Okay, it's your problem? You know, the, the, the CSO cannot report into the, to the CIO because that's like the Fox in the hen house, a lot of those structures are, are, are changing. It seems, and be becoming a, this responsibility is coming much more ubiquitous across the organization. What are you seeing there? And what are you? >>And it's so familiar to me because, you know, um, I, I started out as a musician. So, you know, bands bands are a great analogy. You know, you play bass, I big guitar. You know, somebody else plays drums, everybody knows their role and you create something that's larger than the sum of all parts. And so that, that analogy I think, is coming to, you know, we, we saw it sort of with dev ops where, you know, the developer, doesn't just throw their coat over the wall and it's somebody else's problem. They move together as a band. And, and that's what I think, um, organizations are seeing is that, you know, why, why stop there? Why not include marketing? Why not include sales? Why don't we move together as a business? Not just here's the product and here's the rest of the business. That's, that's, that's pretty awesome. Um, I think, uh, we see a lot of those patterns, uh, particularly for the highly high performance businesses. >>You know, in fact, it's interesting, you have great analogy by the way. And you actually see in that within Cisco, you're seeing sort of a, and I know sometimes you guys don't like to talk about the plumbing, but I think it matters. I mean, you've got a leadership structure now. I I've talked to many of them. They seem to really be more focused on how their connect connecting, you know, across organizations. And it's increasingly critical in this world of, you know, of silo busters. Isn't it? >>Yeah, no, I mean, you almost, as, as you move further and further away, you know, you can see how ridiculous it was before it would be like acquiring the band and say, okay, all your guitar players go over here. All your bass players go over there. Like what happened to the band? That's what I'm talking about is, you know, moving all of those disciplines, moving together and servicing the same backlog and achieving the same successes together is just so awesome. Well, I, I always feel better after talking to you. You know, I remember I remember art. Coviello used to put out his letter every year and I was reading. I'd get depressed. We spend all this money now we're less secure. But when I talked to you TK, I feel like much more optimistic. So I really appreciate the time you spend on the cube. It's, it's awesome to have you as a guest. I love these, I love these sessions. So things thanks for inviting me and I miss you, you know, hopefully, you know, next year we can get together at some of the Cisco shows or other shows, but be well and stay weird. Like the sign says kidney, thanks so much for coming to the Q. We, uh, we really appreciate it. And thank you for watching everybody. This is Dave Volante. We've right back with our next guest. This short break, >>After the cubes coverage, just to keep virtuals coverage of dev net create virtual. We're not face to face the cubes been there with dev net and dev net create. Since the beginning, dev net create was really a part of the dev net community. Looking out at the external market outside of Cisco, which essentially is the cloud native world, which is going mainstream. We've got a great guest here. Who's, who's been the company's been on the cube. Many times. We've been talking to them recently acquired by Cisco thousand eyes. We have Joe Vaccaro is beast vice president of product. Uh, Joe, welcome to the cube. Thanks for coming on. Great. And thanks for having me. You have the keys to the kingdom, you, the vice president of product, which means you get to look inside and you get to look outside, figure it all out, uh, make everything run on thousand eyes. >>You guys have been finding common language, uh, across multiple layers of network intelligence, external services. This is the heart of what we're seeing in innovation with multi-cloud microservices, cloud native. This is really a hot area it's converged in multiple theaters and technology. Super important. I want to get into that with you, but first thousand eyes is recently acquired by Cisco, um, big acquisition, uh, super important, the new CEO of Cisco, very clear API, everything we're seeing that come out. That's a big theme at dev net create the ecosystem of Cisco's going outside their own, you know, their, their walls outside of the Cisco network operators, network engineers. We're talking to developers talking programmability. This is the big theme. What's it like at Cisco? Tell us, honestly, the COVID hits. You get acquired by Cisco, tell us what's happening. >>Yeah, it's really been an exciting six months for the entire team and customers, >>You know, as we all kind of shifted to the new normal of working from home. And I think, you know, that change alone really kind of amplified. Even some of the fundamental beliefs that we have as a company that you know, cloud is becoming the new data center or customers that Indra internet has become the new network and the new enterprise network backbone. And that SAS has really become the new application stack. And as you think about these last six months, those fundamental truths have never been more evident as we rely upon the cloud to be able to, to work as we rely upon our own home networks and the internet in order to be productive. And as we access more sized applications on a daily basis. And as you think about those fundamental truths, what's common across all of them is that you rely upon them now more than ever, not only to run your business, but to any of your employees would be productive, but you don't own them. And if you don't own them, then you lack the ability in a traditional way to be able to understand that digital experience. And I think that's ultimately what, what thousand eyes is trying to solve for. And I think it's really being amplified in really these last six months. >>Talk about the Cova dynamic because I think it highlighted and certainly accelerated digital transformation, but specifically exposes opportunities, challenges, weaknesses, I've talked to many CXOs CSOs. Uh, sec security is huge. Um, the home of the conference book talk track we'll get to in a second, but it exposes what's worth doubling down on what to abandoned from a project standpoint, as people start to look at their priorities, they're going, Hey, we got to have a connected experience. We got to have security. People are working at home. No one has VPNs at home. VPNs are passe. Maybe it's SD when maybe it's something else they're on a backbone. They're connecting to the internet, a lot of different diversity in connections. At the same time, you got a ton of modern apps running for these networks. This is a huge issue. COVID is exposed this at scale. What's your view on this? And what is thousand eyes thinking about this? >>You know, if you think about the kind of legacy application delivery, it went from largely users in an office connected over, say a dedicated corporate network, largely to traditional say internal hosted applications. And that was a early, simple, uh, connectivity bath. And as you mentioned, we've seen amplifications in terms of the diversity from the users. So users are not in the office. Now they're connected in distributed disparate locations that are dynamically changing. And you think that how they're getting to that application, they're going across a really complex service chain of different network services that are working together across as public internet backbone will totally to land them on an application. And then those applications themselves are becoming now, as you mentioned, distributed largely based upon a microservices architecture and increasing their own dependence upon third party sample size applications to fulfill say, functions of that application, those three things together. >>Ultimately you're creating that level level of complex service chain that really makes it difficult to understand the digital experience and ultimately the it organization newly chartered with not just delivering the infrastructure, but delivering the right experience. And you then have a way to be able to see, to gain that visibility, that experience, you know, to measure it and understand, and to provide that intelligence and then ultimately to act on it, to be able to ensure that your employees, as well as your customers are getting the right overall, um, approach to being able to leverage those assets. >>It's funny, you know, as you get into some of these high-scale environments, a lot of these concepts are converging. You know, we had terms like automation, self healing networks. Um, you mentioned microservices early, you mentioned data at the clouds, the new data center, uh, or when's the new land. However, we're going to look at it. It's a whole different architecture. So I want to get your thoughts on, on the automation piece of networking and internet outages, for instance, um, because when you, you know, there's so many outages going up and down, it is like, uh, catching, looking for a needle in a haystack, right. So, um, we've had this conversation with you guys on the cube before, how does automation occur when you guys look at those kinds of things? Uh, what's important to look at, can you comment on and react to, you know, the internet outages and how you find resolve those? >>Yeah. It's um, it was really great. And as you mentioned, automation really in a place that a key, when you think about the, just a broad problem that it is trying to drive and, you know, from our lens, we look at it in really three ways. First off is you have to be able to gain the level of visibility from where it matters and be able to, to test and be able to provide that level of active measurements across the, the type of ways you want to be able to inspect the network. But then also from the right vantage points, you want to inspect it. But what we talk about right inside, you know, data, um, alone, doesn't solve that problem. As you mentioned, that needle in the haystack, you know, data just provides the raw metrics that are screaming across the screen. You have to then enable that data to provide meeting. >>You need to enable that data become intelligent. And that intelligence comes through the automation of being able to process that data very quickly, allow you to be able to see the unseen, to allow you to be able to quickly understand the issues that are happening across this digital supply chain to identify issues that are even happening outside of your own control across the public internet. And then the last step of automation really comes in the form of the action, right? How do you enable that intelligence to be put, to use? How do you enable that intelligence to then drive across the rest of your it workflow as well as to be able to be used as a signaling engine, to be able to then make the fundamental changes back at the network fabric, whether that is a dressing or modifying your BGB pairing, that we see happen within our customers using thousand eyes data, to be able to route around major internet outages that we've seen over the past six months, or to be able to then that data, to be able to optimize the ultimate experience that they're delivering to both our customers, as well as our employees, >>Classic policy based activity, taking it to a whole nother level. I got to get your thoughts on the employees working at home. Okay. Because, um, you know, most it, people are like, Oh yeah, we're going to forecast in cases of disruption or a hurricane or a flood or hurricane Sandy, but now with COVID, everyone's working at home. So who would have forecasted a hundred percent, um, you know, work from home, which puts a lot of pressure on him, everything. So I got to ask you, now that employees are working at home, how do you tie network visibility to the actual user experience? >>Yeah, that's a great question. As you, you know, we saw it within our own customer base, you know, when COVID head and we saw this rise of work from home, it teams were really scrambling and said, okay, I have to light up this, say VPN infrastructure, or I need to now be able to support my users in a work from home situation where I don't control the corporate network. In essence, now you have essentially thousands. Every employee is acting across their own corporate network and people were then using thousand eyes in different ways to be able to monitor their CTPs infrastructure across, back into the corporate network, as well as in using our thousand eyes end point agents that runs on a local, a user's laptop or machine in their home to help you to be able to gain that visibility down to that last mile of connectivity. >>Because when a user calls up support and says, I'm having trouble say accessing my application, whether that's Salesforce or something else, what ultimately might be causing that issue might not necessarily be a Salesforce issue, right? It could be the device in the device performance in terms of CPU, memory utilization. It could be the wifi and the signal quality within your wifi network. It could be your access point. It could be your raw, local home router. It can be your local ISP. It could be the path that you're taking ultimately to your corporate network or that application. There's so many places that could go wrong that are now difficult to be able to see, unless you have the ability to see comprehensively from the user to the application, and to be able to understand that full end to end path, >>You know, it teams have also been disrupted. They've been on offsite prop off property as well, but you've got the cloud. How has your technology helped the it teams? Can you give some examples there? Um, >>Yeah, a great way is, you know, how people use thousand eyes as part of that data sharing ecosystem. Again, that notion of how do you go from visibility to intelligence action and where in the past you might be able as an it administrator to walk over to their network team and say, Hey, can you take a look at what I'm seeing now? That's no longer available. So how do you be able to work efficiently as the United organization? You know, we think a thousand eyes in how our customers are using us a thousand times becomes a common operating language that allows them to be able to analyze across from the application down into the underlying infrastructure, through those different layers of the network what's happening. And where do you need to focus your attention? And then furthermore, with 10,000 eyes in terms of a need, enabling that data sharing ecosystem, leveraging our share link capability really gives them the ability to say, you know, what, here's what I'm seeing and be able to send that to anybody within the it organization. But it goes even further and many times in recent times, as well as over the course of people using thousand eyes, they take those share links and actually send them to their external providers because they're not just looking to resolve issues within their own it organization. They're having to work collaboratively with a different ISP. If they're pairing with, with their cloud providers that they're appearing, uh, they're leveraging, or the SAS applications that are part of that core dependency of how they deliver their experience. >>I asked you the question, we think about levels of visibility and making the lives easier for it. Teams. Um, you see a lot of benefits with thousand eyes. You pointed out a few of them just got to ask you the question. So if I'm an it person I'm in the trenches, are you guys have, uh, an aspirin or a vitamin or both? Can you give an example because there's a lot of pain point out there. So yeah. Give me a cup, a couple Advils and aspirins, but also you're an enabler to the new things are evolving. You pointed out some use case. You talk about the difference between where you're helping people pain points and also enabling them be successful for it teams. >>Yeah, that's a great analogy. You're thinking it, like you said, it definitely sits on both sides of that spectrum, you know, thousand eyes is the trusted tool, the source of truth for it. Organizations when issues are happening as their alarm bells are ringing, as they are generating the, um, the different, uh, on call, uh, to be able to jump into a war situation thousand eyes is that trusted source of truth. Allow them to focus, to be able to resolve that issue in the heat of the moment. But that was a nice also when we think about baselining, your experience, what's important is not understanding that experience at that moment at time, but also how that's deviated over time. And so by leveraging thousand eyes on a continuous basis, it gives you that ability to see the history of that experience, to understand how your network is changing is as you mentioned, networks are constantly evolving, right? >>The internet itself is constantly changing. It's an organic system, and you need to be able to understand not only what are the metrics that are moving out of your bounds, but then what is potentially the cause of that as a network has evolved. And then furthermore, you can be begin to use that as you mentioned, in terms of your vitamin type of an analogy, to be able to understand the health of your system over time on a baseline basis so that you can begin to, uh, be able to ensure its success in a great way to really kind of bring that to light. As people using say, thousand eyes as part of the same se land-based rollout, where you're looking to say benchmark, and you can confidence as you look to scale out in either, you know, benchmarking different ESPs within that, I feel like connectivity for as you look to ensure a level of success with a single branch, give you that competence to then scale out to the rest of your organization. >>That's great insights. The classic financial model ROI got baseline and upside, right? You got handle the baseline as you pointed out, and the upside music experience connectivity, you know, application performance, which drives revenue, et cetera. So great point. Great insight, Joe. Thank you so much for that insight. It's got a final question for you. I want to just riff a little bit with you on the industry. A lot of us have been having debates about automation and who doesn't, who doesn't love automation. Automation is awesome, right? Automate things, but as the trend starts going on, as everything is a service or X, a S as it's called, certainly Cisco's going down that road. Talk about your view about the difference between automation and everything is a service because at the end of the day, everything will be a service, but without automation, you really can't have services, right? So, you know, automation, automation, automation, great, great drum to bang all day long, but then also you got the same business side saying as a service, as a service, pushing that into the products, it means not trivial. Talk about, talk about how you look at automation and everything as a service and the relationship and interplay between those two concepts. >>Yeah. Ultimately I think about in terms of what is the problem that the business is trying to solve in ultimately, what is the deal that they're trying to face? And in many ways, right, they're being exploded with increase of data that needs, they need to be able to not only process and gather, but then be able to then make use of, and then from that, as we mentioned, once you've processed that data and you've said, gather the insights from it. You need to be able to then act on that data. And automation plays a key role of allowing you to be able to then put that through your workflow. Because again, as that, it experience becomes even more complex as more and more services get put into that digital supply chain. As you adopt say increased complexity within your infrastructure, by moving to a multicloud architecture where you look to increase the number of say, network services that you're leveraging across that digital experience. >>Ultimately you need with the level of automation, you'll be able to see outside of your own vantage point. You need to be able to look at the problem from as broad of a, a broad of a way as possible. And, you know, data and automation allows you to be able to do what is fundamentally difficult to do from a very narrow point of view, in terms of the visibility you gather intelligence you generate, and then ultimately, how do you act on that data as quick as possible to be able to provide the value of what you're looking for. >>It's like a feature it's under the hood. The feature of everything comes to the surface is automation, data, machine learning, all the goodness in the software. I mean, that's really kind of what we're talking about here. Isn't it a final question for you as we wrap up, uh, dev net create really, again, is going beyond Cisco's dev net community going into the industry ecosystem where developers are there. Um, these are folks that want infrastructure as code. They want network as code. So network programmability, huge topic. We've been having that conversation, uh, with Cisco and others throughout the industry for the past three years. What's your message to developers out there that are watching this who say, Hey, I just want to develop code. Like I want, you know, you guys got that. That was nice. Thanks so much. You know, you take care of that. I just want to write code. What's your message to those folks out there who want to tap some of these new services, these new automation, these new capabilities, what's your message. >>And ultimately, I think, you know, when you're looking at thousand eyes, um, you know, from a fraud perspective, you know, we try to build our product in an API first model to allow you to be able to then shift left of how you think about that overall experience. And from a developer standpoint, you know, what I'd say is, is that while you're developing in your silo, you're going to be part of a larger ultimate system. In your experience you deliver within your application is now going to be dependent upon not only the infrastructure that's running upon, but the network it's connected to, and then ultimately the user in the sense of that user and by leveraging that thousand eyes and being able to then integrate thousand into how you think closely on that experience, that's going to help ensure that ultimately the application experience that the developer's looking to deliver meets that objective. And I think what I would say is, you know, while you need to focus on your, uh, your role as a developer, having the understanding of how you fit into the larger ecosystem and what the reality of the, of how your users access that application is critical. >>Awesome, Joe, thank you so much. Again, trust is everything letting people understand that what's going on underneath is going to be viable and capable. You guys got a great product and congratulations on the acquisition that Cisco made of your company. We've been following you guys for a long time and a great technology chops, great market traction, congratulations to everyone, 1,009. Thanks for coming on sharing. I appreciate it. Thanks Joe Vaccaro, vice president of product here, but thousand nine is now part of Cisco, John, for your host of the cube cube virtual for dev net, create virtual. Thanks for watching. >>Even prior to the pandemic, there was a mandate to automate the hyperscale cloud companies. They've shown us that to scale. You really have to automate you human labor. It just can't keep up with the pace of technology. Now, post COVID that automation mandate is even more pressing. Now what about the marketplace? What are S E seeing on the horizon? The cubes Jeff Frick speaks with Cisco engineers to gather their insights and explore the definite specialized partner program. We've got a Coon Jacobs. He's the director of systems engineering for Cisco. >>Good to see Kuhn. >>Thank you for having me >>Joining him as Eric nip. He is the VP of system systems engineering for Cisco. Good to see Eric. Good to be here. Thank you. Pleasure. So before we jump into kind of what's going on now in this new great world of programmability and, and control, I want to kind of go back to the future for a minute because when I was doing some research for this interview, it was cool. I saw an old presentation that you were giving from 2006 about the changing evolution of the, uh, the changing evolution of networking and moving from. I think that the theme was a human centered human centered network. And you were just starting to touch a little bit on video and online video. Oh my goodness, how far we have come, but I would love to get kind of a historical perspective because we've been talking a lot and I know Eric son plays football about the football analogy of the network is kind of like an offensive lineman where if they're doing a good job, you don't hear much about them, but they're really important to everything. >>And the only time you hear about them as the women, the flag gets thrown. So if you look back with the historical perspective, the load and the numbers and the evolution of the network, as we've moved to this modern time, and, you know, thank goodness cause of COVID hit five years ago, 10 years ago, 15 years ago, you know, all of us in the information space would not have been able to make this transition. So I just, I just love to get some historical perspective cause you've been kind of charting this and mapping this for a very long time. >>Yeah. W we absolutely have. I think, you know, what you're referring to was back in the day, the human network campaign, and to your point, the load, the number of hosts that traffic that just overall, the intelligence of the network has just evolved tremendously over these last decade and a half, uh, 15 years or so. And you look at where we are now in terms of the programmable nature of the network and what that enables in terms of new degrees of relevance that we can create for the customers and how, you know, the role of it has changed entirely again, especially during this pandemic, you know, the fact that it's now as a serve as an elastic is absolutely fundamental to being able to ensure, uh, on an ongoing basis, a great customer experience. And so, uh, it's been, it's been, uh, a very interesting ride. >>And then just to close the loop, the, one of your more later interviews talking to Sylvia, your question is, are you a developer or an engineer? So it was, and, and your whole advice to all these network engineers is just, just don't jump in and start doing some coding and learning. So, you know, the focus and really the emphasis and where the opportunity to differentiate as a company is completely shifting gears over to the, you know, really software defined side. >>Oh, absolutely. So I mean, you look at how the software world and the network has come together and how we're applying now, you know, basically the same construct of CIC pipeline to network, uh, infrastructure, look at network really as, and get all of the benefits from that. And the familiarity of it, the way that our engineers have had to evolve. And that is just, you know, quite, quite significant in, in, in like the skill set. And the best thing is jump in, right. You know, dip your toe in the water, but continue to evolve that skill set. And, you know, don't, don't be shy. It's a leap of faith for some of us who've been in the industry a bit longer. We like to look at ourselves as the craftsman of the network, but now it's definitely a software centricity and programmability, right? >>So Eric, you've got some digital exhaust out there too, that I was able to dig up going back to 2002 752 page book and the very back corner of a dark dirty dusty Amazon warehouse is managing Cisco network security, 752 pages. Wow. How has security change from a time where before I could just read a book, a big book, you know, throw some protocols in and probably block a bunch of ports to the world that we live in today, where everything is connected. Everything is API driven, everything is software defined. You've got pieces of workloads spread out all over the place and Oh, by the way, you need to bake security in at every single level of the application stack. >>Yeah, no, I'm so, wow. The kudos that you, you found that book I'm really impressed. There was a thank you a little street, correct. So I want to hit on something that you, you talked about. Cause I think it's very important to, to this overall conversation. If we think about the scale of the network and Coon hit on it briefly, you talked about it as well. We're seeing a massive explosion of devices by the estimated by the end of this year, there's going to be about 27 billion devices on the global internet. That's about 3.7 devices for every man, woman and child life. And if we extrapolate that out over the course of the next decade on the growth trajectory we're on. And if you look at some of the published research on this, it's estimated there could be upwards of 500 billion devices accessing the global internet on a, on a daily basis in the primarily that, that, that is a IOT devices, that's digitally connected devices. >>Anything that can be connected will be connected, but then introduces a really interesting security challenge because every one of those devices that is accessing the global internet is within a company's infrastructure or accessing pieces of corporate data is a potential attack factor. So we really need to, and I think the right expression for this is we need to reimagine security because security is, as you said, not about parameters. You know, I wrote that book back in 2002, I was talking about firewalls and a cutting edge technology was intrusion prevention and intrusion detection. Now we need to look at security really in the, in the guys up or under the, under the, under the realm of really two aspects, the identity who is accessing the data and the context, what data is being accessed. And that is going to require a level of intelligence, a level of automation and the technologies like machine learning and automated intelligence are going to be our artificial intelligence rather are going to be table stakes because of the sheer scale of what we're trying to secure is going to be untenable under current, you know, just current security practices. I mean, the network is going to have to be incredibly intelligent and leverage again, a lot of that, uh, that AI type of data to match patterns of potential attacks and ideally shut them down before they ever cause any type of damage. >>Yeah, it's really interesting. I mean, one thing that COVID has done a bunk many things is kind of retaught us all about the power of exponential curves and how extremely large those things are and how fast they grow. We at Dave runs it on a Google cloud a couple of years ago. And I remember him talking about early days at Google when they were starting to map out kind of, as you described kind of map out their growth curves, and they just figured out they could not hire if they hired everybody, they couldn't hire enough people to deal with it. Right. So really kind of rethinking automation and rethinking about the way that you manage these things and the level, right. The old, is it a pet or is it, or is it, um, uh, part of a herd and, and I think it's interesting what you talked about, uh, con really the human powered internet and being driven by a lot of this video, but to what you just said, Eric, the next big wave, right. >>Is IOT and five G. And I think, you know, you talk about 3.7 million devices per person. That's nothing compared to right. All these sensors and all these devices and all these factories, because five G is really targeted to machine the machines, which there's a lot of them and they trade a lot of information really, really quickly. So, you know, I want to go back to you Coon thinking about this next great wave in a five G IOT kind of driven world where it's kind of like when voice kind of fell off compared to IP traffic on the network. I think you're going to see the same thing, kind of human generated data relative to machine generated data is also going to fall off dramatically as a machine generated data just skyrocket through the roof. >>Yeah, no, absolutely. And I think too, also what Eric touched on the visibility on that, and they've been able to process that data at the edge. That's going to catalyze cloud adoption even further, and it's going to, you know, make the role of the network, the connectivity of it all and the security within that crucially important. And then you look at the role of programmability within that. We're seeing the evolution going so fast. You look at the element of the software defined network in an IOT speed space. We see that we have a host Sarah that are not necessarily, um, you know, behaving like other hosts would, uh, on a network, for example, manufacturing floor, uh, production robot, or a security camera. And what we're seeing is we're seeing, you know, partners and customers employing programmability to make sure that we overcome some of the shortcomings, uh, in terms of where the network is at, but then how do you customize it in terms of the relevance that can provide, >>Um, bringing on board those, uh, those hosts in a very transparent way, and then, you know, keep, keep the agility of it and keep the speed of innovation going. >>So, Eric, I want to come back to you and shift gears kind of back to the people will leave the IOT in the machines along, along for a minute, but I'm curious about what does beat the boss. I mean, I go to your LinkedIn profile and it's just filled with congratulatory statements, but everyone's talking about beating the boss. You know, it's, it's a really, you know, kind of interesting and different way to, to motivate people, to build this new skillset in terms of getting software certifications, uh, within the Cisco world. And I just thought it was really cute the way that you, uh, clearly got people motivated, cause there's posts all over the place and they've all got their, their nice big badge or their certification, but, you know, at a higher level, it is a different motivation to be a developer versus an you're an a technician. And it's kind of a different point of view. And I just wonder if you could share, you know, some of the ways that you're, you're kind of encouraging, you know, kind of this transformation within your own workforce, as well as the partners, et cetera, and really adopting kind of almost a software first and this program kind of point of view versus, you know, I'm just wiring stuff up. >>Apparently a lot of people like to beat me. So I mean, not itself was a, was a, a, it was a great success, but you know, if we think we take a step back, you know, what is Cisco about as an organization? Um, I mean, obviously he looked back to the very early days of our vision, right? It was, it was to change the way the world worked, played, live and learn. And that you think about, and you hit on this when we were, you know, we were discussion with co with Kuhn in the early days of COVID. We really saw that play out as so much shifted from, you know, in-person type of interactions to virtual interactions in the network that, uh, that our, our customers, our partners, our employees built over the course of the last several years, the last three decades really helped the world continue to, um, to, to do business for students to continue to go to school or clinicians, to connect with patients. >>If I think about that mission to me, programmability is just the next iteration of that mission, continuing to enable the world to communicate, continuing, to enable customers, employees, uh, partners, uh, to essentially leverage the network for more than just connectivity now to leverage it for critical insight. Again, if we look at some of the, uh, some of the use cases that we're seeing for social distancing and contact tracing and network has a really important place to play there because we can pull insight from it, but it isn't necessarily an out of the box type of integration. So I look at programmability and in what we're doing with, with dev net to give relevance to the network for those types of really critical conversations that every organization is having right now, it's a way to extrapolate. It's a way to pull critical data so that I can make a decision. >>And if that is automated, or if that decision requires some type of manual intervention, regardless, we're still about connecting. And in this case, we're connecting insight with the people who need it most, right. The debit challenge we ran is really in respect for how critical this new skill set is going to be. It's not enough, like I said, just to connect the world anymore. We need to leverage that network, the network for that critical insight. And when we drove, we were, we created the beat, the boss challenge. It was really simple. Hey guys, I think this is important and I am going to go out and I'm going to achieve the certification myself, because I don't want to continue to be very relevant. I want to continue to be able to provide that insight for my customers and partners. So therefore I'm going for anybody that can get there before me. Maybe there's a little incentive tied to it and the incentive, although it's funny, we interviewed a lot of, a lot of our team who, who achieved it when incentive was secondary, they just wanted to have the bragging rights, like yeah, I beat Eric. Right? >>Right. Absolutely. No, it's a, it's it, you know, putting your money where your mouth is, right. If it's important, then why you should do it too. And, and you know, the whole, you're not asking people to do what you wouldn't do yourself. So I think there's a lot of good leadership, uh, leadership lessons there as well, but I want to extend kind of the conversation on the covert impact, right? Cause I'm sure you've seen all the social media means, you know, who's driving your digital transformation, the CEO, the CMO or COVID. And we all know the answer to the question, but you know, you guys have already been dealing with kind of an increased complexity around enterprise infrastructure world in terms of cloud and public cloud and hybrid cloud and multi cloud. And people are trying to move stuff all the way around now suddenly had this COVID moment right in, in March, which is really a light switch moment. >>People didn't have time to plan or prepare for suddenly everybody working from home. And it's not only you, but your spouse and your kids and everybody else. So I, but now we're six months plus into this thing. And I would just love to get your perspective and kind of the change from, Oh my goodness, we have to react to the light switch moment. What do we do to make sure people can, can get, get what they need when they need it from where they are a bubble, but then really moving from this is a, an emergency situation, a stop gap situation to, Hmm, this is going to extend for some period of time. And even when it's the acute crisis is over, you know, this is going to drive a real change in the way that people communicate in the way that people, where they sit and do their jobs and, and kind of how customers are responding accordingly as the, you know, kind of the narrative has changed from an emergency stop gap to this is the new normal that we really need to plan for. >>So, uh, I think, I think you said it very well. I think anything that could be digitized, any, any interaction that could be driven virtually was, and what's interesting is we, as you said, we went from that light switch moment where I, and I believe the status, this, and I'll probably get number wrong, but like in the United States here at the beginning, at the end of February, about 2% of the knowledge worker population was virtual, you know, working from home or in a, in a remote work environment. And over the course of about 11 days, that number went from 2% to 70%. Wow. Interesting that it worked, you know, there was a lot of hiccups along the way, and there was a lot of organizations making really quick decisions on how do I enable VPN scale of mass? How do I leverage, uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, much faster now that as you said, that we kind of gotten out of the fog of, of, of war for our fog of battle organizations are looking at what they accomplished. >>And it was nothing short of Herculean and looking at this now from a transition to, Oh my gosh, we need to change too. We have an opportunity to change. And we're looking, we see a lot of organizations specifically around, uh, financial services, healthcare, uh, the, uh, the K through 20, uh, educational environment, all looking at how can they do more virtually for a couple of reasons. Obviously there is a significant safety factor. And again, we're still in that we're still on the height of this pandemic. They want to make sure their employees, their customers, students, patients remain safe. But second, um, we've found in, in discussions with a lot of senior it executives that our customers, that people are happier working from home, people are more productive working from home. And that, again, the network that's been built over the course of the last few decades has been resilient enough to allow that to happen. >>And then third, there is a potential cost savings here outside of people. The next most expensive resource that organizations are paying for is real estate. If they can shrink that real estate footprint while providing a better user experience at the locations that they're maintaining, again, leveraging things like location services, leveraging things like a unified collaboration. That's very personalized to the end user's experience. They're going to do that. And again, they're going to save money. They're going to have happier employees and ultimately they're going to make their, uh, their employees and their customers a lot safer. So we see, we believe that there is in some parts of the economy, a shift that is going to be more permanent and some estimates put it as high as 15% of the current workforce is going to stay in there in a virtual or a semi virtual working environment for the foreseeable future. >>And I, and I, and I would say, I'd say 15% is low, especially if you, if you qualify it with, you know, part time, right. I, there was a great interview we were doing and talking about working from home, we used to work from home as the exception, right? Cause the cable person was coming, are you getting a new washing machine or something where now that's probably getting, you know, in many cases we'll shift to the other where I'm generally gonna work from home unless, you know, somebody is in town or having an important meeting or there's some special collaboration that drives me to be in. But you know, I want to go back to you Kuhn and, and really doubled down on, you know, I think most people spent too much time focusing, especially, we'll just say within the virtual events base where we play on the things you can't do virtually, we can't meet in the hall. >>We can't grab a quick coffee and a drink instead of focusing on the positive things like we're accomplishing right here, you're in Belgium, right. Eric is in Ohio, we're in California. Um, and you know, we didn't take three days to, to travel and, and check into a hotel and all that stuff to get together, uh, for this period of time. So there's a lot of stuff that digital enables. And I think, you know, people need to focus more on that versus continuing to focus on the two or three things that, that it doesn't replace and it doesn't replace those. So let's just get that off the table and move on with our lives. Cause those aren't coming back anytime soon. >>No, totally. I think it's the balance of those things. It's guarding the fact that you're not necessarily working for home. I think the trick there is you could be sleeping at the office, but I think the positives are way, way more outspoken. Um, I, you know, I look at myself, I got much more exercise time in these last couple of months than I usually do because you don't travel. You don't have the jet lag and the connection. And then you talked about those face to face moments. I think a lot of people are in a way, um, wanting to go back to the office part time as, as Eric also explained. But a lot of it you can do virtually we have virtual coffees with team or, you know, even here in Belgium, our, our local general manager has a virtual effort. TIF every Friday obviously skipped the one this week. But, uh, you know, there's, there's ways to be very creative with the technology and the quality of the technology that the network enables, um, you know, to, to get the best of both worlds. Right? >>So I just, we're going to wrap the segment. I want to give you guys both the last word you both been at Cisco for a while and, you know, Susie, we, and the team on dev net has really grown this thing. I think we were there at the very beginning couple of four, five, six years ago. I can't keep track of time anymore, but you know, it's really, really grown and, you know, the timing is terrific to get into this more software defined world, which is where we are. I wonder if you could just, you know, kind of share a couple thoughts as you know, with a little bit of perspective and you know, what you're excited about today and kind of what you see coming down the road since you guys have been there for a while you've been in this space, uh, let's start with Yukon. >>I think the possibility it creates, I think really programmability software defined is really about the art of the possible it's what you can dream up and then go code. Um, uh, Eric talked about the relevance of it and how it maximizes that relevance on a customer basis. Um, you know, and then it is the evolution of, of the teams in terms of the creativity that they can bring to it. Uh, we're seeing really people dive into that and customers, um, co-creating with us. And I think that's where we're going in terms of like the evolution of the value proposition there in terms of what technology >>Can provide, but also how it impacts people. Has it been discussed and redefines process? >>I love that the art of the possible, which is a lot harder to execute in a, in hardware than software certainly takes a lot longer. I'd love to get your, uh, your thoughts. >>Absolutely. So I started my career at Cisco, uh, turning, uh, putting IP phones onto the network. And back then, you know, it was, you know, 2001, 2002, when, uh, the idea of putting telephones onto the network was such a, um, just such an objectionable idea. And so many purists were telling us all the reasons it wouldn't work. Now, if we go forward again, 19 years, the idea of not having them plugging into the network is a ridiculous idea. So we have a, we're looking at an inflection point in this industry, and it's really, it's not about programming. It's not necessarily about programming. It's about doing it smarter. It's about being more efficient. It's about driving automation, but again, it is, it's about unlocking the value of what the network is. We've moved so far past. What can, you know, just connectivity, the network touches everything and it's more workload moves to the cloud is more workload moves to things like containers. >>Um, the network is the really, the only common element that ties all of these things together. The network needs to take its rightful place, uh, in the end, the, it lexicon as being that critical or that poor critical insight provider, um, for, for how users are interacting with the network, how users are interacting with applications, how applications are interacting with them in another program, ability is a way to do that more efficiently, uh, with greater a greater degree of certainty with much greater relevance into the overall delivery of it services and digitization. So to me, I think we're going to look back 20 years from now, probably even 10 and say, man, we used to configure things manually. What was that like? And I think, I think really this is, this is the future. And I think we want to be aligned with where we're going versus where we've been. >>All right. Well, Coon, Eric, thank you for, for sharing your perspective. You know, it's, it's really nice to have, you know, some historical reference, uh, and it's also nice to be living in a new age where you can, you can, you know, stay at the same company and, and still refresh, you know, new challenges, new opportunities and grow this thing. Cause as you said, I remember those IP first IP phone days and I thought, well, mob bell must be happy because the old mother's day problem is finally solved when we don't have to have a dedicated connection between every mother and every child in the middle of may. So good news. So thank you very much for sharing your, uh, your insights and really, uh, really enjoyed the >>Thank you. >>We've been covering dev net create for a number of years. I think since the very first show and Susie, we and the team really built a practice, built a company, built a lot of momentum around software in the Cisco ecosystem and in getting devs really to start to build applications and drive kind of the whole software defined networking thing forward. And a big part of that is partners and working with partners and, and developing solutions and, you know, using brain power, that's outside of the four walls of Cisco. So we're excited to have, uh, our next guest, uh, a partner for someone is Brad Hoss. He is the engineering director for dev ops at Presidio, Brad. Great to see you. >>Hey Jeff, great to be here. >>Absolutely. And joining him is Chuck Stickney. Chuck is the business development architect for Cisco dev net partners. And he has been driving a whole lot of partner activity for a very long period of time. Chuck, great to see you. >>Thanks Jeff. Great to be here and looking forward to this conversation. >>Absolutely. So let's, let's start with you Chuck, because I think, um, you know, you're leading this kind of partner effort and, and you know, software defined, networking has been talked about for a long time and you know, it's really seems to be maturing and, and software defined everything right. Has been taking over, especially with, with virtualization and moving the flexibility and the customer program ability customability in software and Mo and taking some of that off the hardware. Talk about, you know, the programs that you guys are putting together and how important it is to have partners to kind of move this whole thing forward, versus just worrying about people that have Cisco badges. >>Yeah, Jeff, absolutely. So along this whole journey of dev net where we're, we're trying to leverage that customization and innovation built on top of our Cisco platforms, most of Cisco's businesses transacted through partners. And what we hear from our customers and our partners is they want to, our customers want to way to be able to identify, does this partner have the capabilities and the skills necessary to help me go down this automation journey I'm trying to do, do a new implementation. I want to automate that. How can I find a partner to, to get there? And then we have some of our partners that have been building these practices going along the step in that journey with us for the last six years, they really want to say, Hey, how can I differentiate myself against my competitors and give an edge to my customers to show them that, yes, I have these capabilities. I've built a business practice. I have technology, I have technologists that really understand this capability and they have the net certifications to prove it, help me be able to differentiate myself throughout our ecosystem. So that's really what our Danette partner specialization is all about. >>Right. That's great. And Brad, you're certainly one of those partners and I want to get your perspective because partners are oftentimes a little bit closer to the customer cause you've got your kind of own set of customers that you're building solutions and just reflect on, we know what happened, uh, back in March 15th, when basically everybody was told to go home and you can't go to work. So, you know, there's all the memes and social media about who, you know, who pushed forward your digital transformation, the CEO, the CMO or COVID. And we all know what the answer is, whatever you can share some information as to what happened then, and really for your business and your customers, and then reflect now we're six months into it months plus, and, and you know, this new normal is going to continue for a while. How's the customer attitudes kind of changed now that they're kind of buckled down past the light switch moment and really we need to put in place some foundation to carry forward for a very long time potentially. >>Yeah, it's really quite interesting actually, you know, when code first hit, we got a lot of requests to help with automation of provisioning our customers and in the whole digital transformation got really put on hold for a little bit there and I'd say it became more of, of the workplace transformation. So we were quickly, uh, you know, migrating customers to, you know, new typologies where instead of the, the, you know, users sitting in those offices, they were sitting at home and we had to get them connected rapidly in a, we have a lot of success there in those beginning months with, you know, using automation and programmability, um, building, you know, provisioning portals for our customers to get up and running really fast. Um, and that, that, that was what it looked like in those early days. And then over time, I'd say that's the asks from our customers has started to transition a little bit. >>You know, now they're asking, you know, how can I take advantage of the technology to, you know, look at my offices in a different way, you know, for example, you know, how many people are coming in and out of those locations, you know, what's the usage of my conference rooms. Um, are there, uh, are there, um, situations where I can use that information? Like how many people are in the building and at a certain point in time and make real estate decisions on that, you know, like, do I even need this office anymore? So, so the conversations have really changed in ways that you couldn't have imagined before March. Right. >>And I wonder with, with you Chuck, in terms of the Cisco point of view, I mean, the network is amazing. It had had, COVID struck five years ago, 10 years ago, 15 years ago, you know, clearly there's a lot of industries that are suffering badly entertainment, um, restaurant, business, transportation, they, you know, hospitality, but for those of us in kind of the information industry, the switch was pretty easy. Um, you know, and, and the network enables the whole thing. And so I wonder if, you know, kind of from your perspective as, as suddenly, you know, the importance of the network, the importance of security and the ability now to move to this new normal very quickly from a networking perspective. And then on top of that, having, you know, dev net with, with the software defined on top, you guys were pretty much in a good space as good as space as you could be given this new challenge thrown at you. >>Yeah, Jeff, we completely agree with that. A new Cisco has pushed the idea that the network is transformational. The network is the foundation, and as our customers have really adopted that message, it is enabled that idea for the knowledge workers to be able to continue on. So for myself, I've, I've worked for home the entire time I've been at Cisco. So the last 13 years, this is, you know, the, the change to the normalcy is I never get on a plane anymore, but my day to day functions are still the same. And it's built because of the capabilities we have with the network. I think the transition that we've seen in the industry, as far as kind of moving to that application type of economy, as we go to microservices, as we go to a higher dependency upon cloud, those things have really enabled the world really to be able to better respond to this, to this COVID situation. And I think it's helped to, to justify the investments that's that our customers have made as well as what our partners have been, being able to do to deliver on that multicloud capability, to take those applications, get them closer to the end user instead of sitting in a common data center and then making it more applicable to, to users wherever they may be, not just inside of that traditional form. >>Right. Right. It's interesting that Brad, you, you made a comment on another interview. I was watching getting ready for this one in terms of, uh, applications now being first class citizens was, was what you said. And it's kind of interesting coming from an infrastructure point of view, where before it was, you know, what do I have and what can I build on it now really it's the infrastructure that responds back to the application. And even though you guys are both in the business of, of networking and infrastructure, it's still this recognition that apps first is the way to go, because that gives people the competitive advantage that it gives them the ability to react in the marketplace and to innovate and move faster. So, you know, it's, it's a really interesting twist to be able to support an application first, by having a software defined in a more programmable infrastructure stack. >>Yeah, no doubt. And, you know, I think that the whole push to cloud was really interesting in the early days, it was like, Hey, we're going to change our applications to be cloud first. You know? And then I think the terminology changed over time, um, to more cloud native. So when we, when we look at what cloud has done over the past five years with customers moving, you know, their, their assets into the cloud in the early days that we were all looking at it just like another data center, but what it's really become is a place to host your applications. So when we talk about cloud migrations with our customers now, we're, we're no longer talking about, you know, the assets per se, we're talking about the applications and what did those applications look like? And even what defines an application right now, especially with the whole move to cloud native and microservices in the automation that helps make that all happen with infrastructure as code. >>You're now able to bundle the infrastructure with those applications together as a single unit. So when you define that application, as infrastructure, as code the application in this definition of what those software assets for the infrastructure are, all are wrapped together and you've got change control, version control, um, and it's all automated, you know, it's, it's a beautiful thing. And I think it's something that we've all kind of hoped would happen. You know, in, when I look back at the early definitions of software defined networking, I think everybody was trying to figure it out and they didn't really fully understand what that meant now that we can actually define what that network infrastructure could look like as it's, as it's wrapped around that application in a code template, maybe that's Terraform or Ansible, whatever that might be, whatever method or tool that you're using to bring it all together. It's, you know, it's really interesting now, I think, I think we've gotten to the point where it's starting to make a lot more sense than, you know, those early days of SDN, uh we're out, you know, it was, was it a controller or is it a new version of SNMP? You know, now it makes sense it's actually something tangible. >>Right, right. But still check, as you said, right. There's still a lot of API APIs and there's still a lot of component pieces to these applications that are all run off the network that all have to fit, uh, that had to fit together. You know, we cover PagerDuty summit and you know, their whole thing is trying to find out where the, where the problems are within the very few microseconds that you have before the customer abandons their shopping cart or whatever the particular application. So again, the network infrastructure and the program ability super important. But I wonder if you could speak to the automation because there's just too much stuff going on for individual people to keep track of and they shouldn't be keeping track of it because they need to be focusing on the important stuff, not this increasing amount of bandwidth and traffic going through the network. >>Yeah, absolutely. Jeff said the bandwidth that's necessary in order to support everybody working from home to support this video conference. I mean, we used to do this sitting face to face. Now we're doing this over the internet. The amount of people necessary to, to be able to facilitate that type of traffic. If we're doing it the way we did 10 years ago, we would not scale it's automation. That makes that possible. That allows us to look higher up the ability to do that. Automatic provisional provisioning. Now that we're in microservices now, everything is cloud native. We have the ability to, to better, to better adjust, to and adapt to changes that happen with the infrastructure below hand. So if something goes wrong, we can very quickly spend something ups to take that load off where traditionally it was open up a ticket. Let me get someone in there, let me fix it. >>Now it's instantaneously identify the solution, go to my playbook, figure out exactly what solution I need to deploy and put that out there. And the network engineering team, the infrastructure engineering team, they just simply need to get notified that this happened. And as long as there's traceability and a point that Brad made, as far as you being able to go through here doing the automation of the documentation side of it. I know when I was a network engineer, one of the last things we ever did was documentation. But now that we have the API is from the infrastructure. And then the ability to tie that into other systems like an IP address management or a change control, or a trouble ticketing system, that whole idea of I made an infrastructure change. And now I can automatically do that documentation update and record. I know who did it. I know when they did it and I know what they did, and I know what the test results were even five years ago, that was fantasy land. Now, today that's just the new normal, that's just how we all operate. Right. >>Right, right. So I want to get your take on the other side, >>Cloud multicloud >>Public cloud, you know, as, as I think you said Brad, when public cloud first came out, there was kind of this, this rush into, we're going to throw everything in there then for, for, for different reasons. People decided maybe that's not the best, the best solution, but really it's horses for courses. Right. And, and I think it was pretty interesting that, that you guys are all supporting the customers that are trying to figure out where they're going to put their workloads. And Oh, by the way, that might not be a static place, right. It might be moving around based on, you know, maybe I do my initial dev and, and, and Amazon. And then when I go into production, maybe I want to move it into my data center and then maybe I'm having a big promotion or something I want to flex capability. So from, from your perspective in helping customers work through this, cause still there's a lot of opinions about what is multicloud, what is hybrid cloud and you know, it's horses for courses, how are you helping people navigate that? And what does having programmable infrastructure enable you to do for helping customers kind of sort through, you know, everybody talks about their journey. I think there's still, you know, kind of bumbling down, bumbling down paths, trying to find new things, what works, what doesn't work. And I think it's still really early days and trying to mesh all this stuff together. Yeah, >>Yeah. No doubt. It is still early days. And you know, I, I, I go back to it being application centric because, you know, being able to understand that application, when you move to the cloud, it may not look like what it used to look like when you, when you move it over there, you may be breaking parts off of it. Some of them might be running on a platform as a service while other pieces of it are running as infrastructure as service. And some of it might still be in your data center. Those applications are becoming much more complex than they used to be because we're breaking them apart into different services. Those services could live all over the place. So with automation, we really gain the power of being able to combine those things. As I mentioned earlier, those resources, wherever they are and be defined in that infrastructure as code and automation. >>But you know, aside from, I think we focus a lot about provisioning. When we talk about automation, we also have these amazing capabilities on, on the side of, uh, operations too. Like we've got streaming telemetry, and the ability to gain insights into what's going on in ways that we didn't have before, or at least in the, in, you know, in the early days of monitoring software, right? You knew exactly what that device was, where it was. It probably had a friendly name, like maybe it was, uh, something from the Hobbit right now. You've got things coming up and spinning and spinning up and spinning down, moving all over the place. In that thing. You used to know what that was. Now you have to quickly figure out where it went. So the observability factor is a huge thing that I think everybody, um, should be paying attention to attention, to moving forward with regards to when you're moving things to the cloud or even to other data centers or, you know, in your premise, I'm breaking that into microservices. >>You really need to understand what's going on. And the, you know, programmability and API APIs and, you know, yang models are tied into streaming telemetry. Now there's just so many great things coming out of this, you know, and it's all like a data structure that, that people who are going down this path and the dev net path there, they're learning these data structures and being able to rationalize and make sense of that. And once you understand that, then all of these things come together, whether it's cloud or a router or switch, um, Amazon, you know, it doesn't matter. You're on, you're all speaking a common language, which is that data structure. >>That's great. Chuck, I want to shift gears a little bit. Cause there was something that you said in another interview when I was getting ready for this one about, about in a dev net, really opening up a whole different class of partners for Cisco, um, as, as really more of a software, a software lead versus kind of the traditional networking lead. I wonder if you can put a little more color on that. Um, because clearly as you said, partners are super important. It's your primary go to market and, and Presidios, I'm sure the best partner that you have in the whole world that's and you know, you said there's some, there's some, you know, non traditional people that would not ever be a Cisco partner that suddenly you guys are playing with because of really the software lead. >>Yeah. Jeff that's exactly right. So as we've been talking to folks with dev nets and whether it'd be at one of the Cisco live events in the dev net zone or the prior dev net create events, we'll have, we'll have people come up to us who Cisco today views as a, as a customer because they're not in our partner ecosystem. They want to be able to deliver these capabilities to our customers, but they have no interest in being in the resell market. This what we're doing with the doublet that gives us the ability to bring those partners into the ecosystem, share them with our extremely large dev net community so they can get access to those, to those potential customers. But also it allows us to do partner to partner type of integration. So Brad and Presidio, they built a fantastic networking. They always have the fantastic networking business, but they've built this fantastic automation business that's there, but they may come into, into a scenario where it's working with a vertical or working with the technology case that they may not have an automation practice for. >>We can leverage some of these software specific partners to come in there and do a joint, go to markets where, so they can go where that traditional channel partner can leverage their deep Cisco knowledge in those customer relationships that they have and bring in that software partner almost as a subcontractor to help them deliver that additional business value on top of that traditional stack, that brings us to this business outcomes that the customers are looking for and a much faster fashion and a much more collaborative fashion. That's terrific. Well, again, it's a, it's, it's unfortunate that we can't be in person. I mean, the, the Cisco dev net shows, you know, they're still small, they're still intimate. There's still a lot of, uh, information sharing and, you know, great to see you. And like I said, we've been at the computer museum, I think the last couple of years and in, in San Francisco. So I look forward to a time that we can actually be together, uh, maybe, maybe for next year's event, but, uh, thank you very much for stopping by and sharing the information. Really appreciate it. Happy to be here from around the globe. It's the cube presenting, accelerating automation with Devin brought to you by Cisco. >>When I'm Sean for the cube, your host for accelerating automation with dev net, with Cisco, and we're here to close out the virtual event with Mindy Whaley, senior director, Mandy, take it away. >>Thank you, John. It's been great to be here at this virtual event and hearing all these different automation stories from our different technology groups, from customers and partners. And what I'd like to take a minute now is to let people know how they can continue this experience at DevNet create, which is our free virtual event happening globally. On October 13th, there's going to be some really fun stuff. We're going to have our annual demo jam, which is kind of like an open mic for demos, where the community gets to show what they've been building. We're also going to be, um, giving out and recognizing our dev net creator award winners for this year, which is a really great time where we recognize our community contributors who have been giving back to the community throughout the year. And then we find really interesting channels. We have our creators channels, which is full of technical talks, lightening talks. >>This is where our community, external Cisco people come in share what they've been working on, what they've been working learning during the year. We also have a channel called API action, which is where you can go deep into, you know, IOT or collaboration or data center automation and get demos talks from engineers on how to do certain use cases. And also a new segment called street from engineering, where you get to hear from the engineers, building those products as well. And we have a start now for those people just getting started, who may need to dive into some basics around coding, API APIs and get that's a whole channel dedicated to getting them started so that they can start to participate in some of the fun challenges that we're going to have during the event. And we're going to have a few fun things. Like we have some definite advocate team members who are awesome, musically talented. They're going to share some performances with us. So, um, we encourage everyone to join us there. Pick your favorite channel, uh, join us in whichever time zone you live in. Cause we'll be in three different time zones. And, um, we would love for you to be there and to hear from you during the event. Thanks so much. >>That's awesome. Very innovative, multiple time zones, accelerating automation with dev net. Thank you so much for watching and we'll see you at dev net create thanks for watching.
SUMMARY :
accelerating automation with damnit brought to you by Cisco. automation with dev net, because you said to me, I think four years ago, I mean, what we know is that as more and more businesses are And in order to do that, you know, the whole new tool that we've always talked about you know, not to get in the weeds, but you know, switches and hubs and wireless. kind of, you know, just, you know, blocked off rooms to really be secure And they had to, because you couldn't just go into a server room and tweak your servers, So those things, again, all dev ops and, you know, have you guys got some acquisitions, And, um, you know, going back to Todd Nightingale, right. you know, looking for those events, the dashboards, you know, so it really has, Cause you know, you got to go, but real quick, um, describe what accelerating automation with dev net It's also about people rising to the level of, you know, Thank you for your time. Thank you so much. Can you give us the update on starting to look at, you know, things like DevSecOps engineer, network, Eric, I want to go to you for a quick second on this, um, um, piece of getting the certifications. So, you know, as opposed to in person where you know, helping you answer questions, helping provide content. the stack as modern applications are building, do you see any patterns or trends around what is parameters that it departments might care about, about their firewalls, things that you do normally look at me out, okay, now I can take that and I can adapt it to what I need to see for my observability. And nonlinearly you got the certifications, which is great. who want to be able to, you know, dive into a topic, do a hands on lab, you know, read the instructions, read the manual, do the deeper learning. you know, end to end programmability and with everything as a service that you guys are doing everything with API with you at every Devin event over the past years, you know, damnit is bringing APIs across our action going on in cloud native right now, your thoughts? So, whereas it used to be, you know, confined by the walls that we were within for the event. So I think together seeing all of that and then bringing the community together Thanks so much. um, you know, we're so excited to see the people joining from all the different regions and, And we'll, we'll, we'll ride the wave with you guys. Thank you so much. Thank you so much for watching and we'll see you at dev net create thanks for watching. And Jeffrey, The cube coming to you from our Palo Alto studio with ongoing coverage of the Cisco dev data van, Hey, good to see you too. you know, especially like back in March and April with this light switch moment, which was, you know, no time to prep and suddenly Hey, I do think we all appreciate the network And you know, it, 2000 East to West, You know, it's, it's amazing to think, you know, had this happened, you know, but as I said, resiliency just became so much more important than, you know, you know, kind of how the market is changing, how you guys are reacting and really putting the things in place to you know, most people call hybrid cloud or multi-cloud, uh, in, in the end, what it is, And so really what you want to put in place is what we call like the cloud on ramp, thing, you know, as the, as we know, and we hear all the time, you know, the flows of data, the complexity of the data, And I said the tech line, I have, you know, sometimes when my mind is really going Some just, you know, I use these API APIs and use NoMo And it's funny, we, we recently covered, you know, PagerDuty and, and they highlight what And what traditional, you have a request network, operation teams executes the request Or do you say, Hey, maybe some of these security things I got to hand over the sec ups team, you know, the actual things that you do to execute that technique. None of those is really actually, you know, a little bit of credit, maybe some of us where we have a vision, Uh, and so that is emotion where in for all the, you know, Now don't have to wait for, you know, the one network person to help them out out of these environments. Uh, and that just drives then what tools do you want to have available to actually Then they have the ability to react to, uh, to some of these requirements. And that's really in the enticing, They just want to, you know, deliver business benefit to their customers and respond to, uh, network provides something and you use to, uh, this is what I want to do. Well, it's good times for you because I'm sure you've seen all the memes and in social media, know, the best races you can have. Lots of information is kind of, it's still kind of that early vibe, you know, where everyone is still really enthusiastic I mean, we were, you know, we, we, it was in the back of our minds in January, And like I said, you know, um, remote expect that to at least double that 16%, you know, Um, and they're doing it in ways, hopefully that, you know, in some cases, And, and essentially the way you describe it, as you know, your job as a security And so the question is, you know, how, how do we up our game there so that we I want to ask you about automation generally, and then specifically how it applies to security. I mean that for, for businesses, I mean that for, you know, education and everything else the, the bad guys, the adversaries are essentially, you know, weaponizing using your own Well, there's, they're clever, uh, give them that, um, you know, uh, GDP, but guys, I wonder if you could bring up the chart because when you talk to CSOs and you ask And so you can see on the horizontal axis, you've got, you know, big presence in the data set. Um, that's the frustration customers have, you know, I'm safe, but you know, of course we know it's a shared responsibility model. I think cloud, um, when you look at the services that are delivered via the cloud, out, you know, that developer angle, because it's practical do, you're not trying to force your way into for, um, you know, doing all the machine scale stuff. It's good from the standpoint of awareness, you know, you may or may not care if you're a social media user. I saw, um, but I do think it also, you know, with that level of awareness, you know, society has to really, really take this on as your premise. front of the room and said, you know, all you techies, you judge efficiency by how long it takes. for having taken so long, you know, to make certain decisions, but, you know, again, you know, all of these security tools, no matter how fancy it is, You know, the, you know, And it's so familiar to me because, you know, um, I, you know, of silo busters. So I really appreciate the time you spend on the cube. You have the keys to the kingdom, you know, their, their walls outside of the Cisco network operators, network engineers. And I think, you know, that change alone really kind of amplified. At the same time, you got a ton of modern apps running for these networks. And you think that how they're getting to that application, to be able to see, to gain that visibility, that experience, you know, to measure it and understand, It's funny, you know, as you get into some of these high-scale environments, a lot of these concepts are converging. But what we talk about right inside, you know, data, um, alone, doesn't solve that problem. to process that data very quickly, allow you to be able to see the unseen, Because, um, you know, most it, people are like, runs on a local, a user's laptop or machine in their home to help you to to see, unless you have the ability to see comprehensively from the user Can you give some examples there? And where do you need to focus your attention? So if I'm an it person I'm in the trenches, are you guys have, And so by leveraging thousand eyes on a continuous basis, it gives you that ability to see And then furthermore, you can be begin to use that as you mentioned, in terms of your vitamin type of an analogy, You got handle the baseline as you pointed out, and the upside music experience connectivity, And automation plays a key role of allowing you to be able to then put that through your workflow. you know, data and automation allows you to be able to do what is fundamentally difficult to do from a very narrow you know, you guys got that. And I think what I would say is, you know, We've been following you guys for a long time and a You really have to automate you human labor. I saw an old presentation that you were giving from 2006 And the only time you hear about them as the women, the flag gets thrown. I think, you know, what you're referring to was back in the day, the human network campaign, a company is completely shifting gears over to the, you know, really software defined side. And that is just, you know, quite, quite significant in, a book, a big book, you know, throw some protocols in and probably block a bunch of ports to And if you look at some of the published research going to be untenable under current, you know, just current security practices. And I remember him talking about early days at Google when they were starting to map out kind of, as you described kind of map out their Is IOT and five G. And I think, you know, you talk about 3.7 million devices And what we're seeing is we're seeing, you know, partners and customers employing and then, you know, keep, keep the agility of it and keep the speed of innovation going. And I just wonder if you could share, you know, some of the ways that you're, you're kind of encouraging, And that you think about, and you hit on this when we were, of that mission, continuing to enable the world to communicate, continuing, and I am going to go out and I'm going to achieve the certification myself, because I don't want to continue to And we all know the answer to the question, but you know, you guys have already been dealing with kind of an increased complexity it's the acute crisis is over, you know, this is going to drive a real change uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, And that, again, the network that's been built over the course of the last few decades has been And again, they're going to save money. the other where I'm generally gonna work from home unless, you know, somebody is in town or having an important meeting or there's some special Um, and you know, we didn't take three days to, But, uh, you know, really grown and, you know, the timing is terrific to get into this more software defined world, art of the possible it's what you can dream up and then go code. Has it been discussed and redefines process? I love that the art of the possible, which is a lot harder to execute in a, in hardware than software And back then, you know, it was, you know, 2001, 2002, And I think we want to be aligned with where we're going it's really nice to have, you know, some historical reference, uh, and it's also nice to be you know, using brain power, that's outside of the four walls of Cisco. Chuck is the business development architect for Talk about, you know, the programs that you guys are putting together and how important it is to have partners to kind and the skills necessary to help me go down this automation journey I'm trying to do, And we all know what the answer is, whatever you can share some information as to what happened then, So we were quickly, uh, you know, migrating customers to, You know, now they're asking, you know, how can I take advantage of the technology to, And then on top of that, having, you know, dev net with, So the last 13 years, this is, you know, the, the change to the normalcy is I And even though you guys are both in the business of, of networking and infrastructure, it's still this recognition now, we're, we're no longer talking about, you know, the assets per se, those early days of SDN, uh we're out, you know, it was, was it a controller or is You know, we cover PagerDuty summit and you know, Jeff said the bandwidth that's necessary in order to support everybody working And as long as there's traceability and a point that Brad made, as far as you being able to go through here doing the automation So I want to get your take on the other side, I think there's still, you know, kind of bumbling down, bumbling down paths, I go back to it being application centric because, you know, things to the cloud or even to other data centers or, you know, in your premise, And the, you know, programmability and API and Presidios, I'm sure the best partner that you have in the whole world that's and you one of the Cisco live events in the dev net zone or the prior dev net create events, There's still a lot of, uh, information sharing and, you know, great to see you. When I'm Sean for the cube, your host for accelerating automation with dev net, And then we find really interesting channels. And also a new segment called street from engineering, where you get to hear from the engineers, Thank you so much for watching and we'll see you at dev net create thanks
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Mandy | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Susie | PERSON | 0.99+ |
Sylvia | PERSON | 0.99+ |
Alice | PERSON | 0.99+ |
Susie Mandy | PERSON | 0.99+ |
John | PERSON | 0.99+ |
California | LOCATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Ohio | LOCATION | 0.99+ |
Asia | LOCATION | 0.99+ |
Belgium | LOCATION | 0.99+ |
Europe | LOCATION | 0.99+ |
Joe | PERSON | 0.99+ |
2002 | DATE | 0.99+ |
China | LOCATION | 0.99+ |
Barcelona | LOCATION | 0.99+ |
Dave Volante | PERSON | 0.99+ |
Joe Vaccaro | PERSON | 0.99+ |
Bob | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Todd | PERSON | 0.99+ |
Jeffrey | PERSON | 0.99+ |
2006 | DATE | 0.99+ |
two | QUANTITY | 0.99+ |
Jennifer | PERSON | 0.99+ |
Susie Lee | PERSON | 0.99+ |
January | DATE | 0.99+ |
India | LOCATION | 0.99+ |
March | DATE | 0.99+ |
Jeff | PERSON | 0.99+ |
Wade Lee | PERSON | 0.99+ |
Chuck Robbins | PERSON | 0.99+ |
15% | QUANTITY | 0.99+ |
October | DATE | 0.99+ |
ACCELERATING AUTOMATION WITH DEVNET full
>>Hello everyone. This is Dave Volante, and I want to welcome you to the cubes presentation of accelerating automation with Devon it in this special program, we're going to explore how to accelerate digital transformation and how the global pandemic is changing the way we work and the kinds of work that we do, the cube has pulled together experts from Cisco dev net. Now dev net is essentially Cisco as code. I've said many times in the cube that in my opinion, it's the most impressive initiative coming out of any established enterprise infrastructure company. What Cisco has done brilliantly with dev net is to create an API economy by leveraging its large infrastructure portfolio and its ecosystem. But the linchpin of dev net is the army of trained Cisco engineers, including those with the elite CC I E designation. Now dev net was conceived to train people on how to code infrastructure and develop applications in integrations. >>It's a platform to create new value and automation is a key to that creativity. So today you're going to hear from a number of experts. For example, TK key Anini is a distinguished engineer and a security pro. He's going to join us, his colleagues, Thomas Scheiber and Joe Vaccaro. They're going to help us understand how to apply automation to your data center networks, cloud, and security journeys. Cisco's Eric nip and Coon Jacobs will also be here with a look into Cisco's marketplace shifts. We'll also hear from dev net partners. Now let's kick things off with the architect of dev net, senior vice president and general manager of Cisco's dev net and CX ecosystem success. Susie, we roam around the globe. It's the cube presenting >>Decelerating automation with damnit >>Brought to you by Cisco. >>Hello and welcome to the cube. I'm Sean for a year host. We've got a great conversation, a virtual event, accelerating automation with dev net, Cisco dev net. And of course we got the Cisco brain trust here, our cube alumni, Susie wee vice president, senior vice president GM, and also CTO of Cisco dev net and ecosystem success CX, all that great stuff. Any Wade Lee, who's the director, a senior director of dev net certifications, Eric field, director of developer advocacy, Susie Mandy, Eric. Great to see you. Thanks for coming on. Great to see you, John. So we're not in first, then we don't, can't be at the dev net zone. We can't be on site doing dev net, create all the great stuff we've been doing over the past few years. We're virtual the cube virtual. Thanks for coming on. Uh, Susie, I got to ask you because you know, we've been talking years ago when you started this mission and just the success you had has been awesome, but dev net create has brought on a whole nother connective tissue to the dev net community. This is what this ties into the theme, accelerating automation with dev net, because you said to me, I think four years ago, everything should be a service or X, a AAS as it's called and automation plays a critical role. Um, could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your, what's your vision? >>Yeah, absolutely. I mean, what we know is that as more and more businesses are coming online as well, I mean, they're all online, but as they're growing into the cloud is they're growing in new areas. As we're dealing with security is everyone's dealing with the pandemic. There's so many things going on, but what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security, it has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable and you don't need just apps writing on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to higher level business processes and tie all of that up and down the staff by leveraging automation. >>You know, I remember a few years ago when dev net created for started, I interviewed Todd Nightingale and we were talking about Meraki, you know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about, then this is kind of what's going on now. And we were just recently, I think our last physical event was a Cisco, um, uh, Europe in Barcelona before all the covert hit. And you had this massive cloud surgeon scale happening going on, right when the pandemic hit. And even now more than ever the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that, um, cause the business to stay alive and to get your thoughts on, um, what's going on in your world because you were there in person now we're six months in scale is huge. >>We are. Yeah, absolutely. And what happened is as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home, can I make sure that my it infrastructure is automated out from home? Can I make sure that every employee is out there working safely and securely, you know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, uh, blocked off rooms to really be secure with their company's information. They had to work from home. >>So we had to extend business applications to people's homes, uh, in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they wouldn't let, they didn't have rules to let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate digitally, transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still all in that environment today. >>You know, one of the hottest trends before the pandemic was observability, uh, Coobernetti's serve, uh, microservices. So those things, again, all dev ops and you know, you guys got some acquisitions youth about thousand eyes. Um, um, you got a new one you just bought, um, recently port shift to raise the game and security, Kubernetes, all these microservices. So observability super hot, but then people go work at home. As you mentioned, how do you observe, what are you observing? The network is under a huge pressure. I mean, it's crashing on people's zooms and WebExes and, uh, education, huge amount of network pressure. How are people adapting to this and the app side? How are you guys looking at the what's being programmed? What are some of the things that you're seeing with use cases around this program? Ability, challenge and observability challenges. It's a huge deal. >>Yeah, absolutely. And, um, you know, going back to Todd Nightingale, right. You know, back when we talked to Todd before he had Meraki and he had designed this simplicity, this ease of use this cloud managed, you know, doing everything from one central place. And now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger, at that bigger scale for Cisco and for our customers. And he is building in the observability and the dashboards and the automation of the API APIs into all of it. Um, but when we take a look at what our customers needed is again, they had to build it all in. Um, they had to build it. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. >>All of that used to be an it conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually, you know, calling on the heads of it and the CIO and saying, you know, how's our VPN connectivity is everybody working from home, how many people are connected and able to work and what's their productivity. So all of a sudden, all these things that were really infrastructure, it stuff became a board level conversation. And, you know, once again, at first everybody was panicked and just figuring out how to get people. But now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has, has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >>I know you got to go, but real quick, um, describe what accelerating automation with dev net means. >>Well, you've been following, you know, we've been working together on dev net and the vision of the infrastructure programmability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people run things are definite community has risen to this challenge. Um, people have jumped in, they've gotten their certifications. We have thousands of people getting certified. Uh, you know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerate, accelerating automation while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications of, you know, cloud directed businesses and cloud growth. So it actually is about people just as much as it is about automation and technology. >>And we got dev net created right around the corner of virtual unfortunate. Won't be in person, but we'll be virtual. Susie. Thank you for your time. We're going to dig into those people, challenges with Mandy and Eric. Thank you for coming on. I know you got to go, but stay with us. We're going to dig in with Mandy and Eric. Thanks. >>Thank you so much. Have fun. Thanks John. >>Okay. Mandy, you heard Susie is about people. And one of the things that's close to your heart you've been driving is a senior director of dev net certifications, um, is getting people leveled up. I mean the demand for skills, cybersecurity network, programmability automation, network design solution architect, cloud multi-cloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >>Oh yes, absolutely. The, you know, what we've been seeing is a lot of those business drivers that Susie was mentioning, those are, what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network, automation, engineer, network automation, which Susie >>Mentioned, and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. >>Eric, I want to go to you for a quick second on this, um, um, piece of getting the certifications. Um, first, before you get started, describe what your role is as director of developer advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact, switch and get some certifications and that they can code more. What's your, what's your role? >>Absolutely. So it's interesting. It definitely is changing a lot. A lot of our historically a lot of focus for my team has been on those outward events. So going to the Devin that creates the Cisco lives and helping the community connect and to help share tech mountain technical information with them, um, doing hands on workshops and really getting people into how do you really start solving these problems? Um, so that's had to pivot quite a bit. Um, obviously Cisco live us. We committed very quickly to a virtual event when, when conditions changed and we're able to actually connect as we found out with a much larger audience. So, you know, as opposed to in person where you're bound by the parameters of, you know, how big the convention center is, uh, we were actually able to reach a worldwide audience with our, uh, our definite date that was kind of attached on to Cisco live. >>And we got great feedback from the audience that now we're actually able to get that same enablement out to so many more people that otherwise might not have been able to make it. Um, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes and your learning labs, things like that, that they can come and get whenever they're looking for it out on the dev net site. And then my team also looks after community, such as the Cisco learning network where this there's a huge community that has historically been there to support people working on their Cisco certifications. And we've seen a huge shift now in that group that all of the people that have been there for years are now looking at the domain certifications and helping other people that are trying to get on board with programmability. They're taking a lot of those same community enablement skills and propping up the community with, you know, helping you answer questions, helping provide content. They've moved now into the dev net space as well, and are helping people with that servicer. So it's great seeing the community come along and really see that >>I got to ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Are, is there anything in particular, obviously network automation has been around for a long time. Cisco has been leader in that, but as you move up, the stack as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? Yeah, absolutely. >>So you mentioned, uh, observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability, uh, now that we needed? Well, we're virtual. Um, so that's actually been a huge uptake and we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out how can I do this at scale? And I think one good example that, uh, Susie was talking about the VPN example, and we actually had a number of SES in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that it departments might care about, about their firewalls, things that you do normally look at me all days, you would size your firewalls based on, you know, assuming a certain number of people working from home. >>And when that number went to a hundred percent things like licensing started coming into play, where they needed to make sure they had the right capacity in their platforms that they weren't necessarily designed for. So one of the STDs actually wrote a bunch of code to go out, use some open source tooling, to monitor and alert on these things and then published it. So the whole community could go out and get a copy of it, try it out their own environment. And we saw a lot of interest around that and trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >>That's great. Mandy. I want to get your thoughts on this too, because as automation continues to scale, it's going to be a focus and people are at home and you guys had a lot of content online for you recorded every session that didn't the dev Ned zone learnings going on, sometimes linearly. And nonlinearly you got the certifications, which is great. That's key, key, great success there. People are interested, but what are the learnings? Are you seeing? What are people doing? What's the top top trends. >>Yeah. So what we're seeing is like you said, people are at home, they've got time. They want to advance their skillset. And just like any kind of learning people want choice because they want to be able to choose what's matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors, leading them through a study plan. And we have two new, uh, expert led study groups like that. We're also seeing whole teams at different companies who want to do, uh, an immersive learning experience together, uh, with projects and office hours and things like that. And we have a new, um, offer that we've been putting together for people who want those kinds of team experiences called automation boot camp. And then we're also seeing individuals who want to be able to, you know, dive into a topic, do a hands on lab, get some skills, go to the rest of the day of do their work and then come back the next day. >>And so we have really modular self-driven hands on learning through the dev net fundamentals course, which is available through dev net. And then there's also people who are saying, I just want to use the technology. I like to experiment and then go, you know, read the instructions, read the manual, do the deeper learning. And so they're, they're spending a lot of time in our dev net sandbox, trying out different technologies, Cisco technologies with open source technologies, getting hands on and building things. And three areas where we're seeing a lot of interest in specific technologies. One is around SD wan. There's a huge interest in people skilling up there because of all the reasons that we've been talking about security is a focus area where people are dealing with new scale, new kinds of threats, having to deal with them in new ways and then automating their data center, using infrastructure as code type principles. So those are three areas where we're seeing a lot of interest and you'll be hearing some more about that at dev net create >>Awesome. Eric and Mandy, if you guys can wrap up, um, this accelerated automation with dev net package and a virtual event here, um, and also tee up dev net create because dev net create has been a very kind of grassroots, organically building momentum over the years. Again, it's super important cause it's now the app world coming together with networking, you know, end to end programmability and with everything as a service that you guys are doing everything with API APIs, um, only can imagine the enablement that's gonna name, uh, create, can you share the summary real quick on accelerating automation with, at and T up dev net create Mandy we'll start. Yeah. >>Yes. I'll go first. And then Eric can close this out. Um, so just like we've been talking about with you at every definite event over the past years, you know, that's bringing APIs across our whole portfolio and up and down the stack and accelerating, uh, automation with dev net. Susie mentioned the people aspect of that. The people skilling up and how that transformed teams, transforms teams. And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so what I think about accelerating automation with dev net, it's about the dev community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community. With those new skills. >>Eric take us home. He accelerating automation, dev net and dev net create a lot of developer action going on in cloud native right now, your thoughts? >>Absolutely. I think it's exciting. I mentioned the transition to virtual for Devin that day, this year for Cisco live. And we're seeing, we're able to leverage it even further with creative this year. So, whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding the start now track for people that want to be there. They want to be a developer, a network automation developer, for instance, we've now got attract just for them where they can get started and start learning. Some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. Um, so I love that we're able to bring that together with the experienced community that we usually do from across the industry, bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud, to do new and interesting things to solve their business challenges. >>So I'm really excited to bring that whole mix together, as well as getting some of our business units together too, and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new APIs into their platforms? What are the, what problems are they hoping that customers will be able to solve with them? So I think together seeing all of that and then bringing the community together from all of our usual channels. So like I said, Cisco learning network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >>Awesome. Thanks so much, God, man, you can add, add one more thing. >>I'm just going to say the other really exciting thing about create this year with the virtual nature of it is it it's happening in three regions and um, you know, we're so excited to see the people joining from all the different regions and uh, content and speakers and the region stepping up to have things personalized to their area, to their community. And so that's a whole new experience for them that create that's going to be fantastic this year. Yeah. >>I was just gonna close out and just put the final bow on that by saying that you guys have always been successful with great content focused on the people in the community. I think now during what this virtual dev net virtual dev net create virtual, the cube virtual, I think we're learning new things. People working in teams and groups and sharing content, we're going to learn new things. We're going to try new things and ultimately people will rise up and we'll be resilient. I think when you have this kind of opportunity, it's really fun. And we'll, we'll, we'll ride the wave with you guys. So thank you so much for taking the time to come on the cube and talk about your awesome accelerating automation and dev net. Great. Looking forward to it. Thank you. >>Yeah. >>The cube virtual here in Palo Alto studios doing the remote content amendment say virtual until we're face to face. Thank you so much for watching and we'll see you at dev net create thanks for watching Jeffrey here with the cube. Uh, we have our ongoing coverage of the Cisco dev net event. It's really accelerating with automation and programmability in the new normal, and we know the new normal is definitely continuing to go. We've been doing this since the middle of March and now we're in October. So we're excited to have our next guest he's Thomas Sheba. He is the vice president of product management for data center for Cisco Thomas. Great to see you. >>Hey, good to see you too. Yeah. Yeah. Everybody can see on our background. >>Exactly, exactly. So, I mean, I'm curious, we've talked to a lot of people. We talked to a lot of leaders, you know, especially like back in March and April with this light moment, which was, >>You know, no time to prep and suddenly everybody has to work from home. Teachers got to teach from home. And so you've got the kids home, you've got the spouse home, everybody's home trying to get on the network and do their zoom calls and their classes. I'm curious from your perspective, you guys are right there on the, on the network you're right in the infrastructure. What did you hear and see kind of from your customers when suddenly, you know, March 16th hit and everybody had to go home? >>Well, good point, Hey, I do think we all appreciate the network much more than we used to do before. Uh, and then the only other difference is I'm really more on WebEx calls to zoom calls, but you know, otherwise, uh, yes. Um, what, what I do see actually is that as I said, network becomes much more obvious as a critical piece. And so before we really talked a lot about, uh, agility and flexibility these days, we talk much more about resiliency quite frankly. Uh, and what do I need to have in place with respect to network to get my things from left to right. And you know, it was 2000, he still West, as we say on the data center. Uh, and that just is for most of my customers, a very, very important topic at this point. Right. >>You know, it's, it's amazing to think, you know, had this happened, you know, five years ago, 10 years ago, you know, the ability for so many people in, in, in the information industry to be able to actually make that transition relatively seamlessly, uh, is, is actually pretty amazing. I'm sure there was some, some excitement and some kudos in terms of, you know, it, it is all based on the network and it is kind of this quiet thing in the background that nobody pays attention to. It's like a ref in the football game until they make a bad play. So, you know, it is pretty fascinating that you and your colleagues have put this infrastructure and that enabled us to really make that move with, with, with really no prep, no planning and actually have a whole lot of services delivered into our homes that we're used to getting at the office are used to getting at school. >>Yeah. And I mean, to your point, I mean, some of us did some planning. Can we clearly talking about some of these, these trends in the way I look at this trends as being distributed data centers and, um, having the ability to move your, your workloads and access for users to wherever you want to be. And so I think that clearly went on for a while. And so in a sense, we, we, we prep was, are normal, but we're prepping for it. Um, but as I said, resiliency just became so much more important than, you know, one of the things I actually do a little plot, a little, little, uh, Bret before a block I put out end of August around resiliency. Uh, you, you, if you didn't, if you didn't put this in place, you better put it in place. Because I think as we all know, we saw her March. This is like maybe two or three months, we're now in October. Um, and I sing, this is the new normal for some time being. >>Yeah, I think so. So let's stick on that theme in terms of trends, right? The other great trend as public cloud, um, and cloud and multi cloud, there's all types of variants on that theme you had in that blog post about, uh, resiliency in data center, cloud networking, data center cloud, you know, some people think, wait, it's, it's kind of an either, or I either got my data center or I've got my stuff in the cloud and I've got public cloud. And then as I said, hybrid cloud, you're talking really specifically about enabling, um, both inner inner data center resiliency within multi data centers within the same enterprise, as well as connecting to the cloud. That's probably counterintuitive for some people to think that that's something that Cisco is excited about and supporting. So I wonder if you can share, you know, kind of how the market is changing, how you guys are reacting and really putting the things in place to deliver customer choice. >>Yeah, no, it's actually, to me it's really not a counterintuitive because in the end was what, uh, I'm focusing on. And the company is focusing on is what our customers want to do and need to do. Uh, and that's really, um, would, you know, most people call hybrid cloud or multi-cloud, uh, in, in the end, what it is, what it is, is really the ability to have the flexibility to move your workloads where you want them to be. And there are different reasons why you want to place them, right? You might've placed them for security reasons. You might've played some clients reasons, depending on which customer segment you after, if you're in the United States or in Europe or in Asia, there are a lot of different reasons where you're going to put your things. And so I think in the end, what, uh, an enterprise looks for is that agility, flexibility, and resiliency. >>And so really what you want to put in place is what we call like the cloud on ramp, right? You need to have an ability to move sings as needed, but the logic context section, which we see in the, um, last couple of months, accelerating is really this whole seam around digital transformation, uh, which goes hand in hand then was, uh, the requirement on the at T side really do. And I T operations transformation, right. How it operates. Uh, and I think that's really exciting to see, and this is excellent. Well, a lot of my discussions, I was customers, uh, what does it actually mean with respect to the it organization and what are the operational changes? This a lot of our customers are going through quite frankly, accelerated right. Going through, >>Right. And, and automation is in the title of the event. So automation is, you know, is an increasingly important thing, you know, as the, as we know, and we hear all the time, you know, the flows of data, the complexity of the data, either on the security or the way the network's moving, or as you said, shifting workloads around, based on the dynamic situations, whether that's business security, et cetera, in a software defined networking has been around for a while. How are you seeing kind of this evolution in adding more automation, you know, to more and more processes to free up those, those, um, no kind of limited resources in terms of really skilled people to focus on the things that they should be focusing and not stuff that, that hopefully you can, you know, get a machine to run with some level of automation. Yeah. >>Yeah. That's a good point. And it said the tech line, I have, you know, sometimes when my mind is really going from a cloud ready, which has in most of the infrastructure is today to cloud native. And so let me a little expand on those, right? There's like the cloud ready is basically what we have put in place over the last five to six years, all the infrastructure that all our customers have, network infrastructure, all the nexus 9,000, they're all cloud ready. Right. And what this really means, do you have API APIs everywhere, right? Whether this is on the box, whether it's on the controller, whether this is on the operations tools, all of these are API enabled and that's just a foundation for automation, right? You have to have that. Now, the next step really is what do you do with that capability? Right? >>And this is the integration with a lot of automation tools. Uh, and that's a whole range, right? This is where the it operation transformation kicks in different customers at different speed, right? Some just, you know, I use these API APIs and use normal tools that they have in a network world just to pull information. Some customers go for it further and saying, I want to integrate this with like some CMDB tools. Some go even further and saying, this is like the cloud native pieces saying, Oh, I want to use, let's say red hat Ansible. I want to use, uh, how she called Terraform and use those things to actually drive how I manage my infrastructure. And so that's really the combination of the automation capability. Plus the integration was relevant cloud native enabling tools that really is happening at this point. We're seeing customers accelerating that, that motion, which really then drives us how they run their it operations. Right. And so that's a pretty exciting, exciting area to see, uh, giving us, I said, we have the infrastructure in place. There's no need for customers to actually do change something. Most of them have already the infrastructures that can do this is just no doing the operational change. The process changes to actually get there. >>Right. And it's funny, we, we recently covered, you know, PagerDuty and, and they highlight what you just talked about, the cloud native, which is, you know, all of these applications now are so interdependent on all these different API APIs, you know, pulling data from all these applications. So a, when they work great, it's terrific. But if there's a problem, you know, there's a whole lot of potential throats to choke out there and find, find those issues. And it's all being connected via the network. So, you know, it's even more critically important, not only for the application, but for all these little tiny components within the application to deliver, you know, ultimately a customer experience within a very small units of time, uh, so that you don't lose that customer or you, you complete that transaction. They, they check out of their shopping cart. You know, all these, these things that are now created with cloud native applications that just couldn't really do before. >>No, you're absolutely right. And that's, this is like, just to say, sit, I'm actually very excited because it opens up a lot of abilities for our customers, how they to actually structure the operation. Right. One of the nice things around this or automation plus a tool integration to an integration is you actually opened us up, not a sole automation train, not just to the network operations personnel. Right. You also open it up and can use this for the SecOps person or for the dev ops person or for the cloud ops engineering team. Right. Because the way it's structured, the way we built this, um, it's literally as an API interface and you can now decide, what is your process do you want to have? And what traditional process you have a request network, operation teams executes the request using these tools and then hand it back over. >>Or do you say, Hey, maybe some of these security things I gotta hand over the sec ups team and they can directly call, uh, these, these API is right, or even one step further. You can have the opportunity that the dev ops or the application team actually says, Hey, I got to write a whole infrastructure as code kind of a script or template, and I just execute. Right. And it's really just using what the infrastructure provides. And so that whole range of different user roles and our customer base, what they can do with the automation capability that's available. It's just very, very exciting way because it's literally unleashes a lot of flexibility, how they want to structure and how they want to rebuild the it operations processes. >>Interesting. You know, cause the, you know, the DevOps culture has taken over a lot, right. Obviously changed software programming for the last 20 years. And, and I think, you know, there's a, there's a lot of just kind of the concept of dev ops versus necessarily, you know, the actual things that you do to execute that technique. And I don't think most people would think of, you know, network ops or, you know, net ops, you know, whatever the equivalent is in the networking world to have, you know, kind of a fast changing dynamic, uh, kind of point of view versus a, you know, stick it in, you know, spec it, stick it in, lock it down. So I wonder if you can, you can share how, you know, kind of that dev ops, um, attitude point of view, workflow, whatever the right verb is, has impacted, you know, things at Cisco and the way you guys think about networking and flexibility within the networking world. >>Yeah, literally, absolutely. And again, it's all customer driven, right? There's none of those, none of this is really actually, you know, a little bit of credit, maybe some of us where we have a vision, but a lot of it's just customer driven feedback. Uh, and yeah, we, we do have network operations teams comes from saying, Hey, we use Ansible heavily on the compute side, we might use this for alpha seven. We want to use the same for networking. And so we made available all these integrations, uh, with sobriety as a state, whether these are the switches, whether these are ACI dcnm controller or our multi-site orchestration capabilities, all of these has Ansible integration the way to the right, the other one, as I mentioned, that how she from Turco Terraform, we have integrations available and they see the requests for these tools to use that. >>Uh, and so that is the emotion we're in for all the, you know, and, uh, another block actually does out there, we just posted saying all set what you can do and then a Palo to this, right. Just making the integration available. We also have a very, very heavy focus on definite and enablement and training, uh, and you know, a little clock. And I know, uh, probably, uh, part of the segment, the whole definite community that Cisco has is very, very vibrant. Uh, and the beauty of this is right. If you look at those, whether you're a net ops person or a dev ops person or a SecOps person, it doesn't really matter. It has a lot of like capability available to just help you get going or go from one level to the next level. Right? And there's simple things like sandbox environments where you can, we know what's out stress, try sinks out snippets of code are there, you can do all of these things. And so we do see it's a kind of a push and pull a tremendous amount of interest and a tremendous, uh, uh, time people spend to learn quite frankly, then that's another site product of, of, you know, the situation where, and people said, Oh man, and say, okay, online learning is the thing. So these, these, these tools are used very, very heavily, right? >>That's awesome. Cause you know, we've, we've had Susie Lee on a number of times and I know he and Mandy and the team really built this dev net thing. And it really follows along this other theme that we see consistently across other pieces of tech, which is democratization, right democratization of the access tool, taking it out of, of just a mahogany row with, again, a really limited number of people that know how to make it work and it can make the changes and then opening it up to a software defined world where now that the, you know, the it's as application centric, point of view, where the people that are building the apps to go create competitive advantage. Now don't have to wait for, you know, the one network person to help them out in and out of these environments. Really interesting. And I wonder if, you know, when you look at what's happened with public cloud and how they kind of change the buying parameter, how they kind of change the degree of difficulty to get project started, you know, how you guys have kind of integrated that, that type of thought process to make it easier for app developers to get their job done. >>Yeah. I mean, again, it's, it's, uh, I typically look at this more from a, from a customer lens, right? It's the transformation process and it always starts as I want agility. I want flexibility. I want to resiliency, right? This is where we talk to a business owner, what they're looking for. And then that translates into, into an I, to operations process, right? Your strategy needs to map then how you actually do this. Uh, and that just drives then what tools do you want to have available to actually enable this? Right? And the enablement again is for different roles, right? There is you need to give sync services to the app developer and, uh, the, the platform team and the security team, right. To your point. So the network, uh, can act at the same speed, but you also give to us to the network operations teams because they need to adjust. >>Then they have the ability to react to, uh, to some of these requirements. Right. And it's just automation. I think we, we, we focused on that, but there's also to your point, the, the need, how do I extend between data centers? You know, just, just for backup and recovery and how do I extend into, into public clouds, right? Uh, and in the end, that's a, that's a network connectivity problem. Uh, and we have soft as, uh, we have made as available. We have integrations into, uh, AWS. We have integrations into a joy to actually make this very easy from a, from a network perspective to extend your private domains, private networks into which have private networks on these public clouds. So from an app development perspective, now it looks like he's on the same network. It's a protective enterprise network. Some of it might sit here. >>Some of it might sit here, but it's really looking the same. And that's really in the enticing. What, what a business looks at, right? They don't necessarily want to say, I need to have something separate for this deployment was a separate for that deployment. What they want is I need to deploy something. I need to do this resilient. And the resilient way in an agile way gives me the tools. And so that's really where we focused, um, and what we're driving, right? It's that combination of automation consistently, and then definite tools, uh, available that we support. Uh, but they're all open. Uh, they're all standard tools as the ones I mentioned, right. That everybody's using. So I'm not getting into this, Oh, this is specific to Cisco, right. Uh, it's really democratization. I actually liked your term. Yeah. >>It's a great terminate. And it's, it's really interesting, especially with, with the API APIs and the way everything is so tied together that everyone kind of has to enable this because that's what the customer is demanding. Um, and it is all about the applications and the workloads and where those things are moving, but they don't really want to manage that. They just want to, you know, deliver business benefit to their customers and respond to, uh, you know, competitive threats in the marketplace, et cetera. So it's really an interesting time for the infrastructure, you know, to really support kind of this app first point of view, uh, versus the other way around is kind of what it used to be and, and enable this hyper fast development hyper fast, uh, change in the competitive landscape or else you will be left behind. Um, so super important stuff. >>Yeah, no, I totally agree. And as I said, I mean, it's, it's kind of interesting because we, we started on a Cisco data center. So we started this probably six or seven years ago. Uh, when we, when we named the application centric, uh, clearly a lot of these concepts evolve, uh, but in a sense it is that reversal of the role from the network provides something and you use to, uh, this is what I want to do. And I need a service, uh, thinking on a networking side to expose. So as that can be consumed. And so that clearly is playing out. Um, and as I said, automation is a key key foundation that we put in place, uh, and our customers, most of our customers at this point, uh, on, on these products, >>They have all the capabilities there. They can literally take advantage. There's really nothing that stops them >>Good times for you, because I'm sure you've seen all the memes and social media, right? What what's driving your digital transformation. Is it the CEO, the CMO or COVID, and we all know the answer to the question. So I don't think the, the pace of change is going to slow down anytime soon. So keeping the network up and enabling us all to get done, what we have to get done and all the little magic that happens behind the scenes. >>Yeah. No thanks. Thanks for having me. And again, yeah. If you're listening and you're wondering, how do I get started Cisco? Definitely just the place to go. It's fantastic. Fantastic. And I highly recommend everybody roll up your sleeves, you know, the best reasons you can have. >>Yeah. And we know once the physical events come back, we've been to dev net create a bunch of times, and it's a super vibrant, super excited, but really engaged community sharing. Lots of information is kind of, it's still kind of that early vibe, you know, where everyone is still really enthusiastic and really about learning and sharing information. So I say Susie and the team are really built a great thing, and we're a, we're happy to continue to cover it. And eventually we'll be back, uh, face to face. >>Okay. I look forward to that as well. >>All right, thanks. Uh, he's Thomas I'm Jeff, you're watching continuing coverage of Cisco dev net accelerating with automation and programmability >>TK Kia. Nini is here. He's a distinguished engineer at Cisco TK, my friend. Good to see you again. How are you? Good. I mean, you and I were in Barcelona in January and, you know, we knew we saw this thing coming, but we didn't see it coming this way. Did we know that no one did, but yeah, that was right before everything happened. Well, it's weird. Right? I mean, we were, you know, we, we, it was in the back of our minds in January, we sort of had Barcelona's hasn't really been hit yet. It looked like it was really isolated in China, but, uh, but wow, what a change and I guess, I guess I'd say I'd start with the, we're seeing really a secular change in your space and security identity, access management, cloud security, endpoint security. I mean, all of a sudden these things explode as the work from home pivot has occurred. >>Uh, and it feels like these changes are permanent or semi-permanent, what are you seeing out there? Yeah, I don't, I don't think anybody thinks the world's going to go back the way it was. Um, to some degree it's, it's changed forever. Um, you know, I, I, I do a lot of my work remotely. Um, and, and so, you know, being a remote worker, isn't such a big deal for me, but for some, it was a huge impact. And like I said, you know, um, remote work, remote education, you know, everybody's on the opposite side, a computer. And so the digital infrastructure has just become a lot more important to protect. And the integrity of it essentially is almost our own integrity these days. >>Yeah. And when you see that, you know, that work from home pivot, I mean, you know, our estimates are along with a partner DTR about 16% of the workforce was at home working from home prior to COVID and now it's, you know, North of 70% plus, and that's going to come down maybe a little bit over the next six months. We'll see what happens with the fall surge, but, but people essentially accept, expect that to at least double that 16%, you know, going forward indefinitely. So how, what is that, what kind of pressure does that put on the security infrastructure and how, how organizations are approaching security? >>Yeah, I just think, uh, from a mindset standpoint, you know, what was optional, uh, maybe, um, last year, uh, is no longer optional and I don't think it's going to go back. Um, I think, I think a lot of people, uh, have changed the way, you know, they live and the way they work. Um, and they're doing it in ways, hopefully that in some cases, uh, yield more productivity, um, again, um, you know, usually with technology that's severely effective, it doesn't pick sides. So the security slant to it is it frankly works just as well for the bad guys. And so that's, that's the balance we need to keep, which is we need to be extra diligent, uh, on how we go about securing infrastructure, uh, how we go about securing even our social channels, because remember all our social channels now are digital. So that's, that's become the new norm. >>You know, you've helped me understand over the years. I remember a line you shared with me in the cube one time is that the adversary is highly capable, is sort of the phrase that you used. And essentially the way you describe it, as you know, your job as a security practitioner is to decrease the bad guy's return on investment, you know, increase their costs, increase the numerator, but as, as work shifts from home, yeah, I'm in my house, you know, my wifi in my, you know, router with my dog's name is the password. You know, it's much, much harder for me to, to increase that denominator at home. So how can you help? >>Yeah. I mean, it's, it is, it is truly, um, when you think, when you get into the mind of the adversary and, and, uh, you know, the cyber crime out there, they're honestly just like any other business they're trying to operate with high margin. And so if you can get there, if you can get in there and erode their margin, frankly go find something else to do. Um, and, and again, you know, you know, the shift we experienced day to day is it's not just our kids are online in school and, uh, our work is online, but all the groceries we order, um, uh, you know, this Thanksgiving and holiday season, uh, a lot more online shopping is going to take place. So, you know, everything's gone digital. And so the question is, you know, how, how do we up our game there so that we can go about our business, uh, effectively and make it very expensive for the adversary to operate, uh, and take care of their business? Cause it's nasty stuff. >>I want to ask you about automation generally, and then specifically how it applies to security. So we, I mean, we certainly saw the ascendancy of the hyperscalers and of course they really attacked the it labor problem. We learned a lot from that and an it organizations have applied much of that thinking. And the it's critical at scale. I mean, you just can't scale humans at the pace, the technology scales today, how does that apply to security and specifically, how is automation affecting security? >>Yeah, it's, it's, it's the topic these days. Um, you know, businesses, I think, realize that they can't continue to grow at human scale. And so the reason why automation and things like AI and machine learning have a lot of value is because everyone's trying to expand, uh, and operate at machine scale. Now, I mean that for, for businesses, I mean that for education and everything else now, so are the adversaries, right? So it's expensive for them to operate at Cuban scale and they are going to machine scale, going to machine scale, uh, a necessity is that you're going to have to harness some level of automation, have the machines, uh, work on your behalf, have the machines carry your intent. Um, and when you do that, um, you can do it safely or you could do it dangerously. And that that's really kind of your choice. Um, you know, just because you can automate something doesn't mean you should, um, you, you wanna make sure that frankly, the adversary can't get in there and use that automation on their behalf. So it's, it's a tricky thing because, you know, if when you take the phrase, you know, how do we, how do we automate security? Well, you actually have, uh, take care of, of securing the automation first. >>Yeah. We talked about this in Barcelona, where you were explaining that, you know, the bad guys, the adversaries are essentially, you know, weaponizing using your own tooling, which makes them appear safe because it's, they're hiding in plain sight. Right? >>Well, there's, they're clever, uh, give them that, um, you know, there's this phrase that they, they always talk about called living off the land. Um, there's no sense in them coming into your network and bringing their tools and, uh, and being detective, you know, if they can use the tools that's already there, then, uh, they have a higher degree of, of evading, uh, your protection. If they can pose as Alice or Bob, who's already been credentialed and move around your network, then they're moving around the network as Alice or Bob. They're not marked as the adversary. So again, you know, having the detection methods available to find their behavior anomalies and things like that become a paramount, but also, you know, having the automation to contain them, to eradicate them, to, you know, minimize their effectiveness, um, without it, I mean, ideally without human interaction, cause you, you just, can you move faster, you move quicker. Um, and I see that with an asterisk because, um, if done wrong, frankly, um, you're just making their job more effective. >>I wonder if we could talk about the market a little bit, uh, it's I'm in the security space, cybersecurity 80 plus billion, which by the way, is just a little infant testable component of our GDP. So we're not spending nearly enough to protect that, that massive, uh, GDP, but guys, I wonder if you could bring up the chart because when you talk to CSOs and you ask them, what's your, what's your biggest challenge? They'll say lack of talent. And, and so what this chart shows is from ETR, our, or our survey partner, and on the vertical axis is net score. And that's an indication of spending momentum on the horizontal axis is market share, which is a measure of presence, a pervasiveness, if you will, inside the datasets. And so there's a couple of key points here. I wanted to put forth to our audience and then get your reactions. >>So you can see Cisco, I highlighted in red, Cisco is business and security is very, very strong. We see it every quarter. It's a growth area that Chuck Robbins talks about on the, on the conference call. And so you can see on the horizontal axis, you've got a big presence in the data set. I mean, Microsoft is out there, but they're everywhere, but you're right there, uh, in that, in that dataset. And then you've got for such a large presence, you've got a lot of momentum in the marketplace, so that's very impressive. But the other point here is you've got this huge buffet of options. There's just a zillion vendors here. And that just adds to the complexity. This is of course only a subset of what's in the security space. You know, the people who answered for the survey. So my question is how can Cisco help, you know, simplify this picture? Is it automation? Is it, you know, you guys have done some really interesting tuck in acquisitions and you're bringing that integration together. Can you talk about that a little bit? >>Yeah. I mean, that's an impressive chart. I mean, when you look to the left there it's, um, I had a customer tell me once that, you know, I came to this trade show, looking for transportation and these people are trying to sell me car parts. Um, that's the frustration customers have, you know, and I think what Cisco has done really well is to really focus on outcomes. Um, what is the customer outcome? Cause ultimately that's, that is what the customer wants. You know, there might be a few steps to get to that outcome, but the closest closer you can get to delivering outcomes for the customer, the better you are. And I think, I think security in general has just year over year have been just written with, um, you need to be an expert. Um, you need to buy all these parts and put it together yourself. And, and I think, I think those days are behind us, but particularly as, as security becomes more pervasive and we're, you know, we're selling to the business, we're not selling to the, you know, t-shirt wearing hacker anymore. >>Yeah. So, well, well how does cloud fit in here? Because I think there's a lot of misconceptions about cloud people that God put my data in the cloud I'm safe, but you know, of course we know it's a shared responsibility model. So I'm interested in your, your thoughts on that. Is it really, is it a sense of complacency? A lot of the cloud vendors, by the way, say, Oh, the state of security is great in the cloud. Whereas many of us out there saying, wow, it's, it's not so great. Uh, so what are your thoughts on that, that whole narrative and what Cisco's play in cloud? >>I think cloud, um, when you look at the services that are delivered via the cloud, you see that exact pattern, which is you see customers paying for the outcome or as close to the outcome as possible. Um, you know, no, no data center required, no disk drive required, you just get storage, you know, it's, it's, it's all of those things that are again, closer to the outcome. I think the thing that interests me about cloud two is it's really been, it's really punctuated the way we go about building systems. Um, again at machine scale. So, you know, before, when I write code and I think about, Oh, what computers are gonna run on or, you know, what servers are going to is you're going to run on those. Those thoughts never crossed my mind anymore. You know, I'm modeling the intent of what the service should do and the machines then figure it out. So, you know, for instance, on Tuesday, if the entire internet shows up, uh, the, the system works without fail. And if on Wednesday, if only North America shows up, you know, so, but, but there's no way you could staff that, right. There's just no human scale approach that gets you there. And that's, that's the beauty of all of this cloud stuff is, um, it really is, uh, the next level of how we do computer science. >>So you're talking about infrastructure as code and that applies to security as code. That's what dev net is really all about. I've said many times, I think Cisco of the large established enterprise companies is one of the few, if not the only, that really has figured out, you know, that developer angle, because it's practical. What are you doing? You're not trying to force your way into developers, but, you know, I wonder if you could, you could talk a little bit about that trend and where you see it going. >>Yeah, no, that is, that is truly the trend. Every time I walk into dev net, um, the big halls at Cisco live, it is Cisco as code. Um, everything about Cisco is being presented through an API. It is automation ready. And frankly, that is, um, that is the, the love language of the cloud. Um, it's it's machines is the machines talking to machines in very effective ways. So, you know, it is the, the, uh, I, I think, I think necessary, maybe not sufficient but necessary for, um, you know, doing all the machine scale stuff. What what's also necessary, uh, is to, um, to secure if infrastructure is code therefore, um, what, what secure, uh, what security methodologies do we have today that we use to secure code? While we have automated testing, we have threat modeling, right? Those things actually have to be now applied to infrastructure. So then when I, when I talk about how do you do, uh, automation securely, you do it the same way you secure your code, you test it, you, you threat model, you, you, you say, you know, Ken, my adversary, uh, exhibit something here that drives the automation in a way that I didn't intend it to go. Um, so all of those practices apply. It's just, everything has code these days. >>I've often said that security and privacy are sort of two sides of the same coin. And I want to ask you a question and it's really, you know, to me, it's not necessarily Cisco and company like companies like Cisco's responsibility, but I wonder if there's a way in which you can help. And of course, there's this Netflix documentary circling around the social dilemma. I don't know if you have a chance to see it, but basically dramatizes the way in which companies are appropriating our data to sell us ads and, you know, creating our own little set of facts, et cetera. And that comes down to sort of how we think about privacy and admin. It's good from the standpoint of awareness, you know, you may or may not care if you're a social media user. I love tick-tock, I don't care, but, but, but they, they sort of laid out. This is pretty scary scenario with a lot of the inventors of those technologies. You have any thoughts on that and you'll consist go play a role there in terms of protecting our privacy. I mean, beyond GDPR and California, consumer privacy act, um, what do you think? >>Yeah. Um, uh, I'll give you my, you know, my humble opinion is you, you fix social problems with social tools, you fixed technology problems with technology tools. Um, I think there is a social problem, um, that needs to be rectified the, you know, um, we, we, weren't built as, um, human beings to live and interact with an environment that agrees with us all the time. It's just pretty wrong. So yeah, that, that, that, um, that series that really kind of wake up a lot of people it is, is, you know, it's probably every day I hear somebody asked me if I, I saw, um, but I do think it also, you know, with that level of awareness, I think we, we overcome it or we compensate by what number one, just being aware that it's happening. Um, number two, you know, how you go about solving it, I think maybe come down to an individual or even a communities, um, solution and what might be right for one community might be, you know, not the same for the other. So you have to be respectful in that manner. >>Yeah. So it's, it's, it's almost, I think if I could play back, what I heard is, is yeah. Technology, you know, maybe got us into this problem, but technology alone is not going to get us out of the problem. It's not like some magic AI bot is going to solve this. It's got to be, you know, society has to really, really take this on as your premise. >>That's a good point. When I, when I first started playing online games, I'm going back to the text-based adventure stuff, like muds and moves. I did a talk at, at MIT one time, and I'm this old curmudgeon in the back of the room. Um, we were talking about democracy and we were talking about, you know, the social processes that we had modeled in our game and this and that. And this guy just gave us the SmackDown. He basically walked up to the front of the room and said, you know, all you techies, you judge efficiency by how long it takes. He says, democracy is a completely the opposite, which is you need to sleep on it. In fact, you should be scared if somebody can decide in a minute, what is good for the community? It, two weeks later, they probably have a better idea of what's good for the community. So it almost has the opposite. And that was super interesting to me. >>That's really interesting, you know, you read the, like the, the Lincoln historians and he was criticized in the day for having taken so long, you know, to make certain decisions, but ultimately when he acted acted with, with confidence. Um, so to that point, but, um, so what, what else are you working on these days that, uh, that are, that is interesting that maybe you want to share with our audience? Anything that's really super exciting for you or you, >>Yeah. You know, generally speaking, I'm trying to try and make it a little harder for the bad guys to operate. I guess that's a general theme making it simpler for the common person to use, uh, tools. Um, again, you know, all of these security tools, no matter how fancy it is, it's not that we're losing the complexity, it's that we're moving the complexity away from the user so that they can thrive at human scale. And we can do things at machine scale and kind of working those two together is sort of the, the magic recipe. Um, it's, it's not easy, but, um, but it is, it is fun. So that's, that's what keeps me engaged. >>I'm definitely seeing, I wonder if you see it just sort of a, obviously a heightened organization awareness, but I'm also seeing shifts in the organizational structures. You know, the, you know, it used to be a sec ops team and an Island. Okay, it's your problem? You know, the, the, the CSO cannot report into the, to the CIO because that's like the Fox in the hen house, a lot of those structures are, are, are changing. It seems it'd be becoming this responsibility is coming much more ubiquitous across the organization. What are you seeing there and what are you putting on? >>And it's so familiar to me because, you know, um, I, I started out as a musician. So, you know, bands bands are a great analogy. You know, you play bass, I big guitar. You know, somebody else plays drums, everybody knows their role and you create something that's larger than, you know, the sum of all parts. And so that, that analogy I think, is coming to, you know, we, we saw it sort of with dev ops where, you know, the developer, doesn't just throw their coat over the wall and it's somebody else's problem. They move together as a band. And, and that's what I think, um, organizations are seeing is that, you know, why, why stop there? Why not include marketing? Why not include sales? Why don't we move together as a business? Not just here's the product and here's the rest of the business. That's, that's, that's pretty awesome. Um, I think, uh, we see a lot of those patterns, uh, particularly for the highly high-performance businesses. >>No, in fact, it's interesting you for great analogy, by the way. And you actually see in that within Cisco, you're seeing sort of a, and I know sometimes you guys don't like to talk about the plumbing, but I think it matters. I mean, you got a leadership structure now. I I've talked to many of them. They seem to really be more focused on how they're connect, connecting, you know, across organizations. And it's increasingly critical in this world of, you know, of silo busters, isn't it? Yeah, no, I mean, you almost, as, as you move further and further away, you know, you can see how ridiculous it was before it would be like acquiring the band and say, okay, all you can talk later is go over here. All your bass players go over there. I'm like, what happened to the band? >>That's what I'm talking about is, you know, moving all of those disciplines, moving together and servicing the same backlog and achieving the same successes together is just so awesome. Well, I always, I always feel better after talking to you. You know, I remember I remember art. Coviello used to put out his, his letter every year and I was reading. I'd get depressed. We spend all this money now we're less secure. But when I talked to you TK, I feel like much more optimistic. So I really appreciate the time you spend on the cube. It's awesome to have you as a guest. I love these, I love these sessions. So thanks. Thanks for inviting me. And I miss you. I, you know, hopefully, you know, next year we can get together at some of the Cisco shows or other shows, but be well and stay weird. Like the sign says doing my part to get Kenny, thanks so much for coming to the cube. We, uh, we really appreciate it. And thank you for watching everybody. This is Dave Volante. We've right back with our next guest. This short break, >>Come back to the cubes coverage, just to keep virtuals coverage of dev net create virtual will not face to face the cubes. Been there with dev net and dev net create. Since the beginning, dev net create was really a part of the dev net community. Looking out at the external market outside of Cisco, which essentially is the cloud native world, which is going mainstream. We've got a great guest here. Who's who's been the company's been on the cube. Many times. We've been talking to them recently acquired by Cisco thousand eyes. We have Joe Vaccaro is BC vice president of product, Joe, welcome to the cube. Thanks for coming on. Great. And thanks for having me. You have the keys to the kingdom, you, the vice president of product, which means you get to look inside and you get to look outside, figure it all out, uh, make everything run on thousand eyes. >>You guys have been finding common language, uh, across multiple layers of network intelligence, external services. This is the heart of what we're seeing in innovation with multicloud microservices, cloud native. This is really a hot area. It's converging multiple theaters in technology. Super important. I want to get into that with you. But first thousand nine was recently acquired by Cisco, um, big acquisition, uh, super important new CEO of Cisco, very clear API, everything we're seeing that come out. That's a big theme at dev net create the ecosystem of Cisco's going outside their own, you know, their, their walls outside of the Cisco network operators, network engineers. We're talking to developers talk programmability. This is the big theme. What's it like at Cisco? Tell us, honestly, the COVID hits. You get acquired by Cisco, tell us what's happening. >>Yeah, surely been an exciting six months, 4,000 eyes on the entire team and our customers, you know, as we all kind of shifted to the new normal of working from home. And I think, you know, that change alone really kind of amplified. Even some of the fundamental beliefs that we have as a company that you know, cloud is becoming the new data center or customers that Indra internet has become the new network and the new enterprise network backbone. And that SAS has really become the new application stack. And as you think about these last six months, those fundamental truths have never been more evident as we rely upon the cloud to be able to, to work as we rely upon our own home networks and the internet in order to be productive. And as we access more sized applications on a daily basis. And as you think about those fundamental truths, what's common across all of them is that you rely upon them now more than ever, not only to run your business, but to any of your employees would be productive, but you don't own them. And if you don't own them, then you lack the ability in a traditional way to be able to understand that digital experience. And I think that's ultimately what, what thousand eyes is trying to solve for. And I think it's really being amplified in really these last six months. >>Talk about the COVID dynamic because I think it highlighted and certainly accelerated digital transformation, but specifically exposes opportunities, challenges, weaknesses, I've talked to many CXOs CSOs. Uh, sec security is huge. Um, home of the conference book talk track, we'll get to in a second, but exposes what's worth doubling down on what to abandon from a project standpoint, as people start to look at their priorities, they're going, Hey, we got to have a connected experience. We got to have security. People are working at home. No one has VPNs at home VPNs or passe, maybe it's way. And maybe it's something else they're on a backbone. They're connecting to the internet, a lot of different diversity in connections. At the same time, you got a ton of modern apps running along for these networks. This is a huge issue. COVID is exposed us at scale. What's your view on this? And what does thousand eyes thinking about this? >>You know, if you think about the kind of legacy application delivery, it went from largely users in an office connected over, say a dedicated corporate network, largely to traditional say internal hosted applications. And that was early simple connectivity bath. And as you mentioned, we've seen amplifications in terms of the diversity from the users. So users are not in the office. Now they're connected in distributed disparate locations that are dynamically changing. When you think that how they're getting to that application, they're going across a really complex service chain of different network services that are working together across as public internet backbone will totally to land them on an application. And then those applications themselves are becoming now, as you mentioned, distributed largely based upon a microservices architecture and increasing their own dependence upon third party sample size applications to fulfill say key functions of that application, those three things together. >>Ultimately you're creating that level of level of complex service chain that really makes it difficult to understand the digital experience. And ultimately the it organization it's really chartered with not just delivering the infrastructure, but delivering the right experience. And you have to then have a way to be able to see, to gain that visibility, that experience, you know, to measure it and understand, and to provide that intelligence and then ultimately to act on it, be able to ensure that your employees, as well as your customers are getting the right overall, um, approach to being able to leverage those assets. >>It's funny, you know, I was getting to some of these high scale environments, a lot of these concepts are converging. You know, we had terms like automation, self healing networks. Um, you mentioned microservices early, you mentioned data out of the clouds, the new data center, uh, or when's the new land. However, we're gonna look at it. It's a whole different architecture. So I want to get your thoughts on, on the automation piece of networking and internet outages, for instance, um, because when you, you know, there's so many outages going up and down, it is like, uh, catching, looking for a needle in a haystack, right. So, um, we've had this conversation with you guys on the cube before, how does automation occur when you guys look at those kinds of things? Uh, what's important to look at, can you comment on and react to, you know, the internet outages and how you find resolve those? >>Yeah. It's um, it was really great. And as you mentioned, automation really in a place that a key, when you think about the, just a broad problem that it is trying to drive and, you know, from our lens, we look at it in really three ways. You're first off is you have to be able to gain the level of visibility from where it matters and be able to, to test and be able to provide that level of active measurements across the, the type of ways you want to be able to inspect the network. But then also from the right vantage points, you want to inspect it. But what we talk about right aside, you know, data alone, doesn't solve that problem. As you mentioned, that needle in the haystack, you know, data just provides the raw metrics that are screaming across the screen, and you have to then enable that data to provide meeting. >>You need to enable that data become intelligent. And that intelligence comes through the automation of being able to process that data very quickly, allow you to be able to see the unseen, allow you to be able to quickly understand the issues that are happening across this digital supply chain to identify issues that are even happening outside of your own control across the public internet. And then the last step of automation really comes in the, of the action, right? How do you enable that intelligence to be put, to use? How do you enable that intelligence to then drive across the rest of your it workflow as well as to be able to be used as a signaling engine, to be able to then make the fundamental changes back at the network fabric, whether that is a dressing or modifying your BGB pairing, that we see happen with our customers using thousand eyes data, to be able to route around major internet outages that we've seen over the past six months, or to be able to then use that data, to be able to optimize the ultimate experience that they're delivering to both our customers, as well as their employees, >>Classic policy based activities. And you take it to a whole nother level. I got to get your thoughts on the employees working at home. Okay. Because, um, you know, most it people like, Oh yeah, we're going to forecast in cases of disruption or a hurricane or a flood or hurricane Sandy, but now with COVID, everyone's working at home. So who would have forecasted a hundred percent, um, you know, work from home, which puts a lot of pressure on him, everything. So I gotta ask you, now that employees are working at home, how do you tie network visibility to the actual user experience? >>Yeah, that's a great question. As you, you know, we saw within our own customer base, you know, when COVID head and we saw this rise of work from home, it teams are really scrambling and said, okay, I have to light up this, say VPN infrastructure, or I need to now be able to support my users in a work from home situation where I don't control the corporate network. In essence, now you have essentially thousands. Every employee is acting across their own corporate network and people were then using thousand eyes in different ways to be able to monitor their safety VPN infrastructure across, uh, back into the corporate network, as well as in using our thousand eyes end point agents that runs on a local, a user's laptop or machine in their home to help you to be able to gain that visibility down to that last mile of connectivity. >>Because when a user calls up support and says, I'm having trouble say accessing my application, whether that's Salesforce or something else, what ultimately might be causing that issue might not necessarily be a Salesforce issue, right? It could be the device and the device performance in terms of CPU, memory utilization. It could be the wifi and the signal quality within your wifi network. It could be your access point. It could be your raw, local home router. It can be your local ISP. It could be the path that you're taking ultimately to your corporate network or that application. There's so many places that could go wrong that are now difficult to be able to see, unless you have the ability to see comprehensively from the user to the application, and to be able to understand that full end to end path, >>You know, it teams have also been disrupted. They've been on offsite prop off property as well, but you got the cloud. How is your technology help the it teams? Can you give some examples there? Um, >>Yeah, great way is, you know, how people use thousand eyes as part of that data sharing ecosystem. Again, that notion of how do you go from visibility to intelligence action and we're in the past, you might be able as an it administrator to walk over to their network team and say, Hey, can you take a look at what I'm seeing now? That's no longer available. So how do you be able to work efficiently as the United organization? You know, we think a thousand eyes in how our customers are using us a thousand times becomes a common operating language that allows them to be able to analyze across from the application down into the underlying infrastructure, through those different layers of the network what's happening. And where do you need to focus your attention? And then furthermore, with 10,000 eyes in terms of a need nibbling, that data sharing ecosystem, leveraging our share link capability really gives them the ability to say, you know, here's what I'm seeing and be able to send that to anybody within the it organization, but it goes even further and many times in recent times, as well as over the course of people using thousand eyes, they take those share links and actually send them to their external providers because they're not just looking to resolve issues within their own it organization. >>They're having to work collaboratively with the different ISP that they're appearing with with their cloud providers that they're appearing, uh, they're leveraging, or the SAS applications that are part of that core dependency of how they deliver their experience. >>I asked you the question when you think about levels of visibility and making the lives easier for it, teams, um, and see a lot of benefits with thousand eyes. You pointed out a few of them. It's got to ask you the question. So if I'm an it person I'm in the trenches, are you guys have, uh, an aspirin or a vitamin or both? Can you give an example because there's a lot of pain point out there. So yeah. Give me a cup, a couple Advils and aspirins, but also you're an enabler to the new things are evolving. You pointed out some use case. You talked about the difference between where you're helping people pain points and also enabling them be successful for it teams. >>Yeah, that's a great analogy. You're thinking it, like you said, it definitely sits on both sides of that spectrum, you know, thousand eyes is the trusted tool, the source of truth for it. Organizations when issues are happening as their alarm bells are ringing, as they are generating the, um, the different, uh, on call, uh, to be able to jump into a worm situation thousand eyes is that trusted source of truth. Allow them to focus, to be able to resolve the issue in the heat of the moment. But that was a nice also when we think about baselining, your experience, what's important is not understanding that experience at that moment in time, but also how that's deviated over time. And so by leveraging thousand eyes on a continuous basis, it gives you the ability to see the history of that experience, to understand how your network is changing is as you mentioned, networks are constantly evolving, right? >>The internet itself is constantly changing. It's an organic system, and you need to be able to understand not only what are the metrics that are moving out of your balance, but then what is potentially the cause of that as a network has evolved. And then furthermore, you can be begin to use that as you mentioned, in terms of your vitamin type of an analogy, to be able to understand the health of your system over time on a baseline basis so that you can begin to be able to ensure its success in a great way to really kind of bring that to light. As people using say, thousand eyes as part of the same SC land-based rollout, where you're looking to seek benchmark and confidence as you look to scale out in either, you know, benchmarking different ISP within that, I feel like connectivity for as you look to ensure a level of success with a single branch to give you that competence, to then scale out to the rest of your organization. >>That's great insights, the classic financial model ROI, you get baseline and upside, right? You got handle the baseline as you pointed out, and the upside music experience connectivity, you know, application performance, which drives revenue, et cetera. So great point. Great insight, Joe. Thank you so much for that insight. It's got a final question for you. I want to just riff a little bit with you on the industry. A lot of us have been having debates about automation. I mean, who doesn't, who doesn't love automation. Automation is awesome, right? Automate things. But as the trend starts going on, as everything is a service or X, a S as it's called, certainly Cisco's going down that road. Talk about your view about the difference between automation and everything is a service because at the end of the day, everything will be a service, but without automation, you really can't have services, right? So, you know, automation, automation, automation, great, great drum to bang all day long, but then also you got the same business side saying as a service, as a service, pushing that into the products means not trivial. Talk about, talk about how you'd look at automation and everything as a service and the relationship and interplay between those two concepts. >>Yeah. Ultimately I think about in terms of what is the problem that the business is trying to solve in ultimately, what is the value that they're trying to face? And in many ways, right, they're being exploded with increase of data that needs, they need to be able to not only processing gather, but then be able to then make use of, and then from that, as we mentioned, once you've processed that data and you'd say, gather the insights from it. You need to be able to then act on that data. And automation plays a key role of allowing you to be able to then put that through your workflow. Because again, as that, it experience becomes even more complex as more and more services get put into that digital supply chain. As you adopt say increased complexity within your infrastructure, by moving to a multicloud architecture where you look to increase the number of say, network services that you're leveraging across that digital experience. >>Ultimately you need the level of automation. You'd be able to see outside of your own vantage point. You need to be able to look at the problem from as broad of a, a broad of a way as possible. And you know, data and automation allows you to be able to do what is fundamentally to do from a very narrow point of view, in terms of the visibility you gather intelligence you generate, and then ultimately, how do you act on that data as quick as possible to be able to provide the value of what you're looking to solve. >>It's like a feature it's under the hood. The feature of everything comes to the surface is automation, data, machine learning, all the goodness in the software. I mean, that's really kind of what we're talking about here. Isn't it a final question for you as we wrap up, uh, dev net create really, again, is going beyond Cisco's dev net community going into the industry ecosystem where developers are there. Um, these are folks that want infrastructure as code. They want network as code. So network programmability, huge topic. We've been having that conversation, uh, with Cisco and others throughout the industry for the past three years. What's your message to developers out there that are watching this who say, Hey, I just want to develop code. Like I want, you know, you guys got that. That was nice. Thanks so much. You know, you take care of that. I just want to write code. What's your message to those folks out there who want to tap some of these new services, these new automation, these new capabilities, what's your message. >>You know, ultimately I think, you know, when you look at thousand eyes, um, you know, from a product perspective, you know, we try to build our product in an API first model to allow you to be able to then shift left of how you think about that overall experience. And from a developer standpoint, you know, what I'd say is, is that while you're developing in your silo, you're going to be part of a larger ultimate system. In your experience you deliver within your application is now going to be dependent upon not only the infrastructure it's running upon, but the network gets connected to, and then ultimately the user and the stance of that user, if I leveraging a thousand eyes and being able to then integrate that into how you think closely on that experience, that's going to help ensure that ultimately the application experience that the is looking to deliver meets that objective. And I think what I would say is, you know, while you need to focus on your, uh, your role as a developer, having the understanding of how you fit into the larger ecosystem and what the reality of the, of how your users will access that application is critical. >>Awesome, Joe, thank you so much. Again, trust is everything letting people understand that what's going on underneath is going to be, you know, viable and capable. You guys got a great product and congratulations on the acquisition that Cisco made of your company. And we've been following you guys for a long time and a great technology chops, great market traction, congratulations to everyone, 1,009. Thanks for coming on today. >>I appreciate it. Thanks for having me >>Vice president of product here with thousand eyes. Now, part of Cisco, John, for your host of the cube cube virtual for dev net, create virtual. Thanks for watching. >>Even prior to the pandemic, there was a mandate to automate the hyperscale cloud companies. They've shown us that to scale. >>You really have to automate your human labor. It just can't keep up with the pace of technology. Now, post COVID that automation mandate is even more pressing. Now what about the marketplace? What are S E seeing on the horizon? The cubes Jeff Frick speaks with Cisco engineers to gather their insights and explore the definite specialized partner program. We've got >>Coon Jacobs. He's the director of systems engineering for Cisco. Good to see Kuhn, >>Thank you for having me >>And joining him as Eric nappy is the VP of system systems engineering for Cisco. Good to see Eric. Good to be here. Thank you. Pleasure. So before we jump into kind of what's going on now in this new great world of programmability and, and control, I want to kind of go back to the future for a minute, because when I was doing some research for this interview, it was Coon. I saw an old presentation that you were giving from 2006 about the changing evolution of the, uh, the changing evolution of networking and moving from. I think the theme was a human centered human centered network. And you were just starting to touch a little bit on video and online video. Oh my goodness, how far we have come, but, but I would love to get kind of a historical perspective because we've been talking a lot and I know Eric son plays football about the football analogy of the network is kind of like an offensive lineman where if they're doing a good job, you don't hear much about them, but they're really important to everything. >>And the only time you hear about them is when a flag gets thrown. So if you look back with the historical perspective, the load and the numbers and the evolution of the network, as we've moved to this modern time, and, you know, thank goodness cause of COVID hit five years ago, 10 years ago, 15 years ago, you know, all of us in the information space would not have been able to make this transition. So I just, I just love to get some historical perspective cause you've been kind of charting this and mapping this for a very long time. >>Yeah, we absolutely have. I think, you know, what you're referring to was back in the day, the human network campaign, and to your point, the load, the number of hosts that traffic, the just overall the intelligence of the network has just evolved tremendously over these last decade and a half, uh, 15 years or so. And you look at where we are now in terms of the programmable nature of the network and what that enables in terms of new degrees of relevance that we can create for the customers. Um, and how, you know, the role of it has changed entirely again, especially during this pandemic, you know, the fact that it's now as a service and elastic, uh, is, is absolutely fundamental to being able to ensure, uh, on an ongoing basis, a great customer experience. And so, uh, it's been, it's been, uh, a very interesting ride. >>Yeah. And then, and then just to close the loop, the, one of your more later interviews talking to Sylvia, your question is, are you a developer or an engineer? So it was, and, and your whole advice to all these network engineers is just, just don't jump in and start doing some coding and learning. So, you know, the focus and really the emphasis and where the opportunity to differentiate as a company is completely shifting gears over to the S you know, really software defined side. >>Oh, absolutely. So, I mean, you look at how the software world and the network has come together and how we're applying now, you know, basically the same construct of CICB pipeline to network, uh, infrastructure, look at network really as code and get all of the benefits from that. And the familiarity of it, the way that our engineers have had to evolve. And that is just, you know, quite, quite significant in, in, in like the skill set. And the best thing is jump in, right. Um, you know, dip your toe in the water, but continue to evolve that skill set. And, uh, you know, don't, don't be shy. It's, it's a leap of faith for some of us who've been in the industry a bit longer. Uh, you know, we like to look at ourselves as the craftsman of the network, but now it's definitely a software centricity and programmability, right? >>So Eric, you've got some digital exhaust out there too, that I was able to dig up going back to 2002 752 page book, and the very back corner of a dark dirty dusty Amazon warehouse is managing Cisco network security, 752 pages. Wow. How has security changed from a time where before I could just read a book, a big book and, you know, throw some protocols in and probably block a bunch of ports to the world that we live in today, where everything is connected. Everything is API driven, everything is software defined. You've got pieces of workloads spread out all over the place and Oh, by the way, you need to bake security in at every single level of the application stack. >>Yeah, no I'm so, wow. Cocoon is that you, you found that book on the I'm really impressed. There was a thank you a little street, correct. So, uh, I want to hit on something that you, you talked about. Cause I think it's very important to, to this overall conversation. If we think about the scale of the network and Coon hit on it briefly, you talked about it as well. We're seeing a massive explosion of devices by the I, you know, it's estimated by the end of this year, there's going to be about 27 billion devices on the global internet. That's about 3.7 devices for every man, woman and child life. And if we extrapolate that out over the course of the next decade on the growth trajectory we're on. And if you look at some of the published research on this, it's estimated there could be upwards of 500 billion devices accessing the global internet on a, on a daily basis. >>And primarily that, that, that is a IOT devices. That's digitally connected devices. Anything that can be connected will be connected, but then introduces a really interesting security challenge because every one of those devices that is accessing the global internet is within a company's infrastructure or accessing pieces of corporate data is a potential attack factor. So we really need to, and I think the right for this is we need to reimagine security because security is, as you said, not about perimeters. You know, I wrote that book back in 2002, I was talking about firewalls and a cutting edge technology was intrusion prevention and intrusion detection. Now we need to look at security really in the, in the guise of, or under the, under the, under the realm of really two aspects, the identity who is accessing the data in the context, what data is being accessed. >>And that is going to require a level of intelligence, a level of automation and the technologies like machine learning and automated intelligence are going to be our artificial intelligence rather are going to be table stakes because the sheer scale of what we're trying to secure is going to be untenable, undercurrent, you know, just current security practices. I mean, the network is going to have to be incredibly intelligent and leverage again, a lot of that, uh, that AI type of data to match patterns of potential attacks and ideally shut them down before they ever cause any type of damage. >>Really interesting. I mean, one thing that COVID has done a bunk many things is kind of retaught us all about the power of exponential curves and how extremely large those things are and how fast they grow. We had Dave runs and on a Google cloud a couple of years ago. And I remember him talking about early days of Google when they were starting to map out kind of, as you described kind of map out their growth curves, and they just figured out they could not hire if they hired everybody, they couldn't hire enough people to deal with it. Right. So really kind of rethinking automation and rethinking about the way that you manage these things and the level, right. The old, is it a pet or is it, or is it, um, uh, part of a herd? And I think it's interesting what you talked about, uh, can really the human powered internet and being driven by a lot of this video, but to what you just said, Eric, the next big wave, right. >>Is IOT and five G. And I think, you know, you talk about 3.7 million devices per person. That's nothing compared to right. All these sensors and all these devices and all these factories, cause five G is really targeted to machine the machines, which there's a lot of them and they trade a lot of information really, really quickly. So, you know, I want to go back to you Coon thinking about this next great wave in a five G IOT kind of driven world where it's kind of like when voice kind of fell off compared to IP traffic on the network. I think you're going to see the same thing, kind of human generated data relative to machine generated data is also going to fall off dramatically as a machine generated data, just skyrocket through the roof. >>Yeah, no, absolutely. And I think too, also what Eric touched on the visibility on that, and they'd be able to process that data at the edge. That's going to catalyze cloud adoption even further, and it's going to know, make the role of the network, the connectivity of it all and the security within that crucially important. And then you look at the role of programmability within that. We're seeing the evolution going so fast. You look at the element of the software defined network in an IOT speed space. We see that we have hosts there that are not necessarily, um, you know, behaving like other hosts would, uh, on a network, for example, manufacturing floor, uh, production robot, or a security camera. And what we're seeing is we're seeing partners and customers employing program ability to make sure that we overcome some of the shortcomings, uh, in terms of where the network is at, but then how do you customize it in terms of the relevance that it can provide, uh, bringing on board, uh, those, uh, those hosts in a very transparent way, and then, you know, keep, keep the agility of it and keep the speed of innovation going. >>Right. >>Right. So Eric, I want to come back to you and shift gears kind of back to the people will leave the IOT and the machines along, along for a minute, but I'm curious about what does beat the boss. I mean, I go to your LinkedIn profile and it's just filled with congratulatory statements, but everyone's talking about beating the boss. You know, it's, it's a really, you know, kind of interesting and different way to, to motivate people, to build this new skillset in terms of getting software certifications, uh, within the Cisco world. And I just thought it was really cute the way that you clearly got people motivated, cause there's posts all over the place and they've all got their, their nice big badge or their certification, but, you know, at a higher level, it is a different motivation to be a developer versus an engineer and a technician. And it's kind of a different point of view. And I just wonder if you could share, you know, some of the ways that you're, you're kind of encouraging, you know, kind of this transformation within your own workforce, as well as the partners, et cetera, and really adopting kind of almost a software first and this program kind of point of view versus, you know, I'm just wiring stuff up. >>Apparently a lot of people like to beat me. So of itself was a, was a, it was a great success, but you know, if we think we take a step back, you know, what is Cisco about as an organization? Um, I mean obviously if you look back to the very early days of our vision, right, it was, it was to change the way the world worked, played, live and learn. And that you think about, and you hit on this when we were, you know, you were discussion with co with Kuhn in the early days of COVID. We really saw that play out as so much shifted from, you know, in-person type of interactions to virtual interactions in the network that, uh, that our, our customers, our partners, our employees built over the course of the last several, the last three decades really helped the world continue to, um, to, to do business for students to continue to go to school or clinicians, to connect with patients. >>If I think about that mission to meet programmability is just the next iteration of that mission, continuing to enable the world to communicate, continuing, to enable customers, employees, uh, partners, uh, to essentially leverage the network for more than just connectivity now to leverage it for critical insight. Again, if we look at some of the, uh, some of the use cases that we're seeing for social distancing and contact tracing and network has a really important place to play there because we can pull insight from it, but it isn't necessarily an out of the box type of integration. So I look at programmability and in what we're doing with, with dev net to give relevance to the network for those types of really critical conversations that every organization is having right now, it's a way to extrapolate. It's a way to pull critical data so that I can make a decision. >>And if that decision is automated, or if that decision requires some type of a manual intervention, regardless, we're still about connecting. And in this case, we're connecting insight with the people who need it most, right. The debit challenge we ran is really in respect for how critical this new skill set is going to be. It's not enough. Like I said, just to connect the world anymore. We need to leverage that network, the network for that critical insight. And when we drove, we were, we created the beat, the boss challenge. It was really simple. Hey guys, I think this is important and I am going to go out and I'm going to achieve the certification myself, because I want to continue to be very relevant. I want to continue to be able to provide that insight for my customers and partners. So therefore I'm going for it. Anybody that can get there before me, maybe there's a little incentive tied to the incentive. Although it's funny, we interviewed a lot of, a lot of our team who, uh, who achieved it when incentive was secondary. They just wanted to have the bragging rights, like, yeah, I beat Eric, right. >>You know, putting your money where your mouth is, right. If it's important, then why, you know, you should do it too. And, and you know, the whole, you're not asking people to do what you wouldn't do yourself. So I think there's a lot of good leadership, uh, leadership lessons there as well. But I want to extend kind of the conversation on the covert impact, right? Cause I'm sure you've seen all the social media meme, you know, who's driving your digital transformation, the CEO, the CMO or COVID. And we all know the answer to the question, but you know, you guys have already been dealing with kind of an increased complexity around enterprise infrastructure world in terms of cloud and public cloud and hybrid cloud and multi cloud. And people are trying to move stuff all, all the way around now suddenly had this COVID moment right in, in March, which is really a light switch moment. >>People didn't have time to plan or prepare for suddenly everybody working from home. And it's not only you, but your spouse and your kids and everybody else. So, but now we're six months plus into this thing. And I would just love to get your perspective and kind of the change from, Oh my goodness, we have to react to the light switch moment. What do we do to make sure people can, can get, get what they need when they need it from where they are. Uh, but, but then really moving from this is a, an emergency situation, a stop gap situation to, Hmm, this is going to extend for some period of time. And even when it's the acute crisis is over, you know, this is going to drive a real change in the way that people communicate in the way that people, where they sit and their jobs and, and kind of how customers are responding accordingly as the, you know, kind of the narrative has changed from an emergency stop gap to this is the new normal that we really need to plan for. >>So, uh, I think, I think you said it very well. I think anything that could be digitized, any, any interaction that could be driven virtually was, and what's interesting is we, as you said, we went from that light switch moment where I believe the stat is this, and I'll probably get the number wrong, but like in the United States here at the beginning, at the end of February, about 2% of the knowledge worker population was virtual, you know, working from home or in a remote work environment. And over the course of about 11 days, that number went from 2% to 70%. Wow. Interesting that it worked, you know, there was a lot of hiccups along the way, and there was a lot of organizations making really quick decisions on how do I enable VPN scale of mass? How do I, you know, leverage, uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, much faster now that as you said, that we kinda gotten out of the fog of war or frog fog of battle organizations are looking at what they accomplished. >>And it was nothing short of Herculean and looking at this now from a transition to, Oh my gosh, we need to change too. We have an opportunity to change. And we're looking, we see a lot of organizations specifically around, uh, financial services, healthcare, uh, the, uh, the K through 20, uh, educational environment, all looking at how can they do more virtually for a couple of reasons. Obviously there is a significant safety factor. And again, we're still in that we're still on the height of this pandemic. They want to make sure their employees, their customers, students, patients remain safe. But second, um, we've found in, in discussions with a lot of senior it executives that are customers that people are happier working from home. People are more productive working from home. And that, again, the network that's been built over the course of the last few decades has been resilient enough to allow that to happen. >>And then third, there is a potential cost savings here outside of people. The next most expensive resource that organizations are paying for is real estate. If they can shrink that real estate footprint while providing a better user experience at the locations that they're maintaining, again, leveraging things like location services, leveraging things like a unified collaboration. That's very personalized to the end user's experience. They're going to do that. And again, they're going to save money. They're going to have happier employees and ultimately they're going to make their, uh, their employees and their customers a lot safer. So we see, we believe that there is in some parts of the economy, a shift that is going to be more permanent in some estimates, put it as high as 15% of the current workforce is going to >>Stay in a virtual or a semi virtual working environment for the foreseeable future. >>Interesting. And I, and I, and I would say, I'd say 15% is low, especially if you, if you qualify it with, you know, part-time right. I, there was a great interview we were doing and talking about working from home, we used to work from home as the exception, right? Cause the cable person was coming, are you getting a new washing machine or something where now that's probably getting, you know, in many cases we'll shift to the other where I'm generally going to work from home, unless, you know, somebody is in town or having an important meeting or there's some special collaboration, uh, that drives me to be in. But you know, I want to go back to you Kuhn and, and really doubled down on, you know, I think most people spent too much time focusing, especially, we'll just say within the virtual events space where we play on the things you can't do virtually, we can't meet in the hall. >>We can't grab a quick coffee and a drink instead of focusing on the positive things like we're accomplishing right here, you're in Belgium, right. Eric is in Ohio, we're in California. Um, and you know, we didn't take three days to travel and, and check into a hotel and, and all that stuff to get together, uh, for this period of time. So there's a lot of stuff that digital enables. And I think, you know, people need to focus more on that versus continuing to focus on the two or three things that, that it doesn't replace and it doesn't replace those. So let's just get that off the table and move on with our lives. Cause those aren't coming back anytime soon. >>No, totally. I think it's the balance of those things. It's guarding the fact that you're not necessarily working for home. I think the trick there is you could be sleeping at the office, but I think the positives are way, way more outspoken. Um, I, you know, I look at myself, I got much more exercise time in these last couple of months than I usually do because you don't travel. You don't have the jet lag and the connection. And then you talked about those face to face moments. I think a lot of people are in a way, um, wanting to go back to the office part-time as, as Eric also explain, but a lot of it you can do virtually we have virtual coffees with team, or, you know, even here in Belgium, our local general manager has a virtual effort, TIF every Friday, obviously skip the one this week. But, uh, you know, there's, there's ways to be very creative with the technology and the quality of the technology that enables, um, you know, to, to get the best of both worlds. Right? >>So I just, we're going to wrap the segment. I want to give you guys both the last word you both been at Cisco for a while and, you know, Susie, we, and the team on dev net has really grown this thing. I think we were there at the very beginning couple of four or five, six years ago. I can't keep track of time anymore, but it has really, really grown. And, you know, the timing is terrific to get into this more software defined world, which is where we are. I wonder if you could just, you know, kind of share a couple of thoughts as you know, with a little bit of perspective and you know, what you're excited about today and kind of what you see coming down the road since you guys have been there for a while you've been in this space, uh, let's start with Yukon. >>I think the possibility it creates, I think really programmability software defined is really >>About the art of the possible it's what you can dream up and then go code. Um, Eric talked about the relevance of it and how it maximizes the relevance on a customer basis. Um, you know, and then it is the evolution of the teams in terms of the creativity that they can bring to us. We've seen really people dive into that and customers co-creating with us. And I think that's where we're going in terms of the evolution of the value proposition there in terms of what technology can provide, but also how it impacts people as we discussed and redefines process >>That the art of the possible, which is a lot harder to execute in a, in hardware than software certainly takes a lot longer. I'd love to get your, uh, your thoughts. >>Absolutely. So I started my career at Cisco, uh, turning, uh, putting IP phones onto the network. And back then, you know, it was, you know, 2001, 2002, when, uh, the idea of putting telephones onto the network was such a, um, just such an objectionable idea. And so many purists were telling us all the reasons it wouldn't work. Now, if we go forward again, 19 years, the idea of not having them plugging into the network is a ridiculous idea. So we have a, we're looking at an inflection point in this industry and it's really, it's not about programming. It's not necessarily about programming. It's about doing it smarter. It's about being more efficient. It's about driving automation, but again, it's, it's about unlocking the value of what the network is. We've moved so far past. What can, you know, just connectivity, the network touches everything and there's more workload moves to the cloud is more workload moves to things like containers. >>Um, the network is the really, the only common element that ties all of these things together. The network needs to take its rightful place in the end, the it lexicon as being that critical or that critical insight provider, um, for, for how users are interacting with the network, how users are interacting with applications, how applications are interacting with one, another program ability is a way to do that more efficiently, uh, with greater a greater degree of certainty with much greater relevance into the overall delivery of it services and digitization. So to me, I think we're going to look back 20 years from now, probably even 10 and say, man, we used to configure things manually. What was that like? I think, I think really this is, this is the future. And I think we want to be aligned with where we're going versus where we've been. Right. >>Well, Coon, Eric, thank you for sharing your perspective. You know, it's, it's really nice to have, you know, some historical reference, uh, and it's also nice to be living in a new age where you can, you can, you know, stay at the same company and still refresh, you know, new challenges, new opportunities and grow this thing. Cause as you said, I remember those IP first IP phone days and I thought, well, my bell must be happy because the old mother's problem is finally solved. And when we don't have to have a dedicated connection between every mother and every child in the middle of may. So good news. So thank you very much for sharing your, uh, your insights and really, uh, really enjoyed the conversation. >>Thank you. >>We've been covering dev net create for a number of years. I think since the very first show and Susie, we and the team really built, uh, a practice built a company, built a lot of momentum around software in the Cisco ecosystem and in getting devs really to start to build applications and drive kind of the whole software defined networking thing forward. And a big part of that is partners and working with partners and, and developing solutions and, you know, using brain power. That's outside of the four walls of Cisco. So we're excited to have, uh, our next guest, uh, partner for someone is Brad Hoss. He is the engineering director for dev ops at Presidio, Brad. Great to see you. >>Hey Jeff, great to be here. >>And joining him is Chuck Stickney. Chuck is the business development architect for Cisco DevNet partners and he has been driving a whole lot of partner activity for a very long period of time. Chuck, great to see you. >>Thanks Jeff. Great to be here and looking forward to this conversation. >>So let's, let's start with you Chuck, because I think, um, you know, you're leading this kind of partner effort and, and you know, software defined, networking has been talked about for a long time and you know, it's really seems to be maturing and, and software defined everything right. Has been taking over, especially with, with virtualization and moving the flexibility and the customer program ability customability in software and Mo and taking some of that off the hardware. Talk about, you know, the programs that you guys are putting together and how important it is to have partners to kind of move this whole thing forward, versus just worrying about people that have Cisco badges. >>Yeah, Jeff, absolutely. So along this whole journey of dev net where we're, we're trying to leverage that customization and innovation built on top of our Cisco platforms, most of Cisco's business is transacted through partners. And what we hear from our customers and our partners is they want to, our customers want a way to be able to identify, does this partner have the capabilities and the skills necessary to help me go down this automation journey I'm trying to do, do a new implementation. I want to automate that. How can I find a partner to, to get there? And then we have some of our partners that have been building these practices going along this step, in that journey with us for the last six years, they really want to say, Hey, how can I differentiate myself against my competitors and give an edge to my customers to show them that, yes, I have these capabilities. I've built a business practice. I have technology, I have technologists that really understand this capability and they have the dub net certifications to prove it helped me be able to differentiate myself throughout our ecosystem. So that's really what our Danette partner specialization is all about. Right. >>That's great. And Brad, you're certainly one of those partners and I want to get your perspective because partners are oftentimes a little bit closer to the customer cause you've got your kind of own set of customers that you're building solutions and just reflect on, we know what happened, uh, back in March 15th, when basically everybody was told to go home and you can't go to work. So, you know, there's all the memes and social media about who, you know, who pushed forward your digital transformation, the CEO, the CMO, or COVID. And we all know what the answer is, whatever you can share some information as to what happened then, and really for your business and your customers, and then reflect now we're six months into it, six months plus, and, and you know, this new normal is going to continue for a while. How's the customer attitudes kind of changed now that they're kind of buckled down past the light switch moment and really we need to put in place some foundation to carry forward for a very long time potentially. >>Yeah, it's really quite interesting actually, you know, when code first hit, we got a lot of requests to help with automation of provisioning our customers and in the whole, you know, digital transformation got really put on hold for a little bit there and I'd say it became more of, of the workplace transformation. So we were quickly, uh, you know, migrating customers to, you know, new typologies where instead of the, the, you know, users sitting in those offices, they were sitting at home and we had to get them connected rapidly in a, we, we didn't have a lot of success there in those beginning months with, you know, using automation and programmability, um, building, you know, provisioning portals for our customers to get up and running really fast. Um, and that, that, that was what it looked like in those early days. And then over time, I'd say that the asks from our customers has started to transition a little bit. >>You know, now they're asking, you know, how can I take advantage of the technology to, you know, look at my offices in a different way, you know, for example, you know, how many people are coming in and out of those locations, you know, what's the usage of my conference rooms. Um, are there, uh, are there, um, situations where I can use that information? Like how many people are in the building and at a certain point in time and make real estate decisions on that, you know, like, do I even need this office anymore? So, so the conversations have really changed in, in ways that you couldn't have imagined before March. >>Right. And I wonder with, with you Chuck, in terms of the Cisco point of view, I mean, the network is amazing. It had had, COVID struck five years ago, 10 years ago, 15 years ago, you know, clearly there's a lot of industries that are suffering badly entertainment, um, restaurant, business, transportation, they, you know, hospitality, but for those of us in kind of the information industry, the switch was pretty easy. Um, you know, and, and the network enables the whole thing. And so I wonder if, you know, kind of from your perspective as, as suddenly, you know, the importance of the network, the importance of security and the ability now to move to this new normal very quickly from a networking perspective. And then on top of that, having, you know, dev net with, with the software defined on top, you guys were pretty much in a good space as good as space as you could be given this new challenge thrown at you. >>Yeah, Jeff, we completely agree with that. Uh, Cisco has always pushed the idea that the network is transformational. The network is the foundation, and as our customers have really adopted that message, it is enabled that idea for the knowledge workers to be able to continue on. So for myself, I've, I've worked for home the entire time I've been at Cisco. So the last 13 years, this is, you know, the, the change to the normalcy is I never get on a plane anymore, but my day to day functions are still the same. And it's built because of the capabilities we have with the network. I think the transition that we've seen in the industry, as far as kind of moving to that application type of economy, as we go to microservices, as we go to a higher dependency upon cloud, those things have really enabled the world really to be able to better respond to this, to this COVID situation. And I think it's helped to, to justify the investments that's that our customers have made as well as what our partners have been, being able to do to deliver on that multicloud capability, to take those applications, get them closer to the end user instead of sitting in a common data center and then making it more applicable to, to users wherever they may be, not just inside of that traditional four walls. >>Right, right. That's interesting. And Brad, you, you made a comment on another interview. I was watching getting ready for this one in terms of, uh, applications now being first class citizens was, was what you said. And it's kind of interesting coming from an infrastructure point of view, where before it was, you know, what do I have and what can I build on it now, I really it's the infrastructure that responds back to the application. And even though you guys are both in the business of, of networking and infrastructure, it's still this recognition that apps first is the way to go, because that gives people the competitive advantage that it gives them the ability to react in the marketplace and to innovate and move faster. So, you know, it's, it's a really interesting twist to be able to support an application first, by having a software defined in a more programmable infrastructure stack. >>Yeah, no doubt. And, you know, I think that the whole push to cloud was really interesting in the early days, it was like, Hey, we're going to change our applications to be cloud first. You know? And then I think the terminology changed over time, um, to more cloud native. So when we, when we look at what cloud has done over the past five years with customers moving, you know, their, their assets into the cloud in the early days that we were all looking at it just >>Like another data center, but what it's really become is a place to host your applications. So when we talk about cloud migrations with our customers now, we're, we're no longer talking about, you know, the assets per se, we're talking about the applications and what, what did those applications look like? And even what defines an application right now, especially with the whole move to cloud native and microservices in the automation that helps make that all happen with infrastructure as code. You're now able to bundle the infrastructure with those applications together as a single unit. So when you define that application, as infrastructure, as code the application in the definition of what those software assets for the infrastructure are, all are wrapped together and you've got change control, version control, um, and it's all automated, you know, it's, it's a beautiful thing. And I think it's something that we've all kind of hoped would happen. >>You know, when I look back at the early definitions of software defined networking, I think everybody was trying to figure it out and they didn't really fully understand what that meant now that we can actually define what that network infrastructure could look like as it's, as it's wrapped around that application in a code template, maybe that's Terraform or Ansible, whatever that might be, whatever method or tool that you're using to, to bring it all together. It's, it's, you know, it's really interesting now, I think, I think we've gotten to the point where it's starting to make a lot more sense than, you know, those early days of SDN, uh we're out, you know, it was a, was it a controller or is it a new version of SNMP? You know, now it makes sense. It's actually something tangible. Right, >>Right. But still check, as you said, right. There's still a lot of API APIs and there's still a lot of component pieces to these applications that are all run off the network that all have to fit, uh, that had to fit together. You know, we cover PagerDuty summit and you know, their whole thing is trying to find out where the, where the problems are within the very few microseconds that you have before the customer abandons their shopping cart or whatever the particular application. So again, the network infrastructure and the program ability super important. But I wonder if you could speak to the automation because there's just too much stuff going on for individual people to keep track of, and they shouldn't be keeping track of it because they need to be focusing on the important stuff, not this increasing amount of bandwidth and traffic going through the network. >>Yeah, absolutely. Jeff said the bandwidth that's necessary in order to support everybody working from home to support this video conference. I mean, we, we used to do this sitting face to face. Now we're doing this over the internet. The amount of people necessary to, to be able to facilitate that type of traffic. If we're doing it the way we did 10 years ago, we would not >>Scale it's automation. That makes that possible. That allows us to look higher up the ability to do that automatic provisional provisioning. Now that we're in microservices now that everything is cloud native, we have the ability to, to better, to better adjust to and adapt to changes that happen with the infrastructure below hand. So if something goes wrong, we can very quickly spend something up to take that load off where traditionally it was open up a ticket. Let me get someone in there, let me fix it. Now it's instantaneously identify the solution, go to my playbook, figure out exactly what solution I need to deploy and put that out there. And the network engineering team, the infrastructure engineering team, they just simply need to get notified that this happened. And as long as there's traceability and a point that Brad made, as far as you being able to go through here doing the automation of the documentation side of it. >>I know when I was a network engineer, one of the last things we ever did was documentation. But now that we have the API is from the infrastructure. And then the ability to tie that into other systems like an IP address management or a change control, or a trouble ticketing system, that whole idea of I made an infrastructure change. And now I can automatically do that documentation update and record. I know who did it. I know when they did it and I know what they did, and I know what the test results were even five years ago, that was fantasy land. Now, today that's just the new normal, that's just how we all operate. >>Right. Right, right. So I want to get your take on the other trend, which is cloud multicloud, public cloud. You know, as, as I think you said Brad, when public cloud first came out, there was kind of this, this rush into, we're going to throw everything in there then for, for, for different reasons. People decided maybe that's not the best, the best solution, but really it's horses for courses. Right. And, and I think it was pretty interesting that, that you guys are all supporting the customers that are trying to figure out where they're going to put their workloads. And Oh, by the way, that might not be a static place, right. It might be moving around based on, you know, maybe I do my initial dev and, and, and Amazon. And then when I go into production, maybe I want to move it into my data center. >>And then maybe I'm having a big promotion or something I want to flex capability. So from, from your perspective and helping customers work through this, because still there's a lot of opinions about what is multicloud, what is hybrid cloud and, you know, it's horses for courses. How are you helping people navigate that? And what does having programmable infrastructure enable you to do for helping customers kind of sort through, you know, everybody talks about their journey. I think there's still kind of bumbling down, bumbling down paths, trying to find new things, what works, what doesn't work. And I think it's still really early days and trying to mesh all this stuff together. Yeah, >>Yeah. No doubt. It is still early days. And you know, I, I, I go back to it being application centric because, you know, being able to understand that application, when you move to the cloud, it may not look like, what did he still look like when you, when you move it over there, you may be breaking parts off of it. Some of them might be running on a platform as a service while other pieces of it are running as infrastructure as a service. >>And some of it might still be in your data center. Those applications are becoming much more complex than they used to be because we're breaking them apart into different services. Those services could live all over the place. So with automation, we really gain the power of being able to combine those things. As I mentioned earlier, those resources, wherever they are, can be defined in that infrastructure as code and automation. But you know, the side from provisioning, I think we focus a lot about provisioning. When we talk about automation, we also have these amazing capabilities on, on the side of operations too. Like we've got streaming telemetry in the ability to, to gain insights into what's going on in ways that we didn't have before, or at least in the, in, you know, in the early days of monitoring software, right. You knew exactly what that device was, where it was. >>It probably had a friendly name, like maybe it was, uh, something from the Hobbit right now. You've got things coming up and spinning and spinning up and spinning down, moving all over the place. And that thing you used to know what that was. Now, you have to quickly figure out where it went. So the observability factor is a huge thing that I think everybody should be paying attention to attention, to moving forward with regards to when you're moving things to the cloud or even to other data centers or, you know, in your premise, um, breaking that into microservices, you really need to understand what's going on in the, you know, programmability and API APIs and, you know, yang models are tied into streaming telemetry. Now there's just so many great things coming out of this, you know, and it's all like a data structure that, that people who are going down this path and the dev net path, they're learning these data structures and being able to rationalize and make sense of them. And once you understand that, then all of these things come together, whether it's cloud or a router or switch, um, Amazon, you know, it doesn't matter. You're, you're all speaking a common language, which is that data structure. >>That's great. Chuck, I want to shift gears a little bit, cause there was something that you said in another interview when I was getting ready for this one about, about Deb, not really opening up a whole different class of partners for Cisco, um, as, as really more of a software, a software lead versus kind of the traditional networking lead. I wonder if you can put a little more color on that. Um, because clearly as you said, partners are super important. It's your primary go to market and, and Presidios, I'm sure the best partner that you have in the whole world that's and you know, you said there's some, there's some non traditional people that would not ever be a Cisco partner that suddenly you guys are playing with because of really software lead. >>Yeah. Jeff that's exactly right. So as we've been talking to folks with dev nets and whether it'd be at one of the Cisco live events in the dev net zone or at the prior dev net create events, we'll have, we'll have people come up to us who Cisco today views us as a customer because they're not in our partner ecosystem. They want to be able to deliver these capabilities to our customers, but they have no interest in being in the resell market. This what we're doing with the dev that specialization gives us the ability to bring those partners into the ecosystem, share them with our extremely large dev net community so they can get access to those, to those potential customers. But also it allows us to do partner to partner type of integration. So Brad and Presidio, they built a fantastic networking. They always have the fantastic networking business, but they built this fantastic automation business that's there, but they may come into, into a scenario where it's working with their vertical and working with the technology piece, that they may not have an automation practice for. >>We can leverage some of these software specific partners to come in there and do a joint, go to markets where, so they can go where that traditional channel partner can leverage their deep Cisco knowledge in those customer relationships that they have and bring in that software partner almost as a subcontractor to help them deliver that additional business value on top of that traditional stack, that brings us to this business outcomes. If the customers are looking for and a much faster fashion and a much more collaborative fashion, that's terrific. Well, again, it's a, it's, it's unfortunate that we can't be in person. I mean, the, the Cisco dev net shows, you know, they're still small, they're still intimate. There's still a lot of, uh, information sharing and, you know, great to see you. And like I said, we've been at the computer museum, I think the last couple of years and in, in San Francisco. So I look forward to a time that we can actually be together, uh, maybe, maybe for next year's event, but, uh, thank you very much for stopping by and sharing the information. Really appreciate it. It happens happy to be here >>From around the globe. It's the cube presenting, accelerating automation with dev net brought to you by Cisco. What I'm Sean for the cube, your host for accelerating automation with dev net with Cisco. And we're here to close out the virtual event with Mindy Whaley, senior director, Mandy, take it away. >>Thank you, John. It's been great to be here at this virtual event, hearing all these different automation stories from our different technology groups, from customers and partners. And what I'd like to take a minute now is to let people know how they can continue this experience at dev net create, which is our free virtual event happening globally. On October 13th, there's going to be some really fun stuff. We're going to have our annual demo jam, which is kind of like an open for demos where the community gets to show what they've been building. We're also going to be, um, giving out and recognizing our dev net creator award winners for this year, which is a really great time where we recognize our community contributors who have been giving back to the community throughout the year. And then we find really interesting channels. We have our creators channels, which is full of technical talks, lightening talks. >>This is where our community, external Cisco people come in share what they've been working on, what they've been working learning during the year. We also have a channel called API action, which is where you can go deep into IOT or collaboration or data center automation and get demos talks from engineers on how to do certain use cases. And also a new segment called straight from engineering, where you get to hear from the engineers, building those products as well. And we have a start now for those people just getting started, who may need to dive into some basics around coding, API APIs and get that's a whole channel dedicated to getting them started so that they can start to participate in some of the fun challenges that we're going to have during the event. And we're going to have a few fun things. Like we have some definite, um, advocate team members who are awesome, musically talented. They're going to share some performances with us. So, um, we encourage everyone to join us there. Pick your favorite channel, uh, join us in whichever time zone you live in. Cause we'll be in three different time zones. And, um, we would love for you to be there and to hear from you during the event. >>That's awesome. Very innovative, multiple time zones, accelerating automation with dev net. Thank you so much for watching and we'll see you at dev net create thanks for watching.
SUMMARY :
the way we work and the kinds of work that we do, the cube has pulled They're going to help us understand how to apply automation to your into the theme, accelerating automation with dev net, because you said to me, to get there, what you need to do is automate everything. you know, not to get in the weeds, but you know, switches and hubs and wireless. kind of, you know, just, you know, uh, blocked off rooms to really be secure And they had to, because you couldn't just go into a server room and tweak your servers, So those things, again, all dev ops and you know, you guys got some acquisitions youth about thousand And, um, you know, going back to Todd Nightingale, right. So all of a sudden CEOs were actually, you know, calling on the heads of it and the CIO and saying, It's also about people rising to the level of, you know, I know you got to go, but stay with us. Thank you so much. And one of the things that's close to your heart starting to look at, you know, things like DevSecOps engineer, network, And then how do people build the skills to be Eric, I want to go to you for a quick second on this, um, um, piece of getting the certifications. So, you know, as opposed to in person where you know, helping you answer questions, helping provide content. I got to ask you on the trends around automation, what skills all of the different parameters that it departments might care about, about their firewalls, things that you do normally out, okay, now I can take that and I can adapt it to what I need to see for my observability. it's going to be a focus and people are at home and you guys had a lot of content online for you recorded every who want to be able to, you know, dive into a topic, do a hands on lab, you know, read the instructions, read the manual, do the deeper learning. you know, end to end programmability and with everything as a service that you guys are doing everything with API with you at every definite event over the past years, you know, that's bringing APIs across our action going on in cloud native right now, your thoughts? So, whereas it used to be, you know, confined by the walls that we were within for the event. So I'm really excited to bring that whole mix together, as well as getting some of our business units together it is it it's happening in three regions and um, you know, we're so excited to see the people So thank you so much for taking the time to come on the cube and talk about Thank you so much for watching and we'll see you at dev net create thanks for watching Jeffrey Hey, good to see you too. you know, especially like back in March and April with this light moment, which was, customers when suddenly, you know, March 16th hit and everybody had to go home? And you know, it was 2000, he still West, You know, it's, it's amazing to think, you know, had this happened, you know, five years ago, but as I said, resiliency just became so much more important than, you know, you know, kind of how the market is changing, how you guys are reacting and really putting the things in place to you know, most people call hybrid cloud or multi-cloud, uh, in, in the end, what it is, And so really what you want to put in place is what we call like the cloud on ramp, on the things that they should be focusing and not stuff that, that hopefully you can, you know, And it said the tech line, I have, you know, sometimes when my mind is really going from a Some just, you know, I use these API APIs and use normal And it's funny, we, we recently covered, you know, PagerDuty and, and they highlight what And what traditional process you have a request network, operation teams executes the request opportunity that the dev ops or the application team actually says, Hey, I got to write a whole infrastructure You know, cause the, you know, the DevOps culture has taken over a lot, none of this is really actually, you know, a little bit of credit, maybe some of us where we have a vision, Uh, and so that is the emotion we're in for all the, you know, And I wonder if, you know, when you look at what's happened with public cloud and Uh, and that just drives then what tools do you want to have available to actually Then they have the ability to react to, uh, to some of these requirements. And that's really in the enticing. They just want to, you know, deliver business benefit to their customers and respond to, uh, network provides something and you use to, uh, this is what I want to do. They have all the capabilities there. Is it the CEO, the CMO or COVID, and we all know the answer to the question. you know, the best reasons you can have. Lots of information is kind of, it's still kind of that early vibe, you know, where everyone is still really enthusiastic with automation and programmability I mean, we were, you know, we, we, it was in the back of our minds in January, you know, um, remote work, remote education, you know, that 16%, you know, going forward indefinitely. Yeah, I just think, uh, from a mindset standpoint, you know, what was optional, And essentially the way you describe it, as you know, your job as a security practitioner And so the question is, you know, how, how do we up our game there so that we I want to ask you about automation generally, and then specifically how it applies to security. Um, you know, just because you can automate something doesn't mean you should, the bad guys, the adversaries are essentially, you know, weaponizing using your you know, having the automation to contain them, to eradicate them, uh, GDP, but guys, I wonder if you could bring up the chart because when you talk to CSOs and you ask And so you can see on the horizontal axis, you've got a big presence in the data set. Um, that's the frustration customers have, you know, cloud I'm safe, but you know, of course we know it's a shared responsibility model. I think cloud, um, when you look at the services that are delivered via the cloud, but, you know, I wonder if you could, you could talk a little bit about that trend and where you see it going. for, um, you know, doing all the machine scale stuff. It's good from the standpoint of awareness, you know, you may or may not care if you're a social media user. for one community might be, you know, not the same for the other. you know, society has to really, really take this on as your premise. front of the room and said, you know, all you techies, you judge efficiency by how long it takes. so to that point, but, um, so what, what else are you working on these days that, uh, again, you know, all of these security tools, no matter how fancy it is, You know, the, you know, And it's so familiar to me because, you know, um, I, of, you know, of silo busters, isn't it? So I really appreciate the time you spend on the cube. You have the keys to the kingdom, you know, their, their walls outside of the Cisco network operators, network engineers. And I think, you know, that change alone really kind of amplified. you got a ton of modern apps running along for these networks. And then those applications themselves are becoming now, as you mentioned, distributed largely based upon to be able to see, to gain that visibility, that experience, you know, to measure it and understand, It's funny, you know, I was getting to some of these high scale environments, a lot of these concepts are converging. But what we talk about right aside, you know, data alone, doesn't solve that problem. to process that data very quickly, allow you to be able to see the unseen, And you take it to a whole nother level. you to be able to gain that visibility down to that last mile of connectivity. to see, unless you have the ability to see comprehensively from the user but you got the cloud. And where do you need to focus your attention? They're having to work collaboratively with the different ISP that they're appearing with with their It's got to ask you the question. And so by leveraging thousand eyes on a continuous basis, it gives you the ability to see And then furthermore, you can be begin to use that as you mentioned, in terms of your vitamin type of an analogy, You got handle the baseline as you pointed out, and the upside music experience connectivity, And automation plays a key role of allowing you to be able to then put that through your workflow. And you know, you know, you guys got that. And I think what I would say is, you know, is going to be, you know, viable and capable. I appreciate it. Now, part of Cisco, John, for your host of the cube cube Even prior to the pandemic, there was a mandate to automate the You really have to automate your human labor. He's the director of systems engineering for Cisco. I saw an old presentation that you were giving from 2006 And the only time you hear about them is when a flag gets thrown. Um, and how, you know, the role of it has changed as a company is completely shifting gears over to the S you know, really software defined side. And that is just, you know, quite, quite significant in, a book, a big book and, you know, throw some protocols in and probably block a bunch of ports to We're seeing a massive explosion of devices by the I, you know, it's estimated by the end security is, as you said, not about perimeters. going to be untenable, undercurrent, you know, just current security practices. And I think it's interesting what you talked about, uh, Is IOT and five G. And I think, you know, you talk about 3.7 million devices And then you look at the role of programmability within that. And I just thought it was really cute the way that you clearly got people motivated, And that you think about, and you hit on this when we were, of that mission, continuing to enable the world to communicate, continuing, and I am going to go out and I'm going to achieve the certification myself, because I want to continue to If it's important, then why, you know, you should do it too. it's the acute crisis is over, you know, this is going to drive a real change you know, leverage, uh, you know, things like WebEx for virtual meetings and virtual connectivity, And that, again, the network that's been built over the course of the last few decades has been And again, they're going to save money. you know, in many cases we'll shift to the other where I'm generally going to work from home, unless, you know, And I think, you know, people need to focus more on that And then you talked about those face to face moments. And, you know, the timing is terrific to get into this more software defined world, About the art of the possible it's what you can dream up and then go code. That the art of the possible, which is a lot harder to execute in a, in hardware than software And back then, you know, it was, you know, 2001, 2002, And I think we want to be aligned with where we're going you know, some historical reference, uh, and it's also nice to be living in a new age where you can, you know, using brain power. Chuck is the business development architect for Cisco DevNet Talk about, you know, the programs that you guys are putting together and how important it is to have partners to kind and the skills necessary to help me go down this automation journey I'm trying to do, And we all know what the answer is, whatever you can share some information as to what happened then, and in the whole, you know, digital transformation got really put on hold for You know, now they're asking, you know, how can I take advantage of the technology to, And so I wonder if, you know, kind of from your perspective as, as suddenly, So the last 13 years, this is, you know, the, the change to the normalcy is I And even though you guys are both in the business of, of networking and infrastructure, it's still this recognition And, you know, I think that the whole push to cloud was really interesting we're, we're no longer talking about, you know, the assets per se, we're talking about the applications starting to make a lot more sense than, you know, those early days of SDN, You know, we cover PagerDuty summit and you know, their whole thing is trying to find out Jeff said the bandwidth that's necessary in order to support everybody working And as long as there's traceability and a point that Brad made, as far as you being able to go through here doing the automation And then the ability to tie that into other systems And, and I think it was pretty interesting that, that you guys are all supporting the customers And what does having programmable infrastructure enable you to do I go back to it being application centric because, you know, But you know, the side from provisioning, I think we focus a lot about provisioning. things to the cloud or even to other data centers or, you know, in your premise, and Presidios, I'm sure the best partner that you have in the whole world that's and you one of the Cisco live events in the dev net zone or at the prior dev net create events, There's still a lot of, uh, information sharing and, you know, great to see you. accelerating automation with dev net brought to you by Cisco. And then we find really interesting channels. And also a new segment called straight from engineering, where you get to hear from the engineers, Thank you so much for watching and we'll see you at dev net create thanks
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Mandy | PERSON | 0.99+ |
Sylvia | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Eric | PERSON | 0.99+ |
Susie | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Susie Mandy | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
California | LOCATION | 0.99+ |
Joe Vaccaro | PERSON | 0.99+ |
Dave Volante | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
2006 | DATE | 0.99+ |
Alice | PERSON | 0.99+ |
Joe | PERSON | 0.99+ |
Eric nappy | PERSON | 0.99+ |
Ohio | LOCATION | 0.99+ |
Belgium | LOCATION | 0.99+ |
Europe | LOCATION | 0.99+ |
Thomas Scheiber | PERSON | 0.99+ |
Bob | PERSON | 0.99+ |
October | DATE | 0.99+ |
January | DATE | 0.99+ |
Barcelona | LOCATION | 0.99+ |
2002 | DATE | 0.99+ |
Asia | LOCATION | 0.99+ |
March | DATE | 0.99+ |
Susie Lee | PERSON | 0.99+ |
Jeff | PERSON | 0.99+ |
2% | QUANTITY | 0.99+ |
China | LOCATION | 0.99+ |
Dave | PERSON | 0.99+ |
Koen Jacobs and Eric Knipp V1
>>Around the globe. It's the presenting accelerating automation brought to you by Cisco. >>Hey, welcome back everybody. Jeff Frick here with the cube coming to you from our Palo Alto studios with ongoing coverage of Cisco dev net create, we've been going to dev net create, I think since the very beginning this year, of course, like everything else is virtual. So we're excited to cover it virtually and digitally. Like we have a lot of other shows here in 2020, and we're excited to have our next guest. We've got a Coon Jacobs. He's the director of systems engineering for Cisco. Good to see Kuhn. >>Thank you for having me >>And joining him as Eric nappy is the VP of system systems engineering for Cisco. Good to see Eric. Good to be here. Thank you. Pleasure. So before we jump into kind of what's going on now in this new great world of programmability and in control, I want to kind of go back to the future for a minute because when I was doing some research for this interview, it was Coon. I saw an old presentation that you were giving from 2006 about the changing evolution of the, uh, the changing evolution of networking and moving from. I think that theme was a human centered, a human centered network. And you were just starting to touch a little bit on video and online video. Oh my goodness, how far we have come, but, but I would love to get kind of a historical perspective because we've been talking a lot in, I know Eric son plays football about the football analogy of the network is kind of like an offensive lineman where if they're doing a good job, you don't hear much about them, but they're really important to everything. >>And the only time you hear about them is when a flag gets thrown. So if you look back with the historical perspective, the load and the numbers and the evolution of the network, as we've moved to this modern time and, you know, thank goodness cause of COVID hit five years ago, 10 years ago, 15 years ago, you know, all of us in the information space would not have been able to make this transition. So I just, I just love to get some historical perspective cause you've been kind of charting this and mapping this for a very long time. >>Yeah, we absolutely have. I think, you know, what you're referring to was back in the day, the human network campaign, and to your point, the load, the number of hosts that traffic that just overall the intelligence of the network has just evolved tremendously over these last decade and a half, uh, 15 years or so. And you look at where we are now in terms of the programmable nature of the network and what that enables in terms of new degrees of relevance that we can create for the customers. Um, and how, you know, the role of it has changed entirely again, especially during this pandemic. You know, the fact that it's now as a service and elastic, uh, is, is absolutely fundamental to being able to ensure, uh, on an ongoing basis, a great customer experience. And so, uh, it's been, it's been, uh, a very interesting ride. >>And then, and then just to close the loop, that one of your more later interviews talking to Sylvia, your question is, are you a developer or an engineer? So it was, and, and your whole advice to all these network engineers is just, just don't jump in and start doing some coding and learning. So, you know, the focus and really the emphasis and where the opportunity to differentiate this is a company is completely shifting gears over to the, you know, really software defined side. >>Oh, absolutely. So I mean, you look at how the software world and the network has come together and how we're applying now, you know, basically the same construct of CIC D pipeline to network, uh, infrastructure, look at network really as code and get all of the benefits from that. And the familiarity of it, the way that our engineers have had to evolve. And that is just, you know, quite, quite significant in, in, in like the skill set. And the best thing is jump in, right. You know, dip your toe in the water, but continue to evolve that skill set. And, you know, don't, don't be shy. It's, it's a leap of faith for some of us who've been in the industry a bit longer. Uh, you know, we like to look at ourselves as the craftsman of the network, but now it's definitely a software centricity and programmability, right? >>So Eric, you've got some digital exhaust out there too, that I was able to dig up going back to 2002 752 page book and the very back corner of a dark dirty dusty Amazon warehouse is managing Cisco network security, 752 pages. Wow. How has security changed from a time where before I could just read a book, a big book, you know, throw some protocols in and probably block a bunch of ports to the world that we live in today, where everything is connected. Everything is API driven, everything is software defined. You've got pieces of workload spread out all over the place and Oh, by the way, you need to bake security in at every single level of the application stack. >>Yeah, no I'm so wow. Cocoon is that you, you found that book on the I'm really impressed. There was a thank you a little street, correct. So I want to hit on something that you, you talked about. Cause I think it's very important to, to this overall conversation. If we think about the scale of the network and Coon hit on it briefly, you talked about as well, we're seeing a massive explosion of devices by the I, you know, it's estimated by the end of this year, there's going to be about 27 billion devices on the global internet. That's about 3.7 devices for every man woman and child life. And if we extrapolate that out over the course of the next decade on the growth trajectory we're on. And if you look at some of the published research on this, it's estimated there could be upwards of 500 billion devices accessing the global internet on a, on a daily basis in primarily that, that, that is a IOT devices, that's digitally connected devices. >>Anything that can be connected will be connected, but then introduces a really interesting security challenge because every one of those devices that is accessing the global internet is within a company's infrastructure or accessing pieces of corporate data is a potential factor. So we need to, and I think the right expression for this is we need to reimagine security because security is, as you said, not about parameters. You know, I wrote that book back in 2002, I was talking about firewalls and, and a cutting edge technology was intrusion prevention and intrusion detection. Now we need to look at security really in the, in the guise of, or under the, under the, under the realm of really two aspects, the identity who is accessing the data in the context, what data is being accessed. And that is going to require a level of intelligence, a level of automation and the technologies like machine learning and automated intelligence are going to be our artificial intelligence rather are going to be table stakes because the sheer scale of what we're trying to secure is going to be untenable under current, you know, just current security practices. I mean, the network is going to have to be incredibly intelligent and leverage again, a lot of that, uh, that AI type of data to match patterns of potential attacks and ideally shut them down before they ever cause any type of damage. >>Yeah, it's really interesting. I mean, one thing that COVID has done a bunk many things is kind of retaught us all about the power of exponential curves and how extremely large those things are and how fast they grow. We had Dave runs it on a Google cloud a couple of years ago. And I remember him talking about early days of Google when they were starting to map out kind of, as you described kind of map out their growth curves, and they just figured out they could not hire if they hired everybody, they couldn't hire enough people to deal with it. Right. So really kind of rethinking automation and rethinking about the way that you manage these things and the level, right. The old, is it a pet or is it, or is it, um, uh, part of a herd? And I think it's interesting what you talked about, uh, can really the human powered internet and being driven by a lot of this video, but to what you just said, Eric, the next big wave, right. >>Is IOT and five G. And I think, you know, you talked about 3.7 of, uh, devices per person. That's nothing compared to right. All these sensors and all these devices and all these factories, because five G is really targeted to machine the machines, which there's a lot of them and they trade a lot of information really, really quickly. So, you know, I want to go back to you Kuhn thinking about this next great wave in a five G IOT kind of driven world where it's kind of like when voice kind of fell off compared to IP traffic on the network. I think you're going to see the same thing, kind of human generated data relative to machine generated data is also going to fall off dramatically as a machine generated data, just skyrocket through the roof. >>Yeah, no, absolutely. And I think too, also what Eric touched on the visibility on that, and they've been able to process that data at the edge. That's going to catalyze cloud adoption even further, and it's going to, you know, make the role of the network, the connectivity of it all and the security within that crucially important. And then you look at the role of programmability within that. We're seeing the evolution going so fast. You look at the element of the software defined network in an IOT speed space. We see that we have hosts there that are not necessarily, um, you know, behaving like other hosts would, uh, on a network, for example, manufacturing floor production robot, or a security camera. And what we're seeing is we're seeing, you know, partners and customers employing programmability to make sure that we overcome some of the shortcomings, uh, in terms of where the network is at, but then how do you customize it in terms of the relevance that it can provide, uh, bringing on board, uh, those, uh, those hosts in a very transparent way, and then, you know, keep, keep the agility of it and keep the, the speed of innovation going, >>Right. So Eric, I want to come back to you and shift gears kind of back to the people will leave the IOT and the machines along, along for a minute, but I'm curious about what does beat the boss. I mean, I go to your LinkedIn profile and it's just filled with congratulatory statements, but everyone's talking about beating the boss. You know, it's, it's a really, you know, kind of interesting and different way to, to motivate people, to build this new skillset in terms of getting software certifications, uh, within the Cisco world. And I just thought it was really cute the way that you clearly got people motivated, cause there's posts all over the place and they've all got their, their nice big badge of their certification. But, you know, at a higher level, it is a different motivation to be a developer versus an engineer and a technician. And it's kind of a different point of view. And I just wonder if you could share, you know, some of the ways that you're, you're kind of encouraging, you know, kind of this transformation within your own workforce, as well as the partners, et cetera, and really adopting kind of almost a software first and this program kind of point of view versus, you know, I'm just wiring stuff up. >>Apparently a lot of people like to beat me and of itself was a, was a, it was a great success, but you know, if we think we take a step back, you know, what is Cisco about as an organization? Uh, I mean, obviously if you look back to the very early days of our vision, right, it was, it was to change the way the world worked, played, live and learn. And that you think about, and you hit on this when we were, you know, you were discussion with co with Kuhn in the early days of COVID. We really saw that play out as so much shifted from, you know, in-person type of interactions to virtual interactions in the network that, uh, that our, our customers, our partners, our employees built over the course of the last several years, the last three decades really helped the world continue to, um, to, to do business for students to continue to go to a school or clinicians to connect with patients. >>If I think about that mission to me, programmability is just the next iteration of that mission, continuing to enable the world to communicate, continuing, to enable customers, employees, uh, partners, uh, to essentially leverage the network for more than just now to leverage it for critical insight. Again, if we look at some of the, uh, some of the use cases that we're seeing for social distancing and contact tracing, the network has a really important place to play there because we can pull insight from it, but it isn't necessarily an out of the box type of integration. So I look at programmability and in what we're doing with, with dev net to give relevance to the network for those types of really critical conversations that every organization is having right now, it's a way to extrapolate. It's a way to pull critical data so that I can make a decision. >>And if that decision is automated, or if that decision requires some type of a manual intervention, regardless, we're still about connecting. And in this case, we're connecting insight with the people who need it most, right. The debit challenge we ran is really in respect for how critical this new skill set is going to be. It's not enough. Like I said, just to connect the world anymore. We need to leverage that network, the network for that critical insight. And when we drove, we were, we created the beat, the boss challenge. It was really simple. Hey guys, I think this is important and I am going to go out and I'm going to achieve the certification myself, because I want to continue to be very relevant. I want to continue to be able to provide that insight for my customers and partners. So therefore I'm going for it. Anybody can get there before me, maybe there's a little incentive tied to it and the incentive, although it's funny, we interviewed a lot of, a lot of our team who, uh, who achieved it when incentive was secondary, they just wanted to have the bragging rights, like, yeah, I beat Eric, >>You know, putting your money where your mouth is, right. If it's important, then why you should do it too. And, and you know, the whole, you're not asking people to do what you wouldn't do yourself. So I think there's a lot of good leadership, uh, leadership lessons there as well, but I want to extend kind of the conversation on the covert impact, right? Cause I'm sure you've seen all the social media means, you know, who's driving your digital transformation, the CEO, the CMO or COVID. And we all know the answer to the question, but you know, you guys have already been dealing with kind of an increased complexity around enterprise infrastructure world in terms of cloud and public cloud and hybrid cloud and multi cloud. And people are trying to move stuff all, all the way around now suddenly had this COVID moment right in, in March, which is really a light switch moment. >>People didn't have time to plan or prepare for suddenly everybody working from home. And it's not only you, but your spouse and your kids and everybody else. So, but now we're six months plus into this thing. And I would just love to get your perspective and kind of the change from, Oh my goodness, we have to react to the light switch moment. What did we do to make sure people can, can get, get what they need when they need it from where they are. Uh, but, but then really moving from this is a, an emergency situation, a stop gap situation to, Hmm, this is going to extend for some period of time. And even when it's the acute crisis is over, you know, this is going to drive a real change in the way that people communicate in the way that people, where they sit and do their jobs and kind of how customers are responding accordingly as the, you know, kind of the narrative has changed from an emergency stop gap to this is the new normal that we really need to plan for. >>So, uh, I think, I think you said it very well. I think anything that could be digitized, any, any interaction that could be driven virtually was, and what's interesting is we, as you said, we went from that light switch moment where I believe the stat is this, and I'll probably get the number wrong, but like in the United States here at the beginning, at the end of February, about 2% of the knowledge worker population was virtual, you know, working from home or in a, in a remote work environment. And over the course of about 11 days, that number went from 2% to 70%. Wow. Interesting that it worked, you know, there was a lot of hiccups along the way, and there was a lot of organizations making really quick decisions on how do I enable VPN scale at mass? How do I leverage, uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, much faster now that as you said, that we kinda gotten out of the fog of, of, of, of war or for our fog of battle organizations are looking at what they accomplished. >>And it was nothing short of Herculean and looking at this now from a transition to, Oh my gosh, we need to change too. We have an opportunity to change. And we're looking, we see a lot of organizations specifically around, uh, financial services, healthcare, uh, the, uh, the K through 20, uh, educational environment, all looking at how can they do more virtually for a couple of reasons. Obviously there is a significant safety factor. And again, we're still in that we're still on the height of this pandemic. They want to make sure their employees, their customers, students, patients remain safe. But second, um, we've found in, in discussions with a lot of senior it executives that our customers, that people are happier working from home, people are more productive working from home. And that, again, the network that's been built over the course of the last few decades has been resilient enough to allow that to happen. >>And then third, there is a potential cost savings here outside of people. The next most expensive resource that organizations are paying for is real estate. If they can shrink that real estate footprint while providing a better user experience at the locations that they're maintaining, again, leveraging things like location services, leveraging things like a unified collaboration. That's very personalized to the end user's experience. They're going to do that. And again, they're going to save money. They're going to have happier employees and ultimately they're going to make their, uh, their employees and their customers a lot safer. So we see, we believe that there is in some parts of the economy, a shift that is going to be more permanent and some estimates put it as high as 15 of the current workforce is going to stay in there in a virtual or a semi virtual working environment for the foreseeable future. >>And I, and I, and I would say, I'd say 15% is low, especially if you, if you qualify it with, you know, part-time right. I, there was a great interview we were doing and know talking about working from home. We used to work from home as the exception, right? Cause the cable person was coming, are you getting a new washing machine or something? We're now that's probably getting, you know, in many cases we'll shift to the other where I'm generally going to work from home, unless, you know, somebody is in town or having an important meeting or there's some special collaboration, uh, that drives me to be in. But you know, I want to go back to Yukon and, and really doubled down on, you know, I think most people spent too much time focusing, especially at, we'll just say within the virtual event space where we play on the things you can't do virtually, we can't meet in the hall. >>We can't grab a quick coffee and a drink instead of focusing on the positive things like we're accomplishing right here. You're in Belgium, right. Eric is in Ohio, we're in California. Um, and you know, we didn't take three days to travel and, and check into a hotel and all that stuff to get together, uh, for this period of time. So there's a lot of stuff that digital enables. And I think, you know, people need to focus more on that versus continuing to focus on the two or three things that it doesn't replace and it doesn't replace those. So let's just get that off the table and move on with our lives. Cause those aren't coming back anytime soon. >>No, totally. I think it's the balance of those things. It's guarding the fact that you're not necessarily working for home. I think the trick there is you could be sleeping at the office, but I think the positives are way, way more outspoken. Um, I, you know, I look at myself, I got much more exercise time in these last couple of months than I usually do because you don't travel. You don't have the jet lag and the connection. And then you talked about those face to face moments. I think a lot of people are in a way, um, wanting to go back to the office part-time as, as Eric also explain, but a lot of it you can do virtually we have virtual coffees with team or, you know, even here in Belgium, our, our local general manager has a virtual aperitif every Friday, obviously skip the one this week. But, uh, you know, there's, there's ways to be very creative with the technology and the quality of the technology that the network enables, um, you know, to, to get the best of both worlds. >>Right? So I just, we're going to wrap the segment. I want to give you guys both the last word you both been at Cisco for a while and, you know, Susie, we, and the team on dev net has really grown this thing. I think we were there at the very beginning couple of four or five, six years ago. I can't keep track of time anymore, but you know, it's really, really grown and, you know, the timing is terrific to get into this more software defined world, which is where we are. I wonder if you could just kind of share a couple of thoughts as you know, with a little bit of perspective and you know, what you're excited about today and kind of what you see coming down the road since you guys have been there for a while you've been in this space, uh, let's start with you Yukon. >>Okay. I think the possibility creates, I think really programmability software defined is really about the art of the possible it's what you can dream up and then go code. Um, Eric talked about the relevance of it and how it maximizes the relevance on a customer basis. Um, you know, and then it is the evolution of the teams in terms of the creativity that they can bring to us. We've seen really people dive into that and customers, um, co-creating with us. And I think that's where we're going in terms of the evolution of the value proposition there in terms of what technology can provide, but also how it impacts people. Has it been discussed and, and redefines process. I love that >>The art of the possible, which is a lot harder to execute in a, in hardware than software certainly takes a lot longer. I'd love to get your, uh, your thoughts. >>Absolutely. So I started my career at Cisco, uh, turning, uh, putting IP phones onto the network. And back then, you know, it was, you know, 2001, 2002, when, uh, the idea of putting telephones onto the network was such a, um, just such an objectionable idea. And so many purists were telling us all the reasons it wouldn't work. Now, if we go forward again, 19 years, the idea of not having them plugging into the network is a ridiculous idea. So we have a, we're looking at an inflection point in this industry, and it's really, it's not about programming. It's not necessarily about programming. It's about doing it smarter. It's about being more efficient. It's about driving automation, but again, it's, it's about unlocking the value of what the network is. We've moved so far past. What can, you know, just connectivity, the network touches everything and there's more workload moves to the cloud is more workload moves to things like containers. >>Um, the network is the really, the only common element that ties all of these things together. The network needs to take his rightful place. Now in the end, the it lexicon as being that critical or that critical insight provider, um, for, for how users are interacting with the network, how users are interacting with applications, how applications are interacting with one, another program ability is a way to do that more efficiently, uh, with greater, a greater degree of certainty with much greater relevance into the overall delivery of it services and digitization. So to me, I think we're going to look back 20 years from now, probably even 10 and say, man, we used to configure things manually. What was that like? And I think, I think really this is, this is the future. And I think we want to be aligned with where we're going versus where we've been. >>Right. Well, Coon, Eric, thank you for, for sharing your perspective. You know, it's, it's really nice to have, you know, some historical reference, uh, and it's also nice to be living in a new age where you can, you can, you know, stay at the same company and still refresh, you know, new challenges, new opportunities and grow this thing. Cause as you said, I remember those IP, the first IP phone days. And I thought, well, my bell must be happy because the old mother's day problem is finally solved. And when we don't have to have a dedicated connection between every mother and every child in the middle of may. So good news. So thank you very much for sharing your, uh, your insights and really, really enjoyed the conversation. >>Yeah. >>Right. He's cool. He was Eric I'm Jeff. You're watching the cube for continuing coverage of Cisco dev net connect. Thanks for watching. We'll see you next time.
SUMMARY :
brought to you by Cisco. Jeff Frick here with the cube coming to you from our Palo Alto studios with ongoing coverage I saw an old presentation that you were giving from 2006 And the only time you hear about them is when a flag gets thrown. I think, you know, what you're referring to was back in the day, the human network campaign, this is a company is completely shifting gears over to the, you know, really software defined side. And that is just, you know, quite, quite significant in, the place and Oh, by the way, you need to bake security in at every single level of about the scale of the network and Coon hit on it briefly, you talked about as well, to be untenable under current, you know, just current security practices. And I think it's interesting what you talked about, Is IOT and five G. And I think, you know, you talked about 3.7 of, And what we're seeing is we're seeing, you know, partners and customers employing programmability And I just thought it was really cute the way that you clearly got people motivated, And that you think about, and you hit on this when we were, of that mission, continuing to enable the world to communicate, continuing, And in this case, we're connecting insight with the people And, and you know, it's the acute crisis is over, you know, this is going to drive a real change uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, And that, again, the network that's been built over the course of the last few decades has been And again, they're going to save money. the other where I'm generally going to work from home, unless, you know, somebody is in town or having an important meeting or there's some special And I think, you know, people need to focus more on that But, uh, you know, there's, I can't keep track of time anymore, but you know, really about the art of the possible it's what you can dream up and then go code. The art of the possible, which is a lot harder to execute in a, in hardware than software And back then, you know, it was, you know, 2001, 2002, And I think we want to be aligned with where we're going versus it's really nice to have, you know, some historical reference, uh, and it's also nice to be living We'll see you next time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Sylvia | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
California | LOCATION | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Ohio | LOCATION | 0.99+ |
Belgium | LOCATION | 0.99+ |
2006 | DATE | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
2002 | DATE | 0.99+ |
two | QUANTITY | 0.99+ |
2020 | DATE | 0.99+ |
2% | QUANTITY | 0.99+ |
Jeff | PERSON | 0.99+ |
15% | QUANTITY | 0.99+ |
Susie | PERSON | 0.99+ |
March | DATE | 0.99+ |
six months | QUANTITY | 0.99+ |
United States | LOCATION | 0.99+ |
752 pages | QUANTITY | 0.99+ |
Kuhn | PERSON | 0.99+ |
Eric nappy | PERSON | 0.99+ |
15 | QUANTITY | 0.99+ |
2001 | DATE | 0.99+ |
70% | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
Eric Knipp | PERSON | 0.99+ |
Yukon | LOCATION | 0.99+ |
two aspects | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
10 | QUANTITY | 0.99+ |
Coon | PERSON | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
500 billion devices | QUANTITY | 0.99+ |
end of February | DATE | 0.99+ |
ORGANIZATION | 0.99+ | |
second | QUANTITY | 0.98+ |
19 years | QUANTITY | 0.98+ |
five years ago | DATE | 0.98+ |
both | QUANTITY | 0.98+ |
three days | QUANTITY | 0.98+ |
15 years ago | DATE | 0.98+ |
third | QUANTITY | 0.98+ |
10 years ago | DATE | 0.98+ |
about 11 days | QUANTITY | 0.98+ |
mother's day | EVENT | 0.97+ |
first | QUANTITY | 0.97+ |
this week | DATE | 0.97+ |
this year | DATE | 0.96+ |
about 2% | QUANTITY | 0.96+ |
15 years | QUANTITY | 0.96+ |
about 3.7 devices | QUANTITY | 0.96+ |
next decade | DATE | 0.95+ |
pandemic | EVENT | 0.95+ |
20 years | QUANTITY | 0.95+ |
both worlds | QUANTITY | 0.95+ |
3.7 | QUANTITY | 0.95+ |
end of this year | DATE | 0.94+ |
six years ago | DATE | 0.94+ |
page | QUANTITY | 0.94+ |
about 27 billion devices | QUANTITY | 0.92+ |
three things | QUANTITY | 0.92+ |
20 | QUANTITY | 0.91+ |
WebEx | ORGANIZATION | 0.91+ |
COVID | OTHER | 0.9+ |
COVID | TITLE | 0.89+ |
last three decades | DATE | 0.88+ |
big | EVENT | 0.86+ |
COVID | ORGANIZATION | 0.85+ |
Coon Jacobs | ORGANIZATION | 0.84+ |
one thing | QUANTITY | 0.84+ |
one | QUANTITY | 0.84+ |
Greg Lavender, VMware | VMworld 2020
>>from around the globe. It's the Cube >>with digital coverage of VM World 2020 brought to you by VM Ware and its ecosystem partners. Hello and welcome back to the VM World 2020 Virtual coverage with the Cube Virtual I'm John for day. Volonte your hosts our 11th year covering VM. We'll get a great guest Greg Lavender, SBP and the CTO of VM. Where, uh, welcome to the Cube. Virtual for VM World 2020 Virtual Great. Thanks for coming on. >>Privileged to be here. Thank you. >>Um, really. You know, one of the things Dave and I were commenting with Pat on just in general start 11th year covering VM world. Uh, a little difference not face to face. But it's always been a technical conference. Always a lot of technical innovation. Project Monterey's out there. It's pretty nerdy, but it's a it's called the catnip of the future. Right? People get excited by it, right? So there's really ah lot of awareness to it because it kinda it smells like a systems overhaul. It smells like an operating system. Feels like a, you know, a lot of moving parts that are, quite frankly, what distributed computing geeks and software geeks love to hear about and to end distributed software intelligence with new kinds of hardware innovations from and video and whatnot. Where's that innovation coming from? Can you share your thoughts on this direction? >>Yeah, I think first I should say this isn't like, you know, something that just, you know, we decided to do, you know, six months ago, actually, in the office of C T 04 years ago, we actually had a project. Um, you know, future looking project to get our core hyper visor technology running on arm processors and that incubated in the office of the CTO for three years. And then last December, move the engineering team that had done that research and advanced development work in the office of the CTO over to our cloud platforms business unit, you know, and smart Knicks, you know, kind of converged with that. And so we were already, you know, well along the innovation path there, and it's really now about building the partnerships we have with smart nick vendors and driving this technology out to the benefit of our customers who don't want to leverage it. >>You get >>Greg, I want if you could clarify something for me on that. So Pat talked about Monterey, a complete re architect ing of the i o Stack. And he talked about it affecting in video. Uh, intel, melon, ox and Sandoz part of that when he talks about the Iot stack, you know, specifically what are we talking about there? >>So you know any any computing server in the data center, you know, in a cola facility or even even in the cloud, you know? Ah, large portion of the, you know CPU resource is, and even some memory resource is can get consumed by just processing. You know, the high volumes of Iot that's going out, you know, storage devices, you know, communicating between the different parts of multi tiered applications. And so there's there's a there's an overhead that that gets consumed in the course server CPU, even if its multi core multi socket. And so by offloading that a lot of that I owe work onto the arm core and taking advantage of the of the hardware offloads there in the smart Knicks, you can You can offload that processing and free up even as much as 30% of the CPU of a server, multi socket, multicourse server, and give that back to the application so that the application gets the benefit of that extra compute and memory resource is >>So what about a single sort of low cost flash tear to avoid the complexities of tearing? Is that part of the equation? >>Well, you know, you can you can, um you know, much storage now is network attached. And so you could if it's all flash storage, you know, using something like envy me fabric over over Ethernet, you can essentially build large scale storage networks more efficiently, you know more cheaply and take advantage of that offload processing, uh, to begin to reduce the Iot Leighton. See, that's required taxes. That network attached storage and not just storage. But, you know, other devices, you know, that you can use you could better network attached. So disaggregated architectures is term. >>Uh, is that a yes? Or is that a stay tuned? >>Yeah, Yeah, yeah, yeah, yes. I mean the storage. You know, more efficient use of different classes of storage and storage. Tearing is definitely a prime use case there. >>Yeah, great. Thank you. Thanks for that. John, >>How could people think about the edge now? Because one of the things that's in this end to end is the edge. Pat brought it up multi cloud and edge or two areas that are extending off cloud and hybrid. What should people think about the innovation equation around those things? Is that these offload techniques? What specifically in the systems architecture? Er, do you guys see as the key keys there? >>So so, you know, edges very diversified, heterogeneous place, Uh, in the architectures of multi cloud services. So one thing we do know is, you know, workload. I would like to say workload follows data, and a lot of the data will be analyzed, the process at the edge. So the more that you can accelerate that data processing at the edge and apply some machine learning referencing at the edge were almost certainly gonna have kubernetes everywhere, including the edge. So I think you're seeing a convergence of the hardware architectures er the kubernetes control plane and services and machine learning workloads. You know, traveling to the edge where the where the data is going to be processed and actions could be taken autonomously at the edge. So I think we're in this convergence point in the industry where all that comes together. >>How important do you >>do you see that? Okay, John, >>how important is the intelligence piece? Because again, the potatoes at the edge. How do you guys see the data architecture being built out there? >>Um, well, again, it's depending on the other. The thick edge of the thin edge. You know, you're gonna have different, different types of data, and and again, a lot of the the inference thing that could happen at the edges. Going to, I think, for mawr, you know, again to take action at the edges, opposed to calling home to a cloud, you know, to decide what to do. So, depending on, you know, the computational power and the problem with its video processing or monitoring, you know, sensors, Aaron, oil. Well, the kind of interesting that will happen at the edge will will be dependent on that data type and what kind of decisions you want to make. So I think data will be moving, you know, from the edge to the cloud for historical analytics and maybe transitional training mechanisms. But, you know, the five G is gonna play heavily into this is well right for the network connectivity. So we read This unique point is often occurs in the industry every few years of all these technology innovations converging to open up an entirely new platform in a new way of computing that happens at the edge, not just in your data center at the cloud. >>So, Greg, you did a fairly major stint at a large bank. What would something you mentioned? You know, like an oil rig. But what would something like these changes mean for a new industry like banking or financial? Uh, will it have an impact there and put on your customer hat for a minute and take us through that >>e? You know, eight machines, you know, branches, chaos. You know, there's all make banks always been a very distributed computing platform. And so, you know, people want to deliver mawr user experience, services, more video services. You know all these things at the edge to interact positively with the customer without using the people in the loop. And so the banking industry has already gone through the SD when, and I want transformation to deliver the bandwidth more capably to the edge. And I just think that they'll just now be able to deliver Mawr Edge services that happened can happen more autonomously at the edge is opposed that having the hairpin home run everything back to the data center. >>Awesome. Well, Pat talks about the modern platform, the modern companies. Greg, I wanna ask you because we're seeing with Kovar, there's to use cases, you know, the people who don't have a tailwind, Um, companies that are, you know, not doing well because there's no business that you have there modernizing their business while they have some downtime. Other ones have a tailwind. They have a modern app that that takes advantage, this covert situation. So that brings up this idea of what is a modern app look like? Because now, if you're talking about a distributed architecture, some of things you're mentioning around inference, data edge. People are starting to think about these modern naps, and they are changing the game for the business. Now you have vertical industries. You mentioned oil and gas, you got financial services. It used to be you had industry solution. It worked like that and was siloed. Now you have a little bit of a different architectures. If we believe that we're looking up, not down. Does it matter by industry? How should people think about a modern application, how they move faster? Can you share your insights into into some of this conceptual? What is a modern approach and does it doesn't matter by vertical or industry. >>Yes, I mean, certainly over the course of my career, I mean, there's there's a massive diversity of applications. And of course, you know, the explosion of mobile and edge computing is just another sort of sort of use cases that will put demands on the infrastructure in the architecture and the networking. So a modern, a modern app I mean, we historically built sort of these monolithic app. So we sort of built these sort of three tier apse with, you know, sort of the client side, the middleware side. The database back in is the system of record. I mean, this is even being more disaggregated in terms of, you know, the the consumer edges both not just web here, but mobile tear. And, you know, we'll see what emerges out of that. The one thing for sure that is that, um they're becoming less monolithic and mawr a conglomeration of sass and other services that are being brought together, whether it's from the cloud services or whether it's s, you know, SBS delivering, you know, bring your own software. Um, and they're becoming more distributed because people need operated higher degrees of scale. There's a limit to Virgil vertical scaling, so you have to go to horizontal scaling, which is what the cloud is really good at. So I think all these things were driving a whole new set of technologies like next generation AP gateways. Message Busses, service mesh. We're announcing Tanzi's service message being world. Um, you know, this is just allowing allowing that application to be disaggregated and then integrated with other APS assassin services that allow you to get faster time to market. So speed of delivery is everything. So modern C I. C d. Modern software, technology and ability to deploy and run that workload anywhere at the edge of the core in the data center in the cloud. >>So when you do in your re architecture like this, Greg, I mean you've seen over the course of history in our industry you've seen so many companies have hit a wall and in VM, whereas it's just amazing engineering culture. How are you able toe, you know, change the engine mid flight here and avoid like, serious technical debt. And I mean, it took, you know, you said started four years ago, but can you give us a peek inside? You know, that sort of transformation and how you're pulling that off? >>Well, I mean, we're providing were delivered the platform and, you know, spring Buddhas a key, you know, technology that's used widely across the industry already, which is what we've got is part of our pivotal acquisition. And so what we're just trying to do is just keep keep delivering the technology and the platform that allows people to go faster with quality security and safety and resiliency. That's what we do really well at VM ware. So I think you're seeing more people building these APS Cloud native is opposed to, you know, taking an existing legacy app In trying to re factor it, they might do what it called e think somebody's called two speed architectures. Take the user front, end the consumer front in, and put that cloud native in the cloud. But the back end system of record still runs in the private cloud in a highly resilient you know, backed up disaster recovered way. So you're having, I think, brand new cloud native APS we're seeing. And then you're seeing people very carefully because there's a cost to it of looking at How do I basically modernized the front end but maintain the reliability of the scalability of security and the reliability of that sort of system of record back in? So either way, it's it's winning for the companies because they could do faster delivery to their businesses and their clients and their partners. But you have to have the resiliency and reliability that were known for for running those mission critical workloads, >>right? So the scenario is that back end stays on premise on the last earnings call, I think, Pat said, or somebody said that, that I think I just they said on Prem or maybe the man hybrid 30 to 40% cheaper, then doing it in the cloud. I presume they were talking about those kind of back end systems that you know you don't wanna migrate. Can you add some color that again from your customer perspective That the economics? >>Yeah. You know, um, somebody asked me one time what's really a cloud. Greg and I said, automation, automation, automation you can take you can take You can take your current environments and highly automate the release. Lifecycle management develop more agile software delivery methods. And so therefore, you could you could get sort of cloud benefits, you know, from your existing applications by just highly optimizing them and, you know, on the cost of goods and services. And then again, the hybrid cloud model just gives customers more choice, which is okay. I want to reduce the number of data centers I have, but I need to maintain reliability, scalability, etcetera. Take advantage of, you know, the hybrid cloud that we offer. But you'll still run things. Cloud natives. I think you're seeing this true multi cloud technology and paradigm, you know, grow out as people have these choices. And then the question is okay. If you have those choices, how do you maintain security? How do you maintain reliability? How do you maintain up time yet be able to move quickly. And so I think there's different speeds in which those platforms will evolve. And our goal is to give you the ability to basically make those choices and and optimize for economics as well as technical. You know, capability. >>Great. I want to ask you a question with Cove it we're seeing and we've been reporting the Cube virtual evolve because we used to be it at events, but we're not there anymore. But the as everyone has realized with cove it it's exposed some projects that you might not want to double down on or highlighted some gaps in architecture. Er, I mean, certainly who would have forecast of the disruption of 100% work from home VP and provisioning to access and access management security, and it really is exposed. What kind of who's where in the journey, Right in digital transformation. So I gotta ask you, what's the most important story or thing to pay attention, Thio as the smart money and smart customers go, Hey, you know what? I'm gonna double down on that. I'm gonna kill that project or sunset. That or I'm not gonna re factor that I'm gonna contain Arise it and there's probably there's a lot of that going on. In our conversations with customers, they're like it's pretty obvious. It's critical path. It's like we stay in business. We build a modern app, but I'm doubling down. I'm transitioning. It's a whole nother ballgame. What >>is >>the most important thing that you see that people should pay attention to around maintaining an innovation and coming out on the other side? >>Yeah, well, I think I think it just generally goes to the whole thesis of software defined. I mean, you know the idea of taking an appliance physical, You know, you have to order the hardware, get it on your loading dock, install in your data center. You know, go configure it, mapping into the rest of your environment. You know, whereas or you could just spend up new, softer instances of load balancers, firewalls, etcetera. So I think you know what's What's really helped in the covert era is the maturity of software to find everything. Compute storage, networking. Lan really allowed customers and many of our customers toe, you know, rapidly make that pivot. And so you know what? It's the you know, the workspace, the remote workspace. You gotta secure it. That's a key part of it, and you've got to give it. You know, you gotta have the scalability back in your data centers or, if you don't have it, be able to run those virtual desktops you know, in the cloud. And I think so. This ability again to take your current environment and, more importantly, your operating model, which, you know the technology could be agile and fast. But if you're operating models not agile, you know you can't executed Well, One of the best comments I heard from a customer CEO was, you know, for six months we debated, you know, the virtual networking architecture and how to deploy the virtual network. And, you know, when covet hit. We made the decision that did it all in one week. So the question the CEO asked now is like Well, why do we Why do we have to operate in that six month model going forward? Let's operate in the one week model going forward. E. I think that that z yeah, that's e think that's the big That's a big inflection point is the operating model has to be agile. We got all kinds of agile technology and choices I mentioned it's like, How do you make your organization agile to take advantage of those technological offerings? That's really what I've been doing the last six months, helping our customers achieve. >>I think that's a key point worth calling out and doubling down on day because, you know, whether you talk about our q Q virtual, our operating model has changed and we're doing new things. But it's not bad. It's actually beneficial. We could talk to more people. This idea of virtual ization. I mean pun intended virtual izing workforces face to face interactions air now remote. This is a software defined operating business. This is the rial innovation. I think this is the exposure. As companies wake up and going. Why didn't we do that before? Reminds me of the old mainframe days. Days? You know, why do we have that mainframe? Because they're still clutching and grabbing onto it. They got a transition. So this is the new the new reality. >>We were joking earlier that you know it ain't broke, don't fix it. And all of a sudden Covic broke everything. And so you know, virtualization becomes a fundamental component of of of how you respond. But and I wonder if Greg you could talk about the security. Peace? How how that fits in. You know everybody you know, the bromide, of course, is security can't be a bolt on. It's gotta be designed in from the start, Pat Gelsinger said years ago in the Cube. Security is a do over. You guys have purchased many different security components you've built in. Security comes. So how should we think about? And how are you thinking about designing insecurity across that entire stack without really bolting in, You know, pieces, whether it's carbon, carbon, black or other acquisitions that you've made? >>Yeah, I mean, I think that's that's the key. Inflection point we're in is an industry. I mean, getting back to my banking experience, I was responsible for cybersecurity, engineering the platforms that we engineered and deployed across the bank globally. And the challenge, the challenge. You know, that's I had, you know, 150 plus security products, and you go to bed at night wondering what? Which one did I forget to deploy or what did I get that gap? Do you think you think you're safe by the sheer number, but when you really boil down to it is like, you know, because you have to sort of like both all this stuff together to create a secure environment, you know, on a global level. And so really, our philosophy of VM where is Okay? Well, let's kind of break that model. That's what we call it intrinsic security, which is just, you know, we have the hyper visor. If you're running, the hyper visor is running on most of the service in your data center. If we have your if you have our network virtualization, we see all the traffic going between all those hyper visors and out to the cloud as well hybrid cloud or public cloud with our NSX technology. And then, you know, then you sort of bring into that the load balancers and the software to find firewalls. And pretty soon you have realized Okay, look, we have we have most of the estate. Therefore we could see everything and bring some intelligent machine learning to that and get proactive as opposed to reactive. Because our whole model now is we. All this technology and some alert pops and we get reactive. How about proactively telling me that something nasty is going on. >>I need to ask you a >>question. May be remediated. Sorry, John. It may be remediated at some point anyway. Bring in some machine intelligence tow. So instead of like you said, getting an alert actually tells me what what happened and how it was fixed, you know? Or at least recommending what I should dio, right? >>Yeah. I mean, part of the problem in the historic architectures is it was all these little silos. You know, every business unit had its own sort of technology. And Aziz, you make things virtualized. You you sort of do the virtual networking. The virtual stories of virtual compute all the software. You know, all of a sudden you have you have a different platform, you have lots of standardization. Therefore you don't have your operating model simplifies right and amount of and then it's about just collecting all the data and then making sense of the data. So you're not overwhelming the human's capacity to respond to it. And so I think that's really the fundamental thing we're all trying to get to. But the surface area is enlarged outside the data centers we've discussed out to the edge, whatever the edges, you know, into the cloud hybrid or public. So now you've got this big surface area where you've gotta have all that telemetry and all that visibility again, Back to getting proactive. So you got to do it in Band is opposed out of band. >>Great. I want to ask you a question on cyber security. We have an event on October 4th, the virtual event that Cuba is hosting with Cal Poly around this space and cybersecurity, symposiums, intersection of space and cyber. I noticed VM Ware recently announced last month that the United States Space Force has committed to the Tan Xue platform for for Continuous Dev ops operation for agility. I interviewed Lieutenant General John Thompson, Space Force, and we talked about that. He said quote, it's hard to do break fix in space. Uh, illustrating, really? Just can't send someone to swap out something in space. Not yet, at least. So they're looking at software defined as a key operating reality. Okay, so again, talk about the edge of space Isas edges. You're gonna get it. Need to be completely mad and talk about payloads and data. This >>is kind >>of interesting data point because you have security issues because space is gonna be contested and congested as an edge device. So it's actually the government's interested in that. But fundamentally, the death hops problem that you're you guys are involved in This >>is a >>reality. It's kind of connects this reality idea of operating models based in reality have to be software. What's >>your name? Yeah. I mean, I think the term we use now is def sec ops because you can't just do Dev ops. You have to have the security component in there, So, uh, yeah, the interesting. You know, like, there's a lot of interesting things happen just in fundamental networking, right? I mean, you know, the StarLink, you know, satellites at Testa. His launched Elon musk has launched and, you know, bringing sort of, you know, higher band with laurel agency to those. Yeah, we'll call it near space the and then again, just opens up all new opportunities for what we can dio. And so, Yeah, I think that's the software that the whole the whole saw for development ecosystem again, back to this idea. I think of three things. You gotta have speed. You gotta have scale and you gotta have security. And so that's really the emerging platform, whether it's a terrestrial or in near space, Uh, that's giving us the opportunity, Thio Do new architectures create service measures of services, some terrestrial, some some you know, far remote. And as you bring these new application architectures and system platform architectures together with all the underlying hardware and networking innovations that are occurring, you mentioned flash. But even getting into pmm persistent memory, right? So this this is so much happening that is converging. What's exciting to me about being a TV? Where is the CTO and we partner with all the hardware vendors? We partner with all the system providers, like in video and others. You know, the smart nick vendors. And then we get to come up with software architectures that sort of bring that together holistically and give people a platform. We can run your workloads to get work done wherever you need to land those workloads. And that's really the excitement about >>the candy store. And yet you've got problems hard problems to work on to solve. I mean, this really brings the whole project moderate, full circle because we think about space and networks and all these things you're talking about, You need to have smart everything. I mean, isn't that software? It's a complete tie into the Monterey. >>Yeah, yeah, yeah, Exactly. You're right. It's not just it's not just connecting everything and pushing data around its than having the intelligence to do it efficiently, economically, insecurely. And that's you know. So I see that you don't want to over hype machine learning. I did not to use the term AI, but use the machine learning technologies, you know, properly trained with the proper data sets, you know, and then the proper algorithms. You know that you can then a employee, you know, at the edge small edge, thick edge, you know, in the data center at the cloud is really Then you give the visibility so that we get to that proactive world I was talking about. >>Yeah, great stuff, Greg. Great insight, great conversation. Looking forward to talking mawr Tech with you. Obviously you are in the right spot was in the center of all the action across the board final point. If you could just close it out for us. What is the most important story at VM World 2020 this year. >>Um, well, I think you know, I like to say that I have the best job. I think you know that I've had in my career. I've had some great ones is you know, we get to be disruptive innovators, and we have a culture of perpetual innovation and really being world for us, Aly employees and all the people that work together to put it together is we get to showcase. You know, some of that obviously have more up our sleeves for the future. But, you know, being world is are, you know, coming coming out out show of the latest set of innovations and technologies. So there's going to be so much I have, ah, vision and innovation. Keynote kickoff, right. Do some lightning demos. And actually, I talk about work we're doing in sustainability, and we're putting a micro grid on our campus in Palo Alto and partnership with City of Palo Alto so that when the wildfires come through or there is power outages, you know we're in oasis of power generating capacity with our solar in our batteries. And so the city of Palo Alto could take their emergency command vehicles and plug into our batteries when the power is out in Palo Alto and operate city services and city emergency services. So we're not just innovating, you know, in cortex we're innovating to become a more, you know, sustainable company and provide sustainable, you know, carbon neutral technology for our customers to adopt. And I think that's an area we wanna talk about me. We talk about it next time, but I think you know our innovations. We're gonna basically help change the world with regard to climate as well. >>Let's definitely do that. Let's follow up for another in depth conversation on the societal impact. Of course, VM Ware VM Ware's VM World's 2020 is virtual is a ton of sessions. There's a Cloud City portion. Check out the 60 solution demos. Of course, they ask the expert, Greg, you're in there with Joe Beta Raghu, all the experts, um, engage and check it out. Thank you so much for the insight here on the Cube. Virtual. Thanks for coming on. >>Appreciate the opportunity. Great conversation and good questions. >>Great stuff. Thank you very much. Innovation that vm where it's the heart of their missions always has been, but they're doing well on the business side, Dave. Okay. The cube coverage. They're not there in person. Virtual. I'm John for day. Volonte. Thanks for watching.
SUMMARY :
It's the Cube with digital coverage of VM World 2020 brought to you by VM Ware and Privileged to be here. Feels like a, you know, a lot of moving parts that are, Yeah, I think first I should say this isn't like, you know, something that just, you know, he talks about the Iot stack, you know, specifically what are we talking about there? So you know any any computing server in the data center, you know, But, you know, other devices, you know, that you can use you could better network attached. I mean the storage. Thanks for that. Er, do you guys see as the key keys there? So the more that you can accelerate that data How do you guys see the data architecture being built out there? you know, from the edge to the cloud for historical analytics and maybe transitional training mechanisms. What would something you mentioned? You know, eight machines, you know, branches, Um, companies that are, you know, not doing well because there's no business that you have there modernizing their business So we sort of built these sort of three tier apse with, you know, sort of the client side, the middleware side. And I mean, it took, you know, you said started four years ago, Well, I mean, we're providing were delivered the platform and, you know, spring Buddhas a key, you know, that you know you don't wanna migrate. And our goal is to give you the ability to basically make those choices and and Thio as the smart money and smart customers go, Hey, you know what? It's the you know, the workspace, the remote workspace. I think that's a key point worth calling out and doubling down on day because, you know, And so you know, virtualization becomes a fundamental component of of of how you respond. You know, that's I had, you know, 150 plus security products, and you go to bed at night wondering what? So instead of like you said, the data centers we've discussed out to the edge, whatever the edges, you know, into the cloud hybrid or public. I want to ask you a question on cyber security. of interesting data point because you have security issues because space is gonna be contested and to be software. I mean, you know, the StarLink, you know, satellites at Testa. the candy store. You know that you can then a employee, you know, at the edge small edge, thick edge, Obviously you are in the right spot was in the center of all the action across But, you know, being world is are, you know, coming coming out out show of the latest set Thank you so much for the insight here on the Cube. Appreciate the opportunity. Thank you very much.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Greg Lavender | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Greg | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
Pat | PERSON | 0.99+ |
Joe Beta Raghu | PERSON | 0.99+ |
Pat Gelsinger | PERSON | 0.99+ |
30% | QUANTITY | 0.99+ |
100% | QUANTITY | 0.99+ |
CTO | ORGANIZATION | 0.99+ |
30 | QUANTITY | 0.99+ |
United States Space Force | ORGANIZATION | 0.99+ |
October 4th | DATE | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
three years | QUANTITY | 0.99+ |
one week | QUANTITY | 0.99+ |
last month | DATE | 0.99+ |
Space Force | ORGANIZATION | 0.99+ |
Testa | ORGANIZATION | 0.99+ |
six month | QUANTITY | 0.99+ |
last December | DATE | 0.99+ |
60 solution demos | QUANTITY | 0.99+ |
VM Ware | ORGANIZATION | 0.99+ |
Cal Poly | ORGANIZATION | 0.99+ |
six months | QUANTITY | 0.99+ |
six months ago | DATE | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
StarLink | ORGANIZATION | 0.99+ |
intel | ORGANIZATION | 0.99+ |
both | QUANTITY | 0.98+ |
Aziz | PERSON | 0.98+ |
VM World 2020 | EVENT | 0.98+ |
VM World 2020 | EVENT | 0.98+ |
40% | QUANTITY | 0.98+ |
eight machines | QUANTITY | 0.98+ |
two areas | QUANTITY | 0.98+ |
Iot | TITLE | 0.97+ |
four years ago | DATE | 0.97+ |
one | QUANTITY | 0.97+ |
Tanzi | PERSON | 0.97+ |
Volonte | PERSON | 0.96+ |
John Thompson | PERSON | 0.96+ |
this year | DATE | 0.96+ |
Cove | ORGANIZATION | 0.95+ |
04 years ago | DATE | 0.95+ |
Iot Leighton | ORGANIZATION | 0.94+ |
Aaron | PERSON | 0.94+ |
SBP | PERSON | 0.93+ |
first | QUANTITY | 0.93+ |
cove | ORGANIZATION | 0.92+ |
Kovar | ORGANIZATION | 0.92+ |
single | QUANTITY | 0.92+ |
150 plus security products | QUANTITY | 0.92+ |
One | QUANTITY | 0.91+ |
Sandoz | ORGANIZATION | 0.9+ |
last six months | DATE | 0.9+ |
Prem | ORGANIZATION | 0.89+ |
C T | ORGANIZATION | 0.89+ |
Lieutenant General | PERSON | 0.88+ |
two speed | QUANTITY | 0.86+ |
one thing | QUANTITY | 0.84+ |
Monterey | LOCATION | 0.84+ |
ox | ORGANIZATION | 0.82+ |
Cube | COMMERCIAL_ITEM | 0.81+ |
three things | QUANTITY | 0.8+ |
Cuba | LOCATION | 0.8+ |
a minute | QUANTITY | 0.79+ |
years ago | DATE | 0.79+ |
Cube Virtual | COMMERCIAL_ITEM | 0.79+ |
VMworld 2020 | EVENT | 0.78+ |
VM world | EVENT | 0.77+ |
melon | ORGANIZATION | 0.75+ |
Kanaiya Vasani, Infoblox | Next Level Network Experience
>>from around the globe. It's the Cube with digital coverage of next level network experience event brought to you by info blocks. >>Welcome back to our coverage. The Cube. I'm John Furrier, your host. We're here with a virtual event with info blocks on next level networking. It's a virtual event hosted with the Cube of great guests Kenya Asuni, who is the EVP of products and corporate development with info blocks today. Thank you for coming on. Appreciate it. You guys are the theme of this is next level networking, which I love. Next level, it really kind of illustrates we are going to the next level with Cove in 19. We're seeing it everywhere security DNS topic that most people aren't familiar with. An i t. You know all about it. You guys are leading and reinventing d I for the folks that I want to know what that is. It's DNS de HCP and I p address management for the hybrid cloud and borderless enterprise, which is basically everything. Now, um, this is super super important. As we see every single company living this right now, which is workforce is working from home workplaces that are transforming the surface area is huge. You still got to connect to the Internet. You still need to go to a website and you still do. E commerce needs to run your business. This is a huge, huge problem that's been highlighted. Secure access there you guys are in the forefront for next gen or networking. Tell us what you define as next level. >>So, John, I think one of the things you'll see is if you, if you look at the train, is happening in our business, that is, there's an increasing adoption of SAS services, whether it's infrastructures of service being consumed from AWS, azure, Google or all the idea applications moving into SAS, you're already seeing a shift away from this data center. Being the center of the university in the Enterprise, I t infrastructure to more of a cloud edge world where a lot of the applications now sit in the cloud some in your private cloud still but a lot in the public cloud. And then you have your enterprise edge from where you want to get to these applications directly instead of back calling all the traffic into your traditional data center. We're also seeing a big push into the number of devices coming into the infrastructure, whether it be by Odie Iot G five GS or more devices coming into the infrastructure. As you said, that perimeter and the surface area of the enterprise has exploded. So you have to You have to start to think about security from a different standpoint. So all of these trends are starting to play out in the market. I think what you're going to see is over the next couple of years that the the network inside the Enterprise is gonna look very different from ordered yesterday. Today, everything gets back to the data center, and that's where all the action's. I think what you're going to see is a big shift towards what we call a hybrid multi cloud enterprise, where you may have some workloads sitting in your data center. Some workloads sitting in public clouds, some in your private cloud, and then you want the ability to move these workloads around and you're utilizing everything all your applications. You're actually continue rising all your applications, and you want all this stuff to move around so it poses a very interesting challenge. And that's why we say you need a next level network experience to deal with all the changes that you, their enterprises, are going to it. >>That's a great point. This is our top story that we've been reporting for a long time but rose recently with code 19. This notion of multiple networks, multiple environments, multiple clouds. Certainly hybrid cloud has been ratified. Everyone pretty much acknowledges that cloud operations on premises to the cloud of their. But you got to still move packets from A to B moving around, and now you're storing them and all kinds of things are happening. But I want to get your thoughts on a trend that even makes what you just said even more complex because the complexity is crazy. Right now, there's a trend of managed services. Cloud explosion comes on. You mentioned SAS more coming or deploying a managed services, sometimes multi tenant, sometimes pure instances in the cloud or on premises and data center that's causing access. I still want to integrate that into a Web presence. So, you know, I gotta integrate all these things. It's not that easy. Now. Again, DNS has been a big part of the Web presence But now you have a new dimension of hosted applications. You have managed services that that are easy to stand up. But now I gotta integrate them. This is one of the hardest challenge is that we're here, and I want to get your thoughts in reaction to that. Yeah, >>and I think Google has certainly accelerated the shift that we talked about. So I think a good point there in terms of your school reacting is there is a big accelerant in terms of the shift of the cloud. I think one of the the key role that we play as the enterprise gets much more dynamic is you need three elements you need the element to be to get visibility into everything that's going on in your cluster, you need to provide a layer of security of foundational security in your infrastructure and you need automation because then you have workloads moving around. You need to automate all your idea. Simple flows around allocating. I p address system is VMS or containers on moving as containers. Moving our retaining I P addresses assigning your i P addresses managing DNS records for them. So the work we do that dd I there really becomes the life blood of how this hybrid multi cloud enterprise comes along. And as you get to a much more distributed I T infrastructure, you are not going to be able to manage this entire infrastructure yourself the traditional. So if you have an enterprise idea administrator, you cannot sit there and say, Look, I'm gonna do the traditional model of deploying software on premise or appliances on premise, and I love my guys going out there and managing the administration of that software every six months after do a software upgrade and I'll do all that. What you need, because the enterprise has become so distributed in dynamic, is you need a cloud managed or a managed services. In either case, basically, what you see what you're looking at is a centralized management more and the ability to spin up and down the services Dynamically. We are strong believers in sass or a cloud managed approach and a cloud native architecture being the right architecture for the next level network. And that is something from a delivery standpoint and MSP can use. A managed service provider can leverage this flower manage architecture that we have to offer the services to enterprise customers and take away the whole headache off, managing and administering their own infrastructure. >>I like how you said dd I layer because there's an abstraction you can create the take away that complexity that was pretty straight forward. The best yet. DNS dhc p I p I p addresses. Okay, you manage those cases? No problem Naming whatnot. Now. You have a dynamic environment. That's key. I want to get back to and follow up what you said about the I t folks, your customers in the Enterprise. They're sitting there saying, Hey, I'm used to the on premises world and I have cloud What's the difference in your mind between on premises and cloud managed d D I and why does it matter? >>Look, I think in the traditional world, all the i t infrastructure it again was sitting in one or more regional or or regional or centralized data centers and that it was easy to manage. You could appliances from info blocks and now and it was easy. You had the folks sitting in these data centers and they could manage the entire infrastructure using someone premise management tools and things of that nature. But now I think about it. If you're if you're Walmart and you have 4500 stores right now, if you want to push DNS d A T v i p address management software into all these 5500 locations, it is very difficult to do that by deploying individual appliances or by deploying sort of shrink wrap software that has to sit in every every one of these locations. It's just from an idea administration standpoint. It's a it's a much heavier lift. But if I could take all the management and all the policy management that the policy framework and pull that up into a SAS lower that you can access from anywhere on the planet and I'll leave the protocol serving engines, if you will, on premise. So you have a container that gets spun up that can sit on any third party hardware that's sitting at your infrastructure. But it is all managed through the cloud it zero touch provisioning Andi, completely orchestrator. Now you're sitting at us at a central dashboard, and if you're in a corporate environment, you're sitting at home and just accessing our SAS service and managing your entire infrastructure from from from your from your home from your our checked at your home. Right? So it just becomes so much easier for idea administrators to operate. And I >>have so much free time on their hands to be the Watches virtual event. So be fun. There certainly >>do Stash stash. That's a great >>point. I want to get your thoughts because I like how you know I love the term next level. Anything going, the next level has been something that you talk about, whether you're a technical person and an entrepreneur or a business person. Let's go the next level. It means go the next level. But you add the word experience in there, and I want to get your thoughts on that because it is about the user experience. What >>do you >>guys do to provide that what info blocks provide specifically to provide that next level experience? >>Yeah, that's a great question. We are formed believers again that the future of networking and security in I T. Is going to shift to a cloud managed cloud native paradigm, which means you should be able to just like the hyper skaters. AWS is the Googles and Amazons of the world, right? If you look at how they build out their cloud infrastructure, it's all about separating the infrastructure layers of the compute layer from the applications that sit on top of them. So the compute nodes can scale at a difference at a different pace from that from the applications. That same mindset needs to come into into managing networking and security services as well. So if you have 1000 different educations, lets you can decide through a centralized policy framework what services you want to spin up a lease 1000 locations. Today you would have to buy a box, a small medium large box from info blocks or any one of the networking guys out there, and you would have to deploy that. And most likely, you will end up over provisioning each site because you don't want to run out of capacity. The next level experience would say, Just tell me what side you're deploying. The sites will call home. They will download the number of services needed based on some centralized policy that was defined, and you would get a right size deployment off services at that particular site. You need more services because, say, the user profile, that the profile of the users at that site change, which means you need to spend a Let's, say, a couple of additional security services. Well, that gets automatically imported from the cloud and gets incense created in that particular site. If you need more capacity because it's end of the quarter and you're doing a whole bunch of peer some financial contractions for closing the books, you need more capacity for some of the security applications. Those additional containers with those security applications can can get spun up, so you're starting to scale out as you need and scale back when you don't need the capacity. But this whole thing becomes a very dynamic experience in terms of how services get spun up. They get on down, and it's all driven by. There's this whole notion off the users that are sitting in a location, the context of the users of what devices they're trying to access these applications from what, what is the time of the day? How is the security profile of that device you bring all that know how into the house services get provisioned and how services get operationalized at any particular site in any particular enterprise. Rights are very simple experience when it comes to networking and security, and how do you deploy it at scale? >>And the thing that that sets up is what you're saying really about automation, because once you're in this mode in this experience, the environment lends itself well to automation because it is downloading the right services you need. But since it's dynamic and it needs to be ready, how does automation fit into that piece? >>Absolutely, if you disaster management is already automated for you now if you want to drive further automation and orchestration through integration with your Dev ops, SEC ops, Net ops tools, we have public FBI's through which this this can be driven. There's two ways to manage this right. We have a Cloud Services portals. If somebody wanted to go in and leverage our porter to manage their infrastructure, they can't do that. If they wanted this to be completely programmatic and driven through their their dev ops SEC ops tools, then through the public AP guys, we will tightly integrated into all the tools they have, whether it's sensible data forms some of the Dev ops tools or on the security side. If you want to integrate us into your store platform security orchestration, platforms, you can do that. And your entire workflow for networking as well as security can be completely, completely automated. >>That's awesome. I want to get as we get limited time left and you got to go. We have to hard stop with segment here. Customer example. I'll see customers have a need for this. You're in business to do this. Can you give an example of a customer? That kind of illustrates the next level networking >>we have. We have 6000 plus active customers. We have over 50% share when it comes to this DNS DCP eye Pam market. So you will see has deployed and have you deployed in 95. Out of the Fortune 100 enterprises in four blocks is some someone you will see in any customer that you that you go through. We have some public references such as Adobe, a great customer of ours on our website. They, their entire global network, runs on the foundational layer of D. I. We have some very large customers that are not as comfortable being public references, but we have again. If you have 95 of the Fortune 100 enterprises want you, you can imagine how sticky VR how broadly deployed we are. Typically, what happens is we would go in and we would go in as the FBI there for them to control and manage that I p address space and their DNS infrastructure. Then they take on more off. They take on a security lens at this and say, Look through the http and eye Pam, I know everything that is sitting in my infested toe, DNS. I have full visibility into all the communication happening from that employer. So that's a great data source for me to leverage as a first layer of defense from a security stand. So then they start to bring in security into the into the mix in terms of how they leverage our products and then through our SAS platforms and SAS offerings. They take that and extended as they're driving this edge transformation. So they push these services now to the edge of the infrastructure so and that the new infant, the new offerings are blocks one platform is our SAS platform and blocks one based applications on our new offerings that integrates very nicely with some of our traditional offerings. So you get a very comprehensive single pane of glass in terms of how you can manage your entire enterprise footprint, whether it's it's on prim at the edge, in the public cloud at the cloud edge, right? >>You know, having a good business model that puts abstractions and reduces complexity is is a great one. We've seen the innovation with DNS and anything that needs an Internet address. You got to connect, and I o. T only creates more need for connection. This is the key enterprises know DNS. They know it differently that it's the plumbing we all know. But every time there's an innovation inflection point, a new abstraction layer emerges for simplicity, ease of use. >>DNS is the phone book of the end of off the Internet. Right, So you want to call anywhere you have to first, your DNS. Look up and you brought up I o t. That's a great example. You're not going to be able to put in these eye ot sensors. You're not going to be able to put endpoint security software, but they're going to call home so you can leverage DNS and do some behavioral analysis of the DNS. Traffic coming out of those Iot. The sensors are I ot endpoints and say, Hey, look, is there something militias going on? Why is my thermostat talking to a server in China? You can detect that to a DNS based security earlier that this foundational >>and to your point, whether it's a light bulb or anything untested device, they're being turned on and turned off all the time at massive scale. There's no other way to handle it, but having abstraction and automation. Absolutely. Thank you. Thank you very much for your time. Great segment. We're here at the info blocks. Virtual event. This is the cube coverage. I'm John Furrier. Thanks for watching. Thank you, John. Yeah, Yeah, yeah, yeah.
SUMMARY :
level network experience event brought to you by info blocks. You still need to go to a website and you still do. So you have to You have to start to think about security from a different standpoint. This is one of the hardest challenge is that we're here, and I want to get your thoughts in reaction to that. because the enterprise has become so distributed in dynamic, is you need a cloud managed I want to get back to and follow up what you said about the I'll leave the protocol serving engines, if you will, on premise. have so much free time on their hands to be the Watches virtual event. That's a great Anything going, the next level has been something that you talk about, whether you're a technical person and an entrepreneur or a that the profile of the users at that site change, which means you need to spend a Let's, to automation because it is downloading the right services you need. If you want to integrate us into your store platform security orchestration, platforms, I want to get as we get limited time left and you got to go. single pane of glass in terms of how you can manage your entire enterprise footprint, They know it differently that it's the plumbing we all know. anywhere you have to first, your DNS. Thank you very much for your time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
China | LOCATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Kanaiya Vasani | PERSON | 0.99+ |
Walmart | ORGANIZATION | 0.99+ |
FBI | ORGANIZATION | 0.99+ |
95 | QUANTITY | 0.99+ |
Googles | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
Today | DATE | 0.99+ |
Adobe | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Amazons | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
5500 locations | QUANTITY | 0.99+ |
Kenya Asuni | PERSON | 0.99+ |
4500 stores | QUANTITY | 0.99+ |
1000 locations | QUANTITY | 0.99+ |
two ways | QUANTITY | 0.99+ |
each site | QUANTITY | 0.99+ |
Infoblox | ORGANIZATION | 0.98+ |
1000 different educations | QUANTITY | 0.98+ |
Stash | PERSON | 0.97+ |
one platform | QUANTITY | 0.97+ |
over 50% share | QUANTITY | 0.97+ |
one | QUANTITY | 0.96+ |
today | DATE | 0.96+ |
first layer | QUANTITY | 0.96+ |
code 19 | OTHER | 0.94+ |
first | QUANTITY | 0.92+ |
SAS | ORGANIZATION | 0.89+ |
single pane | QUANTITY | 0.87+ |
three elements | QUANTITY | 0.87+ |
Watches | EVENT | 0.87+ |
6000 plus active customers | QUANTITY | 0.87+ |
SAS | TITLE | 0.85+ |
next couple of years | DATE | 0.84+ |
Cove | ORGANIZATION | 0.79+ |
Pam | PERSON | 0.77+ |
azure | ORGANIZATION | 0.76+ |
six months | QUANTITY | 0.76+ |
100 enterprises | QUANTITY | 0.73+ |
Andi | TITLE | 0.72+ |
Iot G five GS | COMMERCIAL_ITEM | 0.68+ |
Cube | EVENT | 0.66+ |
Odie | ORGANIZATION | 0.64+ |
Fortune | ORGANIZATION | 0.63+ |
single company | QUANTITY | 0.57+ |
Fortune | TITLE | 0.53+ |
info | ORGANIZATION | 0.52+ |
100 | QUANTITY | 0.4+ |
Cube | ORGANIZATION | 0.32+ |
19 | QUANTITY | 0.28+ |
Paula D'Amico, Webster Bank | Io Tahoe | Enterprise Data Automation
>>from around the globe. It's the Cube with digital coverage of enterprise data automation, an event Siri's brought to you by Iot. Tahoe, >>my buddy, We're back. And this is Dave Volante, and we're covering the whole notion of automating data in the Enterprise. And I'm really excited to have Paul Damico here. She's a senior vice president of enterprise data Architecture at Webster Bank. Good to see you. Thanks for coming on. >>Hi. Nice to see you, too. Yes. >>So let's let's start with Let's start with Webster Bank. You guys are kind of a regional. I think New York, New England, uh, leave headquartered out of Connecticut, but tell us a little bit about the bank. >>Yeah, Um, Webster Bank >>is regional Boston And that again, and New York, Um, very focused on in Westchester and Fairfield County. Um, they're a really highly rated saying regional bank for this area. They, um, hold, um, quite a few awards for the area for being supportive for the community and, um, are really moving forward. Technology lives. They really want to be a data driven bank, and they want to move into a more robust Bruce. >>Well, we got a lot to talk about. So data driven that is an interesting topic. And your role as data architect. The architecture is really senior vice president data architecture. So you got a big responsibility as it relates to It's kind of transitioning to this digital data driven bank. But tell us a little bit about your role in your organization, >>right? Um, currently, >>today we have, ah, a small group that is just working toward moving into a more futuristic, more data driven data warehouse. That's our first item. And then the other item is to drive new revenue by anticipating what customers do when they go to the bank or when they log into there to be able to give them the best offer. The only way to do that is you >>have uh huh. >>Timely, accurate, complete data on the customer and what's really a great value on off something to offer that or a new product or to help them continue to grow their savings or do and grow their investment. >>Okay. And I really want to get into that. But before we do and I know you're sort of part way through your journey, you got a lot of what they do. But I want to ask you about Cove. It how you guys you're handling that? I mean, you had the government coming down and small business loans and P p p. And huge volume of business and sort of data was at the heart of that. How did you manage through that? >>But we were extremely successful because we have a big, dedicated team that understands where their data is and was able to switch much faster than a larger bank to be able to offer. The TPP longs at to our customers within lightning speeds. And part of that was is we adapted to Salesforce very, for we've had salesforce in house for over 15 years. Um, you know, pretty much, uh, that was the driving vehicle to get our CPP is loans in on and then developing logic quickly. But it was a 24 7 development role in get the data moving, helping our customers fill out the forms. And a lot of that was manual. But it was a It was a large community effort. >>Well, think about that. Think about that too. Is the volume was probably much, much higher the volume of loans to small businesses that you're used to granting. But and then also, the initial guidelines were very opaque. You really didn't know what the rules were, but you were expected to enforce them. And then finally, you got more clarity. So you had to essentially code that logic into the system in real time, right? >>I wasn't >>directly involved, but part of my data movement Team Waas, and we had to change the logic overnight. So it was on a Friday night was released. We've pushed our first set of loans through and then the logic change, Um, from, you know, coming from the government and changed. And we had to re develop our our data movement piece is again and we design them and send them back. So it was It was definitely kind of scary, but we were completely successful. We hit a very high peak and I don't know the exact number, but it was in the thousands of loans from, you know, little loans to very large loans, and not one customer who buy it's not yet what they needed for. Um, you know, that was the right process and filled out the rate and pace. >>That's an amazing story and really great support for the region. New York, Connecticut, the Boston area. So that's that's fantastic. I want to get into the rest of your story. Now let's start with some of the business drivers in banking. I mean, obviously online. I mean, a lot of people have sort of joked that many of the older people who kind of shunned online banking would love to go into the branch and see their friendly teller had no choice, You know, during this pandemic to go to online. So that's obviously a big trend you mentioned. So you know the data driven data warehouse? I wanna understand that. But well, at the top level, what were some of what are some of the key business drivers there catalyzing your desire for change? >>Um, the ability to give the customer what they need at the time when they need it. And what I mean by that is that we have, um, customer interactions in multiple ways, right? >>And I want >>to be able for the customer, too. Walk into a bank, um, or online and see the same the same format and being able to have the same feel, the same look, and also to be able to offer them the next best offer for them. But they're you know, if they want looking for a new a mortgage or looking to refinance or look, you know, whatever it iss, um, that they have that data, we have the data and that they feel comfortable using it. And that's a untethered banker. Um, attitude is, you know, whatever my banker is holding and whatever the person is holding in their phone, that that is the same. And it's comfortable, so they don't feel that they've, you know, walked into the bank and they have to do a lot of different paperwork comparative filling out paperwork on, you know, just doing it on their phone. >>So you actually want the experience to be better. I mean, and it is in many cases now, you weren't able to do this with your existing against mainframe based Enterprise data warehouse. Is is that right? Maybe talk about that a little bit. >>Yeah, we were >>definitely able to do it with what we have today. The technology we're using, but one of the issues is that it's not timely, Um, and and you need a timely process to be able to get the customers to understand what's happening. Um, you want you need a timely process so we can enhance our risk management. We can apply for fraud issues and things like that. >>Yeah, so you're trying to get more real time in the traditional e g W. It's it's sort of a science project. There's a few experts that know how to get it. You consider line up. The demand is tremendous, and often times by the time you get the answer, you know it's outdated. So you're trying to address that problem. So So part of it is really the cycle time, the end end cycle, time that you're pressing. And then there's if I understand it, residual benefits that are pretty substantial from a revenue opportunity. Other other offers that you can you can make to the right customer, Um, that that you, you maybe know through your data. Is that right? >>Exactly. It's drive new customers, Teoh new opportunities. It's enhanced the risk, and it's to optimize the banking process and then obviously, to create new business. Um, and the only way we're going to be able to do that is that we have the ability to look at the data right when the customer walks in the door or right when they open up their app. And, um, by doing, creating more to New York time near real time data for the data warehouse team that's giving the lines of business the ability to to work on the next best offer for that customer. >>Paulo, we're inundated with data sources these days. Are there their data sources that you maybe maybe had access to before? But perhaps the backlog of ingesting and cleaning and cataloging and you know of analyzing. Maybe the backlog was so great that you couldn't perhaps tap some of those data sources. You see the potential to increase the data sources and hence the quality of the data, Or is that sort of premature? >>Oh, no. Um, >>exactly. Right. So right now we ingest a lot of flat files and from our mainframe type of Brennan system that we've had for quite a few years. But now that we're moving to the cloud and off Prem and on France, you know, moving off Prem into like an s three bucket. Where That data king, We can process that data and get that data faster by using real time tools to move that data into a place where, like, snowflake could utilize that data or we can give it out to our market. >>Okay, so we're >>about the way we do. We're in batch mode. Still, so we're doing 24 hours. >>Okay, So when I think about the data pipeline and the people involved, I mean, maybe you could talk a little bit about the organization. I mean, you've got I know you have data. Scientists or statisticians? I'm sure you do. Ah, you got data architects, data engineers, quality engineers, you know, developers, etcetera, etcetera. And oftentimes, practitioners like yourself will will stress about pay. The data's in silos of the data quality is not where we want it to be. We have to manually categorize the data. These are all sort of common data pipeline problems, if you will. Sometimes we use the term data ops, which is kind of a play on Dev Ops applied to the data pipeline. I did. You just sort of described your situation in that context. >>Yeah. Yes. So we have a very large data ops team and everyone that who is working on the data part of Webster's Bay has been there 13 14 years. So they get the data, they understand that they understand the lines of business. Um, so it's right now, um, we could we have data quality issues, just like everybody else does. We have. We have places in him where that gets clans, Um, and we're moving toward. And there was very much silo data. The data scientists are out in the lines of business right now, which is great, cause I think that's where data science belongs. We should give them on. And that's what we're working towards now is giving them more self service, giving them the ability to access the data, um, in a more robust way. And it's a single source of truth. So they're not pulling the data down into their own like tableau dashboards and then pushing the data back out. Um, so they're going to more not, I don't want to say a central repository, but a more of a robust repository that's controlled across multiple avenues where multiple lines of business can access. That said, how >>got it? Yes, and I think that one of the key things that I'm taking away from your last comment is the cultural aspects of this bite having the data. Scientists in the line of business, the line of lines of business, will feel ownership of that data as opposed to pointing fingers, criticizing the data quality they really own that that problem, as opposed to saying, Well, it's it's It's Paulus problem, >>right? Well, I have. My problem >>is, I have a date. Engineers, data architects, they database administrators, right, Um, and then data traditional data forwarding people. Um, and because some customers that I have that our business customers lines of business, they want to just subscribe to a report. They don't want to go out and do any data science work. Um, and we still have to provide that. So we still want to provide them some kind of regimen that they wake up in the morning and they open up their email. And there's the report that they just drive, um, which is great. And it works out really well. And one of the things is why we purchase I o waas. I would have the ability to give the lines of business the ability to do search within the data. And we read the data flows and data redundancy and things like that help me cleanup the data and also, um, to give it to the data. Analysts who say All right, they just asked me. They want this certain report, and it used to take Okay, well, we're gonna four weeks, we're going to go. We're gonna look at the data, and then we'll come back and tell you what we dio. But now with Iot Tahoe, they're able to look at the data and then, in one or two days of being able to go back and say, yes, we have data. This is where it is. This is where we found that this is the data flows that we've found also, which is that what I call it is the birth of a column. It's where the calm was created and where it went live as a teenager. And then it went to, you know, die very archive. Yeah, it's this, you know, cycle of life for a column. And Iot Tahoe helps us do that, and we do. Data lineage has done all the time. Um, and it's just takes a very long time. And that's why we're using something that has AI and machine learning. Um, it's it's accurate. It does it the same way over and over again. If an analyst leads, you're able to utilize talked something like, Oh, to be able to do that work for you. I get that. >>Yes. Oh, got it. So So a couple things there is in in, In researching Iot Tahoe, it seems like one of the strengths of their platform is the ability to visualize data the data structure and actually dig into it. But also see it, um, and that speeds things up and gives everybody additional confidence. And then the other pieces essentially infusing AI or machine intelligence into the data pipeline is really how you're attacking automation, right? And you're saying it's repeatable and and then that helps the data quality, and you have this virtuous cycle. Is there a firm that and add some color? Perhaps >>Exactly. Um, so you're able to let's say that I have I have seven cause lines of business that are asking me questions and one of the questions I'll ask me is. We want to know if this customer is okay to contact, right? And you know, there's different avenues, so you can go online to go. Do not contact me. You can go to the bank and you can say I don't want, um, email, but I'll take tests and I want, you know, phone calls. Um, all that information. So seven different lines of business asked me that question in different ways once said okay to contact the other one says, you know, customer one to pray All these, You know, um, and each project before I got there used to be siloed. So one customer would be 100 hours for them to do that and analytical work, and then another cut. Another analysts would do another 100 hours on the other project. Well, now I can do that all at once, and I can do those type of searches and say, Yes, we already have that documentation. Here it is. And this is where you can find where the customer has said, you know, you don't want I don't want to get access from you by email, or I've subscribed to get emails from you. >>Got it. Okay? Yeah. Okay. And then I want to come back to the cloud a little bit. So you you mentioned those three buckets? So you're moving to the Amazon cloud. At least I'm sure you're gonna get a hybrid situation there. You mentioned Snowflake. Um, you know what was sort of the decision to move to the cloud? Obviously, snowflake is cloud only. There's not an on Prem version there. So what precipitated that? >>Alright, So, from, um, I've been in >>the data I t Information field for the last 35 years. I started in the US Air Force and have moved on from since then. And, um, my experience with off brand waas with Snowflake was working with G McGee capital. And that's where I met up with the team from Iot to house as well. And so it's a proven. So there's a couple of things one is symptomatic of is worldwide. Now to move there, right, Two products, they have the on frame in the offering. Um, I've used the on Prem and off Prem. They're both great and it's very stable and I'm comfortable with other people are very comfortable with this. So we picked. That is our batch data movement. Um, we're moving to her, probably HBR. It's not a decision yet, but we're moving to HP are for real time data which has changed capture data, you know, moves it into the cloud. And then So you're envisioning this right now in Petrit, you're in the S three and you have all the data that you could possibly want. And that's Jason. All that everything is sitting in the S three to be able to move it through into snowflake and snowflake has proven cto have a stability. Um, you only need to learn in train your team with one thing. Um, aws has is completely stable at this 10.2. So all these avenues, if you think about it going through from, um, you know, this is your your data lake, which is I would consider your s three. And even though it's not a traditional data leg like you can touch it like a like a progressive or a dupe and into snowflake and then from snowflake into sandboxes. So your lines of business and your data scientists and just dive right in, Um, that makes a big, big win. and then using Iot. Ta ho! With the data automation and also their search engine, um, I have the ability to give the data scientists and eight analysts the the way of they don't need to talk to i t to get, um, accurate information or completely accurate information from the structure. And we'll be right there. >>Yes, so talking about, you know, snowflake and getting up to speed quickly. I know from talking to customers you get from zero to snowflake, you know, very fast. And then it sounds like the i o Ta ho is sort of the automation cloud for your data pipeline within the cloud. This is is that the right way to think about it? >>I think so. Um, right now I have I o ta >>ho attached to my >>on Prem. And, um, I >>want to attach it to my offering and eventually. So I'm using Iot Tahoe's data automation right now to bring in the data and to start analyzing the data close to make sure that I'm not missing anything and that I'm not bringing over redundant data. Um, the data warehouse that I'm working off is not a It's an on Prem. It's an Oracle database and its 15 years old. So it has extra data in it. It has, um, things that we don't need anymore. And Iot. Tahoe's helping me shake out that, um, extra data that does not need to be moved into my S three. So it's saving me money when I'm moving from offering on Prem. >>And so that was a challenge prior because you couldn't get the lines of business to agree what to delete or what was the issue there. >>Oh, it was more than that. Um, each line of business had their own structure within the warehouse, and then they were copying data between each other and duplicating the data and using that, uh so there might be that could be possibly three tables that have the same data in it. But it's used for different lines of business. And so I had we have identified using Iot Tahoe. I've identified over seven terabytes in the last, um, two months on data that is just been repetitive. Um, it just it's the same exact data just sitting in a different scheme. >>And and that's not >>easy to find. If you only understand one schema that's reporting for that line of business so that >>yeah, more bad news for the storage companies out there. Okay to follow. >>It's HCI. That's what that's what we were telling people you >>don't know and it's true, but you still would rather not waste it. You apply it to, you know, drive more revenue. And and so I guess Let's close on where you see this thing going again. I know you're sort of part way through the journey. May be you could sort of describe, you know, where you see the phase is going and really what you want to get out of this thing, You know, down the road Midterm. Longer term. What's your vision or your your data driven organization? >>Um, I want >>for the bankers to be able to walk around with on iPad in their hands and be able to access data for that customer really fast and be able to give them the best deal that they can get. I want Webster to be right there on top, with being able to add new customers and to be able to serve our existing customers who had bank accounts. Since you were 12 years old there and now our, you know, multi. Whatever. Um, I want them to be able to have the best experience with our our bankers, and >>that's awesome. I mean, that's really what I want is a banking customer. I want my bank to know who I am, anticipate my needs and create a great experience for me. And then let me go on with my life. And so that is a great story. Love your experience, your background and your knowledge. Can't thank you enough for coming on the Cube. >>No, thank you very much. And you guys have a great day. >>Alright, Take care. And thank you for watching everybody keep it right there. We'll take a short break and be right back. >>Yeah, yeah, yeah, yeah.
SUMMARY :
of enterprise data automation, an event Siri's brought to you by Iot. And I'm really excited to have Paul Damico here. Hi. Nice to see you, too. So let's let's start with Let's start with Webster Bank. awards for the area for being supportive for the community So you got a big responsibility as it relates to It's kind of transitioning to And then the other item is to drive new revenue Timely, accurate, complete data on the customer and what's really But I want to ask you about Cove. And part of that was is we adapted to Salesforce very, And then finally, you got more clarity. Um, from, you know, coming from the government and changed. I mean, a lot of people have sort of joked that many of the older people Um, the ability to give the customer what they a new a mortgage or looking to refinance or look, you know, whatever it iss, So you actually want the experience to be better. Um, you want you need a timely process so we can enhance Other other offers that you can you can make to the right customer, Um, and the only way we're going to be You see the potential to Prem and on France, you know, moving off Prem into like an s three bucket. about the way we do. quality engineers, you know, developers, etcetera, etcetera. Um, so they're going to more not, I don't want to say a central criticizing the data quality they really own that that problem, Well, I have. We're gonna look at the data, and then we'll come back and tell you what we dio. it seems like one of the strengths of their platform is the ability to visualize data the data structure and to contact the other one says, you know, customer one to pray All these, You know, So you you mentioned those three buckets? All that everything is sitting in the S three to be able to move it through I know from talking to customers you get from zero to snowflake, Um, right now I have I o ta Um, the data warehouse that I'm working off is And so that was a challenge prior because you couldn't get the lines Um, it just it's the same exact data just sitting If you only understand one schema that's reporting Okay to That's what that's what we were telling people you You apply it to, you know, drive more revenue. for the bankers to be able to walk around with on iPad And so that is a great story. And you guys have a great day. And thank you for watching everybody keep it right there.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Paul Damico | PERSON | 0.99+ |
Dave Volante | PERSON | 0.99+ |
Webster Bank | ORGANIZATION | 0.99+ |
Westchester | LOCATION | 0.99+ |
Paula D'Amico | PERSON | 0.99+ |
iPad | COMMERCIAL_ITEM | 0.99+ |
New York | LOCATION | 0.99+ |
one | QUANTITY | 0.99+ |
Connecticut | LOCATION | 0.99+ |
100 hours | QUANTITY | 0.99+ |
S three | COMMERCIAL_ITEM | 0.99+ |
15 years | QUANTITY | 0.99+ |
Jason | PERSON | 0.99+ |
France | LOCATION | 0.99+ |
Siri | TITLE | 0.99+ |
first item | QUANTITY | 0.99+ |
three tables | QUANTITY | 0.99+ |
24 hours | QUANTITY | 0.99+ |
thousands | QUANTITY | 0.99+ |
two months | QUANTITY | 0.99+ |
each line | QUANTITY | 0.99+ |
Fairfield County | LOCATION | 0.99+ |
HP | ORGANIZATION | 0.99+ |
Friday night | DATE | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
Two products | QUANTITY | 0.99+ |
Boston | LOCATION | 0.99+ |
four weeks | QUANTITY | 0.99+ |
US Air Force | ORGANIZATION | 0.98+ |
over 15 years | QUANTITY | 0.98+ |
two days | QUANTITY | 0.98+ |
New England | LOCATION | 0.98+ |
each project | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
Iot Tahoe | PERSON | 0.98+ |
Paulo | PERSON | 0.98+ |
Iot Tahoe | ORGANIZATION | 0.98+ |
both | QUANTITY | 0.97+ |
one thing | QUANTITY | 0.97+ |
first set | QUANTITY | 0.97+ |
TPP | TITLE | 0.97+ |
Paulus | PERSON | 0.97+ |
seven cause | QUANTITY | 0.97+ |
one schema | QUANTITY | 0.97+ |
one customer | QUANTITY | 0.96+ |
13 14 years | QUANTITY | 0.96+ |
over seven terabytes | QUANTITY | 0.96+ |
three | QUANTITY | 0.96+ |
single source | QUANTITY | 0.95+ |
Webster's Bay | ORGANIZATION | 0.95+ |
Webster | ORGANIZATION | 0.94+ |
seven different lines | QUANTITY | 0.94+ |
Cove | ORGANIZATION | 0.94+ |
Prem | ORGANIZATION | 0.93+ |
Enterprise Data Automation | ORGANIZATION | 0.92+ |
eight analysts | QUANTITY | 0.92+ |
10.2 | QUANTITY | 0.89+ |
12 years old | QUANTITY | 0.89+ |
Iot | ORGANIZATION | 0.88+ |
three buckets | QUANTITY | 0.88+ |
Snowflake | EVENT | 0.86+ |
last 35 years | DATE | 0.84+ |
Team Waas | ORGANIZATION | 0.8+ |
Io Tahoe | PERSON | 0.79+ |
24 7 development | QUANTITY | 0.72+ |
Salesforce | ORGANIZATION | 0.68+ |
each | QUANTITY | 0.68+ |
Amazon cloud | ORGANIZATION | 0.66+ |
Tahoe | PERSON | 0.66+ |
zero | QUANTITY | 0.64+ |
snowflake | EVENT | 0.61+ |
things | QUANTITY | 0.57+ |
Vipin Jain, Pensando | Future Proof Your Enterprise 2020
>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. Hi, I'm stupid, man. And welcome to a cube conversation. I'm coming to you from our Boston area studio, and we're gonna be talking about the networking giant. So, uh, joining me is the first time on the program some of the members been on and the cover launch of Pensando so vivid Jane, his CTO and co founder of Pensando Bipin thanks so much for joining us. >>Thank you. It was very nice talking to you. >>All right, so in a big theme we've been talking about for a number of years now is multi cloud. And, you know, I go back and think about you know, that the concept of cloud and even, you know, I've been around long enough You think about the and one of the challenges you look at is well, security is always a challenge. The other things network bandwidth is not infinite. The speed of light has not been solved, though you know, help us understand is you know the first I guess give our audience a little bit of your background. As I said, anybody in the networking world knows less team, though. Tell us, you know, have you been on the journey with them for all of that? Or And you know what brought you and Sandy? >>Yes. Yes. Um, I mean, I've been in the journey with the team since 2000 and six, so it's pretty long, I would say 14 years now, and it's been tremendous. Um uh, at heart, I'm an engineer who takes, you know, Brian brilliant things and taking upon challenges. And I've got multiple startups before this been in a new era, The more startups before that. And of course, you know, they were not experience more independent startups. And, you know, all through the course, I have gained appreciation for, like, you know, starting all the way from silicon to build a distributed systems and a u io all the way up to the fully consumable, you know, system. So I I totally understand the the angle I need to look at this time in a holistic manner. Having contributed to Cisco, UCS of and Nexus products on. Before joining pensando, I was, um I was contributing with my own open source container networking project, which is quite exciting to see How do you evangelize, You know, my own my own core, and that was fun. And that's where I come from, But, uh, but I I'm I'm a software engineer. To start off it started contributing to a six, then started going into the application world with containers trying to pull a container networking with, Ah, we did a server product with Cisco UCS and on and pretty much all over the stack with respect, participation. So that's my background. Um, but it's being exciting to consider what's next for me. And I was largely trying to see >>so, so definitive, actually, if I If I could jump in there, right, you know, I think back the UCS it was, You know, some of those ways I gather virtualization had been around for quite a number of years at that point. But, you know, how do you optimize it you're in. How do you transform infrastructure toe live for those environments, though? You know, UCS, You know, remember, people get back saying, you know, Cisco getting into services like Well, they are. They are because they're changing that compute model really caught that. You know, Cisco led that way. If the urge instructor, so many things you talked about that we'll get to later in the interview open for station. When I look out today, you know infrastructure's paint a lot and cloud obviously, is a huge impact, but also the application. So help us understand kind of the the waves that were writing together And, you know, what was it that you know in Santo decided to build in order to meet what you know, the customers of a require >>Um So I think, you know, going back to the UCS common that you had We started off thinking, for example, what are what were the challenges with respect is scaling out the deployment of servers and we quickly realized that manageability is number one challenge on. And of course, you know when we speak about manageability, it comes down to the underpinnings of what you're building. Are you Are you able to see the entire infrastructure together, or are you still seeing those big pieces? And that's when I think UCS was born to say that Look, we need to bring everything together that could be consumed in a holistic manner. And for that you have to have all those components there are There are somewhat independent to be consumed as a unified thing. And which is why I think it was a unified computing system. UCS. Um and then I think, you know, and Sanders a journey that takes it to probably not just that concept, but in general, the the challenges and the disruptions that we're seeing to the next level. So, I mean, just to summarize, I would say we started off looking at all the disruptions that are happening in the industry. And there are many of those I'm happy to talk about, which means we looked at, uh and then we looked at What are the consumption models that people are largely, you know, finding it very appealing these days because the days in which you're going to write a spirit to do something is still pretty old you want to be able to consume and most this after consumable way, How can we build, you know, how can you build systems that are programmable in the field? Those kind of things? The consumption model reliability software is the friendly factor there, and highly appealing to you guys and all their last one. You know, at least we also we also wanted to be really heard in the game, competitiveness wise. So those were like the the overarching set of things there that we started to think about, like, what descriptions are we going to solve, um, and how the consumption model needs to be for or ah, for the future of infrastructure. And how can we get that key, which is which is far ahead and better than anything that exists out there? So that's where we started to look at. Let's bring something which is bigger B sphere and and something. Even if we have the possibility of feeling it. Let's go ahead and they're doing their anything. >>Yeah, and absolutely. There's been so much discussion over the last decade or so about about software's eating the world and what's going on there yet you know, your your team mates. It's a lot of times it's been the chip set. There have been some huge ripples in the industry, you know, major acquisitions by some of the big, disruptive companies out there. Apple made a silicon acquisition, you know, everybody paid and that will have. You can't talk about disruption today without talking about Amazon. And, of course, when Amazon bought Annapurna Labs, you know, those of us looking at the Enterprise and the clouds base was like, Keep an eye on this. And absolutely, it's been something over the last year or so now, where we've seen Amazon roll things out and, of course, a critical component of what Amazon's doing from outposts. So with that as the stage there, you talked about wanting to be interesting leading, you know Amazon, you know, is really sick, and it's setting the bar that everyone is measured against. And when I look at the solution pensando, the kind of best comparable analogy that we've seen is, you know, look at what Nitro chip can do. This is an alternative for all of the other 1000 for customers that might not want to get them from Amazon. Is that a fair comparison? And how would you line up what founder is doing compared to what Amazon has done there? >>Um, so you know, what you've seen in the Amazon announcement really is possible. Amazon is a great benchmark to beat eso No make mistakes. We are very happy to say that, you know, we are We are doing by comfortably so But then, you know, Amazon is more than more than just the just the chips that are that they are building. I mean, what you consume is what they're building and underneath the engines are really part up by by the nicety off all these things that they're very, um, having said that, you know, And Sandra was consisting off both the you know, it's recognized us as a team which has been in traditionally building chips. But yet I think you know, the the Iot or the the previous venture from Mpls Team was somewhat of an eye opening as to how bringing things together is much more value in op, ex and and simplifying things is a huge, huge value compared to just putting performance and those things. So why this is important? That is another aspect which is important in trying to simplify things and make it consumable like software. And Sandra itself has probably, you know, I would say, Ah, good chunk, like about 60% of people in software team and not the, you know, basic harbor t This is not to say that, you know, we, you know, we are under emphasizing one versus the other. Software is a bigger beast when you start trying to build all those programs on a programmable and doing that here and start to roll out those applications on. So that's why I think the emphasis on software is there. Having said that, you know, it's the software that runs the data path pipeline. There's also a layer of software that we're building that can help manage all you know, all the product in a more cohesive manner and unified. >>Okay, that's Ah, thank you for laying that out. You mentioned you've got some background and open for definitely an area where, for a number of years, you know, Amazon has not exactly, uh, open source. Not exactly been a strength for AWS. They have put a lot of effort. They've done some president IRS over the last couple of years. >>And >>how do you see open source fitting into the space? What is I kind of the philosophy of pensando when it comes to open source. And where do you see it playing in the You know, this network piece of the multi cloud. >>Yeah, no, I think it's It's ah, it's a squared, relevant in a way that you know of the cloud native movement on how applications with very Onda normalization of AP eyes across multiple clouds. Israel, We are all seeing the benefits offered. And I think that that trend will continue and which is all driven through open source Ah, you know, community that exist in, you know, in the heart of the word. So personally for me, I think I learned a whole lot of things in the open source community. You know, the importance off evangelizing whatever you're working on, the reason to have convinced other people about contributing into what you're working on on. Frankly, I also learned how difficult it is to make revenues in an open source based part of that strategy. So I think you know that those were the things that I got away from it when I was doing my own open source project of container networking. Um, but at the same time, pensando, uh, you know, we have to make sure that we are 100% aligned with anything that's happening in open source. Never replicated, Um, anything that might be that might be happening in open source instead tried to make people use those things in the best possible way and in the most efficient way and the easiest possible way to use those. So our strategy largely is that, you know, embrace open source which exists are there from an infrastructure point of view, we are collaborating and communicating with less of the users are Hello. I think we're going to standardize most of things we're looking in before community. So our stands largely is that, you know, if we are building a programmable platform than the community is what is gonna driver and we are very much working towards a step by step, of course, trying to get through, you know, a stable state where we could we could not just empower people who are who are taking up the open source efforts which are going on. But at the same time, we can also contribute our program are programs into the open source community and defining the right abstractions into into the community. Um, because we came out of stealth pretty recently, you'll start seeing that and helping those activity as Well, >>excellent. Well, you know the launch of Pensando you had a phenomenal lineup. Not only you know, John Chambers obviously has the relationship with your theme, but you know, oh, am partners of Hewlett Packard, Enterprise and IBM, as well as the Marquis of Goldman Sachs. Things look a little bit different in the first half of 2020 and then they didn't end of 29 teams. So, you know, curious, You know that the global pandemic, the rippling financial implications, you know, what does that mean? The pensando. How has that impacted conversations that you're having with your >>Well, one thing I know at a broader level, let me cover, um, where things are heading. And in that sense, you know, I see that network and the infrastructure in general cloud infrastructure networking it's going to become. And we have realized it's this during during during recent early 20 twenties that that is going to be very important to have the have a new underpinning infrastructure that is not just working efficiently, securely, but is, you know, highly cost effective and very high performance, you know, ranging from people who are trying to connect from home to people who are trying to use videoconferencing and people who are going to be more and more use cloud based services even to order simple of the data being, you know, going to source for so network will become essential, you know, essential element for four things as we go forward. And we do see that being embraced by our customers and and things where we were trying to communicate that, you know, look, you will need performance and cost benefits are becoming more and more real Now. It's like, oh, things that we were having things in the pipeline for us. We need to work on that now. And the reason is because the things that we anticipated the demand increase, which is gonna happen over the fear of years, is happening literally in a few months. And so that is what we see. We are definitely, you know, very well poised to take advantage of their of their demand for sure. But also the fact that you know it needs to be done super efficiently. And so I think we are. You know, we are right. Well, I would say, you know, situated to be able to take advantage of start. >>Yeah, absolutely. You know, one thing you can't control as a company is you know what the global situation is when you come out of stealth and, you know, move through some of those early phases, you know, you've been part of You said a number of startups you've been part of been in give us a little bit of the inside baseball of, you know, being part of Rondo. You know, any stories on a little some of the ups and downs on the multi year journey to get where you are today? >>Definitely. I think. You know, um, minutes aren't good. They are largely an execution play. Relatively independent startup is is going to be about you know, how we cracked the overall market market fit and, ah, on execution, Of course, on deal with maybe in a competition in a different way, of course, like maybe big companies are our great partners. At the same time, you have to navigate that. So the overall the overall landscape in Spain and forces forces not is it's quite different. We can be much more border than we are independent company In trying to disrupt almost anything because we don't have any point of view to define per se. We do exactly, You know, what could be the most disruptive way, too, to potentially benefit the users on day? That's a big, you know, big change. I would say, um, we are being but paranoid as well at the same time, impractical to look at. You know how how we could navigate this situation in a very practical may. And the journey off, often independent startup is, you know, personally, for me, this is this is my fourth in different and start and best off. Off off, all independent. Once, I would stay largely because the kind of tradition that we're getting being an independent company is so huge. I'm just concerned about those things. But what We're really trying to trying to ensure that, you know, we can't get our stuff, but I want you and we started. >>Excellent. Guess what? One of the other things about being a startup is You know what you know adjustments You need to make along the way. So I'm curious. As you know, you've gone to some of your early customers. Any feedback or adjustments in some of the use cases or, you know, things that you've learned along the way that you can share. >>Um, fundamentally, at a base level, we haven't shifted from what we started off. We look at disruptions on on how consumption models are going to be changing, how speeds and feeds are gonna become important because, you know, because most law is going to be almost operating, how we how we deliver things into and containers are going to be a primary, you know, vehicle to deliver and build applications. So we recognize those disruptions, and we haven't changed, But normally from those disruptions that we wanted people after her. Uh, but at the same time, I think, you know, as we went and socialize our ideas and on architecture and designs with customers, we realized that that they are giving us lots more feedback on work all we could do and ah, and starting to become like we could take on different segments of market and not just one. So why stick ourselves to the data center power? Why not work on something on edge, blur wine or wine are real solutions for five G where latency and and performance is super crucial. Why don't take up on, you know, branch that use cases. So there are many things that are opening up. Um, and largely the you know, the shift. Or I would say the the inclination of what we should change versus not is happening with respect to where our customers are driving us. And and it is very important to make sure that you know the users of our lives Articulating all of the shift happens as opposed to, uh, you know, as opposed to anything else. We listen to them like super, super carefully, uh, and at the same time trying to make sure that we not only meet their means for you there their demands. So, um, definitely, you know, from the from the overall landscape of things, we are starting to get a lot more than what we are capture, which is good news For the same time, we're trying to also, uh, take on one part. I'm you know, >>all right, Vivienne, I can't let you off the hook as the cto without talking a little bit about that. You know, I think earlier in my career there was the old discussion and said you know, we should have started it, you know, a year or two ago. But, you know, we didn't. So we should start it today with changing pace of technology. You know, I've always said, you know, if I could I'd rather wait a year because I could take the next generation. I can take advantage of all these other things, but I can't wait, because then I'd never ship any things that I need to start now, Give us a little bit, you know, Look out in the future. How is your architecture designed to be able to take advantage of all the wonders coming with five G and everything there, Um, and anything that we should be looking at, You know, through the next kind of 12 18 months on the roadmap that you could share >>your Ah, yes. So, um, I would first of all say that we didn't build a part of, actually, what we build was a platform on which we can build multiple products. And we started we started off going there because we thought that, you know, the the platform that we're building is capable of capable of doing a lot more things than than one use case that we start off with. And so, to that point, I would say that yes. I mean, he started focusing on one product initially on the possibilities off. Trying to take it to multiple segments is is normally very much there. But we are already, you know, having those conversations to see what is the core set of use cases that we could we could get into for different segments. Besides the data center, you know, public Private Data center, you're looking at edge. We're looking by the looking at, Yeah, you mentioned this is as well as the, you know, storage and conversion infrastructure. So I would say that the food of all those things that we're starting to engage is going to start showing up in next 18 months. I could actually I think we are very well boys to take advantage of what we have. The hardware that we're shipping is going to be 100% compatible with four programs, but I don't those. So that is that is lot more possibilities are interesting. More use cases as people. The software's architecture that we have built is very extensible as well. Eh so we believe that. You know, uh, we believe that we can normally satisfy those use cases, but we're starting to you get into those things now, which will start to show up in and actually useful products of unusable for us with customer testimonials and then maybe 12 to 18 months from now. All >>right, well, thank you so much. It's great to catch up with. You really appreciate you coming on. >>Thank you to Because they're talking to you. And, you know, I appreciate your time. >>All right, I'm stew minimum. And be sure to check out the cube dot net for all the coverage. Go see the launch that we did. So in the second half of 2019. Thank you for watching you. Yeah, Yeah, yeah, yeah.
SUMMARY :
I'm coming to you from our Boston area studio, It was very nice talking to you. And, you know, I go back and think about you know, that the concept of cloud And of course, you know, they were not experience more independent startups. in order to meet what you know, the customers of a require How can we build, you know, how can you build systems that are programmable in the field? the kind of best comparable analogy that we've seen is, you know, look at what Nitro chip so But then, you know, Amazon is more than more than just the just the chips you know, Amazon has not exactly, uh, open source. And where do you see it playing in the You know, which is all driven through open source Ah, you know, community that exist in, the rippling financial implications, you know, what does that mean? And in that sense, you know, I see that network and the infrastructure us a little bit of the inside baseball of, you know, being part of Rondo. startup is is going to be about you know, As you know, you've gone to some of your early customers. Um, and largely the you know, we should have started it, you know, a year or two ago. But we are already, you know, having those conversations You really appreciate you coming on. And, you know, I appreciate your time. Thank you for watching you.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
IBM | ORGANIZATION | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
UCS | ORGANIZATION | 0.99+ |
Hewlett Packard | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Spain | LOCATION | 0.99+ |
Boston | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
100% | QUANTITY | 0.99+ |
Goldman Sachs | ORGANIZATION | 0.99+ |
Apple | ORGANIZATION | 0.99+ |
Jane | PERSON | 0.99+ |
Vivienne | PERSON | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
14 years | QUANTITY | 0.99+ |
Sandra | PERSON | 0.99+ |
12 | QUANTITY | 0.99+ |
Nexus | ORGANIZATION | 0.99+ |
John Chambers | PERSON | 0.99+ |
Annapurna Labs | ORGANIZATION | 0.99+ |
29 teams | QUANTITY | 0.99+ |
Cube Studios | ORGANIZATION | 0.99+ |
Brian | PERSON | 0.99+ |
Marquis | PERSON | 0.99+ |
Vipin Jain | PERSON | 0.99+ |
fourth | QUANTITY | 0.98+ |
a year | QUANTITY | 0.98+ |
Pensando | ORGANIZATION | 0.98+ |
2020 | DATE | 0.98+ |
Sanders | PERSON | 0.98+ |
18 months | QUANTITY | 0.98+ |
first time | QUANTITY | 0.98+ |
both | QUANTITY | 0.98+ |
Sandy | PERSON | 0.98+ |
today | DATE | 0.98+ |
1000 | QUANTITY | 0.98+ |
early 20 twenties | DATE | 0.98+ |
last year | DATE | 0.98+ |
One | QUANTITY | 0.98+ |
2000 | DATE | 0.97+ |
Enterprise | ORGANIZATION | 0.97+ |
a year | DATE | 0.97+ |
one | QUANTITY | 0.97+ |
first | QUANTITY | 0.97+ |
Israel | LOCATION | 0.97+ |
IRS | ORGANIZATION | 0.96+ |
six | QUANTITY | 0.96+ |
about 60% | QUANTITY | 0.96+ |
Santo | LOCATION | 0.96+ |
Future Proof Your Enterprise | TITLE | 0.95+ |
one product | QUANTITY | 0.94+ |
Mpls Team | ORGANIZATION | 0.94+ |
one part | QUANTITY | 0.94+ |
four programs | QUANTITY | 0.93+ |
two ago | DATE | 0.92+ |
four things | QUANTITY | 0.91+ |
dot net | ORGANIZATION | 0.89+ |
last decade | DATE | 0.89+ |
12 18 months | QUANTITY | 0.87+ |
second half of 2019 | DATE | 0.86+ |
first half of 2020 | DATE | 0.85+ |
last couple of years | DATE | 0.83+ |
next 18 months | DATE | 0.82+ |
Pensando Bipin | ORGANIZATION | 0.77+ |
Rondo | ORGANIZATION | 0.77+ |
pandemic | EVENT | 0.75+ |
Iot | ORGANIZATION | 0.74+ |
UCS | TITLE | 0.7+ |
David Piester, Io-Tahoe & Eddie Edwards, Direct Energy | AWS re:Invent 2019
>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Hey, welcome back to the cubes. Coverage of AWS 19 from Las Vegas. This is Day two of our coverage of three days. Two sets, lots of cute content. Lisa Martin here with Justin Warren, founder and chief analyst. A pivot nine. Justin and I are joined by a couple of guests New to the Cube. We've got David Meister next to meet Global head of sales for Io Tahoe. Welcome. Eddie Edwards with a cool name. Global Data Service is director from Direct Energy. Welcome, Eddie. Thank you. Okay, So, David, I know we had somebody from Io Tahoe on yesterday, but I'd love for you to give her audience an overview of Io Tahoe, and then you gotta tell us what the name means. >>Okay. Well, day pie stir. Io Tahoe thinks it's wonderful event here in AWS and excited to be here. Uh, I, oh, Tahoe were located in downtown on Wall Street, New York on and I Oh, Tahoe. Well, there's a lot of different meanings, but mainly Tahoe for Data Lake Input output into the lake is how it was originally meant So But ah, little background on Io Tahoe way are 2014. We came out way started in stealth came out of stealth in 2017 with two signature clients. When you're going to hear from in a moment direct energy, the other one g e and we'll speak to those in just a moment I owe Tahoe takes a unique approach way have nine machine learning machine learning algorithms 14 future sets that interrogates the data. At the data level, we go past metadata, so solving that really difficult data challenge and I'm gonna let Eddie describe some of the use cases that were around data migration, P II discovery, and so over to you >>a little bit about direct energy. What, you where you're located, What you guys do and how data is absolutely critical to your business. Yeah, >>sure. So direct energy. Well, it's the largest residential energy supplier in the er us around 5000 employees. Loss of this is coming from acquisitions. So as you can imagine, we have a vast amount of data that we need some money. Currently, I've got just under 1700 applications in my portfolio. Onda a lot. The challenges We guys are around the cost, driving down costs to serve so we can pass that back onto our consumers on the challenge that with hard is how best to gain that understanding. Where I alter whole came into play, it was vainly around off ability to use the products quickly for being able to connect to our existing sources to discover the data. What, then, that Thio catalog that information to start applying the rules around whether it be legislation like GDP, are or that way gets a lot of cases where these difference between the states on the standings and definitions so the product gives us the ability to bring a common approach So that information a good success story, would be about three months ago, we took the 30 and applications for our North America home business. We were able to running through the product within a week on that gave us the information to them, consolidate the estate downwards, working with bar business colleagues Thio, identify all the data we don't see the archival retention reels on, bring you no more meaning to the data on actually improve ourselves opportunities by highlights in that rich information that was not known >>previously. Yes, you mentioned that you growing through acquisition. One thing that people tend to underestimate around I t. Is that it's not a heterogeneous. It's not a homogeneous environments hatred genius. Like as soon as you buy another company, you've got another. You got another silent. You got another day to say. You got something else. So walk us through how iota who actually deals with that very disparity set of data that you've night out inherited from just acquiring all of these different companies? >>Yeah, so exactly right. You know, every time we a private organization, they would have various different applications that were running in the estate. Where would be an old article? I say, Hey, sequel tap environment. What we're able to do is use the products to plug in a name profile to understand what's inside knowledge they have around their customer base and how we can number in. That's in to build up a single view and offer additional products value adding products or rewards for customers, whether that be, uh on our hay truck side our heat in a ventilation and air con unit, which again we have 4600 engineers in that space. So it's opening up new opportunities and territories to us. >>Go ahead, >>say additionally to that, we're across multiple sectors, but the problem death by Excel was in the financial service is we're located on Wall Street. As I mentioned on this problem of legacy to spirit, data, sources and understanding, and knowing your data was a common problem, banks were just throwing people at the problem. So his use case with 1700 applications, a lot of them legacy is fits right into what we d'oh and cataloging is he mentioned. We catalogue with that discover in search engine that we have. We enable search cross enterprise. But Discovery we auto tag and auto classify the sensitive data into the catalog automatically, and that's a key part of what we do. And it >>was that Dave is something in thinking of differentiation, wanting to know what is unique about Iota. What was the opportunity that you guys saw? But is the cataloging and the sensitive information one of the key things that makes it a difference >>Way enabled data governance. So it's not just sensitive information way catalog, entire data set multiple data sets. And what makes us what differentiates us is that the machine learning way Interrogate in brute force The data So every single so metadata beyond so 1,000,000,000 rose. 100,000 columns. Large, complex data sets way. Interrogate every field value. And we tell you what this looks like A phone number. This looks like an address. This looks like a first name. This looks like the last name and we tagged at to the catalog. And then anything that sensitive in nature will color coded red green, highly sensitive, sensitive. So that's our big differentiator. >>So is that like 100% visibility into the granularity of what is in this data? >>Yes, that's that's one of the issues is who were here ahead of us. We're finding a lot of folks are wanting to go to the cloud, but they can't get access to the data. They don't know their data. They don't understand it. On DSO where that bridge were a key strategic partner for aws Andi we're excited about the opportunity that's come about in the last six months with AWS because we're gonna be that key geese for migration to the cloud >>so that the data like I love the name iota, How But in your opinion, you know, you could hear so many different things about Data Lake Data's turning into data Swamp is there's still a lot of value and data lakes that customers just like you're saying before, you just don't know what they have. >>Well, what's interesting in this transition to one of other clients? But on I just want to make a note that way actually started in the relational world. So we're already a mess. We're across header genius environment so but Tahoe does have more to do with Lake. But at a time a few years back, everybody was just dumping data into the lake. They didn't understand what what was in there, and it's created in this era of privacy, a big issue, and Comcast had this problem. The large Terry Tate instance just dumping into the lake, not understanding data flows, how they're data's flowing, not understanding what's in the lake, sensitivity wise, and they want to start, you know they want enable b I. They want they want to start doing analytics, but you gotta understand and know the data, right? So for Comcast, we enable data ops for them automatically with our machine learning. So that was one of the use cases. And then they put the information and we integrated with Apache Atlas, and they have a large JW aws instance, and they're able to then better govern their data on S O N G. Digital. One other customer very complex use case around their data. 36 e. R. P s being migrated toe one virtually r p in the lake. And think about finance data How difficult that is to manage and understand. So we were a key piece in helping that migration happen in weeks rather than months. >>David, you mentioned cloud. Clearly weird. We're at a cloud show, but you mentioned knowing your data. One of the aspect of that cloud is that it moves fast, and it's a much bigger scale than what we've been used to. So I'm interested. Maybe, Eddie, you can. You can fill us in here as well about the use of a tool to help you know your data when we're not creating any less stated. There's just more and more data. So at this speed and this scale, how important is it that you actually have tooling to provide to the to the humans who have to go on that operate on all of this data >>building on what David was saying around the speed in the agility side, you know, now all our information I would know for North America home business is in AWS Hold on ns free bucket. We are already starting work with AWS connect on the call center side. Being able to stream that information through so we're getting to the point now is an organization where we're able to profile the data riel. Time on. Take that information Bolts predict what the customers going going to do is part that machine learning side. So we're starting to trial where we will interject into a call to say, Well, you know, a customer might be on your digital site trying to do a journey. You can see the challenges around data, and you could Then they go in with a chop using, say, the new AWS trap that's just coming through at the moment. So >>one of the things that opportunities I'm here. Sorry, Eddie is the opportunity to leverage the insights into the data to deliver more. You mentioned like customer words, are more personalized experience or a call center agent. Knowing this is the problem of this customer is experiencing this way. Have tried X, y and Z to resolve, or this customer is loyal to pay their bills on time. They should be eligible for some sort of reward program. I think consumers that I think amazon dot com has created us this demanding consumer that way expect you to know us. I expect you to serve us up things that you think we want. Talk to me about the opportunity that I owe Ty was is giving your business to be able to delight customers in ways that you probably couldn't even have predicted? >>Well, they touched on the tagging earlier, you know, survive on the stunned in the data that's coming through. Being able to use the data flow technology on dhe categorizing were able than telling kidding with wider estate. So David mentioned Comcast around 36 e. R. P. You know, we've just gone through the same in other parts of our organization. We're driving the additional level of value, turning away from being a manually labor intensive task. So I used to have 20 architects that daily goal through trying to build an understanding the relationship. I do not need that now. I just have a couple of people that are able to take the outputs and then be able to validate the information using the products. >>And I like that. There's just so much you mentioned customer 360. Example at a call centre. There's so much data ops that has to happen to make that happen on. That's the most difficult challenge to solve. And that's where we come in. And after you catalogue the data, I just want to touch on this. We enable search for the enterprise so you're now connected to 50 115 100 sources with our software. Now you've catalogued it. You profiled it. Now you can search Karen Kim Kim Smith, So your your your engineers, your architect, your data stewards influences your business analysts. This is folks can now search anything they want and find anything sensitive. Find that person find an invoice, and that helps enable. But you mentioned the customer >>360. But I can Also. What I'm hearing is, as it has the potential to enable a better relationship between I t in the business. >>Absolutely. It brings those both together because they're so siloed. In this day and age, your data siloed and your business is siloed in a different business unit. So this helps exactly collaborate crowdsource, bring it all together. One platform >>and how many you so 1700 applications. How many you mentioned the 36 or so air peace. What percentage? If you can guess who have you been able to reduce duplicate triplicate at center applications? And what are some of the overarching business benefits that direct energy is achieving? >>So incentive the direct senator, decide that we're just at the beginning about journey. We're about four months in what? We've already decommissioned 12. The applications I was starting to move out to the wider side in terms of benefits are oh, I probably around 300% of the moment >>in a 300% r A y in just a few months. >>Just now, you know you've got some of the basic savings around the story side. We're also getting large savings from some of the existing that support agreements that we have in place. David touched on data Rob's. I've been able to reduce the amount of people that are required to support the team. There is now a more common on the standing within the organization and have money to turn it more into a self care opportunity with the business operations by pushing the line from being a technical problem to a business challenge. And at the end of the day, they're the experts. They understand the data better than any IittIe fault that sat in a corner, right? So I'm >>gonna ask you one more question. What gave you the confidence that I Oh, Tahoe was the right solution for you >>purely down Thio three Open Soul site. So we come from a you know I've been using. I'll tell whole probably for about two years in parts of the organization. We were very early. Adopters are over technologies in the open source market, and it was just the ability thio on the proof of concept to be able to turn it around iTunes, where you'll go to a traditional vendor, which would take a few months large business cases. They need any of that. We were able to show results within 24 48 hours on now buys the confidence. And I'm sure David would take the challenge of being able to plug in some day. It says on to show you the day. >>Cool stuff, guys. Well, thank you for sharing with us what you guys are doing. And I have a Iot Tahoe keeping up data Lake Blue and the successes that you're cheating in such a short time, but direct energy. I appreciate your time, guys. Thank you. Excellent. Our pleasure. >>No, you'll day. >>Exactly know your data. My guests and my co host, Justin Warren. I'm Lisa Martin. I'm gonna go often. Learn my data. Now you've been watching the Cube and AWS reinvent 19. Thanks for watching
SUMMARY :
Brought to you by Amazon Web service Justin and I are joined by a couple of guests New to the Cube. P II discovery, and so over to you critical to your business. the products quickly for being able to connect to our existing sources to discover You got another day to say. That's in to build up a single view and offer but the problem death by Excel was in the financial service is we're But is the cataloging and the sensitive information one of the key things that makes it And we tell you what this looks like A phone number. in the last six months with AWS because we're gonna be that key geese for so that the data like I love the name iota, How But in does have more to do with Lake. So at this speed and this scale, how important is it that you actually have tooling into a call to say, Well, you know, a customer might be on your digital site Sorry, Eddie is the opportunity to leverage I just have a couple of people that are able to take the outputs and then be on. That's the most difficult challenge to solve. What I'm hearing is, as it has the potential to enable So this helps exactly How many you mentioned the 36 or so So incentive the direct senator, decide that we're just at the beginning about journey. reduce the amount of people that are required to support the team. Tahoe was the right solution for you It says on to show you the day. Well, thank you for sharing with us what you guys are doing. Exactly know your data.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David | PERSON | 0.99+ |
Justin Warren | PERSON | 0.99+ |
Comcast | ORGANIZATION | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Eddie | PERSON | 0.99+ |
David Meister | PERSON | 0.99+ |
Justin | PERSON | 0.99+ |
Eddie Edwards | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
2017 | DATE | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
David Piester | PERSON | 0.99+ |
100% | QUANTITY | 0.99+ |
2014 | DATE | 0.99+ |
Karen Kim Kim Smith | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
North America | LOCATION | 0.99+ |
three days | QUANTITY | 0.99+ |
20 architects | QUANTITY | 0.99+ |
Two sets | QUANTITY | 0.99+ |
300% | QUANTITY | 0.99+ |
4600 engineers | QUANTITY | 0.99+ |
1,000,000,000 | QUANTITY | 0.99+ |
Rob | PERSON | 0.99+ |
1700 applications | QUANTITY | 0.99+ |
One platform | QUANTITY | 0.99+ |
North America | LOCATION | 0.99+ |
Io-Tahoe | PERSON | 0.99+ |
30 | QUANTITY | 0.99+ |
Direct Energy | ORGANIZATION | 0.99+ |
Excel | TITLE | 0.99+ |
100,000 columns | QUANTITY | 0.98+ |
Wall Street | LOCATION | 0.98+ |
36 | QUANTITY | 0.98+ |
yesterday | DATE | 0.98+ |
Global Data Service | ORGANIZATION | 0.98+ |
iTunes | TITLE | 0.98+ |
amazon dot com | ORGANIZATION | 0.98+ |
one | QUANTITY | 0.98+ |
12 | QUANTITY | 0.98+ |
first name | QUANTITY | 0.98+ |
both | QUANTITY | 0.97+ |
Io Tahoe | ORGANIZATION | 0.97+ |
aws | ORGANIZATION | 0.97+ |
Day two | QUANTITY | 0.97+ |
14 future sets | QUANTITY | 0.97+ |
around 5000 employees | QUANTITY | 0.96+ |
two signature clients | QUANTITY | 0.96+ |
around 300% | QUANTITY | 0.96+ |
under 1700 applications | QUANTITY | 0.96+ |
One | QUANTITY | 0.96+ |
one more question | QUANTITY | 0.95+ |
about two years | QUANTITY | 0.95+ |
24 48 hours | QUANTITY | 0.95+ |
2019 | DATE | 0.95+ |
Amazon Web | ORGANIZATION | 0.94+ |
Thio | ORGANIZATION | 0.94+ |
Terry Tate | PERSON | 0.94+ |
a week | QUANTITY | 0.94+ |
One thing | QUANTITY | 0.94+ |
about four months | QUANTITY | 0.94+ |
Discovery | ORGANIZATION | 0.91+ |
nine | QUANTITY | 0.91+ |
last six months | DATE | 0.9+ |
Andi | PERSON | 0.89+ |
Iota | TITLE | 0.89+ |
Tahoe | ORGANIZATION | 0.89+ |
Data Lake Data | ORGANIZATION | 0.88+ |
DSO | ORGANIZATION | 0.88+ |
Wall Street, New York | LOCATION | 0.86+ |
Prem Jain, Pensando Systems | Welcome to the New Edge 2019
>>From New York city. It's the cube covering. Welcome to the new edge brought to you by systems. >>Okay, we'll come back. You're ready. Jeff Frick here with the cube. We're in downtown Manhattan at the top of Goldman Sachs, like 43 stories above the Hudson. It was a really beautiful view a couple hours ago, but the cloud has moved in and that's only appropriate cause it's cloud is a big theme of why we're here today. We're here for the Penn Zando event. It's called welcome to the new edge. They just come out of stealth mode after two and a half years, almost three years, raised a ton of money, got a really rockstar team and we're excited to have the CEO with us today to tell us a little bit about more what's going on. And that's prem Jane and again, the CEO of Penn Sandow prem. Great to see you. Nice to see you too. So everything we did running up to this event before we could get any of the news, we, we, we tried to figure out what was going on and all it kept coming up was NPLS, NPLS, NPLS, which I thought was a technology, which it is, but it's really about the team. Tell us a little bit about the team in which you guys have built prior and, and why you're such a, a well functioning and kind of forward thinking group of people. >>So I think the team is working together. Mario Luca, myself and Sony were working together since 1983 except for Sony. Sony joined us after the first company, which has crescendo, got acquired by Cisco in 1993 and since then four of us are working together. Uh, we have done many, uh, spinnings inside the Cisco and demo was the first one. Then we did, uh, uh, Nova systems, which was the second, then we did recently in CMA. Uh, and then after we left we thought we are going to retire, but we talked about it and we says, you know, there is still transitions happening in the industry and maybe we have few more years to go back to the, you know, industry and, and do something which is very challenging and, and uh, impacting. I think everything which we have done in the past is to create a impact in the industry and make that transition which is occurring very successful, >>which is really hard to do. And, and John Chambers who, who's on the board and spoke earlier today, you know, kind of talked about these 10 year cycles of significant change in our industry and you know, Clayton Christianson innovator's dilemma, it's really easy when you are successful at one of those to kind of sit on your laurels. In fact, it's really, really hard to kill yourself and go on to the next thing you guys have done this time and time and time again. Is there a unique chemistry in the way you guys look forward or you just, you just get bored with what you built and you want to build something new. I mean, what is some of the magic, because even John said, as soon as he heard that you were the team behind it, he was like, sign me up. I don't know what they're building but I don't really care cause I know these people can deliver. >>I think it's very good the, whenever you look at any startup, the most important thing which comes up as the team and you're seeing a lot of startup fails because the team didn't work together or they got their egos into this one. Since we are working for so long, they compliment each other. That's the one thing which is very important. Mario, Luca, myself, they come from engineering backgrounds. Sony comes from marketing, sales, uh, type of background and we all lady in terms of the brain, if you think about is the Mario behind the scene, Luca is really the execution machine and I'm, you can think like as a heart, okay. Putting this thing together. Uh, as a team, we work very complimentary with each other. It does not mean that we agree on everything, right? We disagree. We argue. We basically challenge each other. But one thing good about this particular team is that once we come to a conclusion, we just focus and execute. And team is also known to work with customers all the time. I mean, even when we started Penn Sando, we talked to many customers in the very beginning. They shape up our ideas, they shape up the directions, which is we are going and what transitions are occurring in the industries and all that. That's another thing which is we take customer very seriously in our thought process of building a product. >>So when you were thinking around sitting around the table, deciding whether you guys wanted to do it again, what were the challenges that you saw? What was the kind of the feedback loop that came in that, that started this? The, uh, the gym of the idea >>thing is also is that, uh, we had, we had developed so many different products as you saw today in the launch, eight or nine, uh, billion dollar product line and stuff like that. So we all have a very good system experience what is really needed, what transitions are occurring and stuff like that. When we started this one, we were not really sure what we wanted to do it, but in the last one when we did the, uh, NCMA, we realize that the enterprise thing, which we deliver the ACI solution for the enterprise, the realize that these services was the most complex way of incorporating into that particular architectures. So right from the beginning of interview realized that the, this particular thing is nobody has touched it, nobody thought about it out of the box thinking that how can you make it into a distributed fashion, which has also realized that cloud is going, everything distributed. >>They got away from the centralized appliances. So as the enterprise is now thinking of doing it cloud-like architectures and stuff like that. And the third thing which was really triggered us also, there was a company which is a new Poona which got acquired by Amazon in 2016 and we were looking at it what kinds of things they are doing and we said we can do much better architecturally and next generation, uh, architecture, which can really enable all the other cloud vendors. Some of them are our partners to make sure they can leverage that particular technologies and build the next generation cloud. And that's where this idea of new edge came in because we also saw that the new applications like IOT is five G's and artificial intelligence, machine learning, robotics or drones, you just name it intelligent devices, which is going to get connected. What is the best place to process them is at the edge or also at the backend with the application where the server is running these and that is another edge compute edge, right? >>In that particular sense. So our idea was to develop a product so that it can cover wide segment of the market, enterprise cloud providers, service borders, but focus very narrowly delivering these services into existing architectures. Also people who are building, building the next generation architectures. Right, so it's the distributed services platform or the distributed services architecture. So at its core for people that didn't make it today, what is it? It's basically is a distributed service platforms. The foundation of that is really our custom processor, which is we have designed is highly programmable. It's software defined so that all the protocols, which is typically people hardwired in our case is programmable. It's all programs which is we are writing the language which you selected as before and before extensions. The software stack is the major differentiated thing which is running on the top of this particular processor, which is we have designed in such a way that is hardware agnostics. >>The the, the capabilities which we have built is easily integrated into the existing environment. So if people already have cloud and they want to leverage our technologies, they can really deploy it in the enterprise. We are basically replacing lot of appliances, simplifying the architectures, making sure they can enable the service as they grow model, which is really amazing because right now they had to say firewall goes here, load balancer goes here, these a VPN devices goes there. In our case it's very simple. You put in every server of our technologies and our software stack and our Venice, which is our policy manager, which is sitting outside and it's based upon Kubernete X a architectures is basically a microservices, which is we are running and managing the life cycle of this particular product family and also providing the visibility and uh, uh, accountability in terms of exactly what is going on in that particular network. >>And it's all driven by intent-based architecture, which is policy driven, right? So software defined sitting on software defined Silicon. So you get the benefits of the Silicon, but it's also programmable Silicon, but it's still, you're sitting, you've got a software stack on top of that that manages that cloud and then the form factors as small as a Nick. Yes. So he can stick it in the HP HP server. Yeah. It specifically goes into any PCI slot in any server, uh, in the industry. Yes. It's amazing. Well, first incarnation, but, but, but, but, but that's a really simple implementation, right? Just to get radiation and easy to deploy. Right. And you guys are, you're yourself where involved in security that's involved in managing the storage. It's simple low power, which I thought was a pretty interesting attribute that you defined early on. Clearly thinking about edge and these distributed, uh, things all over the place. >>They're metal programmable. And then the other thing that was talked about a lot today was the observability. Yes. Um, why observability why was that so important? What were you hearing from customers that were really leading you down that path? Yeah, it's important. Uh, you know, surprisingly enough, uh, the visibility is one of the biggest challenge. Most of the data center faces today. A lot of people tried to do multiple different things, but they're never able to do it, uh, in, in the way we are doing it. One is that we don't run anything on the host. Some people have done it right on the train running the agent on the host. Some people have tried to run virtual machines on the those particular environment. In our case there's nothing which is running on the host site. It runs on our card and having end to end that visibility we can provide latency, very accurate latency to the, to the applications which is very important for these customers. >>Also, what is really going on there is the problem in the network. Isolation is another big thing. When something get lost they don't know where it got lost. We can provide that thing. Another important thing that you're doing, which is not being done in the industries. Everything which is we are doing is flow based means if I'm talking to you, there is a flow being set up between you and me and we are monitoring every flow and one of the advantages of our processor is we have four to eight gigabytes of memory, so we can keep these States, have these flows inside, and that gives a tremendous advantage for us to do lots of things, which as you can imagine going forward, we will be delivering it such as, for example, behavior of these flows and things from this point of view, once you understand the behavior of the flow, you can also provide lot of security features because if I'm not talking to you and suddenly I start talking to you and I know that there's something went wrong, right, right. >>And they should be able to look at the behavior analysis and should be able to tell exactly what's going on. You mean we want a real time snapshot of what's really happening instead of a instead of a sample of something that happened a little. No, absolutely. You're absolutely connected. Yeah. Yeah. Um, that's terrific. So you put together to accompany and you immediately went out and talked to a whole bunch of customers. I was amazed at the number of customers and partners that you had here at the launch. Um, was that for validation? Were you testing hypotheses or, or were there some things that the customers were telling you about that maybe you weren't aware of or maybe didn't get the right priority? I think it's all of the above. What you mentioned our, it's in our DNA by the way. You know, we don't design products, we don't design things without talking to customers. >>Validation is very important that we are on the right track because you may try to solve the customer problem, which is not today's problem. Maybe future's problem. Our idea was that then you can develop the product it was set on the shelf. We don't want to do that. We wanted to make sure that, that this is the hard problem customer is facing today. At the same time looking at it, what futuristic in their architecture is understanding the customers, how, what are they doing today, how they're deploying it. The use cases are understanding those very well and making sure that we are designing. Because when we design a seeker, when your designer processor, you know, you cannot design for one year, it has to be a longterm, right? And you need to make sure that we understand the current problems, we understand the future problems and design that in pretty much your spark and you've been in this space forever. >>You're at Cisco before. And so just love to get your take on exponential growth. You know, such an interesting concept that people have a really hard time grasping exponential growth and we're seeing it clearly with data and data flows and ultimately everything's got to go through the network. I mean, when you, when you think back with a little bit of perspective at the incredible increase in the data flow and the amount of data is being stored and the distribution of these, um, applications now out to the edge and store and compute and take action at the edge, you know, what do you think about, how do you, how do you kind of stay on top of that as somebody who kind of sees the feature relatively effectively, how do you try to stay on top of exponential curves? As you know, very valuable data is very important for anybody in any business. >>Whether it's financial, whether it's healthcare, whether it's, and it's becoming even more and more important because of machine learning, artificial intelligence, which is coming in to really process this particular data and predict certain things which is going to happen, right? We wanted to be close to the data and the closest place to be data is where the application is running. That's one place clears closest to the data at the edge is where data is coming in from the IOT devices, from the 5g devices, from the, you know, you know all kinds of appliances which is being classified under IOT devices. We wanted to be, make sure that we are close to the data, doesn't matter where you deploy and we want to be agnostic. Actually our technologies and architectures designed that this boundary is between North, South, East, West is going to go away in future cloud. >>A lot of things which is being done in the backend will be become at the edge like we talked about before. So we are really a journey which is just starting in this particular detectors and you're going to see a lot more innovations coming from us continuously in this particular directions. And again, based upon the feedback which you're going to get from cloud customers with enterprise customers, but they were partners and other system ecosystem partners, which is going to give us a lot of feedback. Great. Well again, thanks for uh, for having us out and congratulations to uh, to you and the team. It must be really fun to pull the covers off. absolutely. It is very historical day for us. This is something we were waiting for two years and nine months to see this particular date, to have our customers come on the stage and talk about our technologies and why they think it's very important. Thank you very much for giving me this opportunity to talk to you. Thank you. Alright, thanks prem. Thanks. He's prem. I'm Jeff. You're watching the cube where it depends. Sandow launch at the top of Goldman Sachs in downtown Manhattan. Thanks for watching. We'll see you next time.
SUMMARY :
brought to you by systems. Tell us a little bit about the team in which you guys have built prior and, in the industry and make that transition which is occurring very successful, and go on to the next thing you guys have done this time and time and time again. That's the one thing which is very important. thing is also is that, uh, we had, we had developed so many different products as you saw today And the third thing which was really triggered us also, It's all programs which is we are writing the language which you the service as they grow model, which is really amazing because right now they had to say It's simple low power, which I thought was a pretty interesting attribute that you defined to the applications which is very important for these customers. advantage for us to do lots of things, which as you can imagine I was amazed at the number of customers and partners that you had here Validation is very important that we are on the right track because you may try to solve the customer and take action at the edge, you know, what do you think about, We wanted to be, make sure that we are close to the data, doesn't matter where you deploy and we want to be agnostic. So we are really a journey which is just starting in this particular detectors
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Sony | ORGANIZATION | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
1993 | DATE | 0.99+ |
John | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Luca | PERSON | 0.99+ |
2016 | DATE | 0.99+ |
John Chambers | PERSON | 0.99+ |
Jeff | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
New York | LOCATION | 0.99+ |
one year | QUANTITY | 0.99+ |
Mario | PERSON | 0.99+ |
Prem Jain | PERSON | 0.99+ |
HP | ORGANIZATION | 0.99+ |
1983 | DATE | 0.99+ |
eight | QUANTITY | 0.99+ |
two years | QUANTITY | 0.99+ |
Goldman Sachs | ORGANIZATION | 0.99+ |
43 stories | QUANTITY | 0.99+ |
Mario Luca | PERSON | 0.99+ |
nine | QUANTITY | 0.99+ |
10 year | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
Penn Sandow | ORGANIZATION | 0.99+ |
second | QUANTITY | 0.99+ |
four | QUANTITY | 0.99+ |
third thing | QUANTITY | 0.99+ |
Clayton Christianson | PERSON | 0.98+ |
Pensando Systems | ORGANIZATION | 0.98+ |
first company | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
first incarnation | QUANTITY | 0.98+ |
eight gigabytes | QUANTITY | 0.98+ |
Penn Sando | ORGANIZATION | 0.97+ |
Hudson | LOCATION | 0.97+ |
nine months | QUANTITY | 0.97+ |
One | QUANTITY | 0.97+ |
NCMA | ORGANIZATION | 0.96+ |
Poona | ORGANIZATION | 0.96+ |
billion dollar | QUANTITY | 0.93+ |
2019 | DATE | 0.93+ |
almost three years | QUANTITY | 0.92+ |
Penn Zando | EVENT | 0.9+ |
prem Jane | PERSON | 0.9+ |
IOT | TITLE | 0.87+ |
Silicon | ORGANIZATION | 0.84+ |
first one | QUANTITY | 0.82+ |
Kubernete X | TITLE | 0.78+ |
couple hours ago | DATE | 0.77+ |
NPLS | ORGANIZATION | 0.77+ |
one thing | QUANTITY | 0.75+ |
ACI | ORGANIZATION | 0.74+ |
two and a half years | QUANTITY | 0.7+ |
downtown Manhattan | LOCATION | 0.69+ |
ton of money | QUANTITY | 0.68+ |
CMA | ORGANIZATION | 0.64+ |
Nick | PERSON | 0.56+ |
Sandow | PERSON | 0.54+ |
years | QUANTITY | 0.54+ |
Nova | ORGANIZATION | 0.53+ |
Venice | ORGANIZATION | 0.41+ |
five G | TITLE | 0.34+ |
Edge | ORGANIZATION | 0.31+ |
Raj Talluri, Micron & Keith Kressin, Qualcomm | Micron Insight'18
live from San Francisco it's the cube covering micron inside 2018 brought to you by micron welcome back to San Francisco Bay everybody this is the cube the leader in live tech coverage my name is Dave Valentin I'm here with my co-host David Floria we're covering micron insight 2018 really bring it together memory storage and artificial intelligence talking about AI for good talking about changing the way in which we work new workloads Raj to Lori is here he's the senior vice president and general manager of microns a booming mobile business unit rise I think it's the fastest growing business unit at micron at least of XY's and Keith crescent is here is the senior vice a senior vice president at Qualcomm Keith welcome thank gentlemen thanks for coming on the cube okay thank you so right let's let's start with you what are the big trends that you see that are driving that at 60% growth rate in your business yeah I mean we are finding now that you know mobile phones and use of memory in mobile phones and this is DRAM and also use of storage in mobile phones this is where we actually you know like flash both are growing inside a mobile phone you know we've seen people launch you know four and six gigabyte phones and now we have our customers talking about 8 and 10 and 12 gigabyte phones in the future and one of the big reasons is the applications you know a lot of machine learning and AI applications from the phones and those are driving the need for a lot of increased both storage and memory so we talked about what's changing in your business over the last several years I mean mobile obviously exploded onto the scene but now people are talking about AI and mobile and and and just increase use cases and applications so what's going on from your perspective yeah I think my handset perspective there's been some visual changes right the screens got a little bigger the bezels get smaller phones get a little thinner and so you see some of the visual cues but really the excitement of what's going on underneath the visual cues so the amount of AI processing is accelerating at a rapid pace a lot of advanced cameras you know moving from two three four and now their phones with five cameras cameras to recognize depth perception there's a voice recognition so there's a lot of AI processing and a lot of capability getting into the phone for a variety of applications okay so voice recognition that makes sense you'd use AI for that but you're talking about AI in in visual and in in the handset talk more about that explain how that all works yeah so so actually I would argue that today imaging is probably the primary application of AI so cameras used to be just capturing pixels but now it's about much more than capturing pixels it's about understanding what those pixels are so are they recognizing objects or food or something else or is it facial recognition for things like payments and biometrics and so the cameras now are much more intelligent and with multiple cameras you're adding depth information so then you start to get to much higher levels of realism for things like avatar and gaming and other areas where the camera is capturing and also perceiving so not a hot dog for you fans of the show Silicon Valley so but Raj what does this all mean for the the memory and storage requirements yeah I mean eyes keep mentioned I think you know the mobile phone you know with the process from Qualcomm and and other processor vendors has really gotten to have a lot more camera applications and a lot more AI applications now there's a there's a difference when you actually drive applications that need AI and machine learning versus other applications and the difference is that the compute paradigm in AI and ml is different in the sense that these are like complex neural networks that need a load of lot of data very close to the processor to achieve the result so as more AI applications come in we are actually finding that the customers which are Qualcomm customers and our customers are asking for more processing from the airside but they're also asking for more higher speeds higher density memory to kite to couple tightly with the process so they can realize these AI applications for the consumers and also storage because sometimes you want to store a lot of the images and videos on the card so both storage and memory are increasing as applications come in but I'd like to ask about the gaming side of things and the ante AR that seems to me that is is starting to improve to a level which is frightening linear reality what do you have to do to get it to that stage where you can have true VR and have games for example which exploit that sure so maybe first I'll talk about gaming specifically gaming obviously continues to grow a lot of money in gaming gaming tournaments and so forth the gaming certainly is getting more realistic with better graphics and so forth better displays multiplayer gaming very hot right multiplayer gaming requires you know very fast connections very low latency connections to another source so play multiple players can play at the same time also many times for games you'll have a play with partners maybe you're on a team of five but now in coming soon maybe that team of five you don't need to find that fifth person or that fourth person maybe there's an AI engine that's running similar to the human capability and you're actually playing with a simulated player right from teams so there's in that require opens up a whole new area of processing for the games and then I think for AR and BR AR is a little further out than VR err requires some more advancements with respect to optics and so forth VR is taking you know high-end displays and AI and graphics kind of packaging it all into one to really change the paradigm of how you interact with the computer how does 5g change things is it is it as much of a game changer as people think or is there just so much data that it sort of allows us to keep pace I wonder if you can talk about 5g yeah so so you know every ten years or so there's a G transition 3G and 99 4G in 2009 now 5g in 2019 so it's not a ten-year cadence and every time when you have a G transition you couple that with a transition in computing and it changes the paradigm so what's gonna happen is 5g is gonna bring a lot more capacity a lot lower latency at the same time AI is coming in and that together is going to create a pretty powerful platform for applications for the future and then of course there's just so much more data now how do you guys keep because the you mentioned you know you've been talking to the to the street and you mentioned this morning that the the rate of bit density that is is moderating so how do you guys keep up where are your investments that allow you to keep pace yeah I mean we have a so just maybe a little bit of comment on 5g I think as the bandwidth to the device gets faster and faster there's more and more data that comes in that you can imagine for example one of the things people out of people like to do you know is to you know download content if you look at Netflix if you look at Amazon Prime if you look at even DirecTV and I have all of those you can actually download the content now and watch them offline so as it happens and that content gets to be 4k and an even higher frame rates the amount of storage that's needed to download that is getting more and more like you know you know my wife upgraded her phone the other day and the first thing she said is I want an entire Netflix season on my phone when I'm in the gym so so you know there's simple things like that I've changed a lot you know that's one of the reasons why the storage is getting so much now when you go to 5g and the download speed gets higher you can download like a 4k video really quickly now you got to put it somewhere after you downloaded so that's actually driving the need for this so before people wouldn't like download a 4k video because where would you put it so as we increase storage that kind of stuff comes really fast because you couldn't you know take a long time to download before so as the bandwidth gets higher the storage requirements the memory requirements are getting higher now what we are doing on that front is we're investing a lot you know as Sanjay and Scott talked earlier both in our fab capacity is both in our technology transitions we have a lot of new interesting technologies like new emerging memories they're actually like 3d crosspoint we talked about that kind of blur the line between storage and memory so there's a lot of new interesting technologies that will actually take advantage of that super exciting time so going back to the image processing side of that one of the trends it seems to me is that the processing is going further and further to the edge itself and going inside the camera itself do you talk a little bit about that and what it's going to take to to put that that your memory technology or bandwidth right inside the camera itself sure so so there's no doubt that you want to maximize the capability on the edge as a first step and then you want to reduce the late as much as possible to the cloud as a second step so on the edge you know if you had something for example if I'm taking a picture of you and I want face recognition I don't want to take every frame and send it up to the clouds I'm gonna waste bandwidth so on I want that capability on device and that's true for a variety of different applications you want to maximize the capability on device and then focus on the fast connection so the cloud and the device from a latency and bandwidth perspective are much tightly more tightly coupled you know you think about the evolution of computing you know obviously everything was centralized and then you know pcs the world was about pcs back then it was kind of the the centralization with it was a bit blip on the screen compared to the pcs was everything remember that and then of course mobile drove cloud through the roof and now with the edge and cloud and and mobile you're seeing just this ubiquitous capability that senses now you bring in AI you bring in machine intelligence it what do you guys envision for the for the next 10 years in terms of what the world looks like centralized decentralized distributed intelligent I mean it's just mind-boggling what's your vision well I think if you look at client devices client devices certainly generate a lot of data maybe we get a little bit of data from a sensor and a bridge but maybe we'll get a lot of data from the car traveling across that bridge and what you need to do is you need to make sense of that data locally and then transmit it back to the cloud so you want the cloud to have the most useful data or sorted data right data that can then improve you know automated driving or reduce traffic accidents and so forth but you don't want all the data sent there so what's gonna happen is on the edge there's literally you know a device is going from smartphones where there's about one and a half billion a year to billions even trillions of IOT connected devices any device that has a computing element also is can have a connectivity element also is going to have an AI element so it's gonna be a much more connected world as opposed to just connected people yeah I mean I think kids keep explained it very well you know you know if you step back a little bit I think that the history of technology and evolution has been very similar right in industry for a while but we all remember the times when we said we just did month one mainframe and everyone needs dumb terminals right then we went on to say hey you know what I think distributed computing with everyone having a pcs that I think you do now we are back to maybe we should have everything in the cloud and the edge devices so I actually think in a world goes cyclical and the more you do at the edge the more it drives the need for the cloud and we call it the virtuous cycle and I think the best way to think about it is you want the HD devices to send information not data which means they need to be for data needs to be processed with memory and compute to become information and then you send the information to the edge yeah I guess my point was that you know I've been around a while too and you're going to see the pendulum swing I feel like the pendulum is not swinging anymore it's just exploded inside it's really an exciting time in our industry guys thanks very much for coming thank you appreciate thank you all right keep right there everybody we'll be back at micron insight from the Embarcadero you're watching the cube right back [Music]
**Summary and Sentiment Analysis are not been shown because of improper transcript**
ENTITIES
Entity | Category | Confidence |
---|---|---|
David Floria | PERSON | 0.99+ |
Raj Talluri | PERSON | 0.99+ |
2009 | DATE | 0.99+ |
2019 | DATE | 0.99+ |
60% | QUANTITY | 0.99+ |
Dave Valentin | PERSON | 0.99+ |
billions | QUANTITY | 0.99+ |
ten-year | QUANTITY | 0.99+ |
Keith Kressin | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
trillions | QUANTITY | 0.99+ |
Qualcomm | ORGANIZATION | 0.99+ |
first step | QUANTITY | 0.99+ |
both | QUANTITY | 0.98+ |
five cameras | QUANTITY | 0.98+ |
10 | QUANTITY | 0.98+ |
Lori | PERSON | 0.98+ |
Micron | ORGANIZATION | 0.98+ |
second step | QUANTITY | 0.98+ |
Keith | PERSON | 0.98+ |
first thing | QUANTITY | 0.98+ |
about one and a half billion a year | QUANTITY | 0.97+ |
fourth person | QUANTITY | 0.97+ |
Netflix | ORGANIZATION | 0.97+ |
2018 | DATE | 0.97+ |
San Francisco Bay | LOCATION | 0.97+ |
today | DATE | 0.96+ |
Scott | PERSON | 0.96+ |
one | QUANTITY | 0.96+ |
Amazon | ORGANIZATION | 0.95+ |
fifth person | QUANTITY | 0.94+ |
Prime | COMMERCIAL_ITEM | 0.92+ |
first | QUANTITY | 0.92+ |
Sanjay | PERSON | 0.91+ |
micron insight | ORGANIZATION | 0.9+ |
one of the reasons | QUANTITY | 0.89+ |
two | QUANTITY | 0.88+ |
5g | QUANTITY | 0.87+ |
DirecTV | ORGANIZATION | 0.86+ |
lot of money | QUANTITY | 0.86+ |
8 | QUANTITY | 0.85+ |
five | QUANTITY | 0.84+ |
every ten years | QUANTITY | 0.84+ |
next 10 years | DATE | 0.83+ |
12 gigabyte | QUANTITY | 0.81+ |
microns | ORGANIZATION | 0.8+ |
4k | QUANTITY | 0.78+ |
four | QUANTITY | 0.76+ |
Embarcadero | LOCATION | 0.75+ |
lot | QUANTITY | 0.75+ |
this morning | DATE | 0.74+ |
lot of data | QUANTITY | 0.71+ |
senior vice president | PERSON | 0.71+ |
micron | ORGANIZATION | 0.71+ |
G transition 3G | COMMERCIAL_ITEM | 0.7+ |
a lot of new interesting technologies | QUANTITY | 0.7+ |
IOT | QUANTITY | 0.68+ |
six gigabyte | QUANTITY | 0.67+ |
Raj | PERSON | 0.67+ |
lot more camera | QUANTITY | 0.66+ |
5g | ORGANIZATION | 0.66+ |
Keith crescent | PERSON | 0.65+ |
G transition | COMMERCIAL_ITEM | 0.65+ |
lot of | QUANTITY | 0.65+ |
last several years | DATE | 0.65+ |
about | QUANTITY | 0.58+ |
trends | QUANTITY | 0.55+ |
a lot more | QUANTITY | 0.54+ |
Micron Insight'18 | ORGANIZATION | 0.53+ |
frame | QUANTITY | 0.52+ |
team of | QUANTITY | 0.52+ |
XY | ORGANIZATION | 0.5+ |
three | QUANTITY | 0.5+ |
Silicon Valley | LOCATION | 0.5+ |
president | PERSON | 0.5+ |
99 | COMMERCIAL_ITEM | 0.43+ |
5g | TITLE | 0.41+ |
micron | COMMERCIAL_ITEM | 0.34+ |
VMworld Day 1 General Session | VMworld 2018
For Las Vegas, it's the cube covering vm world 2018, brought to you by vm ware and its ecosystem partners. Ladies and gentlemen, Vm ware would like to thank it's global diamond sponsors and it's platinum sponsors for vm world 2018 with over 125,000 members globally. The vm ware User Group connects via vmware customers, partners and employees to vm ware, information resources, knowledge sharing, and networking. To learn more, visit the [inaudible] booth in the solutions exchange or the hemoglobin gene vm village become a part of the community today. This presentation includes forward looking statements that are subject to risks and uncertainties. Actual results may differ materially as a result of various risk factors including those described in the 10 k's 10 q's and k's vm ware. Files with the SEC. Ladies and Gentlemen, please welcome Pat Gelsinger. Welcome to vm world. Good morning. Let's try that again. Good morning and I'll just say it is great to be here with you today. I'm excited about the sixth year of being CEO. When it was on this stage six years ago were Paul Maritz handed me the clicker and that's the last he was seen. We have 20,000 plus here on site in Vegas and uh, you know, on behalf of everyone at Vm ware, you know, we're just thrilled that you would be with us and it's a joy and a thrill to be able to lead such a community. We have a lot to share with you today and we really think about it as a community. You know, it's my 23,000 plus employees, the souls that I'm responsible for, but it's our partners, the thousands and we kicked off our partner day yesterday, but most importantly, the vm ware community is centered on you. You know, we're very aware of this event would be nothing without you and our community and the role that we play at vm wares to build these cool breakthrough innovations that enable you to do incredible things. You're the ones who take our stuff and do amazing things. You altogether. We have truly changed the world over the last two decades and it is two decades. You know, it's our anniversary in 1998, the five people that started a vm ware, right. You know, it was, it was exactly 20 years ago and we're just thrilled and I was thinking about this over the weekend and it struck me, you know, anniversary, that's like old people, you know, we're here, we're having our birthday and it's a party, right? We can't have a drink yet, but next year. Yeah. We're 20 years old. Right. We can do that now. And I'll just say the culture of this community is something that truly is amazing and in my 38 years, 38 years in tech, that sort of sounds like I'm getting old or something, but the passion, the loyalty, almost a cult like behavior that we see in this team of people to us is simply thrilling. And you know, we put together a little video to sort of summarize the 20 years and some of that history and some of the unique and quirky aspects of our culture. Let's watch that now. We knew we had something unique and then we demonstrated that what was unique was also some reasons that we love vm ware, you know, like the community out there. So great. The technology I love it. Ware is solid and much needed. Literally. I do love Vmr. It's awesome. Super Awesome. Pardon? There's always someone that wants to listen and learn from us and we've learned so much from them as well. And we reached out to vm ware to help us start building. What's that future world look like? Since we're doing really cutting edge stuff, there's really no better people to call and Bmr has been known for continuous innovation. There's no better way to learn how to do new things in it than being with a company that's at the forefront of technology. What do you think? Don't you love that commitment? Hey Ashley, you know, but in the prep sessions for this, I thought, boy, what can I do to take my commitment to the next level? And uh, so, uh, you know, coming in a couple days early, I went to down the street to bad ass tattoo. So it's time for all of us to take our commitment up level and sometimes what happens in Vegas, you take home. Thank you. Vm Ware has had this unique role in the industry over these 20 years, you know, and for that we've seen just incredible things that have happened over this period of time and it's truly extraordinary what we've accomplished together. And you know, as we think back, you know, what vm ware has uniquely been able to do is I'll say bridge across know and we've seen time and again that we see these areas of innovation emerging and rapidly move forward. But then as they become utilized by our customers, they create this natural tension of what business wants us flexibility to use across these silos of innovation. And from the start of our history, we have collectively had this uncanny ability to bridge across these cycles of innovation. You know, an act one was clearly the server generation. You know, it may seem a little bit, uh, ancient memory now, but you remember you used to walk into your data center and it looked like the loove the museum of it passed right? You know, and you had your old p series and your z series in your sparks and your pas and your x86 cluster and Yo, it had to decide, well, which architecture or am I going to deploy and run this on? And we bridged across and that was the magic of Esx. You don't want to just changed the industry when that occurred. And I sort of called the early days of Esx and vsphere. It was like the intelligence test. If you weren't using it, you fail because Yup. Servers, 10 servers become one months, become minutes. I still have people today who come up to me and they reflect on their first experience of vsphere or be motion and it was like a holy moment in their life and in their careers. Amazing and act to the Byo d, You know, can we bridge across these devices and users wanted to be able to come in and say, I have my device and I'm productive on it. I don't want to be forced to use the corporate standard. And maybe more than anything was the power of the iphone that was introduced, the two, seven, and suddenly every employee said this is exciting and compelling. I want to use it so I can be more productive when I'm here. Bye. Jody was the rage and again it was a tough challenge and once again vm ware helped to bridge across the surmountable challenge. And clearly our workspace one community today is clearly bridging across these silos and not just about managing devices but truly enabling employee engagement and productivity. Maybe act three was the network and you know, we think about the network, you know, for 30 years we were bound to this physical view of what the network would be an in that network. We are bound to specific protocols. We had to wait months for network upgrades and firewall rules. Once every two weeks we'd upgrade them. If you had a new application that needed a firewall rule, sorry, you know, come back next month we'll put, you know, deep frustration among developers and ceos. Everyone was ready to break the chains. And that's exactly what we did. An NSX and Nice Sierra. The day we acquired it, Cisco stock drops and the industry realizes the networking has changed in a fundamental way. It will never be the same again. Maybe act for was this idea of cloud migration. And if we were here three years ago, it was student body, right to the public cloud. Everything is going there. And I remember I was meeting with a cio of federal cio and he comes up to me and he says, I tried for the last two years to replatform my 200 applications I got to done, you know, and all of a sudden that was this. How do I do cloud migration and the effective and powerful way. Once again, we bridged across, we brought these two worlds together and eliminated this, uh, you know, this gap between private and public cloud. And we'll talk a lot more about that today. You know, maybe our next act is what we'll call the multicloud era. You know, because today in a recent survey by Deloitte said that the average business today is using eight public clouds and expected to become 10 plus public clouds. And you know, as you're managing different tools, different teams, different architectures, those solution, how do you, again bridge across, and this is what we will do in the multicloud era, we will help our community to bridge across and take advantage of these powerful cycles of innovation that are going on, but be able to use them across a consistent infrastructure and operational environment. And we'll have a lot more to talk about on this topic today. You know, and maybe the last item to bridge across maybe the most important, you know, people who are profit. You know, too often we think about this as an either or question. And as a business leader, I'm are worried about the people or the And Milton Friedman probably set us up for this issue decades ago when he said, planet, right? the sole purpose of a business is to make profits. You want to create a multi-decade dilemma, right? For business leaders, could I have both people and profits? Could I do well and do good? And particularly for technology, I think we don't have a choice to think about these separately. We are permeating every aspect of business. And Society, we have the responsibility to do both and have all the things that vm ware has accomplished. I think this might be the one that I'm most proud of over, you know, w we have demonstrated by vsphere and the hypervisor alone that we have saved over 540 million tons of co two emissions. That is what you have done. Can you believe that? Five hundred 40 million tons is enough to have 68 percent of all households for a year. Wow. Thank you for what you have done. Thank you. Or another translation of that. Is that safe enough to drive a trillion miles and the average car or you could go to and from Jupiter just in case that was in your itinerary a thousand times. Right? He was just incredible. What we have done and as a result of that, and I'll say we were thrilled to accept this recognition on behalf of you and what you have done. You know, vm were recognized as number 17 in the fortune. Change the world list last week. And we really view it as accepting this honor on behalf of what you have done with our products and technology tech as a force for good. We believe that fundamentally that is our opportunity, if not our obligation, you know, fundamentally tech is neutral, you know, we together must shape it for good. You know, the printing press by Gutenberg in 1440, right? It was used to create mass education and learning materials also can be used for extremist propaganda. The technology itself is neutral. Our ecosystem has a critical role to play in shaping technology as a force for good. You know, and as we think about that tomorrow, we'll have a opportunity to have a very special guest and I really encourage you to be here, be on time tomorrow morning on the stage and you know, Sanjay's a session, we'll have Malala, Nobel Peace Prize winner and fourth will be a bit of extra security as you come in and you understand that. And I just encourage you not to be late because we see this tech being a force for good in everything that we do at vm ware. And I hope you'll enjoy, I'm quite looking forward to the session tomorrow. Now as we think about the future. I like to put it in this context, the superpowers of tech know and you know, 38 years in the industry, you know, I am so excited because I think everything that we've done over the last four decades is creating a foundation that allows us to do more and go faster together. We're unlocking game, changing opportunities that have not been available to any people in the history of humanity. And we have these opportunities now and I, and I think about these four cloud, you have unimaginable scale. You'll literally with your Amex card, you can go rent, you know, 10,000 cores for $100 per hour. Or if you have Michael's am ex card, we can rent a million cores for $10,000 an hour. Thanks Michael. But we also know that we're in many ways just getting started and we have tremendous issues to bridge across and compatible clouds, mobile unprecedented scale. Literally, your application can reach half the humans on the planet today. But we also know that five percent, the lowest five percent of humanity or the other half of humanity, they're still in the lower income brackets, less than five percent penetrated. And we know that we have customer examples that are using mobile phones to raise impoverished farmers in Africa, out of poverty just by having a smart phone with proper crop, the information field and whether a guidance that one tool alone lifting them out of poverty. Ai knows, you know, I really love the topic of ai in 1986. I'm the chief architect of the 80 46. Some of you remember what that was. Yeah, I, you know, you're, you're my folk, right? Right. And for those of you who don't, it was a real important chip at the time. And my marketing manager comes running into my office and he says, Pat, pat, we must make the 46 a great ai chip. This is 1986. What happened? Nothing an AI is today, a 30 year overnight success because the algorithms, the data have gotten so much bigger that we can produce results, that we can bring intelligence to everything. And we're seeing dramatic breakthroughs in areas like healthcare, radiology, you know, new drugs, diagnosis tools, and designer treatments. We're just scratching the surface, but ai has so many gaps, yet we don't even in many cases know why it works. Right? And we'll call that explainable ai and edge and Iot. We're connecting the physical and the digital worlds was never before possible. We're bridging technology into every dimension of human progress. And today we're largely hooking up things, right? We have so much to do yet to make them intelligent. Network secured, automated, the patch, bringing world class it to Iot, but it's not just that these are super powers. We really see that each and each one of them is a super power in and have their own right, but they're making each other more powerful as well. Cloud enables mobile conductivity. Mobile creates more data, more data makes the AI better. Ai Enables more edge use cases and more edge requires more cloud to store the data and do the computing right? They're reinforcing each other. And with that, we know that we are speeding up and these superpowers are reshaping every aspect of society from healthcare to education, the transportation, financial institutions. This is how it all comes together. Now, just a simple example, how many of you have ever worn a hardhat? Yeah, Yo. Pretty boring thing. And it has one purpose, right? You know, keep things from smacking me in the here's the modern hardhat. It's a complete heads up display with ar head. Well, vr capabilities that give the worker safety or workers or factory workers or supply people the ability to see through walls to understand what's going on inside of the equipment. I always wondered when I was a kid to have x Ray Vision, you know, some of my thoughts weren't good about why I wanted it, but you know, I wanted to. Well now you can have it, you know, but imagine in this environment, the complex application that sits behind it. You know, you're accessing maybe 50 year old building plants, right? You're accessing HVAC systems, but modern ar and vr capabilities and new containerized displays. You'll think about that application. You know, John Gage famously said the network is the computer pat today says the application is now a network and pretty typically a complicated one, you know, and this is the vm ware vision is to make that kind of environment realizable in every aspect of our business and community and we simply have been on this journey, any device, any application, any cloud with intrinsic security. And this vision has been consistent for those of you who have been joining us for a number of years. You've seen this picture, but it's been slowly evolving as we've worked in piece by piece to refine and extend this vision, you know, and for it, we're going to walk through and use this as the compass for our discussion today as we walk through our conversation. And you know, we're going to start by a focus on any cloud. And as we think about this cloud topic, you know, we see it as a multicloud world hybrid cloud, public cloud, but increasingly seeing edge and telco becoming clouds in and have their own right. And we're not gonna spend time on it today, but this area of Telco to the is an enormous opportunity for us in our community. You know, data centers and cloud today are over 80 percent virtualized. The Telco network is less than 10 percent virtualized. Wow. An industry that's almost as big as our industry entirely unvirtualized, although the technologies we've created here can be applied over here and Telco and we have an enormous buildout coming with five g and environments emerging. What an opportunity for us, a virgin market right next to us and we're getting some early mega winds in this area using the technologies that you have helped us cure rate than the So we're quite excited about this topic area as well. market. So let's look at this full view of the multicloud. Any cloud journey. And we see that businesses are on a multicloud journey, you know, and today we see this fundamentally in these two paths, a hybrid cloud and a public cloud. And these paths are complimentary and coexisting, but today, each is being driven by unique requirements and unique teams. Largely the hybrid cloud is being driven by it. And operations, the public cloud being driven more by developers and line of business requirements and as some multicloud environment. So how do we deliver upon that and for that, let's start by digging in on the hybrid cloud aspect of this and as we think about the hybrid cloud, we've been talking about this subject for a number of years and I want to give a very specific and crisp definition. You're the hybrid cloud is the public cloud and the private cloud cooperating with consistent infrastructure and consistent operations simply put seamless path to and from the cloud that my workloads don't care if it's here or there. I'm able to run them in a agile, scalable, flexible, efficient manner across those two environments, whether it's my data center or someone else's, I can bring them together to make that work is the magic of the Vm ware Cloud Foundation. The vm ware Cloud Foundation brings together computer vsphere and the core of why we are here, but combines with that networking storage delivered through a layer of management and automation. The rule of the cloud is ruthlessly automate everything. We laid out this vision of the software defined data center seven years ago and we've been steadfastly working on this vision and vm ware. Cloud Foundation provides this consistent infrastructure and operations with integrated lifecycle management automation. Patching the m ware cloud foundation is the simplest path to the hybrid cloud and the fastest way to get vm ware cloud foundation is hyperconverged infrastructure, you know, and with this we've combined integrated then validated hardware and as a building block inside of this we have validated hardware, the v Sand ready environments. We have integrated appliances and cloud delivered infrastructure, three ways that we deliver that integrate integrated hyperconverged infrastructure solution. And we have by far the broadest ecosystem of partners to do it. A broad set of the sand ready nodes from essentially everybody in the industry. Secondly, we have integrated appliances, the extract of vxrail that we have co engineered with our partners at Dell technology and today in fact Dell is releasing the power edge servers, a major step in blade servers that again are going to be powering vxrail and vxrack systems and we deliver hyperconverged infrastructure through a broader set of Vm ware cloud partners as well. At the heart of the hyperconverged infrastructure is v San and simply put, you know, be San has been the engine that's just been moving rapidly to take over the entire integration of compute and storage and expand to more and more areas. We have incredible momentum over 15,000 customers for v San Today and for those of you who joined us, we say thank you for what you have done with this product today. Really amazing you with 50 percent of the global 2000 using it know vm ware. V San Vxrail are clearly becoming the standard for how hyperconverge is done in the industry. Our cloud partner programs over 500 cloud partners are using ulv sand in their solution, you know, and finally the largest in Hci software revenue. Simply put the sand is the software defined storage technology of choice for the industry and we're seeing that customers are putting this to work in amazing ways. Vm Ware and Dell technologies believe in tech as a force for good and that it can have a major impact on the quality of life for every human on the planet and particularly for the most underdeveloped parts of the world. Those that live on less than $2 per day. In fact that this moment 5 billion people worldwide do not have access to modern affordable surgery. Mercy ships is working hard to change the global surgery crisis with greater than 400 volunteers. Mercy ships operates the largest NGO hospital ship delivering free medical care to the poorest of the poor in Africa. Let's see from them now. When the ship shows up to port, literally people line up for days to receive state of the art life, sane changing life saving surgeries, tumor site limbs, disease blindness, birth defects, but not only that, the personnel are educating and training the local healthcare providers with new skills and infrastructure so they can care for their own. After the ship has left, mercy ships runs on Vm ware, a dell technology with VX rail, Dell Isilon data protection. We are the it platform for mercy ships. Mercy ships is now building their next generation ship called global mercy, which were more than double. It's lifesaving capacity. It's the largest charity hospital ever. It will go live in 20 slash 20 serving Africa and I personally plan on being there for its launch. It is truly amazing what they are doing with our technology. Thanks. So we see this picture of the hybrid cloud. We've talked about how we do that for the private cloud. So let's look over at the public cloud and let's dig into this a little bit more deeply. You know, we're taking this incredible power of the Vm ware Cloud Foundation and making it available for the leading cloud providers in the world and with that, the partnership that we announced almost two years ago with Amazon and on the stage last year, we announced their first generation of products, no better example of the hybrid cloud. And for that it's my pleasure to bring to stage my friend, my partner, the CEO of aws. Please welcome Andy Jassy. Thank you andy. You know, you honor us with your presence, you know, and it really is a pleasure to be able to come in front of this audience and talk about what our teams have accomplished together over the last, uh, year. Yo, can you give us some perspective on that, Andy and what customers are doing with it? Well, first of all, thanks for having me. I really appreciate it. It's great to be here with all of you. Uh, you know, the offering that we have together customers because it allows them to use the same software they've been using to again, where cloud and aws is very appealing to manage their infrastructure for years to be able to deploy it an aws and we see a lot of customer momentum and a lot of customers using it. You see it in every imaginable vertical business segment in transportation. You see it with stagecoach and media and entertainment. You see it with discovery communications in education, Mit and Caltech and consulting and accenture and cognizant and dxc you see in every imaginable vertical business segment and the number of customers using the offering is doubling every quarter. So people were really excited about it and I think that probably the number one use case we see so far, although there are a lot of them, is customers who are looking to migrate on premises applications to the cloud. And a good example of that is mit. We're there right now in the process of migrating. In fact, they just did migrate 3000 vms from their data centers to Vm ware cloud native us. And this would have taken years before to do in the past, but they did it in just three months. It was really spectacular and they're just a fun company to work with and the team there. But we're also seeing other use cases as well. And you're probably the second most common example is we'll say on demand capabilities for things like disaster recovery. We have great examples of customers you that one in particular, his brakes, right? Urban in those. The brings security trucks and they all armored trucks coming by and they had a critical need to retire a secondary data center that they were using, you know, for Dr. so we quickly built to Dr Protection Environment for $600. Bdms know they migrated their mission critical workloads and Wallah stable and consistent Dr and now they're eliminating that site and looking for other migrations as well. The rate of 10 to 15 percent. It was just a great deal. One of the things I believe Andy, he'll customers should never spend capital, uh, Dr ever again with this kind of capability in place. That is just that game changing, you know, and you know, obviously we've been working on expanding our reach, you know, we promised to make the service available a year ago with the global footprint of Amazon and now we've delivered on that promise and in fact today or yesterday if you're an ozzie right down under, we announced in Sydney, uh, as well. And uh, now we're in US Europe and in APJ. Yeah. It's really, I mean it's very exciting. Of course Australia is one of the most virtualized places in the world and, and it's pretty remarkable how fast European customers have started using the offering to and just the quarter that's been out there and probably have the many requests customers has had. And you've had a, probably the number one request has been that we make the offering available in all the regions. The aws has regions and I can tell you by the end of 2019 will largely be there including with golf clubs and golf clap. You guys have been, that's been huge for you guys. Yeah. It's a government only region that we have that a lot of federal government workloads live in and we are pretty close together having the offering a fedramp authority to operate, which is a big deal on a game changer for governments because then there'll be able to use the familiar tools they use and vm ware not just to run their workloads on premises but also in the cloud as well with the data privacy requirements, security requirements they need. So it's a real game changer for government too. Yeah. And this you can see by the picture here basically before the end of next year, everywhere that you are and have an availability zone. We're going to be there running on data. Yup. Yeah. Let's get with it. Okay. We're a team go faster. Okay. You'll and you know, it's not just making it available, but this pace of innovation and you know, you guys have really taught us a few things in this respect and since we went live in the Oregon region, you know, we've been on a quarterly cadence of major releases and two was really about mission critical at scale and we added our second region. We added our hybrid cloud extension with m three. We moved the global rollout and we launched in Europe with m four. We really add a lot of these mission critical governance aspects started to attack all of the industry certifications and today we're announcing and five right. And uh, you know, with that, uh, I think we have this little cool thing you know, two of the most important priorities for that we're doing with ebs and storage. Yeah, we'll take, customers, our cost and performance. And so we have a couple of things to talk about today that we're bringing to you that I think hit both of those on a storage side. We've combined the elasticity of Amazon Elastic Block store or ebs with ware is Va v San and we've provided now a storage option that you'll be able to use that as much. It's very high capacity and much more cost effective and you'll start to see this initially on the Vm ware cloud. Native us are five instances which are compute instances, their memory optimized and so this will change the cost equation. You'll be able to use ebs by default and it'll be much more cost effective for storage or memory intensive workloads. Um, it's something that you guys have asked for. It's been very frequently requested it, it hits preview today. And then the other thing is that we've worked really hard together to integrate vm ware's Nsx along with aws direct neck to have a private even higher performance conductivity between on premises and the cloud. So very, very exciting new capabilities to show deep integration between the companies. Yeah. You know, in that aspect of the deep integration. So it's really been the thing that we committed to, you know, we have large engineering teams that are working literally every day. Right on bringing together and how do we fuse these platforms together at a deep and intimate way so that we can deliver new services just like elastic drs and the c and ebs really powerful, uh, capabilities and that pace of innovation continue. So next maybe. Um, maybe six. I don't know. We'll see. All right. You know, but we're continuing this toward pace of innovation, you know, completing all of the capabilities of Nsx. You'll full integration for all of the direct connect to capabilities. Really expanding that. You're only improving licensed capabilities on the platform. We'll be adding pks on top of for expanded developer a capabilities. So just. Oh, thank you. I, I think that was formerly known as Right, and y'all were continuing this pace of storage Chad. So anyway. innovation going forward, but I think we also have a few other things to talk about today. Andy. Yeah, I think we have some news that hopefully people here will be pretty excited about. We know we have a pretty big database business and aws and it's. It's both on the relational and on the nonrelational side and the business is billions of dollars in revenue for us and on the relational side. We have a service called Amazon relational database service or Amazon rds that we have hundreds of thousands of customers using because it makes it much easier for them to set up, operate and scale their databases and so many companies now are operating in hybrid mode and will be for a while and a lot of those customers have asked us, can you give us the ease of manageability of those databases but on premises. And so we talked about it and we thought about and we work with our partners at Vm ware and I'm excited to announce today, right now Amazon rds on Vm ware and so that will bring all the capabilities of Amazon rds to vm ware's customers for their on premises environments. And so what you'll be able to do is you'll be able to provision databases. You'll be able to scale the compute or the memory or the storage for those database instances. You'll be able to patch the operating system or database engines. You'll be able to create, read replicas to scale your database reads and you can deploy this rep because either on premises or an aws, you'll be able to deploy and high high availability configuration by replicating the data to different vm ware clusters. You'll be able to create online backups that either live on premises or an aws and then you'll be able to take all those databases and if you eventually want to move them to aws, you'll be able to do so rather easily. You have a pretty smooth path. This is going to be available in a few months. It will be available on Oracle sql server, sql postgresql and Maria DB. I think it's very exciting for our customers and I think it's also a good example of where we're continuing to deepen the partnership and listen to what customers want and then innovate on their behalf. Absolutely. Thank you andy. It is thrilling to see this and as we said, when we began the partnership, it was a deep integration of our offerings and our go to market, but also building this bi-directional hybrid highway to give customers the capabilities where they wanted cloud on premise, on premise to the cloud. It really is a unique partnership that we've built, the momentum we're feeling to our customer base and the cool innovations that we're doing. Andy, thank you so much for you Jordan Young, rural 20th. You guys appreciate it. Yeah, we really have just seen incredible momentum and as you might have heard from our earnings call that we just finished this. We finished the last quarter. We just really saw customer momentum here. Accelerating. Really exciting to see how customers are starting to really do the hybrid cloud at scale and with this we're just seeing that this vm ware cloud foundation available on Amazon available on premise. Very powerful, but it's not just the partnership with Amazon. We are thrilled to see the momentum of our Vm ware cloud provider program and this idea of the vm ware cloud providers has continued to gain momentum in the industry and go over five years. Right. This program has now accumulated more than 4,200 cloud partners in over 120 countries around the globe. It gives you choice, your local provider specialty offerings, some of your local trusted partners that you would have in giving you the greatest flexibility to choose from and cloud providers that meet your unique business requirements. And we launched last year a program called Vm ware cloud verified and this was saying you're the most complete embodiment of the Vm ware Cloud Foundation offering by our cloud partners in this program and this logo you know, allows you to that this provider has achieved the highest standard for cloud infrastructure and that you can scale and deliver your hybrid cloud and partnering with them. It know a particular. We've been thrilled to see the momentum that we've had with IBM as a huge partner and our business with them has grown extraordinarily rapidly and triple digits, but not just the customer count, which is now over 1700, but also in the depth of customers moving large portions of the workload. And as you see by the picture, we're very proud of the scope of our partnerships in a global basis. The highest standard of hybrid cloud for you, the Vm ware cloud verified partners. Now when we come back to this picture, you know we, you know, we're, we're growing in our definition of what the hybrid cloud means and through Vm Ware Cloud Foundation, we've been able to unify the private and the public cloud together as never before, but we're also seeing that many of you are interested in how do I extend that infrastructure further and farther and will simply call that the edge right? And how do we move data closer to where? How do we move data center resources and capacity closer to where the data's being generated at the operations need to be performed? Simply the edge and we'll dig into that a little bit more, but as we do that, what are the things that we offer today with what we just talked about with Amazon and our VCP p partners is that they can consume as a service this full vm ware Cloud Foundation, but today we're only offering that in the public cloud until project dimension of project dimension allows us to extend delivered as a service, private, public, and to the edge. Today we're announcing the tech preview, a project dimension Vm ware cloud foundation in a hyperconverged appliance. We're partnered deeply with Dell EMC, Lenovo for the first partners to bring this to the marketplace, built on that same proven infrastructure, a hybrid cloud control plane, so literally just like we're managing the Vm ware cloud today, we're able to do that for your on premise. You're small or remote office or your edge infrastructure through that exact same as a service management and control plane, a complete vm ware operated end to end environment. This is project dimension. Taking the vcf stack, the full vm ware cloud foundation stack, making an available in the cloud to the edge and on premise as well, a powerful solution operated by BM ware. This project dimension and project dimension allows us to have a fundamental building block in our approach to making customers even more agile, flexible, scalable, and a key component of our strategy as well. So let's click into that edge a little bit more and we think about the edge in the following layers, the compute edge, how do we get the data and operations and applications closer to where they need to be. If you remember last year I talked about this pendulum swinging of centralization and decentralization edge is a decentralization force. We're also excited that we're moving the edge of the devices as well and we're doing that in two ways. One with workspace, one for human optimized devices and the second is project pulse or Vm ware pulse. And today we're announcing pulse two point zero where you can consume it now as a service as well as with integrated security. And we've now scaled pulse to support 500 million devices. Isn't that incredible, right? I mean this is getting a scale. Billions and billions and finally networking is a key component. You all that. We're stretching the networking platform, right? And evolving how that edge operates in a more cloud and that's a service white and this is where Nsx St with Velo cloud is such a key component of delivering the edge of network services as well. Taken together the device side, the compute edge and rethinking and evolving the networking layer together is the vm ware edge strategy summary. We see businesses are on this multicloud journey, right? How do we then do that for their private of public coming together, the hybrid cloud, but they're also on a journey for how they work and operate it across the public cloud and the public cloud we have this torrid innovation, you'll want Andy's here, challenges. You know, he's announcing 1500 new services or were extraordinary innovation and you'll same for azure or Google Ibm cloud, but it also creates the same complexity as we said. Businesses are using multiple public clouds and how do I operate them? How do I make them work? You know, how do I keep track of my accounts and users that creates a set of cloud operations problems as well in the complexity of doing that. How do you make it work? Right? And your for that. We'll just see that there's this idea cloud cost compliance, analytics as these common themes that of, you know, keep coming up and we're seeing in our customers that are new role is emerging. The cloud operations role. You're the person who's figuring out how to make these multicloud environments work and keep track of who's using what and which data is landing where today I'm thrilled to tell you that the, um, where is acquiring the leader in this space? Cloudhealth technologies. Thank you. Cloudhealth technologies supports today, Amazon, azure and Google. They have some 3,500 customers, some of the largest and most respected brands in the, as a service industry. And Sasa business today rapidly span expanding feature sets. We will take cloudhealth and we're going to make it a fundamental platform and branded offering from the um, where we will add many of the other vm ware components into this platform, such as our wavefront analytics, our cloud, choreo compliance, and many of the other vm ware products will become part of the cloudhealth suite of services. We will be enabling that through our enterprise channels as well as through our MSP and BCPP partners as well know. Simply put, we will make cloudhealth the cloud operations platform of choice for the industry. I'm thrilled today to have Joe Consella, the CTO and founder. Joe, please stand up. Thank you joe to your team of a couple hundred, you know, mostly in Boston. Welcome to the Vm ware family, the Vm ware community. It is a thrill to have you part of our team. Thank you joe. Thank you. We're also announcing today, and you can think of this, much like we had v realize operations and v realize automation, the compliment to the cloudhealth operations, vm ware, cloud automation, and some of you might've heard of this in the past, this project tango. Well, today we're announcing the initial availability of Vm ware, cloud automation, assemble, manage complex applications, automate their provisioning and cloud services, and manage them through a brokerage the initial availability of cloud automation services, service. Your today, the acquisition of cloudhealth as a platform, the aware of the most complete set of multicloud management tools in the industry, and we're going to do so much more so we've seen this picture of this multicloud journey that our customers are on and you know, we're working hard to say we are going to bridge across these worlds of innovation, the multicloud world. We're doing many other things. You're gonna hear a lot at the show today about this year. We're also giving the tech preview of the Vm ware cloud marketplace for our partners and customers. Also today, Dell technologies is announcing their cloud marketplace to provide a self service, a portfolio of a Dell emc technologies. We're fundamentally in a unique position to accelerate your multicloud journey. So we've built out this any cloud piece, but right in the middle of that any cloud is the network. And when we think about the network, we're just so excited about what we have done and what we're seeing in the industry. So let's click into this a little bit further. We've gotten a lot done over the last five years. Networking. Look at these numbers. 80 million switch ports have been shipped. We are now 10 x larger than number two and software defined networking. We have over 7,500 customers running on Nsx and maybe the stat that I'm most proud of is 82 percent of the fortune 100 has now adopted nsx. You have made nsx these standard and software defined networking. Thank you very much. Thank you. When we think about this journey that we're on, we started. You're saying, Hey, we've got to break the chains inside of the data center as we said. And then Nsx became the software defined networking platform. We started to do it through our cloud provider partners. Ibm made a huge commitment to partner with us and deliver this to their customers. We then said, boy, we're going to make a fundamental to all of our cloud services including aws. We built this bridge called the hybrid cloud extension. We said we're going to build it natively into what we're doing with Telcos, with Azure and Amazon as a service. We acquired the St Wagon, right, and a Velo cloud at the hottest product of Vm ware's portfolio today. The opportunity to fundamentally transform branch and wide area networking and we're extending it to the edge. You're literally, the world has become this complex network. We have seen the world go from the old defined by rigid boundaries, simply put in a distributed world. Hardware cannot possibly work. We're empowering customers to secure their applications and the data regardless of where they sit and when we think of the virtual cloud network, we say it's these three fundamental things, a cloud centric networking fabric with intrinsic security and all of it delivered in software. The world is moving from data centers to centers of data and they need to be connected and Nsx is the way that we will do that. So you'll be aware of is well known for this idea of talking but also showing. So no vm world keynote is okay without great demonstrations of it because you shouldn't believe me only what we can actually show and to do that know I'm going to have our CTL come onstage and CTL y'all. I used to be a cto and the CTO is the certified smart guy. He's also known as the chief talking officer and today he's my demo partner. Please walk, um, Vm ware, cto ray to the stage. Right morning pat. How you doing? Oh, it's great ray, and thanks so much for joining us. Know I promised that we're going to show off some pretty cool stuff here. We've covered a lot already, but are you up to the task? We're going to try and run through a lot of demos. We're going to do it fast and you're going to have to keep me on time to ask an awkward question. Slow me down. Okay. That's my fault if you run along. Okay, I got it. I got it. Let's jump right in here. So I'm a CTO. I get to meet lots of customers that. A few weeks ago I met a cio of a large distribution company and she described her it infrastructure as consisting of a number of data centers troll to us, which he also spoke of a large number of warehouses globally, and each of these had local hyperconverged compute and storage, primarily running surveillance and warehouse management applications, and she pulls me four questions. The first question she asked me, she says, how do I migrate one of these data centers to Vm ware cloud on aws? I want to get out of one of these data centers. Okay. Sounds like something andy and I were just talking exactly, exactly what you just spoke to a few moments ago. She also wanted to simplify the management of the infrastructure in the warehouse as themselves. Okay. He's age and smaller data centers that you've had out there. Her application at the warehouses that needed to run locally, butter developers wanted to develop using cloud infrastructure. Cloud API is a little bit late. The rds we spoken with her in. Her final question was looking to the future, make all this complicated management go away. I want to be able to focus on my application, so that's what my business is about. So give me some new ways of how to automate all of this infrastructure from the edge to the cloud. Sounds pretty clear. Can we do it? Yes we can. So we're going to dive right in right now into one of these demos. And the first demo we're going to look at it is vm ware cloud on aws. This is the best solution for accelerating this public cloud journey. So can we start the demo please? So what you were looking at here is one of those data centers and you should be familiar with this product. It's a familiar vsphere client. You see it's got a bunch of virtual machines running in there. These are the virtual machines that we now want to be able to migrate and move the VMC on aws. So we're going to go through that migration right now. And to do that we use a product that you've seen already atx, however it's the x has been, has got some new cool features since the last time we download it. Probably on this stage here last year, I wanted those in particular is how do we do bulk migration and there's a new cool thing, right? Whole thing we want to move the data center en mass and his concept here is cloud motion with vsphere replication. What this does is it replicates the underlying storage of the virtual machines using vsphere replication. So if and when you want to now do the final migration, it actually becomes a vmotion. So this is what you see going on right here. The replication is in place. Now when you want to touch you move those virtual machines. What you'll do is a vmotion and the key thing to think about here is this is an actual vmotion. Those the ends as room as they're moving a hustler, migrating remained life just as you would in a v motion across one particular infrastructure. Did you feel complete application or data center migration with no dying town? It's a Standard v motion kind of appearance. Wow. That is really impressive. That's correct. Wow. You. So one of the other things we want to talk about here is as we are moving these virtual machines from the on prem infrastructure to the VMC on aws infrastructure, unfortunately when we set up the cloud on VMC and aws, we only set up for hosts, uh, that might not be, that'd be enough because she is going to move the whole infrastructure of that this was something you guys, you and Andy referred to briefly data center. Now, earlier, this concept of elastic drs. what elastic drs does, it allows the VMC on aws to react to the workloads as they're being created and pulled in onto that infrastructure and automatically pull in new hosts into the VMC infrastructure along the way. So what you're seeing here is essentially the MC growing the infrastructure to meet the needs of the workloads themselves. Very cool. So overseeing that elastic drs. we also see the ebs capabilities as well. Again, you guys spoke about this too. This is the ability to be able to take the huge amount of stories that Amazon have, an ebs and then front that by visa you get the same experience of v Sign, but you get this enormous amount of storage capabilities behind it. Wow. That's incredible. That's incredible. I'm excited about this. This is going to enable customers to migrate faster and larger than ever before. Correct. Now she had a series of little questions. Okay. The second question was around what about all those data centers and those age applications that I did not move, and this is where we introduce the project which you've heard of already tonight called project dementia. What this does, it gives you the simplicity of Vm ware cloud, but bringing that out to the age, you know what's basically going on here, vmc on aws is a service which manages your infrastructure in aws. We know stretch that service out into your infrastructure, in your data center and at the age, allowing us to be able to manage that infrastructure in the same way. Once again, let's dive down into a demo and take a look at what this looks like. So what you've got here is a familiar series of services available to you, one of them, which is project dimension. When you enter project dimension, you first get a view of all of the different infrastructure that you have available to you, your data centers, your edge locations. You can then dive deeply into one of these to get a closer look at what's going on here. We're diving into one of these The problem is there's a networking problem going on in this warehouse. warehouses and we see it as a problem here. How do we know? We know because vm ware is running this as a managed service. We are directly managing or sorry, monitoring your infrastructure or we discover there's something going wrong here. We automatically create the ASR, so somebody is dealing with this. You have visibility to what's going on, but the vm ware managed service is already chasing the problem for you. Oh, very good. So now we're seeing this dispersed infrastructure with project dementia, but what's running on it so well before we get with running out, you've got another problem and the problem is of course, if you're managing a lot of infrastructure like this, you need to keep it up to date. And so once again, this is where the vm ware managed service kicks in. We manage that infrastructure in terms of patching it and updating it for you. And as an example, when we released a security patch, here's one for the recent l, one terminal fault, the Vmr managed service is already on that and making sure that your on prem and edge infrastructure is up to date. Very good. Now, what's running? Okay. So what's running, uh, so we mentioned this case of this software running at the edge infrastructure itself, and these are workloads which are running locally in those age, uh, those edge locations. This is a surveillance application. You can see it here at the bottom it says warehouse safety monitor. So this is an application which gathers images and then stores those images He said my sql database on top there, now this is where we leverage the somewhere and it puts them in a database. technology you just learned about when Andy and pat spoke about disability to take rds and run that on your on prem infrastructure. The block of virtual machines in the moment are the rds components from Amazon running in your infrastructure or in your edge location, and this gives you the ability to allow your developers to be able to leverage and operate against those Apis, but now the actual database, the infrastructure is running on prem and you might be doing just for performance reasons because of latency, you might be doing it simply because this data center is not always connected to the cloud. When you take a look into under the hood and see what's going on here, what you actually see this is vsphere, a modified version of vsphere. You see this new concept of my custom availability zone. That is the availability zone running on your infrastructure which supports or ds. What's more interesting is you flip back to the Amazon portal. This is typically what your developers are going to do. Once again, you see an availability zone in your Amazon portal. This is the availability zone running on your equipment in your data center. So we've truly taken that already as infrastructure and moved it to the edge so the developer sees what they're comfortable with and the infrastructure sees what they're comfortable with bridging those two worlds. Fabulous. Right. So the final question of course that we got here was what's next? How do I begin to look to the future and say I am going to, I want to be able to see all of my infrastructure just handled in an automated fashion. And so when you think about that, one of the questions there is how do we leverage new technologies such as ai and ml to do that? So what you've got here is, sorry we've got a little bit later. What you've got here is how do I blend ai in a male and the power of what's in the data center itself. Okay. And we could do that. We're bringing you the AI and ml, right? And fusing them together as never before to truly change how the data center operates. Correct. And it is this introduction is this merging of these things together, which is extremely powerful in my mind. This is a little bit like a self driving vehicle, so thinking about a car driving down the street is self driving vehicle, it is consuming information from all of the environment around it, other vehicles, what's happening, everything from the wetter, but it also has a lot of built in knowledge which is built up to to self learning and training along the way in the kids collecting lots of that data for decades. Exactly. And we've got all that from all the infrastructure that we have. We can now bring that to bear. So what we're focusing on here is a project called project magna and project. Magna leverage is all of this infrastructure. What it does here is it helps connect the dots across huge datasets and again a deep insight across the stack, all the way from the application hardware, the infrastructure to the public cloud, and even the age and what it does, it leverages hundreds of control points to optimize your infrastructure on Kpis of cost performance, even user specified policies. This is the use of machine language in order to fundamentally transform. I'm sorry, machine learning. I'm going back to some. Very early was here, right? This is the use of machine learning and ai, which will automatically transform. How do you actually automate these data centers? The goal is true automation of your infrastructure, so you get to focus on the applications which really served needs of your business. Yeah, and you know, maybe you could think about that as in the past we would have described the software defined data center, but in the future we're calling it the self driving data center. Here we are taking that same acronym and redefining it, right? Because the self driving data center, the steep infusion of ai and machine learning into the management and automation into the storage, into the networking, into vsphere, redefining the self driving data center and with that we believe fundamentally is to be an enormous advance and how they can take advantage of new capabilities from bm ware. Correct. And you're already seeing some of this in pieces of projects such as some of the stuff we do in wavefront and so already this is how do we take this to a new level and that's what project magnet will do. So let's summarize what we've seen in a few demos here as we work in true each of these very quickly going through these demos. First of all, you saw the n word cloud on aws. How do I migrate an entire data center to the cloud with no downtime? Check, we saw project dementia, get the simplicity of Vm ware cloud in the data center and manage it at the age as a managed service check. Amazon rds and Vm ware. Cool Demo, seamlessly deploy a cloud service to an on premises environment. In this case already. Yes, we got that one coming in are in m five. And then finally project magna. What happens when you're looking to the future? How do we leverage ai and ml to self optimize to virtual infrastructure? Well, how did ray do as our demo guy? Thank you. Thanks. Thanks. Right. Thank you. So coming back to this picture, our gps for the day, we've covered any cloud, let's click into now any application, and as we think about any application, we really view it as this breadth of the traditional cloud native and Sas Coobernetti is quickly maybe spectacularly becoming seen as the consensus way that containers will be managed and automate as the framework for how modern APP teams are looking at their next generation environment, quickly emerging as a key to how enterprises build and deploy their applications today. And containers are efficient, lightweight, portable. They have lots of values for developers, but they need to also be run and operate and have many infrastructure challenges as well. Managing automation while patch lifecycle updates, efficient move of new application services, know can be accelerated with containers. We also have these infrastructure problems and you know, one thing we want to make clear is that the best way to run a container environment is on a virtual machine. You know, in fact, every leader in public cloud runs their containers and virtual machines. Google the creator and arguably the world leader in containers. They runs them all in containers. Both their internal it and what they run as well as G K, e for external users as well. They just announced gke on premise on vm ware for their container environments. Google and all major clouds run their containers and vms and simply put it's the best way to run containers. And we have solved through what we have done collectively the infrastructure problems and as we saw earlier, cool new container apps are also typically some ugly combination of cool new and legacy and existing environments as well. How do we bridge those two worlds? And today as people are rapidly moving forward with containers and Coobernetti's, we're seeing a certain set of problems emerge. And Dan cone, right, the director of CNCF, the Coobernetti, uh, the cloud native computing foundation, the body for Coobernetti's collaboration and that, the group that sort of stewards the standardization of this capability and he points out these four challenges. How do you secure them? How do you network and you know, how do you monitor and what do you do for the storage underneath them? Simply put, vm ware is out to be, is working to be is on our way to be the dial tone for Coobernetti's. Now, some of you who were in your twenties might not know what that means, so we know over to a gray hair or come and see me afterward. We'll explain what dial tone means to you or maybe stated differently. Enterprise grade standard for Cooper netties and for that we are working together with our partners at Google as well as pivotal to deliver Vm ware, pks, Cooper netties as an enterprise capability. It builds on Bosh. The lifecycle engine that's foundational to the pivotal have offerings today, uh, builds on and is committed to stay current with the latest Coobernetti's releases. It builds on Nsx, the SDN container, networking and additional contributions that were making like harbor the Vm ware open source contribution for the container registry. It packages those together makes them available on a hybrid cloud as well as public cloud environments with pks operators can efficiently deploy, run, upgrade their coopernetties environments on SDDC or on all public clouds. While developers have the freedom to embrace and run their applications rapidly and efficiently, simply put, pks, the standard for Coobernetti's in the enterprise and underneath that Nsx you'll is emerging as the standard for software defined networking. But when we think about and we saw that quote on the challenges of Kubernetes today, we see that networking is one of the huge challenge is underneath that and in a containerized world, things are changing even more rapidly. My network environment is moving more quickly. NSX provides the environment's easily automate networking and security for rapid deployment of containerized environments that fully supports the MRP chaos, fully supports pivotal's application service, and we're also committed to fully support all of the major kubernetes distribution such as red hat, heptio and docker as well Nsx, the only platform on the planet that can address the complexity and scale of container deployments taken together Vm Ware, pks, the production grade computer for the enterprise available on hybrid cloud, available on major public clouds. Now, let's not just talk about it again. Let's see it in action and please walk up to the stage. When di Carter with Ray, the senior director of cloud native marketing for Vm ware. Thank you. Hi everybody. So we're going to talk about pks because more and more new applications are built using kubernetes and using containers with vm ware pts. We get to simplify the deploying and the operation of Kubernetes at scale. When the. You're the experts on all of this, right? So can you take as true the scenario of how pks or vm ware pts can really help a developer operating the Kubernedes environment, developed great applications, but also from an administrator point of view, I can really handle things like networking, security and those configurations. Sounds great. I love to dive into the demo here. Okay. Our Demo is. Yeah, more pks running coubernetties vsphere. Now pks has a lot of cool functions built in, one of which is Nsx. And today what I'm going to show you is how NSX will automatically bring up network objects as quick Coobernetti's name spaces are spun up. So we're going to start with the fees per client, which has been extended to Ron pks, deployed cooper clusters. We're going to go into pks instance one, and we see that there are five clusters running. We're going to select one other clusters, call application production, and we see that it is running nsx. Now a cluster typically has multiple users and users are assigned namespaces, and these namespaces are essentially a way to provide isolation and dedicated resources to the users in that cluster. So we're going to check how many namespaces are running in this cluster and more brought up the Kubernetes Ui. We're going to click on namespace and we see that this cluster currently has four namespaces running wire. We're going to do next is bringing up a new name space and show that Nsx will automatically bring up the network objects required for that name space. So to do that, we're going to upload a Yammel file and your developer may actually use Ku Kata command to do this as well. We're going to check the namespace and there it is. We have a new name space called pks rocks. Yeah. Okay. Now why is that guy now? It's great. We have a new name space and now we want to make sure it has the network elements assigned to us, so we're going to go to the NSX manager and hit refresh and there it is. PKS rocks has a logical robber and a logical switch automatically assigned to it and it's up and running. So I want to interrupt here because you made this look so easy, right? I'm not sure people realize the power of what happened here. The developer, winton using Kubernetes, is api infrastructure to familiar with added a new namespace and behind the scenes pks and tardy took care of the networking. It combination of Nsx, a combination of what we do at pks to truly automate this function. Absolutely. So this means that if you are on the infrastructure operation, you don't need to worry about your developer springing up namespaces because Nsx will take care of bringing the networking up and then bringing them back down when the namespace is not used. So rate, but that's not it. Now, I was in operations before and I know how hard it is for enterprises to roll out a new product without visibility. Right, so pks took care of those dates, you operational needs as well, so while it's running your clusters, it's also exporting Meta data so that your developers and operators can use wavefront to gain deep visibility into the health of the cluster as well as resources consumed by the cluster. So here you see the wavefront Ui and it's showing you the number of nodes running, active parts, inactive pause, et cetera. You can also dive deeper into the analytics and take a look at information site, Georgia namespace, so you see pks rocks there and you see the number of active nodes running as well as the CPU utilization and memory consumption of that nice space. So now pks rocks is ready to run containerized applications and microservices. So you just get us a very highlight of a demo here to see a little bit what pks pks says, where can we learn more? So we'd love to show you more. Please come by the booth and we have more cool functions running on pks and we'd love to have you come by. Excellent. Thank you, Lindy. Thank you. Yeah, so when we look at these types of workloads now running on vsphere containers, Kubernedes, we also see a new type of workload beginning to appear and these are workloads which are basically machine learning and ai and in many cases they leverage a new type of infrastructure, hardware accelerators, typically gps. What we're going to talk about here is how in video and Vm ware have worked together to give you flexibility to run sophisticated Vdi workloads, but also to leverage those same gpu for deep learning inference workloads also on vsphere. So let's dive right into a demo here. Again, what you're seeing here is again, you're looking at here, you're looking at your standard view realized operations product, and you see we've got two sets of applications here, a Vdi desktop workload and machine learning, and the graph is showing what's happening with the Vdi desktops. These are office workers leveraging these desktops everyday, so of course the infrastructure is super busy during the daytime when they're in the office, but the green area shows this is not been used very heavily outside of those times. So let's take a look. What happens to the machine learning application in this case, this organization leverages those available gpu to run the machine learning operations outside the normal working hours. Let's take a little bit of a deeper dive into what the application it is before we see what we can do from an infrastructure and configuration point of view. So this machine learning application processes a vast number of images and it clarify or sorry, it categorizes these images and as it's doing so, it is moving forward and putting each of these in a database and you can see it's operating here relatively fast and it's leveraging some gps to do that. So typical image processing type of machine learning problem. Now let's take a dive in and look at the infrastructure which is making this happen. First of all, we're going to look only at the Vdi employee Dvt, a Vdi infrastructure here. So I've got a bunch of these applications running Vdi applications. What I want to do is I want to move these so that I can make this image processing out a application run a lot faster. Now normally you wouldn't do this, but pot insisted that we do this demo at 10:30 in the morning when the office workers are in there, so we're going to move older Vdi workloads over to the other cluster and that's what you're seeing is going on right now. So as they move over to this other cluster, what we are now doing is freeing up all of the infrastructure. The GPU that Vdi workload was using here. We see them moving across and now you've freed up that infrastructure. So now we want to take a look at this application itself, the machine learning application and see how we can make use of that. Now freed up infrastructure we've got here is the application is running using one gpu in a vsphere cluster, but I've got three more gpu is available now because I've moved the Vdi workloads. We simply modify the application, let it know that these are available and you suddenly see an increase in the processing capabilities because of what we've done here in terms of making the flexibility of accessing those gps. So what you see here is the same gps that youth for Vdi, which you probably have in your infrastructure today, can also be used to run sophisticated machine learning and ai type of applications on your vsphere infrastructure. So let's summarize what we've seen in the various demos here in this section. First of all, we saw how the MRPS simplifies the deployment and operating operation of Kubernetes at scale. What we've also seen is that leveraging the Nvidia Gpu, we can now run the most demanding workloads on vsphere. When we think about all of these applications and these new types of workloads that people are running. I want to take one second to speak to another workload that we're seeing beginning to appear in the data center. And this is of course blockchain. We're seeing an increasing number of organizations evaluating blockchains for smart contract and digital consensus solutions. So this tech, this technology is really becoming or potentially becoming a critical role in how businesses will interact each other, how they will work together. We'd project concord, which is an open source project that we're releasing today. You get the choice, performance and scale of verifiable trust, which you can then bring to bear and run in the enterprise, but this is not just another blockchain implementation. We have focused very squarely on making sure that this is good for enterprises. It focuses on performance, it focuses on scalability. We have seen examples where running consensus algorithms have taken over 80 days on some of the most common and widely used infrastructure in blockchain and we project conquered. You can do that in two and a half hours. So I encourage you to check out this project on get hub today. You'll also see lots of activity around the whole conference. Speaking about this. Now we're going to dive into another section which is the anti device section. And for that I need to welcome pat back up there. Thank you pat. Thanks right. So diving into any device piece of the puzzle, you and as we think about the superpowers that we have, maybe there are no more area that they are more visible than in the any device aspect of our picture. You know, and as we think about this, the superpowers, you know, think about mobility, right? You know, and how it's enabling new things like desktop as a service in the mobile area, these breadth of smartphones and devices, ai and machine learning allow us to manage them, secure them and this expanding envelope of devices in the edge that need to be connected and wearables and three d printers and so on. We've also seen increasing research that says engaged employees are at the center of business success. Engaged employees are the critical ingredient for digital transformation. And frankly this is how I run vm ware, right? You know, I have my device and my work, all my applications, every one of my 23,000 employees is running on our transformed workspace one environment. Research shows that companies that, that give employees ready anytime access are nearly three x more likely to be leaders in digital transformation. That employees spend 20 percent of their time today on manual processes that can be automated. The way team collaboration and speed of division decisions increases by 16 percent with engaged employees with modern devices. Simply put this as a critical aspect to enabling your business, but you remember this picture from the silos that we started with and each of these environments has their own tribal communities of management, security automation associated with them, and the complexity associated with these is mind boggling and we start to think about these. Remember the I'm a pc and I'm a Mac. Well now you have. I'm an Ios. I'm a droid and other bdi and I'm now a connected printer and I'm a connected watch. You remember citrix manager and good is now bad and sccm a failed model and vpns and Xanax. The chaos is now over at the center of that is vm ware, workspace one, get it out of the business of managing devices, automate them from the cloud, but still have the mentor price. Secure cloud based analytics that brings new capabilities to this critical topic. You'll focus your energy on creating employee and customer experiences. You know, new capabilities to allow like our airlift, the new capability to help customers migrate from their sccm environment to a modern management, expanding the use of workspace intelligence. Last year we announced the chromebook and a partnership with HP and today I'm happy to announce the next step in our partnerships with Dell. And uh, today we're announcing that Dell provisioning for Vm ware, workspace one as part of Dell's ready to work solutions Dallas, taking the next leap and bringing workspace one into the core of their client to offerings. And the way you can think about this as Literally a dell drop ship, lap pops showing up to new employee. day one, productivity. You give them their credential and everything else is delivered by workspace one, your image, your software, everything patched and upgraded, transforming your business, right beginning at that device experience that you give to your customer. And again, we don't want to talk about it. We want to show you how this works. Please walk to the stage with re renew the head of our desktop products marketing. Thank you. So we just heard from pat about how workspace one integrated with Dell laptops is really set up to manage windows devices. What we're broadly focused on here is how do we get a truly modern management system for these devices, but one that has an intelligence behind it to make sure that we're kept with a good understanding of how to keep these devices always up to date and secure. Can we start the demo please? So what we're seeing here is to be the the front screen that you see of workspace one and you see you've got multiple devices a little bit like that demo that patch assured. I've got Ios, android, and of course I've got windows renewal. Can you please take us through how workspace one really changes the ability of somebody an it administrator to update and manage windows into our environment? Absolutely. With windows 10, Microsoft has finally joined the modern management body and we are really excited about that. Now. The good news about modern management is the frequency of ostp updates and how quickly they come out because you can address all those security issues that are hitting our radar on a daily basis, but the bad news about modern management is the frequency of those updates because all of us in it admins, we have to test each and every one of our applications would that latest version because we don't want to roll out that update in case of causes any problems with workspace one, we saw that we simply automate and provide you with the APP compatibility information right out of the box so you can now automate that update process. Let's take a quick look. Let's drill down here further into the windows devices. What we'll see is that only a small percentage of those devices are on that latest version of operating system. Now, that's not a good thing because it might have an important security fix. Let's scroll down further and see what the issue is. We find that it's related to app compatibility. In fact, 38 percent of our devices are blocked from being upgraded and the issue is app compatibility. Now we were able to find that not by asking the admins to test each and every one of those, but we combined windows analytics data with APP intelligent out of the box and be provided that information right here inside of the console. Let's dig down further and see what those devices and apps look like. So knew this is the part that I find most interesting. If I am a system administrator at this point I'm looking at workspace one is giving me a key piece of information. It says if you proceed with this update, it's going to fail 84, 85 percent at a time. So that's an important piece of information here, but not alone. Is it telling me that? It is telling me roughly speaking why it thinks it's going to fail. We've got a number of apps which are not ready to work with this new version, particularly the Mondo card sales lead tracker APP. So what we need to do is get engineering to tackle the problems with this app and make sure that it's updated. So let's get fixing it in order to fix it. What we'll do is create an automation and we can do this right out of the box in this automation will open up a Jira ticket right from within the console to inform the engineers about the problem, not just that we can also flag and send a notification to that engineering manager so that it's top of mine and they can get working on this fixed right away. Let's go ahead and save that automation right here, ray UC. There's the automation that we just So what's happening here is essentially this update is now scheduled meeting. saved. We can go and update oldest windows devices, but workspace one is holding the process of proceeding with that update, waiting for the engineers to update the APP, which is going to cause the problem. That's going to take them some time, right? So the engineers have been working on this, they have a fixed and let's go back and see what's happened to our devices. So going back into the ios updates, what we'll find is now we've unblocked those devices from being upgraded. The 38 percent has drastically dropped down. It can rest in peace that all of the devices are compliant and on that latest version of operating system. And again, this is just a snapshot of the power of workspace one to learn more and see more. I invite you all to join our EOC showcase keynote later this evening. Okay. So we've spoken about the presence of these new devices that it needs to be able to manage and operate across everything that they do. But what we're also seeing is the emergence of a whole new class of computing device. And these are devices which are we commonly speak to have been at the age or embedded devices or Iot. And in many cases these will be in factories. They'll be in your automobiles, there'll be in the building, controlling, controlling, uh, the building itself, air conditioning, etc. Are quite often in some form of industrial environment. There's something like this where you've got A wind farm under embedded in each of these turbines. This is a new class of computing which needs to be managed, secured, or we think virtualization can do a pretty good job of that in new virtualization frontier, right at the edge for iot and iot gateways, and that's gonna. That's gonna, open up a whole new realm of innovation in that space. Let's dive down and taking the demo. This spaces. Well, let's do that. What we're seeing here is a wind turbine farm, a very different than a data center than what we're used to and all the compute infrastructure is being managed by v center and we see to edge gateway hose and they're running a very mission critical safety watchdog vm right on there. Now the safety watchdog vm is an fte mode because it's collecting a lot of the important sensor data and running the mission critical operations for the turbine, so fte mode or full tolerance mode, that's a pretty sophisticated virtualization feature allowing to applications to essentially run in lockstep. So if there's a failure, wouldn't that gets to take over immediately? So this no sophisticated virtualization feature can be brought out all the way to the edge. Exactly. So just like in the data center, we want to perform an update, so as we performed that update, the first thing we'll do is we'll suspend ft on that safety watchdog. Next, we'll put two. Oh, five into maintenance mode. Once that's done, we'll see the power of emotion that we're all familiar with. We'll start to see all the virtual machines vmotion over to the second backup host. Again, all the maintenance, all the update without skipping a heartbeat without taking down any daily operations. So what we're seeing here is the basic power of virtualization being brought out to the age v motion maintenance mode, et cetera. Great. What's the big deal? We've been doing that for years. What's the, you know, come on. What's the big deal? So what you're on the edge. So when you get to the age pack, you're dealing with a whole new class of infrastructure. You're dealing with embedded systems and new types of cpu hours and process. This whole demo has been done on an arm 64. Virtualization brought to arm 64 for embedded devices. So we're doing this on arm on the edge, correct. Specifically focused for embedded for age oems. Okay. Now that's good. Okay. Thank you ray. Actually, we've got a summary here. Pat, just a second before you disappear. A lot to rattle off what we've just seen, right? We've seen workspace one cross platform management. What we've also seen, of course esx for arm to bring the power of vfx to edge on 64, but are in platforms will go no. Okay. Okay. Thank you. Thanks. Now we've seen a look at a customer who is taking advantage of everything that we just saw and again, a story of a customer that is just changing lives in a fundamental way. Let's see. Make a wish. So when a family gets the news that a child is sick and it's a critical illness, it could be a life threatening illness. The whole family has turned upside down. Imagine somebody comes to you and they say, what's the one thing you want that's in your heart? You tell us and then we make that happen. So I was just calling to give you the good news that we're going to be able to grant jackson a wish make, which is the largest wish granting organizations in the United States. English was featured in the cbs 60 minutes episode. Interestingly, it got a lot of hits, but uh, unfortunately for the it team, the whole website crashed make a wish is going through a program right now where we're centralizing technology and putting certain security standards in place at our chapters. So what you're seeing here, we're configuring certain cloud services to make sure that they always are able to deliver on the mission whether they have a local problem or not is we continue to grow the partnership and work with vm ware. It's enabling us to become more efficient in our processes and allows us to grant more wishes. It was a little girl. She had a two year old brother. She just wanted a puppy and she was forthright and I want to name the puppy in my name so my brother would always have me to list them off a five year old. It's something we can't change their medical outcome, but we can change their spiritual outcome and we can transform their lives. Thank you. Working together with you truly making wishes come true. The last topic I want to touch on today, and maybe the most important to me personally is security. You got to fundamentally, when we think about this topic of security, I'll say it's broken today and you know, we would just say that the industry got it wrong that we're trying to bolt on or chasing bad, and when we think about our security spend, we're spending more and we're losing more, right? Every day we're investing more in this aspect of our infrastructure and we're falling more behind. We believe that we have to have much less security products and much more security. You know, fundamentally, you know, if you think about the problem, we build infrastructure, right? Generic infrastructure, we then deploy applications, all kinds of applications, and we're seeing all sorts of threats launched that as daily tens of millions. You're simple virus scanner, right? Is having tens of millions of rules running and changing many times a day. We simply believe the security model needs to change. We need to move from bolted on and chasing bad to an environment that has intrinsic security and is built to ensure good. This idea of built in security. We are taking every one of the core vm ware products and we are building security directly into it. We believe with this, we can eliminate much of the complexity. Many of the sensors and agents and boxes. Instead, they'll directly leverage the mechanisms in the infrastructure and we're using that infrastructure to lock it down to behave as we intended it to ensure good, right on the user side with workspace one on the network side with nsx and microsegmentation and storage with native encryption and on the compute with app defense, we are building in security. We're not chasing threats or adding on, but radically reducing the attack surface. When we look at our applications in the data center, you see this collection of machines running inside of it, right? You know, typically running on vsphere and those machines are increasingly connected. Through nsx and last year we introduced the breakthrough security solution called app defense and app defense. Leverages the unique insight we get into the application so that we can understand the application and map it into the infrastructure and then you can lock down, you could take that understanding, that manifest of its behavior and then lock those vms to that intended behavior and we do that without the operational and performance burden of agents and other rear looking use of attack detection. We're shrinking the attack surface, not chasing the latest attack vector, you know, and this idea of bolt on versus chasing bad. You sort of see it right in the network. Machines have lots of conductivity, lots of applications running and something bad happens. It basically has unfettered access to move horizontally through the data center and most of our security is north, south. MosT of the attacks are eastwest. We introduced this idea of microsegmentation five years ago, and by it we're enabling organizations to secure some networks and separate sensitive applications and services as never before. This idea isn't new, that just was never practical before nsx, but we're not standing still. Our teams are innovating to leap beyond 12. What's next beyond microsegmentation, and we see this in three simple words, learn, imagine a system that can look into the applications and understand their behavior and how they should operate. we're using machine learning and ai instead of chasing were to be able to ensure good where that that system can then locked down its behavior so the system consistently operates that way, but finally we know we have a world of increasing dynamic applications and as we move to more containerize the microservices, we know this world is changing, so we need to adapt. We need to have more automation to adapt to the current behavior. Today I'm very excited to have two major announcements that are delivering on this vision. The first of those vsphere platinum, our flagship vm ware vsphere product now has app defense built right in platinum will enable virtualization teams. Yeah, go ahead. Yeah, let's use it. Platinum will enable virtualization teams you to give an enormous contribution to the security profile of your enterprise. You could see whatever vm is for its purpose, its behavior until the system. That's what it's allowed to do. Dramatically reducing the attack surface without impact. On operations or performance, the capability is so powerful, so profound. We want you to be able to leverage it everywhere, and that's why we're building it directly into vsphere, vsphere platinum. I call it the burger and fries. You know, nobody leaves the restaurant without the fries who would possibly run a vm in the future without turning security on. That's how we want this to work going forward. Vsphere platinum and as powerful as microsegmentation has been as an idea. We're taking the next step with what we call adaptive microsegmentation. We are fusing Together app defense and vsphere with nsx to allow us to align the policies of the application through vsphere and the network. We can then lock down the network and the compute and enable this automation of the microsegment formation taken together adaptive microsegmentation. But again, we don't want to just tell you about it. We want to show you. Please welcome to the stage vj dante, who heads our machine learning team for app dispense. Vj a very good vj. Thanks for joining us. So, you know, I talked about this idea right, of being able to learn, lock and adapt. Uh, can you show it to us? Great. Yeah. Thank you. With vc a platinum, what we have done is we have put in everything you need to learn, lock and adapt, right with the infrastructure. The next time you bring up your wifi at line, you'll actually see a difference right in there. Let's go with that demo. There you go. And when you look at our defense there, what you see is that all your guests, virtual machines and all your host, hundreds of them and thousands of virtual machines enabling for that difference. It's in there. And what that does is immediately gets you visibility into the processes running on those virtual machines and the risk for the first time. Think about it for the first time. You're looking at the infrastructure through the lens of an application. Here, for example, the ecommerce application, you can see the components that make up that application, how they interact with each other, the specific process, a specific ip address on a specific board. That's what you get, but so we're learning the behavior. Yes. Yeah, that's very good. But how do you make sure you only learn good behavior? Exactly. How do we make sure that it's not bad? We actually verify me insured. It's all good. We ensured that everybody these reputation is verified. We ensured that the haven is verified. Let's go to svc host, for example. This process can exhibit hundreds of behaviors across numerous. Realize what we do here is we actually verify that failure saw us. It's actually a machine learning models that had been trained on millions of instances of good, bad at you said, and then automatically verify that for okay, so we said, you. We learned simply, learn now, lock. How does that work? Well, once you learned the application, locking it is as simple as clicking on that verify and protect button and then you can lock both the compute and network and it's done. So we've pushed those policies into nsx and microsegmentation has been established actually locked down the compute. What is the operating system is exactly. Let's first look at compute, protected the processes and the behaviors are locked down to exactly what is allowed for that application. And we have bacon policies and program your firewall. This is nsx being configured automatically for you, laurie, with one single click. Very good. So we said learn lock. Now, how does this adapt thing work? Well, a bad change is the only constant, but modern applications applications change on a continuous basis. What we do is actually pretty simple. We look at every change as it comes in determinant is good or bad. If it's good, we say allow it, update the policies. That's bad. We denied. Let's look at an example as asco dxc. It's exhibiting a behavior that they've not seen getting the learning period. Okay? So this machine has never behave this This hasn't been that way. But. way. But again, our machine learning models had seen thousands of instances of this process. They know this is normal. It talks on three 89 all the time. So what it's done to the few things, it's lowered the criticality of the alarm. Okay, so false positive. Exactly. The bane of security operations, false positives, and it has gone and updated. Jane does locks on compute and network to allow for that behavior. Applications continues to work on this project. Okay, so we can learn and adapt and action right through the compute and the network. What about the client? Well, we do with workplace one, intelligence protect and manage end user endpoint, but what's one intelligence? Nsx and actually work together to protect your entire data center infrastructure, but don't believe me. You can watch it for yourself tomorrow tom cornu keynote. You want to be there, at 1:00 PM, be there or be nowhere. I love you. Thank you veejay. Great job. Thank you so much. So the idea of intrinsic security and ensuring good, we believe fundamentally changing how security will be delivered in the enterprise in the future and changing the entire security industry. We've covered a lot today. I'm thrilled as I stand on stage to stand before this community that truly has been at the center of changing the world of technology over the last couple of decades. In it. We've talked about this idea of the super powers of technology and as they accelerate the huge demand for what you do, you know in the same way we together created this idea of the virtual infrastructure admin. You'll think about all the jobs that we are spawning in the discussion that we had today, the new skills, the new opportunities for each one of us in this room today, quantum program, machine learning engineer, iot and edge expert. We're on the cusp of so many new capabilities and we need you and your skills to do that. The skills that you possess, the abilities that you have to work across these silos of technology and enabled tomorrow. I'll tell you, I am now 38 years in the industry and I've never been more excited because together we have the opportunity to build on the things that collective we have done over the last four decades and truly have a positive global impact. These are hard problems, but I believe together we can successfully extend the lifespan of every human being. I believe together we can eradicate chronic diseases that have plagued mankind for centuries. I believe we can lift the remaining 10 percent of humanity out of extreme poverty. I believe that we can reschedule every worker in the age of the superpowers. I believe that we can give modern ever education to every child on the planet, even in the of slums. I believe that together we could reverse the impact of climate change. I believe that together we have the opportunity to make these a reality. I believe this possibility is only possible together with you. I asked you have a please have a wonderful vm world. Thanks for listening. Happy 20th birthday. Have a great topic.
SUMMARY :
of devices in the edge that need to be
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Amazon | ORGANIZATION | 0.99+ |
Andy | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Michael | PERSON | 0.99+ |
1998 | DATE | 0.99+ |
Telco | ORGANIZATION | 0.99+ |
1986 | DATE | 0.99+ |
Telcos | ORGANIZATION | 0.99+ |
Europe | LOCATION | 0.99+ |
Paul Maritz | PERSON | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
Boston | LOCATION | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Lenovo | ORGANIZATION | 0.99+ |
10 | QUANTITY | 0.99+ |
Deloitte | ORGANIZATION | 0.99+ |
Joe | PERSON | 0.99+ |
Sydney | LOCATION | 0.99+ |
Joe Consella | PERSON | 0.99+ |
Africa | LOCATION | 0.99+ |
Pat Gelsinger | PERSON | 0.99+ |
Oregon | LOCATION | 0.99+ |
20 percent | QUANTITY | 0.99+ |
Ashley | PERSON | 0.99+ |
16 percent | QUANTITY | 0.99+ |
Vegas | LOCATION | 0.99+ |
Jupiter | LOCATION | 0.99+ |
Last year | DATE | 0.99+ |
last year | DATE | 0.99+ |
first question | QUANTITY | 0.99+ |
Lindy | PERSON | 0.99+ |
telco | ORGANIZATION | 0.99+ |
John Gage | PERSON | 0.99+ |
10 percent | QUANTITY | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Dan cone | PERSON | 0.99+ |
68 percent | QUANTITY | 0.99+ |
200 applications | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
50 percent | QUANTITY | 0.99+ |
Vm Ware Cloud Foundation | ORGANIZATION | 0.99+ |
1440 | DATE | 0.99+ |
30 year | QUANTITY | 0.99+ |
HP | ORGANIZATION | 0.99+ |
38 percent | QUANTITY | 0.99+ |
38 years | QUANTITY | 0.99+ |
$600 | QUANTITY | 0.99+ |
20 years | QUANTITY | 0.99+ |
one months | QUANTITY | 0.99+ |
first | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
windows 10 | TITLE | 0.99+ |
hundreds | QUANTITY | 0.99+ |
yesterday | DATE | 0.99+ |
80 million | QUANTITY | 0.99+ |
five percent | QUANTITY | 0.99+ |
second question | QUANTITY | 0.99+ |
Jody | PERSON | 0.99+ |
Today | DATE | 0.99+ |
tomorrow | DATE | 0.99+ |
Sanjay | PERSON | 0.99+ |
23,000 employees | QUANTITY | 0.99+ |
five people | QUANTITY | 0.99+ |
sixth year | QUANTITY | 0.99+ |
82 percent | QUANTITY | 0.99+ |
five instances | QUANTITY | 0.99+ |
tomorrow morning | DATE | 0.99+ |
Coobernetti | ORGANIZATION | 0.99+ |
Wolfgang Ulaga, ASU | PTC LiveWorx 2018
>> From Boston, Massachusetts, it's theCUBE. Covering LiveWorx 18, brought to you by PTC. >> Welcome back to Boston, everybody. This is theCUBE, the leader in live tech coverage, and we are here, day one of the PTC LiveWorx conference, IOT, blockchain, AI, all coming together in a confluence of innovation. I'm Dave Vellante with my co-host, Stu Miniman. Wolfgang Ulaga is here. He's the AT&T Professor of Services Leadership and Co-Executive Director, the Center for Services Leadership at Arizona State University. Wolfgang, welcome to theCUBE, thank you so much for coming on. >> Thank you. >> So services leadership, what should we know? Where do we start this conversation around services leadership? >> The Center of Services Leadership is a center that has been created 30 years ago around a simple idea, and that is putting services front and center of everything a company does. So this is all about service science, service business, service operations, people and culture. When you touch service, you immediately see that you have to be 360 in your approach. You have to look at all the aspects. You have to look at structures and people. You have to look at operations with a service-centric mindset. >> I mean, it sounds so obvious. Anytime we experience, as consumers, great service, we maybe fall in love with a company, we're loyal, we tell everybody. But so often, services fall down. I mean, it seems obvious. Why is it just not implemented in so many organizations? >> One of the problems is that companies tend to look at services as an afterthought. Think about the word after-sales service, which in my mind is already very telling about how it's from a cultural perspective perceived. It's something that you do after the sale has been done. That's why oftentimes, there is the risk that it falls back, it slips from the priority list. You do it once, you have done all the other things. But in reality, businesses are there to serve customers. Service should be the center of what the company does, not at the periphery. >> Or even an embedded component of what the company, I mean, is Amazon a good example of a company that has embraced that? Or is Netflix maybe even a better example? I don't even know what the service department looks like at Netflix, it's just there. Is that how we should envision modern-day service? >> It excites me at the conference at LiveWorx. We see so many companies talking about technology and changes. And you really can sense and see how all of them are thinking about how can they actually grow the business from historic activities into new data-enabled activities. But the interesting challenge for many firms is that this is going to be also journey of learning how to serve its customers through data analytics. So data-enabled services is going to be a huge issue in the next coming years. >> Wolfgang, you're speaking here at the conference. I believe you also wrote a book about advanced services. For those that aren't familiar with the term, maybe walk us through a little bit about what that is. >> Earlier this morning, I presented the book "Service Strategy in Action", which is a very managerial book that we wrote over 10 years of experience of doing studies, working with companies on this journey from a product-centric company that wants to go into a service and solution-centric world and business. Today we see many of the companies picking up the pace, going into that direction, and I would say that with data analytics, this is going to be an even more important phenomenon for the next years to come. >> A lot of companies struggle with service as well because they don't see it as a scale component of their business. It's harder to scale services than it is to scale software, for example. In thinking about embedding services into your core business, how do you deal as an organization with the scale problem? Is it a false problem? How are organizations dealing with that? >> No, you're absolutely right. Many companies know and learn when they are small and they control operations. It's easy to actually have your eyes on service excellence. Once you scale up, you run into this issue of how do you maintain service quality. How do you make sure that each and every time to replicate into different regions, into different territories, into different operations, that you keep that quality up and running. One way to do it is to create a service culture among the people because one way to control that quality level is to push responsibility as low as possible down so that each and every frontline employee knows what he or she has to do, can take action if something goes wrong, and can maintain that service quality at the level we want. That's where sometimes you see challenges and issues popping up. >> What role do you see machines playing? You're seeing a lot of things like Chatbox or voice response. What role will machines play in the services of the future? >> I think it's a fascinating movement that is now put in place where, machine, artificial intelligence, is there to actually enhance value being created for customers. Sometimes you hear this as a threat or as a danger, but I would rather see it as an opportunity to raise levels of service qualities, have this symbiosis between human and machine to actually provide better, outstanding service for customers. >> Could you share some examples of successes there or things that you've studied or researched? >> Yeah so for example, if I take a consumer marketing example. In Europe I worked with a company, which is Nespresso. They do this coffee machines and capsules. In their boutique, they don't call it a store, by the way, they call it a boutique, they have injected a lot of new technology into helping customers to have different touchpoints, get served the way they want to, at the time they want to, how they want to. So this multi-channel, multi-experience for customers, is actually a growing activity. When you look at it from a consumer perspective, I get more opportunities, I get more choices. I can pick and choose when, where, and how I want to be served. A similar example is Procter & Gamble here in the United States. P&G has recently rolled out a new service business, taking a brand, Tide, and creating Tide Dry Cleaners here in America. It's a fascinating example. They use technology like apps on a smartphone to give the customer a much better experience. I think there's many of these example we'll see in the future. >> When we talk about IOT, one of the things that caught our ear in the keynote this morning is, it's going to take 20 to 25 partners putting together this solution. Not only is there integration of software, but one of the big challenges there, I think, is how do you set up services and transform services to be able to live in this multi-vendor environment. I wonder if you could comment on that? >> I agree, I agree. What I see, which makes me as a business professor very excited and that is, of course there's technology, of course there's hardware and software. But one of the biggest challenges will be the business challenges. How do you implement all of these offers? How do you roll it out? One of my talk topics today were how do you commercialize it? How do you actually make money with it? How do you get paid for it? One of my research areas is what they call free to fee. How do you get the r out of the free, and make customers pay for value you create? What I find, especially in the digital services space, there's so much value being created, but not every company is able to capture the value. Getting adequately paid for the value, this is a huge challenge. In sum, I would say it's really an issue about business challenges as much as it's a technological issue or technical challenges. >> I think about IOT, so many of the different transfer protocols, it's open source, that free to fee. Any advice you can give to people out there as to how they capture that value and capture revenue? >> I think you have to be super careful where the commoditization will kick in. If over time, something that was a differentiator yesterday, with the open sources and everything, will become not so much differentiator tomorrow. So where is your competitive edge? How do you stand out from competition? I know these are very classic questions, but you know what? In the IOT and digital space, they resurface, they come back, and having the right answers on these questions will make the difference between you and competition. >> Last question, we got to go. The trend toward self-service, is that a good thing, a bad thing, a depends thing? >> I think everything that allows customers to have choices. Customers today want to be in charge. They want to be in control. They, in fact, want all of it. They want to have service when they want it, but they want to have a non-self-service option if they feel like. So I think the trick is to know, how can I be nimble and give customers all of these choices so that they are in charge and pick and choose. >> Wolfgang, thanks so much for coming to theCUBE. >> Appreciate it, >> It's a pleasure having you, >> thank you very much, >> good to see you. All right, keep it right there, everybody. Stu and I will be back with our next guest right after this short break. We're here at the PTC LiveWorx show, you're watching theCUBE. (electronic music)
SUMMARY :
brought to you by PTC. the PTC LiveWorx conference, that you have to be 360 in your approach. I mean, it sounds so obvious. It's something that you do Is that how we should that this is going to be I believe you also wrote a I presented the book how do you deal as an organization that you keep that quality up and running. in the services of the future? is there to actually here in the United States. that caught our ear in the How do you actually make money with it? it's open source, that free to fee. I think you have to be super careful is that a good thing, a bad thing, so that they are in charge much for coming to theCUBE. We're here at the PTC LiveWorx show,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dave Vellante | PERSON | 0.99+ |
Wolfgang | PERSON | 0.99+ |
Wolfgang Ulaga | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Europe | LOCATION | 0.99+ |
20 | QUANTITY | 0.99+ |
Nespresso | ORGANIZATION | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Procter & Gamble | ORGANIZATION | 0.99+ |
Netflix | ORGANIZATION | 0.99+ |
America | LOCATION | 0.99+ |
P&G | ORGANIZATION | 0.99+ |
Stu | PERSON | 0.99+ |
Center for Services Leadership | ORGANIZATION | 0.99+ |
One | QUANTITY | 0.99+ |
Boston | LOCATION | 0.99+ |
Tide | ORGANIZATION | 0.99+ |
today | DATE | 0.99+ |
tomorrow | DATE | 0.99+ |
Service Strategy in Action | TITLE | 0.99+ |
United States | LOCATION | 0.99+ |
Today | DATE | 0.99+ |
AT&T | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
25 partners | QUANTITY | 0.98+ |
Boston, Massachusetts | LOCATION | 0.98+ |
over 10 years | QUANTITY | 0.98+ |
30 years ago | DATE | 0.98+ |
one way | QUANTITY | 0.97+ |
one | QUANTITY | 0.97+ |
Center of Services Leadership | ORGANIZATION | 0.97+ |
LiveWorx | ORGANIZATION | 0.97+ |
ASU | ORGANIZATION | 0.97+ |
each | QUANTITY | 0.94+ |
Earlier this morning | DATE | 0.93+ |
One way | QUANTITY | 0.92+ |
PTC | ORGANIZATION | 0.9+ |
360 | QUANTITY | 0.89+ |
Arizona State University | ORGANIZATION | 0.87+ |
2018 | DATE | 0.86+ |
theCUBE | ORGANIZATION | 0.86+ |
LiveWorx 18 | EVENT | 0.82+ |
this morning | DATE | 0.8+ |
Professor | PERSON | 0.75+ |
next coming years | DATE | 0.74+ |
LiveWorx | EVENT | 0.72+ |
PTC LiveWorx | EVENT | 0.66+ |
next years | DATE | 0.6+ |
once | QUANTITY | 0.58+ |
day one | QUANTITY | 0.55+ |
Chatbox | TITLE | 0.54+ |
every | QUANTITY | 0.53+ |
talk topics | QUANTITY | 0.48+ |
IOT | ORGANIZATION | 0.38+ |
Radhesh Balakrishnan, Red Hat | Red Hat Summit 2018
[Music] from San Francisco it's the covering Red Hat summit 2018 brought to you by Red Hat everyone welcome back is the cubes live coverage here in San Francisco Red Hat summit 2018 I'm Sean furry co-host of the cube with my coasts analyst this week John Troyer who's the co-founder of tech reckoning advisory and Community Development firm our next guess is red hash Balakrishnan is the general manager of OpenStack for Red Hat welcome to the cube good to see you ready to be here so OpenStack is very hot obviously with the with the with the trends we've been covering from day one been phenomenal to watch that grow and change but with kubernetes you seeing cloud native to robust communities you got application developers and you got under the hood infrastructure so congratulations and you know what's what's the impact of that what is how is OpenStack impacted by the cloud native trend and what is Red Hat doing they're the best epidermis ation of that is openshift on OpenStack if you had caught the keynotes earlier today there was a demo that we did whereby they were spawning open shifts on bare metal using OpenStack and then you run open shift on power that's what we kind of see as the normed implementation for customers looking to get - I want an open infrastructure on Prem which is OpenStack and then eventually want to get to a multi cloud application platform on top of it that makes up the hybrid cloud right so it's a essential ingredient to the hybrid cloud that customers that are trying to get to and open shifts role in this is what I'm assuming we are asked about openshift ownerships will be multi cloud from a application platform perspective right so OpenStack is all about the infrastructure so as long as you're worrying about info or deployment management lifecycle that's going to be openstax remet once you're thinking about applications themselves the packaging of it the delivery of it and the lifecycle of it then you're in openshift land so how do you bring both these things together in a way that is easier simpler and long-standing is the opportunity and the challenge in front of us so the good news is customers are already taking us there and there's a lot of production workflow is happening on OpenStack but I got to ask the question that someone might ask who hasn't been paying attention in a year or so it was thick hey OpenStack good remember that was what's new with OpenStack what would you say that person if they asked you that question about what's new with OpenStack the answer would be something along the lines of boring is the new normal right we have taken the excitement out of OpenStack you know the conversations are on containers so OpenStack has now become the open infrastructure that customers can bring in with confidence right so that's kind of the boring Linux story but you know what that's what we thrive on right our job as reddit is to make sure that we take away the complexities involved in open source innovation and make it easy for production deployment right so that's what we're doing with OpenStack too and I'm glad that in five years we've been able to get here I definitely I think along with boring gos clarity right last year the cube was that OpenStack summit will be there again in two weeks so with you and I enjoy seeing you again for it the last year there was a lot of you know containers versus there was some confusion like where people got sorted out in their head oh this is the infrastructure layer and then this is the a play I think now people have gotten it sorted out in their head open open shipped on OpenStack very clear message so a meaning of the community in two weeks in any comments on the growth of the open OpenStack community the end users that are there the the depth of experience it seemed like last year was great everywhere for OpenStack on the edge it ended you know set top devices and pull top devices all the way to OpenStack in in private data centers and and for various security or logistical reasons where is OpenStack today yeah I think that he phrased would be workload optimization so OpenStack has now evolved to become optimized for various workloads so NFV was a workload that people were talking about now people are in when customers are in production across the globe you know beat Verizon or the some of the largest telcos that we have in any and a pack as well the fact that you can actually transform the network using OpenStack has become real today now the conversation is going from core of the data center to the edge which is radio networks so the fact that you can have a unified fabric which can transcend from data center all the way to a radio and that can be OpenStack is a you know great testament to the fact that a community has rallied around OpenStack and you know delivering on features that customers are demanding pouring is the new normal of that is boring implies reliable no-drama clean you know working if you had to kind of put a priority in a list of the top things just that it are still being worked on I see the job is never done with infrastructure always evolving about DevOps certainly shows that with programmability what are the key areas still on the table for OpenStack that are that are key discussion points where there's still innovation to be done and built upon I think the first one is it's like going from a car to a self-driving car how can we get that infrastructure to autonomously manage itself we were talking about network earlier even in that context how do you get to a implementation of OpenStack that can self manage itself so there's a huge opportunity to make sure that the tooling gets richer to be able to not just deploy manage but fine-tune the infrastructure itself as we go along so clearly you know you can call it AI machine learning implementation you on OpenStack to make sure that the benefit is occurring to the administrator that's an opportunity area the second thing is the containers and OpenStack that we taught touched upon earlier OpenShift on OpenStack in many ways is going to be the cookie cutter that we're gonna see everywhere there's going to be private cloud if you've got a private cloud it's gotta be an open shift or on OpenStack and if it's not I would like to know why right it's a it becomes a de-facto standard you start to have and they enablement skills training for a few folks as you talk to the IT consumer right the the IT admins out there you know what's the message in terms of upskilling and managing say an OpenStack installation and and what does Red Hat doing to help them come along yeah so those who are comfortable with Braille Linux skills are able to graduate easily over to OpenStack as well so we've been nationally focused on making sure that we are training the loyal Linux installed based customers and with the addition of the fact that now the learnings offerings that we have are not product specific but more at the level of the individual can get a subscription for all the products that reddit has you could get learning access to learning so that does help make sure that people are able to graduate or evolve from being able to manage Linux to manage a cloud and the and face the brave new world of hybrid cloud that's happening in front of our eyes but let's talk about the customer conversations you're having as the general manager of the stack red hat what what are the what's the nature of the conversations are they talking about high availability performance or is it more under the hood about open shift and containers or they range across the board depending upon the use cases whose they do range but the higher or the bit is that applications is where the focuses well closes where the focus is so the infrastructure in many ways needs to get out of the way to make sure that the applications can be moving from the speed of thought to execution right so that's where the customer conversations are going so which is kind of ties back to the boring is the new normal as well so if we can make sure that OpenStack is boring enough that all the energy is focused on developing applications that are needed for the enterprise then I think the job is done self-driving OpenStack it means when applications are just running and that self-healing concepts you were talking about automation is happening exactly that's the opportunity in front of us so you know it's by N's code by code we will get there I think I love the demo this morning which showed that off right bare metal stacks sitting there on stage from different vendors right actually you're the you know OpenStack is the infrastructure layer so it's it's out there with servers from Dell and HP II and others right and then booting up and then the demo with the with Amadeus showing you know OpenStack and public clouds with openshift all on top also showed how it fit into this whole multi cloud stack is it is it challenging to to be the layer with with the hardware hardware heterogeneous enough at this point that OpenStack can handle it are there any issues they're working with different OEMs and if you look at the history of red add that's what we've done right so the rel became rel because of the fact that we were able to abstract multi various innovation that was happening at the so being able to bring that for OpenStack is like we've got you know that's the right to swipe the you know employee card if you will right so I think the game is going back to what you were only talking about the game is evolving to now that you have the infrastructure which abstracts the compute storage networking etc how do you make sure that the capacity that you've created it's applied to where the need is most right for example if you're a telco and if you're enabling Phi G IOT you want to make sure that the capacity is closest to where the customer fool is right so being able to react to customer needs or you know the customers customers needs around where the capacity has to be for infrastructure is the programmability part that we've you know we can enable right so that's a fascinating place to get into I know you are technology users yourself right so clearly you can relate to the fact that if you can make available just enough technology for the right use case then I think we have a winner at hand yeah and taking as you said taking the complexity out of it also means automating away some of those administrative roles and moving to the operational piece of it which developers want to just run their code on it kind of makes things go a little faster and and so ok so I get that and I but I got to ask the question that's more Redhead specific that you could weigh in on this because this is a real legacy question around red hats business model you guys have been very strong with rel the the the record speaks for itself in terms of warranty and and serviceability you guys give like I mean how many years is it now like a zillion years that support for rel OpenStack is boring is Red Hat bringing that level of support now how many years because if I use it I'm gonna need to have support what's the Red Hat current model on support in terms of versioning xand the things that you guys do with customers thank you for bringing that up what have you been consciously doing is to make sure that we have lifecycle that is meeting two different customers segments that we are talking about one is customers who want to be with the latest and the greatest closer to the trunk so every six months there is an openstack released they want to be close enough they want to be consuming it but it's gotta be production ready in their environment the second set of customers are the ones who are saying hey look the infrastructure part needs to stay there cemented well and then every maybe a couple of years I'll take a real look at you know bringing in the new code to light up additional functionality or on storage or network etc so when you look at both the camps then the need is to have a dual life cycle so what we have done is with OpenStack platform 10 which is two years ago we have a up to five year lifecycle release so obvious that platform 10 was extensible up to five years and then every two releases from there 11 and 12 are for just one year alone and then we come back to again a major release which is OSP 13 which will be another five years I know it can be and they get the full Red Hat support that they're used to that's right so there are years that you're able to either stay at 10 or you could be the one who's going from 10 to 11 to 12 to 13 there are some customers were saying staying at 10 and then I won't go over to 13 and how do you do that we'll be a industry first and that's what we have been addressing from an engineering perspective is differentiated - I think that's a good selling point guy that's always a great thing about Red Hat you guys have good support give the customers confidence or not you guys aren't new to the enterprise and these kinds of customers so right - what are you doing here at the show red hat summit 2018 what's on your agenda what some of the hallway conversations you're hearing customer briefings obviously some of the keynote highlights were pretty impressive what going on for you it's a Volvo OpenShift on OpenStack that's where the current and the future is and it's not something that you have to wait for the reality is that when you're thinking about containers you might be starting very small but the reality is that you're going to have a reasonably sized farm that needs to power all the innovation that's going to happen in your organization so given that you need to have an infrastructure management solution thought through and implemented on day one itself so that's what OpenStack does so when you can roll out OpenStack and then on top of it bring in openshift then you not only have to you're not only taking care of today's needs but also as you scale and back to the point we were talking about moving the capacity where is needed you have a elastic infrastructure that can go where the workload is demanding the most attention so here's another question that might come up from when I asked you and you probably got this but I'll just bring it up anyway I'm a customer of OpenStack or someone kicking the tires learning about deploying up a stack I say ritesh what is all this cloud native stuff I see kubernetes out there what does that mean for me visa V OpenStack and all the efforts going on around kubernetes and above and the application pieces of the stack right let's say if you looked at the rear view mirror five years ago when we looked at cloud native as a contract the tendency was that hey look I need to be developing net new applications that's the only scenario where cloud native would be thought thought off now fast forward five years now what has happened is that cloud native and DevOps culture has become the default if you are a developer if you're not sort of in that ploughed native and DevOps then you are working on yesterday's problem in many ways so if digital transformation is urging organizations to drive - as cloud native applications then cloud native applications require an infrastructure that's fungible inelastic and that's how openshift on OpenStack again coming back to the point of that's the future that customers can build on today and moving forward so summarize I would say what I heard you saying periphery if I'm wrong open ship is a nice bridge layer or an up bridge layer but a connection point if you bet on open ship you're gonna have best of both worlds that that's a good summary and you gotta be you know betting on open first of all is the first order a bet that you should be making once you've bet on open then the question is you gotta bet on an infrastructure choice that's OpenStack and you gotta bet on an application platform choice that's open shift once you've got both of these I think then the question is what are you going to do with your spare time okay count all the cash you're making from all the savings but also choice is key you get all this choice and flexibility is a big upside I would imagine British thanks for coming on sharing your insight on the queue appreciate it thanks for letting us know what's going on and best of luck see you in Vancouver thank you for having okay so the cube live coverage here in San Francisco for Red Hat summit 2018 John four with John Troy you're more coverage after this short break
**Summary and Sentiment Analysis are not been shown because of improper transcript**
ENTITIES
Entity | Category | Confidence |
---|---|---|
John Troyer | PERSON | 0.99+ |
Radhesh Balakrishnan | PERSON | 0.99+ |
Vancouver | LOCATION | 0.99+ |
Verizon | ORGANIZATION | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
five years | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Linux | TITLE | 0.99+ |
one year | QUANTITY | 0.99+ |
Volvo | ORGANIZATION | 0.99+ |
last year | DATE | 0.99+ |
last year | DATE | 0.99+ |
second set | QUANTITY | 0.99+ |
OSP 13 | TITLE | 0.99+ |
ORGANIZATION | 0.98+ | |
five years ago | DATE | 0.98+ |
OpenStack | ORGANIZATION | 0.98+ |
John Troy | PERSON | 0.98+ |
OpenShift | TITLE | 0.98+ |
two different customers | QUANTITY | 0.98+ |
two years ago | DATE | 0.98+ |
two weeks | QUANTITY | 0.98+ |
second thing | QUANTITY | 0.97+ |
both | QUANTITY | 0.97+ |
yesterday | DATE | 0.97+ |
OpenStack | TITLE | 0.97+ |
first one | QUANTITY | 0.97+ |
Sean | PERSON | 0.97+ |
one | QUANTITY | 0.96+ |
both worlds | QUANTITY | 0.96+ |
platform 10 | TITLE | 0.96+ |
this week | DATE | 0.96+ |
telco | ORGANIZATION | 0.96+ |
Amadeus | ORGANIZATION | 0.96+ |
today | DATE | 0.96+ |
13 | DATE | 0.95+ |
10 | DATE | 0.95+ |
HP II | ORGANIZATION | 0.95+ |
first order | QUANTITY | 0.94+ |
John four | PERSON | 0.94+ |
Red Hat summit 2018 | EVENT | 0.93+ |
a year | QUANTITY | 0.93+ |
zillion years | QUANTITY | 0.92+ |
first | QUANTITY | 0.92+ |
Phi G IOT | TITLE | 0.91+ |
red hash | ORGANIZATION | 0.91+ |
up to five years | QUANTITY | 0.91+ |
Redhead | ORGANIZATION | 0.91+ |
Red Hat summit 2018 | EVENT | 0.9+ |
Red Hat Summit 2018 | EVENT | 0.9+ |
OpenStack | EVENT | 0.9+ |
DevOps | TITLE | 0.89+ |
Red Hat summit 2018 | EVENT | 0.89+ |
openshift | TITLE | 0.89+ |
11 | DATE | 0.89+ |
12 | DATE | 0.87+ |
up to five year | QUANTITY | 0.87+ |
folks | QUANTITY | 0.87+ |
every six months | QUANTITY | 0.87+ |
San | LOCATION | 0.86+ |
earlier today | DATE | 0.86+ |
Alan Nance, Virtual Clarity– DataWorks Summit Europe 2017 #DW17 #theCUBE
>> Narrator: At the DataWorks Summit, Europe 2017. Brought to you by Hortonworks. >> Hey, welcome back everyone. We're here live from Munich, Germany at DataWorks 2017, Hadoop Summit formerly, the conference name before it changed to DataWorks. I'm John Furrier with my cohost Dave Vellante. Our next guest, we're excited to have Alan Nance who flew in, just for the CUBE interview today. Executive Vice President with Virtual Clarity. Former star, I call practitioner of the Cloud, knows the Cloud business. Knows the operational aspects of how to use technology. Alan, it's great to see you. Thanks for coming on the CUBE. >> Thank you for having me again. >> Great to see you, you were in the US recently, we had a chance to catch up. And one of the motivations that we talked with you today was, a little bit about some of the things you're looking at, that are transformative. Before we do that, let's talk a little about your history. And what your role is at Virtual Clarity. >> So, as you guys have, basically, followed that career, I started out in the transformation time with ING Bank. And started out, basically, technology upwards. Looking at converged infrastructure, converged infrastructure into VDI. When you've got that, you start to look at Clouds. Then you start to experiment with Clouds. And I moved from ING, from earlier experimentation, into Phillips. So, while Phillips, at that time had both the health care and lighting group. And then you start to look at consumption based Cloud propositions. And you remember the big thing that we were doing at that time, when we identified that 80% of the IT spend was non differentiating. So the thing was, how do we get away from almost a 900 million a year spend on legacy? How do we turn that into something that's productive for the Enterprise? So we spent a lot of time creating the consumption based infrastructure operating platform. A lot of things we had to learn. Because let's be honest, Amazon was still trying to become the behemoth it is now. IBM still didn't get the transition, HP didn't get it. So there was a lot of experimentation on which of the operating model-- >> You're the first mover on the operating model, The Cloud, that has scaled to it. And really differentiated services for your business, for also, cost reductions. >> Cost reductions have been phenomenal. And we're talking about halving the budget over a three year period. We're talking about 500 million a year savings. So these are big, big savings. The thing I feel we still need to tackle, is that when we re-platform your business, it should leave to agile acceleration of your growth path. And I think that's something that we still haven't conquered. So I think we're getting better and better at using platforms to save money, to suppress the expenditure. What we now need to do is to convert that into growth platform business. >> So, how about the data component? Because you were CIO of infrastructure at Phillips. But lately, you've been really spending a lot of time thinking about the data, how data adds value. So talk about your data journey. >> Well if I look at the data journey, the journey started for me, with, basically, a meeting with Tom Ritz in 2013. And he came with a very, very simple proposition. "You guys need to learn how to create "and store, and reason over data, "for the benefit of the Enterprise." And I think, "Well that's cool." Because up until that point, nobody had really been talking about data. Everyone was talking about the underlying technologies of the Cloud, but not really of the data element. And then we had a session with JP Rangaswami, who was at Salesforce, who basically, also said, "Well don't just think "about data lakes, but think also "about data streams and data rivers. "Because the other thing that's "going to happen here is that data's "not going to be stagnant in a company like yours." So we took that, and what happened, I think, in Phillips, which I think you see in a lot of companies, is an explosion across the Enterprise. So you've got people in social doing stuff. You got CDO's appearing. You've got the IOT. You've got the old, legacy systems, the systems of record. And so you end up with this enormous fragmentation of data. And with that you get a Wild West of what I call data stewardship. So you have a CDO who says, "Well I'm in charge of data." And you got a CMO who says, "Well I'm in charge of marketing data." Or you've got a CSO, says, "Yeah, "but I'm the security data guy." And there's no coherence, in terms of moving the Enterprise forward. Because everybody's focused on their own functionality around that data and not connecting it. So where are we now? I think right now we have a huge proliferation of data that's not connected, in many organizations. And I think we're going to hybrid but I don't think that's a future proof thing for most organizations. >> John: What do you mean by that? >> Well, if I look at what a lot of those suppliers are saying, they're really saying, "The solution "that you need, is to have a hybrid solution "between the public Cloud and your own Cloud." I thought, "But that's not the problem "that we need to solve." The problem that we need to solve is first of all, data gravity. So if I look at all the transformations that are running into trouble, what do they forget? When we go out and do IOT, when we go out and do social media analysis, it all has to flow back into those legacy systems. And those legacy systems are all going to be in the old world. And so you get latency issues, you get formatting issues. And so, we have to solve the data gravity issue. And we have to also solve this proliferation of stewardship. Somebody has to be in charge of making this work. And it's not going to be, just putting in a hybrid solution. Because that won't change the operating model. >> So let me ask the question, because on one of the things you're kind of dancing around, Dave brought up the data question. Something that I see as a problem in the industry, that hasn't yet been solved, and I'm just going to throw it out there. The CIO has always been the guy managing IT. And then he would report to the CFO, get the budget, blah, blah, blah. We know that's kind of played out its course. But there's no operational playbook to take the Cloud, mobile data at scale, that's going to drive the transformative impact. And I think there's some people doing stuff here and there, pockets. And maybe there's some organizations that have a cadence of managers, that are doing compliance, security, blah, blah, blah. But you have a vision on this. And some information that you're tracking around. An architecture that would bring it to scale. Could you share your thoughts on this operational model of Cloud, at a management level? >> Well, part of this is also based on your own analyst, Peter Boris. When he says, "The problem with data "is that its value is inverse to its half life." So, what the Enterprise has to do is it has to get to analyzing and making this data valuable, much, much faster then it is right now. And Chris Sellender of Unifi recently said, "You know, the problem's not big data. "The problem's fast data." So, now, who is best positioned in the organization to do this? And I believe it's the COO. >> John: Chief Operating Officer? >> Chief Operating Officer. I don't think it's going to be the CIO. Because I'm trying to figure out who's got the problem. Who's got the problem of connecting the dots to improving the operation of the company? Who is in charge of actually creating an operating platform that the business can feed off of? It's the C Tower. >> John: Why not the CFO? >> No, I think the CFO is going to be a diminishing value, over time. Because a couple of reasons. First of all, we see it in Phillips. There's always going to be a fiduciary role for the CFO. But we're out of the world of capex. We're out of the world of balancing assets. Everything is now virtual. So really, the value of a CFO, as sitting on the tee, if I use the racquetball, the CFO standing on the tee is not going to bring value to the Enterprise. >> And the CIO doesn't have the business juice, is your argument? Is that right? >> It depends on the CIO. There are some CIO's out there-- >> Dave: But in general, we're generalizing. >> Generally not. Because they've come through the ranks of building applications, which now has to be thrown away. They've come through the ranks of technology, which is now less relevant. And they've come through the ranks of having huge budgets and huge people to deploy certain projects. All of that's going away. And so what are you left with? Now you're left with somebody who absolutely has to understand how to communicate with the business. And that's what they haven't done for 30 years. >> John: And stream line business process. >> Well, at least get involved in the conversation. At least get involved in the conversation. Now if I talk to business people today, and you probably do too, most of them will still say there's this huge communication gulf. Between what we're trying to achieve and what the technology people are doing with our goals. I mean, I was talking to somebody the other day. And this lady heads up the sales for a global financial institution. She's sitting on the business side of this. And she's like, "The conversation should be "about, if our company wants to improve "our cost income ratio, and they ask me, "as sales to do it, I have to sell 10 times "more to make a difference. "Then if IT would save money. "So for every Euro they save. "And give me an agile platform, "is straight to the bottom line. "Every time I sell, because of our "cost income ratio, I just can't sell against that. "But I can't find on the IT side, "anybody who, sort of, gets my problem. "And is trying to help me with it." And then you look at her and what? You think a hybrid solution's going to help her? (laughs) I have no idea what you're talking about. >> Right, so the business person here then says, "I don't really care where it runs." But to your point, you care about the operational model? >> Alan: Absolutely. >> And that's really what Cloud should be, right? >> I think everybody who's going to achieve anything from an investment in Cloud, will achieve it in the operating world. They won't just achieve it on the cost savings side. Or on making costs more transparent, or more commoditized. Where it has to happen is in the operating model. In fact, we actually have data of a very large, transportation, logistics company, who moved everything that they had, in an attempt to be in a zero Cloud. And on the benchmark, saved zero. And they saved zero because they weren't changing the operating model. So they were still-- >> They lifted and shifted, but didn't change the operational mindset. >> Not at all. >> But there could have been business value there. Maybe things went faster? >> There could have been. >> Maybe simpler? >> But I'm not seeing it. >> Not game changing. >> Not game changing, certainly yes. >> Not as meaningful, it was a stretch. >> Give an example of a game changing scenario. >> Well for me, and I think this is the next most exciting thing. Is this idea of platforms. There's been an early adoption of this in Telco. Where we've seen people coming in and saying, "If you stock all of this IT, as we've known it, "and you leverage the ideas of Cloud computing, "to have scalable, invisible, infrastructure. "And you put a single platform on top of it "to run your business, you can save money." Now, I've seen business cases where people who are about to embark on this program are taking a billion a year out of their cost base. And in this company, it's 1/7th of their total profit. That's a game changer, for me. But now, who's going to help them do that? Who's going to help them-- >> What's the platform look like? >> And a million's a lot of money. >> Let's go, grab a sheet of paper how we-- >> So not everybody will even have a billion-- >> But that gets the attention of certainly, the CEO, the COO, CFO says, "Tell me more." >> You're alluding to it, Dave. You need to build a layer to punch, to doing that. So you need to fix the data stewardship problem. You have to create the invisible infrastructure that enables that platform. And you have to have a platform player who is prepared to disrupt the industry. And for me-- >> Dave: A Cloud player. >> A Cloud player, I think it's a born in the Cloud player. I think, you know, we've talked about it privately. >> So who are the forces to attract? You got Microsoft, you got AWS, Google, maybe IBM, maybe Oracle. >> See, I think it's Google. >> Dave: Why, why do you think it's Google? >> I think it's because, the platforms that I'm thinking of, and if I look in retail, if I look in financial services, it's all about data. Because that's the battle, right. We all agree, the battle's on data. So it's got to be somebody who understands data at scale, understands search at scale, understands deep learning at scale. And understands technology enough to build that platform and make it available in a consumption model. And for me, Google would be the ideal player, if they would make that step. Amazon's going to have a different problem because their strategy's not going down that route. And I think, for people like IBM or Oracle, it would require cannibalizing too much of their existing business. But they may dally with it. And they may do it in a territory where they have no install base. But they're not going to be disrupting the industry. I just don't think it's going to be possible for them. >> And you think Google has the Enterprise chops to pull it off? >> I think Google has the platform. I would agree with Alan on this. Something, I've been very critical on Google. Dave brings this up because he wants me to say it now, and I will. Google is well positioned to be the platform. I am very bullish on Google Cloud with respect to their ability to moon shot or slingshot to the future faster, than, potentially others. Or as they say in football, move the goal posts and change the game. That being said, where I've been critical of Google, and this is where, I'll be critical, is their dogma is very academic, very, "We're the technology leader, "therefore you should use Google G Suite." I think that they have to change their mindset, to be more Enterprise focused, in the sense of understand not the best product will always win, but the B chip they have to develop, have to think about the Enterprise. And that's a lot of white glove service. That's a lot of listening. That's not being too arrogant. I mean, there's a borderline between confidence and arrogance. And I think Google crosses it a little bit too much, Dave. And I think that's where Google recognizes, some people in Google recognize that they don't have the Enterprise track record, for sure on the sales side. You could add 1,000 sales reps tomorrow but do they have experience? So there's a huge translation issue going on between Google's capability and potential energy. And then the reality of them translating that into an operational footprint. So for them to meet the mark of folks like you, you can't be speaking Russian and English. You got to speak the same language. So, the language barrier, so to speak, the linguistics is different. That's my only point. >> I sense in your statements, there's a frustration here. Because we know that the key to some really innovative, disruption is with Google. And I think what we'd all like to do, even while I was addressing the camera. I'd love to see Diane, who does understand Enterprise, who's built a whole career servicing Enterprises extremely well, I'd like to see a little bit of a glimpse of, "We are up for this." And I understand when you're part of the bigger Google, the numbers are a little bit skewered against you to make a big impact and carry the firm with you. But I do believe there's an enormous opportunity in the Enterprise space. And people are just waiting for this. >> Well Diane Greene knows the Enterprise. So she came in, she's got to change the culture. And I know she's doing it. Because I have folks at Google, that I know that work there, that tell me privately, that it's happening, maybe not fast enough. But here's the thing. If you walked in the front door at Google, Alan Nance, this is my point, and he said, "I have experience and I have a plan "to build a platform, to knock a billion "dollars off seven companies, that I know, personally. "That I can walk in and win. "And move a billion dollars to their "bottom line with your platform." They might not understand what that means. >> I don't know, you know I was at Google Next a few weeks ago, last month. And I thought they were more, to your point, open to listening. Maybe not as arrogant as you might be presenting. And somewhat more humble. Still pretty ballsy. But I think Google recognizes that it needs help in the Enterprise. And here's why. Something that we've talked about in the past, is, you've got top down initiatives. You've got bottom up initiatives. And you've got middle out. What frequently happens, and I'd love for you to describe your experiences. The leaders say, the top CXO's say, "Okay we're going." And they take off and the organization doesn't follow them. If it's bottoms up, you don't have the top down in premature. So how do you address that? What are you seeing and how do you address that problem? >> So I think that's a really, really good observation. I mean, what I see in a lot of the big transformations that I've been involved in, is that speed is of the essence. And I think when CEO's, because usually it's the CEO. CEO comes in and they think they've got more time than they actually have to make the impact in the Enterprise. And it doesn't matter if they're coming in from the outside or they've grown up. They always underestimate their ability to do change, in time. And now what's changed over the past few years, is the average tenure of a CEO is six years. You know, I mean, Jack Welch was 20 years at GE. You can do a lot of damage in 20 years. And he did a lot of great things at GE over a 20 year period. You've only got six years now. And what I see in these big transformation programs is they start with a really good vision. I mean Mackenzie, Bain, Boston. They know the essence of what needs to happen. >> Dave: They can sell the dream. >> They can sell the dream. And the CEO sort of buys into it. And then immediately you get into the first layer, "Okay, okay, so we've got to change the organization." And so you bring in a lot of these companies that will run 13 work streams over three years, with hundreds of people. And at the end of that time, you're almost halfway through your tenure. And all you've got is a new design. Or a new set of job descriptions or strategies. You haven't actually achieved anything. And then the layer down is going to run into real problems. One of the problems that we had at the company I worked at before, was in order to support these platforms you needed really good master data management. And we suddenly realized that. And so we had to really put in an accelerated program to achieve that, with Impatica. We did it, but it cost us a year and 1/2. At a bank I know, they can't move forward because they're looking at 700 million of technology debt, they can't get past. So they end up going down a route of, "Maybe one of these big suppliers "can buy our old stuff. "And we can tag on some transformational "deal at the back end of that." None of those are working. And then what happens is, in my mind, if the CEO, from what I see, has not achieved escape velocity at the end of year three. So he's showing the growth, or she's showing the digital transformation, it's kind of game over. The Enterprise has already figured out they've stalled it long enough, not intentionally. And then we go back into an austerity program. Because you got to justify the millions you've spent in the last three years. And you've got nothing to show for it. >> And you're preparing three envelopes. >> So you got to accelerate those layers. You got to take layers out and you've got to have a really, I would say almost like, 90 day iteration plans that show business outcomes. >> But the technology layer, you can put in an abstraction layer, use APIs and infrastructure as code, all that cool stuff. But you're saying it's the organizational challenges. >> I think that's the real problem. It is the real problem, is the organization. And also, because what you're really doing in terms of the Enterprise, is you're moving from a more traditional supply chain that you own. And you've matriculated with SAP or with Oracle. Now you're talking about creating a digital value chain. A digital value chain that's much more based on a more mobile ecosystem, where you would have thin text in one area or insurance text, that have to now fit into an agile supply chain. It's all about the operating model. If you don't have people who know how to drive that, the technology's not going to help you. So you've got to have people on the business side and the technology side coming together to make this work. >> Alan, I have a question for you. What's you're prediction, okay, knowing what you know. And kind of, obviously, you have some frustrations in platforms with trying to get the big players to listen. And I think they should listen to you. But this is going to happen. So I would believe that what you're saying with the COO, operational things radically changing differently. Obviously, the signs are all there. Data centers are moving into the Cloud. I mean this is radical stuff, in a good way. And so, what's your prediction for how this plays out vis a vis Amazon Web Services, Google Cloud Platform Azure, IBM Cloud SoftLayer. >> Well here's my concern a little bit. I think if Google enters the fray I think everybody will reconfigure. Because if we'd assume that Google plays to its strengths and goes out there and finds the right partners. It's going to reconfigure the industry. If they don't do that, then what the industry's going to do is what it's done. Which means that the platforms are going to be hybrid platforms that are dominated by the traditional players. By the SOPs, by the Oracles, by the IBMs. And what I fear is that there may actually be a disillusionment. Because they will not bring the digital transformation and all the wonderful things that we all know, are out there to be gained. So you may get, "We've invested all this money." You see it a little bit with big data. "I've got this huge layer. "I've got petabytes. "Why am I not smarter? "Why is my business not going so much better? "I've put everything in there." I think we've got to address the operating problem. And we have to find a dialogue at the C Suite. >> Well to your point, and we talked about this. You know, you look at the core of Enterprise apps, the Oracle stuff is not moving in droves, to the Cloud. Oracle's freezing the market right now. Betting that it can get there before the industry gets there. And if it does-- >> Alan: It's not. >> And it might, but if it does, it's not going to be that radical transformation you're prescribing. >> They have too much to lose. Let's be honest, right. So Oracle is a victim of it's own success, pretty much like SAP. It has to go to the Cloud as a defensive play. Because the last thing either of those want is to be disintermediated by Amazon. Which may or may not happen anyway. Because a lot of companies will disintermediate if they can. Because the licensing is such a painful element for most enterprises, when they deal with these companies. So they have to believe that the platform is not going to look like that. >> And they're still trying to figure out the pricing models, and the margin models, and Amazon's clearly-- >> You know what's driving the pricing models is not the growth on the consumer side. >> Right, absolutely. >> That's not what's driving it. So I think we need another player. I really think we need another player. If it's not Google, somebody else. I can't think who would have the scale, the money to-- >> The only guys who have the scale, you got 10 cents, maybe a couple China Clouds, maybe one Japan Cloud and that's it. >> To be honest, you raise a good point. I haven't really looked at the Ali Baba's and the other people like that who may pick up that mantle. I haven't looked at them. Ali Baba's interesting, because just like Amazon, they have their own business that runs on platforms. And a very diverse business, which is growing faster than Amazon and is more profitable than Amazon. So they could be interesting. But I'm still hopeful. We should figure this out. >> Google should figure it out. You're absolutely right. They're investing, and I thought they put forth a pretty good messaging at the Google Next. You covered it remotely but I think they understand the opportunity. And I think they have the stomach for it. >> We had reporters there as well, at the event. We just did, they came to our studio. Google is self aware that they need to work on the Enterprise. I think the bigger thing that you're highlighting is the operational model is shifting to a scale point where it's going to change stewardship and COO meaning to be, I like that. The other thing I want to get your reaction to is something I heard this morning, on the CUBE from Sean Connelly. Which that goes with some of the things that we're seeing where you're seeing Cloud becoming a more centralized view. Where IOT is an Edge case. So you have now, issues around architectural things. Your thoughts and reaction to this balance between Edge and Cloud. >> Well I think this is where you're also going to have your data gravity challenge. So, Dave McCrory has written a lot about the concept of data gravity. And in my mind, too many people in the Enterprise don't understand it. Which is basically, that data attracts more data. And more data you have, it'll attract more. And then you create all these latency issues when you start going out to the Edge. Because when we first went out to the Edge I think, even at Phillips, we didn't realize how much interaction needed to come back. And that's going to vary from company to company. So some company's are going to want to have that data really quickly because they need to react to it immediately. Others may not have that. But what you do have is you have this balancing act. About, "What do I keep central? "And what do I put at the Edge?" I think Edge Technology is amazing. And when we first looked at it, four years ago, I mean, it's come such a long way. And what I am encouraged by is that, that data layer, so the layer that Sean talks about, there's a lot of exciting things happening. But again, my problem is what's the Enterprise going to do with that? Because it requires a different operating model. If I take an example of a manufacturing company, I know a manufacturing company right now that does work in China. And it takes all the data back to its central mainframes for processing. Well if you've got the Edge, you want to be changing the way you process. Which means that the decision makers on the business need to be insitu. They need to be in China. And we need to be bringing, systems of record data and combining it with local social data and age data, so we get better decisions. So we can drive growth in those areas. If I just enable it with technology but don't change the business model the business is not going to grow. >> So Alan, we always loved having you on. Great practitioner, but now you've kind of gone over to the dark side. We've heard of a company called Virtual Clarity. Tell us about what you're doing there. >> So what we're vested in, what I am very much vested in, with my team at Virtual Clarity, is creating this concept of precision guided transformation. Where you work on the business, on what are the outcomes we really need to get from this? And then we've combined, I would say it's like a data nerve center. So we can quickly analyze, within a matter of weeks, where we are with the company, and what routes to value we can create. And then we'll go and do it. So we do it in 90 day increments. So the business now starts to believe that something's really going to happen. None of these big, insert miracle here after three year programs. But actually going out and doing it. The second thing that I think that we're doing that I'm excited about is bringing in enlightened people who represent the Enterprise. So, one of my colleagues, former COO of Unilever, we just brought on a very smart lady, Dessa Grassa, who was the CDO at JP Morgan Chase. And the idea is to combine the insights that we have on the demand side, the buy side, with the insights that we have on the technology side to create better operating models. So that combination of creating a new view that is acceptable to the C Suite. Because these people understand how you talk to them. But at the same time, runs on this concept of doing everything quickly. That's what we're about right now. >> That's awesome, we should get you hooked up with our new analyst we just hired, James Corbelius, from IBM. Was focusing on exactly that. The intersections of developers, Cloud, AI machine learning and data, all coming together. And IOT is going to be a key application that we're going to see coming out of that. So, congratulations. Alan thank you for spending the time to come in. >> Thanks for allowing me. >> To see us in the CUBE. It's the CUBE, bringing you more action. Here from DataWorks 2017. I'm John Furrier with my cohost Dave Vallante, here on the CUBE, SiliconANGLE Media's flagship program. Where we've got the events, straight from SiliconANGLE. Stay with us for more great coverage. Day one of two days of coverage at DataWorks 2017. We'll be right back.
SUMMARY :
Brought to you by Hortonworks. Thanks for coming on the CUBE. And one of the motivations that So the thing was, how do we get away from that has scaled to it. And I think that's something that we So, how about the data component? of moving the Enterprise forward. And it's not going to be, just So let me ask the question, because on And I believe it's the COO. I don't think it's going to be the CIO. So really, the value of a CFO, as sitting It depends on the CIO. Dave: But in general, And so what are you left with? "But I can't find on the IT side, Right, so the business And on the benchmark, saved zero. change the operational mindset. But there could have Give an example of a And in this company, it's But that gets the And you have to have a platform player a born in the Cloud player. You got Microsoft, you got AWS, Google, So it's got to be somebody who understands So, the language barrier, so to speak, And I think what we'd all like to do, But here's the thing. The leaders say, the top CXO's say, is that speed is of the essence. And at the end of that time, you're almost You got to take layers But the technology It is the real problem, And I think they should listen to you. the industry's going to in droves, to the Cloud. it's not going to be that radical So they have to believe that the platform is not the growth on the consumer side. the scale, the money to-- you got 10 cents, maybe I haven't really looked at the Ali Baba's And I think they have the stomach for it. is the operational model is shifting the business is not going to grow. kind of gone over to the dark side. And the idea is to combine the insights the time to come in. It's the CUBE, bringing you more action.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Alan | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Virtual Clarity | ORGANIZATION | 0.99+ |
Chris Sellender | PERSON | 0.99+ |
Diane Greene | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
Dave Vallante | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Jack Welch | PERSON | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
Dave McCrory | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Dessa Grassa | PERSON | 0.99+ |
Peter Boris | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
2013 | DATE | 0.99+ |
China | LOCATION | 0.99+ |
JP Rangaswami | PERSON | 0.99+ |
10 times | QUANTITY | 0.99+ |
James Corbelius | PERSON | 0.99+ |
HP | ORGANIZATION | 0.99+ |
Unifi | ORGANIZATION | 0.99+ |
Sean | PERSON | 0.99+ |
Diane | PERSON | 0.99+ |
six years | QUANTITY | 0.99+ |
Alan Nance | PERSON | 0.99+ |
Phillips | ORGANIZATION | 0.99+ |
US | LOCATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
ING Bank | ORGANIZATION | 0.99+ |
700 million | QUANTITY | 0.99+ |
JP Morgan Chase | ORGANIZATION | 0.99+ |
10 cents | QUANTITY | 0.99+ |
20 years | QUANTITY | 0.99+ |
Sean Connelly | PERSON | 0.99+ |
Unilever | ORGANIZATION | 0.99+ |
90 day | QUANTITY | 0.99+ |
30 years | QUANTITY | 0.99+ |
80% | QUANTITY | 0.99+ |
GE | ORGANIZATION | 0.99+ |
IBMs | ORGANIZATION | 0.99+ |
last month | DATE | 0.99+ |
ING | ORGANIZATION | 0.99+ |
Tom Ritz | PERSON | 0.99+ |
three year | QUANTITY | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Val Bercovici, CNCF - Google Next 2017 - #GoogleNext17 - #theCUBE
>> Announcer: Live, from Silicon Valley, it's the Cube. Covering Google Cloud Next 17. (ambient music) >> Okay, welcome back everyone. We are here live in Palo Alto for a special two days of coverage of Google Next 2017 events in San Francisco. Sold out, 10,000 plus people. Yeah, really, an amazing turn of events. Amazon Web Services Reinvent had 36,000, Google's nipping at their heels, although different, we're going to break down the differences with Google versus Amazon because they're really two different things and again, this is Cube coverage here in Palo Alto studio, getting reaction. Sponsored by Intel, thanks, Intel, for allowing us to continue the wall-to-wall coverage of the key events in the tech industry. Our next guest is Val Bercovici who's the boardmember of the Cloud Native Compute Foundation, boardmember. >> That's right. >> Welcome back, you were here last week from Mobile World Congress, great to see you. Silicon contributor, what your reaction to the Google keynote, Google news? Not a lot of news, we saw the SAP, that was the biggest news and the rest were showcasing customers, most of the customers were G Suite customers. >> Yeah, exactly. So, I would say my first reaction is bit of a rough keynote, you know, there's definitely not as quit as much polish as Microsoft had in their heyday and of course, Amazon nowadays in the Cloud era. But what's interesting to me is there's the whole battle around empathy right now. So, the next gen developers and the Clouderati talk about user empathy and that means understanding the workflow of the user and getting the user to consume more of your stuff, you know, Snapchat gets user empathy for the millennial generation but anybody else. Facebook as well. So, you see Google, we emphasize, even the Google Twitter account, it emphasizes developer productivity and they have pretty strong developer empathy. But what AWS has, Amazon with AWS is enterprise empathy, right, they really understand how to package themselves and make themselves more consumable right now for a lot of mainstream enterprises, they've been doing this for three, four years at their Reinvent events now. Whereas Google is just catching up. They've got great developer empathy but they're just catching up on enterprise empathy. Those are the main differences I see. >> Yeah, I think that's an important point, Val, great, great point, I think Amazon certainly has, and I wrote this in my blog post this morning, getting a lot of reaction from that, actually, and some things I want to drill down on the network and security side. Some Google folks DMing me we're going to do that. But really, Amazon's lead is way out front on this. But the rest, you know, call 'em IBM, not in any particular, IBM, Oracle, Google, SAP, others, put Salesforces, we're talking Sass and Adobe, they're all in this kind of pack. It's like a NASCAR, you know, pack and you don't know who's going to slimshot around and get out there. But they all have their own unique use cases, they're using their own products to differentiate. We're hearing Google and again, this is a red flag for me because it kind of smells like they're hiding the ball. G Suite, I get the workplace productivity is a Cloud app, but that's not pure Cloud conversations, if you look at the Gartner, Gartner's recent, last report which I had a chance to get a peek at, there's no mention of Sassifications, Google G Suite's not in there, so the way Cloud is strictly defined doesn't even include Sass. >> Yeah. >> If you're going to include Sass, then you got to include Salesforce in that conversation or Adobe or others. >> Exactly. >> So, this is kind of an optical illusion in my mind. And I think that's something that points to Google's lack of traction on customers in the enterprise. >> This is where behind the scenes, Kubernetes, is so important and why I'm involved with the the CNCF. If anything, the first wave of Clouded option particularly by enterprise was centered around the VM model. And you know, infrastructure's a service based on VMs, Amazon, AWS is the king of that. What we're seeing right now is developers in particular that are developing the next generation of apps, most of them are already on our phones and our tablets and our houses and stuff, which is, you know, all these Echo-style devices. That is a container-based architecture that these next gen applications are based on. And so, Kubernetes, in my mind, is really nothing more than Google's attempt to create as much of a container-based ecosystem at scale so that the natural home for container-based apps will be GCP as opposed to AWS. That's the real long term play in why Google's investing so heavily in Kubernetes. >> Is that counterintuitive? Is that a good thing? I mean, it sounds like they're trying to change the goalpost, if you will, to change the game because we had Joe Arnold on, the founder of Swiftstack and you know, ultimately, you know, Clouds are Clouds and inter-Clouding and multi-Cloud is important. Does Kubernete actually help the industry? Or is that more Google specific in your mind? >> I think it will help the industry but the industry itself is moving so rapidly, we're seeing server-less right now and functions of service, and so, I think the landscape is shifting away from what we would think of as either VM or container-based infrastructure service towards having the right abstractions. What I'm seeing is that, really, even the most innovative enterprises today don't really care about their per minute or per hour cost for a cycle of computer, a byte of, you know, network transferred or stored. They care about big table, big quarry, the natural language processing, visual search, and a whole category of these AI based applications that they want to base their own new revenue-generating products and services based on. So, it's abstraction now as a new battlefield. AWS brings that cult of modularity to it, they're delivering a lot of cool services that are very high level Lambda centered based on really cool modularity, whereas Google's doing it, which is very, very elegant abstraction. It's at the developer level, at the technical level, that's what the landscape is at right now. >> Are you happy with Google's approach because I think Google actually doesn't want to be compared to AWS in a way. I mean, from what I can see from the keynote... >> Only by revenue. (laughs) >> Well, certainly, they're going to win that by throwing G Suite on it but, I mean, this is, again, a philosophy game, right? I mean, Andy Jassy is very customer focused, but they don't have their own Sass app, except for Amazon which they don't count on the Cloud. So, their success is all about customers, building on Amazon. Google actually has its own customer and they actually include that in, as does Microsoft with Office 365. >> Yeah, that's the irony, is if we go back to enterprise empathy I think it's Microsoft has that legacy of understanding the enterprise better than all the others. And they're beginning to leverage that, we're definitely seeing, as you're sliding comfortably to a number two position behind AWS, but it really does come back to, you know, are you going to lead with a propeller head lead in technology which Google clearly has, they've got some of the most superior technology, we were rattling off some the speeds and feeds that one of their product managers shared with you this morning. They've had amazing technology, that's unquestioned. But they do have also is this reputation of almost flying in rarefied air when it comes to enterprises. >> What do you mean by that? >> What I mean by that is that most enterprise IT organizations, even the progressive ones, have a hard time relating to Google technology. It's too far out there, it's too advanced, in some cases, they just can't understand it. They've never been trained in college courses on it or even post-grad courses on it. MBA is older than three years old, don't even reference the Cloud. So, there's a lot of training, a lot of knowledge that has to be, you know, conducted on the enterprise side. AWS is packaged, that technology there is the modularity in such a way that's more consumable. Not perfect, but more consumable than any other Cloud render and that's why, with an early head start, they've got the biggest enterprise traction today. >> Yeah, I mean, and I'm really bullish on Google, I love the company, I've been following them since '98, a lot of friends here at Palo Alto, a lot of Googlers living in my neighborhood, they're all around us. Larry Page, seen him around town. Great, great company and very, always been kind of like an academic, speed of academic. Very strong, technically, and that is, clearly, they're playing that card, "We have the technology." So, I would just say that, to counter that argument would be if Google, I'm Google, I'm on the team, the guy in green and you know, lookit, what I want to do is, we want to be the intel for the Cloud. So, the hard and top is we don't really care if people are trained, should be so easy to use, training doesn't matter. So, I mean, that's really more of an arrogant approach, but I don't think Google's being arrogant in the Cloud. I think that ship has sailed, I think Google has kind of been humbled in the sense, in recognizing that the enterprise is hard, they're checking the boxes. They have a partner program. >> Yeah, you're right, I mean, if you take a look at their customers today, you've got Spotify, and Snap, and Evernote, and you know, Pokemon Go and Niantic, all of the leading edge technology companies that have gone mainstream that are, you know, startup oriented Snap, of course. They're on Google Cloud. But that's not enough, you know, the enterprise, I did a seminar just last week promoting Container World with Jim Forge from ADP. The enterprise is not homogeneous, the enterprise is complicated. The L word legacy is all over, what they have to budget and plan for. So, the enterprise is just a lot more complicated than Google will acknowledge right now. And I believe if they were to humanize some of their advanced technology and package it and price it in such a way that AWS, you know, where they're seeing success, they'll accelerate their inevitable sort of leap to being one of those top three contenders. >> So, I'm just reading some of my, I'm putting together because for the Google folks, I'm going to interview them, just prepping for this, but just networking alone, isolating Cloud resources. That's hard, right? So, you know, virtual network in the Cloud, Google's got the virtual network. You get multiple IP addresses, for instance, ability to move network interfaces and IPs between instances, and AS networking support. Network traffic logging, virtual network peering, manage NAT gateways, subnet level filtering, IP V stick support, use any CIDR including RC 1918. Multiple network interface instances, I mean, this is complicated! (laughs) It's not easy so, you know, I think the strategy's going to be interesting to see how, does Google go into the point to point solution set, or they just say, "This is what we got, take it or leave it," and try to change the game? >> That's where they've been up until now and I don't think it's working because they have very formidable competitors that are not standing still. So, I think they're going to have to keep upping their game, again, not in terms of better technology but in terms of better packaging, better accessibility to their technology. Better trust, if you will, overseas. Cloud is a global game, it's not US only. And trust is so critical, there's a lot of skepticism in Europe today with the latest Wikileaks announcements, or Asia Today around. Any American based Cloud provider truly being able to isolate and protect my citizen's data, you know, within my borders. >> I think Google Cloud has one fatal flaw that I, looking at all the data, is that and the analysis that we've been looking at with Bookie Bontine and our research is that there's one thing that jumps out at me. I mean, the rest are all, I look at as, you know, Google's got such great technologies, they can move up fast, they can scale up to code. But the one thing that's interesting is their architecture, the way they handle their architecture is they can't let customers dictate data where data's stored. That is a huge issue for them. And if, to your point, if a user in Germany is using an app and it's got to stay in Germany. >> This is back to the empathy disconnect, right? As an abstraction layer for a developer, what I want is exactly what Google offers. I don't want to care as a developer where the bits and bytes are stored, I want this consistent, uniform API, I want to do cool stuff with the data. The operation side, particularly within legal parameters, regulatory parameters, you know, all sorts of other costs and quality assurance parameters, they really care about where that data is stored, and that's where having more enterprise empathy, and their thinking, and their offerings, and their pricing, and their packaging will leapfrog Google to where they want to be today. >> Val Bercovici, great analysis, I mean, I would totally agree just to lock that in, their developer empathy is so strong. And their operational one needs to be, they got a blind spot there where they got to work on that. And this is interesting because people who don't know Google are very strong operations, it's not like they don't have any ops chops. (Val laughs) They're absolutely in the five nines, they are awesome operations. But they've been operations for themselves. >> Exactly. >> So, that's the distinction you're getting at, right? >> Absolutely. >> Okay, so the next question I got to ask you is back to the developer empathy, 'cause I think it's a really big opportunity for Google. So, pointing out the fatal flaw in my opinions in the data locality thing. But I think the opportunity for Google to change the game, using the developer community opportunity because you mentioned the Kubernetes. There is a huge, open source, I don't want to say transformation but an evolution to the next generation, you're starting to see machine learning and AI start to tease out the leverage of not just data now. Data's become so massive now, you have data sets. That can be addressable and be treated like software programs. So, data as code becomes a new dynamic with AI. So, with AI, with open source, you're seeing a lot of activity, CNCF, the Cloud Native Compute Foundation, folks should check that out, that's an amazing group, analytics foundation. This is an awesome opportunity for Google to use Kubernetes as saying, "Hey, we will make orchestration of application workloads." >> Absolutely. >> This is something, Amazon's been great with open source, but they don't get a lot of love... >> Amazon has a blind spot on containers, let's not, you know, let's not call, you know, let's call it the speed of speed, let's not, you know, beat around the bush, they do have a blind spot around containers. It is something they strategically have to get a hold of, they've got some really interesting proprietary offerings. But it's not a natural home for a Docker workflow, it's not a natural home for a Kubernetes workflow yet. And it's something they have to work on and AI as a use case could not be more pertinent to business today because it's that quote, you know, "The future is here "but unevenly distributed." That's exactly where AI is today, the businesses that are figuring it out are really leaping ahead of their competitors. >> We're getting some great tweets, my phone's blowing up. Val, you've got great commentary. I want to bring up, so, I've been kind of over the top with the comment that I've been making. It's maybe mischaracterized but I'll say it again. There seems to be a Cold War going on inside the communities between, as Kubernetes have done, we've seen doc, or we've seen Docker Containers be so successful in this service list, server list vision, which is absolutely where Cloud Native needs to be in that notion of, you know, separating out fiscal gear and addressability, making it completely transparent, full dev ops, if you will. To who's going to own the orchestration and where does it sit on the stack? And with Kubernetes, to me, is interesting is that it tugs at some sacred cows in the container world. >> Yes. >> And it opens up the notion of multi-Cloud. I mean, assume latency can be solved at some point, but... >> It's actually core religion, what impressed me about he whole Kubernetes community, and community is its greatest strength, by the way, is the fact that they had a religion on multi-Cloud from day one. It wasn't about, "We'll add it later "'cause we know it's important," it's about portability and you know, even Docker lent that to the community. Portability is just a number one priority and now portability, at scale, across multiple Clouds, dynamically orchestrated, not through, you know, potential for human error, human interventions we saw last week. That the secret sauce there to stay. >> I think not only is, a Cold War is a negative connotation, but I think it's an opportunity to be sitting in the sun, if you will, on the beach with a pina colada because if you take the Kubernetes trend that's got developer empathy with portability, that speaks to what developers want, I want to have the ability to write code, ship it up to the network, and have it integrate in nicely and seamlessly so, you know, things can self-work and do all that. And AI can help in all those things. Connecting with operational challenges. So, what is, in your mind, that intersection? Because let's just say that Kubernetes is going to develop a nice trajectory which it has now and continues to be a nice way to galvanize a community around orchestration, portability, etc. Where does that intersect with some of the challenges and needs for operational effectiveness and efficiency? >> So, the dirtiest secret in that world is data gravity, rigtht? It's all well and fine to have workload portability across, you know, multiple instances and a cluster across multiple Clouds, so to speak. But data has weight, data has mass and gravity, and it's very hard to move particularly at scale. Kubernetes only in the last few releases with a furious pace in evolution, one four, one five, has a notion of provisioning persistent volumes, this thing they affectionately called pet sets that are not a stateful sets, I love that name. >> Cattle. >> Exactly. (laughs) So, Google is waking up and Kubernetes, I should say, in particular is waking up to the whole notion of managing data is really that last mile problem of Cloud portability and operational maturity. And planning around data gravity and overcoming where you can data gravity through meta-operational procedures is where this thing is going to really take off. >> I think that's where Google, I like Google's messaging, I like their posture on machine learning AI, I think that's key. But Amazon has been doing AI, they've got machine learning as a service, they've had Kineses for a while. In fact, Redshift and Kineses were their fastest growing services before Aurora became the big thing that they had. So, I think, you know, they're interested in the jets, with the trucks, and the snowmobile stuff. So I think certainly, Amazon's been doing that data and then rolling in as some sort of AI. >> And they've been humanizing it better, right? I can relate to some of Amazon's offering and sometimes I have it in the house. You know, so, the packaging and just the consumerability of these Amazon services today is ahead of where Google is and Google arguably has the superior technology. >> Yeah, and I think, you know, I was laying out my analysis of Google versus Amazon but I think it's not fair to try to compare them too much because Google is just making their opening moves on the chessboard. Because they had Diane Green, got to give her credit, she's really starting behind. And that's been talked about but they are serious, they're going to get there. The question is what does an enterprise need to do? So, your advice to enterprise would be what? Stick with the use cases that are either Google specific apps or Cloud Native, where do you go, how do you...? >> I would say to remember the lock-in days of the Linux vendors and even Microsoft in their heyday and definitely think multi-Cloud, you know, Cloud first is fine. But think, we need data first in a Cloud before I think a particular Cloud first. Always keep your options open, seek the highest levels of abstraction, particularly as you're innovating early on and fast failing in the Cloud. Don't go low right away, go low later on when you're operationalizing and scaled and looking to squeeze efficiencies out of a new product or service. >> Don't go low, you mean don't go low in the stack? >> Don't go low in the stack, exactly. Start very high in the stack. >> What would be an example? >> Lambda, you know, taking advantage of, if we bring in Kineses, IOT workflows, all sorts of sensor data coming in from the Edge. Don't code that for efficiency day one and switch to Kafka or something else that's more sophisticated, but keep it really high level as events triggering off, whether it's the IOTICK in the sensor inputs or whether it's S3 events, Dynamo, DB events. Write your functions that are very, very high level. >> Yeah. >> Get the workflows right. Pay a bit more money up front, pay premium for the fast... >> Well, there's also Bootstraps and the Training Channel Digimation, so, with Google, pick some things that are known out there. But you mentioned IOT and one of the things I was kind of disappointed in the keynote today, there wasn't much talk about IOT. You're not seeing IOT in the Google story. >> That may come up in tomorrow's keynote, it may come up tomorrow in a more technical context. But you're right, it's an area both Agar and AWS have a monster of a lead right now, as they've had really good SDKs out there to be able to create workflows without even being an expert in some of the devices that you know, you might own and maintain. >> Google's got some differentiation, they've got something, I'll highlight one that I like that I think is really compelling. Tensor flow. Tensor flow as got a lot of great traction and then Intel is writing chips with their Skylake product that actually runs much faster silicon... >> What was that, Nvidia? You know, it's a GPU game as much as a CPU game when it comes to machine learning. And it's just... >> What does that mean for you? I mean, that's exciting, you smile on that, I get geeked out on that because if you think about that, if you can have a relationship between the silicon and software, what does it mean from an impact standpoint? Do you think that's going to be a good accelerant for the game? >> Massive accelerant, you know, and this is where we get into sort of more rarefied air with Elon Musk's quote around the fact we'll need universal income for society. There a lot of static tasks that are automated today. There's more and more dynamic tasks now that these AI algorithms, through machine learning, can be trained to conduct in a very intelligent manner. So, more and more task based work all over the world, including in a robotic context but also call centers, stock brokerage, for example, it's been demonstrated that AI ML algorithms are superior to humans nine times out of ten in terms of recommending stocks. So, there's a lot of white collars, while it's blue collared work that just going to be augmented and then eliminated with these technologies and the fact that you have major players, economies at scales such as Intel and Nvidia and so forth accelerating that, making it affordable, fast, low power in certain edge context. That's, you know, really good for the industry. >> So, day one of two days of coverage here with Google, just thoughts real quick on what Google needs to do to really conquer the enterprise and really be credible, viable, successful, number two, or leader in the enterprise? >> I'm a big fan, you know, I've had personal experiences with fast following as opposed to leading and innovating sometimes in terms of getting market traction. I think they should unabashedly, unashamedly examine what Microsoft or what Amazon are doing right in the Cloud. Because you know, simple things like conducting a bit more of a smooth keynote, Google doesn't seem to have mastered it yet, right now in the Cloud space. And it's not rocket science, but shamelessly copying what works, shamelessly copying the packaging and the humanization that some of the advanced technologies that Amazon and Microsoft have done in particular. And then applying their technical superiority, you know, their uptime availability advantages, their faster networks, their strong consistency which is a big deal for developers across their regions. Emphasizing their strengths after they package and make their technology more consumable. As opposed to leading where the tech specs. >> And you have a lot of experience in the enterprise, table stakes out there that are pretty obvious that they need to check the boxes on, and would be what? >> A very good question, I would say, first and foremost, you really have to focus on more, you know, transparent pricing. Think something that is a whole black art in terms of optimizing your AWS usage in this industry that's formed around that. I think Google has and they enact blogs advertising a lot of advantages they have in the granularity, in the efficiency of their auto scaling up and down. But businesses don't really map that, they don't think of that first even though it can save them millions of dollars as they do move to Cloud first approaches. >> Yeah and I think Google got to shake that academic arrogance, in a way, that they've had a reputation for. Not that that's a bad thing, I'll give you an example, I love the fact that Google leads a lot of price performance on many levels in the Cloud, yet their SLAs are kind of wonky here and there. So, it's like, okay, enterprises like SLAs. You got to nail that. And then maybe keep their price a little high here, it can make more money, but... So, you were saying, is that enterprise might not get the fact that it's such a good deal. >> It's like enterprise sales 101, you talk about, you know, the operational benefits but you also talk about financial benefits and business benefits. Catching into those three contexts in terms of their technical superiority would do them a world of good as they seek more and more enterprise opportunities. >> Alright, Val Bercovici, CTO, also CTO, and also on the board of the Cloud Native Compute Foundation known as CNCF, a newly formed organization, part of the Linux Foundation. Really looking at the orchestration, looking at the containers, looking at Kubernetes, looking at a whole new world of app enablement. Val, thanks for the company, great to see you. Turning out to be guest contributor here on the Cube studio, appreciate his time. This is the Cube, two days of live coverage. Hope to have someone from Google on the security and network side coming in and calling in, we're going to try to set that up, a lot of conversations happening around that. Lot of great stuff happening at Google Next, we've got all the wall-to-wall coverage, reporters on the ground in San Francisco as well as analysts. And of course, in studio reaction here in Palo Alto. We'll be right back. (ambient music)
SUMMARY :
Announcer: Live, from Silicon Valley, it's the Cube. in the tech industry. and the rest were showcasing customers, So, the next gen developers and the Clouderati But the rest, you know, call 'em IBM, then you got to include Salesforce in that conversation And I think that's something that points to that are developing the next generation of apps, the goalpost, if you will, to change the game It's at the developer level, at the technical level, I think Google actually doesn't want to (laughs) and they actually include that in, Yeah, that's the irony, that has to be, you know, conducted on the enterprise side. I'm on the team, the guy in green and you know, lookit, and price it in such a way that AWS, you know, because for the Google folks, I'm going to interview them, So, I think they're going to have to keep upping their game, and the analysis that we've been looking at you know, all sorts of other costs They're absolutely in the five nines, Okay, so the next question I got to ask you This is something, Amazon's been great with open source, it's that quote, you know, "The future is here in that notion of, you know, I mean, assume latency can be solved at some point, but... and community is its greatest strength, by the way, and continues to be a nice way to So, the dirtiest secret in that world where you can data gravity So, I think, you know, they're interested in the jets, and just the consumerability of these Amazon services Yeah, and I think, you know, and definitely think multi-Cloud, you know, Don't go low in the stack, exactly. Lambda, you know, taking advantage of, for the fast... Bootstraps and the Training Channel Digimation, that you know, you might own and maintain. that I think is really compelling. And it's just... and the fact that you have major players, that some of the advanced in the granularity, in the efficiency I love the fact that Google but you also talk about financial benefits CTO, also CTO, and also on the board of
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
IBM | ORGANIZATION | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
Larry Page | PERSON | 0.99+ |
CNCF | ORGANIZATION | 0.99+ |
Val Bercovici | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Nvidia | ORGANIZATION | 0.99+ |
Germany | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Cloud Native Compute Foundation | ORGANIZATION | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Europe | LOCATION | 0.99+ |
Diane Green | PERSON | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Joe Arnold | PERSON | 0.99+ |
Gartner | ORGANIZATION | 0.99+ |
Linux Foundation | ORGANIZATION | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
Adobe | ORGANIZATION | 0.99+ |
Jim Forge | PERSON | 0.99+ |
two days | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
SAP | ORGANIZATION | 0.99+ |
ten | QUANTITY | 0.99+ |
nine times | QUANTITY | 0.99+ |
three | QUANTITY | 0.99+ |