Mark Nickerson & Paul Turner | VMware Explore 2022
(soft joyful music) >> Welcome back everyone to the live CUBE coverage here in San Francisco for VMware Explore '22. I'm John Furrier with my host Dave Vellante. Three days of wall to wall live coverage. Two sets here at the CUBE, here on the ground floor in Moscone, and we got VMware and HPE back on the CUBE. Paul Turner, VP of products at vSphere and cloud infrastructure at VMware. Great to see you. And Mark Nickerson, Director of Go to Mark for Compute Solutions at Hewlett-Packard Enterprise. Great to see you guys. Thanks for coming on. >> Yeah. >> Thank you for having us. >> So we, we are seeing a lot of traction with GreenLake, congratulations over there at HPE. The customers changing their business model consumption, starting to see that accelerate. You guys have the deep partnership, we've had you guys on earlier yesterday. Talked about the technology partnership. Now, on the business side, where's the action at with the HP and you guys with the customer? Because, now as they go cloud native, third phase of the inflection point, >> Yep. >> Multi-cloud, hybrid-cloud, steady state. Where's the action at? >> So I think the action comes in a couple of places. Um, one, we see increased scrutiny around, kind of not only the cost model and the reasons for moving to GreenLake that we've all talked about there, but it's really the operational efficiencies as well. And, this is an area where the long term partnership with VMware has really been a huge benefit. We've actually done a lot of joint engineering over the years, continuing to do that co-development as we bring products like Project Monterey, or next generations of VCF solutions, to live in a GreenLake environment. That's an area where customers not only see the benefits of GreenLake from a business standpoint, um, on a consumption model, but also around the efficiency operationally as well. >> Paul, I want to, I want to bring up something that we always talk about on the CUBE, which is experience in the enterprise. Usually it's around, you know, technology strategy, making the right product market fit, but HPE and VMware, I mean, have exceptional depth and experience in the enterprise. You guys have a huge customer base, doesn't churn much, steady state there, you got vSphere, killer product, with a new release coming out, HP, unprecedented, great sales force. Everyone knows that you guys have great experience serving customers. And, it seems like now the fog is clearing, we're seeing clear line of sight into value proposition, you know, what it's worth, how do you make money with it, how do partners make money? So, it seems like the puzzle's coming together right now with consumption, self-service, developer focus. It just seems to be clicking. What's your take on all this because... >> Oh, absolutely. >> you got that engine there at VMware. >> Yeah. I think what customers are looking for, customers want that cloud kind of experience, but they want it on their terms. So, the work that we're actually doing with the GreenLake offerings that we've done, we've released, of course, our subscription offerings that go along with that. But, so, customers can now get cloud on their terms. They can get systems services. They know that they've got the confidence that we have integrated those services really well. We look at something like vSphere 8, we just released it, right? Well, immediately, day zero, we come out, we've got trusted integrated servers from HPE, Mark and his team have done a phenomenal job. We make sure that it's not just the vSphere releases but VSAN and we get VSAN ready nodes available. So, the customers get that trusted side of things. And, you know, just think about it. We've... 200,000 joined customers. >> Yeah, that's a lot. >> We've a hundred thousand kind of enabled partners out there. We've an enormous kind of install base of customers. But also, those customers want us to modernize. And, you know, the fact that we can do that with GreenLake, and then of course with our new features, and our new releases. >> Yeah. And it's nice that the products market fits going well on both sides. But can you guys share, both of you share, the cadence of the relationship? I mean, we're talking about vSphere, every two years, a major release. Now since 6, vSphere 6, you guys are doing three months' releases, which is amazing. So you guys got your act together there, doing great. But, you guys, so many joint customers, what's the cadence? As stuff comes out, how do you guys put that together? How tightly integrated? Can you share a quick... insight into that dynamic? >> Yeah, sure. So, I mean Mark can and add to this too, but the teams actually work very closely, where it's every release that we do is jointly qualified. So that's a really, really important thing. But it's more interesting is this... the innovation side of things. Right? If you just think about it, 'cause it's no use to just qualify. That's not that interesting. But, like I said, we've released with vSphere 8 you know... the new enhanced storage architecture. All right? The new, next generation of vSphere. We've got that immediately qualified, ready on HPE equipment. We built out new AI servers, actually with Invidia and with HPE. And, we're able to actually push the extremes of... AI and intelligence... on systems. So that's kind of work. And then, of course, our Project Monterey work. Project Monterey Distributed Services Engine. That's something we're really excited about, because we're not just building a new server anymore, we're actually going to change the way servers are built. Monterey gives us a new platform to build from that we're actually jointly working. >> So double click on that, and then to explain how HPE is taking advantage of it. I mean, obvious you have more diversity of XPU's, you've got isolation, you've got now better security, and confidential computing, all that stuff. Explain that in some detail, and how does HPE take advantage of that? >> Yeah, definitely. So, if you think about vSphere 8, vSphere 8 I can now virtualize anything. I can virtualize your CPU's, your GPU's, and now what we call DPU's, or data processing units. A data processing unit, it's... think of it as we're running, actually, effectively another version of ESX, sitting down on this processor. But, that gives us an ability to run applications, and some of the virtualization services, actually down on that DPU. It's separated away from where you run your application. So, all your applications get to consume all your CPU. It's all available to you. Your DPU is used for that virtualization and virtualization services. And that's what we've done. We've been working with HPE and HPE and Pensando. Maybe you can talk some of the new systems that we've built around this too. >> Yeah. So, I mean, that's one of the... you talked about the cadence and that... back to the cadence question real briefly. Paul hit on it. Yeah, there's a certain element of, "Let's make sure that we're certified, we're qualified, we're there day zero." But, that cadence goes a lot beyond it. And, I think Project Monterey is a great example of where that cadence expands into really understanding the solutioning that goes into what the customer's expecting from us. So, to Paul's point, yeah, we could have just qualified the ESX version to go run on a DPU and put that in the market and said, "Okay, great. Customers, We know that it works." We've actually worked very tightly with VMware to really understand the use case, what the customer needs out of that operating environment, and then provide, in the first instantiation, three very discrete product solutions aimed at different use cases, whether that's a more robust use case for customers who are looking at data intensive, analytic intensive, environments, other customers might be looking at VDI or even edge applications. And so, we've worked really closely with VMware to engineer solutions specific to those use cases, not just to a qualification of an operating environment, not just a qualification of certain software stack, but really into an understanding of the use case, the customer solution, and how we take that to market with a very distinct point of view alongside our partners. >> And you can configure the processors based on that workload. Is that right? And match the workload characteristics with the infrastructure is that what I'm getting? >> You do, and actually, well, you've got the same flexibility that we've actually built in why you love virtualization, why people love it, right? You've got the ability to kind of bring harness hardware towards your application needs in a very dynamic way. Right? So if you even think about what we built in vSphere 8 from an AI point of view, we're able to scale. We built the ability to actually take network device cards, and GPU cards, you're to able to build those into a kind of composed device. And, you're able to provision those as you're provisioning out VM's. And, the cool thing about that, is you want to be able to get extreme IO performance when you're doing deep learning applications, and you can now do that, and you can do it very dynamically, as part of the provisioning. So, that's the kind of stuff. You've got to really think, like, what's the use case? What's the applications? How do we build it? And, for the DPU side of things, yes, we've looked at how do we take some of our security services, some of our networking services, and we push those services down onto the SmartNIC. It frees up processors. I think the most interesting thing, that you probably saw on the keynote, was we did benchmarks with Reddit databases. We were seeing 20 plus, I'm sure the exact number, I think it was 27%, I have to get exact number, but a 27% latency improvement, to me... I came from the database background, latency's everything. Latency's king. It's not just... >> Well it's... it's number one conversation. >> I mean, we talk about multi-cloud, and as you start getting into hybrid. >> Right. >> Latency, data movement, efficiency, I mean, this is all in the workload mindset that the workhorses that you guys have been working at HPE with the compute, vSphere, this is heart center of the discussion. I mean, it is under the hood, and we're talking about the engine here, right? >> Sure. >> And people care about this stuff, Mark. This is like... Kubernetes only helps this better with containers. I mean, it's all kind of coming together. Where's that developer piece? 'Cause remember, infrastructure is code, what everybody wants. That's the reality. >> Right. Well, I think if you take a look at... at where the Genesis of the desire to have this capability came from, it came directly out of the fact that you take a look at the big cloud providers, and sure, the ability to have a part of that operating environment, separated out of the CPU, free up as much processing as you possibly can, but it was all in this very lockdown proprietary, can't touch it, can't develop on it. The big cloud guys owned it. VMware has come along and said, "Okay, we're going to democratize that. We're going to make this available for the masses. We're opening this up so that developers can optimize workloads, can optimize applications to run in this kind of environment." And so, really it's about bringing that cloud experience, that demand that customers have for that simplicity, that flexibility, that efficiency, and then marrying it with the agility and security of having your on premises or hybrid cloud environment. And VMware is kind of helping with that... >> That's resonating with the customer, I got to imagine. >> Yeah. >> What's the feedback you're hearing? When you talk to customers about that, the like, "Wait a minute, we'd have to like... How long is that going to take? 'Cause that sounds like a one off." >> Yeah. I'll tell you what... >> Everything is a one off now. You could do a one off. It scales. >> What I hear is give me more. We love where we're going in the first instantiation of what we can do with the Distributed Services Engine. We love what we're seeing. How do we do more? How do we drive more workloads in here? How do we get more efficiency? How can we take more of the overhead out of the CPU, free up more cores. And so, it's a tremendously positive response. And then, it's a response that's resonating with, "Love it. Give me more." >> Oh, if you're democratizing, I love that word because it means democratization, but someone's being democratized. Who's... What's... Something when... that means good things are happening, which means someone's not going to be winning out. Who's that? What... >> Well it, it's not necessarily that someone's not winning out. (laughs) What you read, it comes down to... Democratizing means you've got to look at it, making it widely available. It's available to all. And these things... >> No silos. No gatekeepers. Kind of that kind of thing. >> It's a little operationally difficult to use. You've got... Think about the DPU market. It was a divergent market with different vendors going into that market with different kind of operating systems, and that doesn't work. Right? You've got to actually go and virtualize those DPU's. So then, we can actually bring application innovation onto those DPU's. We can actually start using them in smart ways. We did the same thing with GPU's. We made them incredibly easy to use. We virtualized those GPU's, we're able to, you know, you can provision them in a very simple way. And, we did the same thing with Kubernetes. You mentioned about container based applications and modern apps in the one platform now, you can just set a cluster and you can just say, "Hey I want that as a modern apps enabled cluster." And boom. It's done. And, all of the configurations, set up, Kubernetes, it's done for you. >> But the thing that just GreenLake too, the democratization aspect of how that changed the business model unleashes... >> Right. >> ...efficiency and just simplicity. >> Oh yeah, absolutely. >> But the other thing was the 20% savings on the Reddit's benchmark, with no change required at the application level, correct? >> No change at the application level. In the vCenter, you have to set a little flag. >> Okay. You got to tick a box. >> You got to tick a little box... >> So I can live with that. But the point I'm making is that traditionally, we've had... We have an increasing amount of waste to do offloads, and now you're doing them much more efficiently, right? >> Yes. >> Instead of using the traditional x86 way of doing stuff, you're now doing purpose built, applying that to be much more efficient >> Totally agree. And I think it's becoming, it's going to become even more important. Look at, we are... our run times for our applications, We've got to move to a world where we're building completely confidential applications at all time. And that means that they are secured, encrypted, all traffic is encrypted, whether it's storage traffic, whether it's IO traffic, we've got to make sure we've got complete route of trust of the applications. And so, to do all of that is actually a... compute intensive. It just is. And so, I think as we move forward and people build much more complete, confidential, compute secured environments, you're going to be encrypting all traffic all the time. You're going to be doing micro-zoning and firewalling down at the VM level so that you've got the protection. You can take a VM, you can move it up to the cloud, it will inherit all of its policies, will move with it. All of that will take compute capacity. >> Yup. >> The great thing is that the DPU's give us this ability to offload and to use some of that spare compute capacity. >> And isolate so the application chance can't just tunnel in and get access to that >> You guys got so much going on. You can have your own CUBE show, just on the updating, what's going on between the two companies, and then the innovation. We got one minute left. Just quickly, what's the goal in the partnership? What's next? You guys going to be in the field together, doing joint customer work? Is there bigger plans? Is there events out there? What are some of your plans together in the marketplace? >> That's you. >> Yup. So, I think, Paul kind of alluded to it. Talk about the fact that you've got a hundred thousand partners in common. The venn diagram of looking at the HPE channel and the VMware channel, clearly there's an opportunity there to continue to drive a joint, go to market message, through both of our sales organizations, and through our shared channel. We have a 25,000 strong... solution architect... force that we can leverage. So as we get these exciting things to talk about, I mean, you talk about Project Monterey, the Distributed Services Engine. That's big news. There's big news around vSphere 8. And so, having those great things to go talk about with that strong sales team, with that strong channel organization, I think you're going to see a lot stronger partnership between VMware and HPE as we continue to do this joint development and joint selling >> Lots to get enthused about, pretty much there. >> Oh yeah! >> Yeah, I would just add in that we're actually in a very interesting point as well, where Intel's just coming out with Next Rev systems, we're building the next gen of these systems. I think this is a great time for customers to look at that aging infrastructure that they have in place. Now is a time we can look at upgrading it, but when they're moving it, they can move it also to a cloud subscription based model, you know can modernize not just what you have in terms of the capabilities and densify and get much better efficiency, but you can also modernize the way you buy from us and actually move to... >> Real positive change transformation. Checks the boxes there. And put some position for... >> You got it. >> ... cloud native development. >> Absolutely. >> Guys, thanks for coming on the CUBE. Really appreciate you coming out of that busy schedule and coming on and give us the up... But again, we can do a whole show some... all the moving parts and innovation going on with you guys. So thanks for coming on. Appreciate it. Thank you. I'm John Dave Vellante we're back with more live coverage day two, two sets, three days of wall to wall coverage. This is the CUBE at VMware Explorer. We'll be right back.
SUMMARY :
Great to see you guys. You guys have the deep partnership, Where's the action at? kind of not only the cost and experience in the enterprise. just the vSphere releases and then of course with our new features, both of you share, but the teams actually work very closely, and then to explain how HPE and some of the virtualization services, and put that in the market and said, And match the workload characteristics We built the ability to actually number one conversation. and as you start getting into hybrid. that the workhorses that That's the reality. the ability to have a part of customer, I got to imagine. How long is that going to take? Everything is a one off now. in the first instantiation I love that word because It's available to all. Kind of that kind of thing. We did the same thing with GPU's. But the thing that just GreenLake too, In the vCenter, you have But the point I'm making and firewalling down at the VM level the DPU's give us this ability just on the updating, and the VMware channel, Lots to get enthused about, the way you buy from us Checks the boxes there. and innovation going on with you guys.
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Garrett Lowell & Jay Turner, Console Connect by PCCW Global | AWS re:Invent 2021
(upbeat music) >> Welcome back to Las Vegas everybody. You're watching theCUBE coverage of AWS reinvent 2021. I tell you this place is packed. It's quite amazing here, over 20,000 people, I'd say it's closer to 25, maybe 27,000, and it's whole overflow, lots going on in the evenings. It's quite remarkable and we're really happy to be part of this. Jay Turner is here, he's the Vice President of Development and Operations, at PCCW Global. He's joined by Garrett Lowell, Vice President of Ecosystem Partnerships for the Americas at PCCW Global. Guys, welcome to theCUBE. Thanks for coming on. >> Thank you. >> Thank you so much. Jay, maybe you could take us through, for those people who aren't familiar with your company, what do you guys do, what are you all about? >> PCCW Global is the international operating wing of Hong Kong telecom. If it's outside of Hong Kong, it's our network. We've got about 695,000 kilometers of diverse cable, we've got about 43, 44 terabit of capacity came into business in 2005, if my brain is serving me correctly right now. We have a very diverse and vast portfolio ranging all the way from satellite teleports, all the way to IP transit. We're a Tier 1 service provider from that perspective as well. We do one of everything when it comes to networking and that's really, what was the basis of Console Connect, was inventing a platform to really enable our users to capitalize on our network and our assets. >> Okay. 2005, obviously you predated Cloud, you laid a bunch of fibers struck it in the ocean, I mean, global networks. There was a big trend to do that you had to think, you had to go bigger, go home in that business, (laughing) all right. Console Connect is your platform, is that right? >> Jay: Yes. >> So explain- >> Yeah, sorry, Console Connect is a software defined interconnection platform. We built a user self-service portal. Users can allocate ports, they get the LOAs issued to them directly from the platform. And then once they've got an active port or they've come in via one of our partnerships, they can then provision connectivity across our platform. That may be extending to their data centers or extending to their branch office, or it could be building a circuit into the Cloud via direct connect, could be building a circuit into an internet exchange. All of those circuits are going to be across that 685,000 kilometers of diverse fiber rather than going across the public internet. >> When you started, it took some time obviously to build out that infrastructure and then the Cloud came into play, but it was still early days, but it sounds like you're taking the AWS Cloud model and applying that to your business, eliminate all that undifferentiated heavy lifting, if you will, like the visioning in management. >> Yeah, we've heard many people, and that's kind of the impetus of this was, I want to be directly connected to my end point. And how do I do that? AWS, yes, they had direct connect, but figuring out how to do that as an enterprise was challenging. So we said, hey, we'll automate that for you. Just tell us what region you want to connect to. And we'll do all the heavy lifting and we'll just hand you back a villain tag. You're good to go. So it's a classic case, okay. AWS has direct connect. People will go, oh, that's directly competitive, but it's now you're adding value on top of that. Right? >> Yeah. >> Describe where you fit, Garrett, inside of the AWS ecosystem. You look around this hall and it's just a huge growing ecosystem, where you fit inside of that ecosystem and then your ecosystem. What's that like? >> Where we fit into the AWS ecosystem, as Jay alluded to, we're adding value to our partners and customers where they can come in, not only are they able to access the AWS platform as well as other Cloud platforms, but they're also able to access each other. We have a marketplace in our platform, which allows our customers and partners to put a description of their services on the marketplace and advertise their capabilities out to the rest of the ecosystem of PCCW Global and Console Connect. >> And you're doing that inside of AWS, is that right or at least in part? >> No, that's not inside of AWS. >> So your platform is your platform. >> Yes. >> Your relationship with AWS is to superpower direct connect. Is that right or? >> So we're directly connected to AWS throughout the globe. And this allows our customers and partners to be able to utilize not only the PCCW global network, but also to expand that capability to the AWS platform in Cloud. >> So wherever there's a Cloud, you plug into it, okay? >> Garrett: That's correct. >> Jay: Yeah. And then another advantage, the customer, obviously doesn't have to be directly co-located with AWS. They don't have to be in the same geographical region. If for some reason you need to be connected to U.S. west, but you're in Frankfurt, fine, we'll back all the traffic for you. >> Dave: Does that happen a lot? >> It actually does. >> How come? What's the use case there. >> Global diversity is certainly one of them just being able to have multiple footprints. But the other thing that we're seeing more of late is these Cloud-based companies are beginning to be attracted to where their customers are located. So they'll start seeing these packets of views and they'll go, well, we're going to go into that region as well, stand up a VPC there. We want our customers then being able to directly connect to that asset that's closest to them. And then still be able to back call that traffic if necessary or take it wherever. >> What's the big macro trends in your business? Broadly you see cost per bit coming down, you see data consumption and usage going through the roof. How does that affect you? What are some of the big trends that you see? >> I think one of the biggest ones and one that we targeted with Console Connect, we were hearing a lot of customers going, the world's changing so dynamically. We don't know how to do a one-year forecast of bandwidth, much less a three-year, which is what a lot of contracts are asking us for. So we said, hey, how about one day? Can you do one day? (Dave laughs) Because that's what our granularity is. We allow for anything from one day up to three years right now, and then even within that term, we're dynamic. If something happens, if suddenly some product goes through the roof and you've suddenly got a spike in traffic, if a ship drags its anchor through a sub sea cable, and suddenly you're having to pivot, you just come into the platform, you click a couple of buttons, 20 seconds later, we've modified your bandwidth for you or we've provisioned a new circuit for you, we've got your backup going, whatever. Really at the end of the day, it's the customer paying for their network, so the customer should be the one making those decisions. >> How's that affect pricing? I presume or so, I can have one day to a three-year term, for example if I commit to three years, I get a better deal. Is that right, or? >> You do, but at the end of the day, it's actually pretty much a moderate, a better deal. We don't want to force the hand of the customer. If you signed a 12 month contract with us, we're going to give you a 3% discount. >> So it's not really, that's not a motivation to do it. It's just (indistinct) reduce the transaction complexity. And that's why you will sign up for a longer term not to get the big discount. >> Correct. And then, like I said, even within a longer contract, we're still going to allow you to flex and flow and modify if you need to, because it's your network. >> What kind of constraints do you put on that? Do I have to commit to a flow? And then everything above that is, I can flex up. Is that how it works? >> Yeah. >> Okay. And then, the more I commit to, the better the deal is, or not necessarily? >> No, it's pretty much flat rate. >> Okay, I'm going to commit and I'm going to say, all right, I know I'm going to use X, or sign up for that and anything over it, you're pretty flexible, I might get a few points if I sign up for more, somebody might want to optimize that if they're big enough. >> And another really neat advantage, the other complaint we heard from customers, they go, I need three different direct connect, I need to be connected to three different parties, but I don't want to run three different cross-connects and I don't want to have three different ports. That's just an expense and I don't want. And we, fine, take your one gig port run one gig of services on it. If that's 20 different services, we're fine. We allow you to multiplex your port and provision as- >> So awesome. I love that model. I know some software companies who I would recommend to take a look at that pricing model. So Garrett, how do you segment the ecosystem? How do you look at that? Maybe you could draw and paint a picture of the idea of partners and what they look like. I know there's not just one category, but, >> Sure. Our ideal partners are internet exchangers, Cloud partners and SAS providers, because a big piece of our business is migration to the Cloud, and the flexibility of our platform allows and encourages our SAS providers and SI partners to perform migration to the Cloud much easier in a flexible format for their customers. >> What can you tell us, any kind of metrics you can give us around your business to give a sense of the scope, the scale? >> Well, of our business, (Dave laughs) one of the driving factors here, Gardner says that about 2023, I think, 40% of the enterprise workloads will be deployed in the Cloud, which is all fine and dandy, except in my head, you're just trading one set of complexities for another. Instead of having everything in a glass house and being able to understand that, now you're going, it's in the Cloud, now I need to manage my connectivity there. wait a minute, are my security policies still the same? Do they apply if I'm going across the public internet? What exposure have I just bought into myself to try to run this? The platform really aims at normalizing that as much as possible. If you're directly connected to AWS, at the end of the day, that's a really long ethernet cable. So your a glass house just got a lot bigger, but you're still able to maintain and use the exact same policies and procedures that you've been using. That's really one of our guiding principles, is to reduce that complexity and make it very simple for the user. >> I understand that, cause in the early days of Cloud, a lot of enterprises, the CIOs, they were concerned about security, then I think they realized, ah, AWS has pretty good security. CIA is using it. But still people would say to me, it's not that it's best security, it's just different. You know, we move slow, Dave. How do you accommodate, there's that diversity, I mean, AWS is obviously matured, but are you suggesting that you can take my security edicts in my glass house and bring those into your networks and ultimately into the Cloud? Is that how it works? >> That's the goal. It's not going to be a panacea more than likely, but the more edicts that we can allow you to bring across and not have to go back and revamp and, the better for you as a customer and the better really for us, because it normalizes things, it makes it much easier for us to accommodate more and more users. >> And is it such now in the eco, is all the diversity in the ecosystem, is it such that there's enough common patterns you guys can accommodate most of those use cases? >> Yeah, absolutely. One of the key components is the fact that the platform runs on our MPLS network, which is inherently secure. It's not on the public internet anywhere. We do have internet on demand capability. So in the event that a customer wants access to the internet, no problem. We can accommodate this. And we also have 5G capability built into the platform to allow flexibility of location and flexibility of, I would say, standing up new customer locations. And then the other component of the security is the fact that the customers can bring their own security and apply anywhere. We're not blocking, we don't have any port filters or anything of this nature. >> If would think 5G actually, I could see people arguing both sides, but my sense is 5G is going to be a huge driver for your business cause it's going to just create so much more demand for your services, I think. I can see somebody arguing the counter about it. What's your point of view on that? >> No, I think that's a fair assessment. I think it's going to drive business for everyone here on the show floor and it's pushing those workloads more toward the edge, which is not an area that people were typically concerned with. The edge was just the door that they walked through. That's becoming much different now. We're also going to start seeing, and we're already seeing it, huge trends of moving that data at the edge rather than bringing it all the way back to a central warehouse and help ending it. The ability to have a dynamic platform where you can see exactly what your network's doing and in the push of a button, modify that, or provision new connectivity in response to how your business is performing. >> Yeah, ultimately it's all about the applications that are going to be driving demand for more data. That's just a tailwind for you guys. >> Yeah. You look at, some of the car companies are coming on, Tesla, you're drive around with like eight CPUs and I think communicating back over the air. >> Dave: Yeah, right. >> You start scaling that and you start getting into some some real bottlenecks. >> Amazing business you guys having obviously capital intensive, but once you get in there, you got a big moat. That is a matter of getting on a flywheel and innovating. Guys, congratulations on all the progress and so much for coming on theCUBE. >> Thanks for the time. >> Thank you very much. >> Great to meet you guys. Good luck. All right, thank you for watching. This is Dave Vellante for theCUBE, the leader in High-Tech Coverage. We'll be right back. (upbeat music)
SUMMARY :
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Garrett Lowell & Jay Turner, PCCW Global | AWS re:Invent 2021
(upbeat music) >> Welcome back to Las Vegas everybody. You are watching theCube's coverage of AWS reinvent 2021. I'll tell you this place is packed. It's quite amazing here over 20,000 people, I'd say it's closer to 25, maybe 27,000. And there's a little overflow, lots going on in the evenings. It's quite remarkable. And we're really happy to be part of this. Jay Turner is here, he's the vice president of development and ops at PCCW Global. He's joined by Garrett Lowell, vice-president of ecosystem partnerships for the Americas at PCCW Global. Guys, welcome to theCube. Thanks for coming on. >> Thank you so much. >> So, Jay, maybe you could take us through for those people who aren't familiar with your company, what do you guys do? What do you all about? >> Yes, so PCCW Global is the international operating wing of Hong Kong Telecom. So if it's outside of Hong Kong, it's our network. We've got about 695,000 kilometers of diverse cable. We've got about 43, 44 terabit of capacity. Came into business in 2005 if my brain is serving me correctly right now. So we have a very diverse and vast portfolio ranging all the way from satellite teleports, all the way to IP transit. We're a tier one service provider from that perspective as well. So we do one of everything when it comes to networking and that's really what was the basis of Console Connect, was inventing a platform to really enable our users to capitalize on that our network and our assets. >> Okay, so 2005, obviously you predated cloud, you laid a bunch of fibers, it's getting in the ocean, I mean, global networks, I mean, there was a big trend to do that and you had to think, you had to go bigger or go home and that business. >> Jay: Yes you had to do. >> So and Console Connect is your platform, is that right? So explain. >> Yeah, sorry. Yeah, Console Connect is our software defined interconnection platform. So we built a user self-service portal. Users can allocate ports, they get the LOAs issue to them directly from the platform. And then once they've got an active port or they've come in via one of our partnerships, they can then provision connectivity across our platform. And that may be extending to their data centers or extending or their branch office, or it could be building a circuit into the cloud via direct connect, could be building a circuit into an internet exchange. And all of those circuits are going to be across that 685,000 kilometers of diverse fiber rather than going across the public internet. >> So, when you started, it took some time obviously to build out that infrastructure and then the cloud came into play, but it was still early days, but it sounds like you're taking the cloud model, AWS Cloud model and applying that to your business, eliminate all that undifferentiated, heavy lifting, if you will, the visioning and management. >> Yeah, we've heard many people and that's kind of the impetus of this was, I want to be directly connected to my end point. And how do I do that? And AWS, yes, they had direct connect, but figuring out how to do that as an enterprise was challenging. So we said, hey, we'll automate that for you. Just tell us what region you want to connect to. And we'll do all the heavy lifting, and we'll just hand you back a villain tag. You're good to go. >> So it's a classic case of, okay, AWS has direct connect, people they go, "Ah, that's directly competitive, but it's not, you're adding value on top of that." Right. So describe where you fit Garrett inside of the AWS ecosystem. You look around this hall and it's just a huge growing ecosystem, where you fit inside of that ecosystem and then your ecosystem, what's that like? >> Okay, so where we fit into the AWS ecosystem, as Jay alluded to, we're adding value to our partners and customers where they can come in, not only are they able to access the AWS platform as well as other cloud platforms, but they're also able to access each other. So we have a marketplace in our platform, which allows our customers and partners to put a description of their services on the marketplace and advertise their capabilities out to the rest of the ecosystem of PCCW Global and Console Connect. >> Okay, so and you're doing that inside of AWS? I that right? Or at least in part? >> No, that's not inside of AWS. >> Okay, so your platform is your platform. >> Yes. >> And then, so your relationship with AWS is to sort of superpower direct connect, is that right or? >> So we're directly connected to AWS throughout the globe. And this allows our customers and partners to be able to utilize not only the PCCW Global network, but also to expand that capability to the AWS platform in clouds. >> Wherever there's a cloud you plug into it? Okay. >> That's correct. >> And then another advantage there is the customer, obviously doesn't have to be directly co-located with AWS. They don't have to be in the same geographic region. If for some reason you need to be connected to US West, but you're in Frankfurt, fine, we'll back all the traffic for you. >> Does that happen a lot? >> It actually does. >> How come? Why, what's the use case there? >> Global diversity is certainly one of them, just being able to have multiple footprints. But the other thing that we're seeing more of late is these cloud-based companies are beginning to kind of be attracted to where their customers are located. So they'll start seeing these pockets of use and they'll go, well, okay, we're going to go into that region as well, stand up a VPC there. And so then we want to our customers then being able to directly connect to that asset, that's closest to them. And then still be able to back call that traffic if necessary or take it wherever. >> What are the big, sort of macro trends in your business? I mean, broadly you see cost per bit coming down, you see data consumption and usage going through the roof. How does that affect you? What are some of the big trends that you see? >> I think one of the biggest ones and one that we targeted with Console Connect, we were hearing a lot of customers going, the world's changing so dynamically. We don't know how to do a one-year forecast of bandwidth, much less a three-year, which is what a lot of contracts are asking us for. So we said, hey, how about one day? Can you do one day? (Dave laughing) Because that's what our granularity is. So we allow for anything from one day up to three years right now, and then even within that term, we're dynamic. So if something happens, suddenly some product goes through the roof and you've suddenly got a spike in traffic. If a ship drags its anchor through a sub sea cable, and suddenly you're having to pivot, you just come into the platform, you click a couple of buttons, 20 seconds later, we've modified your bandwidth for you, or we've provisioned a new circuit for you. We've got your backup going whatever. Really at the end of the day, it's the customer paying for their network, so the customer should be the one making those decisions. >> How's that affect pricing? I presume, so I can have one date or a three-year term. Presume if I commit to three years, I get a better deal, is that right or? >> You do, but I mean, at the end of the day, it's actually pretty much a moderate, a better deal. We don't want to force the hand of the customer. So yeah, if you signed a 12 month contract with us, we're going to give you a 3% discount. >> Yeah, so it's not really, that's not a motivation to do it. Is just you want to reduce the transaction complexity. And that's why you would sign up for a longer term not to get the big discount. >> Correct. And then, like I said, even within a longer contract, we're still going to allow you to flex and flow and modify if you need to because it's your network. >> What kind of constraints do you put on that? Do I have to commit to a floor and then everything above that is I can flex up? Is that how it works? Okay. And then the more I commit to the better the deal is, or not necessarily? >> No, it's pretty much flat, right. >> So, okay. So I'm going to come in and I'm going to say, all right, I know I'm going to use X, I'll sign up for that and anything over it. You're pretty flexible, I might get a few points if I sign up for more, somebody might want to optimize that if they're big enough. >> And another really neat advantage, and the other complaint we heard from customers, they go, I need three different direct connect, or I need to be connected to three different parties, but I don't want to run three different cross-connects and I don't want to have three different ports. That's just an expense I don't want. And we say, fine, take your one gig port, run one gig of services on it, if that's 20 different services, we're fine. So we allow you to multiplex your port and provision- >> It's awesome. I love that model. I know some software companies who I would recommend take a look at that pricing model. So, Garrett, how do you segment the ecosystem? How do you look at that way? Maybe you could draw paint a picture sort of the, the ideal partners and what they look like. I know there's not just one category, but. >> Sure, so our ideal partners are internet exchanges, cloud partners, and SAS providers, because a big piece of our business is migration to the cloud. And the flexibility of our platform allows and encourages our SAS providers and SI partners to perform migration to the cloud much easier and flexible in a flexible format for their customers. >> Yeah, so what can you tell us, any kind of metrics you can give us around your business to give a sense of the the scope, the scale. >> Well, of our business, kind of one of the driving factors here, Gardner says that about 2023, I think 40% of the enterprise workloads will be deployed in the cloud, which is all fine and dandy, except in my head, you're just trading one set of complexities for another. So now, instead of having everything in a glass house and being able to kind of understand that now you're going, well, okay, so it's in the cloud now I need to manage my connectivity there. And, oh, well, wait a minute, are my security policies still the same? Do they apply if I'm going across the public internet? What exposure have I just, bought into myself to try to run this? So the platform really aims at normalizing that as much as possible. If you're directly connected to AWS, at the end of the day, that's a really long ethernet cable. So you're a glass house just got a lot bigger, but you're still able to maintain and use the exact same policies and procedures that you've been using. So that's really one of our guiding principles is to reduce that complexity and make it very simple for the user. >> Well, I don't understand, 'cause in the early days of cloud, a lot of enterprises, CIO they were concerned about security. And I think they realized that AWS has pretty good security, well, CIA is using it. But still people would say to me, it's not that it's bad security, it's just different. We move slow, Dave. So how do you accommodate, now I don't know, does that diversity, I mean, AWS has obviously matured, but are you suggesting that you can take my security edicts in my glass house and bring those into your networks and ultimately into the cloud? Is that kind of how it works? >> That's the goal. It's not going to be a panacea more than likely, but the more edicts that we can allow you to bring across and not have to go back and revamp and the better for you as a customer and the better really for us, because it normalizes things, it makes it much easier for us to accommodate more and more users. >> It is such now in the eco, it was all the diversity in the ecosystem. Is it such that there's enough common patterns that you you guys can kind of accommodate most of those use cases? >> Yeah, absolutely. I think the, one of the key components is the fact that the platform runs on our MPLS network, which is inherently secure. It's not on the public internet anywhere. Now we do have internet on demand capability. So in the event that a customer wants access to the internet, no problem, we can accommodate this. And we also have 5G capability built into the platform to allow flexibility of location and flexibility of... I would say, standing up new customer locations. And then the other component of the security is the fact that the customers can bring their own security and apply anywhere. So we're not blocking, we don't have any port filters or anything of this nature. >> Well, I would think 5G actually, I mean, I could see people arguing both sides, but my sense is 5G is going to be a huge driver for your business, 'cause it's going to just create so much more demand for your services I think, I could see somebody arguing the counter, but what's your point of view on that? >> No. I think that's a fair assessment. I think it's going to drive business for everyone here on the show floor. And it's pushing those workloads more toward the edge, which is not an area that people were typically concerned with. The edge was just the door that they walked through. That's becoming much different now. And we're also going to start seeing, and we're already seeing it, huge trends of moving that data at the edge, rather than bringing it all the way back to a central warehouse in Hare pending it. So, again, the ability to have a dynamic platform where you can see exactly what your network's doing and in the push of a button, modify that, or provision new connectivity in response to how your business is performing. >> Yeah, and ultimately it's all about the applications that are going to be driving demand for more data. And that's just a tailwind for you guys. >> Yeah, yeah and then you look at some of the car companies are coming on, you know, Tesla, you're driving around with like eight CPU's in that thing, communicating back over the air. >> Dave: Yeah right. >> You start scaling that, and you start getting into some real bottleneck. >> Amazing business you guys having, obviously capital intensive, but once you get in there, you've got a big moat, and then it's a matter of getting on a flywheel and innovating. Guys, congratulations on all the progress and thanks so much for coming on theCube. >> Yeah. No, thanks for the time. >> Thank you very much. >> Yeah, great to meet you guys. Good luck. All right. Thank you for watching. This is Dave Vellante for theCube, the leader in high-tech coverage, right back. (upbeat music)
SUMMARY :
Jay Turner is here, he's the Yes, so PCCW Global is the and you had to think, So and Console Connect is get the LOAs issue to them that to your business, and that's kind of the inside of the AWS ecosystem. not only are they able to Okay, so your platform but also to expand that capability you plug into it? They don't have to be in are beginning to kind of be attracted What are some of the and one that we targeted Presume if I commit to three at the end of the day, And that's why you would and modify if you need to Do I have to commit to a floor So I'm going to come in and and the other complaint segment the ecosystem? And the flexibility of our platform allows Yeah, so what can you tell us, kind of one of the driving factors here, So how do you accommodate, and the better for you as a customer that you you guys can kind of accommodate So in the event that a So, again, the ability to that are going to be driving at some of the car companies and you start getting Guys, congratulations on all the progress Yeah, great to meet
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Mary Johnston Turner, IDC | AnsibleFest 2020
>> Announcer: From around the globe, it's theCUBE with digital coverage of Ansible Fest 2020, brought to you by Red Hat. >> Everyone welcome back to theCUBEs, virtual coverage of Ansible Fest 2020. I'm John Furrier, host of theCUBE, we're here virtual, we're not face to face obviously because of COVID. So we're doing a virtual event Ansible Fest coverage. We have Mary Johnston Turner, research Vice President of Cloud Management at IDC international data Corp. Mary great to see you, thanks for coming on for Ansible Fest 2020. >> Thanks for inviting me. >> So obviously Cloud Management, everything's Cloud native we're seeing that at VM world, we've got Re-invent coming up, Azure has got growth. The enterprises have gotten some religion on Cloud Native, COVID certainly is forcing that. What are you seeing from your research at IDC around the convergence of Cloud strategies. What's the data tell you, what's the research show? >> Well, obviously with COVID a lot of folks have pivoted or accelerated their move to the Cloud in many ways. And I think what's happening is that we're seeing many, many organizations recognizing they continue to have need for On-prem resources. They're building out edge, they've got remote work from home, they've got traditional VM workloads, They've got modern Cloud Native container-based workloads running On-Prem and in public Clouds and public Cloud services. So it's really kind of a striking world of connected Clouds is how I'm talking about it increasingly. And I think what that means from an operational perspective is that it's getting more and more challenging for organizations to maintain consistent configuration, stable APIs, security, compliance and conformance. And they're really starting to look at Automation as the way to deal with the increasing scale and velocity of change because that's one of the things that's happening. And I think COVID accelerated that is we've seen organizations stand up applications they never thought they were going to have to stand up and they not only stood them up very quickly, but then they continue to update them with great frequency often multiple times a day or a week. And and the infrastructure has had to pivot and the workloads have had to migrate. So it's really been a very challenging time for many organizations. And I think those that are coping the best with it are the ones who have been investing in Automation particularly Automation in CICD pipeline and code based environment. >> Yeah, you know, you're seeing the releases, obviously Automation has helped on the agile side, VMs and containers have been a great way to automate, how are customers looking at this? Because it seems to be Automation is like the first step towards everything as a service, right? So it's XAAS as it's says, as it's called in the industry. Services is ultimately the holy grail in all this because you get, when the Automation and services used to be Automation, Automation, Automation. Now you're hearing as a service, as a service, as a service as the top three priorities. So it seems to be a trajectory. How are customers getting first of all... Do you agree with that? And then how do customers think about this? Cause sometimes we're ahead of the customers. Automation is the first step. What's your take on this, and what are customers planning when it comes to Automation? Are they thinking as a service? What'd you hearing from the customers? >> Let's talk a little bit about what we mean by as a service. Cause that's a really interesting concept, right? And I've been hearing this conversation with folks as a service started a decade or more ago, taking things that particularly software that ran On-prem infrastructure or software. And putting it into share Data Centers where we could run Multi tenant Environments we could scale it, and each Cloud provider basically got that scale by investing in their own set of infrastructure Automation. So whether it was Azure or VMware or whoever, they build a whole repeatable, scalable environment that they could control. What's happening now is that we're seeing these control planes get stretched back to On-prem resources. And I think what's really happening is that the line about where does the thing physically have to run? Becomes more of a discussion around the physics of the matter, Latency, Data Volumes, transaction processing cost of installed equipment. And every organization is making its own choice about what's the right mix, in terms of where physically do things have to run, and how they want to manage them. But I think that we're starting to see a abstraction layer coming in between that. And a lot of that abstraction is Automation that's portable that can be applied across all these environments. And that can be used to standardize configurations, to maintain standard APIs, to deploy at very fast speed and consistency across all these different resources. And so Automation and the related management layer to me is that new abstraction layer that actually is going to allow most enterprises to stop worrying quite so much about (chuckles) what kind of as a service am I buying? And focus more on the economics and the performance and the physics of the infrastructure, and then maintain consistency with highly Automated, Repeatable, Programmable Style Environments that are consistent across all these different platforms. >> Yeah, that's a great point. It's great insight, I love that. It's almost, as you can almost visualize the boardroom. We need to change our business model as a service. Go do it, climb that hill, get it done, what are you talking about? What you're trying to manage workloads inside our enterprise and outside as they started looking at the workload aspect of it, it's not trivial to just say it, right? So your containers has barely filled the void here. How are customers and how are people getting started with this initial building block of saying okay, do we just containerize it? Cause that's another hand waving activity which has a lot of traction. Also you put some containers has got some goodness to it, are many people getting started with solving this problem? And what are some of the roadblocks of just managing these workloads inside and outside the enterprise? >> Well, again I think, yeah many organizations are still in the early stages of working with containers. Right now I think our research shows that maybe five to 10% of applications have been containerized. And that's a mix of lift and shift of traditional workloads as well as net new Cloud Native. Over the next couple of years almost enterprise has tell us to think a third of their workloads could be containerized. So it's ramping very, very quickly. Again, I think that the goal for many organizations is certainly containers allow for faster development, very supportive microservices, but increasingly it's also about portability. I talk to many organizations that say, yeah, one of the reasons I'm moving, even traditional workloads into containers is so that I have that flexibility. And again, they're trying to get away from the tight coupling of workloads to physical resources and saying I'm going to make those choices, but they might change over time or I might need to go what happens. I have to scale much faster than I ever thought. I'm never going to be able to do that my own data center, I'm going to go to the Cloud. So I think that we're seeing increasing investments in, Kubernetes and containers to promote more rapid scaling and increased business agility. And again, I think that means that organizations are looking for those workloads to run across a whole set of environments, geographies, physical locations, edge. And so they're investing in platforms and they count on Automation to help them do that. >> So your point here is that in five, 10% that's a lot of growth opportunity. So containers is actually happening now so you starting to see that progression. So that's great insight. So I've got to ask you on the COVID impact, that's certainly changed some orientation because hey, this project let's double down on this is a tailwind for us, work from home this new environment and these projects, maybe we want to wait on those, how do we come out of COVID? Some people have been saying, some spending in some areas are increasing, some are not, how are customers spending money on infrastructure with COVID impact? What are you seeing from the numbers? >> Well, that's a great question, and I do see one of the major things we do is track IT markets and spending and purchasing around the world. And as you might expect, if you go back to the early part of the year, there was a very rapid shift to Cloud, particularly to support work from home. And obviously there was a lot of investment in virtual desktops and remote work kinds of and collaboration very early on. But now that we're sort of maturing a little bit and moving into more of ongoing recovery resiliency sort of phase, we continue to see very strong spending on Cloud. I think overall it's accelerated this move to more connected environments. Many of the new initiatives are being built and deployed in Cloud environments. But again, we're not seeing a Whole Hog exit from On-prem resources. The other thing is Edge. We're seeing a lot of growth on Edge, both again there's sort of work from home, but also more remote monitoring, more support for all kinds of IOT and remote work environments, whether it's Lab Testing or Data Analysis or Contact Tracing. I mean, there's just so many different use cases. >> I'm going to ask you about Ansible and Red Hat. I see you've been following Ansible since the acquisition by Red Hat. How do you think they're doing Visa Vie the market, their competitors that have also been acquired? What's your take on their performance, their transition, their transformation? >> Well, this infrastructure is code or Automation is code market has really matured a lot over the last 10 or more years. And I think the Ansible acquisition was about five years ago now. I think we've moved from just focusing on trying to build elegant Automation languages, which certainly was an early initiative. Ansible offered one of the earlier human readable Python based approaches as opposed to more challenging programming languages that some of the earlier solutions had. But I think what's been really interesting to me over the last couple years with Red Hat is just what a great job they've done in promoting the community and building out that ecosystem, because at the end of the day the value of any of these infrastructures code solutions is how much they promote the connectivity across networks, Clouds, servers, security, and do that in a consistent, scalable way. And I think that's what really is going to matter going forward. And then that's probably why you've seen a range of acquisitions in this market over the last couple of years, is that as a standalone entity, it's hard to build those really robust ecosystems, and to do the analytics and the curation and the support at large scale. So it kind of makes sense as these things mature that they become fun homes with larger organizations that can put all that value around it. >> That's great commentary on the infrastructure as code, I totally agree. You can't go wrong by building abstraction layers and making things more agile. I want to get your take on some announcements that are going on here and get your thoughts on your perspective. Obviously they released with the private Automation hub and a bunch of other great stuff. I mean, bringing Automation, Kubernetes, and series of new features to the platform together, obviously continuation of their mission. But one of the things when I talked to the engineers is I say, what's the top three things, Ansible Fest, legal collections, collections, collections, so you start to see this movement around collections and the platform. The other thing is, it's a tool market and everyone's got tools we need a platform. So it's a classic tools. As you saw that in big data other areas where need start getting into platform, and you need management and orchestration you need Automation, services. What's your perspective on these announcements? Have they been investing aggressively? What does it mean? What's your take? And what does it mean? >> Yeah, I would agree that Red Hat has continued to invest very aggressively in Red Hat and in Ansible over the last few years. What's really interesting is if you go back a couple years, we had ASML engine, which included periodic, maybe every quarter or even longer than that distributions that pretty much all Ansible code got shipped on. And then we had tower which provided an API and a way to do some audit and logging and integration with source control. And that was great, but it didn't move fast enough. And we just got done talking about how everything's accelerated and everything's now connected Clouds. And I think a lot of what the Red Hat has done is really, approach the architecture for scale and ecosystem for scale. And so the collections have been really important because they provide a framework to not only validate and curate content but also to help customers navigate it and can quickly find the best content for their use cases. And also for the partners to engage, there's I think it's 50 plus collections now that are focused on partner content. And so it's I think it's really provided an environment where the ecosystem can grow, where customers can get the support that they need. And then with the Automation hub and the ability to support really robust source control and distribution. And again, it's promoting this idea of an Automation environment that can scale not only within a data center, but really across these connected environments. >> Great stuff. I want to get your thoughts cause I want to define and understand what Red Hat and Ansible, when they talk about curated content, which includes support for open shifts, versus pulling content from the community. I hear content I'm like, oh, content is that a video? Is that like, what is content? So can you explain what they mean when they say they're currently building out, aggressively building curated content and this idea of what does content mean? Is it content, is it code? >> Yeah, I think any of these Automation as code environments. You really have a set of building blocks that in the Ansible framework would be be modules and playbooks and roles. And those are relatively small stable pieces of code, much of it is actually written by third parties or folks in the community to do a very specific task. And then what the Ansible platform is really great at is integrating those modules and playbooks and roles to create much more robust Automations and to give folks a starting point, and ability to do, rather than having to code everything from scratch to really kind of pull together things that have been validated have been tested, get security updates when they need it that kind of thing. And so the customers can focus on essentially changing these things together and customizing them for their own environment as opposed to having to write all the code from step one. >> So content means what, in this context, what does content mean for them? >> It's Automation building blocks. It's code, it's small amounts of code that do very specific things (chuckles) and in a collections environment, it's tagged, it's tested, it's supported. >> It's not a research report like of a Cube video, it's like code, it's not content. >> Yeah, I know. But again, this is Automation as code, right? So it it's pieces of code that rather than needing an expert who understands everything about how a particular device or system works, you've got reusable pieces of code that can be integrated together, customized and run on a repeatable, scalable basis. And if they need to be updated cause an API changes or something, there's a chain that goes back to the the vendors who, again are part of the ecosystem and then there's a validation and testing. So that by the time it goes back into the collections, the customers can have some confidence that when they pull it down, it's not going to break their whole environment. Whereas in a pure community supported model, the contents made by the community, may be beautiful, but you don't know, and you could have five submissions that kind of do the same thing. How do you know what's going to work and what's going to be stable? So it's a lot of helping organizations get Automation faster in a more stable environment. >> We can certainly follow up on this train cause one of things I've been digging into is this idea of, open source and contribution, integrations are huge. The collections to me is super important because when we start thinking about integration that's one of Cloud native, supposedly strength is to be horizontally scalable, integrated, building abstraction layers as you had pointed out. So I've got to ask you with respect to open source. I was just talking with a bunch of founders yesterday here in Silicon Valley around as Cloud scales and certainly you seeing snowflake build on top of AWS. I mean, that's an amazing success story. You're starting to see these new innovations where the Cloud scale providers are providing great value propositions and the role open source is trying to keep pace. And so I got to ask you is still open source, let me say I believe it's important, but how does open source maintain its relevance as Cloud scale goes on? Because that's going to force Automation to go faster. Okay, and you got the major Cloud vendors promoting their own Cloud platforms. Yet you got the innovation of startups and companies. Your enterprises are starting to act like startups as container starts to get through this lift and shift phase. You'll see innovation coming from enterprises as well as startups. So you start to see this notion bring real value on top of these Clouds. What's your take on all this? >> Well, I think open source and the communities continue to be very, very important, particularly at the infrastructure layer, because to get all this innovation that you're talking about, you act, if you believe you've got a connected environment where folks are going to have different footprints and, and probably, you know, more than one public Cloud set of resources, it's only going to, the value is only going to be delivered if the workloads are portable, they're stable, they can be integrated, they can be secure. And so I think that the open source communities have become, you know, continue to be an incredibly important as a way to get industry alignment and shared innovation on the, on the platform and infrastructure and operational levels. And I think that that's, you know, going to be, be something that we're going to see for a long time. >> Well Mary, I really appreciate your insights, I got one final question, but I'll just give you a plug for the folks watching, check out Mary's work at IDC, really cutting edge and super important as Cloud management really is at the heart of all the, whether it's multicloud, on-premise hybrid or full Cloud lift and shift or Cloud native, management plays a huge important role right now. That's where the action is. You looking at the container growth as Mary you pointed out is great. So I have to ask you what comes next. What do you think management will do relative to Cloud management, as it evolves in these priority environments around Cloud, around on-premise as the operations start to move along, containers are critical. You talked about the growth is only five, 10%, a lot of headroom there. How is management going to evolve? >> Well, again, I think a lot of it is going to be is everything has to move faster. And that means that Automation actually becomes more and more important, but we're going to have to move from Automation at human speed to Automation at container and Cloud speed. And that means a lot is going to have to be driven by AI and ML analytics that can and observability solutions. So I think that that's going to be the next way is taking these, you know, very diverse sources of, of log and metrics and application traces and performance and end user experience and all these different things that tell us, how is the application actually running and how is the infrastructure behaving? And then putting together an analytics and Automation layer that can be a very autonomous. We have at IDC for doing a lot of research on the future of digital infrastructure. And this is a really fundamental tenant of what we believe is that autonomous operations is the future for a Cloud and IT. >> Final point for our friends out there and your friends out there watching who some are on the cutting edge, riding the big wave of Cloud native, they're at Cube calm, they're digging in, they're at service meshes, Kubernetes containers, you name it. And for the folks who have just been kind of grinding it out, an it operations, holding down the Fort, running the networks, running all the apps. What advice do you give the IT skillset friends out there that are watching. What should they be doing? What's your advice to them, Mary? >> Well, you know, we're going to continue to see the convergence of, of virtualized and container based infrastructure operations. So I think anyone out there that is in those sorts of roles really needs to be getting comfortable with programmatic code driven Automation and, and figuring out how to think about operations from more of a policy and scale scalability, point of view. Increasingly, you know, if you believe what I just said about the role of analytics driving Automation, it's going to have to be based on something, right? There's going to have to be rules. There's going to have to be policies is going to have to be, you know, configuration standards. And so kind of making that shift to not thinking so much about, you know, the one off lovingly handcrafted, handcrafted environment, thinking about how do we scale, how do we program it and starting to get comfort with, with some of these tools, like an Ansible, which is designed to be pretty accessible by folks with a large range of skillsets, it's human readable, it's Python based. You don't have to be a computer science major to be able to get started with it. So I think that that's what many folks have to do is start to think about expanding their skill sets to operate at even greater scale and speed. >> Mary, thanks so much for your time. Mary Johnston Turner, Vice President of Research at Cloud for Cloud management at IDC for the Ansible Fest virtual. I'm John Ferrier with theCUBE for cube coverage, cube virtual coverage of Ansible Fest, 2020 virtual. Thanks for watching.
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Krish Prasad, VMware & Paul Turner, VMware | CUBE Conversation, April 2020
[Music] hello and welcome to the Palo Alto students leaky bomb John Farrar we're here for a special cube conversation and special report big news from VMware discuss the launch of the availability of vSphere 7 I'm here with Chris Prasad SVP and general manager of the vSphere business and cloud platform business unit and Paul Turner VP a VP of Product Management guys thanks for coming in and talking about the big news thank you for having us you guys announced some interesting things back in march around containers kubernetes and the vSphere Chris just about the hard news what's being announced today we are announcing the general availability of vSphere 7 John it's by far the biggest release that we have done in the last 10 years we previewed it this project Pacific a few months ago with this release we are putting kubernetes native support into the vSphere platform what that allows us to do is give customers the ability to run both modern applications based on kubernetes and containers as well as traditional VM based applications on the same platform and it also allows the IT departments to provide their developers cloud operating model using the VMware cloud foundation that is powered by this release this is a key part of our tansu portfolio of solutions and products that we announced this year and it is star gated fully at the developers of modern applications and the specific news is vSphere 7 is general available generally vSphere 7 yes ok that so let's on the trend line here the relevance is what what's the big trend line that this is riding obviously we saw the announcements at VMware last year and throughout the year there's a lot of buzz pascal sternness says there's a big wave here with kubernetes what does this announcement mean you guys with the marketplace trend yeah so what kubernetes is really about is people trying to have an agile operation they're trying to modernize their IT applications and they the best way to do that is build off your current platform expand it and make it a an innovative a agile platform for you to run kubernetes applications and VM applications together I'm not just that customers are also looking at being able to manage a hybrid cloud environment both on pram and public cloud together so they want to be able to evolve and modernize their application stack but modernize their infrastructure stack which means hybrid cloud operations with innovative applications kubernetes or container based applications on VMs what's excited about this trend increase we were talking with us at vmworld last year and we've had many conversations around cloud native but you're seeing cloud native becoming the operating model for modern business I mean this is really the move to the cloud if you look at the successful enterprises and even the suppliers the on-premises piece if not move to the cloud native marketplace technologies the on premise isn't effective so it's not so much on premises going away we know it's not but it's turning into cloud native this is the move to the cloud generally this is a big wave yeah absolutely I mean if John if you think about it on-premise we have significant market share by far the leader in the market and so what we are trying to do with this is to allow customers to use the current platform they are using but bring their application modern application development on top of the same platform today customers tend to set up stacks which are different right so you have a kubernetes stack you have a stack for the traditional applications you have operators and administrators who are specialized in kubernetes on one side and you have the traditional VM operators on the other side with this move what we are saying is that you can be on the same common platform you can have the same administrators who are used to administering the environment that you already had and at the same time offer the developers what they like which is kubernetes dial-tone that they can come and deploy their applications on the same platform that you use for traditional applications yeah Paul Paul Pat said kuba is gonna be the dial tone on the Internet most Millennials might even know what dial tone is but if what he meant is is that's the key fabric that's gonna work a straight and you know we've heard over the years skill gap skill gap not a lot of skills out there but when you look at the reality of skills gap it's really about skills gaps and shortages not enough people most CIOs and chief information security are so that we talk to you say I don't want to fork my development teams I don't want to have three separate teams so I don't have to I I want to have automation I want an operating model that's not gonna be fragmented this kind of speaks to this whole idea of you know interoperability and multi-cloud this seems to be the next big way behind ibrid I think it I think it is the next big wake the the thing that customers are looking for is a cloud operating model they like the ability for developers to be able to invoke new services on demand in a very agile way and we want to bring that cloud operating model to on-prem to Google cloud to Amazon Cloud to Microsoft cloud to any of our VC peepee partners you get the same cloud operating experience and it's all driven by a kubernetes based dial-tone it's effective and available within this platform so by bringing a single infrastructure platform that can one run in this hybrid manner and give you the cloud operating agility that developers are looking for that's what's key in version seven says Pat Kelsey near me when he says dial tone of the internet kubernetes does he mean always on or what does he mean specifically just that it's always available what's what's is what's the meaning behind that that phrase no I the first thing he means is that developers can come to the infrastructure which is the VMware cloud foundation and be able to work with a set of api's that are kubernetes api s-- so developers understand that they are looking for that they understand that dial tone right and you come to our VMware cloud foundation once across all these clouds you get the same API said that you can use to deploy that application okay so let's get into the value here of vSphere seven how does VMware vSphere seven specifically help customers isn't just bolting on kubernetes to vSphere some will say is it that's simple or used whether you're running product management no it's not that easy it's yeah some people say hey use bolton kubernetes on vSphere it's it's not that easy so so one of the things if if anybody's actually tried deploying kubernetes first it's highly complicated um so so definitely one of the things that we're bringing is you call it a Bolton but it's certainly not like that we are making it incredibly simple you talked about IT operational shortages customers want to be able to deploy kubernetes environments in a very simple way the easiest way that we can you can do that is take your existing environment that are out ninety percent of IT and just turn on turn on the kubernetes dial tone and it is as simple as that now it's much more than that in version seven as well we're bringing in a couple things that are very important you also have to be able to manage at scale just like you would in the cloud you want to be able to have infrastructure almost self manage and upgrade and lifecycle manage itself and so we're bringing in a new way of managing infrastructure so that you can manage just large scale environments both on-premise and public cloud environments and scale and then associated with that as well is you must make it secure so there's a lot of enhancements we're building into the platform around what we call intrinsic security which is how can we actually build in truly a trusted platform for your developers and IT yeah I mean I was just going to touch on your point about the shortage of IT staff and how we are addressing that here the the way we are addressing that is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with kubernetes the same way they administered the older releases so they don't have to learn anything new they are just working the same way we are not changing any tools process technologies it was before same as it was before more capable dealer and developers can come in and they see new capabilities around kubernetes so it's best of both worlds and what was the pain point that you guys are so obviously the ease-of-use is critical Asti operationally I get that as you look at the cloud native developer Saiga's infrastructure as code means as app developers on the other side taking advantage of it what's the real pain point that you guys are solving with vSphere 7 so I think it's it's it's multiple factors so so first is we've we've talked about agility a few times right there is DevOps is a real trend inside an IT organizations they need to be able to build and deliver applications much quicker they need to be able to respond to the business and to do that what they are doing is they need infrastructure that is on demand so what what we're really doing in the core kubernetes kind of enablement is allowing that on-demand fulfillment of infrastructure so you get that agility that you need but it's it's not just tied to modern applications it's also your all of your existing business applications and your modern applications on one platform which means that you know you've got a very simple and and low-cost way of managing large-scale IT infrastructure so that's that's a huge piece as well and and then I I do want to emphasize a couple of other things it's it we're also bringing in new capabilities for AI and ML applications for sa P Hana databases where we can actually scale to some of the largest business applications out there and you have all of the capabilities like like the GPU awareness and FPGA where FPGA awareness that we built into the platform so that you can truly run this as the fastest accelerated platform for your most extreme applications so you've got the ability to run those applications as well as your kubernetes and container based applications that's the accelerate application innovation piece of the announcement right that's right yeah it's it's it's quite powerful that we've actually brought in you know basically new hardware awareness into the product and expose that to your developers whether that's through containers or through VMs which I want to get your thoughts on the ecosystem and then in the community but I want to just dig into one feature you mentioned I get the lifestyle improvement a life cycle improvement I get the application acceleration innovation but the intrinsic security is interesting could you take a minute explain what that is yeah so there's there's a few different aspects one is looking at how can we actually provide a trusted environment and that means that you need to have a way that the key management that even your administrator is not able to get keys to the kingdom as we would call it you you want to have a controlled environment that you know some of the worst security challenges inside and some of the companies has been your in choler internal IT staff so you've got to have a way that you can run a trusted environment and independent we've got these fair trust authority that we released in version 7 that actually gives you a a secure environment for actually managing your keys to the kingdom effectively your certificates so you've got this you know continuous runtime now not only that we've actually gone and taken our carbon black features and we're actually building in full support for carbon black into the platform so that you've got negative security of even your application ecosystem yeah that's been coming up a lot in conversations the carbon black in the security piece chrishelle see these fear everywhere having that operating model makes a lot of sense but you have a lot of touch points you got cloud hyper scale is that the edge you got partners so the other dominant market share and private cloud we are on Amazon as you well know as your Google IBM cloud Oracle cloud so all the major clouds there is a vSphere stack running so it allows customers if you think about it right it allows customers to have the same operating model irrespective of where their workload is residing they can set policies compliance security they said it once it applies to all their environments across this hybrid cloud and it's all fun a supported by our VMware cloud foundation which is powered by vSphere 7 yeah I think having that the cloud is API based having connection points and having that reliable easy to use is critical operating model all right guys so let's summarize the announcement what do you guys take dare take away from this vSphere 7 what is the bottom line what's what's it really mean I I think what we're if we look at it for developers we are democratizing kubernetes we already are in ninety percent of IT environments out there are running vSphere we are bringing to every one of those vSphere environments and all of the virtual infrastructure administrators they can now manage kubernetes environments you can you can manage it by simply upgrading your environment that's a really nice position rather than having independent kind of environments you need to manage so so I think that's that is one of the key things that's in here the other thing though is there is I don't think any other platform out there that other than vSphere that can run in your data center in Google's in Amazon's in Microsoft's in you know thousands of VC PP partners you have one hybrid platform that you can run with and that's got operational benefits that's got efficiency benefits that's got agility benefits yeah I just add to that and say that look we want to meet customers where they are in their journey and we want to enable them to make business decisions without technology getting in the way and I think the announcement that we made today with vSphere 7 is going to help them accelerate their digital transformation journey without making trade-offs on people process and technology and there's more to come look we're laser focused on making our platform the best in the industry for running all kinds of applications and the best platform for a hybrid and multi cloud and so you'll see more capabilities coming in the future stay tuned well one final question on this news announcement which is this awesome vSphere core product for you guys if I'm the customer tell me why it's gonna be important five years from now because of what I just said it is the only platform that is going to be running across all the public clouds right which will allow you to an operational model that is consistent across the clouds so think about it if you go to Amazon native and then you have orc Lord in Azure you're going to have different tools different processes different people trained to work with those clouds but when you come to VMware and you use our cloud foundation you have one operating model across all these environments and that's going to be game-changing great stuff great stuff thanks for unpacking that for us graduates on the insulin thank you at vSphere 7 News special report here inside the cube conversation I'm John Ferger thanks for watching [Music]
**Summary and Sentiment Analysis are not been shown because of improper transcript**
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Krish Prasad, VMware & Paul Turner, VMware SPECIAL | CUBE Conversation, April 2020
>>Yeah, yeah, yeah, yeah, yeah. >>Welcome to this Special Cube conversation. We're gonna unpack and have a casual conversation around the big news that VM Ware just announced the sphere 7.7 point. Oh, or V. Sphere seven. Chris Prasad, senior vice president, General manager of the Sphere Cloud Platform Business unit. Paul Turner, VP of product. Guys, we just chatted about the big news. Congratulations. Um, the bottom line, if I'm a customer, I'm moving into the cloud. I see this as really an either an enabler or blocker. You guys actually think it's an enabler? Um, I'm not saying it's a blocker, but as a customer, I just need to know, Is it going to help me go faster? I'm going cloud, Which means I've been told I got to get on the cloud you got Amazon might have azure or multiple clouds with workloads sitting around. I gotta pull them all together and make them work. But right now, I just got to get my operations cloud native necessarily kind of pressure point. >>Oh, for sure. One of the biggest drivers that you see happen in the industry right now is kubernetes. Why? Why is kubernetes taking off communities taking off because it gives you cloud independence. It gives you the ability to run with same operating model, whether it's in Google Cloud, Amazon's Cloud, Microsoft Cloud or any other cloud service. What we're doing with version seven instruction bring that same kubernetes cloud independent operating model directly in divisor. So now all of your infrastructure platforms that are out there, 90% of I T environments are all kubernetes ready platforms on. That's really powerful. So what we've done is just taken a totally different kind of, um ah, scope on how cloud should be Cloud should be any cloud. It should be independent of one particular flavor of it and on developers should be able to work then in a much more agile way. >>You just see, I've been following VM where you know my career since it was founded. And, you know, with the Cube coverage over the years is they see the innovation. You guys do a lot of great stuff. Of course, we keep on our teams to minimum. And David Lantz he made some good calls with these v san. We saw the early stuff with V Cloud Air Kind of saw that kind of going in this direction, But it's been really innovation going on around you guys. I'll see with NSX has exploded and V Sphere has been the core thing. As you guys look at the cloud model, you guys made some good moves with Amazon. I've always felt that you guys could be that Switzerland that that layer of connection points between as enterprise really moved from old way of provisioning, too much more seamless operating model where they have a deal with cyber security. They gotta deal with all the stuff that's going to come from APS that's going to come from the APP store. When you bought Hep D Oh, I was like, That's actually really smart move. You started bringing that cloud native vibe into V sphere, and that's what's essentially happening here. Isn't it? >>Exactly. This is like the the coming out party for that, like it's V Sphere having all the hefty oh goodness embedded in it. And what they would see is that because we have such a huge presence in the on Prem space, this provides the fastest bad for customers to get to the cloud. So today I mean this? I don't want this point to be lost on the today. You know, we are running the same VM Ware Cloud Foundation, our on Prem on Amazon in Google and many of the same code base. Same code base, right? It's the exact same thing. So now what does that give you as a customer? It gives you the same operational model across all these clouds. Because customers today, we thought that they're setting up set of processes and tools or Amazon. Then you go to Azure. You're doing a different set than their training people to do that. And, you know, you could get into compliance and other issues where things fall through the cracks. Right? When you do that here, the same platform you said your policies wants it applies to all the clouds. You can move your workloads between clouds, right? That's a V motion. Essentially, we don't know the >>last kept on that one, but that's ideal would be crippled >>today. It is happening today and we have thousands of other partners which are the tier two service providers who are all also offering that. So we have a huge grab off these providers are in which we live in the same platform. >>Yeah, I want to add something else, actually, to that as well. Which is? This is an open platform, which is really powerful, right? This is based on kubernetes for developers, which means you can run on the V sphere platform, and that is a hybrid infrastructure that is the most ubiquitous infrastructure out there. But if you actually want to take your application actually deployed onto a native application Native Cloud, you can do that as well. Um, and so it's very important for us to keep the platform open while making broadest available on >>Dev ops. I mean, first, I totally agree. I think open wins, But the end of the day, I think this operating consistency is a big story because it's kind of like nuance. But it is really the most important customers care about, because if you're operating successfully seamlessly across cloud, it's better. So the question I have on the Dev Op side because the dream has always been infrastructure as code. So are you guys there with this? Do you consider this V Sphere seven kind of infrastructures code from a developer? Is it all being taken care of. How close are we in your mind's eye to infrastructure as code. >>Now it's 100% there. I mean, we made the announcement around Hangzhou, which is a set off other products and capabilities that we add to what the sphere has and that whole stack. And the solution is for this targeted at the modern developer. So we have all the capabilities that the developers need to do infrastructure as scored, to deploy their applications and deployed across all these clouds. >>And I want I want to add to that the infrastructure as code really has two parts to it. We look at how do I provide the developers infrastructure's code, which is what we're doing with kubernetes enablement and we have our V San product is available. In fact, all storage services from V sphere available through that andare NSX services are available through kubernetes. So you've got full infrastructures code for developers. But infrastructures code also means how do you deploy large scale infrastructures and manage them as code? How do people actually manage the operations and the deployment of services? And so you're right in your admin team actually have a full layer of enhanced lifecycle management provisioning off configurations and settings across infrastructure. All of that is now managed, as >>that's almost under the hood kind of stuff. But that's important because networking is going to play a big role in all of this from a security standpoint and also compute storage. Pretty much looking, looking good, but networking becomes a huge part of what's under the hood. >>Yeah, I mean, look at networking is what enables us to connect all these clouds together, right? And NSX being the underlying platform for us enables us to have one single layer across all these clouds with the same operating model. So NSX is very critical. >>I want to get your guys thoughts on some little history lesson here or scar tissue, as we say in the industry. You know, I remember back during the Hadoop days, 2010 the big data movement hit, and it was just going to save us all. It's gonna be great, but what ended up happening was this very hard to stand up these clusters and what happened was the commitment the vision was there, but it was just really hard to manage and stand up clusters and hire people to do this. So it has some use cases, but it just really kind of fell down. We saw Open Stack have a similar trajectory where good on paper, things had used cases. But it's just so hard to manage the trends. We're moving very, very fast. Cloud was here. Cloud Computing kind of took everyone by storm and just got rid of all those things. And so they kind of dying. >>No. But if you think about why open Stack didn't go anywhere in the end, it's because of the operational complexity right? It took a lot to set it up, and he had essentially invest a lot more than keeping it running right. And then what we're doing is saying you don't have to worry about that aspect because it's built into the platform that you already know, right? So we have taken that complexity out completely, and so you just have this fear. The administrators know how to set up and run and do life cycle, and this year, and you get kubernetes, go >>back to my original question. If that's the case, which, by the way, I think that's the way to think about it. Then I found the customer acceleration. I can draft up with the movement of cloud as fast as I can Go is having any kind of blockers. >>Fastest lamb like cloud >>ran to the cloud >>and fastest fastest ramp to a cloud operating model, which means that all of your developers can now actually run as quickly as they can, building their applications independent of I t. In a much more dynamic way. So you want to move to that cloud operating model. That's why Kubernetes is so important on the infrastructure side. We've actually, of course, made it a much easier platform to manage. But but it's the agility that matters. >>You guys have done some great innovation. I think you've got a good ear to the market, made some good moves. Looking good. This is a great vision. I got to get your guys take on the edge. Big discussion. Five g. Certain years love that kind of vision. But the end of the day and edge. Now, if you talk about cloud operations, everything's an edge, right? So what does edge mean for V sphere? How do you guys look at the edge of the network. And as these applications with the sensors or whatever happening at the edges, How does this V Sphere look at that? How do you guys look? >>So, uh, for let me just I would say that, you know, we we have, ah, data center edge, right? We just think of it as, um, retail stores, Starbucks, right. They have a kind of a mini data center application running there. That's one kind of edge that people talk about. Then you have the kind of the telco edge, but a lot of the crossing of the five year data is happening, right? Where the cell tower, Selden. We're done. And then you have the devices. You just the cars, the You know what you have at home and we're not right. And then and we can play across all of these because we have the platform. I don't know if you know, but ah, v sphere, as the platform is, is embedded in many devices today. It's in the army. It's embarking leaders it. So it has a form factor that can live in all these devices. We certainly play in the data center, so we're well suited to play the >>piece for anywhere. >>Yeah, that is exactly right. >>I think we're already We're already at the data center edge, as we've talked about that is, it's a very common deployment use case for earlier versions of the sphere, and it will continue to be the value that you guys it's not not new at all. I think the telco edge is actually a very interesting one, particularly the five G switch over. So you know what's happening. There is. There's a whole radio access networks and you're looking at the V Ron as a big initiative there. Which is how do we bring virtualization as a service they're into into those networks? Container deployments becomes very important as well. So we actually have a platform with version seven that actually can give the telco edge and five G network deployments a much more secure, predictable runtime environment. So that's really powerful as well. And it's containers and VMS because many of those applications that are deployed a telco edge our container based applications. >>It's interesting, you know, we talk about stacks in our last segment and you guys talking about the news and now having all these stacks later on. But think about the evolution of the industry with cloud. A whole new sets of services are emerging mentioned Telco Edge. So it just looks different. What's the same kind of open model that open systems brought us, but just a little bit different? It's a distributed cloud security computer, same concepts, new new capabilities. >>Not just to add to that, I mean the biggest innovation John is happening in the hardware layer by the computer, sort of getting disaggregated. There is a lot of acceleration that is going on that are specialized chips, a six effigies that are being built into the servers and and memory's getting pulled outside because the interconnect is getting fast enough for those things to happen. And so a lot of the innovation that we do as a platform that we didn't talk about much today is really a data layer, because we had to virtual eyes all of that and provide it to the level. Of course, >>yeah, it's great. It's a great architecture. I think I just add more complexity that's coming and you guys can help. Abstract away is you just look at cybersecurity and the role of data. You got to get in front of all these these trends to get that automation dev ops going because without any automation and software is just people can't handle the inbounds. It's a big problem. >>Yeah, you really need, um, your platforms to provide intrinsic security. It shouldn't be. It shouldn't be an option. It shouldn't be something the developers need to worry about. It should be something that's just part of the platform. And that's one of the things that we see is critical and actually built into Visa or seven. And you've seen that we've made a number of acquisitions recently. Actually, in the security piece, it's it's so that we can purposely build into your runtime environment, which is your VM environment container environment that we're running. We actually build in intrinsic security would build in a dynamic checking off the scope of an application in real time. Um, while those applications running, which is very key. >>Paul, >>Thanks for sharing all that great stuff. I want to get one final thought for both of you before we wrap up is we've been seeing and we've been reporting kind of the three ways of the cloud wave one was public. We all kind of know how that turned out. Awesome Cloud Native Born in the Cloud Wave two is well right now with a lot of intensity hybrid that's got a range of definitions. And then the third wave that's coming fast is multi cloud. So I want to get your thoughts on hybrid. A lot of energy, a lot of spend a lot of dollars investment in hard causing people in hybrid. I know we have different definitions. Is also different versions of hybrid. How do you define hybrid? And how does that become a path to the next wave? Or is it a path of next wave? What's your take? >>So it's absolutely the bad the next, I would say the hybrid, in our view, is the same platform running on which cloud do you want to use in our platform, as we talked about spans all the major clouds today giving the same operating model, and that's what we view as the hybrid cloud story. But the next one is the ability to mix native cloud workloads and services with that, and we already have a set of products and services that target that it's the times. A portfolio that I talked about is all focused on the multi cloud journey. So we kind of support both, and we're looking forward and aggressively going after the multi cloud. >>I think it's important to think of them as is completely complimentary of each other, right? A hybrid infrastructure platforms. So you know, a single I T organization can actually have one operating experience for their entire infrastructure, independent of Cloud Private Cloud Public Cloud Services. But Multi Cloud is about developers. It's about developers able to deploy their applications on any cloud environment that they need to, and they don't need to worry about infrastructure. So hybrid cloud is really about, ah, hybrid infrastructure that we can deploy everywhere, multi cloud and the services that we're providing to developers is all about how you could be independent of any cloud deployment that you want. It could be a hybrid infrastructure you deploy on. It could be on a standard public cloud service, >>and what's interesting is not. Not not all clouds are created equal. I mean, Amazon has much more capability in Azure and Google, but they're finding their swim lanes. But again it's all about the workload. The workload decides which cloud to work on. And that's right. You guys just agnostic? Yes, For the operator. Well, well, Thanks for the insight, guys. Appreciate you did a little post wrap of the news. Thanks for hiring. Thank you. Big news. These fear seven Q breakdown here. I'm John Furrier. Thanks for watching, >>right? Yeah.
SUMMARY :
Yeah, yeah, yeah, yeah, news that VM Ware just announced the sphere 7.7 point. One of the biggest drivers that you see happen in the industry right Kind of saw that kind of going in this direction, But it's been really innovation going on around you So now what does that give you as a customer? It is happening today and we have thousands of other partners which are the This is based on kubernetes for developers, which means you So the question I have on the Dev Op And the solution is for this targeted at the modern We look at how do I provide the developers infrastructure's code, which is what we're doing with kubernetes But that's important because networking is going to play a big role And NSX being the underlying platform for us enables You know, I remember back during the Hadoop days, 2010 the big data movement into the platform that you already know, right? If that's the case, which, by the way, I think that's the way to think about it. So you want to move to that cloud operating model. How do you guys look at the edge of the network. You just the cars, the You know what you have at home and we're not right. So you know what's happening. It's interesting, you know, we talk about stacks in our last segment and you guys talking about the news and now having all these And so a lot of the innovation that I think I just add more complexity that's coming and you guys can help. And that's one of the things that we see is I want to get one final thought for both of you before we wrap up is is the same platform running on which cloud do you want to use in the services that we're providing to developers is all about how you could be independent But again it's all about the workload. right?
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Mary Johnston Turner, IDC | AnsibleFest 2019
>> Announcer: Live from Atlanta, Georgia, it's theCUBE. Covering AnsibleFest 2019. Brought to you by Red Hat. >> Welcome back everyone it's theCUBE's live coverage here in Atlanta, Georgia for Red Hat's AnsibleFest. #AnsibleFest, check out all the commentary on Twitter. Of course, we're here for two days, I'm John Furrier with Stu Miniman. Our next guest is Mary Johnston Turner, Research VP Cloud Management International Data Corp IDC. Welcome to theCUBE, thanks for joining us. >> Thank you. >> So IT operations has been an evolving thing. AI and automation really changing the landscape of this data equation. IT operations used to be, "Hey, you go to IT ops, no problem." Now with the world changing to be more software-driven, software-led, a lot's changed. What's your take? What's your research say about the IT ops landscape? >> Well, I mean, you have to put it in the context of what's going on generally with IT, right? I mean, we're clearly seeing DevOps, you know it's either in production or in large scale testing and the majority of enterprises. We've got lots and lots of containers and Kubernetes usage, we've got multiple clouds in just about every enterprise you talk to. It's, you know, well over 90%. And what that all means is that there's just a lot of change on a lot of different levels. And so that's kind of really put stress on traditional, operational approaches on task-oriented automation. you know, siloed approaches to control and monitoring. And what we're really starting to see is now a move to how to become more integrated, more unified and more collaborative across all these teams. And that's actually kind of driving to me for a new generation of monitoring automation and analytics kind of all put together. >> It's interesting how management software has always been part of every IT conversation we've had in over the past decades. And, but recently if you look up the evolution of cloud and hybrid multi-cloud, you mentioned that. CloudOne, Dot, Amazon, public cloud, pretty straightforward to comprehend. Start-up start there. But this whole other cloud paradigm is shifting has taken these categories like network management, turned them into observability. Five companies go public and M&A activity booming. Automation similar kind of vibe to it here. It's got this management piece to it that used to be this white space. Now the aperture seems to be increasing. What's your take on this? Because we're trying to make sense of it. Customers are trying to figure it out, obviously. They've been doing configuration management. But now they got scale, they got some of the things you mentioned. What's this automation category look like or is it a category? >> I don't know if it's a category or not but it's certainly a thing, right? I think what we're seeing with automation is historically, it was very individual driven. It was, "I have a problem", right? I have to configure something or deploy something and I could whip up a script, you know, do a little code and it worked for me and it wasn't documented and that was great, you know. And I think what we're happening now with just the way applications are being architected, I mean, you're moving to very modular, microservices-based approach to applications, the way they're deployed. All the dependencies across all the different tiers from network to storage to public cloud to private cloud. It's really very, very difficult to rely on a bunch of ad hoc tools to do that. And so I think what's happened with automation is it's expanding up to become as much a business collaboration platform, as it is just sort of a task, feeds and speeds sort of control platform. We're kind of in the middle of that evolution. Even, you know, two years ago I don't think you saw the kinds of analytics, you know, and machine learning and AI that we're now starting to see come in as an overlay to the automation environment. >> Mary, one of the things we've been talking about for the last couple of years is that great buzz word of digital transformation. The real driver for that is I need to be a data driven organization, not just ad hoc things. So where does automation fit into that broader discussion of, you know, changing operational models like you were talking about? >> Well I think, you know done right, it can really be a platform for collaboration and accelerating digital transformation across the enterprise. Because rather than having, you know, each team have to do their own thing and then do a manual hand off or a big change control meeting, you know, these things just don't scale and move quick enough in today's environments. Particularly if you're trying to update your applications every five minutes, right? So, I think the collaboration, the different teams and also a creative environment where you can have more generalists too, right? you know, there's collaboration across IT ops and DevOps and sort of the lines start to blur. >> Yeah, you mentioned the word platform and we were talking to the Ansible team, they were very specific as to how they chose that for customers out there. You know, choosing a platform is a bit of a commitment. It's not just a tactical, "We're going to do this." What's your thoughts on the Ansible automation platform and what feedback do you have to customers as to how they're deciding which platforms and how many platforms that they'll develop on? >> Yeah, it's a really interesting conversation. I mean, I think one of the things that the Ansible team's really focusing on that's important is the modularity. The fact that you can plug and play and kind of grow over time. And also that it's a very software-driven paradigm with the automation artifacts under source control. Which again is kind of different for a lot of ops teams. They don't have that notion of Git and software development all the time. So I think that having a platform approach that still allows a fair amount of modularity integration, and it lets different parts of the organization decide over time how much they want to participate in a very curated, consistent integration. And at the same time, at least in the Ansible world, because of the way it's architected, they can still have modules that call out to other automation, you know, solutions that are in the environment. So it's not an all or nothing, and I think that's really, really important. And it's also a platform for analytics. I'm sorry, but data, you know, about what's going on with the automation. >> The data's critical, but we had mentioned earlier on our previous interview with Red Hat folks and Stu and I's intro about the cloud and how the complexity that is being introduced, and you mentioned some of those earlier, the complexities are there. Of the automation solutions that you've seen, which one's having the most impact for customers? >> Well that, what do you mean by impact? There's such a, such a range of them. If you look in certainly the configuration, infrastructure as code space, obviously Ansible, there's a couple others. If you look into the CI/CD space, right? I mean there's a whole set of very optimized CI/CD tools out there that are very important to the DevOps environment. And, again, you'll see integrations between the infrastructure and the CI/CD, and they're all kind of blurring. And then you've got very specific, almost domain controllers, whether they're for hardware or converged infrastructure-type platforms, or whether they're for public clouds. And those don't go away, right? You still need something that understands the lower level system. And so, I think what we're seeing is organizations trying to reduce the number of individual siloed automation tools they've got, but they're still probably going to have more than one to do the full stack with something, you know, acting as kind of a policy-driven control plane in analytics-driven control plane in the middle. >> So, you've still got to run the plumbing. >> Right, exactly. >> You've still got to run the system now. >> Yeah, I mean something like 70 to 80% of the customers we talk to that are using one or more of the big public clouds, they're also using a fair amount of control tooling that's provided by those cloud vendors. And those aren't going to go away, because, you know, it's just like a hardware system. You got to have the drivers, right? You got to have the core, but you've got to be able to again have the process flow across it that's really important. >> What's your take on the market place shaking out the winners and losers? Because I know you like to track the marketplace from a research standpoint. It just seems that all the events we go to at theCube, everyone's jockeying for the control plane. >> They are. >> Or something. The control plane of the data. We're the control plane for the management. So, the control plane, meaning horizontally scalable, much more platform-centric. You're starting to see kind of a systems thinking coming back into the enterprise versus the siloed IT, but this illustrious control plane, (Mary laughing) I mean, how many control planes can there be? What's your take on all this craziness? >> That's a good question. I mean again, I think there is a difference between sort of the driver level, right? Which it used to be, again, those scripts. They were kind of like drivers, right? That's almost becoming just the playing field. You've got to have those integrations. You've got to have a nice modular way to architect that. What really is going to be the control plane is the data. It's the metrics around what are you doing. It's the performance, it's the security, and being able to actually optimize a lot of the SLOs that go along with that. That's really where the, you know, being able to do a good thing with the data, and tie it to the business and the app is where the real control is going to be. >> Mary, how's Ansible doing as a business? We saw a lot of proof points in the keynote about the community growth, obviously, adoption is up. But, anything you can share about how, you know, they've been doing really about four years into the Red Hat acquisition? >> Well they're, I mean, they're growing pretty effectively. They, I think this whole category is growing, and so they're benefiting quite a lot from that. I think we are seeing really strong growth in the partner communities. Particularly here at this show we are seeing some really, you know, larger and larger scale partnerships, more and more investment. And I think that is really important, because ultimately for a technology like this to scale, it's got to become embedded in all kinds of solutions. So, I look at much as the partner adoption as a good sign as anything. >> Well it's, you know, I guess two things. One is, the whole market's growing. Is Ansible doing better or worse than that? And what is the impact of those cloud-native tooling that you mentioned is, you know, I looked there's kind of Red Hat, the Ansible traditional competition, which was more in the infrastructure management space and now, yes, they do containerization, and work more in the cloud environment. They're kind of spanning between those environments. >> Well, I think, you know, again I see most organizations using multiple tools. I think, from a revenue and growth rate, I can't really get into it, because, as you know, Ansible is actually part of Red Hat, and Red Hat doesn't report out numbers at that level. But we see certainly see a lot of adoption. And we see Ansible, you know, at least if not the primary, as one of the major tools in more and more organizations. And that's across compute, storage, network, very, very popular in the network space, and then growing. Probably not quite as strong, but growing interest in like security and IoT. >> It's interesting you mention the numbers and how Ansible is now part of Red Hat. When Red Hat bought Ansible a couple years ago, I think the year before Stu and I were talking about how configuration management automation was going to come. We kind of saw it, but one of the things that in the community and Red Hat had publicly talked about is, Red Hat didn't screw it up. They kind of got it right, they kept them alone. They grew organically and this organic growth is kind of a forcing function for these new things. Are you happy with what Red Hat has done here with Ansible and this platform? What's your take on this platform? Because platforms have to enable. Good things and value. >> I think you're right. Ansible grew very virally and organically for a long time, but you kind of hit a wall with that at some point. I think they rightly recognized that they needed to have the kind of tooling, the kind of metrics, the kind of hub and modularity that would allow it to go the next level. So, I'm actually really encouraged by this announcement, and I think it also, again, it positions it I think to make partner driven-solutions much more easily standardized. It opens up, probably more ways for people to contribute to the communities. So I think it's really positive. >> And as a platform, if it's enabling value, what kind of value propositions do you see emerging? 'Cause you've got the content collections, the automation hub, automation analytics. Is it just bolting onto RHEL as value? What is some of the value that you might see coming out of the Ansible automation platform? >> Oh, well I mean Ansible's always been very agnostic. It's always been its own business which certainly can compliment RHEL. There's RHEL rolls and all kinds of stuff. But that's not really the focal point for Ansible. Ansible really is about providing that modular consistent automation approach that can span all these different operational domains, and really reach into the business process. So, I think it's great for the Red Hat portfolio, but now as we start to see them building bridges into the bigger IBM portfolio, you know, we haven't had a lot of IBM/Ansible announcements yet, but I would expect that we're going to see more over time. I think the OpenShift Operator integrations are going to be important as part of the things that IBM is doing with OpenShift. So, I think there's more to come. >> Mary, I wonder what your research finds regarding open source consumption in general. You know, how many of the customers out there are just using the free community addition? You know, Red Hat's very clear, you know, they are not, the open source is not Red Hat's business model. It is the way that they work. >> Mary: It's a development model. >> It's their development model. So, any general comments about open source, and specifically around Ansible, kind of the community free edition versus paid. >> Well, it's obviously been an interesting week in open source world with, not Red Hat, but some other vendors getting a little bit of flack for some of the choices they've made about their business practices. I think, you know, there are many, many organizations that continue to get started with unpaid, unsupported open source. What typically happens is if it gets to a critical mass within a company, at some point they're going to say, either I have to invest a lot of people and time and do all the testing, hardening, integration, tracking the security updates you know, and they're still never going to get notified directly from intel when there's a problem, right? So, I think many organizations as they, if they decide this is mission critical then they start to look for supported editions. And we've done a lot of research looking at the benefits of getting that level of support and typically, it's just 50 to 60% improvements and, you know, stability, security, time-to-market because you're not having to do all that work. So, its a trade-off, but you'll always have some, particularly smaller organizations, individual teams that they're not going to pay for it. But I think its scale is when it really becomes valuable. >> Mary, final question for you, for the folks watching that couldn't make the event or industry insiders that aren't in this area. Why is this AnsibleFest more important this year than ever before? What's the big story? What's the top thing happening now in this world? >> I mean, there's great energy here this year. And I've gone to a couple of these over the years. First of all, it's the biggest one they've ever had. I think really though, it's the story of collaboration, building teams, automating end-to-end processes. And that's really powerful, because it's very clear that the community has stepped up from just saying, I can do a great job with network automation, or I can do a great job with cloud or with server. And they're really saying, this is about transforming the organization. Making the organization more productive, making the business more agile. And I think that is a big step for Ansible. >> You know, I think that is a huge point. I think that's something that's really important, because you know, we've talked about capabilities before. It does this, it does that to your point. This is kind of a testament to the operationalizing of DevOps. 'Cause people have always been the bottleneck. So this seems to be the trend. Is that what you're saying? >> Yeah, I think so. And I also see, again, this community talking so much about upscaling the people. Embracing things like unit testing and source control. And it's a maturation of the whole automation conversation among this community. And remember, this community is only what? Six, seven years old? >> Stu: 2012. >> Yeah, I mean it's really a very, very young community. So I think it's a really important pivot point, just in terms of the scale of the problems they can address. >> Solve for abstractions. Solving big problem, automation will be a great category. Mary, thanks so much for coming on theCUBE. Sharing your insights and your research and your analysis. I appreciate it. >> Okay, thank you. >> Mary Johnston Turner Research VP of Cloud Management at IDC, here inside theCUBE. Breaking down the analysis of Red Hat's Ansible position vis-a-vis the market trends. It's theCUBE, I'm John Furrier with Stu Miniman. Stay with us for more coverage after this short break. (upbeat techno music)
SUMMARY :
Brought to you by Red Hat. #AnsibleFest, check out all the commentary on Twitter. AI and automation really changing the landscape and the majority of enterprises. Now the aperture seems to be increasing. and that was great, you know. that broader discussion of, you know, and sort of the lines start to blur. and what feedback do you have to customers that call out to other automation, you know, and how the complexity that is being introduced, the full stack with something, you know, the system now. And those aren't going to go away, because, you know, It just seems that all the events we go to at theCube, So, the control plane, It's the metrics around what are you doing. about the community growth, obviously, adoption is up. So, I look at much as the partner adoption that you mentioned is, you know, And we see Ansible, you know, at least if not the primary, We kind of saw it, but one of the things that I think they rightly recognized that they needed to have What is some of the value that you might see coming out into the bigger IBM portfolio, you know, You know, how many of the customers out kind of the community free edition versus paid. and do all the testing, hardening, integration, What's the big story? that the community has stepped up from just saying, So this seems to be the trend. And it's a maturation of the whole automation conversation just in terms of the scale of the problems they can address. I appreciate it. Breaking down the analysis of Red Hat's Ansible position
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Prakash Ramamurthy & Mary Johnston Turner - Oracle OpenWorld 2015 - #OOW15 - #theCUBE
live from san francisco extracting the signal from the noise it's the cute covering oracle openworld 2015 brought to you by oracle now your host John furrier okay welcome back everyone we are here live in San Francisco on Howard Street for oracle openworld special presentation of the cube so looking ankles flagship program we go out to the events and extract the system noise i'm john furrier founder of SiliconANGLE join my next to gas prakash ramamurthy senior vice president systems and cloud management basically management cloud at oracle and mary johnson Turner research vice president enterprise systems management IDC welcome to the cube thank you so I think take my glasses off to read read the intro there but I want to just get your take on it because we just had to admit on Lavery talk about the plowed and one question I didn't get to ask him was a success mark hurry was talk about the pipeline of customers already in motion on the cloud so I wanted to ask him which is great timing for you guys is how do they integrate it which he talked about but then how do they manage if this is a big issue and he you know ease of use is something that he was generally throwing around there so what is the status of the management cloud because that will be a differentiator like security and to end as a differentiator management certainly will be to me not just table stakes it's really differentiated absolutely i think we're here because we're launching it today actually the management cloud and the interesting thing is this which is today if you look at it whether it's on our cloud or on-premise the rate of innovation is very very robust right i mean you have a mobile phone you're seeing your apps getting refresh twice a week or or even faster than that so what it means is you need the next generation monitoring solution that can monitor all of that so our goal with oracle management flower is to help you manage and monitor your solutions independent of where they are deployed if you deploy it on oracle cloud you little come bake with it to be able to monitor it right from the get-go or if you still have it on premise we will allow you to monitor it and break down those data I low so it is very effective so like you said is very very critical that people look at what their challenges are today in terms of proactive monitoring and troubleshooting to get to the next generation solutions we are providing theory I want to ask you a question on the trends but before that I want to just say that one of things i love about doing the oracle shells are six year the cube here is that for an old-timer like me seen the client-server live the client-server Revolution which is now kind of almost a point in time now it's almost it's over now we're into the cloud cloud modern error it's interesting to see because the same same things keep coming up again it's like the platform's the tool is so I got to ask you the question on what is the key trends that are driving this new application space because if you look at the client-server one of the big things that really was huge was the application market mean that would grant it was siloed up by you know by vendors but now with open source this is a huge application boom right now that's gonna impact IT operations sure yeah I think that if you look at it there's been like you said a couple of generations of technology we had mainframes things changed really slow right then we had client server which was to give business units and developers more control and things started to speed up and change a little more quickly but now in our current and cloud native cloud based development real-time microservice open source-based kind of world the rating pays the change is almost constant you're seeing so many organizations that are moving to continuous delivery modes much of it hosted on public cloud or hybrid private public cloud and they're changing features and functions every day and that creates huge management challenges in terms of just trying to understand is the end-to-end application performing effectively are the end-users getting what they need are the business decision-makers really understanding the impact of those outages or upgrades and it's so it's very complex and then I think it's raising the set of requirements for a particular application performance monitoring and IT operations and log analytics I was Oracle addressing these trends because one of the things that people like tonight I'd like to put things into two camps rip and replace okay or evolutionary development and we're clearly on the McCloud evolutionary because Oracle has it's not gonna be it's not gonna go away right so you can say Oracle native is the cloud strategy to all the Oracle customers but yet now with open source there's net new applications that do you got cha vows to 20 years anniversary so there's new stuff going on IOT is a huge application market right now now I can run an IOT thing in the cloud somewhere else or maybe on Amazon or somewhere else but the other day I have run through my operational assistance assistance of engagements this is a record which is Oracle right so is it an Oracle native cloud and the cloud data mean it how do you see oracle addressing that dynamic are they well positioned well i think oracle has a pretty broad portfolio you know they've had again from a management perspective they had Oracle Enterprise Manager on Prem for many many years i think that the new offerings that are being announced today really are interesting that they extend Oracles of monitoring and analytics to a whole range of cloud-based solutions many of which may not necessarily have been born on the Oracle platforms so I think it's a good recognition of the need for heterogeneity and the need to recognize that it is going to be a very hybrid world for many many years so I think that those are all real you know positive factors and then the new releases and it was talking about the integrated pass perform as a service Enchantix connect those environments but on the management side what are you guys delivering because that's going to be the challenge Prakash to talk about the specific things that you guys are announcing and delivering the customers today so specifically we are delivering three services first one is around application performance monitoring that allows our customers to stay ahead of their customers and their problems and give them the best user experience and monitor that and troubleshoot that and then the second service is around managing your logs and extracting IT operational data and business data out of it today if you look at it the most common thing people do with the log is to archive them and put it away because they don't want that to interrupt their production systems but that has a ton of good information so we have that second service eight exhaust becomes gold exactly so today what happens is they just get put away they get archived and that has real nuggets of business information and IT information being able to collect all of that and use it for your rapid troubleshooting as well so that's the second service the set third one is around IT analytics I call those first two services kind of like the Fitbit for your applications you're constantly getting vitals out of it and white throw that away if you don't have an issue still use it to run some interesting capacity friends and forecasting and all of that so use your real data to forecast your IT health as opposed to using a spreadsheet with some random data that you collected in a point in time so that's what we are announcing three services application performance monitoring log analytics and long term trending and forecasting with IT analytic Isis plunks been doing some log files how they were born people's blunt their data exactly they are trying to kind of get into that how do you guys compared to things like splunk and other tools I know tableau is a new relationship that was announced for the data visualization yeah Larry kind of talked about that yesterday talk about that how people are using that data exhaust give me some examples so the most fundamental difference in what we are doing is this which is we do not differentiate the sources of data and the classes of data when we bring it to the cloud so it could be metric data but with that you can collect based on your monitoring your health of your applications which splunk doesn't do for example and then log data but collect all of that and correlate it together so that in essence what we want to do is this which is the enterprise's today don't have a really a data problem they'd have an insight problem which is they want to be able to just see the right amount of data when they have a problem not all the data when they have a problem depends how you look at the data problem they'll have a Jerry problems you define that as they get all this data so you're plenty of data that's the problem there's no dearth of data problem yeah so that's what I'm i know i know i just kind of making this fun was good comment because i like that because that's that is really not an issue the data is coming yeah and that's you know Brandon whole know the problem you guys have scale now with that but the I don't Linux is a big thing I wanna talk about that because it can be problematic I'm a talk to some customers all the time and they say if someone comes in here and sells me another dashboard I'm gonna shoot myself exactly so it's like because and I said what do you mean by that he goes well there's so many alarms going off I don't know what to pay attention to that's where we start to see machine learning from these tools can you share any color what your great wine Larry I'm it's exactly right which is one of the underpinnings for us is to be able to automatically generate baseline and detect anomalies the last thing I mean our product support our own public cloud and I hear from the guys who run the cloud saying don't just give me another alert tell me what I need to do with an alert because I need to be able to disposition the alert so what we want to do is to understand the normal behavior of your application and only alerts you when there's an anomaly okay so that's part of our machine learning and prioritisation learning some learning algorithms in volved understand some pattern recognition that's right things and only tell you what the outlier is and when and and ask determine what the outlier is that suppose you setting thresholds for us to know it because sometimes things change if you are an e-commerce application or the day before Thanksgiving would have a different pattern than the third week of January right me just that the way the world works so what I want to talk to you about Larry made a comment yes in the key no I just like to take a dig at work day but you know in the way he likes work day because you know it's competition and also highlights from the features that Oracle has but what work days actually losing some share to service now a company in here in Silicon Valley that is an itsm IT service management company and they have been very successful their developer program which actually is starting to nibble away at work shares market share because they're building these developers are building these really focused age are apps that is not flat point it's a tool I know like an offense report for example and works really really well but work day has a plethora of features and they don't always have the best in class features uh-huh so that brings up the whole developer angle what do you and you guys have a story there for developers api's how do you talk to the absolutely share absolutely we have a rest api that the developers can use to collect the data from there into their own dashboards if they want to and also for example you can automatically deploy our agents when you're using our Java cloud service so that monitoring gets baked into it so we have api's for both inputting data and torque loud and extracting data back from the cloud will have api's for you to take the events that we generate into your own event dashboard that you have I'm a developer have a team like I could do some stuff filled my own kind of visualization UI and just have JSON endpoints come right into the absolution absolutely maybe I know she smirked when I said service now you will share some insight it's a this dynamic because this is kind of what's happening on the cloud these tools are popping up yeah well yeah and again I think what we're talking about today is to be able to monitor and analyze and optimize a lot of those different tools and deliver them via cloud platform and I think that we are finding that DevOps organizations are very interested in cloud-based solutions that help them do this better cheaper or faster so I think that you know I think it's an opportunity service now has currently been a pioneer in the delivery of system management as a cloud based model and I think it's interesting that Oracle is actually choosing to enter that market in in a different place yeah I mean actually I just a strength and you got the systems of record a on the right and and really talk from your really you know to Prakash this point really focusing on data because managing effectively managing the performance and operation of applications and complex environments it's all it is a huge data problem and you've got data coming from so many sources so many formats and being able to take that in rapidly to transform it normalize it and make it digestible for humans it's something that is really important in these complex environments and yes I think it's going to be interesting to see I think it's a great try or agree with you I think it's a great strategy by focusing on the data you have a lot of range and I wrote a blog post in 2007 now I'm going way back date is a new developer kit and now that's actually happening you look at data people are playing with the data like a developer place with function calls if you will so we're seeing now is a data rich environment hence the not not a problem of having enough data laying around the problem is how do you use the data you're getting all the products yeah inside is a huge problem and that's only an accelerated by faster performance machines in easy-to-use environment like I'd better analytics because you you want if the user knows what the problem is that they're looking for there are a lot of tools that will help you find it yeah but if you do not know what the problem is and to guide them towards the problem is is where where there's real opportunity and there's a real pain point in these enterprises especially now that you and I don't tolerate a downtime so you never cut anybody slack saying oh the website is slow but they've been innovating I'm gonna give them some slack nobody does that yeah yeah so and because now everything is measurable now for the first time in the history of business everything is measurable that's right and that's like just mind-blowing to me but i think is a huge app i only get your thoughts on the application market because I just see a massive tsunami coming of third-party developers and I'm not sure Oracle can handle that I didn't that's my personal opinion counter that I mean I people want to know can Oracle handle an ecosystem of third-party developers absolutely we have shown that before with with Java and I think you see every one of four services having open api's we are coating third-party developers we will be continuing to support them and I think we'll be able to handle it and we need to do that as a part of this ecosystem yeah I mean it's a platform yeah so you have to enable absolutely and that's the open message exactly all right so gosh what's your advice for the people at oracle openworld here and the people watching let's start with the people here on site if they catch this video when are we putting up some snippets before you even get off the set here so one what session should they attend what's where should I get more information what sessions and breakouts and then presentations they goes I have a keynote tomorrow at 11am that I would love for them to attend and outside of that there are some hands-on labs here that they should go look at the products and people who are remote they should go to cloud.oracle.com / management where we have all the services listed and take a look at it and we are really really going to be putting out a very differentiated solution than what is available in the marketplace and I would love for them to check it out and give us feedback for the folks watching online and customers in general when they squint through all the activities a lot of bombs dropping here at Oracle I mean a lot of announcements this is pretty pretty unprecedented what should they look for what are the if you at the point of someone to 11 point data point within your world that's going to get their attention and have them dive in deep what should they look at if they're having issues with their applications today if they're hearing about their application issues first from their customers and not by themselves they should be looking at our solutions to see how they can get ahead of the customers and that's what that's one precise message they can take back
SUMMARY :
on the management side what are you guys
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Charu Kapur, NTT Data & Rachel Mushahwar, AWS & Jumi Barnes, Goldman Sachs | AWS re:Invent 2022
>>Hey everyone. Hello from Las Vegas. Lisa Martin here with you, and I'm on the show floor at Reinvent. But we have a very special program series that the Cube has been doing called Women of the Cloud. It's brought to you by aws and I'm so pleased to have an excellent panel of women leaders in technology and in cloud to talk about their tactical recommendations for you, what they see as found, where they've helped organizations be successful with cloud. Please welcome my three guests, Tara Kapor, president and Chief Revenue Officer, consulting and Digital Transformations, NTT Data. We have Rachel Mu, aws, head of North America, partner sales from aws, and Jimmy Barnes joins us as well, managing director, investment banking engineering at Goldman Sachs. It is so great to have you guys on this power panel. I love it. Thank you for joining me. >>Thank >>You. Let's start with you. Give us a little bit of, of your background at NTT Data and I, and I understand NTT has a big focus on women in technology and in stem. Talk to us a little bit about that and then we'll go around the table. >>Perfect, thank you. Thank you. So brand new role for me at Entity Data. I started three months back and it's a fascinating company. We are about 22 billion in size. We work across industries on multiple innovative use cases. So we are doing a ton of work on edge analytics in the cloud, and that's where we are here with aws. We are also doing a ton of work on the private 5G that we are rolling out and essentially building out industry-wide use cases across financial services, manufacturing, tech, et cetera. Lots of women identity. We essentially have women run cloud program today. We have a gal called Nore Hanson who is our practice leader for cloud. We have Matine who's Latifa, who's our AWS cloud leader. We have Molly Ward who leads up a solutions on the cloud. We have an amazing lady in Mona who leads up our marketing programs. So a fantastic plethora of diverse women driving amazing work identity on cloud. >>That's outstanding to hear because it's one of those things that you can't be what you can't see. Right. We all talk about that. Rachel, talk a little bit about your role and some of the focus that AWS has. I know they're big customer obsession, I'm sure obsessed with other things as well. >>Sure. So Rachel Muir, pleased to be here again. I think this will be my third time. So a big fan of the Cube. I'm fortunate enough to lead our North America partner and channel business, and I'll tell you, I've been at AWS for a little under two years, and honestly, it's been probably the best two years of my career. Just in terms of where the cloud is, where it's headed, the business outcomes that we can deliver with our customers and with our partners is absolutely remarkable. We get to, you know, make the impossible possible every day. So I'm, I'm thrilled to be here and I'm thrilled to, to be part of this inaugural Women of the Cloud panel. >>Oh, I'm prepared to have all three of you. One of the things that feedback, kind of pivoting off what, Rachel, one of the things that you said that one of our guests, some of several of our guests have said is that coming out of Adams keynote this morning, it just seems limitless what AWS can do and I love that it gives me kind of chills what they can do with cloud computing and technology, with its ecosystem of partners with its customers like Goldman Sachs. Jimmy, talk to us a little bit about you, your role at Goldman Sachs. You know, we think of Goldman Sachs is a, is a huge financial institution, but it's also a technology company. >>Yeah. I mean, since the age of 15 I've been super passionate about how we can use technology to transform business and simplify modernized business processes. And it's, I'm so thrilled that I have the opportunity to do that at Goldman Sachs as an engineer. I recently moved about two years ago into the investment banking business and it's, you know, it's best in class, one of the top companies in terms of mergers and acquisitions, IPOs, et cetera. But what surprised me is how technology enables all the businesses across the board. Right? And I get to be leading the digital platform for building out the digital platform for in the investment banking business where we're modernizing and transforming existing businesses. These are not new businesses. It's like sometimes I liken it to trying to change the train while it's moving, right? These are existing businesses, but now we get to modernize and transform on the cloud. Right. Not just efficiency for the business by efficiency for technologists as >>Well. Right, right. Sticking with you, Jimmy. I wanna understand, so you've been, you've been interested in tech since you were young. I only got into tech and accidentally as an adult. I'm curious about your career path, but talk to us about that. What are some of the recommendations that you would have for other women who might be looking at, I wanna be in technology, but I wanna work for some of the big companies and they don't think about the Goldman Sachs or some of the other companies like Walmart that are absolutely technology driven. What's your advice for those women who want to grow their career? >>I also, growing up, I was, I was interested in various things. I, I loved doing hair. I used to do my own hair and I used to do hair for other students at school and I was also interested in running an entertainment company. And I used actually go around performing and singing and dancing with a group of friends, especially at church. But what amazed me is when I landed my first job at a real estate agent and everything was being done manually on paper, I was like, wow, technology can bring transformation anywhere and everywhere. And so whilst I have a myriad of interest, there's so many ways that technology can be applied. There's so many different types of disciplines within technology. It's not, there's hands on, like I'm colder, I like to code, but they're product managers, there are business analysts, there are infrastructure specialist. They're a security specialist. And I think it's about pursuing your passion, right? Pursuing your passion and identifying which aspects of technology peak your interest. And then diving in. >>Love that. Diving in. Rachel, you're shaking your head. You definitely are in alignment with a lot of what >>Duties I am. So, you know, interesting enough, I actually started my career as a civil engineer and eventually made it into, into technology. So very similar. I saw in, you know, heavy highway construction how manual some of these processes were. And mind you, this was before the cloud. And I sat down and wrote a little computer program to automate a lot of these manual tasks. And for me it was about simplification of the customer journey and really figuring out how do you deliver value. You know, on fast forward, say 20 plus years, here I am with AWS who has got this amazing cloud platform with over 200 services. And when I think about what we do in tech, from business transformation to modernizing to helping customers think about how do they create new business models, I've really found, I've really found my sweet spot, and I'll say for anyone who wants to get into tech or even switch careers, there's just a couple words of advice that I have. And it's really two words, just start. >>Yes, >>That's it. Just start. Because sometimes later becomes never. And you know, fuel your passion, be curious, think about new things. Yes. And just >>Start, I love that. Just start, you should get t-shirts made with that. Tell me a little bit about some of your recommendations. Obviously just start is great when follow your passion. What would you say to those out there looking to plan the letter? >>So, you know, my, my story's a little bit like jus because I did not want to be in tech. You know, I wanted an easy life. I did well in school and I wanted to actually be an air hostess. And when I broke that to my father, you know, the standard Indian person, now he did, he, you know, he wanted me to go in and be an engineer. Okay? So I was actually push into computer engineering, graduated. But then really two things today, right? When I look back, really two pieces, two areas I believe, which are really important for success. One is, you know, we need to be competent. And the second is we need to be confident, right? Yes, yes. It's so much easier to be competent because a lot of us diverse women, diverse people tend to over rotate on knowing their technical skills, right? Knowing technical skills important, but you need to know how to potentially apply those to business, right? Be able to define a business roi. And I see Julie nodding because she wants people to come in and give her a business ROI for programs that you're executing at Goldman Sachs. I presume the more difficult part though is confidence. >>Absolutely. It's so hard, especially when, when we're younger, we don't know. Raise your hand because I guarantee you either half the people in the, in the room or on the zoom these days weren't listening or have the same question and are too afraid to ask because they don't have the confidence. That's right. Give me, let's pivot on confidence for a minute, Jim, and let's go back to how would you advise your younger self to find your confidence? >>That's, that's a tough one because I feel like even this older self is still finding exercise to, to be real. But I think it's about, I would say it's not praise. I think it's about praising yourself, like recognizing your accomplishments. When I think about my younger self, I think I, I like to focus more on what I didn't do or what I didn't accomplish, instead of majoring and focusing on all the accomplishments and the achievements and reminding myself of those day after day after day. And I think it's about celebrating your wins. >>I love that. Celebrating your wins. Do you agree, Rachel? >>I do. Here's the hard part, and I look around this table of amazing business leaders and I can guarantee that every single one of us sometime this year woke up and said, oh my gosh, I don't know how to do that. Oh >>Yeah. But >>What we haven't followed that by is, I don't know how to do that yet. Right. And here's the other thing I would tell my younger self is there will be days where every single one of us falls apart. There will be days when we feel like we failed at work. There will be days when you feel like you failed as a parent or you failed as a spouse. There'll be days where you have a kid in the middle of target screaming and crying while you're trying to close a big business deal and you just like, oh my gosh, is this really my life? But what I would tell my younger self is, look, the crying, the chaos, the second guessing yourself, the successes, every single one of those are milestones. And it's triumphant, it's tragic, but every single thing that we have been through is fiercely worthwhile. And it's what got us >>Here. Absolutely. Absolutely. Think of all the trials and tribulations and six and Zacks that got you to this table right now. Yep. So Terry, you brought up confidence. How would you advise the women out there won't say you're gonna know stuff. The women out there now that are watching those that are watching right there. Hi. How would you advise them to really find their, their ability to praise themselves, recognize all of the trials and the tribulations as milestones as Rachel said, and really give themselves a seat at the table, raise their hand regardless of who else is in the room? >>You know, it's a, it's a more complex question just because confidence stems from courage, right? Confidence also stems from the belief that you're going to be treated fairly right now in an organization for you to be treated fairly. You need to have, be surrounded by supporters that are going to promote your voice. And very often women don't invest enough in building that support system around them. Yeah. Right. We have mentors, and mentors are great because they come in and they advise us and they'll tell us what we need to go out and do. We really need a team of sponsors Yes. Who come in and support us in the moment in the business. Give us the informal channel because very often we are not plugged into the informal channel, right. So we don't get those special projects or assignments or even opportunities to prove that we can do the tough task. Yeah. So, you know, my, my advice would be to go out and build a network of sponsors. Yes. And if you don't have one, be a sponsor for someone else. That's right. I love that. Great way to win sponsorship is by extending it todos. >>And sometimes too, it's about, honestly, I didn't even know the difference between a mentor and a sponsor until a few years ago. And I started thinking, who are I? And then I started realizing who they were. That's right. And some of the conversations that we've had on the cube about women in technology, women of the cloud with some of the women leaders have said, build, and this is kind of like, sort of what you were saying, build your own personal board of directors. Yeah. And that, oh, it gives me chills. It's just, it's so important for, for not just women, but anybody, for everybody. But it's so important to do that. And if you, you think about LinkedIn as an example, you have a network, it's there, utilize it, figure out who your mentors are, who your sponsors are, who are gonna help you land the next thing, start building that reputation. But having that board of directors that you can kind of answer to or have some accountability towards, I think is hugely very >>Important. Yeah. >>Very important. I think, you know, just for, just for those that are listening, a really important distinction for me was mentors are people that you have that help you with, Hey, here's the situation that you were just in. They advise you on the situation. Sponsors are the people that stick up for you when you're not in the room to them. Right. Sponsors are the ones that say, Hey, I think so and so not only needs to have a seat at the table, but they need to build the table. And that's a really important delineation. Yeah. Between mentors and sponsors. And everybody's gotta have a sponsor both within their company and outside of their company. Someone that's advocating for them on their behalf when they don't even know it. Yeah. Yeah. >>I love that you said that. Build the table. It reminds me of a quote that I heard from Will I am, I know, very random. It was a podcast he did with Oprah Winfrey on ai. He's very into ai and I was doing a panel on ai, so I was doing a lot of research and he said, similar for Rachel to build the table, don't wait for a door to open. You go build a door. And I just thought, God, that is such brilliant advice. It is. It's hard to do. It is. Especially when, you know, the four of us in this room, there's a lot of women around here, but we are in an environment where we are the minority women of color are also the minority. What do you guys think where tech is in terms of de and I and really focusing on De and I as as really a very focused strategic initiative. Turner, what do you think? >>So, you know, I just, I, I spoke earlier about the women that we have at Entity Data, right? We have a fabulous team of women. And joining this team has been a moment of revelation for me coming in. I think to promote dni, we all need to start giving back, right? Yes. So today, I would love to announce that we at Entity would like to welcome all of you out there. You know, folks that have diverse ideas, you know, ISV, partners with diverse solutions, thought leaders out there who want to contribute into the ecosystem, right? Customers out there who want to work with companies that are socially responsible, right? We want to work with all of you, come back, reach out to us and be a part of the ecosystem because we can build this together, right? AWS has an amazing platform that gives us an opportunity to do things differently. Yes. Right. Entity data is building a women powered cloud team. And I want to really extend that out to everyone else to be a part this ecosystem, >>But a fantastic opportunity. You know, when we talk about diversity and inclusion and equity, it needs to be intentional for organization. It sounds very intentional at ntt. I know that that intention is definitely there at AWS as well. What are your thoughts on where tech is with respect to diversity? Even thought diversity? Because a lot of times we tend to go to our comfort zones. We do. And so we tend to start creating these circles of kind of like, you know, think tanks and they think alike people to go outside of that comfort zone. It's part of building the table, of building the, is the table and getting people from outside your comfort zone to come in and bring in diverse thought. Because can you imagine the potential of technology if we have true thought diversity in an organization? >>Right? It's, it's incredible. So one of the things that I always share with my team is we've got the opportunity to really change the outcome, right? As you know, you talked about Will I am I'm gonna talk about Bono from you too, right? One of, one of his favorite quotes is, we are the people we've been waiting for. Oh, I love that. And when you think about that, that is us. There is no one else that's gonna change the outcome and continue to deliver some of the business outcomes and the innovation that we are if we don't continue to raise our hand and we don't continue to, to inspire the next generation of leaders to do the same thing. And what I've found is when you start openly sharing what your innovation ideas are or how you're leveraging your engineering background, your stories and your successes, and, and frankly, some of your failures become the inspiration for someone you might not even know. Absolutely. And that's the, you know, that's the key. You're right. Inclusion, diversity, equity and accessibility, yes. Have to be at the forefront of every business decision. And I think too often companies think that, you know, inclusion, diversity, equity and accessibility is one thing, and business outcomes are another. And they're not. No, they are one in the same. You can't build business outcomes without also focusing on inclusion, diversity, equity, accessibility. That's the deliberate piece. >>And, and it has to be deliberate. Jimmy, I wanna ask you, we only have a couple of minutes left, but you're a woman in tech, you're a woman of color. What was that like for you? You, you were very intentional knowing when you were quite young. Yeah. What you wanted to do, but how have you navigated that? Because I can't imagine that was easy. >>It wasn't. I remember, I always tell the story and the, the two things that I really wanted to emphasize today when I thought about this panel is rep representation matters and showing up matters, right? And there's a statement, there's a flow, I don't know who it's attributed to, but be the change you want to see. And I remember walking through the doors of Goldman Sachs 15 years ago and not seeing a black female engineer leader, right? And at that point in time, I had a choice. I could be like, oh, there's no one look like, there's no one that looks like me. I don't belong here. Or I could do what I actually did and say, well, I'm gonna be that person. >>Good, >>Right? I'm going to be the chain. I'm going to show up and I am going to have a seat at the table so that other people behind me can also have a seat at the table. And I think that I've had the privilege to work for a company who has been inclusive, who has had the right support system, the right structures in place, so that I can be that person who is the first black woman tech fellow at Goldman Sachs, who is one of the first black females to be promoted up the rank as a, from analysts to managing director at the company. You know, that was not just because I determined that I belong here, but because the company ensure that I felt that I belong. >>Right. >>That's a great point. They ensure that you felt that. Yeah. You need to be able to feel that. Last question, we've only got about a minute left. 2023 is just around the corner. What comes to your mind, Jimmy will stick with you as you head into the new year. >>Sorry, can you repeat >>What comes to mind priorities for 2023 that you're excited about? >>I'm excited about the democratization of data. Yeah. I'm excited about a lot of the announcements today and I, I think there is a, a huge shift going on with this whole concept of marketplaces and data exchanges and data sharing. And I think both internally and externally, people are coming together more. Companies are coming together more to really de democratize and make data available. And data is power. But a lot of our businesses are running, running on insights, right? And we need to bring that data together and I'm really excited about the trends that's going on in cloud, in technology to actually bring the data sets together. >>Touro, what are you most excited about as we head to 2023? >>I think I'm really excited about the possibilities that entity data has right here, right now, city of Las Vegas, we've actually rolled out a smart city project. So saving citizens life, using data edge analytics, machine learning, being able to predict adverse incidents before they happen, and then being able to take remediation action, right? So that's technology actually working in real time to give us tangible results. We also sponsor the Incar races. Lots of work happening there in delivering amazing customer experience across the platform to millions of users real time. So I think I'm just excited about technology coming together, but while that's happening, I think we really need to be mindful at this time that we don't push our planet into per right. We need to be sustainable, we need to be responsible. >>Absolutely. Rachel, take us out. What are you most excited about going into 2023? >>So, you know, there are so many trends that are, that we could talk about, but I'll tell you at aws, you know, we're big. We, we impact the world. So we've gotta be really thoughtful and humble about what it is that we do. So for me, what I'm most excited about is, you know, one of our leadership principles is about, you know, with what broad responsibility brings, you know, you've got to impact sustainability and many of those other things. And for me, I think it's about waking up every day for our customers, for our partners, and for the younger generations. And being better, doing better, and making better for this planet and for, you know, the future generations to come. So >>I think your tag line just start applies to all of that. It does. It has been an absolute pleasure. And then really an honor to talk to you on the program. Thank you all for joining me, sharing your experiences, sharing what you've accomplished, your recommendations for those others who might be our same generation or older or younger. All really beautiful advice. Thank you so much for your time and your insights. We appreciate it. >>Thank you. Thank you. >>For my guests, I'm Lisa Martin. You're watching The Cube, the leader in live enterprise and emerging tech coverage. Thanks for watching.
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It is so great to have you guys on this power panel. Talk to us a little bit about that and then we'll go around the table. So we are doing a ton of work on edge analytics in the That's outstanding to hear because it's one of those things that you can't be what you can't see. the business outcomes that we can deliver with our customers and Jimmy, talk to us a little bit about you, your role at Goldman Sachs. And I get to be leading the digital platform What are some of the recommendations that you would have for other And I think it's about pursuing Rachel, you're shaking your head. So, you know, interesting enough, I actually started my career as a And you know, fuel your passion, be curious, What would you say to And when I broke that to my father, you know, the standard Indian Give me, let's pivot on confidence for a minute, Jim, and let's go back to how would you advise your And I think it's about celebrating your wins. Do you agree, Rachel? don't know how to do that. And here's the other thing I would tell my younger self is there and Zacks that got you to this table right now. And if you don't have one, be a sponsor for someone else. some of the women leaders have said, build, and this is kind of like, sort of what you were saying, build your own personal board Yeah. Sponsors are the people that stick up for you when you're not in the room I love that you said that. You know, folks that have diverse ideas, you know, ISV, And so we tend to start creating these circles of kind of like, you know, think tanks and they think alike And when you think about that, that What you wanted to do, but how have you navigated that? but be the change you want to see. And I think that I've Jimmy will stick with you as you head into the new year. And I think both internally and We need to be sustainable, we need to be responsible. What are you most excited about going into 2023? this planet and for, you know, the future generations to come. And then really an honor to talk to you on the program. Thank you. and emerging tech coverage.
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Ihab Tarazi and Vijay Ramachandran | CUBE Conversation, September 2021
>>Yes. >>Welcome to this cube conversation. I'm Lisa Martin, and I'm joined by two Cube alumni. Please welcome Tarazi, senior vice president and CEO, networking at Dell Technologies. Welcome back. And welcome to the Virtual >>Cube. Thank you. I'm excited about this. Thank you. >>We're gonna have a good conversation, because VJ Ramachandran is also here. VP of product management at VM Ware VJ Welcome back. >>Thank you, Lisa. And happy to be here again. >>So have a lot to unpack. We're on the cusp of the emerald 2021. You guys are making an announcement We want to talk about in the Emmy. Why? It's important will break down the announcement. Go ahead and start. Uh, we'll start with you. Envy me. Why is it important? What is it? All that good stuff? >>Yeah, this is excellent topic, and this is really an important component of infrastructure these days. Um, modern applications are changing how they consume infrastructure. That's because the workloads are evolving. Some of them are ai type machine learning workloads that need very high performance. There's also a continued to end by our customers to put work clothes in public cloud and on um and create a hybrid multi cloud model. Um, and also the new exciting stuff is all have to do with the edge applications and distributing applications everywhere with automation and connectivity to where they need to be operating with, you know, on premise. Uh, so long Storey short, These trends, these new applications, how the deployment models work is really diving the need for envy me becoming the key technology for getting your data and storage and with envy me of a fabric and connectivity is starting to become a very important topic. >>How do you have those discussions with customers in terms of their next steps, especially in the last year and a half will stay with you that we've seen such acceleration of digital transformation. What have those customer conversations? How have they changed? >>Uh, they the conversations have changed in two big ways. One, they really want to discuss outcomes. They know that we can bring, you know, industry leading infrastructure and tools and automation and software. But they really want to discuss outcomes, you know? How do you How do I automate my you know, operations? How do I get to unpack the value of my data? no matter what the data is eyes and where it's coming. So so that's the first big changes. People have shifted completely to outcomes. And the second change is that now there is a really good discussion about performance and sustainability. How do I make sure that I'm meeting my sustainability goals? I'm meeting my performance goals instead of just discussing one piece of the solution. >>Got a BJ wanna bring you into the conversation? Now talk to me about BME Front and its evolution from VM Ware's perspective and some of the changes that you've seen in the last dynamic 18 months in the market. >>Yeah, thanks. Thanks for being, You know, I think that we are living in interesting times now. What we're seeing from the standpoint is that applications are evolving rapidly, demanding more performance, local agencies, higher throughput. And these are modern applications and NBA me. What we're seeing is that NBN me as a protocol is becoming the de facto sort of connected with protocol police applications at the same time. What we're also seeing is that the infrastructure team at scale and then deploy these applications at scale They are moving towards a disaggregated architecture in the data centre, and all the employees are going towards this because they want to emulate, you know, the public club. And so you know what's exciting about this announcement and sort of the, you know, the you know, what we are delivering together the bell is that the combination of Indian P plus T c p I P provides in sort of brings both these worlds together. It provides performance and legacies that these new applications these these new modern applications need at the same time provides a way that is disaggregated. And so the combination of these two is You know, it's, uh, industries changing, in my opinion, and and we'll see that this will become sort of the the fact that we can deploy infrastructure in our data centres. And that's what we're seeing in December. >>Got it? Thank you. Let's go ahead and unpack that announcement. That VJ alluded to telling them or have announced an end to end envy. Any TCP ecosystem solution back over to you. You have talked to me about this. What is it? What are some of the core components and we'll get into >>benefits. Perfect. So So we both see envy any of D c P I p as this new future storage connectivity. And it is a pivotal moment for the industry. There's always been debate about what protocols you use for connecting storage for performance speed. But the time has come for envy any of the TCP IP to become the defect of future protocol. Uh, what we're announcing is, first of all, we're announcing a new, uh, software product called S S s from Dell. And that software product will automate the discovery provisioning and automate the setup of all the storage networking How you connect all the hosts to the storage targets in a fully automated way. This is something that has been very complex, very hard to do manually in a one by one. So that's a whole new software product. Number two announcing the availability of envy me over TCP I pee on our key Dell products, which is power store power edge, which is our server product, and also power switch, which is our networking product. So the combination of the new software tool S. S s and all the availability of envy. Emile, that TCP ip on our compute storage and networking that gives customers the ecosystem to be able to use it along with the capabilities that are essential for it. >>Yeah, And DJ head was going to add to what you have just said. You know, of course, being there is fully committed to bringing this, uh, option of NBA me, You know, along with the partnership, Del, um you know, to the market and has been our partnership has been instrumental in bringing this to the market. Now, you know, the cool thing about this particular announcement and, you know, and what to bring to the market is that the smart fabric, uh, services manager is actually built into the centre. So, you know, from the understand point of this fear administrator being the administrator can so stay with them. They're the centre, um, you know, console and be able to manage provision, manage and monitor, Um, you know, in the in your fabric, uh, me or the PCP, uh, connexions. And so it's sort of bridges the gap between storage and, uh, world with you will >>and also the V sphere. The launch of, uh, envy any of the TCP I p and V. Sphere seven you see is the last component of this announcement between putting S S s inside the Centre V sphere enhancements and the Dell products. The end result is the customers get this bump and new capability. However, they can continue to use all the management tools that they have today. So this is an easy automated lift and they get this new capability >>an easy automated lift. Though that sounds like magic to I'm sure a lot of folks ears sticking with you talk to me about this is a new direction for Dell and talk to me a little bit about that and the impact. >>I think the new direction is that we have supported multiple protocols for connectivity fibre channel R d m A. But I think now, as we go to this next evolution and the fact that the world is going to multi cloud and edge and distribution, the new direction here is we're putting a lot of investment and energy, both of us into making envy me over TCP IP automated and high performance. As VJ said, we've been collaborating for over two years on this project jointly that included new standards, new innovation, new software capabilities, new divers on all our products. So although we make it sounds simple. This is a company wide on both sides. Innovation effort to make this possible. >>Absolutely a big innovation effort. DJ, Go >>ahead. And I was gonna say, you know, just to second what we have said, we work as one team you know, begin to companies. But we work as one team and really brought some innovative features and functionality out of the market and, you know, too excited to see this come to fruition. We're working on it for two years now. >>So two years before the pandemic started, I'm curious to get both of your perspectives on how the tunnels of the economy and the market of the last 18 months have influenced. We've seen so much acceleration in digital. How has this interesting time affected or accelerated what you're announcing? Or has it? >>I will start on V say, you know, whatever you'd like to add is that I think what we have seen during the pandemic is acceleration of adopting of a cloud operating model by using more of public cloud but also using automation that we have built into our products, both vm ware and L. And so this kind of automated type software tools falls completely in line with that. You know, customers more and more want the infrastructure automated and they wanted cloud light with as a service, usage based type models. And we're both invested into that area. >>Yeah, And you know, Lisa, if anything at all in the last, uh, two years since the Pandemic, what we're what we're refining is that it's no longer a decision between on Prem or Public Club, But it's actually and and decision, you know, it's on from and public clothes is truly becoming a multicultural world. And so to make this multi cloud, and then customers deploy the right applications and write workload in the right place, depending on the needs. And so, in this multiple world, having this automation and having a consistent way too, uh, to manage infrastructure, uh, in an automated fashion across these multi coloured deployments is becoming key. And so this is a key component of that. What we did, what pronouncing is a key component of that kind of a model, that customers are moving to >>it. Let's talk about the customer benefits you both mentioned performance sustainability, low latency, high throughput. Give me examples of each of those of how this technology will deliver that for customers across industries. >>This is where we've really enjoyed working together and with VJ and his team did fantastic work to test the value of having this partnership is the end to end. Customer sees the performance and benefit from the eyes of using both the software stack from Dell and VM Ware as well as the infrastructure below it. And we've been able to jointly test what the customer will see and what we have seen, which I have to say was a surprise to us. We expected benefits, but even it was one of those Aha moment. Oh my God, this is We thought it was good, but it turned out to be even better. So on the performance side, it's about 2.5 to 3 times the performance of ice crazy, which is the other technology we would compare this to on the Latin Seaside is 70% less latency and uses even less capacity in terms of CPU. We have not seen that kind of performance improvement from a protocol for a very long time. Changing networking protocols usually gives you some little benefit, but not this kind of a step functional performance. So I think the customers will be very excited about this. >>These are some numbers, PJ go ahead and extend onto that. >>No, I You know, I have nothing more to add because, you know, we having extremely encouraged by the performance numbers that you know, that we saw and, you know, and and and here, this red we actually exceeded expected our expectations, right? And if you, the enemy, was the was the right way to sort of, you know, delivered performance. But, uh, you know, to see this kind of results in real world as, uh is very encouraging. >>You guys said there are several sessions at BM world that are covering this topic. I'd like to get both of your perspectives on some of the sessions that you're presenting in and some of the key takeaways that the audience can learn. I have. We'll start with you. >>Yeah. I mean, we're starting with a session to explain the overall strategy, and we're gonna show demos. Exactly how would you use VM Ware software and L s F s s to configure Implement. How does that compare to the customer experience today? That's going to be an exciting session between myself and Paul Turner, who is the VP of product. Also at the end, where I think that that kind of with these visual demos, people will see how fast automated that is, which is really the message here. Then we have multiple sessions from our key technical experts. We're gonna go through a deep technology review of the stack and how to do it. And the functionality. >>Yeah, and Lisa on on the other side of obviously you have a number of sessions on various topics. Uh, on storage. The one that I want to call out is there's a session that I'm doing with Mark flashing who's a city or for storage and for club platform. Really. And we are discussing VMS vision and strategy for storage and availability, and NBA me is certainly a key part of that. But as we just talked earlier, the whole automation and the multiplayer aspect of, uh of the parameters it's critical. So you know. So we're sharing what? How we are approaching this whole multiple world. Um, in this, you know, with storeys and availability innovation. So I'm really excited about that. >>So a lot of news coming out on the nbn me over TCP ip front talked about the collaboration acceleration of that, the directional shift in terms of go to market and availability. When where can existing customers go to learn more information? What's the joint gtm that Del. And then we have, >>uh I think you wanna start on V sphere and I'll add or >>Okay, >>so all the products we talked about today from V sphere seven dot you the power store power edge All of them will be available starting immediately after VM World And between October and November, everything we talked about will be available And during the, um, world, we will announce how customers can use it downloaded by it. As we said before, because they are a s s s is implemented into the centre. This will be a familiar way for customers to use it downloaded and implemented, and a new lease of these fears something customers are used to. We have many customers on power store, so they will be getting a new software at least an update with the new functionality. We we do plan to care developer experience, modules, sandboxes for people to play with will make more announcements on that in the future. >>Yeah, And this, You know, as you have said, this functionality is built into, you know, the spear and recenter as well. And so the next really next release of the sphere will have this functionality. And you'll see a lot of noise about this at the world. That sort of our coming out party. Mm. >>Excellent. Well, it sounds like it's going to be a good coming out party with a lot of information to come around. The emerald timeframe, some great education and deep technical dive is that you guys and your teams will be providing to customers in all industries, which I'm sure they will be very much appreciative of. I appreciate both of you coming on sharing with me the news. What's exciting about this? The impact that's going to make and we look forward to hearing some of the news as it gets rolled out. >>Thank you. >>Thank you so much. >>Lisa. Thank >>you. Great to have you guys for Ihab Tarazi and VJ Ramachandran. I'm Lisa Martin. You're watching a cube >>conversation? Mm.
SUMMARY :
Welcome to this cube conversation. Thank you. We're gonna have a good conversation, because VJ Ramachandran is also here. We're on the cusp of the emerald 2021. Um, and also the new exciting stuff especially in the last year and a half will stay with you that we've seen such acceleration of digital And the second change is that now there is a really good discussion about performance VM Ware's perspective and some of the changes that you've seen in the last And so the combination of these two is You know, it's, uh, What are some of the core components and we'll get into But the time has come for envy any of the TCP IP to become They're the centre, um, you know, console and be able to manage provision, and also the V sphere. folks ears sticking with you talk to me about this is a new direction for Dell and talk cloud and edge and distribution, the new direction here is we're putting a lot of investment Absolutely a big innovation effort. and functionality out of the market and, you know, too excited to see this come to fruition. the tunnels of the economy and the market of the last 18 months have influenced. I will start on V say, you know, whatever you'd like to add is that I think what we have Yeah, And you know, Lisa, if anything at all in the last, uh, it. Let's talk about the customer benefits you both mentioned So on the performance side, it's about 2.5 to 3 times the performance encouraged by the performance numbers that you know, that we saw and, that the audience can learn. review of the stack and how to do it. Yeah, and Lisa on on the other side of obviously you have a number of sessions on various topics. So a lot of news coming out on the nbn me over TCP ip front so all the products we talked about today from V sphere seven dot you the power And so the next really next release of the sphere will have this functionality. The impact that's going to make and we look forward to hearing some of the news as it gets rolled out. Great to have you guys for Ihab Tarazi and VJ Ramachandran. Mm.
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vSphere Online Launch Event
[Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] hello and welcome to the Palo Alto students leaky bomb John free we're here for a special cube conversation and special report big news from VMware to discuss the launch of the availability of vSphere seven I'm here with Chris Prasad SVP and general manager of the vSphere business and cloud platform business unit and Paul Turner VP a VP of Product Management guys thanks for coming in and talking about the big news thank you for having us you guys announced some interesting things back in march around containers kubernetes and the vSphere there's just about the hard news what's being announced today we are announcing the general availability of vSphere 7 John it's by far the biggest release that we have done in the last 10 years we previewed it this project Pacific a few months ago with this release we are putting kubernetes native support into the vSphere platform what that allows us to do is give customers the ability to run both modern applications based on kubernetes and containers as well as traditional VM based applications on the same platform and it also allows the IT departments to provide their developers cloud operating model using the VMware cloud foundation that is powered by this release this is a key part of our tansu portfolio of solutions and products that we announced this year and it is targeted fully at the developers of modern applications and the specific news is vSphere 7 is general available you know really vSphere 7 yes ok that so let's on the trend line here the relevance is what what's the big trend line that this is riding obviously we saw the announcements at VMworld last year and throughout the year there's a lot of buzz Pat Keller says there's a big wave here with kubernetes what does this announcement mean for you guys with the marketplace trend yeah so what kubernetes is really about is people trying to have an agile operation they're trying to modernize their IT applications and they the best way to do that is build off your current platform expanded and and make it a an innovative a agile platform for you to run kubernetes applications and VM applications together I'm not just that customers are also looking at being able to manage a hybrid cloud environment both on Prem and public cloud together so they want to be able to evolve and modernize their application stack but modernize their infrastructure stack which means hybrid cloud operations with innovative applications kubernetes or container based applications and VMs what's excited about this trend Chris we were talking with us at VMworld last year and we've had many conversations around cloud native but you're seeing cloud native becoming the operating model for modern business I mean this is really the move to the cloud if you look at the successful enterprises even the suppliers the on-premises piece if not move to the cloud native marketplace technologies the on premise isn't effective so it's not so much on premises going away we know it's not but it's turning into cloud native this is the move to the cloud generally this is a big wave yeah absolutely I mean if Jon if you think about it on-premise we have significant market share by far the leader in the market and so what we are trying to do with this is to allow customers to use the current platform they are using but bring their application modern application development on top of the same platform today customers tend to set up stacks which are different right so you have a kubernetes stack you have a stack for the traditional applications you have operators and administrators who are specialized in kubernetes on one side and you have the traditional VM operators on the other side with this move what we are saying is that you can be on the same common platform you can have the same administrators who are used to administering the environment that you already had and at the same time offer the developers what they like which is kubernetes dial-tone that they can come and deploy their applications on the same platform that you use for traditional applications yep all Pat said Cuba is gonna be the dial tone on the internet most Millennials might even know what dial tone is but a buddy mince is is that's the key fabric there's gonna work a straight and you know we've heard over the years skill gap skill gap not a lot of skills out there but when you look at the reality of skills gap it's really about skills gaps and shortages not enough people most CIOs and chief and major security are so that we talk to you say I don't want to fork my development teams I don't want to have three separate teams so I don't have to I want to have automation I want an operating model that's not gonna be fragmented this kind of speaks to this whole idea of you know interoperability and multi-cloud this seems to be the next big way behind ibrid I think it I think it is the next big wake the the thing that customers are looking for is a cloud operating model they like the ability for developers to be able to invoke new services on demand in a very agile way and we want to bring that cloud operating model to on-prem to Google cloud to Amazon Cloud to Microsoft cloud to any of our VC peepee partners you get the same cloud operating experience and it's all driven by a kubernetes based dial-tone it's effective and available within this platform so by bringing a single infrastructure platform that can one run in this hybrid manner and give you the cloud operating agility that developers are looking for that's what's key in version seven says Pat Kelsey near me when he says dial tone of the internet kubernetes does he mean always on or what does he mean specifically just that it's always available what's what says what's the meaning behind that that phrase the the first thing he means is that developers can come to the infrastructure which is the VMware cloud foundation and be able to work with a set of api's that are kubernetes api s-- so developers understand that they're looking for that they understand that dial tone right and you come to our VMware cloud foundation that runs across all these clouds you get the same API said that you can use to deploy their application okay so let's get into the value here of vSphere seven how does VMware vSphere 7 specifically help customers isn't just bolting on kubernetes to vSphere some will say is it that's simple or are you running product management no it's not that easy it's yeah some people say hey just Bolton kubernetes on vSphere it's it's not that easy so so one of the things if if anybody's actually tried deploying kubernetes first it's it's highly complicated um so so definitely one of the things that we're bringing is you call it a bolt on but it's certainly not like that we are making it incredibly simple you talked about IT operational shortages customers want to be able to deploy kubernetes environments in a very simple way the easiest way that we can you can do that is take your existing environment that are out ninety percent of IT and just turn on turn on the kubernetes dial tone and it is as simple as that now it's much more than that in version 7 as well we're bringing in a couple things that are very important you also have to be able to manage at scale just like you would in the cloud you want to be able to have infrastructure almost self-managed and upgrade and lifecycle manage itself and so we're bringing in a new way of managing infrastructure so that you can manage just large scale environments both on-premise and public cloud environments and scale and then associated with that as well is you must make it secure so there's a lot of enhancements we're building into the platform around what we call intrinsic security which is how can we actually build in truly a trusted platform for your developers and IIT yeah I mean I I was just going to touch on your point about the shortage of IT staff and how we are addressing that here the the way we are addressing that is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with kubernetes the same way administered the older laces so they don't have to learn anything new they're just working the same way we are not changing any tools process technologies so same as it was before same as it was before more capable dealer and developers can come in and they see new capabilities around kubernetes so it's best of both worlds and what was the pain point that you guys are so obviously the ease-of-use is critical Asti operationally I get that as you look at the cloud native developer Saiga's infrastructure as code means as app developers on the other side taking advantage of it what's the real pain point that you guys are solving with vSphere 7 so I think it's it's it's multiple factors so so first is we've we've talked about agility a few times right there is DevOps as a real trend inside an IT organizations they need to be able to build and deliver applications much quicker they need to be able to respond to the business and to do that what they are doing is is they need infrastructure that is on demand so what what we're really doing in the core kubernetes kind of enablement is allowing that on-demand fulfillment of infrastructure so you get that agility that you need but it's it's not just tied to modern applications it's also your all of your existing business applications and your monitoring applications on one platform which means that you know you've got a very simple and and low-cost way of managing large-scale IT infrastructure so that's a that's a huge piece as well and and then I I do want to emphasize a couple of other things it's we're also bringing in new capabilities for AI and m/l applications for sa P Hana databases where we can actually scale to some of the largest business applications out there and you have all of the capabilities like like the GPU awareness and FPGA were FPGA awareness that we built into the platform so that you can truly run this as the fastest accelerated platform for your most extreme applications so you've got the ability to run those applications as well as your kubernetes and container based applications that's the accelerated application innovation piece of the announcement right that's right yeah it's it's it's quite powerful that we've actually brought in you know basically new hardware awareness into the product and expose that to your developers whether that's through containers or through VMs Chris I want to get your thoughts on the ecosystem and then the community but I want to just dig into one feature you mentioned I get the lifestyle improvement a life cycle improvement I get the application acceleration innovation but the intrinsic security is interesting could you take a minute explain what that is yeah so there's there's a few different aspects one is looking at how can we actually provide a trusted environment and that means that you need to have a way that the the key management that even your administrator is not able to get keys to the kingdom as we would call it you you want to have a controlled environment that you know some of the worst security challenges inside and some of the companies has been your Intel or internal IT staff so you've got to have a way that you can run a trusted environment in independent we've got these fair trust Authority that we released in version 7 that actually gives you a a secure environment for actually managing your keys to the kingdom effectively your certificates so you've got this you know continuous runtime now not only that we've actually gone and taken our carbon black features and we're actually building in full support for carbon black into the platform so that you've got negative security of even your application ecosystem yeah that's been coming up a lot conversations the carbon black in the security piece Chris obviously have vsphere everywhere having that operating model makes a lot of sense but you have a lot of touch points you got cloud hyper scale is got the edge you got partners so the other dominant market share and private cloud we are on Amazon as you well know as your Google IBM cloud Oracle cloud so all the major clouds there is a vSphere stack running so it allows customers if you think about it right it allows customers to have the same operating model irrespective where their workload is residing they can set policies compliance security they said it once it applies to all their environments across this hybrid cloud and it's all for a supported by our VMware cloud foundation which is powered by vSphere 7 yeah I think having that the cloud is API based having connection points and having that reliable easy to use is critical operating model all right guys so let's summarize the announcement what do you guys take Derek take away from this vSphere 7 what is the bottom line what's what's it really mean I think what we're if we look at it for developers we are democratizing kubernetes we already are in 90% of IT environments out there are running vSphere we are bringing to every one of those be sphere environments and all of the virtual infrastructure administrators they can now manage kubernetes environments you can you can manage it by simply upgrading your environment that's a really nice position rather than having independent kind of environments you need to manage so so I think that's that is one of the key things that's in here the other thing though is there is I don't think any other platform out there that other than vSphere that can run in your data center in Google's in Amazon's in Microsoft's in you know thousands of VC PP partners you have one hybrid platform that you can run with and that's got operational benefits that's got efficiency benefits that's got agility benefits yeah I just add to that and say that look we want to meet customers where they are in their journey and we want to enable them to make business decisions without technology getting in the way and I think the announcement that we made today with vSphere 7 is going to help them accelerate their digital transformation journey without making trade-offs on people process and technology and there's more to come that we're laser focused on making our platform the best in the industry for running all kinds of applications and the best platform for a hybrid and multi cloud and so you'll see more capabilities coming in the future stay tuned oh one final question on this news announcement which is this awesome vSphere core product for you guys if I'm the customer tell me why it's gonna be important five years from now because of what I just said it is the only platform that is going to be running across all the public clouds right which will allow you to have an operational model that is consistent across the clouds so think about it if you go to Amazon native and then you have orc Lord and as your you're going to have different tools different processes different people trained to work with those clouds but when you come to VMware and you use our cloud foundation you have one operating model across all these environments and that's going to be game-changing great stuff great stuff thanks for unpacking that for us graduates on the insulin Thank You Vera bees fear 7 News special report here inside the cube conversation I'm John Farrar your thanks for watch [Music] and welcome back everybody Jeff Rick here with the cube we are having a very special Q conversation and kind of the the ongoing unveil if you will of the new VMware vSphere 7 dot gonna get a little bit more of a technical deep dive here today we're excited to have a longtime cube alumni kit Kolbert here is the vp and CTO cloud platform at being work it great to see you yeah and and new to the cube jared rose off he's a senior director of product management at VMware and I'm guessin had a whole lot to do with this build so Jared first off congratulations for birthing this new release and great to have you on board alright so let's just jump into it from kind of a technical aspect what is so different about vSphere seven yeah great so vSphere seven baek's kubernetes right into the virtualization platform and so this means that as a developer I can now use kubernetes to actually provision and control workloads inside of my vSphere environment and it means as an IT admin I'm actually able to deliver kubernetes and containers to my developers really easily right on top of the platform I already run so I think we had kind of a sneaking suspicion that that might be coming when the with the acquisition of the hefty Oh team so really exciting news and I think it you tease it out quite a bit at VMware last year about really enabling customers to deploy workloads across environments regardless of whether that's on Prem public cloud this public cloud that public cloud so this really is the the realization of that vision yes yeah so we talked at VMworld about project Pacific right this technology preview and as Jared mentioned of what that was was how do we take kubernetes and really build it into vSphere as you know we had a hybrid cloud vision for quite a while now how do we proliferate vSphere to as many different locations as possible now part of the broader VMware cloud foundation portfolio and you know as we've gotten more and more of these instances in the cloud on-premises at the edge with service providers there's a secondary question how do we actually evolve that platform so it can support not just the existing workloads but also modern work clothes as well right all right so I think you brought some pictures for us a little demo so why don't ya well into there and let's see what it looks like you guys can cube the demo yes we're gonna start off looking at a developer actually working with the new VMware cloud foundation for an vSphere 7 so what you're seeing here is the developers actually using kubernetes to deploy kubernetes the self eating watermelon right so the developer uses this kubernetes declarative syntax where they can describe a whole kubernetes cluster and the whole developer experience now is driven by kubernetes they can use the coop control tool and all of the ecosystem of kubernetes api is and tool chains to provision workloads right into vSphere and so you know that's not just provisioning workloads though this is also key to the developer being able to explore the things they've already deployed so go look at hey what's the IP address that got allocated to that or what's the CPU load on this you know workload I just deployed on top of kubernetes we've integrated a container registry into vSphere so here we see a developer pushing and pulling container images and you know one of the amazing things about this is from an infrastructure as code standpoint now the developers infrastructure as well as their software is all unified in source control I can check in not just my code but also the description of the kubernetes environment and storage and networking and all the things that are required to run that app so now we're looking at a sort of a side-by-side view where on the right hand side is the developer continuing to deploy some pieces of their application and on the left-hand side we see V Center and what's key here is that as the developer deploys new things through kubernetes those are showing up right inside of the V center console and so the developer and IT are seeing exactly the same things with the same names and so this means what a developer calls their IT department says hey I got a problem with my database we don't spend the next hour trying to figure out which VM they're talking about they got the same name they say they see the same information so what we're gonna do is that you know we're gonna push the the developer screen aside and start digging into the vSphere experience and you know what you'll see here is that V Center is the V Center you've already known and loved but what's different is that now it's much more application focused so here we see a new screen inside of V Center vSphere namespaces and so these vSphere namespaces represent whole logical applications like a whole distributed system now as a single object inside a V Center and when I click into one of these apps this is a managed object inside of e spear I can click on permissions and I can decide which developers have the permission to deploy or read the configuration of one of these namespaces I can hook this into my Active Directory infrastructure so I can use the same you know corporate credentials to access the system I tap into all my existing storage so you know this platform works with all of the existing vSphere storage providers can use storage policy based management to provide storage for kubernetes and it's hooked in with things like DRS right so I can define quotas and limits for CPU and memory and all that's going to be enforced by Drs inside the cluster and again as an as an admin I'm just using vSphere but to the developer they're getting a whole kubernetes experience out of this platform now vSphere also now sucks in all this information from the kubernetes environment so besides you know seeing the VMS and and things that developers have deployed I can see all of the desired state specifications all the different kubernetes objects that the developers have created the compute network and storage objects they're all integrated right inside the the vCenter console and so once again from a diagnostics and troubleshooting perspective this data is invaluable it often saves hours just in trying to figure out what what we're even talking about when we're trying to resolve an issue so the you know as you can see this is all baked right into V Center the V Center experience isn't transformed a lot we get a lot of VI admins who look at this and say where's the kubernetes and they're surprised that like they've been managing kubernetes all this time it just looks it looks like the vSphere experience they've already got but all those kubernetes objects the pods and containers kubernetes clusters load balancer stores they're all represented right there natively in the V Center UI and so we're able to take all of that and make it work for your existing VI admins well that's a it's pretty it's pretty wild you know it really builds off the vision that again I think you kind of outlined kid teased out it at VMworld which was you know the IT still sees vSphere which is what they want to see when they're used to seeing but devs siku Nettie's and really bringing those together in a unified environment so that depending on what your job is and what you're working on that's what you're gonna see in this kind of unified environment yeah yeah as the demo showed it is still vSphere at the center but now there's two different experiences that you can have interacting with vSphere the kubernetes base one which is of course great for developers and DevOps type folks as well as the traditional vSphere interface API is which is great for VI admins and IT operations right and then and really it was interesting to you tease that a lot that was a good little preview of people knew they're watching but you talked about really cloud journey and and kind of this bifurcation of kind of classical school apps that are that are running in their classic memes and then kind of the modern you know county cloud native applications built on kubernetes and youyou outlined a really interesting thing that people often talk about the two ends of the spectrum and getting from one to the other but not really about kind of the messy middle if you will and this is really enabling people to pick where along that spectrum they can move their workloads or move their apps ya know I think we think a lot about it like that that we look at we talk to customers and all of them have very clear visions on where they want to go their future state architecture and that involves embracing cloud it involves modernizing applications and you know as you mentioned that it's it's challenging for them because I think what a lot of customers see is this kind of these two extremes either you're here where you are kind of the old current world and you got the bright Nirvana future on the far end there and they believe it's the only way to get there is to kind of make a leap from one side to the other that you have to kind of change everything out from underneath you and that's obviously very expensive very time-consuming and very error-prone as well there's a lot of things that can go wrong there and so I think what we're doing differently at VMware is really to your point as you call it the the messy middle I would say it's more like how do we offer stepping stones along that journey rather than making this one giant leap we had to invest all this time and resources how come you able people to make smaller incremental steps each of which have a lot of business value but don't have a huge amount of cost right and its really enabling kind of this next gen application where there's a lot of things that are different about about one of the fundamental things is we're now the application defines a reach sources that it needs to operate versus the resources defining kind of the capabilities of what the what the application can't do and that's where everybody is moving as quickly as as makes sense you said not all applications need to make that move but most of them should and most of them are and most of them are at least making that journey you see that yeah definitely I mean I think that you know certainly this is one of the big evolutions we're making in vSphere from you know looking historically at how we managed infrastructure one of things we enable in VCR 7 is how we manage applications right so a lot of the things you would do in infrastructure management of setting up security rules or encryption settings or you know your your resource allocation you would do this in terms of your physical and virtual infrastructure you talk about it in terms of this VM is going to be encrypted or this VM is gonna have this firewall rule and what we do in vSphere 7 is elevate all of that to application centric management so you actually look at an application and say I want this application to be constrained to this much CPU or I want this application to be have these security rules on it and so that shifts the focus of management really up to the application level right yeah and like I kind of even zoom back a little bit there and say you know if you look back one thing we did was something like V San before that people had to put policies on a LUN you know an actual storage LUN and a storage array and then by virtue of a workload being placed on that array it inherited certain policies right and so these have turned that around allows you to put the policy on the VM but what jerez talking about now is that for a modern workload a modern were close not a single VM it's it's a collection of different things you've got some containers in there some VMs probably distributed maybe even some on-prem some in the cloud and so how do you start managing that more holistically and this notion of really having an application as a first-class entity that you can now manage inside of vSphere it's really powerful and very simplifying one right and why this is important is because it's this application centric point of view which enables the digital transformation that people are talking about all the time that's it's a nice big word but the rubber hits the road is how do you execute and deliver applications and more importantly how do you continue to evolve them and change them you know based on either customer demands or competitive demands or just changes in the marketplace yeah well you look at something like a modern app that maybe has a hundred VMs that are part of it and you take something like compliance right so today if I want to check of this app is compliant I got to go look at every individual VM and make sure it's locked down and hardened and secured the right way but now instead what I can do is I can just look at that one application object inside of each Center set the right security settings on that and I can be assured that all the different objects inside of it are gonna inherit that stuff so it really simplifies that it also makes it so that that admin can handle much larger applications you know if you think about vCenter today you might log in and see a thousand VMs in your inventory when you log in with vSphere seven what you see is a few dozen applications so a single admin can manage a much larger pool of infrastructure many more applications and they could before because we automate so much of that operation and it's not just the scale part which is obviously really important but it's also the rate of change and this notion of how do we enable developers to get what they want to get done done ie building applications well at the same time enabling the IT operations teams to put the right sort of guardrails in place around compliance and security performance concerns these sorts of elements and so being by being able to have the IT operations team really manage that logical application at that more abstract level and then have the developer be able to push in new containers or new VMs or whatever they need inside of that abstraction it actually allows those two teams to work actually together and work together better they're not stepping over each other but in fact now they can both get what they need to get done done and do so as quickly as possible but while also being safe and in compliance is ready fourth so there's a lot more to this is a very significant release right again a lot of foreshadowing if you go out and read the tea leaves that's a pretty significant you know kind of RER context or many many parts of ease of beer so beyond the kubernetes you know kind of what are some of the other things that are coming out and there's a very significant release yeah it's a great question because we tend to talk a lot about kubernetes what was project Pacific but is now just part of vSphere and certainly that is a very large aspect of it but to your point you know vSphere 7 is a massive release with all sorts of other features and so instead of a demo here let's pull up with some slides right look at what's there so outside of kubernetes there's kind of three main categories that we think about when we look at vSphere seven so the first first one is simplified lifecycle management and then really focus on security it's a second one and then applications as well out both including you know the cloud native apps that don't fit in the kubernetes bucket as well as others and so we go on the first one the first column there there's a ton of stuff that we're doing around simplifying life cycle so let's go to the next slide here where we can dive in a little bit more to the specifics so we have this new technology vSphere lifecycle management VL cm and the idea here is how do we dramatically simplify upgrades lifecycle management of the ESX clusters and ESX hosts how do we make them more declarative with a single image you can now specify for an entire cluster we find that a lot of our vSphere admins especially at larger scales have a really tough time doing this there's a lot of in and out today it's somewhat tricky to do and so we want to make it really really simple and really easy to automate as well so if you're doing kubernetes on kubernetes I suppose you're gonna have automation on automation right because they're upgrading to the sevens is probably not any consequent inconsequential tasks mm-hm and yeah and going forward and allowing you know as we start moving to deliver a lot of this great VCR functionality at a more rapid clip how do we enable our customers to take advantage of all those great things we're putting out there as well right next big thing you talk about is security yep we just got back from RSA thank goodness we got that that show in before all the badness started yeah but everyone always talked about security's got to be baked in from the bottom to the top yeah talk about kind of the the changes in the security so done a lot of things around security things around identity Federation things around simplifying certificate management you know dramatic simplifications there across the board one I want to focus on here on the next slide is actually what we call vSphere trust Authority and so with that one what we're looking at here is how do we reduce the potential attack surfaces and really ensure there's a trusted computing base when we talk to customers what we find is that they're nervous about a lot of different threats including even internal ones right how do they know all the folks that work for them can be fully trusted and obviously if you're hiring someone you somewhat trust them but you know what what's how do you implement that the concept of least privilege right or zero trust right yeah topic exactly so the idea with trust authorities that we can specify a small number of physical ESX hosts that you can really lock down and sure fully secure those can be managed by a special vCenter server which is in turn very lockdown only a few people have access to it and then those hosts and that vCenter can then manage other hosts that are untrusted and can use attestation to actually prove that okay these untrusted hosts haven't been modified we know they're okay so they're okay to actually run workloads on they're okay to put data on and that sort of thing so is this kind of like building block approach to ensure that businesses can have a very small trust base off of which they can build to include their entire vSphere environment right and then the third kind of leg of the stool is you know just better leveraging you know kind of a more complex asset ecosystem if you know what things like FPGAs and GPUs and you know kind of all of the various components that power these different applications which now the application could draw the appropriate resources as needed so you've done a lot of work here as well yeah there's a ton of innovation happening in the hardware space as you mentioned all sort of accelerators coming out we all know about GPUs and obviously what they can do for machine learning and AI type use cases not to mention 3d rendering but you know FPGAs and all sorts of other things coming down the pike as well there and so what we found is that as customers try to roll these out they have a lot of the same problems that we saw in the very early days of virtualization ie silos of specialized hardware that different teams were using and you know what you find is all things we found before you found we find very low utilization rates inability to automate that inability to manage that well putting security and compliance and so forth and so this is really the reality that we see at most customers and it's funny because and some ones you think well well shouldn't we be past this as an industry shouldn't we have solved this already you know we did this with virtualization but as it turns out the virtualization we did was for compute and then storage and network but now we really needed to virtualize all these accelerators and so that's where this bit fusion technology that we're including now with vSphere it really comes to the forefront so if you see in the current slide we're showing here the challenge is that just these separate pools of infrastructure how do you manage all that and so if you go to the we go to the next slide what we see is that with bit fusion you can do the same thing that we saw with compute virtualization you can now pool all these different silos infrastructure together so they become one big pool of GPUs of infrastructure that anyone in an organization can use we can you know have multiple people sharing a GPU we can do it very dynamically and the great part of it is is that it's really easy for these folks to use they don't even need to think about it in fact integrates seamlessly with their existing workflows so it's pretty it's pretty trick is because the classifications of the assets now are much much larger much varied and much more workload specific right that's really the opportunities flash they are they're good guys are diverse yeah and so like you know a couple other things just I don't have a slide on it but just things we're doing to our base capabilities things around DRS and vmotion really massive evolutions there as well to support a lot of these bigger workloads right so you look at some of the massive sa P Hana or Oracle databases and how do we ensure that the emotion can scale to handle those without impacting their performance or anything else they're making DRS smarter about how it does load balancing and so forth right now a lot of this stuff not just kind of brand new cool new accelerator stuff but it's also how do we ensure the core ass people have already been running for many years we continue to keep up with the innovation and scale there as well right all right so do I give you the last word you've been working on this for a while there's a whole bunch of admins that have to sit and punch keys what do you what do you tell them what should they be excited about what are you excited for them in this new release I think what I'm excited about is how you know IT can really be an enabler of the transformation of modern apps right I think today you look at a lot of these organizations and what ends up happening is the app team ends up sort of building their own infrastructure on top of IT infrastructure right and so now I think we can shift that story around I think that there's you know there's an interesting conversation that a lot of IT departments and appdev teams are gonna be having over the next couple years about how do we really offload some of these infrastructure tasks from the dev team make you more productive give you better performance availability disaster recovery and these kinds of capabilities awesome well Jared congratulations that get both of you for forgetting to release out I'm sure it was a heavy lift and it's always good to get it out in the world and let people play with it and thanks for for sharing a little bit more of a technical deep dive I'm sure there's ton more resources from people I even want to go down into the weeds so thanks for stopping by thank you thank you all right ease Jared he's kid I'm Jeff you're watching the cube we're in the Palo Alto studios thanks for watching we'll see you next time [Music] hi and welcome to a special cube conversation I'm Stu min a minute and we're digging into VMware vSphere seven announcement we've had conversations with some of the executives some of the technical people but we know that there's no better way to really understand a technology than to talk to some of the practitioners that are using it so really happy to have joined me for the program I have Bill Buckley Miller who is in infrastructure designer with British Telecom joining me digitally from across the pond bill thanks so much for joining us nice - all right so Phil let's start of course British Telecom I think most people know you know what BT is and it's a you know a really sprawling company tell us a little bit about you know your group your role and what's your mandate okay so my group it's called service platforms it's the bit of BT that services all of our multi millions of our customers so they we have broadband we have TV we have mobile we have DNS and email systems and one and it's all about our customers it's not a B to be part of BT you with me we we specifically focus on those kind of multi million customers that we've got in those various services I'm in particular my group is for we do infrastructure so we really do from data center all the way up to really about boot time or so we'll just past boot time and the application developers look after that stage and above okay great we definitely gonna want to dig in and talk about that that boundary between the infrastructure teams and the application teams but let's talk a little bit first you know we're talking about VMware so you know how long's your organization been doing VMware and tell us you know what you see with the announcement that VMware's making work BC or seven sure well I mean we've had a really great relationship with VMware for about twelve thirteen years something like that and it's a absolutely key part of our of our infrastructure it's written throughout BT really in every part of our operations design development and the whole ethos of the company is based around a lot of VMware products and so one of the challenges that we've got right now is application architectures are changing quite significantly at the moment and as you know in particular with serving us and with containers and a whole bunch of other things like that we're very comfortable with our ability to manage VMs and have been for a while we currently use extensively we use vSphere NSX t.v raps log insight network insight and a whole bunch of other VMware constellation applications and our operations teams know how to use that they know how to optimize they know how to capacity plan and troubleshoot so that's that's great and that's been like that for a half a decade at least we've been really really confident with our ability to still with Yemen where environments and Along Came containers and like I say multi cloud as well and what we were struggling with was the inability to have a cell pane a glass really on all of that and to use the same people and the same same processes to manage a different kind of technology so we we'd be working pretty closely with VMware on a number of different containerization products for several years now I would really closely with the b-string integrated containers guys in particular and now with the Pacific guys with really the idea that when we we bring in version 7 and the containerization aspects of version 7 we'll be in a position to have that single pane of glass to allow our operations team to really barely differentiate between what's a VM and what's a container that's really the holy grail right so we'll be able to allow our developers to develop our operations team to deploy and to operate and our designers to see the same infrastructure whether that's on premises cloud or off premises and be able to manage the whole piece in that was bad ok so Phil really interesting things you walked through here you've been using containers in a virtualized environment for a number of years want to understand in the organizational piece just a little bit because it sounds I manage all the environment but you know containers are a little bit different than VMs you know if I think back you know from an application standpoint it was you know let's stick it in a vm I don't need to change it and once I spin up a VM often that's gonna sit there for you know months if not years as opposed to you know I think about a containerization environment it's you know I really want a pool of resources I'm gonna create and destroy things all the time so you know bring us inside that organizational piece you know how much will there need to be interaction and more interaction or change in policies between your infrastructure team and your app dev team well yes making absolutely right that's the nature and that the time scales that were talking about between VMs and containers oh he's wildly different as you say we we probably oughta certainly have VMs in place now that were in place in 2000 and 2018 certainly but I imagine I haven't haven't really been touched whereas as you say VMs and a lot of people talk about spinning them all up all the time there are parts of our architecture that require that in particular the very client facing bursty stuff it you know does require spinning up spinning down pretty quickly but some of our smaller the containers do sit around for weeks if not if not months I really just depend on the development cycle aspects of that but the heartbeat that we've we've really had was just the visualizing it and there are a number different products out there that allow you to see the behavior of your containers and understand the resource requirements that they are having at any given moment allows troubleshoot and so on but they are not they need their new products their new things that we we would have to get used to and also it seems that there's an awful lot of competing products quite a Venn diagram if in terms of functionality and user abilities to do that so through again again coming back to being able to manage through vSphere to be able to have a list of VMs and alongside it is a list of containers and to be able to use policies to define how the behave in terms of their networking to be able to essentially put our deployments on Rails by using in particular tag based policies means that we can take the onus of security we can take the onus of performance management and capacity management away from the developers you don't really care about a lot of time and they can just get on with their job which is to develop new functionality and help our customers so that then means that then we have to be really responsible about defining those policies and making sure that they're adhered to but again we know how to do that with VMs new visa so the fact that we can actually apply that straightaway just to add slightly different completely unit which is really what we're talking about here is ideal and then to be able to extend that into multiple clouds as well because we do use multiple cards where AWS and as your customers and were between them is an opportunity that we can't do anything of them be you know excited about take oh yeah still I really like how you described it really the changing roles that are happening there in your organization need to understand right there's things that developers care about you know they want to move fast they want to be able to build new things and there's things that they shouldn't have to worry about and you know we talked about some of the new world and it's like oh can the platform underneath this take care of it well there there's some things platforms take care of there's some things that the software or you know your theme is going to need to understand so maybe if you could dig in a little bit some of those what are the drivers from your application portfolio what is the business asking of your organization that that's driving this change and you know being one of those you know tailwind pushing you towards you know kubernetes and the the vSphere 7 technologies well it all comes down with the customers right our customers want new functionality they want new integrations they want new content and they want better stability and better performance and our ability to extend or contracting capacity as needed as well so they're the real ultimate we want to give our customers the best possible experience of our products and services so we have to address that really from a development perspective it's our developers that have the responsibility to design them to deploy those so we have to in infrastructure we have to act as a firm foundation really underneath all of that that allows them to know that what they spend their time and develop and want to push out to our customers is something that can be trusted as performant we understand where their capacity requirements are coming from in in the short term and in the long term for that and it's secure as well obviously is a big aspect to it so really we're just providing our developers with the best possible chance of giving our customers what will hopefully make them delighted great Phil you've mentioned a couple of times that you're using public clouds as well as you know your your your your VMware farm one of make sure I if you can explain a little bit a couple of things number one is when it comes to your team especially your infrastructure team how much are they involved with setting up some of the the basic pieces or managing things like performance in the public cloud and secondly when you look at your applications are some of your clouds some of your applications hybrid going between the data center and the public cloud and I haven't talked to too many customers that are doing applications that just live in any cloud and move things around but you know maybe if you could clarify those pieces as to you know what cloud really means to your organization and your applications sure well I mean to us climate allows us to accelerate development she's nice because it means we don't have to do on-premises capacity lifts for new pieces of functionality or so we can initially build in the cloud and test in the cloud but very often applications really make better sense especially in the TV environment where people watch TV all the time I mean yes there are peak hours and lighter hours of TV watching same goes for broadband really but we generally we're well more than an eight-hour application profile so what that allows us to do then is to have well it makes sense we run them inside our organization where we have to run them in our organization for you know data protection reasons or whatever then we can do that as well but where we say for instance we have a boxing match on and we're going to be seen enormous spike in the amount of customers that want to sign up into our order journey for to allow them to view that and to gain access to that well why would you spend a lot of money on servers just for that level of additional capacity so we do absolutely have hybrid applications not sorry hybrid blocks we have blocks of suburb locations you know dozens of them really to support oil platform and what you would see is that if you were to look at our full application structure for one of the platform as I mentioned that some of the smoothers application blocks I have to run inside some can run outside and what we want to be able to do is to allow our operations team to define that again by policy as to where they run and to you know have a system that allows us to transparently see where they're running how they're running and the implications of those decisions so that we can tune those maybe in the future as well and that way we best serve our customers we you know we get to get our customers yeah what they need all right great Phil final question I have for you you've been through a few iterations of looking at VMS containers public cloud what what advice would you give your peers with the announcement of vSphere 7 and how they can look at things today in 2020 versus what they might have looked at say a year or two ago well I'll be honest I was a little bit surprised by vSphere so we knew that VMware we're working on trying to make containers on the same level both from a management deployment perspective as we MS I mean they're called VMware after all we knew that they were looking it's no surprise by just quite how quickly they've managed to almost completely reinvent their application really it's you know if you look at the whole tansy stuff from the Mission Control stuff I think a lot of people were blown away by just quite how happy VMware were to reinvent themselves and from an application perspective you know and to really leap forward and this is the very between version six and seven I've been following these since version three at least and it's an absolutely revolutionary change in terms of the overall architecture the aims to - what they want to achieve with the application and you know luckily the nice thing is is that if you're used to version six is not that big a deal it's really not that big a deal to move forward at all it's not such a big change to process and training and things like that but my word there's no awful lot of work underneath that underneath the covers and I'm really excited and I think other people in my position should really just take it as an opportunity to really revisit what they can achieve with them in particular with vSphere and with in combination with and SXT it's it's but you know it's quite hard to put into place unless you've seen the slide or slides about it and useless you've seen the products just how revolutionary the the version 7 is compared to previous revisions which have kind of evolved for a couple of years so yeah I think I'm really excited to run it and know a lot of my peers other companies that I speak with quite often are very excited about seven as well so yeah I'm really excited about the whole ball base well Phil thank you so much absolutely no doubt this is a huge move for VMware the entire company and their ecosystem rallying around helped move to the next phase of where application developers and infrastructure need to go Phil Buckley joining us from British Telecom I'm Stu minimun thank you so much for watching the queue
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(bright upbeat music) >> Hello and welcome to the Palo Alto Studios, theCube. I'm John Furrier, we here for a special Cube Conversation and special report, big news from VMware to discuss the launch of the availability of vSphere 7. I'm here with Krish Prasad SVP and General Manager of the vSphere Business and Cloud Platform Business Unit. And Paul Turner, VP of vSphere Product Management. Guys, thanks for coming in and talking about the big news. >> Thank you for having us. >> You guys announced some interesting things back in March around containers, Kubernetes and vSphere. Krish, tell us about the hard news what's being announced? >> Today we are announcing the general availability of vSphere 7. John, it's by far the biggest release that we have done in the last 10 years. We premiered it as project Pacific few months ago. With this release, we are putting Kubernetes native support into the vSphere platform. What that allows us to do is give customers the ability to run both modern applications based on Kubernetes and containers, as well as traditional VM based applications on the same platform. And it also allows the IT departments to provide their developers, cloud operating model using the VMware cloud foundation that is powered by this release. This is a key part of our (murmurs) portfolio solutions and products that we announced this year. And it is targeted fully at the developers of modern applications. >> And the specific news is vSphere.. >> Seven is generally available. >> Generally a vSphere 7? >> Yes. >> So let's on the trend line here, the relevance is what? What's the big trend line, that this is riding obviously we saw the announcements at VMware last year, and throughout the year, there's a lot of buzz. Pat Gelsinger says, "There's a big wave here with Kubernetes." What does this announcement mean for you guys with the marketplace trend? >> Yes what Kubernetes is really about is people trying to have an agile operation, they're trying to modernize the IT applications. And the best way to do that, is build off your current platform, expand it and make it a an innovative, an Agile Platform for you to run Kubernetes applications and VM applications together. And not just that customers are also looking at being able to manage a hybrid cloud environment, both on-prem and public cloud together. So they want to be able to evolve and modernize their application stack, but modernize their infrastructure stack, which means hybrid cloud operations with innovative applications Kubernetes or container based applications and VMs. >> What's exciting about this trend, Krish, we were talking about this at VMworld last year, we had many conversations around cloud native, but you're seeing cloud native becoming the operating model for modern business. I mean, this is really the move to the cloud. If you look at the successful enterprises, leaving the suppliers, the on premises piece, if not moved to the cloud native marketplace technologies, the on-premise isn't effective. So it's not so much on-premises going away, we know it's not, but it's turning into cloud native. This is the move to the cloud generally, this is a big wave. >> Yeah, absolutely. I mean, John, if you think about it on-premise, we have, significant market share, we are by far the leader in the market. And so what we are trying to do with this, is to allow customers to use the current platform they are using, but bring their modern application development on top of the same platform. Today, customers tend to set up stacks, which are different, so you have a Kubernetes stack, you have stack for the traditional applications, you have operators and administrators who are specialized in Kubernetes on one side, and you have the traditional VM operators on the other side. With this move, what we are saying is that you can be on the same common platform, you can have the same administrators who are used to administering the environment that you already had, and at the same time, offer the developers what they like, which is Kubernetes dial-tone, that they can come and deploy their applications on the same platform that you use for traditional applications. >> Yeah, Paul, Pat said Kubernetes can be the dial-tone of the internet. Most millennials might even know what dial-tone is. But what he meant is that's the key fabric, that's going to orchestrate. And we've heard over the years skill gap, skill gap, not a lot of skills out there. But when you look at the reality of skills gap, it's really about skills gaps and shortages, not enough people, most CIOs and chief information security officers, that we talk to, say, I don't want to fork my development teams, I don't want to have three separate teams, I don't have to, I want to have automation, I want an operating model that's not going to be fragmented. This kind of speaks to this whole idea of, interoperability and multi cloud. This seems to be the next big way behind hybrid. >> I think it is the next big wave, the thing that customers are looking for is a cloud operating model. They like the ability for developers to be able to invoke new services on demand in a very agile way. And we want to bring that cloud operating model to on-prem, to Google Cloud, to Amazon cloud to Microsoft Cloud to any of our VCPP partners. You get the same cloud operating experience. And it's all driven by a Kubernetes based dial-tone that's effective and available within this platform. So by bringing a single infrastructure platform that can run in this hybrid manner, and give you the cloud operating agility the developers are looking for, that's what's key in version seven. >> Does Pat Gelsinger mean when he says dial-tone of the internet Kubernetes. Does he mean always on? or what does he mean specifically? Just that it's always available? what's the meaning behind that phrase? >> The first thing he means is that developers can come to the infrastructure, which is, The VMware Cloud Foundation, and be able to work with a set of API's that are Kubernetes API's. So developers understand that, they are looking for that. They understand that dial-tone, right? And you come to our VMware cloud foundation that runs across all these clouds, you get the same API set that you can use to deploy that application. >> Okay, so let's get into the value here of vSphere 7, how does VMware and vSphere 7 specifically help customers? Isn't just bolting on Kubernetes to vSphere, some will say is that's simple or (murmurs) you're running product management no, it's not that easy. Some people say, "He is bolting Kubernetes on vSphere." >> it's not that easy. So one of the things, if anybody has actually tried deploying Kubernetes, first, it's highly complicated. And so definitely one of the things that we're bringing is you call it a bolt on, but it's certainly not like that we are making it incredibly simple. You talked about IT operational shortages, customers want to be able to deploy Kubernetes environments in a very simple way. The easiest way that you can do that is take your existing environment that route 90% of IT, and just turn on the Kubernetes dial-tone, and it is as simple as that. Now, it's much more than that, in version seven, as well, we're bringing in a couple things that are very important. You also have to be able to manage at scale, just like you would in the cloud, you want to be able to have infrastructure, almost self manage and upgrade and lifecycle manage itself. And so we're bringing in a new way of managing infrastructure so that you can manage just large scale environments, both on-premise and public cloud environments at scale. And then associated with that as well is you must make it secure. So there's a lot of enhancements we're building into the platform around what we call intrinsic security, which is how can we actually build in a truly a trusted platform for your developers and IT. >> I was just going to touch on your point about this, the shortage of IT staff, and how we are addressing that here. The way we are addressing that, is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with Kubernetes, the same way they administered the older releases, so they don't have to learn anything new. They are just working the same way. We are not changing any tools, process, technologies. >> So same as it was before? >> Same as before. >> More capability. >> More capability. And developers can come in and they see new capabilities around Kubernetes. So it's a best of both worlds. >> And what was the pain point that you guys are solving? Obviously, the ease of use is critical, obviously, operationally, I get that. As you look at the cloud native developer cycles, infrastructure as code means, as app developers, on the other side, taking advantage of it. What's the real pain point that you guys are solving with vSphere 7. >> So I think it's multiple factors. So first is we've talked about agility a few times, there is DevOps is a real trend inside an IT organizations. They need to be able to build and deliver applications much quicker, they need to be able to respond to the business. And to do that, what they are doing is they need infrastructure that is on demand. So what we're really doing in the core Kubernetes kind of enablement, is allowing that on demand fulfillment of infrastructure, so you get that agility that you need. But it's not just tied to modern applications. It's also all of your existing business applications and your monitoring applications on one platform, which means that you've got a very simple and low cost way of managing large scale IT infrastructure. So that's a huge piece as well. And then I do want to emphasize a couple of other things. We're also bringing in new capabilities for AI and ML applications for SAP HANA databases, where we can actually scale to some of the largest business applications out there. And you have all of the capabilities like the GPU awareness and FPGA awareness that we built into the platform, so that you can truly run this as the fastest accelerated platform for your most extreme applications. So you've got the ability to run those applications, as well as your Kubernetes and Container based application. >> That's the accelerated application innovation piece of the announcement right? >> That's right, yeah. It's quite powerful that we've actually brought in, basically new hardware awareness into the product and expose that to your developers, whether that's through containers or through VMs. >> Krish, I want to get your thoughts on the ecosystem and then the community but I want to just dig into one feature you mentioned. I get the lifestyle improvement, life lifecycle improvement, I get the application acceleration innovation, but the intrinsic security is interesting. Could you take a minute, explain what that is? >> Yeah, so there's a few different aspects. One is looking at how can we actually provide a trusted environment. And that means that you need to have a way that the key management that even your administrator is not able to get keys to the kingdom, as we would call it. You want to have a controlled environment that, some of the worst security challenges inside in some of the companies has been your internal IT staff. So you've got to have a way that you can run a trusted environment independent. We've got vSphere Trust Authority that we released in version seven, that actually gives you a secure environment for actually managing your keys to the kingdom effectively your certificates. So you've got this, continuous runtime. Now, not only that, we've actually gone and taken our carbon black features, and we're actually building in full support for carbon black into the platform. So that you've got native security of even your application ecosystem. >> Yeah, that's been coming up a lot conversations, the carbon black and the security piece. Krish obviously vSphere everywhere having that operating model makes a lot of sense, but you have a lot of touch points, you got cloud, hyper scalars got the edge, you got partners. >> We have that dominant market share on private cloud. We are on Amazon, as you will know, Azure, Google, IBM Cloud, Oracle Cloud. So all the major clouds, there is a vSphere stack running. So it allows customers if you think about it, it allows customers to have the same operating model, irrespective of where their workload is residing. They can set policies, components, security, they set it once, it applies to all their environments across this hybrid cloud, and it's all supported by our VMware Cloud Foundation, which is powered by vSphere 7. >> Yeah, I think having that, the cloud as API based having connection points and having that reliable easy to use is critical operating model. Alright guys, so let's summarize the announcement. What do you guys their takeaway from this vSphere 7, what is the bottom line? What's it really mean? (Paul laughs) >> I think what we're, if we look at it for developers, we are democratizing Kubernetes. We already are in 90% of IT environments out there are running vSphere. We are bringing to every one of those vSphere environments and all of the virtual infrastructure administrators, they can now manage Kubernetes environments, you can you can manage it by simply upgrading your environment. That's a really nice position rather than having independent kind of environments you need to manage. So I think that is one of the key things that's in here. The other thing though, I don't think any other platform out there, other than vSphere that can run in your data center in Google's, in Amazon's, in Microsoft's, in thousands of VCPP partners. You have one hybrid platform that you can run with. And that's got operational benefits, that's got efficiency benefits, that's got agility benefits. >> Great. >> Yeah, I would just add to that and say that, look, we want to meet customers, where they are in their journey. And we want to enable them to make business decisions without technology getting in the way. And I think the announcement that we made today, with vSphere 7, is going to help them accelerate their digital transformation journey, without making trade offs on people, process and technology. And there is more to come. Look, we are laser focused on making our platform the best in the industry, for running all kinds of applications and the best platform for a hybrid and multi cloud. And so you will see more capabilities coming in the future. Stay tuned. >> Well, one final question on this news announcement, which is awesome, vSphere, core product for you guys, if I'm the customer, tell me why it's going to be important five years from now? >> Because of what I just said, it is the only platform that is going to be running across all the public clouds, which will allow you to have an operational model that is consistent across the cloud. So think about it. If you go to Amazon native, and then you have a workload in Azure, you're going to have different tools, different processes, different people trained to work with those clouds. But when you come to VMware and you use our Cloud Foundation, you have one operating model across all these environments, and that's going to be game changing. >> Great stuff, great stuff. Thanks for unpacking that for us. Congratulations on the announcement. >> Thank you. >> vSphere 7, news special report here, inside theCube cCnversation, I'm John Furrier. Thanks for watching. (upbeat music) >> Hey welcome back everybody, Jeff Frick here with theCube. We are having a very special Cube Conversation and kind of the the ongoing unveil, if you will of the new VMware vSphere 7.0 we're going to get a little bit more of a technical deep dive here today we're excited to have longtime Cube alumni, Kit Colbert here, is the VP and CTO of Cloud Platform at VMware. Kit, great to see you. And, and new to theCube, Jared Rosoff. He's a Senior Director of Product Management VMware, and I'm guessing had a whole lot to do with this build. So Jared, first off, congratulations for birthing this new release. And great to have you on board. >> Feels pretty good, great to be here. >> All right, so let's just jump into it. From kind of a technical aspect, what is so different about vSphere 7? >> Yeah, great. So vSphere 7, bakes Kubernetes right into the virtualization platform. And so this means that as a developer, I can now use Kubernetes to actually provision and control workloads inside of my vSphere environment. And it means as an IT admin, I'm actually able to deliver Kubernetes and containers to my developers really easily right on top of the platform I already run. >> So I think we had kind of a sneaking suspicion that might be coming with the acquisition of the FTO team. So really exciting news. And I think Kit you tease it out quite a bit at VMware last year about really enabling customers to deploy workloads across environments, regardless of whether that's on-prem, public cloud, this public cloud, that public cloud. So this really is the realization of that vision. >> It is, yeah. So, we talked at VMworld about project Pacific, this technology preview, and as Jared mentioned, what that was, is how do we take Kubernetes and really build it into vSphere. As you know, we had Hybrid Cloud Vision for quite a while now. How do we proliferate vSphere to as many different locations as possible. Now part of the broader VMware Cloud Foundation portfolio. And as we've gotten more and more of these instances in the cloud on-premises, at the edge, with service providers, there's a secondary question, how do we actually evolve that platform? So it can support not just the existing workloads, but also modern workloads as well. >> All right. So I think you brought some pictures for us a little demo. So why (murmurs) and let's see what it looks like. You guys can keep the demo? >> Narrator: So we're going to start off looking at a developer actually working with the new VMware Cloud Foundation for and vSphere 7. So what you're seeing here is a developer is actually using Kubernetes to deploy Kubernetes. The selfie in watermelon, (all laughing) So the developer uses this Kubernetes declarative syntax where they can describe a whole Kubernetes cluster. And the whole developer experience now is driven by Kubernetes. They can use the coop control tool and all of the ecosystem of Kubernetes API's and tool chains to provision workloads right into vSphere. And so, that's not just provisioning workloads, though. This is also key to the developer being able to explore the things they've already deployed, so go look at, hey, what's the IP address that got allocated to that? Or what's the CPU load on this workload I just deployed. On top of Kubernetes, we've integrated a Container Registry into vSphere. So here we see a developer pushing and pulling container images. And one of the amazing things about this is, from an infrastructure is code standpoint. Now, the developers infrastructure as well as their software is all unified in source control. I can check in, not just my code, but also the description of the Kubernetes environment and storage and networking and all the things that are required to run that app. So now we're looking at sort of a side by side view, where on the right hand side is the developer continuing to deploy some pieces of their application and on the left hand side, we see vCenter. And what's key here is that as the developer deploys new things through Kubernetes, those are showing up right inside of the vCenter console. And so the developer and IT are seeing exactly the same things, the same names, and so this means what a developer calls their IT department and says, "Hey, I got a problem with my database," we don't spend the next hour trying to figure out which VM they're talking about. They got the same name, they see the same information. So what we're going to do is that, we're going to push the the developer screen aside and start digging into the vSphere experience. And what you'll see here is that vCenter is the vCenter you've already known and love, but what's different is that now it's much more application focused. So here we see a new screen inside of vCenter vSphere namespaces. And so these vSphere namespaces represent whole logical applications, like the whole distributed system now as a single object inside of vCenter. And when I click into one of these apps, this is a managed object inside of vSphere. I can click on permissions, and I can decide which developers have the permission to deploy or read the configuration of one of these namespaces. I can hook this into my active directory infrastructure, so I can use the same, corporate credentials to access the system, I tap into all my existing storage. So, this platform works with all of the existing vSphere storage providers. I can use storage policy based management to provide storage for Kubernetes. And it's hooked in with things like DRS, right? So I can define quotas and limits for CPU and memory, and all that's going to be enforced by DRS inside the cluster. And again, as an admin, I'm just using vSphere, but to the developer, they're getting a whole Kubernetes experience out of this platform. Now, vSphere also now sucks in all this information from the Kubernetes environment. So besides, seeing the VMs and things that developers have deployed, I can see all of the desired state specifications, all the different Kubernetes objects that the developers have created, the compute network and storage objects, they're all integrated right inside the vCenter console. And so once again, from a diagnostics and troubleshooting perspective, this data is invaluable, often saves hours, just to try to figure out what we're even talking about more trying to resolve an issue. So, as you can see, this is all baked right into vCenter. The vCenter experience isn't transformed a lot, we get a lot of VI admins who look at this and say, "Where's the Kubernetes?" And they're surprised. They're like, they've been managing Kubernetes all this time, it just looks, it looks like the vSphere experience they've already got. But all those Kubernetes objects, the pods and containers, Kubernetes clusters, load balancer stores, they're all represented right there natively in the vCenter UI. And so we're able to take all of that and make it work for your existing VI admins. >> Well, it's pretty wild. It really builds off the vision that again, I think you kind of outlined Kit teased out at VMworld, which was, the IT still sees vSphere, which is what they want to see, what they're used to seeing, but (murmurs) see Kubernetes and really bringing those together in a unified environment. So that, depending on what your job is and what you're working on, that's what you're going to see in this kind of unified environment. >> Yeah, as the demo showed, (clears throat) it is still vSphere at the center, but now there's two different experiences that you can have interacting with vSphere, Kubernetes base one, which is of course great for developers and DevOps type folks, as well as the traditional vSphere interface API's, which is great for VI admins and IT operations. >> And then it really is interesting too, you tease that a lot. That was a good little preview, people knew they're watching. But you talked about really cloud journey and kind of this bifurcation of kind of classical school apps that are that are running in their classic VMs, and then kind of the modern, kind of cloud native applications built on Kubernetes. And you outlined a really interesting thing that people often talk about the two ends of the spectrum, and getting from one to the other, but not really about kind of the messy middle, if you will, and this is really enabling people to pick where along that spectrum, they can move their workloads or move their apps. >> Yeah, I think we think a lot about it like that, we talk to customers, and all of them have very clear visions on where they want to go, their future state architecture. And that involves embracing cloud and involves modernizing applications. And you know, as you mentioned, it's challenging for them. Because I think what a lot of customers see is this kind of these two extremes either you're here where you are, kind of the old current world, and you got the bright Nirvana future on the far end there. And they believe that the only way to get there is to kind of make a leap from one side to the other, they have to kind of change everything out from underneath you. And that's obviously very expensive, very time consuming, and very error prone as well. There's a lot of things that can go wrong there. And so I think what we're doing differently at VMware is really to your point as you call it, the messy middle, I would say it's more like, how do we offer stepping stones along that journey? Rather than making this one giant leap we had to invest all this time and resources? How can we enable people to make smaller incremental steps, each of which have a lot of business value, but don't have a huge amount of cost? >> And it's really enabling kind of this next gen application, where there's a lot of things that are different about it. But one of the fundamental things is where now the application defines the resources that it needs to operate, versus the resources defining kind of the capabilities what the application can do. And that's where everybody is moving as quickly as makes sense. As you said, not all applications need to make that move, but most of them should, and most of them are, and most of them are at least making that journey. Do you see that? >> Yeah, definitely. I mean, I think that, certainly this is one of the big evolutions we're making in vSphere from, looking historically at how we managed infrastructure, one of the things we enable in vSphere 7, is how we manage applications. So a lot of the things you would do in infrastructure management of setting up security rules or encryption settings, or, your resource allocation, you would do this in terms of your physical and virtual infrastructure, you talk about it in terms of, this VM is going to be encrypted, or this VM is going to have this firewall rule. And what we do in vSphere 7 is elevate all of that to application centric management. So you actually look at an application and say, I want this application to be constrained to this much CPU. Or I want this application to have these security rules on it. And so that shifts the focus of management really up to the application level. >> And like, I can even zoom back a little bit there and say, if you look back, one thing we did was something like vSAN before that people had to put policies on a LAN an actual storage LAN, and a storage array. And then by virtue of a workload being placed on that array, inherited certain policies. And so, vSAN will turn that around allows you to put the policy on the VM. But what Jared is talking about now is that for a modern workload, a modern workloads is not a single VM, it's a collection of different things. You got some containers in there, some VMs, probably distributed, maybe even some on-prem, some on the cloud. And so how do you start managing that more holistically? And this notion of really having an application as a first class entity that you can now manage inside of vSphere is really powerful and very simplified one. >> And why this is important is because it's this application centric point of view, which enables the digital transformation that people are talking about all the time. That's a nice big word, but when the rubber hits the road is how do you execute and deliver applications. And more importantly, how do you continue to evolve them and change them, based on on either customer demands or competitive demands, or just changes in the marketplace. >> Yeah when you look at something like a modern app that maybe has 100 VMs that are part of it, and you take something like compliance. So today, if I want to check if this app is compliant, I got to go look at every individual VM and make sure it's locked down hardened and secured the right way. But now instead, what I can do is I can just look at that one application object inside of vCenter, set the right security settings on that and I can be assured that all the different objects inside of it are going to inherit that stuff. So it really simplifies that. It also makes it so that that admin can handle much larger applications. If you think about vCenter today, you might log in and see 1000 VMs in your inventory. When you log in with vSphere 7, what you see is few dozen applications. So a single admin can manage much larger pool of infrastructure, many more applications than they could before. Because we automate so much of that operation. >> And it's not just the scale part, which is obviously really important, but it's also the rate of change. And this notion of how do we enable developers to get what they want to get done, done, i.e. building applications, while at the same time enabling the IT operations teams to put the right sort of guardrails in place around compliance and security performance concerns, these sorts of elements. And so being by being able to have the IT operations team really manage that logical application at that more abstract level, and then have the developer be able to push in new containers or new VMs or whatever they need inside of that abstraction. It actually allows those two teams to work actually together and work together better. They're not stepping over each other. But in fact, now they can both get what they need to get done, done, and do so as quickly as possible but while also being safe, and in compliance, and so forth. >> So there's a lot more to this, this is a very significant release, right? Again, a lot of foreshadowing, if you go out and read the tea leaves, it's a pretty significant kind of re-architecture of many, many parts of vSphere. So beyond the Kubernetes, kind of what are some of the other things that are coming out in this very significant release? >> Yeah, that's a great question, because we tend to talk a lot about Kubernetes, what was Project Pacific, but it's now just part of vSphere. And certainly, that is a very large aspect of it. But to your point, vSphere 7 is a massive release with all sorts of other features. And so there is a demo here, let's pull up some slides. And we're ready to take a look at what's there. So, outside of Kubernetes, there's kind of three main categories that we think about when we look at vSphere 7. So the first first one is simplified Lifecycle Management. And then really focused on security as a second one, and then applications as well, but both including, the cloud native apps that could fit in the Kubernetes bucket as well as others. And so we go on the first one, the first column there, there's a ton of stuff that we're doing, around simplifying life cycles. So let's go to the next slide here where we can dive in a little bit more to the specifics. So we have this new technology vSphere Lifecycle Management, vLCM. And the idea here is how do we dramatically simplify upgrades, lifecycle management of the ESX clusters and ESX hosts? How do we make them more declarative, with a single image, you can now specify for an entire cluster. We find that a lot of our vSphere admins, especially at larger scales, have a really tough time doing this. There's a lot of ins and outs today, it's somewhat tricky to do. And so we want to make it really, really simple and really easy to automate as well. >> So if you're doing Kubernetes on Kubernetes, I suppose you're going to have automation on automation, because upgrading to the sevens is probably not an inconsequential task. >> And yeah, and going forward and allowing you as we start moving to deliver a lot of this great VCR functionality at a more rapid clip. How do we enable our customers to take advantage of all those great things we're putting out there as well. >> Next big thing you talk about is security. >> Yep >> We just got back from RSA. Thank goodness, we got that show in before all the badness started. But everyone always talks about security is got to be baked in from the bottom to the top. Talk about kind of the the changes in the security. >> So I've done a lot of things around security, things around identity federation, things around simplifying certificate management, dramatic simplifications they're across the board. What I want to focus on here, on the next slide is actually what we call vSphere Trust Authority. And so with that one, what we're looking at here is how do we reduce the potential attack surfaces, and really ensure there's a trusted computing base? When we talk to customers, what we find is that they're nervous about a lot of different threats, including even internal ones, right? How do they know all the folks that work for them can be fully trusted. And obviously, if you're hiring someone, you somewhat trust them. How do you implement the concept of least privilege. >> Jeff: Or zero trust (murmurs) >> Exactly. So they idea with trust authority that we can specify a small number of physical ESX hosts that you can really lock down ensure a fully secure, those can be managed by a special vCenter Server, which is in turn very locked down, only a few people have access to it. And then those hosts and that vCenter can then manage other hosts that are untrusted and can use attestation to actually prove that, okay, this untrusted host haven't been modified, we know they're okay, so they're okay to actually run workloads or they're okay to put data on and that sort of thing. So it's this kind of like building block approach to ensure that businesses can have a very small trust base off of which they can build to include their entire vSphere environment. >> And then the third kind of leg of the stool is, just better leveraging, kind of a more complex asset ecosystem, if you will, with things like FPGAs and GPUs, and kind of all of the various components that power these different applications which now the application can draw the appropriate resources as needed. So you've done a lot of work there as well. >> Yeah, there's a ton of innovation happening in the hardware space, as you mentioned, all sorts of accelerators coming out. We all know about GPUs, and obviously what they can do for machine learning and AI type use cases, not to mention 3D rendering. But FPGAs, and all sorts of other things coming down the pike as well there. And so what we found is that as customers try to roll these out, they have a lot of the same problems that we saw in the very early days of virtualization, i.e. silos of specialized hardware that different teams were using. And what you find is, all the things we found before you find very low utilization rates, inability to automate that, inability to manage that well, putting security and compliance and so forth. And so this is really the reality that we see in most customers and it's funny because, and sometimes you think, "Wow, shouldn't we be past this?" As an industry should we have solved this already, we did this with virtualization. But as it turns out, the virtualization we did was for compute and then storage network. But now we really need to virtualize all these accelerators. And so that's where this bit fusion technology that we're including now with vSphere, really comes to the forefront. So if you see in the current slide, we're showing here, the challenges that just these separate pools of infrastructure, how do you manage all that? And so if the we go to the next slide, what we see is that, with that fusion, you can do the same thing that we saw with compute virtualization, you can now pool all these different silos infrastructure together. So they become one big pool of GPUs of infrastructure that anyone in an organization can use. We can, have multiple people sharing a GPU, we can do it very dynamically. And the great part of it is that it's really easy for these folks to use. They don't even need to think about it, in fact, integrates seamlessly with their existing workflows. >> So it's free, it's pretty cheap, because the classifications of the assets now are much, much larger, much varied and much more workload specific right. That's really the opportunity slash challenge there. >> They are a lot more diverse And so like, a couple other things just, I don't have a slide on it, but just things we're doing to our base capabilities, things around DRS and vMotion. Really massive evolutions there as well to support a lot of these bigger workloads, right. So you look at some of the massive SAP HANA or Oracle databases, and how do we ensure that vMotion can scale to handle those, without impacting their performance or anything else there? Making DRS smarter about how it does load balancing, and so forth. So a lot of the stuff not just kind of brand new, cool new accelerator stuff, but it's also how do we ensure the core as people have already been running for many years, we continue to keep up with the innovation and scale there as well. >> All right. So Jared I give you the last word. You've been working on this for a while. There's a whole bunch of admins that have to sit and punch keys. What do you tell them? What should they be excited about? What are you excited for them in this new release? >> I think what I'm excited about is how IT can really be an enabler of the transformation of modern apps. I think today, you look at all of these organizations, and what ends up happening is, the app team ends up sort of building their own infrastructure on top of IT infrastructure. And so, now, I think we can shift that story around. I think that there's an interesting conversation that a lot of IT departments and app dev teams are going to be having over the next couple of years about how do we really offload some of these infrastructure tasks from the dev team? Make you more productive, give you better performance, availability, disaster recovery and these kinds of capabilities. >> Awesome. Well, Jared, congratulation and Kit both of you for getting the release out. I'm sure it was a heavy lift. And it's always good to get it out in the world and let people play with it. And thanks for for sharing a little bit more of a technical deep dive into this ton more resources for people that didn't want to go down into the weeds. So thanks for stopping by. >> Thank you. >> Thank you. >> Alright, he's Jared, he's Kit, I'm Jeff. You're watching theCube. We're in the Palo Alto Studios. Thanks for watching, we'll see you next time. (upbeat music) >> Hi, and welcome to a special Cube Conversation. I'm Stu Miniman, and we're digging into VMware vSphere 7 announcement. We've had conversations with some of the executives some of the technical people, but we know that there's no better way to really understand the technology than to talk to some of the practitioners that are using it. So really happy to have joined me on the program. I have Philip Buckley-Mellor, who is an infrastructure designer with British Telecom joining me digitally from across the pond. Phil, thanks so much for joining us. >> Nice too. >> Alright, so Phil, let's start of course, British Telecom, I think most people know, you know what BT is and it's, really sprawling company. Tell us a little bit about, your group, your role and what's your mandate. >> Okay, so, my group is called service platforms. It's the bit of BT that services all of our multi millions of our customers. So we have broadband, we have TV, we have mobile, we have DNS and email systems. And it's all about our customers. It's not a B2B part of BT, you're with me? We specifically focus on those kind of multi million customers that we've got in those various services. And in particular, my group we do infrastructure. we really do from data center all the way up to really about boot time or so we'll just pass boot time, and the application developers look after that stage and above. >> Okay, great, we definitely going to want to dig in and talk about that, that boundary between the infrastructure teams and the application teams. But let's talk a little bit first, we're talking about VMware. So, how long has your organization been doing VMware and tell us, what you see with the announcement that VMware is making for vSphere 7? >> Sure, well, I mean, we've had really great relationship with VMware for about 12, 13 years, something like that. And it's a absolutely key part of our infrastructure. It's written throughout BT, really, in every part of our operations, design, development, and the whole ethos of the company is based around a lot of VMware products. And so one of the challenges that we've got right now is application architectures are changing quite significantly at the moment, And as you know, in particular with serverless, and with containers and a whole bunch of other things like that. We're very comfortable with our ability to manage VMs and have been for a while. We currently use extensively we use vSphere NSXT, VROPs, login site, network insight and a whole bunch of other VMware constellation applications. And our operations teams know how to use that they know how to optimize, they know how to pass the plan, and (murmurs). So that's great. And that's been like that for half a decade at least, we've been really, really confident with our ability to deal with VMware environments. And along came containers and like, say, multi cloud as well. And what we were struggling with was the inability to have a single pane of glass, really on all of that, and to use the same people and the same processes to manage a different kind of technology. So we, we've been working pretty closely with VMware on a number of different containerization products. For several years now, I've worked really closely with the vSphere integrated containers, guys in particular, and now with the Pacific guys, with really the ideal that when we bring in version seven and the containerization aspects of version seven, we'll be in a position to have that single pane of glass to allow our operations team to really barely differentiate between what's a VM and what's a container. That's really the Holy Grail. So we'll be able to allow our developers to develop, our operations team to deploy and to operate, and our designers to see the same infrastructure, whether that's on-premises, cloud or off-premises, and be able to manage the whole piece in that respect. >> Okay, so Phil, really interesting things you walk through here, you've been using containers in a virtualized environment for a number of years, want to understand and the organizational piece just a little bit, because it sounds great, I manage all the environment, but, containers are a little bit different than VMs. if I think back, from an application standpoint, it was, let's stick it in a VM, I don't need to change it. And once I spin up a VM, often that's going to sit there for, months, if not years, as opposed to, I think about a containerization environment. It's, I really want to pool of resources, I'm going to create and destroy things all the time. So, bring us inside that organizational piece. How much will there needs to be interaction and more interaction or change in policies between your infrastructure team and your app dev team? >> Well, yes, me absolutely right, that's the nature and the timescales that we're talking about between VMs and containers is wildly different. As you say, we probably almost certainly have Vms in place now that were in place in 2018 certainly I imagine, and haven't really been touched. Whereas as you say, VMs and a lot of people talk about spinning them all up all the time. There are parts of architecture that require that, in particular, the very client facing bursty stuff, does require spinning up and spinning down pretty quickly. But some of our some of our other containers do sit around for weeks, if not months, really does depend on the development cycle aspects of that, but the heartbeat that we've really had was just visualizing it. And there are a number of different products out there that allow you to see the behavior of your containers and understand the resource requirements that they are having at any given moment. Allies troubleshoot and seven. But they need any problems, the new things that we we will have to get used to. And also it seems that there's an awful lot of competing products, quite a Venn diagram of in terms of functionality and user abilities to do that. So again coming back to being able to manage through vSphere. And to be able to have a list of VMs on alongside is a list of containers and to be able to use policies to define how they behave in terms of their networking, to be able to essentially put our deployments on rails by using in particular tag based policies, means that we can take the onus of security, we can take the onus of performance management and capacity management away from the developers who don't really have a lot of time, and they can just get on with their job, which is to develop new functionality, and help our customers. So that means then we have to be really responsible about defining those policies, and making sure that they're adhered to. But again, we know how to do that with the VMs through vSphere. So the fact that we can actually apply that straight away, just with slightly different compute unit, is really what we're talking about here is ideal, and then to be able to extend that into multiple clouds as well, because we do use multiple clouds where (murmurs) and as your customers, and we're between them is an opportunity that we can't do anything other than be excited about (murmurs) >> Yeah, Phil, I really like how you described really the changing roles that are happening there in your organization need to understand, right? There's things that developers care about the they want to move fast, they want to be able to build new things and there's things that they shouldn't have to worry about. And, you know, we talked about some of the new world and it's like, oh, can the platform underneath this take care of it? Well, there's some things platforms take care of, there's some things that the software or your team is going to need to understand. So maybe if you could dig in a little bit, some of those, what are the drivers from your application portfolio? What is the business asking of your organization that's driving this change? And being one of those tail winds pushing you towards, Kubernetes and the vSphere 7 technologies? >> Well, it all comes down to the customers, right? Our customers want new functionality. They want new integrations, they want new content, they want better stability and better performance and our ability to extend or contracting capacity as needed as well. So there will be ultimate challenges that we want to give our customers the best possible experience of our products and services. So we have to have address that really from a development perspective, it's our developers have the responsibility to, design and deploy those. So, in infrastructure, we have to act as a firm, foundation, really underneath all of that. That allows them to know that what they spend their time and develop and want to push out to our customers is something that can be trusted is performant. We understand where the capacity requirements are coming from in the short term, and in the long term for that, and he's secure as well, obviously, is a big aspect to it. And so really, we're just providing our developers with the best possible chance of giving our customers what will hopefully make them delighted. >> Great, Phil, you've mentioned a couple of times that you're using public clouds as well as, your VMware firm. Want to make sure I if you can explain a little bit a couple of things. Number one is, when it comes to your team, especially your infrastructure team, how much are they in involved with setting up some of the basic pieces or managing things like performance in the public cloud. And secondly, when you look at your applications, or some of your clouds, some of your applications hybrid going between the data center and the public cloud. And I haven't talked to too many customers that are doing applications that just live in any cloud and move things around. But you know, maybe if you could clarify those pieces as to, what cloud really means to your organization and your applications? >> Sure, well, I mean, tools. Cloud allows us to accelerate development, which is nice because it means we don't have to do on-premises capacity lifts for new pieces of functionality are so we can initially build in the cloud and test in the cloud. But very often, applications really make better sense, especially in the TV environment where people watch TV all the time. I mean, yes, there are peak hours and lighter hours of TV watching. Same goes for broadband really. But we generally were well more than an eight hour application profile. So what that allows us to do then is to have applications that are, well, it makes sense. We run them inside our organization where we have to run them in our organization for, data protection reasons or whatever, then we can do that as well. But where we say, for instance, we have a boxing match on. And we're going to be seeing an enormous spike in the amount of customers that want to sign up into our auto journey to allow them to view that and to gain access to that, well, why would you spend a lot of money on servers just for that level of additional capacity? So we do absolutely have hybrid applications, not sorry, hybrid blocks, we have blocks of sub applications, dozens of them really to support our platform. And what you would see is that if you were to look at our full application structure for one of the platforms, I mentioned, that some of the some of those application blocks have to run inside some can run outside and what we want to be able to do is to allow our operations team to define that, again, by policies to where they run, and to, have a system that allows us to transparently see where they're running, how they're running, and the implications of those decisions so that we can tune those maybe in the future as well. And that way, we best serve our customers. We got to get our customers yeah, what they need. >> All right, great, Phil, final question I have for you, you've been through a few iterations of looking at VMs containers, public cloud, what what advice would you give your peers with the announcement of vSphere 7 and how they can look at things today in 2020 versus what they might have looked at, say a year or two ago? >> Well, I'll be honest, I was a little bit surprised by vSphere 7. We knew that VMware will working on trying to make containers on the same level, both from a management deployment perspective as VMs. I mean, they're called VMware after all right? And we knew that they were looking at that. But I was surprised by just quite how quickly they've managed to almost completely reinvent the application, really. It's, you know, if you look at the whole Tansy stuff and the Mission Control stuff, I think a lot of people were blown away by just quite how happy VMware were to reinvent themselves from an application perspective, and to really leap forward. And this is, between version six and seven. I've been following these since version three, at least. And it's an absolutely revolutionary change in terms of the overall architecture. The aims to, to what they want to achieve with the application. And luckily, the nice thing is, is that if you're used to version six is not that big a deal, it's really not that big a deal to move forward at all, it's not such a big change to process and training and things like that. But my word, there's an awful lot of work underneath that, underneath the covers. And I'm really excited. And I think all the people in my position should really use take it as an opportunity to revisit what they can achieve with, in particular with vSphere, and with in combination with NSXT, it's quite hard to put into place unless you've seen the slides about it and unless you've seen the product, just how revolutionary the version seven is compared to previous versions, which have kind of evolved through a couple of years. So yeah, I think I'm really excited about it. And I know a lot of my peers or the companies that I speak with quite often are very excited about seven as well. So yeah, I'm really excited about though the whole base >> Well, Phil, thank you so much. Absolutely no doubt this is a huge move for VMware, the entire company and their ecosystem rallying around, help move to the next phase of where application developers and infrastructure need to go. Phil Buckley joining us from British Telecom. I'm Stu Miniman. Thank you so much for watching theCube. (upbeat music)
SUMMARY :
of the vSphere Business and Cloud Platform Business Unit. Kubernetes and vSphere. And it also allows the IT departments to provide So let's on the trend line here, And the best way to do that, This is the move to the cloud generally, this is a big wave. and at the same time, offer the developers what they like, This kind of speaks to this whole idea of, They like the ability for developers to be able to of the internet Kubernetes. and be able to work with a set of API's Okay, so let's get into the value here of vSphere 7, And so definitely one of the things that is that the IT administrators that are used So it's a best of both worlds. What's the real pain point that you guys are solving And to do that, what they are doing is and expose that to your developers, I get the application acceleration innovation, And that means that you need to have a way that the carbon black and the security piece. So all the major clouds, and having that reliable easy to use and all of the virtual infrastructure administrators, and the best platform for a hybrid and multi cloud. and that's going to be game changing. Congratulations on the announcement. vSphere 7, news special report here, and kind of the the ongoing unveil, if you will From kind of a technical aspect, of the platform I already run. And I think Kit you tease it out quite a bit So it can support not just the existing workloads, So I think you brought some pictures for us a little demo. and all the things that are required to run that app. It really builds off the vision that again, that you can have interacting with vSphere, but not really about kind of the messy middle, if you will, and you got the bright Nirvana future on the far end there. But one of the fundamental things is So a lot of the things you would do And so how do you start managing that more holistically? that people are talking about all the time. and I can be assured that all the different And it's not just the scale part, So beyond the Kubernetes, kind of what are some And the idea here is how do we dramatically simplify So if you're doing Kubernetes on Kubernetes, And yeah, and going forward and allowing you Next big thing you talk about Talk about kind of the the changes in the security. on the next slide is actually what that you can really lock down ensure a fully secure, and kind of all of the various components And so if the we go to the next slide, That's really the opportunity So a lot of the stuff not just kind of brand new, What are you excited for them in this new release? And so, now, I think we can shift that story around. And it's always good to get it out in the world We're in the Palo Alto Studios. So really happy to have joined me on the program. you know what BT is and it's, really sprawling company. and the application developers look after and tell us, what you see with the announcement and the same processes to manage a different I manage all the environment, So the fact that we can actually apply that straight away, and it's like, oh, can the platform underneath and in the long term for that, and he's secure as well, And I haven't talked to too many customers I mentioned, that some of the some of those application And I know a lot of my peers or the companies and infrastructure need to go.
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VMware D2
[Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] you [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] hello and welcome to the Palo Alto students of the cube um John free we're here for a special cube conversation and special report big news from VMware discuss the launch of the availability of vSphere 7 I'm here with Chris Prasad SVP and general manager of the vSphere business and cloud platform business unit and Paul Turner VP a VP of Product Management guys thanks for coming in and talking about the big news thank you for having us you guys announced some interesting things back in march around containers kubernetes and vSphere Chris just about the hard news what's being announced today we are announcing the general availability of vSphere 7 John it's by far the biggest release that we have done in the last 10 years we previewed it this project Pacific a few months ago with this release we are putting kubernetes native support into the vSphere platform what that allows us to do is give customers the ability to run both modern applications based on kubernetes and containers as well as traditional VM based applications on the same platform and it also allows the IT departments to provide their developers cloud operating model using the VMware cloud foundation that is powered by this release this is a key part of our tansu portfolio of solutions and products that we announced this year and it is star gated fully at the developers of modern applications and the specific news is vSphere 7 is general available generally vSphere 7 yes ok that so let's on the trend line here the relevance is what what's the big trend line that this is riding obviously we saw the announcements at VMworld last year and throughout the year there's a lot of buzz pascal Cerner says there's a big wave here with kubernetes what does this announcement mean for you guys with the marketplace trend yeah so what kubernetes is really about is people trying to have an agile operation they're trying to modernize their IT applications and they the best way to do that is build off your current platform expanded and and make it a an innovative a agile platform for you to run kubernetes applications and VM applications together I'm not just that customers are also looking at being able to manage a hybrid cloud environment both on Prem and public cloud together so they want to be able to evolve and modernize their application stack but modernize their infrastructure stack which means hybrid cloud operations with innovative applications kubernetes or container based applications and VMs was excited about this trend Chris we were talking with us at vmworld last year and we've had many conversations around cloud native but you're seeing cloud native becoming the operating model for modern business I mean this is really the move to the cloud if you look at the successful enterprises and even the suppliers the on-premises piece if not move to the cloud native marketplace technologies the on premise isn't effective so it's not so much on premises going away we know it's not but it's turning into cloud native this is the move to the cloud generally this is a big wave yeah absolutely I mean if John if you think about it on-premise we have significant market share by far the leader in the market and so what we are trying to do with this is to allow customers to use the current platform they are using but bring their application modern application development on top of the same platform today customers tend to set up stacks which are different right so you have a kubernetes stack you have a stack for the traditional applications you have operators and administrators who are specialized in kubernetes on one side and you have the traditional VM operators on the other side with this move what we are saying is that you can be on the same common platform you can have the same administrators who are used to administering the environment that you already had and at the same time offer the developers what they like which is kubernetes dial tone that they can come and deploy their applications on the same platform that you use for traditional applications yeah Paul Paul Pat said Cuba is gonna be the dial tone on the internet most Millennials might even know what dial tone is but what he meant is is that's the key fabric there's gonna work a straight and you know we've heard over the years skill gap skill gap not a lot of skills out there but when you look at the reality of skills gap it's really about skills gaps and shortages not enough people most CIOs and chief and major securitizers as we talk to you say I don't want to fork my development teams I don't want to have three separate teams so I don't have to I I want to have automation I want an operating model that's not gonna be fragmented this kind of speaks to this whole idea of you know interoperability and multi clout this seems to be the next big way behind ibrid I think it I think it is the next big wake the the thing that customers are looking for is a cloud operating model they like the ability for developers to be able to invoke new services on demand in a very agile way and we want to bring that cloud operating model to on-prem to Google cloud to Amazon Cloud to Microsoft cloud to any of our VC PP partners you get the same cloud operating experience and it's all driven by kubernetes based dial tone it's effective and available within this platform so by bringing a single infrastructure platform that can one run in this hybrid manner and give you the cloud operating agility that developers are looking for that's what's key in version seven says Pat Kelsey near me when he says dial tone of the Internet kubernetes does he mean always on or what does he mean specifically just that it's always available what's what says what's the meaning behind that that phrase no I the the first thing he means is that developers can come to the infrastructure which is the VMware cloud foundation and be able to work with a set of api's that are kubernetes api s-- so developers understand that they are looking for that they understand that dial tone right and you come to our VMware cloud foundation that one across all these clouds you get the same API said that you can use to deploy that application okay so let's get into the value here of vSphere seven how does vmware vsphere 7 specifically help customers isn't just bolting on kubernetes to vSphere some will say is it that's simple or user you running product management no it's not that easy it's yeah some people say hey use bolton kubernetes on vSphere it's it's not that easy so so one of the things if if anybody has actually tried deploying kubernetes first its highly complicated and so so definitely one of the things that we're bringing is you call it a bolt-on but it's certainly not like that we are making it incredibly simple and you talked about IT operational shortages customers want to be able to deploy kubernetes environments in a very simple way the easiest way that we can you can do that is take your existing environment that are out 90% of IT and just turn on turn on the kubernetes dial tone and it is as simple as that now it's much more than that in version 7 as well we're bringing in a couple things that are very important you also have to be able to manage at scale just like you would in the cloud you want to be able to have infrastructure almost self manage and upgrade and lifecycle manage itself and so we're bringing in a new way of managing infrastructure so that you can manage just large-scale environments both on-premise and public cloud environments and scale and then associated with that as well is you must make it secure so there's a lot of enhancements we're building into the platform around what we call intrinsic security which is how can we actually build in truly a trusted platform for your developers and IT yeah I mean I I was just going to touch on your point about the shortage of IT staff and how we are addressing that here the the way we are addressing that is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with kubernetes the same way they administered the older releases so they don't have to learn anything new they are just working the same way we are not changing any tools process technologies so same as it was before same as Italy before more capable they are and developers can come in and they see new capabilities around kubernetes so it's best of both worlds and what was the pain point that you guys are so obviously the ease-of-use is critical Asti operationally I get that as you look at the cloud native developer Saiga's infrastructure as code means as app developers on the other side taking advantage of it what's the real pain point that you guys are solving with vSphere 7 so I think it's it's it's multiple factors so so first is we've we've talked about agility a few times right there is DevOps is a real trend inside an IT organizations they need to be able to build and deliver applications much quicker they need to be able to respond to the business and to do that what they are doing is is they need infrastructure that is on demand so what what we're really doing in the core kubernetes kind of enablement is allowing that on-demand fulfillment of infrastructure so you get that agility that you need but it's it's not just tied to modern applications it's also your all of your existing business applications and your modern applications on one platform which means that you know you've got a very simple and and low-cost way of managing large-scale IT infrastructure so that's a that's a huge piece as well and and then I I do want to emphasize a couple of other things it's we're also bringing in new capabilities for AI and ML applications for sa P Hana databases where we can actually scale to some of the largest business applications out there and you have all of the capabilities like like the GPU awareness and FPGA our FPGA awareness that we built into the platform so that you can truly run this as the fastest accelerated platform for your most extreme applications so you've got the ability to run those applications as well as your kubernetes and container based applications that's the accelerated application innovation piece of the announcement right that's right yeah it's it's it's quite powerful that we've actually brought in you know basically new hardware awareness into the product and expose that to your developers whether that's through containers or through VMs Chris I want to get your thoughts on the ecosystem and then in the community but I want to just dig into one feature you mentioned I get the lifestyle improvement a life cycle improvement I get the application acceleration innovation but the intrinsic security is interesting could you take a minute explain what that is yeah so there's there's a few different aspects one is looking at how can we actually provide a trusted environment and that means that you need to have a way that the the key management that even your administrator is not able to get keys to the kingdom as we would call it you you want to have a controlled environment that you know some of the worst security challenges inside and some of the companies has been your in choler internal IT staff so you've got to have a way that you can run a trusted environment and independent we've got these fair trust authority that we released in version 7 that actually gives you a a secure environment for actually managing your keys to the kingdom effectively your certificates so you've got this you know continuous runtime now not only that we've actually gone and taken our carbon black features and we're actually building in full support for carbon black into the platform so that you've got negative security of even your application ecosystem yeah that's been coming up a lot in conversations the carbon black on the security piece chrishelle see these fear everywhere having that operating model makes a lot of sense but you have a lot of touch points you got cloud hyper scale is that the edge you got partners so the other dominant market share and private cloud we are on Amazon as you well know as your Google IBM cloud Oracle cloud so all the major clouds there is a vSphere stack running so it allows customers if you think about it right it allows customers to have the same operating model irrespective of where their workload is residing they can set policies compliance security they said it wants it applies to all their environments across this hybrid cloud and it's all fun a supported by our VMware cloud foundation which is powered by vSphere 7 yeah I think having that the cloud is API based having connection points and having that reliable easy to use is critical operating model all right guys so let's summarize the announcement what do you guys take dare take away from this vSphere 7 what is the bottom line what's what's it really mean I I think what we're if we look at it for developers we are democratizing kubernetes we already are in 90% of IT environments out there are running vSphere we are bringing to every one of those vSphere environments and all of the virtual infrastructure administrators they can now manage kubernetes environments you can you can manage it by simply upgrading your environment that's a really nice position rather than having independent kind of environments you need to manage so so I think that's that is one of the key things that's in here the other thing though is there is I don't think any other platform out there that other than vSphere that can run in your data center in Google's in Amazon's in Microsoft's in you know thousands of VC PP partners you have one hybrid platform that you can run with and that's got operational benefits that's got efficiency benefits that's got agility benefits yeah I just add to that and say that look we want to meet customers where they are in their journey and we want to enable them to make business decisions without technology getting in the way and I think the announcement that we made today with vSphere 7 is going to help them accelerate their digital transformation journey without making trade-offs on people process and technology and there's more to come that we're laser focused on making our platform the best in the industry for running all kinds of applications and the best platform for a hybrid and multi cloud and so you'll see more capabilities coming in the future stay tuned oh one final question on this news announcement which is this awesome we spear core product for you guys if I'm the customer tell me why it's gonna be important five years from now because of what I just said it is the only platform that is going to be running across all the public clouds right which will allow you to have an operational model that is consistent across the clouds so think about it if you go the Amazon native and then yeah warlord and agile you're going to have different tools different processes different people trained to work with those clouds but when you come to VMware and you use our cloud foundation you have one operating model across all these environments and that's going to be game-changing great stuff great stuff thanks for unpacking that for us graduates on the announcement thank you at vSphere 7 News special report here inside the cube conversation I'm John Fergus thanks for watching [Music] and welcome back everybody Jeff Rick here with the cube we are having a very special cube conversation and kind of the the ongoing unveil if you will of the new a VMware vSphere seven dot gonna get a little bit more of a technical deep dive here today we're excited to have a longtime cube alumni kit Kolbert here is the vp and CTO cloud platform at being work it great to see you yeah and and new to the cube jared rose off he's a senior director of product management at VMware and I'm guessin had a whole lot to do with this build so Jared first off congratulations for birthing this new release and great to have you on board alright so let's just jump into it from kind of a technical aspect what is so different about vSphere seven yeah great so vSphere seven baek's kubernetes right into the virtualization platform and so this means that as a developer I can now use kubernetes to actually provision and control workloads inside of my vSphere environment and it means as an IT admin I'm actually able to deliver kubernetes and containers to my developers really easily right on top of the platform I already run so I think we had kind of a sneaking suspicion that that might be coming when the with the acquisition of the hefty Oh team so really exciting news and I think it you tease it out quite a bit at VMware last year about really enabling customers to deploy workloads across environments regardless of whether that's on Prem public cloud this public cloud that public cloud so this really is the realization of that vision yes yeah so we talked at VMworld about project Pacific all right this technology preview and as Jared mentioned of what that was was how do we take kubernetes and really build it into vSphere as you know we had a hybrid cloud vision for quite a while now how do we proliferate vSphere to as many different locations as possible now part of the broader VMware cloud foundation portfolio and you know as we've gotten more and more of these instances in the cloud on-premises at the edge with service providers there's a secondary question how do we actually evolve that platform so it can support not just the existing workloads but also modern workflows as well right all right so I think you brought some pictures for us a little demo so I don't know yeah why was dive into there and let's see what it looks like you guys can cube the demo yes we're gonna start off looking at a developer actually working with the new VMware cloud foundation for an vSphere 7 so what you're seeing here is the developers actually using kubernetes to deploy kubernetes the self eating watermelon right so the developer uses this kubernetes declarative syntax where they can describe a whole kubernetes cluster and the whole developer experience now is driven by kubernetes they can use the coop control tool and all of the ecosystem of kubernetes api is and tool chains to provision workloads right into vSphere and so you know that's not just provisioning workloads though this is also key to the developer being able to explore the things they've already deployed so go look at hey what's the IP address that got allocated to that or what's the CPU load on this you know workload I just deployed on top of kubernetes we've integrated a container registry into vSphere so here we see a developer pushing and pulling container images and you know one of the amazing things about this is from an infrastructure as code standpoint now the developers infrastructure as well as their software is all unified in source control I can check in not just my code but also the description of the kubernetes environment and storage and networking and all the things that are required to run that app so now we're looking at a sort of a side-by-side view where on the right hand side is the developer continuing to deploy some pieces of their application and on the left-hand side we see V Center and what's key here is that as the developer deploys new things through kubernetes those are showing up right inside of the V center console and so the developer and IT are seeing exactly the same things with the same names and so this means what a developer calls their IT department says hey I got a problem with my database we don't spend the next hour trying to figure out which VM they're talking about they got the same name they say they see the same information so what we're gonna do is that you know we're gonna push the the developer screen aside and start digging into the vSphere experience and you know what you'll see here is that V Center is the V Center you've already known and loved but what's different is that now it's much more application focused so here we see a new screen inside of V Center vSphere namespaces and so these vSphere namespaces represent logical applications like a whole distributed system now as a single object inside a V Center and when I click into one of these apps this is a managed object inside of East fear I can click on permissions and I can decide which developers have the permission to deploy or read the configuration of one of these namespaces I can hook this into my active directory infrastructure so I can use the same you know corporate credentials to access the system I tap into all my existing storage so you know this platform works with all of the existing vSphere storage providers I can use storage policy based management to provide storage for kubernetes and it's hooked in with things like DRS right so I can define quotas and limits for CPU and memory and all that's going to be enforced by DRS inside the cluster and again as an as an admin I'm just using vSphere but to the developer they're getting a whole kubernetes experience out of this platform now vSphere also now sucks in all this information from the kubernetes environment so besides you know seeing the VMS and and things that developers have deployed i can see all of the desired state specifications all the different kubernetes objects that the developers have created the compute network and storage objects they're all integrated right inside the the vCenter console and so once again from a diagnostics and troubleshooting perspective this data is invaluable it often saves hours just in trying to figure out what what we're even talking about when we're trying to resolve an issue so the you know as you can see this is all baked right into V Center the V Center experience isn't transformed a lot we get a lot of VI admins who look at this and say where's the kubernetes and they're surprised that like they've been managing kubernetes all this time it just looks it looks like the vSphere experience they've already got but all those kubernetes objects the pods and containers kubernetes clusters load balancer stores they're all represented right there natively in the V Center UI and so we're able to take all that and make it work for your existing VI admins well that's a it's pretty it's pretty wild you know it really builds off the vision that again I think you kind of outlined kit teased out it at VMworld which was you know the IT still sees vSphere which is what they want to see when they're used to seeing but devs siku Nettie's and really bringing those together in a unified environment so that depending on what your job is and what you're working on that's what you're gonna see in this kind of unified environment yeah yeah as the demo showed it is still vSphere at the center but now there's two different experiences that you can have interacting with vSphere the kubernetes base one which is of course great for developers and DevOps type folks as well as a traditional vSphere interface API is which is great for VI admins and IT operations right and then and really it was interesting to you tease that a lot that was a good little preview of people knew they're watching but you talked about really cloud journey and and kind of this bifurcation of kind of classic old-school apps that are that are running in their classic themes and then kind of the modern you know counting cloud native applications built on kubernetes and youyou outlined a really interesting thing that people often talk about the two ends of the spectrum and getting from one to the other but not really about kind of the messy middle if you will and this is really enabling people to pick where along that spectrum they can move their workloads or move their apps ya know I think we think a lot about it like that that we look at we talk to customers and all of them have very clear visions on where they want to go their future state architecture and that involves embracing cloud it involves modernizing applications and you know as you mentioned that it's it's challenging for them because I think what a lot of customers see is this kind of these two extremes either you're here where you are kind of the old current world and you got the bright Nirvana future on the far end there and they believe it's the only way to get there is to kind of make a leap from one side to the other that you have to kind of change everything out from underneath you and that's obviously very expensive very time-consuming and very error-prone as well there's a lot of things that can go wrong there and so I think what we're doing differently at VMware is really to your point as you call it the messy middle I would say it's more like how do we offer stepping stones along that journey rather than making this one giant leap we had to invest all this time and resources how come you able people to make smaller incremental steps each of which have a lot of business value but don't have a huge amount of cost right and its really enabling kind of this next gen application where there's a lot of things that are different about it but one of the fundamental things is we're now the application defines a sources that it needs to operate versus the resources defining kind of the capabilities of what the what the application can do and that's where everybody is moving as quickly as as makes sense you said not all applications need to make that move but most of them should and most of them are and most of them are at least making that journey did you see that yeah definitely I mean I think that you know certainly this is one of the big evolutions we're making in vSphere from you know looking historically at how we managed infrastructure one of things we enable in VCR 7 is how we manage applications right so a lot of the things you would do in infrastructure management of setting up security rules or encryption settings or you know your resource allocation you would do this in terms of your physical and virtual infrastructure you talked about it in terms of this VM is going to be encrypted or this VM is gonna have this firewall rule and what we do in vSphere 7 is elevate all of that to application centric management so you actually look at an application and say I want this application to be constrained to this much CPU or I want this application to be have these security rules on it and so that shifts the focus of management really up to the application level right yeah and like kind of even zoom back a little bit there and say you know if you look back one thing we did was something like V San before that people had to put policies on a LUN you know an actual storage LUN and a storage array and then by virtue of a workload being placed on that array it inherited certain policies right and so these hammer turned that around allows you to put the policy on the VM but what jerez talking about now is that for a modern workload amount and we're closed not a single VM it's it's a collection of different things you've got some containers in there some VMs probably distributed maybe even some on-premise I'm in the cloud and so how do you start managing that more holistically and this notion of really having an application as a first-class entity that you can now manage inside a vSphere it's really powerful and very simplifying one right and why this is important is because it's this application centric point of view which enables the digital transformation that people are talking about all the time that's it's a nice big word but the rubber hits the road is how do you execute and deliver applications and more importantly how do you continue to evolve them and change them you know based on either customer demands or competitive demands or just changes in the marketplace yeah well you look at something like a modern app that maybe has a hundred VMs that are part of it and you take something like compliance right so today if I want to check of this app is compliant I got to go look at every individual VM and make sure it's locked down and hardened and secured the right way but now instead what I can do is I can just look at that one application object inside of each Center set the right security settings on that and I can be assured that all the different objects inside of it are going to inherit that stuff so it really simplifies that it also makes it so that that admin can handle much larger applications you know if you think about vCenter today you might log in and see a thousand VMs in your inventory when you log in with vSphere seven what you see is a few dozen applications so a single admin can manage a much larger pool of infrastructure many more applications than they could before because we automate so much of that operation and it's not just the scale part which is obviously really important but it's also the rate of change and this notion of how do we enable developers to get what they want to get done done ie building applications well at the same time enabling the IT operations teams to put the right sort of guardrails in place around compliance and security performance concerns these sorts of elements and so being by being able to have the IT operations team really manage that logical application at that more abstract level and then have the developer they'll to push in new containers or new VMs or whatever they need inside of that abstraction it actually allows those two teams to work actually together and work together better they're not stepping over each other but in fact now they can both get what they need to get done done and do so as quickly as possible but while also being safe and in compliance is a fourth so there's a lot more just this is a very significant release right again a lot of foreshadowing if you go out and read the tea leaves that's a pretty significant you know kind of RER contexture of many many parts of ease of beer so beyond the kubernetes you know kind of what are some of the other things that are coming out and there's a very significant release yeah it's a great question because we tend to talk a lot about kubernetes what was project Pacific but is now just part of vSphere and certainly that is a very large aspect of it but to your point you know VCR 7 is a massive release with all sorts of other features and so instead of a demo here let's pull up with some slides I'm ready look at what's there so outside of kubernetes there's kind of three main categories that we think about when we look at vSphere seven so the first first one is simplified lifecycle management and then really focus on security it's a second one and then applications as well out both including you know the cloud native apps that don't fit in the kubernetes bucket as well as others and so we go on that first one the first column there there's a ton of stuff that we're doing around simplifying life cycle so let's go to the next slide here where we can dive in a little bit more to the specifics so we have this new technology vSphere lifecycle management VL cm and the idea here is how do we dramatically simplify upgrades lifecycle management of the ESX clusters and ESX hosts how do we make them more declarative with a single image you can now specify for an entire cluster we find that a lot of our vSphere admins especially at larger scales have a really tough time doing this there's a lot of in and out today it's somewhat tricky to do and so we want to make it really really simple and really easy to automate as well so if you're doing kubernetes on kubernetes I suppose you're gonna have automation on automation right because upgrading to the sevens is probably not any consequence in consequential tasks mm-hmm and yeah and going forward and allowing you as we start moving to deliver a lot of this great VCR functionality at a more rapid clip how do we enable our customers to take advantage of all those great things we're putting out there as well right next big thing you talk about is security yep we just got back from RSA thank goodness yeah we got that that show in before all the badness started yeah but everyone always talked about security's got to be baked in from the bottom to the top yeah talk about kind of the the changes and the security so done a lot of things around security things around identity Federation things around simplifying certificate management you know dramatic simplification is there across the board a one I want to focus on here on the next slide is actually what we call vSphere trust Authority and so with that one what we're looking at here is how do we reduce the potential attack surfaces and really ensure there's a trusted computing base when we talk to customers what we find is that they're nervous about a lot of different threats including even internal ones right how do they know all the folks that work for them can be fully trusted and obviously if you're hiring someone you somewhat trust them but you know what's how do you implement that the concept of least privilege right or zero trust me yeah topic exactly so they deal with trust authorities that we can specify a small number of physical ESX hosts that you can really lock down and sure fully secure those can be managed by a special vCenter server which is in turn very lockdown only a few people have access to it and then those hosts and that vCenter can then manage other hosts that are untrusted and can use attestation to actually prove that okay these untrusted hosts haven't been modified we know they're okay so they're okay to actually run workloads on they're okay to put data on and that sort of thing so is this kind of like building block approach to ensure that businesses can have a very small trust base off of which they can build to include their entire vSphere environment right and then the third kind of leg of the stool is you know just better leveraging you know kind of a more complex asset ecosystem if you know with things like FPGAs and GPUs and you know kind of all of the various components that power these different applications which now the application could draw the appropriate resources as needed so you've done a lot of work there as well yeah there's a ton of innovation happening in the hardware space as you mention all sort of accelerators coming out we all know about GPUs and obviously what they can do for machine learning and AI type use cases not to mention 3d rendering but you know FPGA is and all sorts of other things coming down the pike as well there and so what we found is that as customers try to roll these out they have a lot of the same problems that we saw in the very early days of virtualization ie silos of specialized hardware that different teams were using and you know what you find is all things we found before you found we find very low utilization rates inability to automate that inability to manage that well putting security and compliance and so forth and so this is really the reality that we see at most customers and it's funny because and some ones you think well well shouldn't we be past this as an industry should we have solved this already you know we did this with virtualization but as it turns out the virtualization we did was for compute and then storage and network now we really need to virtualize all these accelerators and so that's where this bit fusion technology that we're including now with vSphere it really comes to the forefront so if you see and the current slide we're showing here the challenge is that just these separate pools of infrastructure how do you manage all that and so if you go to the we go to the next slide what we see is that with bit fusion you can do the same thing that we saw with compute virtualization you can now pool all these different silos infrastructure together so they become one big pool of GPUs of infrastructure that anyone in an organization can use we can you know have multiple people sharing a GPU we can do it very dynamically and the great part of it is is that it's really easy for these folks to use they don't even need to think about it in fact integrates seamlessly with their existing workflows so it's pretty it's pretty trick is because the classifications of the assets now are much much larger much varied and much more workload specific right that's really the the the opportunities flash challenge they are they're good guys are diverse yeah and so like you know a couple other things just I don't have a slide on it but just things we're doing to our base capabilities things around DRS and V motion really massive evolutions there as well to support a lot of these bigger workloads right so you look at some of the massive sa P HANA or Oracle databases and how do we ensure that V motion can scale to handle those without impacting their performance or anything else they're making DRS smarter about how it does load balancing and so forth right now a lot of this stuff is not just kind of brand-new cool new accelerated stuff but it's also how do we ensure the core ass people have already been running for many years we continue to keep up with the innovation and scale there as well right alright so Joe I give you the last word you've been working on this for a while there's a whole bunch of admins that have to sit and punch keys what do you what do you tell them what should they be excited about what are you excited for them in this new release I think what I'm excited about is how you know IT can really be an enabler of the transformation of modern apps right I think today you look at a lot of these organizations and what ends up happening is the app team ends up sort of building their own infrastructure on top of IT infrastructure right and so now I think we can shift that story around I think that there's you know there's an interesting conversation that a lot of IT departments and appdev teams are gonna be having over the next couple years about how do we really offload some of these infrastructure tasks from the dev team making more productive give you better performance availability disaster recovery and these kinds of capabilities awesome well Jared congratulations that get both of you for for getting a release out I'm sure it was a heavy lift and it's always good to get it out in the world and let people play with it and thanks for for sharing a little bit more of a technical deep dive I'm sure there's ton more resources from people I even want to go down into the wheat so thanks for stopping by thank you thank you all right he's Jared he's kid I'm Jeff you're watching the cube we're in the Palo Alto studios thanks for watching we'll see you next time [Music] hi and welcome to a special cube conversation I'm Stu min a minute and we're digging into VMware vSphere seven announcement we've had conversations with some of the executives some of the technical people but we know that there's no better way to really understand a technology than to talk to some of the practitioners that are using it so really happy to have joined me for the program I have Bill Buckley Miller who is an infrastructure designer with British Telecom joining me digitally from across the pond bill thanks so much for joining us hi Stu all right so Phil let's start of course British Telecom I think most people know you know what BT is and it's a you know a really sprawling company tell us a little bit about you know your group your role and what's your mandate okay so my group is called service platforms it's the bit of BT that services all of our multi-millions of our customers so they we have broadband we have TV we have mobile we have DNS and email systems and one and it's all about our customers it's not a beat to be part of beating you with me we we specifically focus on those kind of multi million customers that we've got in those various services I mean in particular my group is four we were um structure so we really do from data center all the way up to really about boot time or so we'll just past the boot time and the application developers look after that stage and above okay great we definitely gonna want to dig in and talk about that that boundary between the infrastructure teams and the application teams on but let's talk a little bit first you know we're talking about VMware so you know how long's your organization been doing VMware and tell us you know you what you see with the announcement that VMware's making work be cr7 sure well I mean we've had a really great relationship with VMware for about 1213 years some weather and it's a absolutely key part of our of our infrastructure it's written throughout BT really in every part of our of our operations design development and the whole ethos of the company is based around a lot of VMware products and so one of the challenges that we've got right now is application architectures are changing quite significantly at the moment and as you know in particular with the server less bandwidth containers and a whole bunch of other things like that we're very comfortable with our ability to manage VMs and have been for a while we currently use extensively we use vSphere NSX T V ROPS login site network insight and a whole bunch of other VMware constellation applications and our operations teams know how to use that they know how to optimize they know how to capacity plan and troubleshoot so that's that's great and that's been like that for a half a decade at least we've been really really confident with our ability to till we p.m. where environments and Along Came containers and like say multi cloud as well and what we were struggling with was the inability to have a cell pane a glass really on all of that and to use the same people and the same same processes to manage a different kind of technology so we we'd be working pretty closely with VMware on a number of different containerization products for several years now I would really closely with the b-string integrated containers guys in particular and now with the Pacific guys with really the idea that when we we bring in version 7 and the containerization aspects of version 7 we'll be in a position to have that single pane of glass to allow our operations team to really barely differentiate between what's a VM and what's a container that's really the Holy Grail right so we'll be able to allow our developers to develop our operations team to deploy and to operate and our designers to see the same infrastructure whether that's on premises cloud or off premises I'm be able to manage the whole piece in that was bad ok so Phil really interesting things you walk through here you've been using containers in a virtualized environment for a number of years want to understand in the organizational piece just a little bit because it sounds great I manage all the environment but you know containers are a little bit different than VMs you know if I think back you know from an application standpoint it was you know let's stick it in a vm I don't need to change it and once I spin up a VM often that's gonna sit there for you know months if not years as opposed to you know I think about a containerization environment it's you know I really want a pool of resources I'm gonna create and destroy things all the time so you know bring us inside that organizational piece you know how much will there need to be interaction and more in a rack or change in policies between your infrastructure team and your app dev team well yes make absolutely right that's the nature and that the time scales that we're talking about between VMs and containers oh he's wildly different as you say we probably all certainly have VMs in place now that were in place in 2000 and 2018 certainly I imagine I haven't haven't really been touched whereas as you say VMs and a lot of people talk about spinning them all up all the time and there are parts of our architecture that require that in particular the very client facing bursty stuff you know just require spinning up spinning down pretty quickly but some of our smaller the containers do sit around for weeks if not if not months I mean they just depend on the development cycle aspects of that but the Harpeth that we've we've really had was just the visualizing it and there are a number different products out there that allow you to see the behavior of your containers and understand the resource requirements that they are having at any given moment allows Troubleshooters and so on but they are not they need their new products their new things that we we would have to get used to and also it seems that there's an awful lot of competing products quite a Venn diagram if in terms of functionality and user abilities to do that so through again again coming back to to being able to manage through vSphere to be able to have a list of VMs and alongside it is a list of containers and to be able to use policies to define how they behave in terms of their networking to be able to essentially put our deployments on Rails by using in particular tag based policies means that we can take the onus of security we can take the onus of performance management capacity management away from the developers you don't really care about a lot of time and they can just get on with their job which is to develop new functionality and help our customers so that then means that then we have to be really responsible about defining those policies making sure that they're adhered to but again we know how to do that with VMs new vSphere so the fact that we can actually apply that straightaway just towards slightly different completely unit which is really all are talking about here is ideal and then to be able to extend that into multiple clouds as well because we do use multiple cards where AWS and those your customers and were between them is an opportunity that we can't do anything of them be you know excited about take home yeah bill I really like how you described it really the changing roles that are happening there in your organization need to understand right there's things that developers care about you know they want to move fast they want to be able to build new things and there's things that they shouldn't have to worry about and you know we talked about some of the new world and it's like oh can the platform underneath this take care of it well there's some things platforms take care of there's some things that the software or you know your team is going to need to understand so maybe if you could dig in a little bit some of those what are the drivers from your application portfolio what is the business asking of your organization that that's driving this change and you know being one of those you know tailwinds pushing you towards you know urban Eddie's and the the vSphere 7 technologies well it all comes down to the customers right our customers want new functionality they want new integrations they want new content and they want better stability and better performance and our ability to extend or contracting capacity as needed as well so they're the real ultimate challenges that we want to give our customers the best possible experience of our products and services so we have to address that really from a development perspective it's our developers that have the responsibility to design and deploy those so we have to in infrastructure we have to act as a a firm foundation really underneath all of that that them to know that what they spend their time and develop and want to push out to our customers is something that can be trusted is performant we understand where their capacity requirements are coming from in the in the short term and in the long term for that and it's secure as well obviously is a big aspect to it and so really we're just providing our developers with the best possible chance of giving our customers what will hopefully make them delighted great Phil you've mentioned a couple of times that you're using public clouds as well as you know your your your your VMware farm what a minute make sure I if you can explain a little bit a couple of things number one is when it comes to your team especially your infrastructure team how much are they involved with setting up some of the the basic pieces or managing things like performance in the public cloud and secondly when you look at your applications are some of your clouds some of your applications hybrid going between the data center and the public cloud and I haven't talked to too many customers that are doing applications that just live in any cloud and move things around but you know maybe if you could clarify those pieces as to you know what cloud really means to your organization and your applications sure well I mean to us cloud allows us to accelerate development she's nice because it means we don't have to do on-premises capacity lifts for new pieces of functionality or so we can initially build in the cloud and test in the cloud but very often applications really make better sense especially in the TV environment where people watch TV all the time and I mean yes there are peak hours and lighter hours of TV watching same goes for broadband really but we generally we're well more than an eight-hour application profile so what that allows us to do then is to have applications that will it make sense we run them inside our organization where we have to run them in our organization for you know data protection reasons or whatever then we can do that as well but where we say for instance we have a boxing match on and we're going to be seen enormous spike in the amount of customers that want to sign up into an order journey for to allow them to view that and to gain access to that well why would you spend a lot of money on servers just for that level of additional capacity so we do absolutely have hybrid applications not sorry hybrid blocks we have blocks of suburb locations you know dozens of them really to support oil platform and what you would see is that if you were to look at our full application structure for one of the platforms I mentioned that some of the smothers application blocks I have to run inside some can run outside and what we want to be able to do is to allow our operations team to define that again by policy as to where they run and to you know have a system that allows us to transparently see where they're running how they're running and the implications of those decisions so that we can tune those maybe in the future as well and that way we best serve our customers we you know we get to get our customers yeah what they need all right great Phil final question I have for you you've been through a few iterations of looking at VMs containers public cloud what what advice would you give your peers with the announcement of vSphere 7 and how they can look at things today in 2020 versus what they might have looked at say a year or two ago well I'll be honest I was a little bit surprised by base rate so we knew that VMware we're working on trying to make containers on the same level both from a management deployment perspective as we Eames I mean they're called VMware after all right we knew that they were looking at at that no surprise by just quite how quickly they've managed to almost completely reinvent their application really it's you know if you look at the whole town zoo stuff in the Mission Control stuff and I think a lot of people were blown away by just quite how happy VMware were to reinvent themselves and from Asian perspective you know and to really leap forward and this is the vote between version six and seven I've been following these since version three at least and it's an absolutely revolutionary change in terms of the overall architecture the aims to - what they would want to achieve with the application and you know luckily the nice thing is is that if you're used to version six is not that big a deal it's really not that big a deal to move forward at all it's not such a big change to process and training and things like that but my word there's an awful lot of work underneath that underneath the covers and I'm really excited and I think all the people in my position should really just take it as opportunity to greevey will revisit what they can achieve with them in particular with vSphere and with in combination with and SXT it's it's but you know it's quite hard to put into place unless you've seen the slide or slides about it and he's lost you've seen the products just have a revolutionary the the version seven is compared to previous revisions which have kind of evolved for a couple of years so yeah I think I'm really excited to run it and I know a lot of my peers or the companies that I speak with quite often are very excited about seven as well so yeah I I'm really excited about the whole whole base well Phil thank you so much absolutely no doubt this is a huge move for VMware the entire company and their ecosystem rallying around help move to the next phase of where application developers and infrastructure need to go Phil Buckley joining us from British Telecom I'm Stu minimun thank you so much for watching the queue [Music]
SUMMARY :
the move to the cloud if you look at the
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Hanen Garcia & Azhar Sayeed, Red Hat | KubeCon + CloudNativeCon NA 2019
>>Ly from San Diego, California. It's the cube covering to clock in cloud native con brought to you by red hat, the cloud native computing foundation and its ecosystem Marsh. >>Welcome back to San Diego. It's CubeCon cloud native con 2019. You're watching the cube. I'm streaming in my cohost for three days of live coverage is John Troyer and happened at welcome fresh off the keynote stage to my right is as hers as har who's the chief architect for telco at red hat and the man that was behind the scenes for a lot of it, hunting Garcia, telco solutions manager at red hat. A gentlemen, thanks so much for joining us and a very interesting keynote. So you know 5g uh, you know, my background's networking, we all watch it. Um, uh, let's say my telco provider already says that I have something related to five G on my phone that we grumble a little bit about, but we're not going to talk about that where we are going to talk about his keynote. Uh, we had a China mobile up on stage. Uh, maybe a, I love a little bit behind the scenes as you were saying. Uh, you know, the cloud native enabled not just uh, you know, the keynote and what it's living, but it gets a little bit of what >>well, sure. Um, look, when we took on this particular project to build a cloud native environment, uh, for five genes, we spent a lot of time planning and in fact this is a guy who actually did, you know, most of that work, um, to do a lot of planning in terms of picking different components and getting that together. Um, one of the things that cloud native environment allows us to do is bring things up quickly. The resilience part of it and the scale bar, right? Those are the two important components and attributes of cloud native. In fact, what happened last night was obviously one of the circuit breakers trapped and we actually lost power to that particular entire part that is onstage. I mean, nobody knows about this. I didn't talk about it as part of the keynote, but guess what? Through because it was cloud native because it was built in an automated fashion. People were able to work. Yes, they spent about three hours or so to actually get that back up. But we got it back up and running and we showed it live today. But what, I'm not trying to stress on how it failed a white fail. I'm trying to stress on how quickly things came back up and more important. The only cloud native way of doing things could have done that. Otherwise it wouldn't have been possible. All right. >>as, as the man behind the scenes there. Uh, it's great when we have, you know, here's actually the largest telco provider in the world. Uh, you know, showing what it, it's happened. So the title Kubernetes everywhere that telco edge gets a little bit of a hind, the scenes as to kind of the, the, the mission of building the solution and how you got it, you know, your, your, your customers, your partners, uh, engaged and excited to participate in. >> This is what's that very thirsting enterprise through realize. Actually, we took four months around, uh, 15 partners. And, uh, I would say partners >>because in that case, I'm taking, uh, uh, bell Canada and China mobile is a partners. They are part of the project. They were giving us a requirement, helping us all the way to it and together other, uh, more, uh, commercial partners. And of course, uh, as whatsover Allianz, like the team in the and the open interface, Allianz is, we're working with us is, was about 8,200 people working behind the scenes to get this work, uh, to have a lab, uh, directly, completely set up with a full, uh, Fuji containerized MoMA and network in France, uh, have the same in Montreal. Fuji and fogey called directly Montiel as well, uh, in one of our partners, uh, Calum labs and then bringing here the fudgey pop, uh, and have everything connected to the public cloud. So we have everything in there. So all the technology, all the mobile technology was there. >>We have enterprise technology that we're using to connect all the, all the labs and the, and the pop here with the public cloud to. Uh, um, technology and we have of course deployed as, as a, as our, uh, was mentioning. We deployed Kubernete is on the public cloud and we have as well Kubernete is open, rehabbed, open stack, uh, sorry. They had OpenShift container platform running on the, on all the premise in the lab in France and Davi, Marcia and they pop here. Uh, as I say, it was kind of an interesting enterprise. We have some hiccups last night, but uh, we were able to put that out the world telco, >>very specialized, very high service level agreements. I always want by phone to work and so a little bit, uh, uses different terminology than the rest of it sometimes. Right. And MP and VNF and VCO. But so maybe let's real to tell people a little bit like what are we actually talking about here? I mean, people also may not be following edge and, and teleco and what's actually sitting in their home town or, or it used to be embedded chips and none, it was a like Linux, but we're actually talking about installing Kubernetes clusters in a lot of different, really interesting typologies. That's absolutely true actually with the way how, and described it as perfect in the sense that we actually had Kubernetes clusters sitting in a data center environment in France, in Montreal and a remote pop that's sitting here on stage. So it was not just independent clusters but also stretch clusters where we actually had some worker nodes here that will attach back to the Montreal cluster. >>So the flexibility that it gave us was just awesome. We can't achieve that. Uh, you know, in general. But you brought up an interesting topic around, uh, you know, Getty or, uh, or, or the Teleco's operating environment, which is different and cloud native principles has, are a little bit different where they weren't very high availability, they weren't very high reliability with good amount of redundancy. Well, cloud native and actually those attributes to you. But the operational model is very different. You have to almost use codas throwaway hardware as throwaway and do a horizontal scale model to be able to build that. Whereas in the older environment, hardware was a premium switches and routers with a premium and you couldn't have a failure. So you needed all of those, you know, compliance of high availability and upgradability and so on. Here I'm upgrading processes in Linux, I'm upgrading applications. I can go deploy anytime, tear them down. Anytime I'm monitoring the infrastructure, using metrics, using telemetry. That wasn't the case before. So a different operating environment, but it provides actually better residency models than what telcos are actually yesterday. Yeah. >>Um, it's a complicated ecosystem to put all these pieces together. Uh, it gives, gives a little insight as to, uh, you know, red hats, leadership and uh, the, the, the partners that help you put it in. >>I will let him answer that. >>Um, is another, our first rodeo. We have been working on the vitro central office project with the, with the leaner foundation, uh, networking and Hopi NFV community for three last years. Uh, let's say, and the interesting part of this one is that even though we typically get with working with what the technology that they are using now, uh, we decided it's time to go with the technologies that we'll be using from now on. Um, but of course, uh, there is a set of partners that we need. We need to build the infrastructure from scratch. So for example, we have a Lenovo that was bringing all the, all the servers, uh, for the, for the set up in, uh, and here in San Diego, which actually the San Diego pub was built originally in Raleigh, Illinois, facilities and cheap all over the country to here for the show. Uh, and uh, then we have the fabric part. >>So the networking part, that's his cologne. Uh, this was working and bringing us the software defined fabric, uh, to connect all the different future. And then, then we start building this over layers on top. So we have, they had OpenShift container platform for the to completely deploy over metal servers. And then we start adding all the rest of the components, like the four G core fundamental Tran, like dividing for GFG radio from Altron, uh, together with Intel come Scott. That's his building. He started building the mobile part of it in Montreal, a San Diego. And then we add on top of that. Then we start adding the IMS core in the public cloud and then we connect everything through the by tuning. >>So a couple of things that I'd like to highlight in terms of coordinating partners, getting to know when they're ready, figuring out an onboarding process that gives them a sandbox to play with their configurations first before you connect them back into the main environment. Partitioning that working simultaneously with Malden, we had a Slack board that was full of messages every day. We had a nonstop, you know, every morning we had a scam call, right then it's like a scrum meeting every morning, just a daily stand up from eight 30 to nine 30. And we continue that all over the day. >>So as her, one of the things I really like to China mobile, uh, when they talked about in the keynote, first of all they said, you know, the problem is, you know, 20 by 2026, you know, it's, it's rainbows and unicorns and you know, 5g, uh, you know, will help enable so much around the planet. Seriously. Um, but you know, today she, she talked about major challenge in the rollout and infrastructure and service and capability. So, you know, help us understand a little bit the hype from reality of where we are with five G what we could expect. >>Absolutely. We are going through the hype phase right now, right? We are absolutely all the operators want FFG service to be delivered for sure. The reason why they want it to be delivered as they don't want to be left behind. Now there are some operators when we in more opportunistic and looking at 5g as a way to insert themselves into different conversations, IOT conversation, um, smart city conversation, right? Um, edge compute conversation. So they're being very strategic about how the big, the set of technologies, how they go deploy in that particular infrastructure and strategically offer capabilities and build partnerships. Nobody's going to rip out their existing three G four G network and replace that with 5g by 2026. It's not gonna happen, but what will happen by 2026 is an incremental phase of services that will be continued to offer. As an example, I'll give you, um, cable providers are looking at 5g as a way to get into homes because they can deploy in millimeter wave band a radio closer to the house and get a very high speed multi-gigabit high speed connection into the home without having to worry about what's your copper look like? >>Do I have fiber to the home? Do I have fiber to the business and so on. And so. So that's actually an interesting, >>okay, so you're saying solving the last mile issue in a very targeted use. >>Absolutely. So that's one. The other area might be running a partnership with BMW Toyota in, you know, some of these car companies to provide telemetry back from cars into their own, you know, operating environment so that they know what's going on, what's being used, how is it being used, how can we, how can we do provide diagnosis before the car actually begins to fail? Uh, big, you know, private environments like oil and gas mining, they are going to deploy public safety and security where all of these, you know, policemen on and safety personnel are required to now use body cams. Now you have video feeds coming from hundreds of people. There are deployment and incidents. Now you can take that information you need high speed broadband, you need the ability to analyze data and do analytics and provide feedback immediately so that they can actually act. So do three, this specific targeted use case, even a country like India where they're talking about using 5g for very specific use cases, not replacing your phone calling. >>I love that point. And it kind of ties back into some of the other things you were saying about the a agility and the operational model. And I relate it back to it. You know, my, again, my perception of some telco maybe 20 years old and that they had a tendency to do very monolithic projects. And you know, when you're out, when you're rolling out a infrastructure across the country, there's a certain, uh, monolithic nature to it. But you're talking about rolling out one, rolling out individual projects rolling out. That's also the advice we give to it. Try it with one thing, you know, try open shift with that one application and then also though, but it takes uh, the upskilling and the cultural model. So true with your telco petitioners who are, we're on Slack, they're with you and I, you know, I don't, I don't know if there's any relation, any other kinds of things to pull out about the mirror of, of the it transformation with telco transformation and colon Turner. That's actually a good point that you bring up, >>right? Look, the costs of building, if I have infrastructure from ground up is extremely high. If they want to completely revamp that. You're talking about replacing every single radio, you're talking about adding capacity more adding, you know, backhaul capacity and so on. So that isn't going to happen overnight. It's going to happen. It may take even more 10 years. Right. I mean in the most interesting thing, that stat stack that I saw was even LTE is going to grow. LTE subscriber count is going to grow for the next two years before it flatmates. So we're not going to LTE four G that's been around for a decade almost. Right. And it's going to still grow for the next two years, then it's going to flatten and then you'll start to see more 5g subscribers. Now back to the point that you were bringing up in terms of operational model change and in terms of how things will be I D principles applying it principles to telco. >>Um, there are still some challenges that we need to solve in Coobernetti's environment in particular, uh, to address the teleco side of the house. And in fact through this particular proof of concept, that was one of the things we were really attempting to highlight and shine a light on. Um, but in terms of operational models, what use applicable and it will now be totally applicable on the telco network, the CIC pipeline. There's delivery of applications and software that testing and integration, the, you know, um, operational models. Absolutely. Those, in fact, I actually have a number of service providers and telcos that I talked to who are actually thinking about a common platform for it end telco network. And they are now saying, okay, red hat, can you help us in terms of designing this type of a system. So I think what could speak to you a little bit about, uh, in this context is how the same infrastructure can be used for any kind of application. So you want to talk about how the community's platform can be used to deploy CNS and then to deploy applications and how you've shown that. Yeah. Well this is what, >>what we have been doing, right. So we have, uh, the coordinators platform does, is actually deploy and the services we have, all these partners are bringing their Cloudnative uh, function, uh, applications on top of that, that what we are calling the CNF the quantities and network functions. And basically what we were doing as well during the whole process is that we have, those partners are still developing, still finishing the software. So we were building and deploying at the same time and testing on the same time. So during the last four months, and even I can tell you even just to deny >>even last night, so the full CACD pipeline that we deploy in ID side, here it is in operation on the network side. >>Well yeah. So, so I, I want to give you the final word cause you know, John was talking about it cycles, you know, if you think about enterprises, how long they used to take to deploy things, uh, and what cloud data is doing for them. Uh, it sounds like we're going through a similar trends. >>Absolutely big in a big way. Um, telcos are actually deploying a private cloud environment and they're also leveraging public cloud in mind. In fact, sometimes they using public cloud as sandbox for their development to be completed until they get deployed and private. Claremont, they still need the private time enrollment for their own purposes, like security, data sovereignty and uh, you know, their own operational needs. So, but they want to make it as transparent as possible. And in fact, that was one of the things we want to also attempted to show, which is a public cloud today, a private cloud and bare metal, a private cloud on OpenStack. And it was like, and you know, it came together, it worked, but it is real. That's more important. And, uh, for enterprise and for telcos to be literally going down the same path with respect to their applications, their services and their operational models. I think this is really a dream come true. >>Well, congratulations on the demo. Uh, but even more importantly, congratulations on the progress. Great to see, uh, you know, the global impact that's going to have in the telecommunications market. Definitely look forward to hearing more than. >>Thank you very much. Thank you. The opportunity to >>actually be here. All right. For John Troyer, I'm Stu Miniman back with lots more here from CubeCon Claude, date of con 2019 in San Diego, California. Thanks for watching the queue.
SUMMARY :
clock in cloud native con brought to you by red hat, the cloud native computing foundation the cloud native enabled not just uh, you know, did, you know, most of that work, um, to do a lot of planning in terms of picking different the scenes as to kind of the, the, the mission of building the solution and how you got it, And, uh, I would say partners So all the technology, all the mobile technology was there. We deployed Kubernete is on the public cloud and we have as well Kubernete is But so maybe let's real to tell people a little bit like what are we actually talking about uh, you know, Getty or, uh, or, or the Teleco's operating environment, Uh, it gives, gives a little insight as to, uh, you know, red hats, leadership and uh, facilities and cheap all over the country to here for the show. So the networking part, that's his cologne. We had a nonstop, you know, So as her, one of the things I really like to China mobile, uh, when they talked about in the keynote, the set of technologies, how they go deploy in that particular infrastructure and strategically offer Do I have fiber to the home? they are going to deploy public safety and security where all of these, you know, Try it with one thing, you know, try open shift with that one application and then also though, Now back to the point that you were bringing up in terms of operational model And in fact through this particular proof of concept, that was one of the things we were really attempting to highlight and and the services we have, all these partners are bringing their Cloudnative uh, even last night, so the full CACD pipeline that we deploy So, so I, I want to give you the final word cause you know, John was talking about it cycles, like security, data sovereignty and uh, you know, their own operational needs. Great to see, uh, you know, the global impact that's going to have in the telecommunications market. Thank you very much. For John Troyer, I'm Stu Miniman back with lots more here from CubeCon Claude,
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Beth Devin, Citi Ventures | Mayfield People First Network
>> Narrator: From Sand Hill Road, in the heart of Silicon Valley, it's the CUBE. Presenting, The People First Network, insights from entrepreneurs and tech leaders. >> Hello everyone welcome to this special CUBE conversation, I'm John Furrier, host of theCUBE. We're here at Mayfield Fund, on Sand Hill Road and Menlo Park. As part of Mayfield's People First Network, co-creation with SiliconANGLE and theCUBE and Mayfield. Next guest, Beth Devin, Managing Director of Innovation Network and Emerging Technologies at Citi Ventures. Thanks for coming on. >> Thanks for having me. >> Hey, thanks for coming in. We're here for the Mayfield fiftieth anniversary, where they're featuring luminaries like yourself, and we're talking about conversations around how the world's changing and the opportunities and the challenges can be met, and how you can share some of your best practices. Talk about what your role is at Citi Ventures and what your focus is. >> Sure, sure, and boy howdy, has it been changing. It's hard to keep up with. I've been at Citi Ventures about two years and one of the reasons I joined was to stand up an Emerging Technology practice. Citi Ventures does a lot of work in corporate venture investing. We tend to be strategic investors, for start up companies that are aligned with the strategy of Citi, as well as our client. We serve probably, eighty percent of the Fortune Five Hundred companies in the world. But we also are a really important part of the innovation ecosystem at Citi. Which is looking at how to drive culture change, broaden mindset, and really, enlist our employees to be part of the innovation process. So, we have an internal incubator, we have a Shark Tank-like process we call Discover Ten X. And what I really bring to the table with my team is monitoring, and learning about, and digesting technology that's not quite ready for commercialization but we think it might be disruptive in a good or challenging way for the bank or our clients. We try to educate and provide content that's helpful to our executives, and just the employee body at large. >> I want to get into a LinkedIn post you wrote, called the Tech Whisperer, which I love. >> Thank you. >> You're there to identify new things to help people understand what that is. But that's not what you've done. You've actually implemented technology. So, on the other side of the coin, in your career. Tell us about some of the things you've done in your career, because you've been a practitioner. >> Beth: Yeah. >> and now you're identifying trends and technologies, before you were on the other side of the table. >> That's right, and sometimes I'll tell you, I have that itch. I miss the operator role, sometimes. Yeah, you know, I feel so fortunate I sort of stumbled on computer science early when I was going to school. And, the first, I'd say twenty years of my career, were working in enterprise I.T, which at that time I couldn't even have made that distinction, like why do you have to say enterprise I.T. I was a software developer, and I was then a DBA, and I even did assembler language programing. So way back when, I think I was so fortunate to fall in to software engineering. It's like problem solving, or puzzle making, and you with your own brain and sort of typing can figure out these problems. Then over the years I became more of a manager and a leader, and sort of about a reputation for being somebody you could put on any hard problem and I'd figure a way out. You know tell me where we're trying to go it looks knotty, like not a fun project, and I would tackle that. And then I'd say, I had some experience working in lots of different industries. Which really gave me an appreciation, for you know, at the end of the day, we can all debate the role that technology plays in companies. But industries, whether it's health care or media, or financial services. There's a lot of the same challenges that we have. So I worked at Turner Broadcasting before it was acquired, you know by Time Warner and AOL. And I learned about media. And then I had a fantastic time working at Charles Schwab. That was my first big Financial Services role when it came back to the bay area. I worked at Art.Com, it was a need converse company, the first company I worked at where I was in charge of all the technology. We had no brick and mortar, and if the technology wasn't working, we weren't earning revenue, in fact, not only that, we were really making customers angry. I also had a role at a start up, where I was the third person to join the company, and we had a great CEO who had a vision, but it was on paper. And we hadn't really figured out how to build this. I was very proud to assemble a team, get an office, and have a product launch in a year. >> So you're a builder, you're a doer, an assembler, key coding, hexadecimal cord dumps back in the day. >> Way back when. We didn't even have monitors. I'll tell ya, it was a long time ago. >> Glory days, huh? Back when we didn't have shoes on. You know, technology. But what a change. >> Huge change. >> The variety of backgrounds you have, The LinkedIn, the Charles Schwab, I think was during the growth years. >> And the downturn, so we got both sides. >> Both sides of that coin, but again, the technologies were evolving. >> Yes. >> To serve that kind of high frequency customer base. >> Beth: That's right. >> With databases changing, internet getting faster. >> It has. >> Jeff: More people getting online. >> We were early adopters, I'll tell you. I still will tell people, Charles Schwab is one of the best experiences I have, even though at the end I was part of the layoff process. I was there almost seven years, and I watched, we had crazy times in the internet boom. Going in 98, 99, 2000, I can't even tell you some of the experiences we had. And we weren't a digital native. But we were one of the first companies to put trading online, and to build APIs so our customers could self service, and they could do that all online. We did mobile trading. I remember we had to test our software on like twenty different phone sets. Today, it's actually, so much easier. >> It's only three. Or two. Or one. Depending on how you look at it. >> That's right. We couldn't even test on all the phone sets that were out then. But that was such a great experience, and I still, that Schwab network, is still people I'm in touch with today. And we all sort of sprinkled out to different places. I think, I dunno, there's just something special about that company in terms of what we learned, and what we were able to accomplish. >> You have a fantastic background. Again the waves of innovation you have lived through, been apart of, tackling hard problems, taking it head on. Great ethos, great management discipline. Now more than ever, it seems to be needed, because we're living in an age of massive change. Cause you have the databases are changing, the networks changing, the coding paradigms changing. Dev ops, you've got the role of data. Obviously, mobile clearly is proliferated. And now the business models are evolving. Now you got business model action, technical changes, cultural people changes. All of those theaters are exploding with opportunity, but also challenges. What's your take on that as you look at that world? >> You know, I'm a change junkie, I think. I love when things are changing, when organizations are changing, when companies are coming apart and coming together. So for me, I feel like, I've been again, so fortunate I'm in the perfect place. But, one of the things that I really prided myself on early in my career, is being what I call the bridge, or the, the translator between the different lines of business folks that I work with. Whether it was head of marketing, or somebody in a sales or customer relationship, or service organization, and the technology teams I built and led. And I think I've had a natural curiosity about what makes a business tick, and not so much over indexing on the technology itself. So technology is going to come and go, there's going to be different flavors. But actually, how to really take advantage of that technology, to better engage your customers, which as you said, their needs and their demands are changing, their expectations are so high. They really set the pace now. Who would have though that ten years ago we'd live in an environment where industries and businesses are changing because consumers have sort of set the bar on the way we all want to interact, engage, communicate, buy, pay. So there's this huge impact on organizations, and you know, I have a lot of empathy for large established enterprises that are challenged to make it through this transformation, this change, that somehow, they have to make. And I always try to pay attention on which companies have done it. And I call out Microsoft as an example. I can still remember several years ago, being at a conference. I think it was Jeffrey Moore who was speaking, and he had on one slide... Here's all the companies in technology that have had really large success. Leading up to the internet boom days, there would be a recipe for the four companies that would come together. I think it was Sun, Oracle, and Microsoft. And then he said, and now here's the companies of today. And most young people coming out of college, or getting computer science degrees won't use any of these old technology companies. But Microsoft proved us all wrong, but they did it, focused on people, culture, being willing to say where they screwed up, and where they're not going to focus anymore, and part ways with those parts of their business. And really focus on who are their customers, what are their customer needs. I think there's something to be learned from those changes they made. And I think back to the Tech Whisperer, there's no excuse for an executive today, not to at least understand the fundamentals of technology. So many decisions have to be made around investment, capital, hiring, investment in your people. That without that understanding, you're sort of operating blind. >> And this is the thing that I think I love, and was impressed by that Tech Whisperer article. You know, a play on the Horse Whisperer, the movie. You're kind of whispering in the ears of leaders who won't admit that they're scared. But they're all scared! They're all scared. And so they need to get, maybe it's cognitive dissonance around decision making, or they might not trust their lead. Or they don't know what they're talking about So this certainly is there, I would agree with that. But there's dynamics at play, and I want to get your thoughts on this. I think this plays into the Tech Whisperer. The trend we're seeing is the old days was the engineers are out coding away, hey they're out there coding away, look at them coding away. Now with Cloud they're in the front lines. They're getting closer to the customer, the apps are in charge. They're dictating to the infrastructure what can be done. With data almost every solution can be customized. There's no more general purpose. These are the things we talk about, but this changes the personnel equation. Now you got engineering and product people talking to sales and marketing people, business people. >> And customers. >> They tend not to, they traditionally weren't going well. Now they have to work well, engineers want to work with the customers. This is kind of a new business practice, and now I'm a scared executive. Beth, what do I do? What's your thoughts on that dynamic? >> You know, I'm not sure I would have had insight in that if I hadn't had the oppurtunity to work at this little start up, which we were a digital native. And it was the first time I worked in an environment where we did true extreme programming, pair programming, we had really strong product leads, and engineers. So we didn't have project managers, business analysts, a lot of things that I think enterprise I.T tends to have. Because the folks, historically, at an enterprise, the folks that are specifying the need, the business need, are folks in the lines of business. And they're not product managers, and even product managers, I say in banking for example, they aren't software product managers. And so that change, if you really do want to embrace these new methods and dev ops, and a lot of the automation that's available to engineering and software development organizations today, you really do have to make that change. Otherwise it's just going to be a clumsy version of what you use to do, with a new name on it. The other thing though that I would say, is I don't want to discount for large enterprises is partnerships with start up companies or other tech partners. You don't need to build everything. There's so much great technology out there. You brought up the Cloud. Look at how rich these Cloud stacks are getting. You know, it's not just now, can you provision me some compute, and some storage, and help me connect to the internet. There's some pretty sophisticated capabilities in there around A.I and machine learning, and data management, and analysis. So, I think overtime, we'll see richer and richer Cloud stacks, that enables you know, every company to benefit from the technology and innovation that's going on right now. >> Andy Jassy, the CEO of Amazon Web Search, has always said whenever I've interviewed him, he always talks publicly now about it is, two pizza teams, and automate the undifferentiated heavy lifting. In tech we all know what that is, the boring, mundane, patching, provisioning, ugh. And deploying more creative research. Okay so, I believe that. I'm a big believer of that philosophy. But it opens up the role, the question of the roles of the people. That lonely DBA, that you once were, I did some DBA work myself. System admins, storage administrator, these were roles, network administrator, the sacred God of the network, they ran everything. They're evolving to be much more coding oriented, software driven changes. >> It's a huge change. And you know, one thing that I think is sad, is I run into folks often that are, I'll just say, technology professionals, just say, you know, we're at large. Who are out of work. You know, who sort of hang their head, they're not valued, or maybe there's some ageism involved, or they get marked as, oh that's old school, they're not going to change. So, I really do believe we're at a point, where there's not enough resources out there. And so how we invest in talent that's available today, and help people through this change, not everybody is going to make it. It starts with you, knowing yourself, and how open-minded you are. Are you willing to learn, are you willing to put some effort forth, and sort of figuring out some of these new operating models. Because that's just essential if you want to be part of the future. And I'll tell you, it's hard, and it's exhausting. So I don't say this lightly, I just think. You know about my career, how many changes and twists and turns their have been. Sometimes you're just like, okay I'm ready, I'm ready to just go hiking. (Beth laughs) >> It can be, there's a lot of institutional baggage, associated with the role you had, I've heard that before. Old guard, old school, we don't do that, you're way too old for that, we need more women so lets get women in. So there's like a big dynamic around that. And I want to get your thoughts on it because you mentioned ageism, and also women in tech has also grown. There's a need for that. So there's more opportunities now than ever. I mean you go to the cyber security job boards, there are more jobs for cyber security experts than any. >> Oh, I'll tell you, yesterday, we held an event at our office, in partnership with some different start ups. Because that's one of the things you do when you're in a corporate venture group, and it was all on the future of authentication. So it was really targeted at an audience of information security professionals and chief information security officers. And it was twenty men and one woman. And I thought, wow, you know I'm use to that from having been a CIO that a lot of the infrastructure roles in particular, like as you were saying, the rack and stack, the storage management, the network folks, just tend to be more male dominant, than I think the product managers, designers, even software engineers to some extent. But here you know, how many times can you go online and see how many openings there are for that type of role. So I personally, am not pursuing that type of role, so I don't know what all the steps would need to be, to get educated, to get certified, but boy is there a need. And that needs not going to go away. As more, if everything is digitized and everything is online. Then security is going to be a constant concern and sort of dynamic space. >> Well, we interview a lot of women in tech, great to have you on, you're a great leader. We also interview a lot of people that are older. I totally believe that there's an ageism issue out there. I've seen it first hand, maybe because I'm over fifty. And also women in tech, there's more coming but not enough. The numbers speak for themselves. There's also an opportunity, if you look at the leveling up. I talked to a person who was a network engineer, kind of the same thing as him, hanging his head down. And I said, do you realize that networking paradigm is very similar to how cyber works. So a lot of the old is coming back. So if you look at what was in the computer science programs in the eighties. It was a systems thinking. The systems thinking is coming back. So I see that as a great opportunity. But also the aperture of the field of computer science is changing. So it's not, there are some areas that frankly, women are better than men at in my opinion. In my opinion, might get some crap for that. But the point, I do believe that. And there are different roles. So I think it's not just, there's so much more here. >> Oh, that's what I try to tell people. It's not just coding, right. There's so many different types of roles. And unfortunately I think we don't market ourselves well. So I encourage everyone out there that knows somebody. (Beth laughs) Who's looking-- >> If someone was provisioned Sun micro-systems, or mini computers, or workstations, probably has a systems background that could be a Cloud administrator or a Cloud architect. Same concepts. So I want to get your thoughts on women in tech since you're here. What's your thoughts on the industry, how's it going, things you advise, other folks, men and women, that they could do differently. Any good signs? What's your thoughts in general? >> Yeah so, first of all, I'm just a big advocate for women in general. Young girls, and, young women, just getting into the work force, and always have been. Have to say again, very fortunate early in my career working for companies like a phone company, and Schwab, we had so many amazing female leaders. And I don't even think we had a program, it was just sort of part of the DNA of the company. And it's really only in the last couple of years I really seen we have a big problem. Whether it's reading about some of the cultures of some of the big tech companies, or even spending more time in the valley. I think there's no one answer, it's multifaceted. It's education, it's families, it's you know, each one of us could make a difference in how we hire, sort of checking in what our unintended biases are, I know at Citi right now, there's a huge program around diversity and inclusion. Gender, and otherwise. And one of the ways I think it's going to be impactful. They've set targets that I know are controversial, but it holds people accountable, to make decisions and invest in developing people, and making sure there's a pipeline of talent that can step up into even bigger roles with a more diverse leadership team. It will take time though, it will take time. >> But mind shares are critical. >> It absolutely is. Self-awareness, community awareness, very much so. >> What can men do differently, it's always about women in tech, but what can we, what can men do? >> I think it's a great question. I would say, women can do this too. I hate when I see a group together, and it's all women working on the women issue. Shame on us, for not inviting men into the organization. And then I think it's similar to the Tech Whisperer. Don't be nervous, don't be worried, just step in. Because, you know, men are fathers, men are leaders, men are colleagues. They're brothers, they're uncles. We have to work on this together. >> I had a great guest, and friend, I was interviewing. And she was amazing, and she said, John, it's not diversity and inclusion, it's inclusion and diversity. It's I-N-D not D-I. First of all, I've never heard of it, what's D-N-I? My point exactly. Inclusion is not just the diversity piece, inclusion first is inclusive in general, diversity is different. So people tend to blend them. >> Yes they do. >> Or even forget the inclusion part. >> Final question, since you're a change junkie, which I love that phrase, I'm kind of one myself. Change junkies are always chasing that next wave, and you love waves. Pat Gelsinger at VMWare, wave junkie, always love talking with him. And he's a great wave spotter, he sees them early. There's a big set of waves coming in now, pretty clear. Cloud has done it's thing. It's only going to change and get bigger, hybrid, private, multi Cloud. Data, AI, twenty year cycle coming. What waves are you most excited about? What's out there? What waves are obvious, what waves aren't, that you see? >> Yeah, oh, that's a tough one. Cause we try to track what those waves are. I think one of the things that I'm seeing is that as we all get, and I don't just mean people, I mean things. Everything is connected, and everything has some kind of smarts, some kind of small CPU senser. There's no way that our existing, sort of network, infrastructure and the way we connect and talk can support all of that. So I think we're going to see some kind of discontinuous change, where new models are going to, are going to absolutely be required cause we'll sort of hit the limit of how much traffic can go over the internet, and how many devices can we manage. How much automation can the people and an enterprise sort of oversee and monitor, and secure and protect. That's the thing that I feel like it's a tsunami about to hit us. And it's going to be one of these perfect storms. And luckily, I think there is innovation going on around 5G and edge computing, and different ways to think about securing the enterprise. That will help. But it couldn't come soon enough. >> And model also meaning not just technical business. >> Absolutely. Machine the machine. Like who's identity is on there that's taken an action on your behalf, or the companies behalf. You know, we see that already with RPA, these software robots. Who's making sure that they're doing what they're suppose to do. And they're so easy to create, now you have thousands of them. In my mind, it's just more software to manage. >> And a great contrary to Carl Eschenbach, former VMware CEO now at Sequoia, he's on the board of UIPath, they're on the front page of Forbes today, talking about bots. >> Yes, yes, yes, I've heard them speak. >> This is an issue, like is there a verification. Is there a fake bots coming. If there's fake news, fake bots are probably going to come too. >> Absolutely they will. >> This is a reality. >> And we're putting them in the hands of non-engineers to build these bots. Which there's good and bad, right. >> Regulation and policy are two different things, and they could work together. This is going to be a seminal issue for our industry. Is understanding the societal impact, tech for good. Shaping the technologies. This is what a Tech Whisperer has to do. You have a tough job ahead of you. >> But I love it. >> Jeff: Beth thank you for coming on. >> Thank you for having me. >> I'm Jeff Furrier for the People First Network here at Sand Hill Road at Mayfield as part of theCUBE and SiliconANGLE's co-creation with Mayfield Fund, thans for watching.
SUMMARY :
in the heart of Silicon Valley, I'm John Furrier, host of theCUBE. and how you can share some of your best practices. the reasons I joined was to stand up an I want to get into a LinkedIn post you wrote, So, on the other side of the coin, before you were on the other side of the table. There's a lot of the same challenges that we have. key coding, hexadecimal cord dumps back in the day. We didn't even have monitors. But what a change. I think was during the growth years. the technologies were evolving. With databases changing, I can't even tell you some of the experiences we had. Depending on how you look at it. We couldn't even test on all the phone sets Again the waves of innovation you have lived through, And I think back to the Tech Whisperer, And so they need to get, Now they have to work well, and a lot of the automation that's available to the sacred God of the network, they ran everything. And you know, one thing that I think is sad, And I want to get your thoughts on it because Because that's one of the things you do when you're And I said, do you realize that networking paradigm is very And unfortunately I think we don't market ourselves well. So I want to get your thoughts on women in tech And I don't even think we had a program, it was just It absolutely is. And then I think it's similar to the Tech Whisperer. Inclusion is not just the diversity piece, and you love waves. And it's going to be one of these perfect storms. And they're so easy to create, now you have And a great contrary to Carl Eschenbach, If there's fake news, fake bots are probably going to come too. to build these bots. This is going to be a seminal issue for our industry. I'm Jeff Furrier for the People First Network here
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Aaron Kao & Deepak Singh, AWS | AWS Summit New York 2019
>> Announcer: Live from New York. It's the Cube. Covering AWS Global Summit 2019. Brought to you by Amazon Web Services. >> Welcome back rush hour's started a little bit early here in New York City with over 10,000 people in attendance for AWS summit in New York City. I'm Stu Miniman, my co host for today is Corey Quinn. Happy to welcome to the program two first time guests from our host, Amazon Web Services. To my right here is Deepak Singh, who's the Director of Compute Services. Sitting to his right is Aaron Kao, who's the Senior Manager of Product Marketing. Gentlemen, thanks so much for joining us. >> Thank you for having us. >> Thank you for having us. >> Alright, so we know that every day we wake up and there's new announcements coming from Amazon and the only way most of us keep up with it is trying to read Corey's newsletter here. But in your group in compute, we know there's a lot going on and quite a few announcements. So Aaron, why don't you kick us off with some of the hard news that went through this morning? >> Yeah, we just launched Amazon EventBridge. It's a serverless event boss that allows you to connect your applications with data from sources like SaaS applications, AWS resources and your own applications. >> All right, so Deepak, I would love to dig into that a little bit. Like you said you that Amazon, you've learned a lot from CloudWatch and building this tool. Everybody looking at kind of, you know, Lambda in the serverless space is like, Okay, how are all these pieces going to come together? Is it all Amazon services all the time? And of course, Amazon has a huge ecosystem, but help us understand or layer down you know how this works? >> Yeah so as you know, AWS services send events to CloudWatch events. They consume events from CloudWatch events. One of the best ways to do it is through Lambda. One of Lambda's biggest strengths is the number of integrations we have with event sources, both taking in events and triggering events. But to your point, there are always events inside database ecosystem. And I think one of the things as a service owner that really excites me about EventBridge is how now customers have access not just to event triggers inside AWS, but also to our partners like Zendesk and the applications you can build will be really exciting. >> Alright, quite a few other announcements, maybe walk us through some of them. >> Yeah, CDK is another announcement where it's an open source software development framework that allows you to model your applications using programming language like TypeScript, Java, Python and .net. You know, the whole thing with building in the cloud, it's slightly different. You used to take your code, put it on a server and run it. Now people are building things a little more distributed, using a lot of different resources for their applications. So it's getting, provisioning your infrastructure is a little bit harder, right? You either have to do a lot of things manually or maybe you're writing a lot of scripts or using a domain specific language. But with CDK, you're now able to use the programming languages that you're programming your applications with, to model and provision your infrastructure. So it's super helpful. Really think it's going to help developers increase their development velocity. They're able to use things like loops, conditions, object oriented programming, they don't have to do context switching and just with a few lines of code, they're able to do a lot more. >> All right. >> I wound up playing with it a little bit when it was in preview and one of the things that I found that it was extremely helpful was, it was a lot easier for me to write something in using CDK, and then see what that rendered down to in terms of cloud formation and then oh, I guess that's how I do it in cloud formation, which was great. The counterpoint though, is it also felt at times like it was super wordy. So if I read that what it generates compared to what I normally write, which is admittedly awful, but I almost start to feel like I'm doing it wrong with that and then with amplify and with Sam and the rest, there's a lot of higher level abstractions that build cloud formation for you. But then it renders down in a few different and key ways. Under the hood, how much are these products that you're coming out with starting to shape the direction of cloud formation itself, or is that mostly baked and done? >> There's a lot of products that we're building that you know, are complementing cloud formation. You know, cloud formation is the templating modeling language to provision AWS resources. But on top of that, we have things like Sam right, that provides a declarative a more high level abstract declarative way to build on top of cloud formation, you know, we have Amplified that also uses cloud formation to help you build mobile applications and front end development. And then finally, you have CDK for just general use. So, these things are all complementing and, you know, things customers are asking for and helping us shape the ecosystem there. >> Yeah, Deepak the container space, of course, has been you know, one of these tidal waves that we've been watching and it's fundamentally changing the way people architect their applications and has huge impact on your product line. Give us the update. If you could just start with some of the high level, I remember first when I talked to you a couple of years ago it was when the whole Kubernetes piece was sorting out. So you know, ECS, EKS, used to have a much longer name that Cory would constantly >> Only for Cory >> Finally you've fixed the compensation problem where someone was getting compensated based upon number of syllables and a service name so good on you on that one. >> Right and you know the acronym A-M-I maybe you can you know settle once and for all you know how how we pronounce that. >> I'm old school it'll always be AMI. (laughs loudly) >> Walk us through kind of, you know your container services. >> I think the great thing about containers is as you said the adoption is everywhere. And what we find is there's a growth of ECS, the growth of EKS whether you're running it on EC2 or Fargate everything is growing like crazy, because people find new interesting ways to run applications based on what they know and what they're comfortable with. We have customers, customers like SNAP that know Kubernetes well and they are building on there're building a big chunk of their new infrastructure on EKS on AWS and it basically helps the developer velocity. On the flip side, you have customers like Turner Broadcasting that run a lot of their web services or the Comedy Central content properties like that on Fargate because they can just stamp them out. They all you know, it's a website, it's a service that they can just keep expanding. So it boils down to what are the key things that you're comfortable with? What are the reasons you've picked something. So if you're running like SNAP across, you know, in many different places, you are likely to choose Kubernetes and standardize on that. So that's the best part for me is, people have choices and then they pick based on what they need at that point in time, which can be two different teams at the same place, picking a different solution. I will add that one of the areas that we are focused on now is observe ability and developer experience. Those are areas that our customers have been asking for. CDK plays into that you saw in the demo this morning and with observe ability with container insights and with the fluid plugins that we announced. I think those are areas that you'll see us do a lot more going forward. >> So right, that was one of news today, CloudWatch container insights just to explain what that one is. >> So historically, when you do CloudWatch look, it's very BM-centric, you're looking at CPU memory, you assuming an application, instances run for a particular period of time. In the container world, you have services where the underlying tasks come and go, all you know, at a very different rate. CloudWatch container insights is meant to be a world that's aware of the fact that your containerized applications are tasks and services and pods, so you're able to get more fine grained metrics on the things that container customers care about and you're not trying to use BM-centric language to look at a containerized infrastructure. So that's the biggest reason for doing that. And then on the Fluent Bit side was, our customers want log routing to whatever they want to do it on. Whether they want it to send to S3 or the Elasticsearch We do that with Kinesis Data Firehose. So we basically wrote a bunch of open source plugins for Fluent Bit that just send your logs where you want them to go. So that's kind of where we are focused. >> Yeah, I view it as more of a log router than I do almost anything else. >> It is that. >> Yeah. A question of: Where does it come from? Where does it go? How do you keep it straight? >> Yeah. >> It's at this point, what does it output to you these days? Are there are various destination options, third party vendors, CloudWatch, history? >> So we wrote two plugins one was for well three, I don't know. One for S3 because so many people don't understand the data to S3. The other one was a Kinesis Data Firehose. So from there, you can send it to Redshift, you can send it to you can send it to Elasticsearch. So based on what you however you want another analyze it, you can send it to a custom resource that's Kinesis. So, you're using some third party provider, you can just send your logs over to those. >> Yeah, Corey, you know, you're dealing with a lot of customers, you know, there's now so many, you know, different instance types and some of the pieces, you know, what's the feedback you're giving to, you know, Amazon these days? >> Entirely depends upon the service teams and it ranges from this is amazing, excellent job to okay, it's a good start. And it's always a question though, it's when you have what 200 service options or darn near it at this point, 170. It's impossible to wind up with something that is evenly consistent and you have services that are sub components of other services and built on top. I mean, I think the, I guess the feedback I've been giving almost universally across the board is, assume that I am about 20% as smart as you right now seem to think I am and then explain it to me and then I'll probably understand it a lot better. It comes down to service to storytelling, more or less of meeting people at various points along their journey and then I was mentioning in our editorial session just before this segment, that that's something that AWS has markedly improved on the last two or three years. Where you have customer stories that are rapidly moving up the stack as far as leverage services. It's not just we took the VMs and now we run them somewhere else. Now it's about building a high, extremely volume intensive applications on top of a whole bunch of managed services and these are serious companies. These are regulators it's not just Twitter for pets anymore. >> Nothing wrong with that. >> No. >> So, you know, we were discussing, like FINRA was a great case study this morning and they talked about in the four years that they've been on, they've re-architected three times. You know, how do you balance all of these new instances coming out with, you know, and how do I make sure that I deploy something today that I've got the flexibility to change, but you know, I want to be able to lock in my pricing and make it easier. >> So actually, we think about that quite a bit. One of the reasons we built app match the way we did, as something that sits outside the container orchestrator, was it doesn't lock you into choosing one or the other or even choosing an architecture. You can start off with a monolith, start putting side cards on it, getting visibility into all your traffic, then portions of your applications you can start breaking out, you can put them on Fargate, you can put them on ECS, you can put them on the EC2. I think that is something we did very consciously because so many of our customers are in that position and I think more and more are going to go higher up the stack using managed databases, using Lambda, but it's not decision they need to make all up front. They can do it piecemeal, and we see our customers find another good example, they've done that. >> One of the philosophies of it, like AWS is giving customers building blocks to build things on. So the whole thing is, here's a new primitive that you can use, then you can take it out, replace something with something else, depending on your needs. So we give customers flexibility and choice. >> And part of the problem is that, that very much becomes a double-edged sword. I mean, most recently, you've had effectively declared war on Alphabet. I don't mean the large cloud provider that turns things off for a living. I'm talking about the English alphabet, where you take a look at all the different EC2 instance types. I think in US East one now there's over what is it 190 different instances you can pick from. It leads to analysis paralysis, which one do I pick? What's the right answer? What am I committing to, what am I not? And you see, that's a microcosm of the larger service problem. I want to build a web app that does a thing, which services do I use, you open up the service listing and you just get this sort of sinking sensation? I get that I can't imagine what someone new to the space is getting to there. >> All right, and this is where things like Amplify, Fargate, AWS Batch where you don't need to select an instance. Where you just tell us what your requirements are and Batch makes that selection for you. The core building blocks are important because you can't really figure out what to do. But then you'll see us do much more about the stack to help people get there. It's an ongoing thing that will keep trying to tackle but you'll see a lot more of that. >> It's controversial. One of my favorite things about Lambda, for example, is there's one knob RAM and as you turn that up, other performance characteristics increase and people complain about it but I love the simplicity, because I don't have to sit and think and make all these different decisions. It's one access. >> Yeah, but if you want more knobs, you can use Fargate. So I think that, that's the beauty of it that you do have that choice. >> Yeah, one of the lines Aaron, I really liked in Werner's keynote is he said, "we've really, you know, my words commoditized IT. "We all have access to all of the tools now." You know, that was, you know what big data originally and cloud also was, you know, you used to have to be a nation state or fortune 100 to be able to do some of these things so, you know, what do you hear from customers? You know, how do they make sure, you know, they're staying competitive and ahead, and therefore, in that relationship between the business and IT, what do you hear from your customers these days? >> In terms of that? Well, I think for, you know, for customers, like I think EventBridge is a, a pretty good example of that, in terms of customers asking us for ability to, you know, integrate their SaaS providers, integrate a lot of different things and not have to, you know, not have to do a lot of undifferentiated heavy lifting and things like that and, you know, customers are increasingly moving towards like event driven architectures and they asked us, hey, we really like CloudWatch events and how you do things with IT automation and then bringing SaaS providers in and, we want to, you know, we don't want to build pulling infrastructure in order to access API's and do all all those heavy liftings. What we did was we built out, we took CloudWatch events and added new features for SaaS applications and built that into a separate service for people to use. So that's like, you know, a lot of the relationships we have with our customers, listening to what they need and giving them what they want. >> And I think that, that's a very valuable thing. You know, we used to say, you know, five years ago, you would talk about, you know, let's get rid of undifferentiated heavy lifting. >> Yeah. >> Well, now it's like, no, no, let's enable, you know, something that you would have thought was heavy lifting and we're daunted to be able to do it but now hopefully, it's easier, because a lot of this stuff, you know, as Corey said, this is still a little bit daunting and you know, well you've got a lot of ecosystem and service providers and services to help us, you know, take care of, you know, because it's the Paradox of Choice with all the options that you have. >> And I think that's the beauty of what, I mean our customers are smart, they manage to find it interesting ways to keep challenging us and they keep us busy. But I also think that really, really many of them, the ones who have been able to be successful, have figured out what it means to take all the tools we give them, which are the ones where they want to completely hand it over to AWS and give us the responsibility and then which ones do they really feel they care about and the ones who can find their balance are the ones that we see moving the fastest. I think that's what we're trying to do. >> All right, now and one thing that does absolutely permeates virtually every service team I've worked with at AWS, I mean, you I've had this experience with you, where I talked about how my use case isn't a terrific fit for your product and your response is always well, what is your use case? It's not, is starting off from the baseline assumption that my use case is ridiculous, which let's face it, it probably is. But being able to address a customer need and understand that even if it doesn't dictate roadmap, is incredibly valuable and I don't find that there are too many players in any space, let alone this one that are willing to have the patience to listen to, frankly, some loud person wearing a suit. >> We try, I mean, I think you heard Andy say there's so much like a big chunk 85, 90% of our roadmap is customer requests, I would say that even the remaining 10% is maybe not things that they've directly asked for but things that we've observed they've run into or that we've run into working with, you know, the one or two customers who are ahead of the pack. And Okay, they have this problem, how do you generalize that? And we try and understand what it means. One of the reasons we made the container roadmap public, was this space is moving so quickly, it's almost impossible for us to talk to enough customers to figure that out. So like, Okay, this gives us an avenue for them to come to us and just tell us, GitHub issues. >> Yeah, so right. Final question I have for both of you. Directionally looking forward, you know, the roadmap, we love when there is publicly facing material not under the NDAs that we normally have to be able to hear. So what are you hearing from your customers? What direction are they pulling you towards and that we should expect to watch AWS kind of further, as we head towards re:Invent later this year. >> I think customers are asking us for different things for developer experience, especially event driven architectures. I think there's going to be a lot of interesting things happening in the Lambda space and that entire space. >> Yeah and to add to that, I think, to your point earlier, helping them simplify choices is going to be a big part of it. Meeting them where they are, in their IDEs with a tooling is a big part of what you'll see us do. So, you know, I think you saw examples today and we'll keep building on top of those. >> All right, well, send our congratulations to the two pizza teams that worked on all of the projects that were announced today. Look forward to seeing you, you know, down the road. Thanks so much and welcome to being Cube alumni. >> Thank you for have us. >> Thank you for having us on. >> Appreciate it. >> Aaron, Deepak you know, from AWS. He's Corey Quinn, I'm Stu Miniman. Back with lots more coverage from AWS summit, here in New York City, thanks for watching the Cube.
SUMMARY :
Brought to you by Amazon Web Services. Happy to welcome to the program two first time guests So Aaron, why don't you kick us off It's a serverless event boss that allows you Everybody looking at kind of, you know, and the applications you can build will be really exciting. Alright, quite a few other announcements, that allows you to model your applications So if I read that what it generates that you know, are complementing cloud formation. So you know, ECS, EKS, used to have a much longer name so good on you on that one. and for all you know how how we pronounce that. I'm old school it'll always be AMI. you know your container services. On the flip side, you have customers So right, that was one of news today, In the container world, you have services Yeah, I view it as more of a log router How do you keep it straight? So based on what you however you want another analyze it, that is evenly consistent and you have services that I've got the flexibility to change, you can start breaking out, you can put them on Fargate, here's a new primitive that you can use, and you just get this sort of sinking sensation? Where you just tell us what your requirements are is there's one knob RAM and as you turn that up, that you do have that choice. to be able to do some of these things so, you know, and things like that and, you know, You know, we used to say, you know, five years ago, and you know, well you've got a lot of ecosystem and the ones who can find their balance I mean, you I've had this experience with you, you know, the one or two customers So what are you hearing from your customers? I think there's going to be a lot of So, you know, I think you saw examples today all of the projects that were announced today. Aaron, Deepak you know, from AWS.
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Deepak Singh & Aaron Kao, AWS | AWS Summit New York 19
>> live from New York. It's the Q covering AWS Global Summit 2019 brought to you by Amazon Web service, is >> Welcome back. Rush hours started a little bit early here in New York City, with over 10,000 people in attendance for any of US Summit in New York City. I'm stupid, and my co host for today is Corey Quinn. Having a welcome to the program to first time guests from our host Amazon Web service is to my right. Here is Deepak Singh, who is the director of Compute Service's. To his right is Aaron Cow, Who's the senior manager product marketing Gentlemen, thanks so much for joining us. Thank >> you for having us >> for having us, all right, so we know that every day we wake up and there's new announcements coming from Amazon, and the only way most of us keep up with it is trying to re Cory's newsletter here. But in your group and computer, we know there's a lot going on and quite a few announcements. So, Aaron, what do you kick us off with? Some of the hard news that went >> through this morning? Yeah, we just launched Amazon event. Bridgette's Ah, serverless event boss that allows youto connect your applications with data from sources like sass applications. A devious resource is in your own applications. >> All right, So Deepak would look to dig into that a little bit. I like you said, you that Amazon. You learned a lot from cloudwatch in building this tool. Everybody looking at kind of lambda and the service faces, Like Okay, how all these pieces together is that all? Amazon service is all the time. And, of course, Amazon has a huge ecosystem. But help help us understand a layer down. You know how this works. >> Yeah. So, you know, a dress service send events watchman consumer event from one of the best ways to do it is through Lando. Lando. One of London's biggest trends is the number off integration we have with events both taking in events and triggering event. But to your point there already events inside database system. I think one of the things as a service owner, that really excites me about event. How now? Customers of access, not just two ventricles inside eight of us were awesome apartments extended so that the application you can build will be really exciting. >> Quite a few other announcements maybe August or someone CK >> is another announcement where it's open. Source. Software development framework allows you to model your applications using programming language like typescript Job a python and got that. You know the whole thing with building in the cloud. It's slightly different. You usedto take your coat. Put it on a servant. Run it. Now people are building things a little more distributed. Using a lot of different resource is for their applications, so it's getting provisioning. Your infrastructure is a little bit harder, right? Either Have to do a lot of things manually. Are maybe you're writing. A lot of scripts are using a domain specific language, But with CD Kay, you're now able to use the programming languages that you're hurting your applications with two model and provisions your infrastructure. So it's super helpful. Really think it's gonna help developers increase their development velocity? They're able to use things like loops, conditions, object oriented programming. They don't have to do context switching and just a few lines of code. They're able to do a lot more. All right, >> I want I want a playing with it a little bit when it was in review, and one of things that I found that it was extremely helpful was it was a lot easier for me to write something in using CD kay and then see what that rendered down to in terms of cloud formation. And then, oh, I guess that's how I do it in cloud formation, which was great. The counterpoint, though, is it also felt, at times like it was super wordy. So if I read that what it generates compared to what I normally right, which is admittedly awful. But it's all right, we'll start to feel like I'm doing it wrong with that. And then with amplify and with Sam and the rest. There's a lot of higher level abstractions that build cloud formation for you. But then it renders down in a few different key ways under the hood. How much are these products that you're coming out with starting to shape the direction of confirmation itself? Or is that mostly baked and done? >> There's a lot of products that we're building that you know are complimenting information. Information is the template ing modeling language to provisional abusive resource is put on top of that. We have things like Sam, right? That provides a declared of ATM or high level abstracted declared way to build on topical information. You know, we have amplified also use this information to help you build mobile applications in front development and then finally have see decay for general use other things. They're all complimenting and you know are things customers are asking for helping us >> get the ecosystem. Deepak. The container space, of course, has been You know what one of these tidal waves that we've been watching on It's fundamentally changing the way people architect their applications. That huge impact on your product line Give us the update. If you could just start with some of the high level. Remember first when I talk to you. A couple of years ago, the whole kubernetes piece was sorting out. So you know, e c s E. K s usedto have a much longer name that Cory >> Cory. Finally, you fix the compensation problem where someone was getting compensated based upon number of syllables in a service name. So good on you on that one. >> Right on. Uh, you know, acronym, am I? Maybe you can you know, settle once and for all. You know how how we pronounce that >> I'm old school in love with the Army. >> But what what walk us through? Kind of. You know, your container service is, >> I think, the great thing about container, I said, adoption is everywhere on what we find. It brought a VCs the growth of cares where they're running it on to our fargate. Everything is growing like crazy because people find new interesting ways to run applications based on what they know. One what they're comfortable with their customers. Customers like Snap. There's no community well, and they're building on their building a big chunk of their new infrastructure on kneecaps or need to be with, and it basically helped develop a velocity. On the flip side, your customers like Turner Broadcasting that run a lot of their Web service is the comedy central content properties like that on Fargate because they can just stamp them out. They all you know, it's about time. It's a service that you can just keep expanding. So it boils down to one of the key things that you're comfortable with. One of the reasons you fix something if you are running like snap across. You know, in many different looks places you are likely to choose community and standardize on that. So that's the best part for me is people have choices and then the pic based on what they need. At that point in time, it can be two different teams at the same place. Picking a different solution. I will add that one of the areas that we are focused on now is a dub ability and develop experience, though the areas that our customers have been asking for CD Kay played into that record in the demo this morning. And with the probability with container inside on with the fluid that be announced, I think though that area, they do a lot more >> going forward, right? That was one of those cloudwatch container insights. Just explain what that one is >> so historically, when you do cloudwatch look very bm centric, you're looking at CPU memory. You're zooming application. We are instances run for a particular period of time. At the container world you have service is with the underlying tasks. Come and go all you know, a very different rate container inside. It's meant to be a world aware of the fact that you're containerized application that fast service is and part, they're able to get more fine grained metrics on the things that container customers care about. And you're not trying to use the BM centric language to look at the content. That's the biggest reason for doing that. And then on the floor in bedside Boy, our customers want loud rounding to whatever they want to do it on where they understand three or elasticsearch. We do that with data borrows. So we basically wrote a bunch of open source plug in for fluent, but they just end your log where you want them to go. That's kind of maybe a >> Yeah, I view it as more of a log router than I do. Almost anything else? Yeah, a question of where did it come from? Where does it go? How do you do? Keep straight. It's at this point. What is it out? What is it output to these days of their various destination options? Third party vendors cloudwatch history >> to plug in 14315413 because so many people in the center there with three the other one was like Anita. There. Apart from there, you can send it to read, Chef, you can send it todo you can send it to elasticsearch. So based on what however you want and I'll analyze it, you can send it to a custom resource. So you want you're using some third party provider. You can just send your logs over to those. >> Corey, you know, you're dealing with a lot of customers. You know, there's so many, you know, different instance types and some of some of the pieces. You know, what's the feedback you're giving? You know, Amazon these days >> entire depends upon the service teams, and it ranges from This is amazing. Excellent job, too. Okay, it's a good start, and it's always a question, though. It's when you have what 200 service options are darn near. It at this point aren't 70. It's impossible to wind up with something that is evenly consistent, and you have service is that air sub components of other service is built on top. I mean, I think the uh, I guess the feedback I've been giving almost universally across the board is assume that I am about 20% as smart as you right now seem to think I am and then explain it to me, and then I'll probably understand it a lot better. It comes down to service the storytelling more or less of meeting people of various points along their journey, and that I was mentioning in our editorial session just before this segment that that's something that AWS has markedly improved on the last two or three years, where you have customer stories that are rapidly moving up the up the stack as Faras Leverage Service's It's not just we took the EMS, and now we run them somewhere else. Now it's about building of extremely volume intensive applications on top of a whole bunch of managed service is and these air serious cos these air regulators. It's not just Twitter for pets anymore. >> Nothing wrong with that. No, >> So way were discussing like Enron was a great case this morning, and they talked about in the four years that they've been on, they re architected three times, you know, how do you balance all of these new wins is coming out with, you know, how do we make sure that I deploy something today that I've got the flexibility to change. But, you know, I want to be able to lock in my pricing and make it easier. >> Actually, we think about that quite a bit. One of the reasons we met, the way we did something that sits outside a container orchestrator. What? It doesn't lock you into choosing one or the other or even using an architecture. You can start over the monolith, start putting sidecars on it. It's getting with the ability to all your traffic portions of applications. You can start breaking out. You can put them on target. You can put them on PCs. You can put them on it, too. I think that is something we did very consciously because so many of our customers are in that position. And I think more and more are going to go higher up the stock using managed databases. You think lambda. But it's not decision they need to make all up front. They can do it piecemeal, and we see a custom fender. The good example there done that. >> I think one of the >> philosophies of like eight of us is giving customers building blocks the buildings on, so the whole thing is here's a new primitive that you can use. Then you can take it out, replace something with something else, depending on your needs. So we give customers flexibility and choice. >> And part of the problem is that that very much becomes a double edged sword. I mean, most recently you've had effectively declared war on alphabet. I don't mean the large cloud provider that turns things off for a living. I'm talking about the English alphabet where you take a look at all the different ec2 instance types. I think in US East one. Now there's over. What is it? 100 90 different instances you can pick from. It leads to analysis paralysis. Which one do I pick? What's the right answer? What am I committing to? What am I not? And you see that? That's a microcosm. The larger service problem. I want to build a Web app that does a thing. Which service is do I use? You open up the service listing and you just get this sort of sinking sensation. I get that. I can't imagine what someone new to the space is getting to >> you, and this is where things like amplify fargate aws patch. You don't need to select an instance where you just tell us for your requirements are on Batch makes that collection for you the core building. What's important because you can't really figure out what to do. But then you see us too much more about the attack to help people get there. It's an ongoing thing that will keep trying to tackle, but you see a lot more of that. >> It's controversial. One of my favorite things about Lambda, for example, is there's one knob ram, and as you turn that up, other performance characteristics increase and people complain about it. But I love the simplicity because I don't have to sit and think and make all these different decisions. It's one access, >> but if you want more knob, you can you fuck it. So I think that that's the beauty ofit that you do have that choice. >> Yeah, one lines there, and I really liked it. Borders keynote. Is he said way? Really? You know my words, commoditized. I t We all have access to all of the tools now, you know that was you know what big date originally file. It also was used to have to be a nation state 4100 to be able to do some of these things. So, you know, what do you hear from customers? How do they make sure you know, they're staying competitive and ahead on their four in that relationship between the business and I T. What do you hear from your customers these days? >> In terms of that? Well, I think, um, for you know, for customers like I think of Emperor age is a, uh, a pretty good example off that in terms of customers asking us for ability to, you know, integrate their SAS providers and a great a lot of different things and not have thio you No, no, no. >> I have >> to do a lot of undifferentiated heavy lifting and things like that. And customers are increasingly moving towards, like avenger oven architectures. And they asked us, Hey, we really like cloudwatch events and how you do things with a iittie automation and then bringing SAS providers and on way wantto you know, we don't want to build a polling infrastructure and orderto access athe eyes and do all all the heavy lifting. What we did was we built out way took cloudwatch events and added new features for SAS applications and build that into a separate service for people to use. That's like, you know, a lot of the relationships we have our customers listening to what they need and giving them what they want. >> I think that that's a very valuable thing. We used to say, You know, five years ago you would talk about, you know, let's get rid of indifferent, heavy lifting Well, now it's like, No, no, let's enable you know some thing that you would have thought was heavy lifting and we're daunted to be able to do it. But now hopefully it's easier because a lot of this stuff, you know, he said, This is still a little bit daunting, and you know, you've got a lot of ecosystem and service providers, and service is help us. You take care of, you know, because it's the paradox of choice. With all the options that you >> have on. I think that's the beauty of what I'm in a customer that smart. They managed to find interesting ways to keep challenging us and keep us busy. But I also think that really, really many of them the ones who've been able to be successful. I figured out what it needs to be. Take all the tools to give them which other ones where they want to completely hand it over to AWS and give us the responsibility. And then which ones today really feeling, get they care about and the ones who can find their balance of the ones that we see moving faster. I think that's what we're trying to >> write that one thing that does absolutely permeates virtually every service team I've worked with that AWS. I mean, I've had this experience with you where I talk about how my use case isn't a terrific fit for your product, and your response is always well, what is your use case? It's not. Is starting off on the baseline assumption that my use cases ridiculous, which, let's face it, it probably is. But being able to address a customer need to understand that even if it doesn't dictate, road map is incredibly valuable, and I don't find there are too many players in any space, let alone this one that are willing to have the patience to listen to. Frankly, some loud person wearing a suit. >> Way try. I mean, I think you heard me say this so much like a big junk. 85 90% of a road map. Customer request. I would say that even though remember remaining 10% maybe not think that they're directly asked for but think that you observed their running to or that we run into working with, you know, the one of the customers go ahead of the pack. Okay. They have this problem, Baker. How do you generalize that? And we try and understand what it means. One of the reasons to be made the container road map public was This space is moving so quickly. It's almost impossible for us to talk to enough customers to figure that out. So, like, okay, that gives us an avenue for them to come to us and just tell us and get have >> issues. Yeah, s o right. Final question for both of you directions. Looking forward, you know, the road map we love when there is publicly facing material, not under the NBA's that we normally have to be able to hear. So what are you hearing from your customers? What direction are they pulling you towards and that we should expect tow watch aws kind of a cz we head towards reinvent later this year. Yeah, >> like customers are asking us for different things for developer experience, especially event driven architectures. I think there's gonna be a lot of interesting things happening in the land of space and that entire space >> on to add to that. I think your point earlier helping the simplified choices is going to be a big part of it. Meeting them where they are in their ideas with the cooling is a big part of what you'll see us do. So you know, I think you saw examples today. We'll keep building on top of >> All right. Well, send our congratulations to the two pizza teams that worked on all of the projects that were announced today. Look forward to seeing you. You know, down the road in tracking down. Thanks so much. And welcome to be in Cuba one night having us Deepak, you know, from AWS. He's Cory Quinn on student back with lots more coverage from 80 West Summit here in New York City. Thanks for watching
SUMMARY :
Global Summit 2019 brought to you by Amazon Web service, Cow, Who's the senior manager product marketing Gentlemen, thanks so much for joining us. So, Aaron, what do you kick us off with? A devious resource is in your own applications. I like you said, you that Amazon. extended so that the application you can build will be really exciting. You know the whole thing with building in the cloud. There's a lot of higher level abstractions that build cloud formation for you. There's a lot of products that we're building that you know are complimenting information. So you know, e c s E. So good on you on that one. Uh, you know, acronym, You know, your container service is, One of the reasons you fix something if you are running like snap Just explain what that one is the container world you have service is with the underlying tasks. How do you do? So based on what however you want and I'll analyze it, you can send it to a custom resource. Corey, you know, you're dealing with a lot of customers. It's when you have what 200 Nothing wrong with that. and they talked about in the four years that they've been on, they re architected three times, you know, And I think more and more are going to go higher up the stock using managed databases. so the whole thing is here's a new primitive that you can use. You open up the service listing and you just get this sort of sinking You don't need to select an instance where you just tell us for your requirements are on Batch makes that collection But I love the simplicity because I don't have to sit and think and make all these different decisions. So I think that that's the beauty ofit that you do have that choice. So, you know, what do you hear from customers? terms of customers asking us for ability to, you know, That's like, you know, a lot of the relationships we have our customers listening to what they need this stuff, you know, he said, This is still a little bit daunting, and you know, you've got a lot of I think that's the beauty of what I'm in a customer that smart. I mean, I've had this experience with you where I talk about how my use case isn't a terrific fit for your product, running to or that we run into working with, you know, the one of the customers go ahead of the pack. So what are you hearing from your customers? I think there's gonna be a lot of interesting things happening in the land of space and that entire So you know, I think you saw examples today. you know, from AWS.
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Video Report Exclusive: @theCUBE report from Dell Technologies World 2018
welcome to Las Vegas everybody watching the cube the leader in live tech coverage my name is Dave Boehne on time student Leena man he with my co-host Keith Townsend I'm Lisa Meredith John Sawyer coverage of Dell technologies world 2018 thanks so much for having us here and thanks for joining us on the Q how great to be here thank you guys for all the great coverage you always do a wonderful job [Music] loads of people here 14,000 in attendance 6500 partners analysts press you name it it's here talking about all things transformation we have this incredible platform that's been built over the last thirty years but now there are all these new enabling technologies that are going to take it much further as super powers are coming together the compute is now big enough the data is now volume is enough that we can do things never possible before obviously a very good couple of years since the Dell EMC merger it's really helped us there companies have come together right and and the and the offerings have come together together in a much more integrated fashion one of the most funny shows I mean obviously it's important for us to set our vision but you see things like the bean bags and sitting out there as a therapy job they're working so to be able to take a break and just spend some time breathing with some animals really really good and it didn't really experience the fun in the solutions Expo I'm a car guy so you know and talking about the way that we're taking plastic trash out of ocean and making art with it topped off as a great DX rail customer we have gold control try to beat the AI and TVs for a goal and it's a very cool demos vector right behind me we have our partner lounge we're hosting over 800 one-on-one meetings bdellium see executives or the partner executives so it's a combination of technical training networking executive meetings obviously product launches and announcements that we're bringing to market the opportunity to really cultivate it work globally in our global partner summit so it's a pretty active week the power of all of our capabilities we're powering up the modern data center the magnitude shift and what this portfolio can now do for our customers it's mind-boggling we've been talking for years about data as the rocket fuel of the economy and a business transformation and now we're really talking about data combined with those emerging technologies so things like AI IOT blockchain which are really taking that data and unlocking the business value data is the precious metal ISTE it's the crucial asset the whole world is gonna be wired everything is gonna have sensors outside of data center environments that's where all the data is gonna be produced and that's where decisions are going to be made and be all kinds of data if you've got structured data unstructured data and now it's important that we actually get all the disparate data into a format that can now be executed upon the business strategy really is the IT strategy and for that to happen we really have to bring our IT talent up the stack into where it's really enabling the business and that's usually at that application layer makes it more agile removes cost reduces complexity makes the planet more green we think we've got a long way to go in just building a private cloud making the data center if you like a cloud that's part number one freightin number two extending to the hybrid cloud the benefit of the fact that it is hosted in the cloud means that customers don't have anything to deploy and just like your smartphone you get all of the latest upgrades with no effort at all seamless process to scale quickly when you have new hotels coming online for example from a storage administrator perspective you can focus on much more strategic initiatives you don't have to do the day-to-day management you have to worry about what data sending where you don't to worry about how much of the different media types you've put into that array you just deploy it and it manages itself you can focus on more tasks this is the realest first step of actually trying to be truly autonomous storage it took so much time to do it before that I'd have to run my guys ragged for you know two or three weeks I'm like all right stay up overnight make sure at all companies that means value to customers that's money that they're saving directly there's a portfolio effect where customers look across everything that we're doing you say you know I don't really want to deal with 25 little companies but I wouldn't have a bigger relationship with Dell technologies and of course the dirty secret is is that almost all of the cool new apps are some ugly combination of new and old you don't want to have to have some other interface to go to it just has to be a natural extension of what your day-to-day job is you'll get this dashboard kind of help score across the entire environment then you'll see the red yellow green type markings on what to next the isolation piece of the solution is really where the value comes in you can use that for analysis of that data in that cleanroom to be able to detect early on problems that may be happening in your production environment the alternative one one product for everything we've always chosen not to go that path give them the flexibility to change whether it is nvme drives or any kind of SSD drives GPUs FPGAs the relevance of what we are doing has never been greater if they can sustain a degree of focus that allows them to pay down their debt do the financial engineering and Tom Suites our study I want you to take economics out of your decision about whether you want to go to the cloud or not because we can offer that capacity and capability depends a lot around the customer environment what kind of skill sets do they have are they willing to you know help you know go through some of that do-it-yourself type of process obviously Dell UMC services is there to help them you can't have mission-critical all this consolidations without data protection if they're smart enough to figure out where your backups are you're left with no protection so we really needed to isolate and put off network all that critical data we have built into power max the capabilities to do a direct backup from power max to a data domain and that gets you that second protection copy also on a protection storage it's no longer just about protecting the data but also about compliance and visibility it's about governance of the data it's really about management making it available so those are trends in which I think this this industry is not basically evolved over time in comes the Dell technologies world and you see this amazing dizzying array of new things and you're like wow that sounds great how do I do it right train them enable them package it for them I know the guys offer you where you can go in and so classroom kind of sympathy for today and see it in action before you actually purchase and use it we want them to engage in the hundreds of technical sessions that we have but still come away with I wish I could have gone to some more right and and so we we have all those online and and you know for us this is also big ears we're listening and we're learning we're hearing from our customers no I'm a little maybe a little smaller than some of your others but you still treat me like I'm the head you still listen to me I bring you ideas you say this fits so it's very very exciting to have a partner that does that with you do all of your reference Falls see it for yourself I mean I think quite a number of reference calls if people are in the same boat I was you know I'll scream share with them if they want to see our numbers I'll show them this is the opportunity for all of us embrace whether it's in the cube or through the sessions learn adjust because everybody's modernizing everybody needs to transform this is a great opportunity for them to do that with their skill set in their knowledge in the industry if everything you did work perfectly you're not trying enough stuff you need a change agent need a champion most likely at the senior level that's gonna really ride through this journey first three months didn't make a whole lot of progress I was just yelling like a madman to say Weiss it's not getting done and then you have to go back into I have to hire the right people so let's talk a few thing I made changes to the leadership team need more role models you need to get rid of and totally eliminate the harassment and the bullying and the you know old boys kind of club you got to create places where women in and minorities feel like they can be themselves culture plays a huge huge huge role there's just a wealth of enormously talented people now in our company ultimately creating a shared vision and an inspiring vision for what we want to do in the future you either embrace it okay you either stand on the sidelines or you leave the most creative of people from Leonardo da Vinci to Einstein Ben Franklin but Steve Jobs all love of the humanities and the science they stand at that intersection of sort of liberal arts technology you've got to interview Ashton Kutcher yeah which was quite amazing he's an unbelievable people don't maybe don't know no he's an investor he's kind of a geek Yeah right even though he's engineer my training please know that when you bring together a diverse group of individuals Jules always get to better answer for your customer you do place your bets on dell technology that's the right partner for you it's gonna it's gonna move you and your company Michael's got the right vision of where this is going he's got the right technology to do it and we've got great team members to help you get there simple predictable profitable right right keep it it's really that simple we need a few more thousand salespeople so if you're if you're really talented you know how to sell stuff you know it come come come join us at Dell technologies work where I earn more salespeople the future as Bob Dickinson said today we can cool all right everybody that's it from Dell technologies world I love you guys it's always great to be on the cube you guys do a fabulous job they go for a live tech coverage and it really has been a lot of fun we appreciate you and your team being here the next year we're gonna go party for your 10 year anniversary the cube love it we want to thank you for watching the cube again Lisa Martin with John Turner I'm Stu Mittleman this is Keith Townsend thanks for watching everybody we'll see you next time [Music] [Music]
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Wikibon Presents: Software is Eating the Edge | The Entangling of Big Data and IIoT
>> So as folks make their way over from Javits I'm going to give you the least interesting part of the evening and that's my segment in which I welcome you here, introduce myself, lay out what what we're going to do for the next couple of hours. So first off, thank you very much for coming. As all of you know Wikibon is a part of SiliconANGLE which also includes theCUBE, so if you look around, this is what we have been doing for the past couple of days here in the TheCUBE. We've been inviting some significant thought leaders from over on the show and in incredibly expensive limousines driven them up the street to come on to TheCUBE and spend time with us and talk about some of the things that are happening in the industry today that are especially important. We tore it down, and we're having this party tonight. So we want to thank you very much for coming and look forward to having more conversations with all of you. Now what are we going to talk about? Well Wikibon is the research arm of SiliconANGLE. So we take data that comes out of TheCUBE and other places and we incorporated it into our research. And work very closely with large end users and large technology companies regarding how to make better decisions in this incredibly complex, incredibly important transformative world of digital business. What we're going to talk about tonight, and I've got a couple of my analysts assembled, and we're also going to have a panel, is this notion of software is eating the Edge. Now most of you have probably heard Marc Andreessen, the venture capitalist and developer, original developer of Netscape many years ago, talk about how software's eating the world. Well, if software is truly going to eat the world, it's going to eat at, it's going to take the big chunks, big bites at the Edge. That's where the actual action's going to be. And what we want to talk about specifically is the entangling of the internet or the industrial internet of things and IoT with analytics. So that's what we're going to talk about over the course of the next couple of hours. To do that we're going to, I've already blown the schedule, that's on me. But to do that I'm going to spend a couple minutes talking about what we regard as the essential digital business capabilities which includes analytics and Big Data, and includes IIoT and we'll explain at least in our position why those two things come together the way that they do. But I'm going to ask the august and revered Neil Raden, Wikibon analyst to come on up and talk about harvesting value at the Edge. 'Cause there are some, not now Neil, when we're done, when I'm done. So I'm going to ask Neil to come on up and we'll talk, he's going to talk about harvesting value at the Edge. And then Jim Kobielus will follow up with him, another Wikibon analyst, he'll talk specifically about how we're going to take that combination of analytics and Edge and turn it into the new types of systems and software that are going to sustain this significant transformation that's going on. And then after that, I'm going to ask Neil and Jim to come, going to invite some other folks up and we're going to run a panel to talk about some of these issues and do a real question and answer. So the goal here is before we break for drinks is to create a community feeling within the room. That includes smart people here, smart people in the audience having a conversation ultimately about some of these significant changes so please participate and we look forward to talking about the rest of it. All right, let's get going! What is digital business? One of the nice things about being an analyst is that you can reach back on people who were significantly smarter than you and build your points of view on the shoulders of those giants including Peter Drucker. Many years ago Peter Drucker made the observation that the purpose of business is to create and keep a customer. Not better shareholder value, not anything else. It is about creating and keeping your customer. Now you can argue with that, at the end of the day, if you don't have customers, you don't have a business. Now the observation that we've made, what we've added to that is that we've made the observation that the difference between business and digital business essentially is one thing. That's data. A digital business uses data to differentially create and keep customers. That's the only difference. If you think about the difference between taxi cab companies here in New York City, every cab that I've been in in the last three days has bothered me about Uber. The reason, the difference between Uber and a taxi cab company is data. That's the primary difference. Uber uses data as an asset. And we think this is the fundamental feature of digital business that everybody has to pay attention to. How is a business going to use data as an asset? Is the business using data as an asset? Is a business driving its engagement with customers, the role of its product et cetera using data? And if they are, they are becoming a more digital business. Now when you think about that, what we're really talking about is how are they going to put data to work? How are they going to take their customer data and their operational data and their financial data and any other kind of data and ultimately turn that into superior engagement or improved customer experience or more agile operations or increased automation? Those are the kinds of outcomes that we're talking about. But it is about putting data to work. That's fundamentally what we're trying to do within a digital business. Now that leads to an observation about the crucial strategic business capabilities that every business that aspires to be more digital or to be digital has to put in place. And I want to be clear. When I say strategic capabilities I mean something specific. When you talk about, for example technology architecture or information architecture there is this notion of what capabilities does your business need? Your business needs capabilities to pursue and achieve its mission. And in the digital business these are the capabilities that are now additive to this core question, ultimately of whether or not the company is a digital business. What are the three capabilities? One, you have to capture data. Not just do a good job of it, but better than your competition. You have to capture data better than your competition. In a way that is ultimately less intrusive on your markets and on your customers. That's in many respects, one of the first priorities of the internet of things and people. The idea of using sensors and related technologies to capture more data. Once you capture that data you have to turn it into value. You have to do something with it that creates business value so you can do a better job of engaging your markets and serving your customers. And that essentially is what we regard as the basis of Big Data. Including operations, including financial performance and everything else, but ultimately it's taking the data that's being captured and turning it into value within the business. The last point here is that once you have generated a model, or an insight or some other resource that you can act upon, you then have to act upon it in the real world. We call that systems of agency, the ability to enact based on data. Now I want to spend just a second talking about systems of agency 'cause we think it's an interesting concept and it's something Jim Kobielus is going to talk about a little bit later. When we say systems of agency, what we're saying is increasingly machines are acting on behalf of a brand. Or systems, combinations of machines and people are acting on behalf of the brand. And this whole notion of agency is the idea that ultimately these systems are now acting as the business's agent. They are at the front line of engaging customers. It's an extremely rich proposition that has subtle but crucial implications. For example I was talking to a senior decision maker at a business today and they made a quick observation, they talked about they, on their way here to New York City they had followed a woman who was going through security, opened up her suitcase and took out a bird. And then went through security with the bird. And the reason why I bring this up now is as TSA was trying to figure out how exactly to deal with this, the bird started talking and repeating things that the woman had said and many of those things, in fact, might have put her in jail. Now in this case the bird is not an agent of that woman. You can't put the woman in jail because of what the bird said. But increasingly we have to ask ourselves as we ask machines to do more on our behalf, digital instrumentation and elements to do more on our behalf, it's going to have blow back and an impact on our brand if we don't do it well. I want to draw that forward a little bit because I suggest there's going to be a new lifecycle for data. And the way that we think about it is we have the internet or the Edge which is comprised of things and crucially people, using sensors, whether they be smaller processors in control towers or whether they be phones that are tracking where we go, and this crucial element here is something that we call information transducers. Now a transducer in a traditional sense is something that takes energy from one form to another so that it can perform new types of work. By information transducer I essentially mean it takes information from one form to another so it can perform another type of work. This is a crucial feature of data. One of the beauties of data is that it can be used in multiple places at multiple times and not engender significant net new costs. It's one of the few assets that you can say about that. So the concept of an information transducer's really important because it's the basis for a lot of transformations of data as data flies through organizations. So we end up with the transducers storing data in the form of analytics, machine learning, business operations, other types of things, and then it goes back and it's transduced, back into to the real world as we program the real world and turning into these systems of agency. So that's the new lifecycle. And increasingly, that's how we have to think about data flows. Capturing it, turning it into value and having it act on our behalf in front of markets. That could have enormous implications for how ultimately money is spent over the next few years. So Wikibon does a significant amount of market research in addition to advising our large user customers. And that includes doing studies on cloud, public cloud, but also studies on what's happening within the analytics world. And if you take a look at it, what we basically see happening over the course of the next few years is significant investments in software and also services to get the word out. But we also expect there's going to be a lot of hardware. A significant amount of hardware that's ultimately sold within this space. And that's because of something that we call true private cloud. This concept of ultimately a business increasingly being designed and architected around the idea of data assets means that the reality, the physical realities of how data operates, how much it costs to store it or move it, the issues of latency, the issues of intellectual property protection as well as things like the regulatory regimes that are being put in place to govern how data gets used in between locations. All of those factors are going to drive increased utilization of what we call true private cloud. On premise technologies that provide the cloud experience but act where the data naturally needs to be processed. I'll come a little bit more to that in a second. So we think that it's going to be a relatively balanced market, a lot of stuff is going to end up in the cloud, but as Neil and Jim will talk about, there's going to be an enormous amount of analytics that pulls an enormous amount of data out to the Edge 'cause that's where the action's going to be. Now one of the things I want to also reveal to you is we've done a fair amount of data, we've done a fair amount of research around this question of where or how will data guide decisions about infrastructure? And in particular the Edge is driving these conversations. So here is a piece of research that one of our cohorts at Wikibon did, David Floyer. Taking a look at IoT Edge cost comparisons over a three year period. And it showed on the left hand side, an example where the sensor towers and other types of devices were streaming data back into a central location in a wind farm, stylized wind farm example. Very very expensive. Significant amounts of money end up being consumed, significant resources end up being consumed by the cost of moving the data from one place to another. Now this is even assuming that latency does not become a problem. The second example that we looked at is if we kept more of that data at the Edge and processed at the Edge. And literally it is a 85 plus percent cost reduction to keep more of the data at the Edge. Now that has enormous implications, how we think about big data, how we think about next generation architectures, et cetera. But it's these costs that are going to be so crucial to shaping the decisions that we make over the next two years about where we put hardware, where we put resources, what type of automation is possible, and what types of technology management has to be put in place. Ultimately we think it's going to lead to a structure, an architecture in the infrastructure as well as applications that is informed more by moving cloud to the data than moving the data to the cloud. That's kind of our fundamental proposition is that the norm in the industry has been to think about moving all data up to the cloud because who wants to do IT? It's so much cheaper, look what Amazon can do. Or what AWS can do. All true statements. Very very important in many respects. But most businesses today are starting to rethink that simple proposition and asking themselves do we have to move our business to the cloud, or can we move the cloud to the business? And increasingly what we see happening as we talk to our large customers about this, is that the cloud is being extended out to the Edge, we're moving the cloud and cloud services out to the business. Because of economic reasons, intellectual property control reasons, regulatory reasons, security reasons, any number of other reasons. It's just a more natural way to deal with it. And of course, the most important reason is latency. So with that as a quick backdrop, if I may quickly summarize, we believe fundamentally that the difference today is that businesses are trying to understand how to use data as an asset. And that requires an investment in new sets of technology capabilities that are not cheap, not simple and require significant thought, a lot of planning, lot of change within an IT and business organizations. How we capture data, how we turn it into value, and how we translate that into real world action through software. That's going to lead to a rethinking, ultimately, based on cost and other factors about how we deploy infrastructure. How we use the cloud so that the data guides the activity and not the choice of cloud supplier determines or limits what we can do with our data. And that's going to lead to this notion of true private cloud and elevate the role the Edge plays in analytics and all other architectures. So I hope that was perfectly clear. And now what I want to do is I want to bring up Neil Raden. Yes, now's the time Neil! So let me invite Neil up to spend some time talking about harvesting value at the Edge. Can you see his, all right. Got it. >> Oh boy. Hi everybody. Yeah, this is a really, this is a really big and complicated topic so I decided to just concentrate on something fairly simple, but I know that Peter mentioned customers. And he also had a picture of Peter Drucker. I had the pleasure in 1998 of interviewing Peter and photographing him. Peter Drucker, not this Peter. Because I'd started a magazine called Hired Brains. It was for consultants. And Peter said, Peter said a number of really interesting things to me, but one of them was his definition of a customer was someone who wrote you a check that didn't bounce. He was kind of a wag. He was! So anyway, he had to leave to do a video conference with Jack Welch and so I said to him, how do you charge Jack Welch to spend an hour on a video conference? And he said, you know I have this theory that you should always charge your client enough that it hurts a little bit or they don't take you seriously. Well, I had the chance to talk to Jack's wife, Suzie Welch recently and I told her that story and she said, "Oh he's full of it, Jack never paid "a dime for those conferences!" (laughs) So anyway, all right, so let's talk about this. To me, things about, engineered things like the hardware and network and all these other standards and so forth, we haven't fully developed those yet, but they're coming. As far as I'm concerned, they're not the most interesting thing. The most interesting thing to me in Edge Analytics is what you're going to get out of it, what the result is going to be. Making sense of this data that's coming. And while we're on data, something I've been thinking a lot lately because everybody I've talked to for the last three days just keeps talking to me about data. I have this feeling that data isn't actually quite real. That any data that we deal with is the result of some process that's captured it from something else that's actually real. In other words it's proxy. So it's not exactly perfect. And that's why we've always had these problems about customer A, customer A, customer A, what's their definition? What's the definition of this, that and the other thing? And with sensor data, I really have the feeling, when companies get, not you know, not companies, organizations get instrumented and start dealing with this kind of data what they're going to find is that this is the first time, and I've been involved in analytics, I don't want to date myself, 'cause I know I look young, but the first, I've been dealing with analytics since 1975. And everything we've ever done in analytics has involved pulling data from some other system that was not designed for analytics. But if you think about sensor data, this is data that we're actually going to catch the first time. It's going to be ours! We're not going to get it from some other source. It's going to be the real deal, to the extent that it's the real deal. Now you may say, ya know Neil, a sensor that's sending us information about oil pressure or temperature or something like that, how can you quarrel with that? Well, I can quarrel with it because I don't know if the sensor's doing it right. So we still don't know, even with that data, if it's right, but that's what we have to work with. Now, what does that really mean? Is that we have to be really careful with this data. It's ours, we have to take care of it. We don't get to reload it from source some other day. If we munge it up it's gone forever. So that has, that has very serious implications, but let me, let me roll you back a little bit. The way I look at analytics is it's come in three different eras. And we're entering into the third now. The first era was business intelligence. It was basically built and governed by IT, it was system of record kind of reporting. And as far as I can recall, it probably started around 1988 or at least that's the year that Howard Dresner claims to have invented the term. I'm not sure it's true. And things happened before 1988 that was sort of like BI, but 88 was when they really started coming out, that's when we saw BusinessObjects and Cognos and MicroStrategy and those kinds of things. The second generation just popped out on everybody else. We're all looking around at BI and we were saying why isn't this working? Why are only five people in the organization using this? Why are we not getting value out of this massive license we bought? And along comes companies like Tableau doing data discovery, visualization, data prep and Line of Business people are using this now. But it's still the same kind of data sources. It's moved out a little bit, but it still hasn't really hit the Big Data thing. Now we're in third generation, so we not only had Big Data, which has come and hit us like a tsunami, but we're looking at smart discovery, we're looking at machine learning. We're looking at AI induced analytics workflows. And then all the natural language cousins. You know, natural language processing, natural language, what's? Oh Q, natural language query. Natural language generation. Anybody here know what natural language generation is? Yeah, so what you see now is you do some sort of analysis and that tool comes up and says this chart is about the following and it used the following data, and it's blah blah blah blah blah. I think it's kind of wordy and it's going to refined some, but it's an interesting, it's an interesting thing to do. Now, the problem I see with Edge Analytics and IoT in general is that most of the canonical examples we talk about are pretty thin. I know we talk about autonomous cars, I hope to God we never have them, 'cause I'm a car guy. Fleet Management, I think Qualcomm started Fleet Management in 1988, that is not a new application. Industrial controls. I seem to remember, I seem to remember Honeywell doing industrial controls at least in the 70s and before that I wasn't, I don't want to talk about what I was doing, but I definitely wasn't in this industry. So my feeling is we all need to sit down and think about this and get creative. Because the real value in Edge Analytics or IoT, whatever you want to call it, the real value is going to be figuring out something that's new or different. Creating a brand new business. Changing the way an operation happens in a company, right? And I think there's a lot of smart people out there and I think there's a million apps that we haven't even talked about so, if you as a vendor come to me and tell me how great your product is, please don't talk to me about autonomous cars or Fleet Managing, 'cause I've heard about that, okay? Now, hardware and architecture are really not the most interesting thing. We fell into that trap with data warehousing. We've fallen into that trap with Big Data. We talk about speeds and feeds. Somebody said to me the other day, what's the narrative of this company? This is a technology provider. And I said as far as I can tell, they don't have a narrative they have some products and they compete in a space. And when they go to clients and the clients say, what's the value of your product? They don't have an answer for that. So we don't want to fall into this trap, okay? Because IoT is going to inform you in ways you've never even dreamed about. Unfortunately some of them are going to be really stinky, you know, they're going to be really bad. You're going to lose more of your privacy, it's going to get harder to get, I dunno, mortgage for example, I dunno, maybe it'll be easier, but in any case, it's not going to all be good. So let's really think about what you want to do with this technology to do something that's really valuable. Cost takeout is not the place to justify an IoT project. Because number one, it's very expensive, and number two, it's a waste of the technology because you should be looking at, you know the old numerator denominator thing? You should be looking at the numerators and forget about the denominators because that's not what you do with IoT. And the other thing is you don't want to get over confident. Actually this is good advice about anything, right? But in this case, I love this quote by Derek Sivers He's a pretty funny guy. He said, "If more information was the answer, "then we'd all be billionaires with perfect abs." I'm not sure what's on his wishlist, but you know, I would, those aren't necessarily the two things I would think of, okay. Now, what I said about the data, I want to explain some more. Big Data Analytics, if you look at this graphic, it depicts it perfectly. It's a bunch of different stuff falling into the funnel. All right? It comes from other places, it's not original material. And when it comes in, it's always used as second hand data. Now what does that mean? That means that you have to figure out the semantics of this information and you have to find a way to put it together in a way that's useful to you, okay. That's Big Data. That's where we are. How is that different from IoT data? It's like I said, IoT is original. You can put it together any way you want because no one else has ever done that before. It's yours to construct, okay. You don't even have to transform it into a schema because you're creating the new application. But the most important thing is you have to take care of it 'cause if you lose it, it's gone. It's the original data. It's the same way, in operational systems for a long long time we've always been concerned about backup and security and everything else. You better believe this is a problem. I know a lot of people think about streaming data, that we're going to look at it for a minute, and we're going to throw most of it away. Personally I don't think that's going to happen. I think it's all going to be saved, at least for a while. Now, the governance and security, oh, by the way, I don't know where you're going to find a presentation where somebody uses a newspaper clipping about Vladimir Lenin, but here it is, enjoy yourselves. I believe that when people think about governance and security today they're still thinking along the same grids that we thought about it all along. But this is very very different and again, I'm sorry I keep thrashing this around, but this is treasured data that has to be carefully taken care of. Now when I say governance, my experience has been over the years that governance is something that IT does to make everybody's lives miserable. But that's not what I mean by governance today. It means a comprehensive program to really secure the value of the data as an asset. And you need to think about this differently. Now the other thing is you may not get to think about it differently, because some of the stuff may end up being subject to regulation. And if the regulators start regulating some of this, then that'll take some of the degrees of freedom away from you in how you put this together, but you know, that's the way it works. Now, machine learning, I think I told somebody the other day that claims about machine learning in software products are as common as twisters in trail parks. And a lot of it is not really what I'd call machine learning. But there's a lot of it around. And I think all of the open source machine learning and artificial intelligence that's popped up, it's great because all those math PhDs who work at Home Depot now have something to do when they go home at night and they construct this stuff. But if you're going to have machine learning at the Edge, here's the question, what kind of machine learning would you have at the Edge? As opposed to developing your models back at say, the cloud, when you transmit the data there. The devices at the Edge are not very powerful. And they don't have a lot of memory. So you're only going to be able to do things that have been modeled or constructed somewhere else. But that's okay. Because machine learning algorithm development is actually slow and painful. So you really want the people who know how to do this working with gobs of data creating models and testing them offline. And when you have something that works, you can put it there. Now there's one thing I want to talk about before I finish, and I think I'm almost finished. I wrote a book about 10 years ago about automated decision making and the conclusion that I came up with was that little decisions add up, and that's good. But it also means you don't have to get them all right. But you don't want computers or software making decisions unattended if it involves human life, or frankly any life. Or the environment. So when you think about the applications that you can build using this architecture and this technology, think about the fact that you're not going to be doing air traffic control, you're not going to be monitoring crossing guards at the elementary school. You're going to be doing things that may seem fairly mundane. Managing machinery on the factory floor, I mean that may sound great, but really isn't that interesting. Managing well heads, drilling for oil, well I mean, it's great to the extent that it doesn't cause wells to explode, but they don't usually explode. What it's usually used for is to drive the cost out of preventative maintenance. Not very interesting. So use your heads. Come up with really cool stuff. And any of you who are involved in Edge Analytics, the next time I talk to you I don't want to hear about the same five applications that everybody talks about. Let's hear about some new ones. So, in conclusion, I don't really have anything in conclusion except that Peter mentioned something about limousines bringing people up here. On Monday I was slogging up and down Park Avenue and Madison Avenue with my client and we were visiting all the hedge funds there because we were doing a project with them. And in the miserable weather I looked at him and I said, for godsake Paul, where's the black car? And he said, that was the 90s. (laughs) Thank you. So, Jim, up to you. (audience applauding) This is terrible, go that way, this was terrible coming that way. >> Woo, don't want to trip! And let's move to, there we go. Hi everybody, how ya doing? Thanks Neil, thanks Peter, those were great discussions. So I'm the third leg in this relay race here, talking about of course how software is eating the world. And focusing on the value of Edge Analytics in a lot of real world scenarios. Programming the real world for, to make the world a better place. So I will talk, I'll break it out analytically in terms of the research that Wikibon is doing in the area of the IoT, but specifically how AI intelligence is being embedded really to all material reality potentially at the Edge. But mobile applications and industrial IoT and the smart appliances and self driving vehicles. I will break it out in terms of a reference architecture for understanding what functions are being pushed to the Edge to hardware, to our phones and so forth to drive various scenarios in terms of real world results. So I'll move a pace here. So basically AI software or AI microservices are being infused into Edge hardware as we speak. What we see is more vendors of smart phones and other, real world appliances and things like smart driving, self driving vehicles. What they're doing is they're instrumenting their products with computer vision and natural language processing, environmental awareness based on sensing and actuation and those capabilities and inferences that these devices just do to both provide human support for human users of these devices as well as to enable varying degrees of autonomous operation. So what I'll be talking about is how AI is a foundation for data driven systems of agency of the sort that Peter is talking about. Infusing data driven intelligence into everything or potentially so. As more of this capability, all these algorithms for things like, ya know for doing real time predictions and classifications, anomaly detection and so forth, as this functionality gets diffused widely and becomes more commoditized, you'll see it burned into an ever-wider variety of hardware architecture, neuro synaptic chips, GPUs and so forth. So what I've got here in front of you is a sort of a high level reference architecture that we're building up in our research at Wikibon. So AI, artificial intelligence is a big term, a big paradigm, I'm not going to unpack it completely. Of course we don't have oodles of time so I'm going to take you fairly quickly through the high points. It's a driver for systems of agency. Programming the real world. Transducing digital inputs, the data, to analog real world results. Through the embedding of this capability in the IoT, but pushing more and more of it out to the Edge with points of decision and action in real time. And there are four capabilities that we're seeing in terms of AI enabled, enabling capabilities that are absolutely critical to software being pushed to the Edge are sensing, actuation, inference and Learning. Sensing and actuation like Peter was describing, it's about capturing data from the environment within which a device or users is operating or moving. And then actuation is the fancy term for doing stuff, ya know like industrial IoT, it's obviously machine controlled, but clearly, you know self driving vehicles is steering a vehicle and avoiding crashing and so forth. Inference is the meat and potatoes as it were of AI. Analytics does inferences. It infers from the data, the logic of the application. Predictive logic, correlations, classification, abstractions, differentiation, anomaly detection, recognizing faces and voices. We see that now with Apple and the latest version of the iPhone is embedding face recognition as a core, as the core multifactor authentication technique. Clearly that's a harbinger of what's going to be universal fairly soon which is that depends on AI. That depends on convolutional neural networks, that is some heavy hitting processing power that's necessary and it's processing the data that's coming from your face. So that's critically important. So what we're looking at then is the AI software is taking root in hardware to power continuous agency. Getting stuff done. Powered decision support by human beings who have to take varying degrees of action in various environments. We don't necessarily want to let the car steer itself in all scenarios, we want some degree of override, for lots of good reasons. They want to protect life and limb including their own. And just more data driven automation across the internet of things in the broadest sense. So unpacking this reference framework, what's happening is that AI driven intelligence is powering real time decisioning at the Edge. Real time local sensing from the data that it's capturing there, it's ingesting the data. Some, not all of that data, may be persistent at the Edge. Some, perhaps most of it, will be pushed into the cloud for other processing. When you have these highly complex algorithms that are doing AI deep learning, multilayer, to do a variety of anti-fraud and higher level like narrative, auto-narrative roll-ups from various scenes that are unfolding. A lot of this processing is going to begin to happen in the cloud, but a fair amount of the more narrowly scoped inferences that drive real time decision support at the point of action will be done on the device itself. Contextual actuation, so it's the sensor data that's captured by the device along with other data that may be coming down in real time streams through the cloud will provide the broader contextual envelope of data needed to drive actuation, to drive various models and rules and so forth that are making stuff happen at the point of action, at the Edge. Continuous inference. What it all comes down to is that inference is what's going on inside the chips at the Edge device. And what we're seeing is a growing range of hardware architectures, GPUs, CPUs, FPGAs, ASIC, Neuro synaptic chips of all sorts playing in various combinations that are automating more and more very complex inference scenarios at the Edge. And not just individual devices, swarms of devices, like drones and so forth are essentially an Edge unto themselves. You'll see these tiered hierarchies of Edge swarms that are playing and doing inferences of ever more complex dynamic nature. And much of this will be, this capability, the fundamental capabilities that is powering them all will be burned into the hardware that powers them. And then adaptive learning. Now I use the term learning rather than training here, training is at the core of it. Training means everything in terms of the predictive fitness or the fitness of your AI services for whatever task, predictions, classifications, face recognition that you, you've built them for. But I use the term learning in a broader sense. It's what's make your inferences get better and better, more accurate over time is that you're training them with fresh data in a supervised learning environment. But you can have reinforcement learning if you're doing like say robotics and you don't have ground truth against which to train the data set. You know there's maximize a reward function versus minimize a loss function, you know, the standard approach, the latter for supervised learning. There's also, of course, the issue, or not the issue, the approach of unsupervised learning with cluster analysis critically important in a lot of real world scenarios. So Edge AI Algorithms, clearly, deep learning which is multilayered machine learning models that can do abstractions at higher and higher levels. Face recognition is a high level abstraction. Faces in a social environment is an even higher level of abstraction in terms of groups. Faces over time and bodies and gestures, doing various things in various environments is an even higher level abstraction in terms of narratives that can be rolled up, are being rolled up by deep learning capabilities of great sophistication. Convolutional neural networks for processing images, recurrent neural networks for processing time series. Generative adversarial networks for doing essentially what's called generative applications of all sort, composing music, and a lot of it's being used for auto programming. These are all deep learning. There's a variety of other algorithm approaches I'm not going to bore you with here. Deep learning is essentially the enabler of the five senses of the IoT. Your phone's going to have, has a camera, it has a microphone, it has the ability to of course, has geolocation and navigation capabilities. It's environmentally aware, it's got an accelerometer and so forth embedded therein. The reason that your phone and all of the devices are getting scary sentient is that they have the sensory modalities and the AI, the deep learning that enables them to make environmentally correct decisions in the wider range of scenarios. So machine learning is the foundation of all of this, but there are other, I mean of deep learning, artificial neural networks is the foundation of that. But there are other approaches for machine learning I want to make you aware of because support vector machines and these other established approaches for machine learning are not going away but really what's driving the show now is deep learning, because it's scary effective. And so that's where most of the investment in AI is going into these days for deep learning. AI Edge platforms, tools and frameworks are just coming along like gangbusters. Much development of AI, of deep learning happens in the context of your data lake. This is where you're storing your training data. This is the data that you use to build and test to validate in your models. So we're seeing a deepening stack of Hadoop and there's Kafka, and Spark and so forth that are driving the training (coughs) excuse me, of AI models that are power all these Edge Analytic applications so that that lake will continue to broaden in terms, and deepen in terms of a scope and the range of data sets and the range of modeling, AI modeling supports. Data science is critically important in this scenario because the data scientist, the data science teams, the tools and techniques and flows of data science are the fundamental development paradigm or discipline or capability that's being leveraged to build and to train and to deploy and iterate all this AI that's being pushed to the Edge. So clearly data science is at the center, data scientists of an increasingly specialized nature are necessary to the realization to this value at the Edge. AI frameworks are coming along like you know, a mile a minute. TensorFlow has achieved a, is an open source, most of these are open source, has achieved sort of almost like a defacto standard, status, I'm using the word defacto in air quotes. There's Theano and Keras and xNet and CNTK and a variety of other ones. We're seeing range of AI frameworks come to market, most open source. Most are supported by most of the major tool vendors as well. So at Wikibon we're definitely tracking that, we plan to go deeper in our coverage of that space. And then next best action, powers recommendation engines. I mean next best action decision automation of the sort of thing Neil's covered in a variety of contexts in his career is fundamentally important to Edge Analytics to systems of agency 'cause it's driving the process automation, decision automation, sort of the targeted recommendations that are made at the Edge to individual users as well as to process that automation. That's absolutely necessary for self driving vehicles to do their jobs and industrial IoT. So what we're seeing is more and more recommendation engine or recommender capabilities powered by ML and DL are going to the Edge, are already at the Edge for a variety of applications. Edge AI capabilities, like I said, there's sensing. And sensing at the Edge is becoming ever more rich, mixed reality Edge modalities of all sort are for augmented reality and so forth. We're just seeing a growth in certain, the range of sensory modalities that are enabled or filtered and analyzed through AI that are being pushed to the Edge, into the chip sets. Actuation, that's where robotics comes in. Robotics is coming into all aspects of our lives. And you know, it's brainless without AI, without deep learning and these capabilities. Inference, autonomous edge decisioning. Like I said, it's, a growing range of inferences that are being done at the Edge. And that's where it has to happen 'cause that's the point of decision. Learning, training, much training, most training will continue to be done in the cloud because it's very data intensive. It's a grind to train and optimize an AI algorithm to do its job. It's not something that you necessarily want to do or can do at the Edge at Edge devices so, the models that are built and trained in the cloud are pushed down through a dev ops process down to the Edge and that's the way it will work pretty much in most AI environments, Edge analytics environments. You centralize the modeling, you decentralize the execution of the inference models. The training engines will be in the cloud. Edge AI applications. I'll just run you through sort of a core list of the ones that are coming into, already come into the mainstream at the Edge. Multifactor authentication, clearly the Apple announcement of face recognition is just a harbinger of the fact that that's coming to every device. Computer vision speech recognition, NLP, digital assistance and chat bots powered by natural language processing and understanding, it's all AI powered. And it's becoming very mainstream. Emotion detection, face recognition, you know I could go on and on but these are like the core things that everybody has access to or will by 2020 and they're core devices, mass market devices. Developers, designers and hardware engineers are coming together to pool their expertise to build and train not just the AI, but also the entire package of hardware in UX and the orchestration of real world business scenarios or life scenarios that all this intelligence, the submitted intelligence enables and most, much of what they build in terms of AI will be containerized as micro services through Docker and orchestrated through Kubernetes as full cloud services in an increasingly distributed fabric. That's coming along very rapidly. We can see a fair amount of that already on display at Strata in terms of what the vendors are doing or announcing or who they're working with. The hardware itself, the Edge, you know at the Edge, some data will be persistent, needs to be persistent to drive inference. That's, and you know to drive a variety of different application scenarios that need some degree of historical data related to what that device in question happens to be sensing or has sensed in the immediate past or you know, whatever. The hardware itself is geared towards both sensing and increasingly persistence and Edge driven actuation of real world results. The whole notion of drones and robotics being embedded into everything that we do. That's where that comes in. That has to be powered by low cost, low power commodity chip sets of various sorts. What we see right now in terms of chip sets is it's a GPUs, Nvidia has gone real far and GPUs have come along very fast in terms of power inference engines, you know like the Tesla cars and so forth. But GPUs are in many ways the core hardware sub straight for in inference engines in DL so far. But to become a mass market phenomenon, it's got to get cheaper and lower powered and more commoditized, and so we see a fair number of CPUs being used as the hardware for Edge Analytic applications. Some vendors are fairly big on FPGAs, I believe Microsoft has gone fairly far with FPGAs inside DL strategy. ASIC, I mean, there's neuro synaptic chips like IBM's got one. There's at least a few dozen vendors of neuro synaptic chips on the market so at Wikibon we're going to track that market as it develops. And what we're seeing is a fair number of scenarios where it's a mixed environment where you use one chip set architecture at the inference side of the Edge, and other chip set architectures that are driving the DL as processed in the cloud, playing together within a common architecture. And we see some, a fair number of DL environments where the actual training is done in the cloud on Spark using CPUs and parallelized in memory, but pushing Tensorflow models that might be trained through Spark down to the Edge where the inferences are done in FPGAs and GPUs. Those kinds of mixed hardware scenarios are very, very, likely to be standard going forward in lots of areas. So analytics at the Edge power continuous results is what it's all about. The whole point is really not moving the data, it's putting the inference at the Edge and working from the data that's already captured and persistent there for the duration of whatever action or decision or result needs to be powered from the Edge. Like Neil said cost takeout alone is not worth doing. Cost takeout alone is not the rationale for putting AI at the Edge. It's getting new stuff done, new kinds of things done in an automated consistent, intelligent, contextualized way to make our lives better and more productive. Security and governance are becoming more important. Governance of the models, governance of the data, governance in a dev ops context in terms of version controls over all those DL models that are built, that are trained, that are containerized and deployed. Continuous iteration and improvement of those to help them learn to do, make our lives better and easier. With that said, I'm going to hand it over now. It's five minutes after the hour. We're going to get going with the Influencer Panel so what we'd like to do is I call Peter, and Peter's going to call our influencers. >> All right, am I live yet? Can you hear me? All right so, we've got, let me jump back in control here. We've got, again, the objective here is to have community take on some things. And so what we want to do is I want to invite five other people up, Neil why don't you come on up as well. Start with Neil. You can sit here. On the far right hand side, Judith, Judith Hurwitz. >> Neil: I'm glad I'm on the left side. >> From the Hurwitz Group. >> From the Hurwitz Group. Jennifer Shin who's affiliated with UC Berkeley. Jennifer are you here? >> She's here, Jennifer where are you? >> She was here a second ago. >> Neil: I saw her walk out she may have, >> Peter: All right, she'll be back in a second. >> Here's Jennifer! >> Here's Jennifer! >> Neil: With 8 Path Solutions, right? >> Yep. >> Yeah 8 Path Solutions. >> Just get my mic. >> Take your time Jen. >> Peter: All right, Stephanie McReynolds. Far left. And finally Joe Caserta, Joe come on up. >> Stephie's with Elysian >> And to the left. So what I want to do is I want to start by having everybody just go around introduce yourself quickly. Judith, why don't we start there. >> I'm Judith Hurwitz, I'm president of Hurwitz and Associates. We're an analyst research and fault leadership firm. I'm the co-author of eight books. Most recent is Cognitive Computing and Big Data Analytics. I've been in the market for a couple years now. >> Jennifer. >> Hi, my name's Jennifer Shin. I'm the founder and Chief Data Scientist 8 Path Solutions LLC. We do data science analytics and technology. We're actually about to do a big launch next month, with Box actually. >> We're apparent, are we having a, sorry Jennifer, are we having a problem with Jennifer's microphone? >> Man: Just turn it back on? >> Oh you have to turn it back on. >> It was on, oh sorry, can you hear me now? >> Yes! We can hear you now. >> Okay, I don't know how that turned back off, but okay. >> So you got to redo all that Jen. >> Okay, so my name's Jennifer Shin, I'm founder of 8 Path Solutions LLC, it's a data science analytics and technology company. I founded it about six years ago. So we've been developing some really cool technology that we're going to be launching with Box next month. It's really exciting. And I have, I've been developing a lot of patents and some technology as well as teaching at UC Berkeley as a lecturer in data science. >> You know Jim, you know Neil, Joe, you ready to go? >> Joe: Just broke my microphone. >> Joe's microphone is broken. >> Joe: Now it should be all right. >> Jim: Speak into Neil's. >> Joe: Hello, hello? >> I just feel not worthy in the presence of Joe Caserta. (several laughing) >> That's right, master of mics. If you can hear me, Joe Caserta, so yeah, I've been doing data technology solutions since 1986, almost as old as Neil here, but been doing specifically like BI, data warehousing, business intelligence type of work since 1996. And been doing, wholly dedicated to Big Data solutions and modern data engineering since 2009. Where should I be looking? >> Yeah I don't know where is the camera? >> Yeah, and that's basically it. So my company was formed in 2001, it's called Caserta Concepts. We recently rebranded to only Caserta 'cause what we do is way more than just concepts. So we conceptualize the stuff, we envision what the future brings and we actually build it. And we help clients large and small who are just, want to be leaders in innovation using data specifically to advance their business. >> Peter: And finally Stephanie McReynolds. >> I'm Stephanie McReynolds, I had product marketing as well as corporate marketing for a company called Elysian. And we are a data catalog so we help bring together not only a technical understanding of your data, but we curate that data with human knowledge and use automated intelligence internally within the system to make recommendations about what data to use for decision making. And some of our customers like City of San Diego, a large automotive manufacturer working on self driving cars and General Electric use Elysian to help power their solutions for IoT at the Edge. >> All right so let's jump right into it. And again if you have a question, raise your hand, and we'll do our best to get it to the floor. But what I want to do is I want to get seven questions in front of this group and have you guys discuss, slog, disagree, agree. Let's start here. What is the relationship between Big Data AI and IoT? Now Wikibon's put forward its observation that data's being generated at the Edge, that action is being taken at the Edge and then increasingly the software and other infrastructure architectures need to accommodate the realities of how data is going to work in these very complex systems. That's our perspective. Anybody, Judith, you want to start? >> Yeah, so I think that if you look at AI machine learning, all these different areas, you have to be able to have the data learned. Now when it comes to IoT, I think one of the issues we have to be careful about is not all data will be at the Edge. Not all data needs to be analyzed at the Edge. For example if the light is green and that's good and it's supposed to be green, do you really have to constantly analyze the fact that the light is green? You actually only really want to be able to analyze and take action when there's an anomaly. Well if it goes purple, that's actually a sign that something might explode, so that's where you want to make sure that you have the analytics at the edge. Not for everything, but for the things where there is an anomaly and a change. >> Joe, how about from your perspective? >> For me I think the evolution of data is really becoming, eventually oxygen is just, I mean data's going to be the oxygen we breathe. It used to be very very reactive and there used to be like a latency. You do something, there's a behavior, there's an event, there's a transaction, and then you go record it and then you collect it, and then you can analyze it. And it was very very waterfallish, right? And then eventually we figured out to put it back into the system. Or at least human beings interpret it to try to make the system better and that is really completely turned on it's head, we don't do that anymore. Right now it's very very, it's synchronous, where as we're actually making these transactions, the machines, we don't really need, I mean human beings are involved a bit, but less and less and less. And it's just a reality, it may not be politically correct to say but it's a reality that my phone in my pocket is following my behavior, and it knows without telling a human being what I'm doing. And it can actually help me do things like get to where I want to go faster depending on my preference if I want to save money or save time or visit things along the way. And I think that's all integration of big data, streaming data, artificial intelligence and I think the next thing that we're going to start seeing is the culmination of all of that. I actually, hopefully it'll be published soon, I just wrote an article for Forbes with the term of ARBI and ARBI is the integration of Augmented Reality and Business Intelligence. Where I think essentially we're going to see, you know, hold your phone up to Jim's face and it's going to recognize-- >> Peter: It's going to break. >> And it's going to say exactly you know, what are the key metrics that we want to know about Jim. If he works on my sales force, what's his attainment of goal, what is-- >> Jim: Can it read my mind? >> Potentially based on behavior patterns. >> Now I'm scared. >> I don't think Jim's buying it. >> It will, without a doubt be able to predict what you've done in the past, you may, with some certain level of confidence you may do again in the future, right? And is that mind reading? It's pretty close, right? >> Well, sometimes, I mean, mind reading is in the eye of the individual who wants to know. And if the machine appears to approximate what's going on in the person's head, sometimes you can't tell. So I guess, I guess we could call that the Turing machine test of the paranormal. >> Well, face recognition, micro gesture recognition, I mean facial gestures, people can do it. Maybe not better than a coin toss, but if it can be seen visually and captured and analyzed, conceivably some degree of mind reading can be built in. I can see when somebody's angry looking at me so, that's a possibility. That's kind of a scary possibility in a surveillance society, potentially. >> Neil: Right, absolutely. >> Peter: Stephanie, what do you think? >> Well, I hear a world of it's the bots versus the humans being painted here and I think that, you know at Elysian we have a very strong perspective on this and that is that the greatest impact, or the greatest results is going to be when humans figure out how to collaborate with the machines. And so yes, you want to get to the location more quickly, but the machine as in the bot isn't able to tell you exactly what to do and you're just going to blindly follow it. You need to train that machine, you need to have a partnership with that machine. So, a lot of the power, and I think this goes back to Judith's story is then what is the human decision making that can be augmented with data from the machine, but then the humans are actually training the training side and driving machines in the right direction. I think that's when we get true power out of some of these solutions so it's not just all about the technology. It's not all about the data or the AI, or the IoT, it's about how that empowers human systems to become smarter and more effective and more efficient. And I think we're playing that out in our technology in a certain way and I think organizations that are thinking along those lines with IoT are seeing more benefits immediately from those projects. >> So I think we have a general agreement of what kind of some of the things you talked about, IoT, crucial capturing information, and then having action being taken, AI being crucial to defining and refining the nature of the actions that are being taken Big Data ultimately powering how a lot of that changes. Let's go to the next one. >> So actually I have something to add to that. So I think it makes sense, right, with IoT, why we have Big Data associated with it. If you think about what data is collected by IoT. We're talking about a serial information, right? It's over time, it's going to grow exponentially just by definition, right, so every minute you collect a piece of information that means over time, it's going to keep growing, growing, growing as it accumulates. So that's one of the reasons why the IoT is so strongly associated with Big Data. And also why you need AI to be able to differentiate between one minute versus next minute, right? Trying to find a better way rather than looking at all that information and manually picking out patterns. To have some automated process for being able to filter through that much data that's being collected. >> I want to point out though based on what you just said Jennifer, I want to bring Neil in at this point, that this question of IoT now generating unprecedented levels of data does introduce this idea of the primary source. Historically what we've done within technology, or within IT certainly is we've taken stylized data. There is no such thing as a real world accounting thing. It is a human contrivance. And we stylize data and therefore it's relatively easy to be very precise on it. But when we start, as you noted, when we start measuring things with a tolerance down to thousandths of a millimeter, whatever that is, metric system, now we're still sometimes dealing with errors that we have to attend to. So, the reality is we're not just dealing with stylized data, we're dealing with real data, and it's more, more frequent, but it also has special cases that we have to attend to as in terms of how we use it. What do you think Neil? >> Well, I mean, I agree with that, I think I already said that, right. >> Yes you did, okay let's move on to the next one. >> Well it's a doppelganger, the digital twin doppelganger that's automatically created by your very fact that you're living and interacting and so forth and so on. It's going to accumulate regardless. Now that doppelganger may not be your agent, or might not be the foundation for your agent unless there's some other piece of logic like an interest graph that you build, a human being saying this is my broad set of interests, and so all of my agents out there in the IoT, you all need to be aware that when you make a decision on my behalf as my agent, this is what Jim would do. You know I mean there needs to be that kind of logic somewhere in this fabric to enable true agency. >> All right, so I'm going to start with you. Oh go ahead. >> I have a real short answer to this though. I think that Big Data provides the data and compute platform to make AI possible. For those of us who dipped our toes in the water in the 80s, we got clobbered because we didn't have the, we didn't have the facilities, we didn't have the resources to really do AI, we just kind of played around with it. And I think that the other thing about it is if you combine Big Data and AI and IoT, what you're going to see is people, a lot of the applications we develop now are very inward looking, we look at our organization, we look at our customers. We try to figure out how to sell more shoes to fashionable ladies, right? But with this technology, I think people can really expand what they're thinking about and what they model and come up with applications that are much more external. >> Actually what I would add to that is also it actually introduces being able to use engineering, right? Having engineers interested in the data. Because it's actually technical data that's collected not just say preferences or information about people, but actual measurements that are being collected with IoT. So it's really interesting in the engineering space because it opens up a whole new world for the engineers to actually look at data and to actually combine both that hardware side as well as the data that's being collected from it. >> Well, Neil, you and I have talked about something, 'cause it's not just engineers. We have in the healthcare industry for example, which you know a fair amount about, there's this notion of empirical based management. And the idea that increasingly we have to be driven by data as a way of improving the way that managers do things, the way the managers collect or collaborate and ultimately collectively how they take action. So it's not just engineers, it's supposed to also inform business, what's actually happening in the healthcare world when we start thinking about some of this empirical based management, is it working? What are some of the barriers? >> It's not a function of technology. What happens in medicine and healthcare research is, I guess you can say it borders on fraud. (people chuckling) No, I'm not kidding. I know the New England Journal of Medicine a couple of years ago released a study and said that at least half their articles that they published turned out to be written, ghost written by pharmaceutical companies. (man chuckling) Right, so I think the problem is that when you do a clinical study, the one that really killed me about 10 years ago was the women's health initiative. They spent $700 million gathering this data over 20 years. And when they released it they looked at all the wrong things deliberately, right? So I think that's a systemic-- >> I think you're bringing up a really important point that we haven't brought up yet, and that is is can you use Big Data and machine learning to begin to take the biases out? So if you let the, if you divorce your preconceived notions and your biases from the data and let the data lead you to the logic, you start to, I think get better over time, but it's going to take a while to get there because we do tend to gravitate towards our biases. >> I will share an anecdote. So I had some arm pain, and I had numbness in my thumb and pointer finger and I went to, excruciating pain, went to the hospital. So the doctor examined me, and he said you probably have a pinched nerve, he said, but I'm not exactly sure which nerve it would be, I'll be right back. And I kid you not, he went to a computer and he Googled it. (Neil laughs) And he came back because this little bit of information was something that could easily be looked up, right? Every nerve in your spine is connected to your different fingers so the pointer and the thumb just happens to be your C6, so he came back and said, it's your C6. (Neil mumbles) >> You know an interesting, I mean that's a good example. One of the issues with healthcare data is that the data set is not always shared across the entire research community, so by making Big Data accessible to everyone, you actually start a more rational conversation or debate on well what are the true insights-- >> If that conversation includes what Judith talked about, the actual model that you use to set priorities and make decisions about what's actually important. So it's not just about improving, this is the test. It's not just about improving your understanding of the wrong thing, it's also testing whether it's the right or wrong thing as well. >> That's right, to be able to test that you need to have humans in dialog with one another bringing different biases to the table to work through okay is there truth in this data? >> It's context and it's correlation and you can have a great correlation that's garbage. You know if you don't have the right context. >> Peter: So I want to, hold on Jim, I want to, >> It's exploratory. >> Hold on Jim, I want to take it to the next question 'cause I want to build off of what you talked about Stephanie and that is that this says something about what is the Edge. And our perspective is that the Edge is not just devices. That when we talk about the Edge, we're talking about human beings and the role that human beings are going to play both as sensors or carrying things with them, but also as actuators, actually taking action which is not a simple thing. So what do you guys think? What does the Edge mean to you? Joe, why don't you start? >> Well, I think it could be a combination of the two. And specifically when we talk about healthcare. So I believe in 2017 when we eat we don't know why we're eating, like I think we should absolutely by now be able to know exactly what is my protein level, what is my calcium level, what is my potassium level? And then find the foods to meet that. What have I depleted versus what I should have, and eat very very purposely and not by taste-- >> And it's amazing that red wine is always the answer. >> It is. (people laughing) And tequila, that helps too. >> Jim: You're a precision foodie is what you are. (several chuckle) >> There's no reason why we should not be able to know that right now, right? And when it comes to healthcare is, the biggest problem or challenge with healthcare is no matter how great of a technology you have, you can't, you can't, you can't manage what you can't measure. And you're really not allowed to use a lot of this data so you can't measure it, right? You can't do things very very scientifically right, in the healthcare world and I think regulation in the healthcare world is really burdening advancement in science. >> Peter: Any thoughts Jennifer? >> Yes, I teach statistics for data scientists, right, so you know we talk about a lot of these concepts. I think what makes these questions so difficult is you have to find a balance, right, a middle ground. For instance, in the case of are you being too biased through data, well you could say like we want to look at data only objectively, but then there are certain relationships that your data models might show that aren't actually a causal relationship. For instance, if there's an alien that came from space and saw earth, saw the people, everyone's carrying umbrellas right, and then it started to rain. That alien might think well, it's because they're carrying umbrellas that it's raining. Now we know from real world that that's actually not the way these things work. So if you look only at the data, that's the potential risk. That you'll start making associations or saying something's causal when it's actually not, right? So that's one of the, one of the I think big challenges. I think when it comes to looking also at things like healthcare data, right? Do you collect data about anything and everything? Does it mean that A, we need to collect all that data for the question we're looking at? Or that it's actually the best, more optimal way to be able to get to the answer? Meaning sometimes you can take some shortcuts in terms of what data you collect and still get the right answer and not have maybe that level of specificity that's going to cost you millions extra to be able to get. >> So Jennifer as a data scientist, I want to build upon what you just said. And that is, are we going to start to see methods and models emerge for how we actually solve some of these problems? So for example, we know how to build a system for stylized process like accounting or some elements of accounting. We have methods and models that lead to technology and actions and whatnot all the way down to that that system can be generated. We don't have the same notion to the same degree when we start talking about AI and some of these Big Datas. We have algorithms, we have technology. But are we going to start seeing, as a data scientist, repeatability and learning and how to think the problems through that's going to lead us to a more likely best or at least good result? >> So I think that's a bit of a tough question, right? Because part of it is, it's going to depend on how many of these researchers actually get exposed to real world scenarios, right? Research looks into all these papers, and you come up with all these models, but if it's never tested in a real world scenario, well, I mean we really can't validate that it works, right? So I think it is dependent on how much of this integration there's going to be between the research community and industry and how much investment there is. Funding is going to matter in this case. If there's no funding in the research side, then you'll see a lot of industry folk who feel very confident about their models that, but again on the other side of course, if researchers don't validate those models then you really can't say for sure that it's actually more accurate, or it's more efficient. >> It's the issue of real world testing and experimentation, A B testing, that's standard practice in many operationalized ML and AI implementations in the business world, but real world experimentation in the Edge analytics, what you're actually transducing are touching people's actual lives. Problem there is, like in healthcare and so forth, when you're experimenting with people's lives, somebody's going to die. I mean, in other words, that's a critical, in terms of causal analysis, you've got to tread lightly on doing operationalizing that kind of testing in the IoT when people's lives and health are at stake. >> We still give 'em placebos. So we still test 'em. All right so let's go to the next question. What are the hottest innovations in AI? Stephanie I want to start with you as a company, someone at a company that's got kind of an interesting little thing happening. We start thinking about how do we better catalog data and represent it to a large number of people. What are some of the hottest innovations in AI as you see it? >> I think it's a little counter intuitive about what the hottest innovations are in AI, because we're at a spot in the industry where the most successful companies that are working with AI are actually incorporating them into solutions. So the best AI solutions are actually the products that you don't know there's AI operating underneath. But they're having a significant impact on business decision making or bringing a different type of application to the market and you know, I think there's a lot of investment that's going into AI tooling and tool sets for data scientists or researchers, but the more innovative companies are thinking through how do we really take AI and make it have an impact on business decision making and that means kind of hiding the AI to the business user. Because if you think a bot is making a decision instead of you, you're not going to partner with that bot very easily or very readily. I worked at, way at the start of my career, I worked in CRM when recommendation engines were all the rage online and also in call centers. And the hardest thing was to get a call center agent to actually read the script that the algorithm was presenting to them, that algorithm was 99% correct most of the time, but there was this human resistance to letting a computer tell you what to tell that customer on the other side even if it was more successful in the end. And so I think that the innovation in AI that's really going to push us forward is when humans feel like they can partner with these bots and they don't think of it as a bot, but they think about as assisting their work and getting to a better result-- >> Hence the augmentation point you made earlier. >> Absolutely, absolutely. >> Joe how 'about you? What do you look at? What are you excited about? >> I think the coolest thing at the moment right now is chat bots. Like to be able, like to have voice be able to speak with you in natural language, to do that, I think that's pretty innovative, right? And I do think that eventually, for the average user, not for techies like me, but for the average user, I think keyboards are going to be a thing of the past. I think we're going to communicate with computers through voice and I think this is the very very beginning of that and it's an incredible innovation. >> Neil? >> Well, I think we all have myopia here. We're all thinking about commercial applications. Big, big things are happening with AI in the intelligence community, in military, the defense industry, in all sorts of things. Meteorology. And that's where, well, hopefully not on an every day basis with military, you really see the effect of this. But I was involved in a project a couple of years ago where we were developing AI software to detect artillery pieces in terrain from satellite imagery. I don't have to tell you what country that was. I think you can probably figure that one out right? But there are legions of people in many many companies that are involved in that industry. So if you're talking about the dollars spent on AI, I think the stuff that we do in our industries is probably fairly small. >> Well it reminds me of an application I actually thought was interesting about AI related to that, AI being applied to removing mines from war zones. >> Why not? >> Which is not a bad thing for a whole lot of people. Judith what do you look at? >> So I'm looking at things like being able to have pre-trained data sets in specific solution areas. I think that that's something that's coming. Also the ability to, to really be able to have a machine assist you in selecting the right algorithms based on what your data looks like and the problems you're trying to solve. Some of the things that data scientists still spend a lot of their time on, but can be augmented with some, basically we have to move to levels of abstraction before this becomes truly ubiquitous across many different areas. >> Peter: Jennifer? >> So I'm going to say computer vision. >> Computer vision? >> Computer vision. So computer vision ranges from image recognition to be able to say what content is in the image. Is it a dog, is it a cat, is it a blueberry muffin? Like a sort of popular post out there where it's like a blueberry muffin versus like I think a chihuahua and then it compares the two. And can the AI really actually detect difference, right? So I think that's really where a lot of people who are in this space of being in both the AI space as well as data science are looking to for the new innovations. I think, for instance, cloud vision I think that's what Google still calls it. The vision API we've they've released on beta allows you to actually use an API to send your image and then have it be recognized right, by their API. There's another startup in New York called Clarify that also does a similar thing as well as you know Amazon has their recognition platform as well. So I think in a, from images being able to detect what's in the content as well as from videos, being able to say things like how many people are entering a frame? How many people enter the store? Not having to actually go look at it and count it, but having a computer actually tally that information for you, right? >> There's actually an extra piece to that. So if I have a picture of a stop sign, and I'm an automated car, and is it a picture on the back of a bus of a stop sign, or is it a real stop sign? So that's going to be one of the complications. >> Doesn't matter to a New York City cab driver. How 'about you Jim? >> Probably not. (laughs) >> Hottest thing in AI is General Adversarial Networks, GANT, what's hot about that, well, I'll be very quick, most AI, most deep learning, machine learning is analytical, it's distilling or inferring insights from the data. Generative takes that same algorithmic basis but to build stuff. In other words, to create realistic looking photographs, to compose music, to build CAD CAM models essentially that can be constructed on 3D printers. So GANT, it's a huge research focus all around the world are used for, often increasingly used for natural language generation. In other words it's institutionalizing or having a foundation for nailing the Turing test every single time, building something with machines that looks like it was constructed by a human and doing it over and over again to fool humans. I mean you can imagine the fraud potential. But you can also imagine just the sheer, like it's going to shape the world, GANT. >> All right so I'm going to say one thing, and then we're going to ask if anybody in the audience has an idea. So the thing that I find interesting is traditional programs, or when you tell a machine to do something you don't need incentives. When you tell a human being something, you have to provide incentives. Like how do you get someone to actually read the text. And this whole question of elements within AI that incorporate incentives as a way of trying to guide human behavior is absolutely fascinating to me. Whether it's gamification, or even some things we're thinking about with block chain and bitcoins and related types of stuff. To my mind that's going to have an enormous impact, some good, some bad. Anybody in the audience? I don't want to lose everybody here. What do you think sir? And I'll try to do my best to repeat it. Oh we have a mic. >> So my question's about, Okay, so the question's pretty much about what Stephanie's talking about which is human and loop training right? I come from a computer vision background. That's the problem, we need millions of images trained, we need humans to do that. And that's like you know, the workforce is essentially people that aren't necessarily part of the AI community, they're people that are just able to use that data and analyze the data and label that data. That's something that I think is a big problem everyone in the computer vision industry at least faces. I was wondering-- >> So again, but the problem is that is the difficulty of methodologically bringing together people who understand it and people who, people who have domain expertise people who have algorithm expertise and working together? >> I think the expertise issue comes in healthcare, right? In healthcare you need experts to be labeling your images. With contextual information where essentially augmented reality applications coming in, you have the AR kit and everything coming out, but there is a lack of context based intelligence. And all of that comes through training images, and all of that requires people to do it. And that's kind of like the foundational basis of AI coming forward is not necessarily an algorithm, right? It's how well are datas labeled? Who's doing the labeling and how do we ensure that it happens? >> Great question. So for the panel. So if you think about it, a consultant talks about being on the bench. How much time are they going to have to spend on trying to develop additional business? How much time should we set aside for executives to help train some of the assistants? >> I think that the key is not, to think of the problem a different way is that you would have people manually label data and that's one way to solve the problem. But you can also look at what is the natural workflow of that executive, or that individual? And is there a way to gather that context automatically using AI, right? And if you can do that, it's similar to what we do in our product, we observe how someone is analyzing the data and from those observations we can actually create the metadata that then trains the system in a particular direction. But you have to think about solving the problem differently of finding the workflow that then you can feed into to make this labeling easy without the human really realizing that they're labeling the data. >> Peter: Anybody else? >> I'll just add to what Stephanie said, so in the IoT applications, all those sensory modalities, the computer vision, the speech recognition, all that, that's all potential training data. So it cross checks against all the other models that are processing all the other data coming from that device. So that the natural language process of understanding can be reality checked against the images that the person happens to be commenting upon, or the scene in which they're embedded, so yeah, the data's embedded-- >> I don't think we're, we're not at the stage yet where this is easy. It's going to take time before we do start doing the pre-training of some of these details so that it goes faster, but right now, there're not that many shortcuts. >> Go ahead Joe. >> Sorry so a couple things. So one is like, I was just caught up on your incentivizing programs to be more efficient like humans. You know in Ethereum that has this notion, which is bot chain, has this theory, this concept of gas. Where like as the process becomes more efficient it costs less to actually run, right? It costs less ether, right? So it actually is kind of, the machine is actually incentivized and you don't really know what it's going to cost until the machine processes it, right? So there is like some notion of that there. But as far as like vision, like training the machine for computer vision, I think it's through adoption and crowdsourcing, so as people start using it more they're going to be adding more pictures. Very very organically. And then the machines will be trained and right now is a very small handful doing it, and it's very proactive by the Googles and the Facebooks and all of that. But as we start using it, as they start looking at my images and Jim's and Jen's images, it's going to keep getting smarter and smarter through adoption and through very organic process. >> So Neil, let me ask you a question. Who owns the value that's generated as a consequence of all these people ultimately contributing their insight and intelligence into these systems? >> Well, to a certain extent the people who are contributing the insight own nothing because the systems collect their actions and the things they do and then that data doesn't belong to them, it belongs to whoever collected it or whoever's going to do something with it. But the other thing, getting back to the medical stuff. It's not enough to say that the systems, people will do the right thing, because a lot of them are not motivated to do the right thing. The whole grant thing, the whole oh my god I'm not going to go against the senior professor. A lot of these, I knew a guy who was a doctor at University of Pittsburgh and they were doing a clinical study on the tubes that they put in little kids' ears who have ear infections, right? And-- >> Google it! Who helps out? >> Anyway, I forget the exact thing, but he came out and said that the principle investigator lied when he made the presentation, that it should be this, I forget which way it went. He was fired from his position at Pittsburgh and he has never worked as a doctor again. 'Cause he went against the senior line of authority. He was-- >> Another question back here? >> Man: Yes, Mark Turner has a question. >> Not a question, just want to piggyback what you're saying about the transfixation of maybe in healthcare of black and white images and color images in the case of sonograms and ultrasound and mammograms, you see that happening using AI? You see that being, I mean it's already happening, do you see it moving forward in that kind of way? I mean, talk more about that, about you know, AI and black and white images being used and they can be transfixed, they can be made to color images so you can see things better, doctors can perform better operations. >> So I'm sorry, but could you summarize down? What's the question? Summarize it just, >> I had a lot of students, they're interested in the cross pollenization between AI and say the medical community as far as things like ultrasound and sonograms and mammograms and how you can literally take a black and white image and it can, using algorithms and stuff be made to color images that can help doctors better do the work that they've already been doing, just do it better. You touched on it like 30 seconds. >> So how AI can be used to actually add information in a way that's not necessarily invasive but is ultimately improves how someone might respond to it or use it, yes? Related? I've also got something say about medical images in a second, any of you guys want to, go ahead Jennifer. >> Yeah, so for one thing, you know and it kind of goes back to what we were talking about before. When we look at for instance scans, like at some point I was looking at CT scans, right, for lung cancer nodules. In order for me, who I don't have a medical background, to identify where the nodule is, of course, a doctor actually had to go in and specify which slice of the scan had the nodule and where exactly it is, so it's on both the slice level as well as, within that 2D image, where it's located and the size of it. So the beauty of things like AI is that ultimately right now a radiologist has to look at every slice and actually identify this manually, right? The goal of course would be that one day we wouldn't have to have someone look at every slice to like 300 usually slices and be able to identify it much more automated. And I think the reality is we're not going to get something where it's going to be 100%. And with anything we do in the real world it's always like a 95% chance of it being accurate. So I think it's finding that in between of where, what's the threshold that we want to use to be able to say that this is, definitively say a lung cancer nodule or not. I think the other thing to think about is in terms of how their using other information, what they might use is a for instance, to say like you know, based on other characteristics of the person's health, they might use that as sort of a grading right? So you know, how dark or how light something is, identify maybe in that region, the prevalence of that specific variable. So that's usually how they integrate that information into something that's already existing in the computer vision sense. I think that's, the difficulty with this of course, is being able to identify which variables were introduced into data that does exist. >> So I'll make two quick observations on this then I'll go to the next question. One is radiologists have historically been some of the highest paid physicians within the medical community partly because they don't have to be particularly clinical. They don't have to spend a lot of time with patients. They tend to spend time with doctors which means they can do a lot of work in a little bit of time, and charge a fair amount of money. As we start to introduce some of these technologies that allow us to from a machine standpoint actually make diagnoses based on those images, I find it fascinating that you now see television ads promoting the role that the radiologist plays in clinical medicine. It's kind of an interesting response. >> It's also disruptive as I'm seeing more and more studies showing that deep learning models processing images, ultrasounds and so forth are getting as accurate as many of the best radiologists. >> That's the point! >> Detecting cancer >> Now radiologists are saying oh look, we do this great thing in terms of interacting with the patients, never have because they're being dis-intermediated. The second thing that I'll note is one of my favorite examples of that if I got it right, is looking at the images, the deep space images that come out of Hubble. Where they're taking data from thousands, maybe even millions of images and combining it together in interesting ways you can actually see depth. You can actually move through to a very very small scale a system that's 150, well maybe that, can't be that much, maybe six billion light years away. Fascinating stuff. All right so let me go to the last question here, and then I'm going to close it down, then we can have something to drink. What are the hottest, oh I'm sorry, question? >> Yes, hi, my name's George, I'm with Blue Talon. You asked earlier there the question what's the hottest thing in the Edge and AI, I would say that it's security. It seems to me that before you can empower agency you need to be able to authorize what they can act on, how they can act on, who they can act on. So it seems if you're going to move from very distributed data at the Edge and analytics at the Edge, there has to be security similarly done at the Edge. And I saw (speaking faintly) slides that called out security as a key prerequisite and maybe Judith can comment, but I'm curious how security's going to evolve to meet this analytics at the Edge. >> Well, let me do that and I'll ask Jen to comment. The notion of agency is crucially important, slightly different from security, just so we're clear. And the basic idea here is historically folks have thought about moving data or they thought about moving application function, now we are thinking about moving authority. So as you said. That's not necessarily, that's not really a security question, but this has been a problem that's been in, of concern in a number of different domains. How do we move authority with the resources? And that's really what informs the whole agency process. But with that said, Jim. >> Yeah actually I'll, yeah, thank you for bringing up security so identity is the foundation of security. Strong identity, multifactor, face recognition, biometrics and so forth. Clearly AI, machine learning, deep learning are powering a new era of biometrics and you know it's behavioral metrics and so forth that's organic to people's use of devices and so forth. You know getting to the point that Peter was raising is important, agency! Systems of agency. Your agent, you have to, you as a human being should be vouching in a secure, tamper proof way, your identity should be vouching for the identity of some agent, physical or virtual that does stuff on your behalf. How can that, how should that be managed within this increasingly distributed IoT fabric? Well a lot of that's been worked. It all ran through webs of trust, public key infrastructure, formats and you know SAML for single sign and so forth. It's all about assertion, strong assertions and vouching. I mean there's the whole workflows of things. Back in the ancient days when I was actually a PKI analyst three analyst firms ago, I got deep into all the guts of all those federation agreements, something like that has to be IoT scalable to enable systems agency to be truly fluid. So we can vouch for our agents wherever they happen to be. We're going to keep on having as human beings agents all over creation, we're not even going to be aware of everywhere that our agents are, but our identity-- >> It's not just-- >> Our identity has to follow. >> But it's not just identity, it's also authorization and context. >> Permissioning, of course. >> So I may be the right person to do something yesterday, but I'm not authorized to do it in another context in another application. >> Role based permissioning, yeah. Or persona based. >> That's right. >> I agree. >> And obviously it's going to be interesting to see the role that block chain or its follow on to the technology is going to play here. Okay so let me throw one more questions out. What are the hottest applications of AI at the Edge? We've talked about a number of them, does anybody want to add something that hasn't been talked about? Or do you want to get a beer? (people laughing) Stephanie, you raised your hand first. >> I was going to go, I bring something mundane to the table actually because I think one of the most exciting innovations with IoT and AI are actually simple things like City of San Diego is rolling out 3200 automated street lights that will actually help you find a parking space, reduce the amount of emissions into the atmosphere, so has some environmental change, positive environmental change impact. I mean, it's street lights, it's not like a, it's not medical industry, it doesn't look like a life changing innovation, and yet if we automate streetlights and we manage our energy better, and maybe they can flicker on and off if there's a parking space there for you, that's a significant impact on everyone's life. >> And dramatically suppress the impact of backseat driving! >> (laughs) Exactly. >> Joe what were you saying? >> I was just going to say you know there's already the technology out there where you can put a camera on a drone with machine learning within an artificial intelligence within it, and it can look at buildings and determine whether there's rusty pipes and cracks in cement and leaky roofs and all of those things. And that's all based on artificial intelligence. And I think if you can do that, to be able to look at an x-ray and determine if there's a tumor there is not out of the realm of possibility, right? >> Neil? >> I agree with both of them, that's what I meant about external kind of applications. Instead of figuring out what to sell our customers. Which is most what we hear. I just, I think all of those things are imminently doable. And boy street lights that help you find a parking place, that's brilliant, right? >> Simple! >> It improves your life more than, I dunno. Something I use on the internet recently, but I think it's great! That's, I'd like to see a thousand things like that. >> Peter: Jim? >> Yeah, building on what Stephanie and Neil were saying, it's ambient intelligence built into everything to enable fine grain microclimate awareness of all of us as human beings moving through the world. And enable reading of every microclimate in buildings. In other words, you know you have sensors on your body that are always detecting the heat, the humidity, the level of pollution or whatever in every environment that you're in or that you might be likely to move into fairly soon and either A can help give you guidance in real time about where to avoid, or give that environment guidance about how to adjust itself to your, like the lighting or whatever it might be to your specific requirements. And you know when you have a room like this, full of other human beings, there has to be some negotiated settlement. Some will find it too hot, some will find it too cold or whatever but I think that is fundamental in terms of reshaping the sheer quality of experience of most of our lived habitats on the planet potentially. That's really the Edge analytics application that depends on everybody having, being fully equipped with a personal area network of sensors that's communicating into the cloud. >> Jennifer? >> So I think, what's really interesting about it is being able to utilize the technology we do have, it's a lot cheaper now to have a lot of these ways of measuring that we didn't have before. And whether or not engineers can then leverage what we have as ways to measure things and then of course then you need people like data scientists to build the right model. So you can collect all this data, if you don't build the right model that identifies these patterns then all that data's just collected and it's just made a repository. So without having the models that supports patterns that are actually in the data, you're not going to find a better way of being able to find insights in the data itself. So I think what will be really interesting is to see how existing technology is leveraged, to collect data and then how that's actually modeled as well as to be able to see how technology's going to now develop from where it is now, to being able to either collect things more sensitively or in the case of say for instance if you're dealing with like how people move, whether we can build things that we can then use to measure how we move, right? Like how we move every day and then being able to model that in a way that is actually going to give us better insights in things like healthcare and just maybe even just our behaviors. >> Peter: Judith? >> So, I think we also have to look at it from a peer to peer perspective. So I may be able to get some data from one thing at the Edge, but then all those Edge devices, sensors or whatever, they all have to interact with each other because we don't live, we may, in our business lives, act in silos, but in the real world when you look at things like sensors and devices it's how they react with each other on a peer to peer basis. >> All right, before I invite John up, I want to say, I'll say what my thing is, and it's not the hottest. It's the one I hate the most. I hate AI generated music. (people laughing) Hate it. All right, I want to thank all the panelists, every single person, some great commentary, great observations. I want to thank you very much. I want to thank everybody that joined. John in a second you'll kind of announce who's the big winner. But the one thing I want to do is, is I was listening, I learned a lot from everybody, but I want to call out the one comment that I think we all need to remember, and I'm going to give you the award Stephanie. And that is increasing we have to remember that the best AI is probably AI that we don't even know is working on our behalf. The same flip side of that is all of us have to be very cognizant of the idea that AI is acting on our behalf and we may not know it. So, John why don't you come on up. Who won the, whatever it's called, the raffle? >> You won. >> Thank you! >> How 'about a round of applause for the great panel. (audience applauding) Okay we have a put the business cards in the basket, we're going to have that brought up. We're going to have two raffle gifts, some nice Bose headsets and speaker, Bluetooth speaker. Got to wait for that. I just want to say thank you for coming and for the folks watching, this is our fifth year doing our own event called Big Data NYC which is really an extension of the landscape beyond the Big Data world that's Cloud and AI and IoT and other great things happen and great experts and influencers and analysts here. Thanks for sharing your opinion. Really appreciate you taking the time to come out and share your data and your knowledge, appreciate it. Thank you. Where's the? >> Sam's right in front of you. >> There's the thing, okay. Got to be present to win. We saw some people sneaking out the back door to go to a dinner. >> First prize first. >> Okay first prize is the Bose headset. >> Bluetooth and noise canceling. >> I won't look, Sam you got to hold it down, I can see the cards. >> All right. >> Stephanie you won! (Stephanie laughing) Okay, Sawny Cox, Sawny Allie Cox? (audience applauding) Yay look at that! He's here! The bar's open so help yourself, but we got one more. >> Congratulations. Picture right here. >> Hold that I saw you. Wake up a little bit. Okay, all right. Next one is, my kids love this. This is great, great for the beach, great for everything portable speaker, great gift. >> What is it? >> Portable speaker. >> It is a portable speaker, it's pretty awesome. >> Oh you grabbed mine. >> Oh that's one of our guys. >> (lauging) But who was it? >> Can't be related! Ava, Ava, Ava. Okay Gene Penesko (audience applauding) Hey! He came in! All right look at that, the timing's great. >> Another one? (people laughing) >> Hey thanks everybody, enjoy the night, thank Peter Burris, head of research for SiliconANGLE, Wikibon and he great guests and influencers and friends. And you guys for coming in the community. Thanks for watching and thanks for coming. Enjoy the party and some drinks and that's out, that's it for the influencer panel and analyst discussion. Thank you. (logo music)
SUMMARY :
is that the cloud is being extended out to the Edge, the next time I talk to you I don't want to hear that are made at the Edge to individual users We've got, again, the objective here is to have community From the Hurwitz Group. And finally Joe Caserta, Joe come on up. And to the left. I've been in the market for a couple years now. I'm the founder and Chief Data Scientist We can hear you now. And I have, I've been developing a lot of patents I just feel not worthy in the presence of Joe Caserta. If you can hear me, Joe Caserta, so yeah, I've been doing We recently rebranded to only Caserta 'cause what we do to make recommendations about what data to use the realities of how data is going to work in these to make sure that you have the analytics at the edge. and ARBI is the integration of Augmented Reality And it's going to say exactly you know, And if the machine appears to approximate what's and analyzed, conceivably some degree of mind reading but the machine as in the bot isn't able to tell you kind of some of the things you talked about, IoT, So that's one of the reasons why the IoT of the primary source. Well, I mean, I agree with that, I think I already or might not be the foundation for your agent All right, so I'm going to start with you. a lot of the applications we develop now are very So it's really interesting in the engineering space And the idea that increasingly we have to be driven I know the New England Journal of Medicine So if you let the, if you divorce your preconceived notions So the doctor examined me, and he said you probably have One of the issues with healthcare data is that the data set the actual model that you use to set priorities and you can have a great correlation that's garbage. What does the Edge mean to you? And then find the foods to meet that. And tequila, that helps too. Jim: You're a precision foodie is what you are. in the healthcare world and I think regulation For instance, in the case of are you being too biased We don't have the same notion to the same degree but again on the other side of course, in the Edge analytics, what you're actually transducing What are some of the hottest innovations in AI and that means kind of hiding the AI to the business user. I think keyboards are going to be a thing of the past. I don't have to tell you what country that was. AI being applied to removing mines from war zones. Judith what do you look at? and the problems you're trying to solve. And can the AI really actually detect difference, right? So that's going to be one of the complications. Doesn't matter to a New York City cab driver. (laughs) So GANT, it's a huge research focus all around the world So the thing that I find interesting is traditional people that aren't necessarily part of the AI community, and all of that requires people to do it. So for the panel. of finding the workflow that then you can feed into that the person happens to be commenting upon, It's going to take time before we do start doing and Jim's and Jen's images, it's going to keep getting Who owns the value that's generated as a consequence But the other thing, getting back to the medical stuff. and said that the principle investigator lied and color images in the case of sonograms and ultrasound and say the medical community as far as things in a second, any of you guys want to, go ahead Jennifer. to say like you know, based on other characteristics I find it fascinating that you now see television ads as many of the best radiologists. and then I'm going to close it down, It seems to me that before you can empower agency Well, let me do that and I'll ask Jen to comment. agreements, something like that has to be IoT scalable and context. So I may be the right person to do something yesterday, Or persona based. that block chain or its follow on to the technology into the atmosphere, so has some environmental change, the technology out there where you can put a camera And boy street lights that help you find a parking place, That's, I'd like to see a thousand things like that. that are always detecting the heat, the humidity, patterns that are actually in the data, but in the real world when you look at things and I'm going to give you the award Stephanie. and for the folks watching, We saw some people sneaking out the back door I can see the cards. Stephanie you won! Picture right here. This is great, great for the beach, great for everything All right look at that, the timing's great. that's it for the influencer panel and analyst discussion.
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