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Ganesh Pai, Uptycs | AWS re:Invent 2022


 

(upbeat music) >> Hello, fellow cloud nerds and welcome back to AWS re:Invent here in a beautiful sin city. We are theCUBE. My name is Savannah Peterson, joined by my dear colleague and co-host Paul Gillon. Paul, last segment. >> Good thing too. >> Of our first re:Invent. >> A good thing too 'cause I think you're going to lose your voice after this one. >> We are right on the line. (laughter) You can literally hear it struggling to come out right now. But that doesn't mean that the conversation we're going to have is not just as important as our first or our middle interview. Very excited to have Ganesh from Uptycs with us today. Ganesh, welcome to the show. >> Savannah and Paul, thank you for having me here. >> It's a pleasure. I can tell from your smile and your energy. You're like us, you've been having a great time. How has the show been for you so far? >> Tremendous. Two reasons. One, we've had great parties since Monday night. >> Yes. Love that. >> The turnout has been fantastic. >> You know, honestly you're the first guest to bring up the party side of this. But it is such, and obviously there's a self-indulgence component of that. But beyond the hedonism. It is a big part of the networking in the community. And I love that you had a whiskey tasting. Paul and I will definitely be at the next one that you have. In case folks aren't familiar. Give us the Uptycs pitch. >> So we are a Boston based venture. What we provide is cloud infrastructure security. I know if you raise your hand. >> Hot topic. >> Yeah, hot topic obviously in given where we are. But we have a unique way of providing visibility into workloads from inside the workload. As well as by connecting to the AWS control plane. We cover the entire Gartner acronym soup, they call it as CNAP. Which is cloud native application protection platform. That's what we do. >> Now you provide cloud infrastructure security. I thought the cloud providers did that. >> Cloud providers, they provide elements of it because they can only provide visibility from outside in. And if you were to take AWS as an example they give you only at an account level. If you want to do things at an organization where you might have a thousand accounts. You're left to fend to yourself. If you want to span other cloud service providers at the same time. Then you're left to fend to yourself. That's why technologies like us exist. Who can not only span across accounts but go across cloud and get visibility into your workload. >> Now we know that the leading cause of data loss in the cloud or breaches if you'll call them, is misconfiguration. Is that something that you address as well? >> Yes. If you were to look at the majority of the breaches they're due to two reasons. One, due to arguably what you can call as vulnerabilities, misconfigurations, and compliance related issues. Or the second part, things related to like behavioral nature. Which are due to threats. Which then result in like some kind of data loss. But misconfiguration is a top issue and it's called a cloud security posture management. Where once you scope and assess what's the extent of misconfigurations. Maybe there's a chance that you go quickly remediate it. >> So how do you address that? >> Oh, yeah. >> How does that work? So if you were to look at AWS and if you were to think of it as orchestration plane for your workload and services. They provide a API. And this API allows you to get visibility into what's your configuration looking like. And it also allows you to like figure out on an ongoing basis. If there are any changes to your configurations. And usually when you start with a baseline of configuration and as a passage of time. Is where misconfigurations come into play. By understanding the full stream of how it's been configured and how changes are occurring. You get the chance to like go remediate any kind of misconfigure and hence vulnerabilities from that. >> That was a great question Paul. And I'm sure, I mean people want to do that. 23 billion was invested in cybersecurity in 2021 alone, casual dollar amount. I can imagine cybersecurity is a top priority for all of your customers. Probably most of the people on the show floor. How quickly does that mean your team has to scale and adapt given how smart attacks and various things are getting on the dark side of things? >> Great question. The biggest bigger problem than what we are solving for scale is the shortage of people. There's the shortage of people who actually know. >> I was curious about that. Yeah. >> So a shortage of people who understand how to configure it. Let alone people who can secure it like with technology like ours, right? So if you go in that pecking order of pull. It's people and organizations like us exist. Such that at scale you can identify these changes. And help enable those people to quickly scope and assess what's wrong. And potentially help them remediate before it really goes out of control. (metal clinking) >> This is the so-called XDR part of your business, right? >> Yes. So there are two parts. One is around the notion of auditing and compliance and getting visibility. Like the first question that you asked around misconfiguration. And that's one part what we do from the control plane of the cloud. The second part is more behavioral in nature. It results from having visibility into the actual workload. For example, if there's been a misconfiguration. If it's been exploited. You then want to reduce the type well time to figure out like. What really is happening in case there's something potentially nefarious and malicious activity going on. That's the part where XDR (metal clinking) or CWPP comes into play where it's basically called as detection and response of cloud workload protection. >> And how is, it's a fairly new concept, XDR. How is the market taking to it? How popular is this with the customer? >> XDR is extremely popular. So much so that thanks to Gartner and other top analysts. It's become like a catchall for a whole bunch of things. So it's popularity is incredibly on the rise. However, there are elements of XDR the last two part detection and response. Which are like very crucial. X could stand for whatever it is it's extended version. As applied to cloud there's a bunch of things you can do as applied to like laptops. There's a bunch of things it can do. Where we fit into the equation is. Especially from a AWS or a cloud-centric perspective. If the crown jewels of software are developed on a laptop. And the journey of the software is from the laptop to the cloud. That's the arc that we protect. That's where we provide the visibility. >> Mm. >> Wow, that's impressive. So I imagine you get to see quite a few different trends. Working with different customers across the market. What do you think is coming next? How are you and your brilliant team adapting for an ever-changing space? (nails tapping) >> That's a great question. And this is what we are seeing especially with some of our large barrier customers. There's a notion of what's emerging what's called a security as infrastructure. >> Mm. >> Unlike security traditionally being like an operational spend. There's a notion investing in that. Look, if you're going to be procuring technology from AWS as infrastructure. What else will you do to secure it? And that's the notion that that's really taking off. >> Nice. >> You are an advocate of what you call shift up the shift up approach to security. I haven't heard that term before. What is shift? >> Me either. >> I sure have heard of shift left and shift right? >> Yes. >> But what is shift up? >> Great question. So for us, given the breadth of what's possible. And the scale at which one needs to do things. The traditional approach has been shift left where you try to get into like the developer side of laptops. Which is what we do. But if you were to look at it from the perspective that the scale at which these changes occur. And for you to figure out if there is anything malicious in there. You then need to look across it using observability techniques. Which means that you take a step up and look across the complete spectrum. From where the software is developed to where it's deployed. And that's what we call as shift up security. Taking it up like one level notch and looking at it using a telemetry driven approach. >> Yeah, go for it. >> So telemetry driven. So do you integrate with the observability platforms that your customers are using? >> Yeah, so we've taken a lot of cues and IP from observability techniques. Which are traditionally applied to like numerical approaches to figuring out if things are changing. Because there's a number which tells you. And we've applied that to like state related changes. We use similar approach, but we don't look at numbers. We look at what's changing and then the rate of change. And what's actually changing allows us to figure out if there's something malicious. And the only way you can do it at scale by getting the telemetry and not doing it on the actual workload. >> I'm curious, I'm taking, this is maybe your own thought leadership moment. But I as we adapt to nefarious things. Love your use of the word nefarious. Despite folks investing in cybersecurity. I mean the VCs are obviously funding all these startups. But not, but beyond that it is a, it's a huge priority. Breaches still happen. >> Yes. >> And they still happen all the time. They happen every day, every second. There's probably multiple breaches happen. I'm sure there are multiple breaches happening right now. Do you think we'll get to a point where things are truly secure and these breaches don't continue to happen? >> I'd love to say that (crowd cheering) the short answer is no. >> Right? (laughing) >> And this is where there are two schools of thought. You can always try to figure out is there a lead up? With a high degree of conviction that you can say there's something malicious? The second part is you figure out like once you've been breached. How do you reduce the time by like figuring out your dwell time and like meantime to know. >> Nice. So we have a bit of a challenge. I'm going to put his in the middle of this segment. >> Oh, okay. >> I feel like spicing it up for our last one. >> All right. >> I'm feeling a little zesty. >> All right. >> We've been giving everyone a challenge. This is your 30 seconds of thought leadership. Your hot take on the most important theme for, for you coming out of the show and looking towards 2023. >> For us, the most important thing coming out of the show is that you need to get visibility across your cloud from two perspectives. One is from your workload. Second, in terms of protecting your identity. You need to protect your workload. And you need to protect your identity. And then you need to protect the rest of the services. Right? So identity is probably the next perimeter in conjunction with the workload. And that is the most important theme. And we see it consistent in our customer conversations out here. >> Now when you say identity are you referring to down to the individual user level? >> At a cloud level, when you have both bots as well as humans interacting with cloud and you know bringing up workloads and bringing them down. The potential things which can go wrong due to like automated accounts. You know, going haywire. Is really high. And if some privileges are leaked which are meant only for automation. Get into the hands of people they could do inflict a lot of damage, right? So understanding the implications of IAM in the realm of cloud is extremely important. >> Is this, I thought zero trust was supposed to solve for that. How, where does zero trust fall short? >> So zero trust is a bigger thing. It could be in the context of someone trying to access services from their laptop. To like a, you know email exchange or something internal >> Hm. >> on the internet. In a similar way, when you use AWS as a provider. You've got like a role and then you've got like privileges associated with the role. When your identity is asserted. We need to make sure that it's actually indeed you. >> Mm. >> And there's a bunch of analytics that we do today. Allow us to like get that visibility. >> Talk about the internal culture. I'm going to let you get a little recruiting sound bite. >> Yes. >> Out of this interview. What, how big is the team? What's the vibe like? Where are you all based? >> So we are based in Boston. These days we are globally distributed. We've got R and D centers in Boston. We've got in two places in India. And we've got a distributed workforce across the US. Since pre-pandemic to now we've like increased four X or five X from around 60 employees to 300 plus. And it's a very. >> Nicely done. >> We have a very strong ethos and it's very straightforward. We are very engineering product driven when it comes to innovation. Engineering driven when it comes to productivity. But we are borderline maniacal about customer experience. And that's what resulted in our success today. >> Something that you have in common with AWS. >> I would arguably say so, yes. (laughter) Thank you for identifying that. I didn't think of it that way. But now that you put it, yes. >> Yeah, I think. One of the things that I've loved about the whole show. And I am curious if you felt this way too. So much community first, customer first, behavior here. >> Yeah. >> Has that been your take as well? >> Yes, very much so. And that's reflected in the good fortune of our customer engagement. And if you were to look at our. Where has our growth come from? Despite the prevalent macroeconomic conditions. All our large customers have doubled on us because of the experience we provide. >> Ganesh, it has been absolutely fantastic having you on theCUBE. Thank you so much for joining us today. >> Yes, thank you. And if I may say one last thing? >> Of course you can. >> As, a venture, we've put together a new program. Especially for AWS Re:Invent. And it allows people to experience everything that Uptycs has to offer up to a thousand endpoints for a dollar. It's called as the Uptyc Secret menu. >> Woo. >> Go to Uptycsecretmenu.com and you'd be available to avail that until the end of the year. >> I'm signing up right now. >> I know. I was going to say, I feel like that's the best deal of reinvent. That's fantastic Ganesh. >> Yes. >> Well again, thank you so much. We look forward to our next conversation. Can't wait to see how many employees you have then. As a result of this wonderful recruitment video that we've just. >> We hope to nominally double. Thank you for having me here. (laughter) >> Absolutely. And thank all of you for tuning into our over 100 interviews here at AWS re:Invent. We are in Las Vegas, Nevada. Signing off for the last time with Paul Gillon. I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (upbeat music fading) (upbeat music fading)

Published Date : Dec 2 2022

SUMMARY :

We are theCUBE. 'cause I think you're going to We are right on the line. thank you for having me here. How has the show been for you so far? One, we've had great at the next one that you have. I know if you raise your hand. We cover the entire Gartner Now you provide cloud And if you were to take AWS as an example data loss in the cloud or breaches If you were to look And it also allows you to like Probably most of the for scale is the shortage of people. I was curious about that. So if you go in that of the cloud. How is the market taking to it? is from the laptop to the cloud. How are you and your brilliant team And this is what we are seeing And that's the notion that of what you call And for you to figure out So do you integrate And the only way you can do it I mean the VCs are obviously Do you think we'll get the short answer is no. that you can say there's I'm going to put his in the I feel like spicing for you coming out of And you need to protect your identity. of IAM in the realm of cloud supposed to solve for that. It could be in the context when you use AWS as a provider. of analytics that we do today. I'm going to let you get What, how big is the team? And it's a very. it comes to innovation. Something that you have But now that you put it, yes. And I am curious if you felt this way too. And if you were to look at our. Thank you so much for joining us today. And if I may say one last thing? And it allows people to Go to Uptycsecretmenu.com the best deal of reinvent. how many employees you have then. Thank you for having me here. And thank all of you for tuning

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Oracle Announces MySQL HeatWave on AWS


 

>>Oracle continues to enhance my sequel Heatwave at a very rapid pace. The company is now in its fourth major release since the original announcement in December 2020. 1 of the main criticisms of my sequel, Heatwave, is that it only runs on O. C I. Oracle Cloud Infrastructure and as a lock in to Oracle's Cloud. Oracle recently announced that heat wave is now going to be available in AWS Cloud and it announced its intent to bring my sequel Heatwave to Azure. So my secret heatwave on AWS is a significant TAM expansion move for Oracle because of the momentum AWS Cloud continues to show. And evidently the Heatwave Engineering team has taken the development effort from O. C I. And is bringing that to A W S with a number of enhancements that we're gonna dig into today is senior vice president. My sequel Heatwave at Oracle is back with me on a cube conversation to discuss the latest heatwave news, and we're eager to hear any benchmarks relative to a W S or any others. Nippon has been leading the Heatwave engineering team for over 10 years and there's over 100 and 85 patents and database technology. Welcome back to the show and good to see you. >>Thank you. Very happy to be back. >>Now for those who might not have kept up with the news, uh, to kick things off, give us an overview of my sequel, Heatwave and its evolution. So far, >>so my sequel, Heat Wave, is a fully managed my secret database service offering from Oracle. Traditionally, my secret has been designed and optimised for transaction processing. So customers of my sequel then they had to run analytics or when they had to run machine learning, they would extract the data out of my sequel into some other database for doing. Unlike processing or machine learning processing my sequel, Heat provides all these capabilities built in to a single database service, which is my sequel. He'd fake So customers of my sequel don't need to move the data out with the same database. They can run transaction processing and predicts mixed workloads, machine learning, all with a very, very good performance in very good price performance. Furthermore, one of the design points of heat wave is is a scale out architecture, so the system continues to scale and performed very well, even when customers have very large late assignments. >>So we've seen some interesting moves by Oracle lately. The collaboration with Azure we've we've covered that pretty extensively. What was the impetus here for bringing my sequel Heatwave onto the AWS cloud? What were the drivers that you considered? >>So one of the observations is that a very large percentage of users of my sequel Heatwave, our AWS users who are migrating of Aurora or so already we see that a good percentage of my secret history of customers are migrating from GWS. However, there are some AWS customers who are still not able to migrate the O. C. I to my secret heat wave. And the reason is because of, um, exorbitant cost, which was charges. So in order to migrate the workload from AWS to go see, I digress. Charges are very high fees which becomes prohibitive for the customer or the second example we have seen is that the latency of practising a database which is outside of AWS is very high. So there's a class of customers who would like to get the benefits of my secret heatwave but were unable to do so and with this support of my secret trip inside of AWS, these customers can now get all the grease of the benefits of my secret he trip without having to pay the high fees or without having to suffer with the poorly agency, which is because of the ws architecture. >>Okay, so you're basically meeting the customer's where they are. So was this a straightforward lifted shift from from Oracle Cloud Infrastructure to AWS? >>No, it is not because one of the design girls we have with my sequel, Heatwave is that we want to provide our customers with the best price performance regardless of the cloud. So when we decided to offer my sequel, he headed west. Um, we have optimised my sequel Heatwave on it as well. So one of the things to point out is that this is a service with the data plane control plane and the console are natively running on AWS. And the benefits of doing so is that now we can optimise my sequel Heatwave for the E. W s architecture. In addition to that, we have also announced a bunch of new capabilities as a part of the service which will also be available to the my secret history of customers and our CI, But we just announced them and we're offering them as a part of my secret history of offering on AWS. >>So I just want to make sure I understand that it's not like you just wrapped your stack in a container and stuck it into a W s to be hosted. You're saying you're actually taking advantage of the capabilities of the AWS cloud natively? And I think you've made some other enhancements as well that you're alluding to. Can you maybe, uh, elucidate on those? Sure. >>So for status, um, we have taken the mind sequel Heatwave code and we have optimised for the It was infrastructure with its computer network. And as a result, customers get very good performance and price performance. Uh, with my secret he trade in AWS. That's one performance. Second thing is, we have designed new interactive counsel for the service, which means that customers can now provision there instances with the council. But in addition, they can also manage their schemas. They can. Then court is directly from the council. Autopilot is integrated. The council we have introduced performance monitoring, so a lot of capabilities which we have introduced as a part of the new counsel. The third thing is that we have added a bunch of new security features, uh, expose some of the security features which were part of the My Secret Enterprise edition as a part of the service, which gives customers now a choice of using these features to build more secure applications. And finally, we have extended my secret autopilot for a number of old gpus cases. In the past, my secret autopilot had a lot of capabilities for Benedict, and now we have augmented my secret autopilot to offer capabilities for elderly people. Includes as well. >>But there was something in your press release called Auto thread. Pooling says it provides higher and sustained throughput. High concerns concerns concurrency by determining Apple number of transactions, which should be executed. Uh, what is that all about? The auto thread pool? It seems pretty interesting. How does it affect performance? Can you help us understand that? >>Yes, and this is one of the capabilities of alluding to which we have added in my secret autopilot for transaction processing. So here is the basic idea. If you have a system where there's a large number of old EP transactions coming into it at a high degrees of concurrency in many of the existing systems of my sequel based systems, it can lead to a state where there are few transactions executing, but a bunch of them can get blocked with or a pilot tried pulling. What we basically do is we do workload aware admission control and what this does is it figures out, what's the right scheduling or all of these algorithms, so that either the transactions are executing or as soon as something frees up, they can start executing, so there's no transaction which is blocked. The advantage to the customer of this capability is twofold. A get significantly better throughput compared to service like Aurora at high levels of concurrency. So at high concurrency, for instance, uh, my secret because of this capability Uh oh, thread pulling offers up to 10 times higher compared to Aurora, that's one first benefit better throughput. The second advantage is that the true part of the system never drops, even at high levels of concurrency, whereas in the case of Aurora, the trooper goes up, but then, at high concurrency is, let's say, starting, uh, level of 500 or something. It depends upon the underlying shit they're using the troopers just dropping where it's with my secret heatwave. The truth will never drops. Now, the ramification for the customer is that if the truth is not gonna drop, the user can start off with a small shape, get the performance and be a show that even the workload increases. They will never get a performance, which is worse than what they're getting with lower levels of concurrency. So this let's leads to customers provisioning a shape which is just right for them. And if they need, they can, uh, go with the largest shape. But they don't like, you know, over pay. So those are the two benefits. Better performance and sustain, uh, regardless of the level of concurrency. >>So how do we quantify that? I know you've got some benchmarks. How can you share comparisons with other cloud databases especially interested in in Amazon's own databases are obviously very popular, and and are you publishing those again and get hub, as you have done in the past? Take us through the benchmarks. >>Sure, So benchmarks are important because that gives customers a sense of what performance to expect and what price performance to expect. So we have run a number of benchmarks. And yes, all these benchmarks are available on guitar for customers to take a look at. So we have performance results on all the three castle workloads, ol DB Analytics and Machine Learning. So let's start with the Rdp for Rdp and primarily because of the auto thread pulling feature. We show that for the IPCC for attended dataset at high levels of concurrency, heatwave offers up to 10 times better throughput and this performance is sustained, whereas in the case of Aurora, the performance really drops. So that's the first thing that, uh, tend to alibi. Sorry, 10 gigabytes. B B C c. I can come and see the performance are the throughput is 10 times better than Aurora for analytics. We have done a comparison of my secret heatwave in AWS and compared with Red Ship Snowflake Googled inquiry, we find that the price performance of my secret heatwave compared to read ship is seven times better. So my sequel, Heat Wave in AWS, provides seven times better price performance than red ship. That's a very, uh, interesting results to us. Which means that customers of Red Shift are really going to take the service seriously because they're gonna get seven times better price performance. And this is all running in a W s so compared. >>Okay, carry on. >>And then I was gonna say, compared to like, Snowflake, uh, in AWS offers 10 times better price performance. And compared to Google, ubiquity offers 12 times better price performance. And this is based on a four terabyte p PCH workload. Results are available on guitar, and then the third category is machine learning and for machine learning, uh, for training, the performance of my secret heatwave is 25 times faster compared to that shit. So all the three workloads we have benchmark's results, and all of these scripts are available on YouTube. >>Okay, so you're comparing, uh, my sequel Heatwave on AWS to Red Shift and snowflake on AWS. And you're comparing my sequel Heatwave on a W s too big query. Obviously running on on Google. Um, you know, one of the things Oracle is done in the past when you get the price performance and I've always tried to call fouls you're, like, double your price for running the oracle database. Uh, not Heatwave, but Oracle Database on a W s. And then you'll show how it's it's so much cheaper on on Oracle will be like Okay, come on. But they're not doing that here. You're basically taking my sequel Heatwave on a W s. I presume you're using the same pricing for whatever you see to whatever else you're using. Storage, um, reserved instances. That's apples to apples on A W s. And you have to obviously do some kind of mapping for for Google, for big query. Can you just verify that for me, >>we are being more than fair on two dimensions. The first thing is, when I'm talking about the price performance for analytics, right for, uh, with my secret heat rape, the cost I'm talking about from my secret heat rape is the cost of running transaction processing, analytics and machine learning. So it's a fully loaded cost for the case of my secret heatwave. There has been I'm talking about red ship when I'm talking about Snowflake. I'm just talking about the cost of these databases for running, and it's only it's not, including the source database, which may be more or some other database, right? So that's the first aspect that far, uh, trip. It's the cost for running all three kinds of workloads, whereas for the competition, it's only for running analytics. The second thing is that for these are those services whether it's like shit or snowflakes, That's right. We're talking about one year, fully paid up front cost, right? So that's what most of the customers would pay for. Many of the customers would pay that they will sign a one year contract and pay all the costs ahead of time because they get a discount. So we're using that price and the case of Snowflake. The costs were using is their standard edition of price, not the Enterprise edition price. So yes, uh, more than in this competitive. >>Yeah, I think that's an important point. I saw an analysis by Marx Tamer on Wiki Bond, where he was doing the TCO comparisons. And I mean, if you have to use two separate databases in two separate licences and you have to do et yelling and all the labour associated with that, that that's that's a big deal and you're not even including that aspect in in your comparison. So that's pretty impressive. To what do you attribute that? You know, given that unlike, oh, ci within the AWS cloud, you don't have as much control over the underlying hardware. >>So look hard, but is one aspect. Okay, so there are three things which give us this advantage. The first thing is, uh, we have designed hateful foreign scale out architecture. So we came up with new algorithms we have come up with, like, uh, one of the design points for heat wave is a massively partitioned architecture, which leads to a very high degree of parallelism. So that's a lot of hype. Each were built, So that's the first part. The second thing is that although we don't have control over the hardware, but the second design point for heat wave is that it is optimised for commodity cloud and the commodity infrastructure so we can have another guys, what to say? The computer we get, how much network bandwidth do we get? How much of, like objects to a brand that we get in here? W s. And we have tuned heat for that. That's the second point And the third thing is my secret autopilot, which provides machine learning based automation. So what it does is that has the users workload is running. It learns from it, it improves, uh, various premieres in the system. So the system keeps getting better as you learn more and more questions. And this is the third thing, uh, as a result of which we get a significant edge over the competition. >>Interesting. I mean, look, any I SV can go on any cloud and take advantage of it. And that's, uh I love it. We live in a new world. How about machine learning workloads? What? What did you see there in terms of performance and benchmarks? >>Right. So machine learning. We offer three capabilities training, which is fully automated, running in France and explanations. So one of the things which many of our customers told us coming from the enterprise is that explanations are very important to them because, uh, customers want to know that. Why did the the system, uh, choose a certain prediction? So we offer explanations for all models which have been derailed by. That's the first thing. Now, one of the interesting things about training is that training is usually the most expensive phase of machine learning. So we have spent a lot of time improving the performance of training. So we have a bunch of techniques which we have developed inside of Oracle to improve the training process. For instance, we have, uh, metal and proxy models, which really give us an advantage. We use adaptive sampling. We have, uh, invented in techniques for paralysing the hyper parameter search. So as a result of a lot of this work, our training is about 25 times faster than that ship them health and all the data is, uh, inside the database. All this processing is being done inside the database, so it's much faster. It is inside the database. And I want to point out that there is no additional charge for the history of customers because we're using the same cluster. You're not working in your service. So all of these machine learning capabilities are being offered at no additional charge inside the database and as a performance, which is significantly faster than that, >>are you taking advantage of or is there any, uh, need not need, but any advantage that you can get if two by exploiting things like gravity. John, we've talked about that a little bit in the past. Or trainee. Um, you just mentioned training so custom silicon that AWS is doing, you're taking advantage of that. Do you need to? Can you give us some insight >>there? So there are two things, right? We're always evaluating What are the choices we have from hybrid perspective? Obviously, for us to leverage is right and like all the things you mention about like we have considered them. But there are two things to consider. One is he is a memory system. So he favours a big is the dominant cost. The processor is a person of the cost, but memory is the dominant cost. So what we have evaluated and found is that the current shape which we are using is going to provide our customers with the best price performance. That's the first thing. The second thing is that there are opportunities at times when we can use a specialised processor for vaccinating the world for a bit. But then it becomes a matter of the cost of the customer. Advantage of our current architecture is on the same hardware. Customers are getting very good performance. Very good, energetic performance in a very good machine learning performance. If you will go with the specialised processor, it may. Actually, it's a machine learning, but then it's an additional cost with the customers we need to pay. So we are very sensitive to the customer's request, which is usually to provide very good performance at a very low cost. And we feel is that the current design we have as providing customers very good performance and very good price performance. >>So part of that is architectural. The memory intensive nature of of heat wave. The other is A W s pricing. If AWS pricing were to flip, it might make more sense for you to take advantage of something like like cranium. Okay, great. Thank you. And welcome back to the benchmarks benchmarks. Sometimes they're artificial right there. A car can go from 0 to 60 in two seconds. But I might not be able to experience that level of performance. Do you? Do you have any real world numbers from customers that have used my sequel Heatwave on A W s. And how they look at performance? >>Yes, absolutely so the my Secret service on the AWS. This has been in Vera for, like, since November, right? So we have a lot of customers who have tried the service. And what actually we have found is that many of these customers, um, planning to migrate from Aurora to my secret heat rape. And what they find is that the performance difference is actually much more pronounced than what I was talking about. Because with Aurora, the performance is actually much poorer compared to uh, like what I've talked about. So in some of these cases, the customers found improvement from 60 times, 240 times, right? So he travels 100 for 240 times faster. It was much less expensive. And the third thing, which is you know, a noteworthy is that customers don't need to change their applications. So if you ask the top three reasons why customers are migrating, it's because of this. No change to the application much faster, and it is cheaper. So in some cases, like Johnny Bites, what they found is that the performance of their applications for the complex storeys was about 60 to 90 times faster. Then we had 60 technologies. What they found is that the performance of heat we have compared to Aurora was 100 and 39 times faster. So, yes, we do have many such examples from real workloads from customers who have tried it. And all across what we find is if it offers better performance, lower cost and a single database such that it is compatible with all existing by sequel based applications and workloads. >>Really impressive. The analysts I talked to, they're all gaga over heatwave, and I can see why. Okay, last question. Maybe maybe two and one. Uh, what's next? In terms of new capabilities that customers are going to be able to leverage and any other clouds that you're thinking about? We talked about that upfront, but >>so in terms of the capabilities you have seen, like they have been, you know, non stop attending to the feedback from the customers in reacting to it. And also, we have been in a wedding like organically. So that's something which is gonna continue. So, yes, you can fully expect that people not dressed and continue to in a way and with respect to the other clouds. Yes, we are planning to support my sequel. He tripped on a show, and this is something that will be announced in the near future. Great. >>All right, Thank you. Really appreciate the the overview. Congratulations on the work. Really exciting news that you're moving my sequel Heatwave into other clouds. It's something that we've been expecting for some time. So it's great to see you guys, uh, making that move, and as always, great to have you on the Cube. >>Thank you for the opportunity. >>All right. And thank you for watching this special cube conversation. I'm Dave Volonte, and we'll see you next time.

Published Date : Sep 14 2022

SUMMARY :

The company is now in its fourth major release since the original announcement in December 2020. Very happy to be back. Now for those who might not have kept up with the news, uh, to kick things off, give us an overview of my So customers of my sequel then they had to run analytics or when they had to run machine So we've seen some interesting moves by Oracle lately. So one of the observations is that a very large percentage So was this a straightforward lifted shift from No, it is not because one of the design girls we have with my sequel, So I just want to make sure I understand that it's not like you just wrapped your stack in So for status, um, we have taken the mind sequel Heatwave code and we have optimised Can you help us understand that? So this let's leads to customers provisioning a shape which is So how do we quantify that? So that's the first thing that, So all the three workloads we That's apples to apples on A W s. And you have to obviously do some kind of So that's the first aspect And I mean, if you have to use two So the system keeps getting better as you learn more and What did you see there in terms of performance and benchmarks? So we have a bunch of techniques which we have developed inside of Oracle to improve the training need not need, but any advantage that you can get if two by exploiting We're always evaluating What are the choices we have So part of that is architectural. And the third thing, which is you know, a noteworthy is that In terms of new capabilities that customers are going to be able so in terms of the capabilities you have seen, like they have been, you know, non stop attending So it's great to see you guys, And thank you for watching this special cube conversation.

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Steve Mullaney, Aviatrix | AWS re:Invent 2021


 

(bright music) >> Welcome back to AWS re:Invent. You're watching theCUBE. And we're here with Steve Mullaney, who is the president and CEO of Aviatrix. Steve, I got to tell ya, great to see you man. >> We started the whole pandemic, last show we did was with you guys. >> Steve: Don't say we started, we didn't start it. (steve chuckles) >> Right, we kicked it off (all cross talking) >> It's going to be great. >> Our virtual coverage, that hybrid coverage that we did, how ironic? >> Steve: Yeah, was as the world was shutting down. >> So, great to see you face to face. >> Steve: Great to see you too. >> Wow, so you're two years in? >> Steve: Two and a half years yeah. >> Started, the company was standing start $2 billion valuation, raised a bunch of dough. >> Steve: Yeah. >> That's good, you got to feel good about that. >> We were 38 people, two and a half years ago, we're now 400. We had a couple million in ARR, we're now going to be over a 100 million next year, next calendar year, so significant growth. We just raised $200 million, three months ago at a $2 billion valuation. Now have 550 customers, 54 of them are fortune 500, when I started two and a half years ago, we didn't have any fortune 500s, we had probably about a 100 customers. So, massive growth, big growth (indistinct). >> Awesome, I got to ask you, I love to ask CEO's, entrepreneurs, how did you know when to scale? >> You just know it, when you see it. (indistinct) Yeah, there's no formula, you just know it and what you look for is that point where you say, okay, we've now proven the model and until you do that you minimize things and we actually just went through this. We had 12 sales teams, four months ago, we now have 50. 50, five zero and it's that step function as a company, you don't want to linearly grow 'cause you want to hold until you say, it's happening. And then once you say it's happening, okay, the dogs are eating the dog food, this is good then you flip the other way, and then you say, let's grow as fast as we possibly can and that's kind of the mode we're in right now. >> Okay, You've... >> You just know it when you see it. >> Other piece of that is how fast do you scale? And now you're sort of doing that step function as your going. >> Steve: We are going as fast as we possibly can. >> Wow, that's awesome, congratulations and I know you've got to long way to go. So okay, let's talk about the big trends that you're seeing that Aviatrix has taken advantage of, maybe explain a little bit about what you guys do. >> Yeah. So we are, what I like to call Multi- Cloud Native Networking and Network Security. So, if you think of... >> David: What is multicloud native? You got to explain that. >> I got to to explain that. Here's what's happened, it's happening and what I mean by it's happening is, enterprises at two and a half years ago, this is why I joined Aviatrix, all decided for the first time, we mean it now, we are going into Cloud 'cause before that they were just mouthing it. And they said, "We're going into the Cloud." And oh by the way, I knew two and a half years ago of course it was going to be multicloud, 'cause enterprises run workloads where they run best. That's what they do, it's sometimes it's AWS, sometimes it's ads or sometimes it's Google, it's of course going to be multicloud. And so from an enterprise perspective, they love the DevOps, they love the simplicity, the automation, the infrastructure is code, the Terraform, that Cloud operational model, because this is a business transformation, moving to Cloud is not a technology transformation it's the business. It's the CEO saying we are digitizing we have an existential threat to the survival of our company, I want to grow a market share, I want to be more competitive, we're doing this, stop laying across the tracks technology people, will run you over, we're doing this. And so when they do that as an enterprise, I'm BNY Mellon, I'm United Airlines, you name it, your favorite enterprise. I need the visibility and control from a networking and network security perspective like I used to have on-prem. Now I'm not going to do it in the horrible complex operational model the Cisco 1994 data center, do not bring that crap into my wonderful Cloud, so that ain't happening but, all I get from the Native constructs, I don't get enough of that visibility and control, it's a little bit of a black box, I don't get that. So where do I get the best of the Cloud from an operational model, but yet with the visibility and control that I need, that I used to have on-prem from networking network security, that's Aviatrix. And that's where people find us and so from a networking and network security, so that's why I call it multicloud Native because what we do is, create a layer basically an abstraction layer above all the different Clouds, we create one architecture for networking and network security with advanced services not basic services that run on AWS, Azure, Google, Oracle, Ali Cloud, Top Secret Clouds, GovClouds, you name it. And now the customer has one architecture, which is what enterprises want, I want one network, I want one network security architecture, not AWS Native, Azure Native, Google Native. >> David: Right. >> We leverage those native constructs, abstract it, and then provide a single common architecture with demand services, irrespective of what Cloud you're on. >> Dave, I've been saying this for a couple of years now, that Cloud Native... >> Does that make sense Dave? >> Absolutely. >> That abstraction layer, right? And I said, "The guys who do this, who figure this out are going to make a lot of dough." >> Yeah. >> Snowflakes obviously doing it. >> Yeah. >> You guys are doing it, it's the future. >> Yeah. >> And it's really an obvious construct when you look back at the world of call it Legacy IT for a moment... >> Steve: Yeah. >> Because did we have different networks to hookup different things in a data center? >> No, one network. >> One network of course. I don't care if the physical stack comes from Dell, HP or IBM. >> Steve: That's right, I want an attraction layer above that, yeah. >> Exactly. >> So the other thing that happens is, everybody and you'll understand this from being at Oracle, everybody wants to forget about the network. Network security, it's down in the bowels, it's like plumbing, electricity, it's just, it has to be there but people want to forget about it and so you see Datadog, you see Snowflake, you see HashiCorp going IPO in early December. Guess what? That next layer underneath that, I call it the horsemen of the multicloud infrastructure is networking and network security, that's going to be Aviatrix. >> Well, you guys make some announcements recently in that space, every company is a security company but you're really deep into it. >> Well, that's the interesting thing about it. So I said multicloud Native Networking and Network Security, it's integrated, so guess where network security is going to be done in the Cloud? In the network. >> David: Network. >> Yeah in the network. >> What a strange concept but guess what on-prem it's not, you deflect traffic to this thing called a firewall. Well, why was that? I was at Synoptics, I was at Cisco 'cause we didn't care about network security, so that's why firewall companies existed. >> Dave: Right. >> It should be integrated into the infrastructure. So now in the Cloud, your security posture is way worse than it was on-prem. You're connected to the internet by default so guess what? You want your network to do network security, so we announced two things in security; one, we're now a security competency partner for AWS, they do not give that out lightly. We were networks competency four years ago, we're now network security competency. One of the few that are both, they don't do that, that took us nine months of working with them to get there. And they only do that for the people that really are delivering value. And then what we just announced what we call, 'ThreatIQ with ThreatGuard.' So again, built into the network because we are the network, we understand the traffic, we're the control plane and the data plane, we see all traffic. We integrate into the network, we subscribe to threat databases, public databases, where we see what are the malicious IPS. If we have any traffic anywhere in your overall, and this is multicloud, not just AWS, every single Cloud, if we see that malicious traffic going some into IP guess what? It's probably BIT Mining, Bitcoin, crypto mining, it's probably some sort of data ex filtration. It could be some tour thing that you're connected to, whatever it is, you should not have traffic going. And so we do two things we alert and we show you where that all is and then with ThreatGuard, we actually will do a firewall rule right at that gateway, at that point that it's going out and immediately gone. >> You'll take the action. >> We'll take the action. >> Okay. >> And so every single customer, Dave and David, that we've shown this new capability to, it lights up like a Christmas tree. >> Yeah al bet. Okay, but now you've made some controversial statements... >> Steve: Which time? >> Okay, so you said Cisco, I think VMware... >> Dave: He's writing them down. >> I know but I can back it up. >> I think you said the risk, Cisco, VMware and Arista, they're not even in the Cloud conversation now. Arista, Jayshree Ullal is a business hero of mine, so I don't want to... >> Steve: Yeah, mine too. >> I don't want to interrogate her, she's awesome. >> Steve: Yeah. >> But what do you mean by that? Because can't Cisco come at this from their networking perspective and security and bring that in? What do you mean by they're not in the Cloud conversation? >> They're not in the conversation. >> David: Okay, defend that. >> And the reason is they were about four years ago. So when you're four years ago, you're moving into the Cloud, what's the first thing you do? I'm going to grab my CSR and I'm going to try to jam it in the Cloud. Guess what? The CSR doesn't even know it's in the Cloud, it's looking for ports, right? And so what happens is the operational model is horrendous, so all the Cloud people, it just is like oil and water, so they go, oh, that was horrendous. So no one's doing that, so what happens in the Cloud is they realize the number one thing is the Cloud operational model. I need that simplicity, I have to be a single Terraform provider, infrastructure is code. Where do I put my box with my wires? That's what the on-prem hardware people think. >> David: The selling ports your saying? >> The selling boxes. >> David: Yeah. >> And so they'll say, "Oh, we got us software version of it, it runs as a VM, it has no idea it's in the Cloud." It is not Cloud Native, I call that Cloud naive, they don't understand so then the model doesn't work. And so then they say, "Okay, I'm not going to do that." Then the only other thing they can do, is they look at the Cloud providers themselves and they say, "All right, I'm going to use Native constructs, what do you got?" And what happens basically is the Cloud providers say, "Well, we do everything and anything you'll ever need and networking and network security." And the customers, "Oh my God, it's fantastic." Then they try to use it and what they realize is you get very basic level services, and you get no visibility and control because they're a black box, you don't get to go in. How about troubleshooting, Packet Captures, simple things? How about security controls, performance traffic engineering, performance controls, visibility nothing, right? And so then they go, "Oh shit, I'm an enterprise, I'm not just some DevOps Danny three years ago, who was just spinning up workloads and didn't care about security." No, that was the Cloud three years ago. This is now United, BNY, Nike. This is like elite of elite. So when my VC was here, he said, "It's happening." That's what he meant, it's happening. Meaning enterprises, the dogs are eating the dog food and they need visibility and control, they cannot get it from the Cloud providers. >> It's happening in early days Dave. >> So Steve, we're going to stipulate that you can't jam this stuff into Cloud, but those dinosaurs are real and they're there. Explain how you... >> Steve: Well you called them dinosaurs not me but they're roaming the earth and they're going to run out of food pretty soon. (all laughing) The comet hit the earth. >> Hey, they're going to go down fighting. (all laughing) >> But the dinosaurs didn't all die the day after the comet hit the earth... >> Steve: That's right. >> They took awhile. >> Steve: They took a while. >> So, how are you going to saddle them up? That's the question because you're... >> Steve: It's over there walking dead, I don't need to do anything. >> Is it the captain Kirk to con, let them die. >> Steve: Yeah. >> Because you're in the Cloud, you're multicloud... >> Steve: Yeah. >> That's great, but 80% of my IT still on-prem and I still have Cisco switches. Isn't that just not your market or? >> When IBM and DEC did we have to do anything with IBM and DEC in the 90s, early 90s, when we created BC client server, IP architectures? No, they weren't in the conversation. >> David: Yeah. >> So, we dint compete with them, just like whatever they do on-prem, keep doing it, I wish you the best. >> But you need to integrate with them and play with them. >> Steve: No. >> Not at all? >> No, no we integrate, here is the thing that's going to happen, so to the on-prem people, it's all point of reference. They look at Cloud as off-prem, I'm going to take my operational model on-prem and I'm going to push it into the Cloud. And if I push it into multiple Clouds, they're going to call that multicloud, see we are multicloud. You're pushing your operational model into the Cloud. What's happening is Cloud has won, it won two and a half years ago with every enterprise. It's like a rock in the water. And what's going to happen is that operational model is moving out to the edge, it's moving to the branch, it's moving to the data center and it's moving into edge computing. That's what's happening... >> So outpost, so I put an outpost in my data center... >> Outpost looks like... >> Is that Aviatrix? >> Absolutely, we're going to get dragged with that... >> Dave: Okay, alright. >> Because we're the networking and network security provider, and as the company pushes out, that operational model is going to move out, not the existing on-prem OT, IT branch office then pushing in. And so, what's happening is you're coming at it from the wrong perspective. And this wave is just going to push over and so I'm just following behind this wave of AWS and Azure and Google. >> Here's the thing, you can do this and you don't have a bunch of legacy deductible debt... >> Steve: Yeah. >> So you can be Cloud Native, multicloud native, I think you called it? >> Steve: Yeah, yeah. >> I love it, you're building castles on the sand. >> Steve: Yeah. >> Jerry Chen's thing. >> Steve: Yeah. >> Now, the thing is, today's executives, they're not as naive as Ken Olsen, UNIX as, "Snake oil," who would need a PC, so they're not in denial. >> They're probably not in denial, yeah. >> Right, and so they have some resources, so the problem is they can't move as fast as you can. So, you're going to do really well. >> Steve: Yeah. >> I think they'll eventually get there Steve, but you're going to be, I don't know how many, four or five years ahead, that's a nice lead. >> That's a bet I'll take any day. >> David: Then what you don't think they'll ever get there? >> No, 10 years. (steve laughing) >> Okay, but they're not going out of business. >> No, I didn't say that. >> I know you didn't. >> What they're doing, I wish them all the best. >> Because a lot of their customers move... >> I don't compete with them. >> Yeah. We were out of time. >> Yeah. >> What did you mean by AWS is like Sandals? You mean like cool like Sandals? >> Steve: Oh, no, no, no. I don't want to... >> You mean like the vacation place? >> Have you ever been to Sandals? >> I never done it. What do you mean by that? >> There coming, there coming. Which version of sandals (indistinct)? (people cross talking) >> This is for an enterprise by the way, and look, Sandals is great for a lot of people but if you're a Cloud provider, you have to provide the common set of services for the masses because you need to make money. And oh, by the way, when you go to Sandals, go try it, like get a bottle of wine, they say, "We got red wine or white wine?" "Oh, great, what kind of red wine?" "No, red wine and it's in a box." And they hope that you won't know the difference. The problem is some people in enterprises want Four Seasons, so they want to be able to swipe the card and get a good bottle of wine. And so that's the thing with the Cloud, but the Cloud can't offer up a 200 bottle of wine to everybody. My mom loves box wine, so give her box wine. Where ISBs like us come in, is great but complimentary to the Cloud provider for that person who wants that nice bottle of wine because if AWS had to provide all this level of functionality for everybody, their instant sizes would be too big, >> Too much cost for that. (people cross talking) You're right on. And as long as you can innovate fast and stay ahead of that and keep adding value... >> Well, here's the thing, they're not going to do it for multicloud either though. >> David: I wouldn't trust them to do it with multicloud. >> No. >> David: I wouldn't. >> No enterprise would and I don't think they would ever do it anyway. >> That makes sense. Steve, we've got to go man. You're awesome, love to have you on theCUBE, come back anytime. >> Awesome, thank you. >> All right, keep it right there everybody. You're watching theCUBE, the leader in enterprise tech coverage. (bright music)

Published Date : Dec 2 2021

SUMMARY :

great to see you man. last show we did was with you guys. Steve: Don't say we Steve: Yeah, was as the Started, the company was standing start That's good, you got we didn't have any fortune 500s, and that's kind of the is how fast do you scale? Steve: We are going as So okay, let's talk about the big trends So, if you think of... You got to explain that. It's the CEO saying we are digitizing and then provide a single for a couple of years now, And I said, "The guys who do this, when you look back at the world of call it I don't care if the physical stack I want an attraction and so you see Datadog, you see Snowflake, Well, you guys make Well, that's the you deflect traffic to this and we show you where that all is And so every single Okay, but now you've made some Okay, so you said I think you said the risk, I don't want to interrogate And the reason is they and you get no visibility and control that you can't jam this stuff into Cloud, and they're going to run Hey, they're going to go down fighting. But the dinosaurs didn't all die That's the question because you're... I don't need to do anything. Is it the captain Kirk Because you're in the and I still have Cisco switches. When IBM and DEC did I wish you the best. But you need to integrate with them here is the thing that's going to happen, So outpost, so I put an to get dragged with that... and as the company pushes out, Here's the thing, you can do this building castles on the sand. Now, the thing is, today's executives, so the problem is they can't I don't know how many, No, 10 years. Okay, but they're not What they're doing, I Because a lot of Yeah. I don't want to... do you mean by that? (people cross talking) And so that's the thing with the Cloud, And as long as you can innovate Well, here's the thing, them to do it with multicloud. and I don't think they to have you on theCUBE, the leader in enterprise tech coverage.

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Sandy Carter | AWS Global Public Sector Partner Awards 2021


 

(upbeat music) >> Welcome to the special CUBE presentation of the AWS Global Public Sector Partner Awards Program. I'm here with the leader of the partner program, Sandy Carter, Vice President, AWS, Amazon Web Services @Sandy_Carter on Twitter, prolific on social and great leader. Sandy, great to see you again. And congratulations on this great program we're having here. In fact, thanks for coming out for this keynote. Well, thank you, John, for having me. You guys always talk about the coolest thing. So we had to be part of it. >> Well, one of the things that I've been really loving about this success of public sector we talked to us before is that as we start coming out of the pandemic, is becoming very clear that the cloud has helped a lot of people and your team has done amazing work, just want to give you props for that and say, congratulations, and what a great time to talk about the winners. Because everyone's been working really hard in public sector, because of the pandemic. The internet didn't break. And everyone stepped up with cloud scale and solve some problems. So take us through the award winners and talk about them. Give us an overview of what it is. The criteria and all the specifics. >> Yeah, you got it. So we've been doing this annually, and it's for our public sector partners overall, to really recognize the very best of the best. Now, we love all of our partners, John, as you know, but every year we'd like to really hone in on a couple who really leverage their skills and their ability to deliver a great customer solution. They demonstrate those Amazon leadership principles like working backwards from the customer, having a bias for action, they've engaged with AWS and very unique ways. And as well, they've contributed to our customer success, which is so very important to us and to our customers as well. >> That's awesome. Hey, can we put up a slide, I know we have slide on the winners, I want to look at them, with the tiles here. So here's a list of some of the winners. I see a nice little stars on there. Look at the gold star. I knows IronNet, CrowdStrike. That's General Keith Alexander's company, I mean, super relevant. Presidio, we've interviewed them before many times, got Palantir in there. And is there another one, I want to take a look at some of the other names here. >> In overall we had 21 categories. You know, we have over 1900 public sector partners today. So you'll notice that the awards we did, a big focus on mission. So things like government, education, health care, we spotlighted some of the brand new technologies like Containers, Artificial Intelligence, Amazon Connect. And we also this year added in awards for innovative use of our programs, like think big for small business and PTP as well. >> Yeah, well, great roundup, they're looking forward to hearing more about those companies. I have to ask you, because this always comes up, we're seeing more and more ecosystem discussions when we talk about the future of cloud. And obviously, we're going to, you know, be at Mobile World Congress, theCUBE, back in physical form, again, (indistinct) will continue to go on. The notion of ecosystem is becoming a key competitive advantage for companies and missions. So I have to ask you, why are partners so important to your public sector team? Talk about the importance of partners in context to your mission? >> Yeah, you know, our partners are critical. We drive most of our business and public sector through partners. They have great relationships, they've got great skills, and they have, you know, that really unique ability to meet the customer needs. If I just highlighted a couple of things, even using some of our partners who won awards, the first is, you know, migrations are so critical. Andy talked at Reinvent about still 96% of applications still sitting on premises. So anybody who can help us with the velocity of migrations is really critical. And I don't know if you knew John, but 80% of our migrations are led by partners. So for example, we gave awards to Collibra and Databricks as best lead migration for data as well as Datacom for best data lead migration as well. And that's because they increase the velocity of migrations, which increases customer satisfaction. They also bring great subject matter expertise, in particular around that mission that you're talking about. So for instance, GDIT won best Mission Solution For Federal, and they had just an amazing solution that was a secure virtual desktop that reduced a federal agencies deployment process, from months to days. And then finally, you know, our partners drive new opportunities and innovate on behalf of our customers. So we did award this year for P to P, Partnering to Partner which is a really big element of ecosystems, but it was won by four points and in quizon, and they were able to work together to implement a data, implement a data lake and an AI, ML solution, and then you just did the startup showcase, we have a best startup delivering innovation too, and that was EduTech (indistinct) Central America. And they won for implementing an amazing student registration and early warning system to alert and risks that may impact a student's educational achievement. So those are just some of the reasons why partners are important. I could go on and on. As you know, I'm so passionate about my partners, >> I know you're going to talk for an hour, we have to cut you off a little there. (indistinct) love your partners so much. You have to focus on this mission thing. It was a strong mission focus in the awards this year. Why are customers requiring much more of a mission focused? Is it because, is it a part of the criteria? I mean, we're seeing a mission being big. Why is that the case? >> Well, you know, IDC, said that IT spend for a mission or something with a purpose or line of business was five times greater than IT. We also recently did our CTO study where we surveyed thousands of CTOs. And the biggest and most changing elements today is really not around the technology. But it's around the industry, healthcare, space that we talked about earlier, or government. So those are really important. So for instance, New Reburial, they won Best Emission for Healthcare. And they did that because of their new smart diagnostic system. And then we had a partner when PA consulting for Best Amazon Connect solution around a mission for providing support for those most at risk, the elderly population, those who already had pre existing conditions, and really making sure they were doing what they called risk shielding during COVID. Really exciting and big, strong focus on mission. >> Yeah, and it's also, you know, we've been covering a lot on this, people want to work for a company that has purpose, and that has missions. I think that's going to be part of the table stakes going forward. I got to ask you on the secrets of success when this came up, I love asking this question, because, you know, we're starting to see the playbooks of what I call post COVID and cloud scale 2.0, whatever you want to call it, as you're starting to see this new modern era of success formulas, obviously, large scale value creation mission. These are points we're hearing and keep conversations across the board. What do you see as the secret of success for these parties? I mean, obviously, it's indirect for Amazon, I get that, but they're also have their customers, they're your customers, customers. That's been around for a while. But there's a new model emerging. What are the secrets from your standpoint of success? you know, it's so interesting, John, that you asked me this, because this is the number one question that I get from partners too. I would say the first secret is being able to work backwards from your customer, not just technology. So take one of our award winners Cognizant. They won for their digital tolling solution. And they work backwards from the customer and how to modernize that, or Pariveda, who is one of our best energy solution winners. And again, they looked at some of these major capital projects that oil companies were doing, working backwards from what the customer needed. I think that's number one, working backwards from the customer. Two, is having that mission expertise. So given that you have to have technology, but you also got to have that expertise in the area. We see that as a big secret of our public sector partners. So education cloud, (indistinct) one for education, effectual one for government and not for profit, Accenture won, really leveraging and showcasing their global expansion around public safety and disaster response. Very important as well. And then I would say the last secret of success is building repeatable solutions using those strong skills. So Deloitte, they have a great solution for migration, including mainframes. And then you mentioned early on, CloudStrike and IronNet, just think about the skill sets that they have there for repeatable solutions around security. So I think it's really around working backwards from the customer, having that mission expertise, and then building a repeatable solution, leveraging your skill sets. >> That's a great formula for success. I got you mentioned IronNet, and cybersecurity. One of things that's coming up is, in addition to having those best practices, there's also like real problems to solve, like, ransomware is now becoming a government and commercial problem, right. So (indistinct) seeing that happen a lot in DC, that's a front burner. That's a societal impact issue. That's like a cybersecurity kind of national security defense issue, but also, it's a technical one. And also public sector, through my interviews, I can tell you the past year and a half, there's been a lot of creativity of new solutions, new problems or new opportunities that are not yet identified as problems and I'd love to get your thoughts on my concern is with Jeff Bar yesterday from AWS, who's been blogging all the the news and he is a leader in the community. He was saying that he sees like 5G in the edge as new opportunities where it's creative. It's like he compared to the going to the home improvement store where he just goes to buy one thing. He does other things. And so there's a builder culture. And I think this is something that's coming out of your group more, because the pandemic forced these problems, and they forced new opportunities to be creative, and to build. What's your thoughts? >> Yeah, so I see that too. So if you think about builders, you know, we had a partner, Executive Council yesterday, we had 900, executives sign up from all of our partners. And we asked some survey questions like, what are you building with today? And the number one thing was artificial intelligence and machine learning. And I think that's such a new builders tool today, John, and, you know, one of our partners who won an award for the most innovative AI&ML was Kablamo And what they did was they use AI&ML to do a risk assessment on bushfires or wildfires in Australia. But I think it goes beyond that. I think it's building for that need. And this goes back to, we always talk about #techforgood. Presidio, I love this award that they won for best nonprofit, the Cherokee Nation, which is one of our, you know, Native American heritage, they were worried about their language going out, like completely out like no one being able to speak yet. And so they came to Presidio, and they asked how could we have a virtual classroom platform for the Cherokee Nation? And they created this game that's available on your phone, so innovative, so much of a builder's culture to capture that young generation, so they don't you lose their language. So I do agree. I mean, we're seeing builders everywhere, we're seeing them use artificial intelligence, Container, security. And we're even starting with quantum, so it is pretty powerful of what you can do as a public sector partner. >> I think the partner equation is just so wide open, because it's always been based on value, adding value, right? So adding value is just what they do. And by the way, you make money doing it if you do a good job of adding value. And, again, I just love riffing on this, because Dave and I talked about this on theCUBE all the time, and it comes up all the time in cloud conversations. The lock in isn't proprietary technology anymore, its value, and scale. So you starting to see builders thrive in that environment. So really good points. Great best practice. And I think I'm very bullish on the partner ecosystems in general, and people do it right, flat upside. I got to ask you, though, going forward, because this is the big post COVID kind of conversation. And last time we talked on theCUBE about this, you know, people want to have a growth strategy coming out of COVID. They want to be, they want to have a tail win, they want to be on the right side of history. No one wants to be in the losing end of all this. So last year in 2021 your goals were very clear, mission, migrations, modernization. What's the focus for the partners beyond 2021? What are you guys thinking to enable them, 21 is going to be a nice on ramp to this post COVID growth strategy? What's the focus beyond 2021 for you and your partners? >> Yeah, it's really interesting, we're going to actually continue to focus on those three M's mission, migration and modernization. But we'll bring in different elements of it. So for example, on mission, we see a couple of new areas that are really rising to the top, Smart Cities now that everybody's going back to work and (indistinct) down, operations and maintenance and global defense and using gaming and simulation. I mean, think about that digital twin strategy and how you're doing that. For migration, one of the big ones we see emerging today is data-lead migration. You know, we have been focused on applications and mainframes, but data has gravity. And so we are seeing so many partners and our customers demanding to get their data from on premises to the cloud so that now they can make real time business decisions. And then on modernization. You know, we talked a lot about artificial intelligence and machine learning. Containers are wicked hot right now, provides you portability and performance. I was with a startup last night that just moved everything they're doing to ECS our Container strategy. And then we're also seeing, you know, crippin, quantum blockchain, no code, low code. So the same big focus, mission migration, modernization, but the underpinnings are going to shift a little bit beyond 2021. >> That's great stuff. And you know, you have first of all people don't might not know that your group partners and Amazon Web Services public sector, has a big surface area. You talking about government, health care, space. So I have to ask you, you guys announced in March the space accelerator and you recently announced that you selected 10 companies to participate in the accelerated program. So, I mean, this is this is a space centric, you know, targeting, you know, low earth orbiting satellites to exploring the surface of the Moon and Mars, which people love. And because the space is cool, let's say the tech and space, they kind of go together, right? So take us through, what's this all about? How's that going? What's the selection, give us a quick update, while you're here on this space accelerated selection, because (indistinct) will have had a big blog post that went out (indistinct). >> Yeah, I would be thrilled to do that. So I don't know if you know this. But when I was young, I wanted to be an astronaut. We just helped through (indistinct), one of our partners reach Mars. So Clint, who is a retired general and myself got together, and we decided we needed to do something to help startups accelerate in their space mission. And so we decided to announce a competition for 10 startups to get extra help both from us, as well as a partner Sarafem on space. And so we announced it, everybody expected the companies to come from the US, John, they came from 44 different countries. We had hundreds of startups enter, and we took them through this six week, classroom education. So we had our General Clint, you know, helping and teaching them in space, which he's done his whole life, we provided them with AWS credits, they had mentoring by our partner, Sarafem. And we just down selected to 10 startups, that was what Vernors blog post was. If you haven't read it, you should look at some of the amazing things that they're going to do, from, you know, farming asteroids to, you know, helping with some of the, you know, using small vehicles to connect to larger vehicles, when we all get to space. It's very exciting. Very exciting, indeed, >> You have so much good content areas and partners, exploring, it's a very wide vertical or sector that you're managing. Is there any pattern? Well, I want to get your thoughts on post COVID success again, is there any patterns that you're seeing in terms of the partner ecosystem? You know, whether its business model, or team makeup, or more mindset, or just how they're organizing that that's been successful? Is there like a, do you see a trend? Is there a certain thing, then I've got the working backwards thing, I get that. But like, is there any other observations? Because I think people really want to know, am I doing it right? Am I being a good manager, when you know, people are going to be working remotely more? We're seeing more of that. And there's going to be now virtual events, hybrid events, physical events, the world's coming back to normal, but it's never going to be the same. Do you see any patterns? >> Yeah, you know, we're seeing a lot of small partners that are making an entrance and solving some really difficult problems. And because they're so focused on a niche, it's really having an impact. So I really believe that that's going to be one of the things that we see, I focus on individual creators and companies who are really tightly aligned and not trying to do everything, if you will. I think that's one of the big trends. I think the second we talked about it a little bit, John, I think you're going to see a lot of focus on mission. Because of that purpose. You know, we've talked about #techforgood, with everything going on in the world. As people have been working from home, they've been reevaluating who they are, and what do they stand for, and people want to work for a company that cares about people. I just posted my human footer on LinkedIn. And I got my first over a million hits on LinkedIn, just by posting this human footer, saying, you know what, reply to me at a time that's convenient for you, not necessarily for me. So I think we're going to see a lot of this purpose driven mission, that's going to come out as well. >> Yeah, and I also noticed that, and I was on LinkedIn, I got a similar reaction when I started trying to create more of a community model, not so much have people attend our events, and we need butts in the seats. It was much more personal, like we wanted you to join us, not attend and be like a number. You know, people want to be part of something. This seem to be the new mission. >> Yeah, I completely agree with that. I think that, you know, people do want to be part of something and they want, they want to be part of the meaning of something too, right. Not just be part of something overall, but to have an impact themselves, personally and individually, not just as a company. And I think, you know, one of the other trends that we saw coming up too, was the focus on technology. And I think low code, no code is giving a lot of people entry into doing things I never thought they could do. So I do think that technology, artificial intelligence Containers, low code, no code blockchain, those are going to enable us to even do greater mission-based solutions. >> Low code, no code reduces the friction to create more value, again, back to the value proposition. Adding value is the key to success, your partners are doing it. And of course, being part of something great, like the Global Public Sector Partner Awards list is a good one. And that's what we're talking about here. Sandy, great to see you. Thank you for coming on and sharing your insights and an update and talking more about the 2021, Global Public Sector partner Awards. Thanks for coming on. >> Thank you, John, always a pleasure. >> Okay, the Global Leaders here presented on theCUBE, again, award winners doing great work in mission, modernization, again, adding value. That's what it's all about. That's the new competitive advantage. This is theCUBE. I'm John Furrier, your host, thanks for watching. (upbeat music)

Published Date : Jun 17 2021

SUMMARY :

Sandy, great to see you again. just want to give you props for and to our customers as well. So here's a list of some of the winners. And we also this year added in awards So I have to ask you, and they have, you know, Why is that the case? And the biggest and most I got to ask you on the secrets of success and I'd love to get your thoughts on And so they came to Presidio, And by the way, you make money doing it And then we're also seeing, you know, And you know, you have first of all that they're going to do, And there's going to be now that that's going to be like we wanted you to join us, And I think, you know, and talking more about the 2021, That's the new competitive advantage.

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Marco Palladino, Kong Inc | CUBE Conversation, March 2021


 

(upbeat music) >> Well, thank you for joining us here as we continue our Cube Conversation on the AWS startup showcase with Marco Palladino who is the CTO of Kong. And Marco, also a co-founder by the way, Marco, thank you for joining us here on theCUBE. It's good to have you with us. >> Thank you, John, for having me. >> You bet, absolutely. First off, for our visitors and our viewers who might not be too familiar with Kong, tell us a little bit about what you're up to and your core competencies, of which I know are many. >> Yeah, Kong is a cloud connectivity company. We provide the technology software that developers and enterprise organizations all over the world can use to connect securely their software, and their microservices, and their APIs together. So we're really executing here on being the Cisco of L4 and L7. >> Yeah, great analogy. A really good analogy. So when you are talking about microservices, obviously this is a pretty new space, or certainly a growing space, in terms of deployments and different technologies. How come, like where's this come from, basically the whole microservice notion and concept? >> Yeah, it's a very interesting concept. In 2013 and 2014 there was a market transition in the landscape. Docker was released in 2013. Kubernetes was released in 2014. And Docker and Kubernetes together really have unleashed a new era of microservices across pretty much every organization in the world. We know that if we are trying to grow a business we must iterate fast ship, new products faster. We must be reliable. We must be distributed decoupled. And to do that, monolithic applications, which is the previous way of building modern software, monolithic applications, doesn't really scale that well in a distributed world. And so with microservices, running on top of Kubernetes containerized with Docker, we can now decouple our software and run it in a faster, better, more reliable way across pretty much any cloud vendor in the world. And as a result of that, we can enter new markets faster. We can make our users happier by shipping fixes and features faster. And therefore we can grow the business. That's why microservices really have been adopted across the board. >> So let's dive into that a little deeper here in terms of the value proposition, because, just because you could do something obviously isn't what the reason why you should do it. There is value at the end of the day that you're delivering, a new value. So summarize that a little bit for, again, a perspective customer who might be watching right now, somebody that you want to talk to about these new services these new values that they can enjoy. Why they be thinking about Kong? Why should they be thinking about microservices? >> Yeah, you see, every organization in the world is becoming digital. And we've discovered that, a few years ago, with digital transformation 1.0, as I call it. And in that digital transformation, we have realized that in order for us to build a successful software, in order for us to grow our business, we really must be able to innovate quicker. We must be able to create and ship new products faster. We must be able to duplicate our workloads across multiple regions and cloud vendors so that we can target our users with low latency and with the quickest performance we can possibly get. Now, in order to do that the monolithic applications we used to build they don't do that that well. monolithic applications, as they grow, they become huge, hard to move, hard to scale, hard, to deploy, hard to innovate. And we, as an industry, have learned that if we can decouple those large monolithic applications into smaller components, like microservices, we can then ship and innovate faster. Now, of course, on one end, we ship and deploy faster. On the other end, we are introducing something that our monolithic applications never really had at this scale. And that is this massive connectivity across all the services that make up the final application. Being decoupled and being distributed really means that we are connecting them over the network with service connectivity. And if that service connectivity is not working well then the application is not working. So digital transformation 2.0 really is all about taking our digital business and transforming it, by decoupling it and distributing it, in order for us to build a stronger business. >> So you talked about the monolithic application and there's some simplicity to that though, isn't there? Because now we're introducing multiple layers and a lot of complexity in some respects. Which allows us to do a lot of things really well, but it also introduces challenges. So if you were talking to, again, a prospective customer and they said, "Hey, this all sounds well and good, but what if..?" There are a lot of what ifs out there. How do you address the different challenges or the questions that might be raised in terms of trouble that you're inviting by introducing this new complexity into the marketplace? >> Yeah, the key here is to abstract away all the things that we don't need to build for our business. The key is to focus on what drives our business and that's our users, our customers, the applications that we're building. Everything else that's not part of the core business should be delegated as part of the underlying infrastructure. Likewise, today, when we want to enter a new market we just leverage a cloud vendor. We don't go and build a physical data center from scratch. Likewise, when we build new modern applications, we don't want to build the orchestration platforms by ourselves. We don't want to build the connectivity stack by ourselves. But we want to abstract that away so that our teams can focus on what matters for the business. And that's the users, the customers, the application. It's not building the underlying infrastructure which can be given as a service to the application teams as opposed to asking the teams to build it from scratch. And there's going to be challenges, of course, but there's going to be benefits. And as long as the benefits are bigger than the challenges then it's worth while transitioning to microservices if that can help us scale faster and grow faster. And if anything, with COVID last year, we have learned how important it is for every organization to think about digitalizing in a faster way, in order to keep being in business, as a matter of fact, to keep winning against their competitors. And the organizations that can acquire good knowledge of the underlying tooling to allow them to transform this way, those are the organizations that are going to be succeeding moving forward. >> What do you think is the biggest shift in this paradigm then in terms of this legacy system that we had in place, that worked pretty well, to now We have a much more specialized, instead a much more distributed approach, that is providing these new values and certainly great benefits. But in your mind, what's the biggest shift there, you think, in terms of mindset and in terms of actual deployment? >> Well transitioning to microservices really involves three different transformations and that's why sometimes it can be challenging. It requires transforming our software to microservices. By doing so, it requires us to rethink the operations of how we deploy, run, and test our software. And the third aspect, the third component that it transforms it's the cultural component. And now we can build smaller teams that can work in a decoupled asynchronous way. And as long as they expose an API those teams are going to be very well integrated with the rest of the organization. Look at what companies like Amazon, Netflix, or Google have done. And that's a big cultural shift. Like any large transformation, it is not, there is not one secret ingredient. It's an entire mindset that has to change. Now, thankfully for us, this transition is also being driven by bottom up adoption and transformation that's being driven by open source software. So unlike the previous transformations, these ones, if you wish, it's a self service transformation. Open source ecosystem provides us with a self-service ecosystem of a landscape of tools and platform and technologies that the application teams and the infrastructure teams can go ahead and use in order to figure out what's the best formula for them to achieve their success. >> When you have the, so let's just say, you've got your operation in place and you have multiple communications going on amongst microservices, whatever. It's all well and good. Now you want to introducing yet another. And so are there, not concerns, are there challenges there in bringing a newcomer into that environment in terms of testing, in terms of deployment, because of the factors, the variables that come into play here? How one piece works with another piece won't be the same how it works with another piece, right? So how do you handle testing? How do you handle new deployments in this kind of an environment? >> This is perhaps the most critical cultural change and transformation that microservices bring. With a monolithic application, if the monolith was up and running the business was up and running. If the monolith was down the business was done. Simple, easy. It was clear. It's one-to-one clear to understand. With microservices we're effectively making ourselves comfortable of always running in a partially degraded system. Because there is so much more, so many more moving parts running at the same time they cannot possibly be all up and running at any given point in time. Some of them will be running. Some of them will be slow. Some of them will be not executing. And guess what? Our infrastructure is built in such a way that, even when that happens, the customer and the users will never experience any downtime. This is a chance for us to transition to microservices. It's a chance for us to accelerate the innovation in your organization. But also to accelerate the reliability of our applications and also accelerate the security of our applications. And these may sound counterintuitive. Many technology leaders they're like, "Wait, what do you mean by that? How can you transition to microservices and improve the security if you have so many moving parts in your systems running as opposed to a monolith?" But that's an opportunity for us to improve the security. Because now, unlike the monolith, where everything can consume and access everything else, with microservices we can set up a tighter security rules in place to determine what services can consume what other services and in what capacity? In a monolithic world, as long as the code base is accessible, anybody can do anything that the monolith can do. With microservices it's an opportunity for us to lock that down. And even the past year, we've seen how important that is. The reputational of an entire organization can be destroyed by a high profile breach or attack. And so it's very important for us to catch this opportunity so that we can implement zero trust security. We can implement a consistent, non-fragmented layer of security across all of our applications, not just the Kubernetes ones or the containerized ones, but even the virtual machine based ones. And all the connections that we're generating, that's the backbone of every modern architecture, that's the bread and butter of every microservice oriented application. And that connectivity has to be managed, and secure, and observed, and exposed to our partners, developers, and customers. If that connectivity fails, then our business fails. And so today we can not ask the application teams to build that connectivity for us. That's like asking them to go build an application, and as they're doing that, walking to the data center and physically connecting the switches and the routers to the server racks to build the underlying physical connectivity. We don't, we cannot ask them to do that. The connectivity as well has to be abstracted the same way we are abstracting the data center with platforms like Kubernetes. >> So just back again to security. Obviously, you pointed out, we've had some pretty high profile cases here of late. Well, actually it's probably the past four or five years, but certainly of late, state actors taking actions. So that security mindset that you're in right now it does seem counterintuitive to me. That you have multiple doors, right? In the monolithic environment you've got one big one, right? And you just have to crack the code, and you're in. But in this case, you've got a lot of different entry points but you're saying that you're actually, you can batten down that hatch, if you will. You can provide the protective barrier around all of these microservices in an effective way. >> It's an opportunity for us. I'm a big fan of when John Chambers, the ex CEO of Cisco said, "Whenever there is a threat, how can we think of that as an opportunity?" And really microservices gave us the opportunity to implement a new generation security model for all of our applications. That's tight, that cannot be breaked into. And so that zero trust security, OPA, across the entire organization for both North/South and East/West traffic, for both the gateways and the service meshes. That is, for us, the opportunity to secure our applications in a way that could not be secured before in a monolithic world. Microservices not only create a business advantage but they gave us also many, many different chances for us to improve all the other aspects of security and productivity within your organization. And securing it, that's one of the opportunities that we can not miss. >> Well, Marco thank you for the time. Fascinating work, it really is, revolutionary in many respects. And I wish you continued success at Kong. And thank you for joining us here on the startup showcase. >> Thank you so much. >> Great. John was here talking to the Marco Palladino Who is the CTO and co-founder of Kong. We're talking about the service mesh, that landscape. It is new. It is evolving. And it is certainly a fascinating wrinkle to our world. Thanks for joining us here on theCUBE Conversation. I'm John Walls. We'll see you next time. (upbeat music)

Published Date : Mar 19 2021

SUMMARY :

And Marco, also a co-founder by the way, and your core competencies, We provide the technology software basically the whole We know that if we are in terms of the value proposition, On the other end, we are or the questions that might be raised Yeah, the key here is to system that we had in place, that the application teams because of the factors, the variables And that connectivity has to be managed, You can provide the protective barrier and the service meshes. here on the startup showcase. Who is the CTO and co-founder of Kong.

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Marco Palladino, Kong Inc | CUBE Conversation, March 2021


 

(upbeat music) >> Well, thank you for joining us here as we continue our Cube Conversation on the AWS startup showcase with Marco Palladino who is the CTO of Kong. And Marco, also a co-founder by the way, Marco, thank you for joining us here on theCUBE. It's good to have you with us. >> Thank you, John, for having me. >> You bet, absolutely. First off, for our visitors and our viewers who might not be too familiar with Kong, tell us a little bit about what you're up to and your core competencies, of which I know are many. >> Yeah, Kong is a cloud connectivity company. We provide the technology software that developers and enterprise organizations all over the world can use to connect securely their software, and their microservices, and their APIs together. So we're really executing here on being the Cisco of L4 and L7. >> Yeah, great analogy. A really good analogy. So when you are talking about microservices, obviously this is a pretty new space, or certainly a growing space, in terms of deployments and different technologies. How come, like where's this come from, basically the whole microservice notion and concept? >> Yeah, it's a very interesting concept. In 2013 and 2014 there was a market transition in the landscape. Docker was released in 2013. Kubernetes was released in 2014. And Docker and Kubernetes together really have unleashed a new era of microservices across pretty much every organization in the world. We know that if we are trying to grow a business we must iterate fast ship, new products faster. We must be reliable. We must be distributed decoupled. And to do that, monolithic applications, which is the previous way of building modern software, monolithic applications, doesn't really scale that well in a distributed world. And so with microservices, running on top of Kubernetes containerized with Docker, we can now decouple our software and run it in a faster, better, more reliable way across pretty much any cloud vendor in the world. And as a result of that, we can enter new markets faster. We can make our users happier by shipping fixes and features faster. And therefore we can grow the business. That's why microservices really have been adopted across the board. >> So let's dive into that a little deeper here in terms of the value proposition, because, just because you could do something obviously isn't what the reason why you should do it. There is value at the end of the day that you're delivering, a new value. So summarize that a little bit for, again, a perspective customer who might be watching right now, somebody that you want to talk to about these new services these new values that they can enjoy. Why they be thinking about Kong? Why should they be thinking about microservices? >> Yeah, you see, every organization in the world is becoming digital. And we've discovered that, a few years ago, with digital transformation 1.0, as I call it. And in that digital transformation, we have realized that in order for us to build a successful software, in order for us to grow our business, we really must be able to innovate quicker. We must be able to create and ship new products faster. We must be able to duplicate our workloads across multiple regions and cloud vendors so that we can target our users with low latency and with the quickest performance we can possibly get. Now, in order to do that the monolithic applications we used to build they don't do that that well. monolithic applications, as they grow, they become huge, hard to move, hard to scale, hard, to deploy, hard to innovate. And we, as an industry, have learned that if we can decouple those large monolithic applications into smaller components, like microservices, we can then ship and innovate faster. Now, of course, on one end, we ship and deploy faster. On the other end, we are introducing something that our monolithic applications never really had at this scale. And that is this massive connectivity across all the services that make up the final application. Being decoupled and being distributed really means that we are connecting them over the network with service connectivity. And if that service connectivity is not working well then the application is not working. So digital transformation 2.0 really is all about taking our digital business and transforming it, by decoupling it and distributing it, in order for us to build a stronger business. >> So you talked about the monolithic application and there's some simplicity to that though, isn't there? Because now we're introducing multiple layers and a lot of complexity in some respects. Which allows us to do a lot of things really well, but it also introduces challenges. So if you were talking to, again, a prospective customer and they said, "Hey, this all sounds well and good, but what if..?" There are a lot of what ifs out there. How do you address the different challenges or the questions that might be raised in terms of trouble that you're inviting by introducing this new complexity into the marketplace? >> Yeah, the key here is to abstract away all the things that we don't need to build for our business. The key is to focus on what drives our business and that's our users, our customers, the applications that we're building. Everything else that's not part of the core business should be delegated as part of the underlying infrastructure. Likewise, today, when we want to enter a new market we just leverage a cloud vendor. We don't go and build a physical data center from scratch. Likewise, when we build new modern applications, we don't want to build the orchestration platforms by ourselves. We don't want to build the connectivity stack by ourselves. But we want to abstract that away so that our teams can focus on what matters for the business. And that's the users, the customers, the application. It's not building the underlying infrastructure which can be given as a service to the application teams as opposed to asking the teams to build it from scratch. And there's going to be challenges, of course, but there's going to be benefits. And as long as the benefits are bigger than the challenges then it's worth while transitioning to microservices if that can help us scale faster and grow faster. And if anything, with COVID last year, we have learned how important it is for every organization to think about digitalizing in a faster way, in order to keep being in business, as a matter of fact, to keep winning against their competitors. And the organizations that can acquire good knowledge of the underlying tooling to allow them to transform this way, those are the organizations that are going to be succeeding moving forward. >> What do you think is the biggest shift in this paradigm then in terms of this legacy system that we had in place, that worked pretty well, to now We have a much more specialized, instead a much more distributed approach, that is providing these new values and certainly great benefits. But in your mind, what's the biggest shift there, you think, in terms of mindset and in terms of actual deployment? >> Well transitioning to microservices really involves three different transformations and that's why sometimes it can be challenging. It requires transforming our software to microservices. By doing so, it requires us to rethink the operations of how we deploy, run, and test our software. And the third aspect, the third component that it transforms it's the cultural component. And now we can build smaller teams that can work in a decoupled asynchronous way. And as long as they expose an API those teams are going to be very well integrated with the rest of the organization. Look at what companies like Amazon, Netflix, or Google have done. And that's a big cultural shift. Like any large transformation, it is not, there is not one secret ingredient. It's an entire mindset that has to change. Now, thankfully for us, this transition is also being driven by bottom up adoption and transformation that's being driven by open source software. So unlike the previous transformations, these ones, if you wish, it's a self service transformation. Open source ecosystem provider us with a self-service ecosystem of a landscape of tools and platform and technologies that the application teams and the infrastructure teams can go ahead and use in order to figure out what's the best formula for them to achieve their success. >> When you have the, so let's just say, you've got your operation in place and you have multiple communications going on amongst microservices, whatever. It's all well and good. Now you want to introducing yet another. And so are there, not concerns, are there challenges there in bringing a newcomer into that environment in terms of testing, in terms of deployment, because of the factors, the variables that come into play here? How one piece works with another piece won't be the same how it works with another piece, right? So how do you handle testing? How do you handle new deployments in this kind of an environment? >> This is perhaps the most critical cultural change and transformation that microservices bring. With a monolithic application, if the monolith was up and running the business was up and running. If the monolith was down the business was done. Simple, easy. It was clear. It's one-to-one clear to understand. With microservices we're effectively making ourselves comfortable of always running in a partially degraded system. Because there is so much more, so many more moving parts running at the same time they cannot possibly be all up and running at any given point in time. Some of them will be running. Some of them will be slow. Some of them will be not executing. And guess what? Our infrastructure is built in such a way that, even when that happens, the customer and the users will never experience any downtime. This is a chance for us to transition to microservices. It's a chance for us to accelerate the innovation in your organization. But also to accelerate the reliability of our applications and also accelerate the security of our applications. And these may sound counterintuitive. Many technology leaders they're like, "Wait, what do you mean by that? How can you transition to microservices and improve the security if you have so many moving parts in your systems running as opposed to a monolith?" But that's an opportunity for us to improve the security. Because now, unlike the monolith, where everything can consume and access everything else, with microservices we can set up a tighter security rules in place to determine what services can consume what other services and in what capacity? In a monolithic world, as long as the code base is accessible, anybody can do anything that the monolith can do. With microservices it's an opportunity for us to lock that down. And even the past year, we've seen how important that is. The reputational of an entire organization can be destroyed by a high profile breach or attack. And so it's very important for us to catch this opportunity so that we can implement zero trust security. We can implement a consistent, non-fragmented layer of security across all of our applications, not just the Kubernetes ones or the containerized ones, but even the virtual machine based ones. And all the connections that we're generating, that's the backbone of every modern architecture, that's the bread and butter of every microservice oriented application. And that connectivity has to be managed, and secure, and observed, and exposed to our partners, developers, and customers. If that connectivity fails, then our business fails. And so today we can not ask the application teams to build that connectivity for us. That's like asking them to go build an application, and as they're doing that, walking to the data center and physically connecting the switches and the routers to the server racks to build the underlying physical connectivity. We don't, we cannot ask them to do that. The connectivity as well has to be abstracted the same way we are abstracting the data center with platforms like Kubernetes. >> So just back again to security. Obviously, you pointed out, we've had some pretty high profile cases here of late. Well, actually it's probably the past four or five years, but certainly of late, state actors taking actions. So that security mindset that you're in right now it does seem counterintuitive to me. That you have multiple doors, right? In the monolithic environment you've got one big one, right? And you just have to crack the code, and you're in. But in this case, you've got a lot of different entry points but you're saying that you're actually, you can batten down that hatch, if you will. You can provide the protective barrier around all of these microservices in an effective way. >> It's an opportunity for us. I'm a big fan of when John Chambers, the ex CEO of Cisco said, "Whenever there is a threat, how can we think of that as an opportunity?" And really microservices gave us the opportunity to implement a new generation security model for all of our applications. That's tight, that cannot be breaked into. And so that zero trust security, OPA, across the entire organization for both North/South and East/West traffic, for both the gateways and the service meshes. That is, for us, the opportunity to secure our applications in a way that could not be secured before in a monolithic world. Microservices not only create a business advantage but they gave us also many, many different chances for us to improve all the other aspects of security and productivity within your organization. And securing it, that's one of the opportunities that we can not miss. >> Well, Marco thank you for the time. Fascinating work, it really is, revolutionary in many respects. And I wish you continued success at Kong. And thank you for joining us here on the startup showcase. >> Thank you so much. >> Great. John was here talking to the Marco Palladino Who is the CTO and co-founder of Kong. We're talking about the service mesh, that landscape. It is new. It is evolving. And it is certainly a fascinating wrinkle to our world. Thanks for joining us here on theCUBE Conversation. I'm John Walls. We'll see you next time. (upbeat music)

Published Date : Mar 17 2021

SUMMARY :

And Marco, also a co-founder by the way, and your core competencies, We provide the technology software basically the whole We know that if we are in terms of the value proposition, On the other end, we are or the questions that might be raised Yeah, the key here is to system that we had in place, that the application teams because of the factors, the variables And that connectivity has to be managed, You can provide the protective barrier and the service meshes. here on the startup showcase. Who is the CTO and co-founder of Kong.

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Functional Encryption for Attribute Weighted Sums


 

>>I am. So take a week off representing my work functional encryption for attribute. With that sums, this is tracked, what with Michelle dolla and twin Cinco you go. So the context of this work is to do a private data based analysis. So consider we have a database off an attribute value past comprising expire public values and see a private value. So thank for concreteness off X. I being say demographic and geographic attributes, and C i s a some rating in the poll. Now we'll be interested in computing the average X value over some subset of the data base, for instance, where the subset of the data basis selected by apply some practical f So the public attribute exile The concrete, if we may be interested in it, would be, for instance, to look at, say, uh, individuals over the age of 40 who are focusing subscribers in the state of Wisconsin because they're more generous, setting off a tribute with the sums. Where are the up of the function Ethnic of Israel? One, but could be arbitrary. Wait. And the when FBIs the uproar license real one. This corresponds to this pressure from we'll be looking at this question from the point of your function. Encryption, where in function encryption We have encryption algorithm that they just put the database and outputs a cyber attacks with the key generation where them that this is simply a function and outputs a secret key and with the decryption algorithm that this is simple the separatists and the secret key outputs still actually with the sound. And we want the additional privacy guarantee that the site protection and the secret key should like no additional information beyond about the private values beyond what we learned from the attribute with that stuff. In this work, we construct function encryption scheme for actually with the sums for large class of programs corresponding toe aromatic question programs, which contains as a special case of bullion formula. Our scheme has the property that key generations independent off, and the site of database this'll means that we can generate secret keys without knowing a brewery the size off the database, and we can use the same secret key to decrypt database off any science containing any number of entries. Most of the encryption algorithm who's running time depends on end but otherwise independent off the complexity off the function at we achieve strong simulation base security against about the collusions, and we achieve security, understand assumptions over prime Auto buy dinner groups. Ah, construction is very simple. Um, position two steps. We start with the scheme for setting and equals toe one. So their scheme, which we did know superscript one that this is simple snz and description returned back in time, see? And then the second step, we amplify this species scheme from n equals one toe general arbitrary. And now, for this case and equals one, you can actually get the scheme by some simple tweaks. Toe briar works. So for this talk, we're going toe focus on the second steps, which is an amplification procedure that starts from n equals 212 general and >>without blowing up >>the site of secret key. So here's our first attempt at a subject and identification procedure. So this is a very natural construction, namely toe encrypt the entire database. We apply the basic scheme and each off the attribute value plastics. I see I And then secret key will basically be the secret key for the basic skin. Uh, to decrypt, we first applied a secret kid. They each of the individual anti production, the basic schemes to compute f of X, i C i and then some off these values. No, no, that correctness is very straightforward and for those from the off the underlying scheme. And we also accuse efficiency in the sense that the site of secret key only depends on F, and it's independent off the capital and the total number of innovation trees. The problem, however, is that we do not choose security in particular the this partial descriptions licked the individual ever besides the values words we should description should only like the Southeast values. To solve this problem, we basically will introduce additional randomize us to the skin. So during encryption who additionally big envelope scatters with some museum and we will apply the basis schemes and protection I together with I will see I the concatenation of the i n w I s the private very the secret keys similar to that from before, we have set tweak that we generate secret keeper function f that when we decrypt the basics type of tax return ever X icy blast W by see something we can do. And now if we summon all these values the W I can sell and then we get correctness unspeakable. And this additional randomize is from the w. I also guarantee that the partial descriptions don't leak additional information about the individual Apple Excellency. Nice. Now this works if we only get about one secret key. However, if we give up multiple secret keys, assist the case when we have collusions security no longer holds because we cannot reuse this randomizer w ice across multiple keys The fix this problem we will competition randomized w ice using a d this assumption concretely. During key generation, we will bigger random scatter arm the Children fresh for secret key and included in the exponents which we are, you know, by the square brackets and then the the secret key will be generated for a function f arm that when you saw that when you decrypt the individual stuff that you don't compute, emphasized the I rather you compute anxiety. I blast w items are Where are you are in the secret key and this computation is that India's for them. It's and toe to decrypt. We just need to multiply all these values together, which then basically induces a some India's opponents because, uh, toe get the final answer would need to do a group off the script lock so we only get efficient description. If the attribute With some life standpoint, it makes sense to me. All right, let's think about how we'll try to prove security. So consider the drug distribution of the partial descriptions, but we'll apply the devious assumption to replace W. I asked with uniformly random values, frustrated minders per secret key. Thanks, toa. Having a fresh are per security. And then we can a blessed testicle argument to essentially move each off the individual xz items toe the first time in the entire Siri's. This gives a security, >>however, if we try to carry this out Thesis, uh, argument out in the scheme, we need to somehow embed this and >>Eunice eventually be correspondent by tourists in tow. Either this type of tax or the secret key. >>Now let us know that we cannot embed >>and municipal will be into the secret key because the sight of secret cannot go through there. Now if we try to embed this annual, it's off and to be in the cyber attacks. It also doesn't work because we actually need, uh, and fresh units, Um, and to be her secretly query. And if you try to embed all this into the sack attacks the cyberattacks science will grow with number of secret key queries, which is something we cannot allow for. So to solve this problem, we're going toe instead, use a different strategy. We're going toe and what with the partial sums and and let this partial sums into the secret key across and introduced this aneurysm entropy, one unit at a time across and hybrid experiments in a bit more detail. Thistle. Again, it's the partial descriptions. We start by looking at the first two terms. We're >>gonna basically of like, the dishes before toe move that FX does that to turn from the second term to the custom. Now we look at the first and the term and again we can apply the delis assumption to the term toe move, uh, off extra. That three tools the custom on we can keep doing this over and over again. Moving the fourth f accepts for the four to the first summer and so on, so forth until we move everything to the question. This basically works. Each that will only need toe >>applied. The once per secret here introduced one you can eventually be. The main >>problem, however, is that we will now need in >>approval security to show that really assimilate itself that's indistinguishable while giving up assimilated secret key. >>This is the whole in >>general for the basic scheme, but we can work around this but essentially running two copies off the basic scheme that basically concludes the talk. So we show how to construct function encryption for attribute way that stands for automatic brushing programs in the what. We also discussed the extension toe a setting where the database is distributed across multiple clients, a couple of people problems. One is to achieve it up to security, and another is to get a scheme from lattice assumptions. Thank you very much.

Published Date : Sep 21 2020

SUMMARY :

that key generations independent off, and the site of database this'll means that we can generate They each of the individual anti production, the basic schemes to compute f of X, Either this type of tax or the secret the cyberattacks science will grow with number of secret key queries, which is something we cannot allow for. and the term and again we can apply the delis assumption to the term toe move, The once per secret here introduced one you can eventually be. approval security to show that really assimilate itself that's indistinguishable while giving general for the basic scheme, but we can work around this but essentially running two copies off the

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Sanjay Poonen, VMware | AWS Summit Online 2020


 

>> Announcer: From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hello, welcome back to theCUBE's coverage, CUBE Virtual's coverage, CUBE digital coverage, of AWS Summit, virtual online, Amazon Summit's normally in face-to-face all around the world, it's happening now online, follow the sun. Of course, we want to bring theCUBE coverage like we do at the events digitally, and we've got a great guest that usually comes on face-to-face, he's coming on virtual, Sanjay Poonen, the chief operating officer of VMware. Sanjay great to see you, thanks for coming in virtually, you look great. >> Hey, John thank you very much. Always a pleasure to talk to you. This is the new reality. We both happen to live very close to each other, me in Los Altos, you in Palo Alto, but here we are in this new mode of communication. But the good news is I think you guys at theCUBE were pioneering a lot of digital innovation, the AI platform, so hopefully it's not much of an adjustment for you guys to move digital. >> It's not really a pivot, just move the boat, put the sails up and sail into the next generation, which brings up really the conversation that we're seeing, which is this digital challenge, the virtual world, it's virtualization, Sanjay, it sounds like VMware. Virtualization spawned so much opportunity, it created Amazon, some say, I'd say. Virtualizing our world, life is now integrated, we're immersed into each other, physical and digital, you got edge computing, you got cloud native, this is now a clear path to customers that recognize with the pandemic challenges of at-scale, that they have to operate their business, reset, reinvent, and grow coming out of this pandemic. This has been a big story that we've been talking about and a lot of smart managers looking at projects saying, I'm doubling down on that, and I'm going to move the resources from this, the people and budget, to this new reality. This is a tailwind for the folks who were prepared, the ones that have the experience, the ones that did the work. theCUBE, thanks for the props, but VMware as well. Your thoughts and reaction to this new reality, because it has to be cloud native, otherwise it doesn't work, your thoughts. >> Yeah, I think, John, you're right on. We were very fortunate as a company to invent the term virtualization for an x86 architecture and the category 20 years ago when Diane founded this great company. And I would say you're right, the public cloud is the instantiation of virtualization at its sort of scale format and we're excited about this Amazon partnership, we'll talk more about that. This new world of doing everything virtual has taken the same concepts to whole new levels. We are partnering very closely with companies like Zoom, because a good part of this is being able to deliver video experiences in there, we'll talk about that if needed. Cloud native security, we announced an acquisition today in container security that's very important because we're making big moves in security, security's become very important. I would just say, John, the first thing that was very important to us as we began to shelter in place was the health of our employees. Ironically, if I go back to, in January I was in Davos, in fact some of your other folks who were on the show earlier, Matt Garman, Andy, we were all there in January. The crisis already started in China, but it wasn't on the world scene as much of a topic of discussion. Little did we know, three, four weeks later, fast forward to February things were moving so quickly. I remember a Friday late in February where we were just about to go the next week to Las Vegas for our in-person sales kickoffs. Thousands of people, we were going to do, I think, five or 6,000 people in Las Vegas and then another 3,000 in Barcelona, and then finally in Singapore. And it had not yet been categorized a pandemic. It was still under this early form of some worriable virus. We decided for the health and safety of our employees to turn the entire event that was going to happen on Monday to something virtual, and I was so proud of the VMware team to just basically pivot just over the weekend. To change our entire event, we'd been thinking about video snippets. We have to become in this sort of virtual, digital age a little bit like TV producers like yourself, turn something that's going to be one day sitting in front of an audience to something that's a lot shorter, quicker snippets, so we began that, and the next thing we began doing over the next several weeks while the shelter in place order started, was systematically, first off, tell our employees, listen, focus on your health, but if you're healthy, turn your attention to serving your customers. And we began to see, which we'll talk about hopefully in the context of the discussion, parts of our portfolio experience a tremendous amount of interest for a COVID-centered world. Our digital workplace solutions, endpoint security, SD-WAN, and that trifecta began to be something that we began to see story after story of customers, hospitals, schools, governments, retailers, pharmacies telling us, thank you, VMware, for helping us when we needed those solutions to better enable our people on the front lines. And all VMware's role, John, was to be a digital first responder to the first responder, and that gave tremendous amount of motivation to all of our employees into it. >> Yeah, and I think that's a great point. One of the things we've been talking about, and you guys have been aligned with this, you mentioned some of those points, is that as we work at home, it points out that digital and technology is now part of lifestyle. So we used to talk about consumerization of IT, or immersion with augmented reality and virtual reality, and then talk about the edge of the network as an endpoint, we are at the edge of the network, we're at home, so this highlights some of the things that are in demand, workspaces, VPN provisioning, these new tools, that some cases we've been hearing people that no one ever thought of having a forecast of 100% VPN penetration. Okay, you did the AirWatch deal way back when you first started, these are now fruits of those labors. So I got to ask you, as managers of your customer base are out there thinking, okay, I got to double down on the right growth strategy for this post-pandemic world, the smart managers are going to look at the technologies enabled for business outcome, so I have to ask you, innovation strategies are one thing, saying it, putting it place, but now more than ever, putting them in action is the mandate that we're hearing from customers. Okay I need an innovation strategy, and I got to put it into action fast. What do you say to those customers? What is VMware doing with AWS, with cloud, to make those innovation strategies not only plausible but actionable? >> That's a great question, John. We focused our energy, before even COVID started, as we prepared for this year, going into sales kickoffs and our fiscal year, around five priorities. Number one was enabling the world to be multicloud, private cloud and public cloud, and clearly our partnership here with Amazon is the best example of that and they are our preferred cloud partner. Secondly, building modern apps with microservices and cloud native, what we call app modernization. Thirdly, which is a key part to the multicloud, is building out the entire network stack, data center networking, the firewalls, the load bouncing in SD-WAN, so I'd call that cloud network. Number four, the modernization of workplace with an additional workspace solution, Workspace ONE. And five, intrinsic security from all aspects of security, network, endpoint, and cloud. So those five priorities were what we began to think through, organize our portfolio, we call them solution pillars, and for any of your viewers who're interested, there's a five-minute version of the VMware story around those five pillars that you can watch on YouTube that I did, you just search for Sanjay Poonen and five-minute story. But then COVID hit us, and we said, okay we got to take these strategies now and make them more actionable. Exactly your question, right? So a subset of that portfolio of five began to become more actionable, because it's pointless going and talking about stuff and it's like, hey, listen, guys, I'm a house on fire, I don't care about the curtains and all the wonderful art. You got to help me through this crisis. So a subset of that portfolio became kind of what was those, think about now your laptop at home, or your endpoint at home. People wanted, on top of their Zoom call, or surrounding their Zoom call, a virtual desktop managed easily, so we began to see Workspace ONE getting a lot of interest from our customers, especially the VDI part of that portfolio. Secondly, that laptop at home needed to be secured. Traditional, old, legacy AV solutions that've worked, enter Carbon Black, so Workspace ONE plus Carbon Black, one and two. Third, that laptop at home needs network acceleration, because we're dialoguing and, John, we don't want any latency. Enter SD-WAN. So the trifecta of Workspace ONE, Carbon Black and VeloCloud, that began to see even more interest and we began to hone in our portfolio around those three. So that's an example of where you have a general strategy, but then you apply it to take action in the midst of a crisis, and then I say, listen, that trifecta, let's just go and present what we can do, we call that the business continuity or business resilience part of our portfolio. We began to start talking to customers, and saying, here's our business continuity solution, here's what we could do to help you, and we targeted hospitals, schools, governments, pharmacies, retailers, the ones who're on the front line of this and said again, that line I said earlier, we want to be a digital first responder to you, you are the real first responder. Right before this call I got off a CIO call with the CIO of a major hospital in the northeast area. What gives me great joy, John, is the fact that we are serving them. Their beds are busting at the seam, in serving patients-- >> And ransomware's a huge problem you guys-- >> We're serving them. >> And great stuff there, Sanjay, I was just on a call this morning with a bunch of folks in the security industry, thought leaders, was in DC, some generals were there, some real thought leaders, trying to figure out security policy around biosecurity, COVID-19, and this invisible disruption, and they were equating it to like the World Wars. Big inflection point, and one of the generals said, in those times of crisis you need alliances. So I got to ask you, COVID-19 is impactful, it's going to have serious impact on the critical nature of it, like you said, the house is on fire, don't worry about the curtains. Alliances matter more than ever when you need to come together. You guys have an ecosystem, Amazon's got an ecosystem, this is going to be a really important test to the alliances out there. How do you view that as you look forward? You need the alliances to be successful, to compete and win in the new world as this invisible enemy, if you will, or disruptor happens, what's your thoughts? >> Yeah, I'll answer in a second, just for your viewers, I sneezed, okay? I've been on your show dozens of time, John, but in your live show, if I sneezed, you'd hear the loud noise. The good news in digital is I can mute myself when a sneeze is about to happen, and we're able to continue the conversation, so these are some side benefits of the digital part of it. But coming to your question on alliance, super important. Ecosystems are how the world run around, united we stand, divided we fall. We have made ecosystems, I've always used this phrase internally at VMware, sort of like Isaac Newton, we see clearly because we stand on the shoulders of giants. So VMware is always able to be bigger of a company if we stand on the shoulders of bigger giants. Who were those companies 20 years ago when Diane started the company? It was the hardware economy of Intel and then HP and Dell, at the time IBM, now Lenovo, Cisco, NetApp, DMC. Today, the new hardware companies Amazon, Azure, Google, whoever have you, we were very, I think, prescient, if you would, to think about that and build a strategic partnership with Amazon three or four years ago. I've mentioned on your show before, Andy's a close friend, he was a classmate over at Harvard Business School, Pat, myself, Ragoo, really got close to Andy and Matt Garman and Mike Clayville and several members of their teams, Teresa Carlson, and began to build a partnership that I think is one of the most incredible success stories of a partnership. And Dell's kind of been a really strong partner with us on private cloud, having now Amazon with public cloud has been seminal, we do regular meetings and build deep integration of, VMware Cloud and AWS is not some announcement two or three years ago. It's deep engineering between, Bask's now in a different role, but in his previous role, that and people like Mark Lohmeyer in our team. And that deep engineering allows us to know and tell customers this simple statement, which both VMware and Amazon reps tell their customers today, if you have a workload running on vSphere, and you want to move that to Amazon, the best place, the preferred place for that is VMware Cloud and Amazon. If you try to refactor that onto a native VC 2, it's a waste of time and money. So to have the entire army of VMware and Amazon telling customers that statement is a huge step, because it tells customers, we have 70 million virtual machines running on-prem. If customers are looking to move those workloads to Amazon, the best place for that VMware Cloud and AWS, and we have some credible customer case studies. Freddie Mac was at VMworld last year. IHS Markit was at VMworld last year talking about it. Those are two examples and many more started it, so we would like to have every VMware and Amazon customer that's thinking about VMware to look at this partnership as one of the best in the industry and say very similar to what Andy I think said on stage at the time of this announcement, it doesn't have to be now a trade-off between public and private cloud, you can get the best of both worlds. That's what we're trying to do here-- >> That's a great point, I want to get your thoughts on leadership, as you look at COVID-19, one of our tracks we're going to be promoting heavily on theCUBE.net and our sites, around how to manage through this crisis. Andy Jassy was quoted on the fireside chat, which is coming up here in North America, but I saw it yesterday in New Zealand time as I time shifted over there, it's a two-sided door versus a one-sided door. That was kind of his theme is you got to be able to go both ways. And I want to get your thoughts, because you might know what you're doing in certain contexts, but if you don't know where you're going, you got to adjust your tactics and strategies to match that, and there's and old expression, if you don't know where you're going, every road will take you there, okay? And so a lot of enterprise CXOs or CEOs have to start thinking about where they want to go with their business, this is the growth strategy. Then you got to understand which roads to take. Your thoughts on this? Obviously we've been thinking it's cloud native, but if I'm a decision maker, I want to make sure I have an architecture that's going to carry me forward to the future. I need to make sure that I know where I'm going, so I know what road I'm on. Versus not knowing where I'm going, and every road looks good. So your thoughts on leadership and what people should be thinking around knowing what their destination is, and then the roads to take? >> John, I think it's the most important question in this time. Great leaders are born through crisis, whether it's Winston Churchill, Charles de Gaulle, Roosevelt, any of the leaders since then, in any country, Mahatma Gandhi in India, the country I grew up, Nelson Mandela, MLK, all of these folks were born through crisis, sometimes severe crisis, they had to go to jail, they were born through wars. I would say, listen, similar to the people you talked about, yeah, there's elements of this crisis that similar to a World War, I was talking to my 80 year old father, he's doing well. I asked him, "When was the world like this?" He said, "Second World War." I don't think this crisis is going to last six years. It might be six or 12 months, but I really don't think it'll be six years. Even the health care professionals aren't. So what do we learn through this crisis? It's a test of our leadership, and leaders are made or broken during this time. I would just give a few guides to leaders, this is something tha, Andy's a great leader, Pat, myself, we all are thinking through ways by which we can exercise this. Think of Sully Sullenberger who landed that plane on the Hudson. Did he know when he flew that airbus, US Airways airbus, that few flock of birds were going to get in his engine, and that he was going to have to land this plane in the Hudson? No, but he was making decisions quickly, and what did he exude to his co-pilot and to the rest of staff, calmness and confidence and appropriate communication. And I think it's really important as leaders, first off, that we communicate, communicate, communicate, communicate to our employees. First, our obligation is first to our employees, our family first, and then of course to our company employees, all 30,000 at VMware, and I'm sure similarly Andy does it to his, whatever, 60, 70,000 at AWS. And then you want to be able to communicate to them authentically and with clarity. People are going to be reading between the lines of everything you say, so one of the things I've sought to do with my team, all the front office functions report to me, is do half an hour Zoom video conferences, in the time zone that's convenient to them, so Japan, China, India, Europe, in their time zone, so it's 10 o'clock my time because it's convenient to Japan, and it's just 10 minutes of me speaking of what I'm seeing in the world, empathizing with them but listening to them for 20 minutes. That is communication. Authentically and with clarity, and then turn your attention to your employees, because we're going stir crazy sitting at home, I get it. And we've got to abide by the ordinances with whatever country we're in, turn your attention to your customers. I've gotten to be actually more productive during this time in having more customer conference calls, video conference calls on Zoom or whatever platform with them, and I'm looking at this now as an opportunity to engage in a new way. I have to be better prepared, like I said, these are shorter conversations, they're not as long. Good news I don't have to all over the place, that's better for my family, better for the carbon emission of the world, and also probably for my life long term. And then the third thing I would say is pick one area that you can learn and improve. For me, the last few years, two, three years, it's been security. I wanted to get the company into security, as you saw today we've announced mobile, so I helped architect the acquisition of Carbon Black, very similar to kind of the moves I've made six years ago around AirWatch, very key part to all of our focus to getting more into security, and I made it a personal goal that this year, at the start of the year, before COVID, I was going to meet 1,000 CISOs, in the Fortune 1000 Global 2000. Okay, guess what, COVID happens, and quite frankly that goal's gotten a little easier, because it's much easier for me to meet a lot more people on Zoom video conferences. I could probably do five, 10 per day, and if there's 200 working days in a day, I can easily get there, if I average about five per day, and sometimes I'm meeting them in groups of 10, 20. >> So maybe we can get you on theCUBE more often too, 'cause you have access to a video camera. >> That is my growth mindset for this year. So pick a growth mindset area. Satya Nadella puts this pretty well, "Move from being a know-it-all to a learn-it-all." And that's the mindset, great company. Andy has that same philosophy for Amazon, I think the great leaders right now who are running these cloud companies have that growth mindset. Pick an area that you can grow in this time, and you will find ways to do it. You'll be able to learn online and then be able to teach in some fashion. So I think communicate effectively, authentically, turn your attention to serving your customers, and then pick some growth area that you can learn yourself, and then we will come out of this crisis collectively, individuals and as partners, like VMware and Amazon, and then collectively as a society, I believe we'll come out stronger. >> Awesome great stuff, great insight there, Sanjay. Really appreciate you sharing that leadership. Back to the more of technical questions around leadership is cloud native. It's clear that there's going to be a line in the sand, if you will, there's going to be a right side of history, people are going to have to be on the right side of history, and I believe it's cloud native. You're starting to see this emersion. You guys have some news, you just announced today, you acquired a Kubernetes security startup, around Kubernetes, obviously Kubernetes needs security, it's one of those key new enablers, disruptive enablers out there. Cloud native is a path that is a destination opportunity for people to think about, why that acquisition? Why that company? Why is VMware making this move? >> Yeah, we felt as we talked about our plans in security, backing up to things I talked about in my last few appearances on your show at VMworld, when we announced Carbon Black, was we felt the security industry was broken because there was too many point benders, and we figured there'd be three to five control points, network, endpoint, cloud, where we could play a much more pronounced role at moving a lot of these point benders, I describe this as not having to force our customers to go to a doctor and say I've got to eat 5,000 tablets to get healthy, you make it part of your diet, you make it part of the infrastructure. So how do we do that? With network security, we're off to the races, we're doing a lot more data center networking, firewall, load bouncing, SD-WAN. Really, reality is we can eat into a lot of the point benders there that I've just been, and quite frankly what's happened to us very gratifying in the network security area, you've seen the last few months, some firewall vendors are buying SD-WAN players, kind of following our strategy. That's a tremendous validation of the fact that the network security space is being disrupted. Okay, move to endpoint security, part of the reason we acquired Carbon Black was to unify the client side, Workspace ONE and Carbon Black should come together, and we're well under way in doing that, make Carbon Black agentless on the server side with vSphere, we're well on the way to that, you'll see that very soon. By the way both those things are something that the traditional endpoint players can't do. And then bring out new forms of workload. Servers that are virtualized by VMware is just one form of work. What are other workloads? AWS, the public clouds, and containers. Container's just another workload. And we've been looking at container security for a long time. What we didn't want to do was buy another static analysis player, another platform and replatform it. We felt that we could get great technology, we have incredible grandeur on container cell. It's sort of Red Hat and us, they're the only two companies who are doing Kubernetes scales. It's not any of these endpoint players who understand containers. So Kubernetes, VMware's got an incredible brand and relevance and knowledge there. The networking part of it, service mesh, which is kind of a key component also to this. We've been working with Google and others like Istio in service mesh, we got a lot of IP there that the traditional endpoint players, Symantec, McAfee, Trend, CrowdStrike, don't know either Kubernetes or service mesh well. We add now container security into this, we really distinguish ourselves further from the traditional endpoint players with bringing together, not just the endpoint platform that can do containers, but also Kubernetes service mesh. So why is that important? As people think about their future in containers, they'll want to do this at the runtime level, not at the static level. They'll want to do it at build time And they'll want to have it integrated with some of their networking capabilities like service mesh. Who better to think about that IP and that evolution than VMware, and now we bring, I think it's 12 to 14 people we're bringing in from this acquisition. Several of them in Israel, some of them here in Palo Alto, and they will build that platform into the tech that VMware has onto the Carbon Black cloud and we will deliver that this year. It's not going to be years from now. >> Did you guys talk about the-- >> Our capability, and then we can bring the best of Carbon Black, with Tanzu, service mesh, and even future innovation, like, for example, there's a big movement going around, this thing call open policy agent OPA, which is an open source effort around policy management. You should expect us to embrace that, there could be aspects of OPA that also play into the future of this container security movement, so I think this is a really great move for Patrick and his team, I'm very excited. Patrick is the CEO of Carbon Black and the leader of that security business unit, and he came to me and said, "Listen, one of the areas "we need to move in is container security "because it's the number one request I'm hearing "from our CESOs and customers." I said, "Go ahead Patrick. "Find out who are the best player you could acquire, "but you have to triangulate that strategy "with the Tanzu team and the NSX team, "and when you have a unified strategy what we should go, "we'll go an make the right acquisition." And I'm proud of what he was able to announce today. >> And I noticed you guys on the release didn't talk about the acquisition amount. Was it not material, was it a small amount? >> No, we don't disclose small, it's a tuck-in acquisition. You should think of this as really bringing us some tech and some talent, and being able to build that into the core of the platform of Carbon Black. Carbon Black was the real big move we made. Usually what we do, you saw this with AirWatch, right, anchor on a fairly big move. We paid I think 2.1 billion for Carbon Black, and then build and build and build on top of that, partner very heavily, we didn't talk about that. If there's time we could talk about it. We announced today a security alliance with top SIEM players, in what's called a sock alliance. Who's announced in there? Splunk, IBM QRadar, Google Chronicle, Sumo Logic, and Exabeam, five of the biggest SIEM players are embracing VMware in endpoint security, saying, Carbon Black is who we want to work with. Nobody else has that type of partnership, so build, partner, and then buy. But buy is always very carefully thought through, we're not one of these companies like CA of the past that just bought every company and then it becomes a graveyard of dead acquisition. Our view is we're very disciplined about how we think about acquisition. Acquisitions for us are often the last resort, because we'd prefer to build and partner. But sometimes for time-to-market reasons, we acquire, and when we acquire, it's thoughtful, it's well-organized within VMware, and we take care of our people, 'cause we want, I mean listen, why do acquisitions fail? Because the good people leave. So we're excited about this team, the team in Israel, and the team in Palo Alto, they come from Octarine. We're going to integrate them rapidly into the platform, and this is a good evidence of VMware investing more in security, and our Q3 earnings pulled, John, I said, sorry, we said that the security business was a billion dollar business at VMware already, primarily from network, but some from endpoint. This is evidence of us putting more fuel behind that fire. It's only been six, seven months and Patrick's made his first acquisition inside Carbon Black, so you're going to see us investing more in security, it's an important priority for the company, and I expect us to be a very prominent player in these three pillars, network security, endpoint security, endpoint is both client and the workload, and cloud. Network, endpoint, cloud, they are the three areas where we think there's lots of room for innovation in security. >> Well, we'll be watching, we'll be reporting and analyzing the moves. Great playbook, by the way. Love that organic partnering and then key acquisitions which you build around, it's a great playbook, I think it's very relevant for this time. The most important question I have to ask you, Sanjay, and this is a personal question, because you're the leader of VMware, I noticed that, we all know you're into music, you've been putting music online, kind of a virtual band. You've also hired a CUBE alumni, Victoria Verango from McAfee who also puts up music, you've got some musicians, but you kind of know how to do the digital moves there, so the question is, will the music at VMworld this year be virtual? >> Oh, man. Victoria is actually an even better musician than me. I'm excited about his marketing gifts, but I'm also excited to watch him. But yeah, you've heard him sing, he's got a voice that's somewhat similar to Sting, so we, just for fun, in our Diwali, which is an Indian celebration last year, Tom Corn, myself, and a wonderful lady named Divya, who's got a beautiful voice, had sung a song, which was off the soundtrack of the Bollywood movie, "Secret Superstar," and we just for fun decided to record that in our three separate homes, and put that out on YouTube. You can listen, it's just a two or three-minute run, and it kind of went a little bit viral. And I was thinking to myself, hey, if this is one way by which we can let the VMware community know that, hey, you know what, art conquers COVID-19, you can do music even socially distant, and bring out the spirit of VMware, which is community. So we might build on that idea, Victoria and I were talking about that last night and saying, hey, maybe we do a virtual music kind of concert of maybe 10 or 15 or 20 voices in the various different countries. Record piece of a song and music and put it out there. I think these are just ways by which we're having fun in a virtual setting where people get to see a different side of VMware where, and the intent here, we're all amateurs, John, we're not like great. There are going to be mistakes in this music. If you listen to that audio, it sounds a little tinny, 'cause we're recording it off our iPhone and our iPad microphone. But we'll do the best we can, the point is just to show the human spirit and to show that we care, and at the end of the day, see, the COVID-19 virus has no prejudice on color of skin, or nationality, or ethnicity. It's affecting the whole world. We all went into the tunnel at different times, we will come out of this tunnel together and we will be a stronger human fabric when we're done with this, We shall absolutely overcome. >> Sanjay, give us a quick update to end the segment on your thoughts around VMworld. It's one of the biggest events, we look forward to it. It's the only even left standing that theCUBE's been to every year of theCUBE's existence, we're looking forward to being part of theCUBE virtual. It's been announced it's virtual. What are some of the thinking going on at the highest levels within the VMware community around how you're going to handle VMworld this year? >> Listen, when we began to think about it, we had to obviously give our customers and folks enough notice, so we didn't want to just spring that sometime this summer. So we decided to think through it carefully. I asked Robin, our CMO, to talk to many of the other CMOs in the industry. Good news is all of these are friends of ours, Amazon, Microsoft, Google, Salesforce, Adobe, and even some smaller companies, IBM did theirs. And if they were in the first half of the year, they had to go virtual 'cause we're sheltered in place, and IBM did theirs, Okta did theirs, and we began to watch how they were doing this. We're kind of in the second half, because we were August, September, and we just sensed a lot of hesitancy from our customers that wanted to get on a plane to come here, and even if we got just 500, 1,000, a few thousand, it wasn't going to be the same and there would always be that sort of, even if we were getting back to that, some worry, so we figured we'd do something that might be semi-digital, and we may have some people that roam, but the bulk of it is going to be digital, and we changed the dates to be a little later. I think it's September 20th to 29th. Right now it's all public now, we announced that, and we're going to make it a great program. In some senses like we're becoming TV producer. I told our team we got to be like Disney or ESPN or whoever your favorite show is, YouTube, and produce a really good several-hour program that has got a different way in which digital content is provided, smaller snippets, very interesting speakers, great brand names, make the content clear, crisp and compelling. And if we do that, this will be, I don't know, maybe it's the new norm for some period of time, or it might be forever, I don't know. >> John: We're all learning. >> In the past we had huge conferences that were busting 50, 70, 100,000 and then after the dot-com era, those all shrunk, they're like smaller conferences, and now with advent of companies like Amazon and Salesforce, we have huge events that, like VMworld, are big events. We may move to a environment that's a lot more digital, I don't know what the future of in-presence physical conferences are, but we, like others, we're working with AWS in terms of their future with Reinvent, what Microsoft's doing with Ignite, what Google's doing with Next, what Salesforce's going to do with Dreamforce, all those four companies are good partners of ours. We'll study theirs, we'll work together as a community, the CMOs of all those companies, and we'll come together with something that's a very good digital experience for our customers, that's really what counts. Today I did a webinar with a partner. Typically when we did a briefing in our briefing center, 20 people came. There're 100 people attending this, I got a lot more participation in this QBR that I did with this SI partner, one of the top SIs in the world, in an online session with them, than would I have gotten if they'd all come to Palo Alto. That's goodness. Should we take the best of that world and some physical presence? Maybe in the future, we'll see how it goes. >> Content quality. You know, you know content. Content quality drives everything online, good engagement creates community, that's a nice flywheel. I think you guys will figure it out, you've got a lot of great minds there, and of course, theCUBE virtual will be helping out as we can, and we're rethinking things too-- >> We count on that, John-- >> We're going to be open minded to new ideas, and, hey, whatever's the best content we can deliver, whether it's CUBE, or with you guys, or whoever, we're looking forward to it. Sanjay, thanks for spending the time on this CUBE Keynote coverage of AWS Summit. Since it's digital we can do longer programs, we can do more diverse content. We got great customer practitioners coming up, talking about their journey, their innovation strategies. Sanjay Poonen, COO of VMware, thank you for taking your precious time out of your day today. >> Thank you, John, always a pleasure. >> Thank you. Okay, more CUBE, virtual CUBE digital coverage of AWS Summit 2020, theCUBE.net is we're streaming, and of course, tons of videos on innovation, DevOps, and more, scaling cloud, scaling on-premise hybrid cloud, and more. We got great interviews coming up, stay with us our all-day coverage. I'm John Furrier, thanks for watching. (upbeat music)

Published Date : May 13 2020

SUMMARY :

leaders all around the world, all around the world, This is the new reality. and I'm going to move and the next thing we began doing and I got to put it into action fast. and all the wonderful art. You need the alliances to be successful, and began to build a and then the roads to take? and then of course to So maybe we can get you and then be able to teach in some fashion. to be a line in the sand, part of the reason we and the leader of that didn't talk about the acquisition amount. and the team in Palo Alto, I have to ask you, Sanjay, and to show that we care, standing that theCUBE's been to but the bulk of it is going to be digital, In the past we had huge conferences and we're rethinking things too-- We're going to be and of course, tons of

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Jeremy Burton, Observe Inc. | CUBE Conversation, April 2020


 

>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Everybody, welcome to this CUBE conversation. I'm John Furrier, host of theCUBE here in Palo Alto, California in our studios where we have a quarantine crew and we're doing remote interviews with thought leaders in the industry and people who have been around the block, beat it through three industry cycles but also can share their perspectives on the COVID-19 situation that we're in, the challenges and the opportunities. And I have with me, Jeremy Burton, a good friend of theCUBE. Have been a CUBE alumni now for 10 years, now the CEO of Observe, it's a stealth startup. I got a little taste of it, it's a Cloud thing. It's going to be part of this whole new guard. Jeremy, great to see you. You're sheltering in place, we're sheltering in the studio. Thanks for joining me. >> No, thanks for the offer. I mean, it's funny these days I welcome chance to actually speak to somebody and particularly, somebody that's not at Observe. So this is a rare treat in the last three weeks. >> Telling the wife and kids, "Hey, I'm going to go talk to theCUBE guy." So you know, I'm going to have some fun for a while. Look, I want to just have a candid fun conversation 'cause I think one of the things that's interesting to me in one, things that we're spending a lot of time doing media on is getting the word out about some of the things that are going on. People do have anxiety, they're sheltering in place for the folks that've been in the tech industry, working at home and being virtual has been part of the thing. It's not a big thing but from some of the people it's like a first time thing. And also it's also highlighting a disruption that kind of is off the books if you will, the classic continuous operations and disaster recovery was also confined to power outages or hurricanes or all those things that we people are protected against. But this is just a surge of the herd of the people going home. It's causing an at scale problem and showing these challenges, but there's also opportunities. What's your take on this? How do you see this evolving? What's your view of the current situation and some of the comments? >> Yeah, I think for most of us we're in a little bit unchartered territory. I don't really know a whole lot about medicine or the details of the virus or how pandemics happen. But we obviously have to, we deal with the consequences of it. And so I think right now although, I think it's a fairly bad situation for a lot of people, just having been through a couple of recessions where we all went through 9/11. The world does turn around and you come out the other side. And so the key thing is you start like a very much as a cliche, but you've got to live in the moment, "What can I do right now? "What can I affect right now? "How can I make sure that what I'm working on "is a value for when we come out the other side "and when more curveballs come along?" I think you've got a reason about that with the best information you have at the time. So I almost feel like you very much, you've got to just live solid like day to day, week to week, listen to the data and adapt based on that. But it's certainly starting to reinvent how work is done. I think we've all worked from home at some point. We've all worked using our equipment at home. But the prospect of working that way for months on end and it maybe been the new way of working, is a whole new ballgame. So I'm a big believer that this will fundamentally change the way we work. I don't think we're going to go 100% back to the way that we were, and there's going to be quite a lot of readjustments, and I think in that world, there's going to be some new companies come along that are big winners. And by definition, there's going to be some big losers as well. >> Well, people who know theCUBE know that I'm a big fan of you as an executive. I've seen the vision, you have also great technical shops and product shops, but also a good operational view. You've always been a fan of digital. And I think if you look at video conferencing, for instance, WebEx as a Cisco thing, great bulletproof of the enterprise, but Zoom has come across the scene. I've never seen so many Zoom parties. I did one with my family that they actually liked it. They were having fun. We had cocktails raising the wineglasses up. So people are Zooming their CUBE in, we're doing interviews. So video now is not just a corporate thing. You're seeing the engagement of digital taking on a new life and this is a whole new roles and responsibilities that we might reimagine how people do their business because with the events being canceled that are going on, whether they're concerts or just industry or tech events or any event, that physical space is gone, now it's going to digital. So how do you replicate the business value or personal value from physical face to face to digital? It's a whole new venue, there's new roles. It's complicated, it's a complex system. What's your thought on that? >> It is though, but what I have been pleasantly surprised by, I'd love it going in the office. I love the engagement with people and hanging out in the office. And so I was not really a big fan of remote working and virtually working, but I have to say, not only now where we virtually work in and we do the Zoom meetings and that's all well and good. It's a big cultural thing with at Observe to do a game night. And so we thought, "Well, why can't we do a virtual game night "and lending some trade secrets here? "But our favorite game was Secret Hitler." >> Yeah, that's a great game. One of my family's favorite. >> Turns out there's an online Secret Hitler. And you know what? The first time we played it, one of the nice thing is we've got less than 20 people in the company. So you got 12 or 14 people online. It's actually manageable. But I have to say, I'm almost embarrassed to say, it was almost as good sitting there with a drink playing virtual Secret Hitler as it was sitting around the desk. And so now I'm thinking when we go back to work, maybe we don't need to leave our desks and go have a drink together. We can just sit there on Zoom and play the secret Hitler online. Then you start looking around, "Well, what are the games can I play online?" Not like for one or two players or five players and I'm not talking about playing kind of Halo or something like that, but good collaborative games for tens of people to play at once. There's not as many as you think. So I feel like the social aspect of it, I mean, online gaming I think is huge. But even the video conferencing software, you would have thought that we would be done WebEx by now, right? I mean Skype and WebEx, we've had those for years, right? And so how does Zoom, which does guess what, video conferencing come along and start to clear up. And Zoom is not perfect by the way, but this is almost the crisis that they needed to make a fabulous business. I do believe as we start to come out the other side, I think there's going to be much, much investment in the VC world, on improving that remote work experience Because as much as me and you can talk to a video session, we can't collaborate and work together. The tools for doing that, I think still are relatively poor. >> I think you're onto something. Zoom by the way, had 10 million active dailies in December. This month was 200 million rocket ship. They got 90,000 universities. They essentially made some good moves. I think that's going to be good, but you bring up a good point about these new kinds of opportunities that are going to come out the other side, which is, think about Secret Hitler. For the folks who don't know, is a great game that you play with people, in your family or in friend group like Cards Against Me. And if you know that game, it's a similar thing concept, but you have different games. It's really fun, you should get it. Check it out online. But think about that online gaming or just what engagement means socially. I mean the old web days or just like a couple of months ago was individual engagement, "Did you like my tweet? "Did you like my Facebook post?" You're getting at something that's little bit more of a social organizational construct of group engagement, intimacy. >> Right, and the thing is we would do game night once a month and we'd get videos in and get the teamed together. Once a month was good when everybody had their own life to deal with. Now people are craving like, "Hey can we do this like every week?" And I wouldn't be surprised if the frequency increases from that, but I think that just almost speaks to human beings and that we crave social interaction. And even though most of the people at Observe are engineers and by definition should not enjoy as much social interaction, they do. They love it, right? And to me, that gaming and social direction, that's part of work. And so you have to have a virtual environment that can reproduce that. >> I mean, it's very interesting to see some of the entrepreneurial exercises or pitches that come out of this because I think it's going to be a Renaissance, it's not Renaissance 'cause it's going to come back. It's always been there. But the new kind of entrepreneurial products coming out are going to address these things. And the question I want to ask you, 'cause you've been on the big company, you've done extremely well in your career, than you get back down to your roots to doing startup, you're launching, you haven't yet launched. So you got hit right here, you're working at home sheltering in place. I was talking to a couple of VC buddies, venture capitalists, and they're saying, "I'm reading books and I'm doing research "but I really can't meet people." So their work has changed. How do you see the investment community reacting to this? Certainly valuations might come down. Obviously, their limited partners are being hit with the stock market. You're seeing a disruption. What do you see going on in the VC world around this cold hard time? >> I mean certainly all VCs are not created equal. So I think there's going to be different perspectives based on the background of the DNA of the VC involved. I think certainly at Observe, I feel very fortunate that we've got a sort of Hill Ventures. So these guys were the investors behind Snowflake and behind Pure Storage and many other good companies but they're very longterm investors and their advice to me has been, "Well look, "some of the most innovative times if you like, "have been during and after a major crisis. "And so if you make short term decisions "to get you through those crisis, "they're all terrible but they don't last forever "and there will be another side. "And so make good business decisions "and good investment decisions through this "because there will be winners "that emerge on the other side." And that's really what I try and get the team focused on is, "Guys for now, we're sort of hunkered down "and it feels bad, "but we're probably more privileged than most. "And we have an opportunity maybe on the other side, "to take advantage, we don't have a revenue stream, "we don't have existing customers. "We can sort of take this Greenfield business "that we've got and you go on the offensive "when things returned to assemblance of normal." So The Hill had been fantastic. And I would hope that most VCs retain that perspective, which is if it was a good company three weeks ago, it's probably still a good company today. And the best way to create value is to sort of empower I think the CEOs and executive teams to make the right sort of longer term decisions. Try and capitalize when you come out the other side because there will be losers as well. And I think the wrong decisions now can put you on the losing end of that equation in three, four, five months time. >> Yeah, that's a good point. If you are a good company just a few months ago or even weeks ago or a year ago, you're still a good company. That's really going to be a tell sign to what happens in some of these companies. If I got to ask you a more focused question on this whole, which side of the street are you on? Are you riding the wave or are you going to get taken away and washed away with it? Because there are bets and well, I want to get into Observe in a minute, but you mentioned Snowflake there in the Cloud wave. Obviously, that's pretty bullish. We're still bullish on that. Obviously, it's going to be game changer. But is there a tell sign for the kind of bets that those good management teams need to make now? Because I agree with you, when the Dot-com bubble burst in 2000 and really 2004 kicked back up again. 2008, we saw that post and a lot of great companies were created. So what's your advice on which side of history do you need to be on here? I'll say Cloud is one. What is your view on that? >> Yeah, I mean we felt for many years, it's not just since I went to the startup, but I am a huge believer in this transition to digital businesses. Frictionless interactions, automation, yes, obviously people are required to run a business, but if you could run a business remotely, or the businesses automated in a way such that it doesn't require hands-on operation, then that's a beautiful thing. And my belief is that, this terrible situation will force people to really think seriously about what the digital business looks like. If you don't have one, then that you may not be able to be in business in a year, two, three years down the line, right? There'll be some carryover, but I think the smart businesses are going to be able to function in an environment such as this. >> Yeah, I think that's great. >> That's going to be playing on everybody's minds. Now more than ever, I think that the digital business is a necessity. >> Yeah, I was just talking to a colleague and we were just talking about how all of the events got canceled and you've had the history running some of those best events ever in the industry at EMC. And we participated in those and you know your staff when it comes to events, there's economic value in these physical events as a venue, Science Convention Center in Moscone here in San Francisco. I mean there's a lot of things that go on, a lot of decision-making that's been standardized over the years and there's an economic value that comes out of those events. Now that's gone, and then these little digital teams, some companies have like five people, two people, sometimes maybe if you're lucky you have 10 or more or a department. And then you've got demand generation. All these guys are being told now, "You have to make up for the shortfall "in not just leads but value." And this just has been a big burden for some of my friends out there who are like, "Wait a minute, you want to take that and move it over here?" It's been kind of a challenge. What is your view on this? Because a lot of people are trying to figure this particular problem out on how to make digital work today and have some extensibility and get success. What's your take? >> Well, I'm still a huge believer I mean, whereas sort of like we just saw digital marketing content is still very much King, right? If you can produce a compelling piece of content online, TV quality with a depth of knowledge that you're going to attract an audience, now can you then make that experience interactive? Can you engage the audience in a deeper way? Yeah, you're probably not going to have something which lasts for a full day or for three days online, but I think it's really going to force the creativity on the content side to another level, right? It can't just be talking heads and PowerPoint pictures. So that rethinking from first principles, what an online conference or an online experience actually looks like in a way that it engages the people who are watching. To me, those folks are going to go do very, very well. And the economics, I know how much it costs to put on a conference for 10 or 15,000 people. And by the way, I know how much it costs to put on a virtual event for 10 or 15,000 people. And the economics are astounding in that difference. Now if you're physically somewhere, you can feel things that you can't feel online. Come on though, this is a problem that requires some innovation to solve, right? We've talked about virtual reality and augmented reality, but it's still pretty clunky and relegated to sort of niche use cases and bad games. But at some point, that technology has to reach the point where it can be useful and engage in a new. You can approximate to that physical experience. But I think that is going to be critical but many businesses even beyond sort of marketing and virtual events and that kind of thing, many businesses are just going to have to reinvent how they engage and interact with their customers and the automation of their operations and how do you get by when you don't have as many people physically in an office or operating machines? Everybody's going to have to think through that. >> Yeah, I think that's great insight and that's going to be a great clip that I'll share and I think that's going to be inspirational for the folks trying to solve that problem. The things that we're focused in on, as you know, and this is something that we're doing a lot of work on, is the engagement with groups and you mentioned The Secret Hitler as the game, they're going to see some new clever things go on. And I think the group dynamic and having people in whether it's virtual and physical spaces exchanging credible things, ideas or jokes or whatever is going to be a new kind of dynamic. >> Yeah. >> Because that's going to have to fill the void. >> Yeah, I mean I've got a small company so we can play these individual games, but just think about some of these board type games where I want to have three teams and I want to divide the company up into three. The logistics of actually figuring that out is ridiculous and it shouldn't be that way, right? And so these are basics of human social interactions. We want to play a game together, we want to divide up into teams. But that sounds like a relatively trivial thing, but try and find the number of games available that allow you to easily do that and each team interaction independently of the others, it's almost impossible. >> It's going to be fun to watch and I think and I hope we're going to learn. Well, thanks for the device. Let's get back to your startup. Let's get a plug in for that, I want to get the plug in. I've seen you in stealth so you can't really go into great detail, but you have been talking to customers. You are obviously related, that's related to Snowflake, but you were going to do some things with Snowflake. You're in the Cloud. Can you just take a minute to give a plug for what you guys are doing for the people who want to know what you guys are leaning towards in terms of the value proposition? >> Yeah well, when I look back in my career, one of the times I enjoyed the most was the time at Oracle and working with data. And I've been fortunate enough for the last four and a half years or so to be on the board of Snowflake. Couple of ex Oracle guys, Benoit and Thierry founded the company and they've reinvented the database. And I felt like I've sat for 20 years looking for the second coming of the database and we all were sort of had fake thinking it was Hadoop. And turns out it wasn't. But I think Snowflake and the separation of storage and compute that allows them to sort of scale and have a usage-based pricing model, I just think is absolutely revolutionary and I think it's going to be one of the great companies of the new era. And so when I was there when I looked at Observe, really the thesis was that using a platform like Snowflake, you could potentially reason about unstructured log data. It's all like Splunk. You could reason about time series data, a little bit like Datadog or tracing data like AppDynamics or in fact any data, you could reason about it together. And today, if you look at the world, it's like if you want to do something with logs, you go get one product. If you want to do something with relational data, you get another, if you want to do time series data, you get another, you want to do tracing, you get an APM tool. And nobody has the big picture, right? Everybody's got their own little piece of data and their own perspective on where the issue might be in your company. But nobody really knows and it's usually put together in the brain of, of the smartest guy in the room. And so I thought it was quite simple. At Snowflake, you've got this commercial database that can do instruction data and time series data and relational data. And what if we could collect all data within an organization together, structure it, relate it, and then imagine what you could find out about your infrastructure, your applications, your business? >> Sort of unification? Does it have like unification kind of concept for users or IT? >> Yeah, I think the emerging category would be observability but it really is a collapsing of log analytics, metrics monitoring and tracing into this new category of observability. We don't necessarily just view that though as sort of data coming out of Kubernetes clusters or out of AWS or wherever. We actually could ingest security data. We could ingest data from people surfing using your app or surfing your website. We could take logs coming out of machines on a factory floor. So the way we built the product, it can be literally any kind of data. And we try and structure it and relate it and make sense of it and then make it very easy for people to navigate through it and determine issues and problems. So yeah, we're pretty excited about it. And like I said, we could not have built this even a couple of years ago because I don't think Snowflake would have been there. And in fact, that was one of the big risks when we started the company. Can we build it on Snowflake? And so here we are two years later and we think we can. Well, we're sure we can do it. >> Yeah, they've had a good run too. I mean, look at the growth of Snowflake. >> Yeah, it's crazy. I've never seen anything like it and in the last 20 years and B2B, I've never seen anything like it. So just like I felt in the mid 90s when I was at Oracle, people were making decisions to go with Oracle and then saying, "Hey, help me get all of my other data in that, "my mainframe data, my this, my that." I think Snowflake are going to go through the same sort of growth phase and hopefully with Observe, we can be like, "Hey, if you want to put "your unstructured data or time series data, "we can help you do that very easily." >> Well, this is exactly the current wave that you want to be on the right side of because like you said, just a year or so ago or a couple of years ago, it wasn't available. This is kind of the new capabilities. >> Yeah, I feel like there's going to be a lot of businesses, grow ridiculously. You talked about the Zoom numbers. These are ridiculous growth numbers and there are going to be companies come out the other side that take advantage of the new environment. And as they're growing, as they're scaling, as they build these new microservice-based applications, they're going to run into issues and we hope at least that it's products with our kind of architecture, that's going to be able to help these fast-growing businesses. So yeah, as I said, we're somewhat fortunate in that we don't have a product yet, but certainly on the other side of this, we think there's going to be plenty of opportunity to help a few folks. >> We know you got to do a launch and we're looking forward to hearing more and getting the briefing, and looking forward to hearing more about it when you go public. And yeah, thanks for coming on and taking the time today. I know you got your daughter's birthday party there and you're going to have some celebration. Thank you for sharing the insights on your vision of digital. I thought that was very compelling and great to see you and stay safe. >> Great to see you. Yeah, my 18-year-old, it's got a birthday party and she like always would worry, "What if no one shows up?" Well, today she knows no one's going to show up. >> Except for her family, yeah. >> It's going to be down in the family, yeah. So thanks for that and you guys stay safe and been great the last 10 years knowing theCUBE been that long but hopefully, here is the next 10 years after this current situation is over. >> Yeah, looking forward to it, it's going to be a lot of fun rye and get the content out there. And again, thanks for coming on during this important time and sharing your insights and also just making some entertainment here. We're getting some conversations so people can fill the void and play some games and have some fun. Jeremy, thanks. Great to see you. Jeremy Burton, senior executive in the industry. I've known him for years, been a CUBE alumni since theCUBE was formed. Now the CEO of Observe, sharing his insights on the industry but more importantly, how to be successful, how to come out the other side. Don't be too optimistic. Be focused on today and get through it. That's his advice. Of course, we're theCUBE bringing you all the data as we can now with remote interviews during this time. Thanks for watching, I'm John furrier. (soft music)

Published Date : Apr 3 2020

SUMMARY :

connecting with thought leaders all around the world, It's going to be part of this whole new guard. No, thanks for the offer. that kind of is off the books if you will, And so the key thing is you start like a very much And I think if you look at video conferencing, and hanging out in the office. Yeah, that's a great game. I think there's going to be much, much investment I think that's going to be good, And so you have to have a virtual environment because I think it's going to be a Renaissance, "some of the most innovative times if you like, If I got to ask you a more focused question on this whole, but I think the smart businesses are going to be able That's going to be playing And we participated in those and you know your staff But I think that is going to be critical and I think that's going to be inspirational and each team interaction independently of the others, It's going to be fun to watch and I think it's going to be one of the great companies So the way we built the product, I mean, look at the growth of Snowflake. I think Snowflake are going to go through the same This is kind of the new capabilities. and there are going to be companies come out the other side and great to see you Great to see you. So thanks for that and you guys stay safe on the industry but more importantly, how to be successful,

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Jeremy Burton, Observe Inc. | CUBE Conversation, April 2020


 

>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Everybody, welcome to this CUBE conversation. I'm John Furrier, host of theCUBE here in Palo Alto, California in our studios where we have a quarantine crew and we're doing remote interviews with thought leaders in the industry and people who have been around the block, beat it through three industry cycles but also can share their perspectives on the COVID-19 situation that we're in, the challenges and the opportunities. And I have with me, Jeremy Burton, a good friend of theCUBE. Have been a CUBE alumni now for 10 years, now the CEO of Observe, it's a stealth startup. I got a little taste of it, it's a Cloud thing. It's going to be part of this whole new guard. Jeremy, great to see you. You're sheltering in place, we're sheltering in the studio. Thanks for joining me. >> No, thanks for the offer. I mean, it's funny these days I welcome chance to actually speak to somebody and particularly, somebody that's not at Observe. So this is a rare treat in the last three weeks. >> Telling the wife and kids, "Hey, I'm going to go talk to theCUBE guy." So you know, I'm going to have some fun for a while. Look, I want to just have a candid fun conversation 'cause I think one of the things that's interesting to me in one, things that we're spending a lot of time doing media on is getting the word out about some of the things that are going on. People do have anxiety, they're sheltering in place for the folks that've been in the tech industry, working at home and being virtual has been part of the thing. It's not a big thing but from some of the people it's like a first time thing. And also it's also highlighting a disruption that kind of is off the books if you will, the classic continuous operations and disaster recovery was also confined to power outages or hurricanes or all those things that we people are protected against. But this is just a surge of the herd of the people going home. It's causing an at scale problem and showing these challenges, but there's also opportunities. What's your take on this? How do you see this evolving? What's your view of the current situation and some of the comments? >> Yeah, I think for most of us we're in a little bit unchartered territory. I don't really know a whole lot about medicine or the details of the virus or how pandemics happen. But we obviously have to, we deal with the consequences of it. And so I think right now although, I think it's a fairly bad situation for a lot of people, just having been through a couple of recessions where we all went through 9/11. The world does turn around and you come out the other side. And so the key thing is you start like a very much as a cliche, but you've got to live in the moment, "What can I do right now? "What can I affect right now? "How can I make sure that what I'm working on "is a value for when we come out the other side "and when more curveballs come along?" I think you've got a reason about that with the best information you have at the time. So I almost feel like you very much, you've got to just live solid like day to day, week to week, listen to the data and adapt based on that. But it's certainly starting to reinvent how work is done. I think we've all worked from home at some point. We've all worked using our equipment at home. But the prospect of working that way for months on end and it maybe been the new way of working, is a whole new ballgame. So I'm a big believer that this will fundamentally change the way we work. I don't think we're going to go 100% back to the way that we were, and there's going to be quite a lot of readjustments, and I think in that world, there's going to be some new companies come along that are big winners. And by definition, there's going to be some big losers as well. >> Well, people who know theCUBE know that I'm a big fan of you as an executive. I've seen the vision, you have also great technical shops and product shops, but also a good operational view. You've always been a fan of digital. And I think if you look at video conferencing, for instance, WebEx as a Cisco thing, great bulletproof of the enterprise, but Zoom has come across the scene. I've never seen so many Zoom parties. I did one with my family that they actually liked it. They were having fun. We had cocktails raising the wineglasses up. So people are Zooming their CUBE in, we're doing interviews. So video now is not just a corporate thing. You're seeing the engagement of digital taking on a new life and this is a whole new roles and responsibilities that we might reimagine how people do their business because with the events being canceled that are going on, whether they're concerts or just industry or tech events or any event, that physical space is gone, now it's going to digital. So how do you replicate the business value or personal value from physical face to face to digital? It's a whole new venue, there's new roles. It's complicated, it's a complex system. What's your thought on that? >> It is though, but what I have been pleasantly surprised by, I'd love it going in the office. I love the engagement with people and hanging out in the office. And so I was not really a big fan of remote working and virtually working, but I have to say, not only now where we virtually work in and we do the Zoom meetings and that's all well and good. It's a big cultural thing with at Observe to do a game night. And so we thought, "Well, why can't we do a virtual game night "and lending some trade secrets here? "But our favorite game was Secret Hitler." >> Yeah, that's a great game. One of my family's favorite. >> Turns out there's an online Secret Hitler. And you know what? The first time we played it, one of the nice thing is we've got less than 20 people in the company. So you got 12 or 14 people online. It's actually manageable. But I have to say, I'm almost embarrassed to say, it was almost as good sitting there with a drink playing virtual Secret Hitler as it was sitting around the desk. And so now I'm thinking when we go back to work, maybe we don't need to leave our desks and go have a drink together. We can just sit there on Zoom and play the secret Hitler online. Then you start looking around, "Well, what are the games can I play online?" Not like for one or two players or five players and I'm not talking about playing kind of Halo or something like that, but good collaborative games for tens of people to play at once. There's not as many as you think. So I feel like the social aspect of it, I mean, online gaming I think is huge. But even the video conferencing software, you would have thought that we would be done WebEx by now, right? I mean Skype and WebEx, we've had those for years, right? And so how does Zoom, which does guess what, video conferencing come along and start to clear up. And Zoom is not perfect by the way, but this is almost the crisis that they needed to make a fabulous business. I do believe as we start to come out the other side, I think there's going to be much, much investment in the VC world, on improving that remote work experience Because as much as me and you can talk to a video session, we can't collaborate and work together. The tools for doing that, I think still are relatively poor. >> I think you're onto something. Zoom by the way, had 10 million active dailies in December. This month was 200 million rocket ship. They got 90,000 universities. They essentially made some good moves. I think that's going to be good, but you bring up a good point about these new kinds of opportunities that are going to come out the other side, which is, think about Secret Hitler. For the folks who don't know, is a great game that you play with people, in your family or in friend group like Cards Against Me. And if you know that game, it's a similar thing concept, but you have different games. It's really fun, you should get it. Check it out online. But think about that online gaming or just what engagement means socially. I mean the old web days or just like a couple of months ago was individual engagement, "Did you like my tweet? "Did you like my Facebook post?" You're getting at something that's little bit more of a social organizational construct of group engagement, intimacy. >> Right, and the thing is we would do game night once a month and we'd get videos in and get the teamed together. Once a month was good when everybody had their own life to deal with. Now people are craving like, "Hey can we do this like every week?" And I wouldn't be surprised if the frequency increases from that, but I think that just almost speaks to human beings and that we crave social interaction. And even though most of the people at Observe are engineers and by definition should not enjoy as much social interaction, they do. They love it, right? And to me, that gaming and social direction, that's part of work. And so you have to have a virtual environment that can reproduce that. >> I mean, it's very interesting to see some of the entrepreneurial exercises or pitches that come out of this because I think it's going to be a Renaissance, it's not Renaissance 'cause it's going to come back. It's always been there. But the new kind of entrepreneurial products coming out are going to address these things. And the question I want to ask you, 'cause you've been on the big company, you've done extremely well in your career, than you get back down to your roots to doing startup, you're launching, you haven't yet launched. So you got hit right here, you're working at home sheltering in place. I was talking to a couple of VC buddies, venture capitalists, and they're saying, "I'm reading books and I'm doing research "but I really can't meet people." So their work has changed. How do you see the investment community reacting to this? Certainly valuations might come down. Obviously, their limited partners are being hit with the stock market. You're seeing a disruption. What do you see going on in the VC world around this cold hard time? >> I mean certainly all VCs are not created equal. So I think there's going to be different perspectives based on the background of the DNA of the VC involved. I think certainly at Observe, I feel very fortunate that we've got a sort of Hill Ventures. So these guys were the investors behind Snowflake and behind Pure Storage and many other good companies but they're very longterm investors and their advice to me has been, "Well look, "some of the most innovative times if you like, "have been during and after a major crisis. "And so if you make short term decisions "to get you through those crisis, "they're all terrible but they don't last forever "and there will be another side. "And so make good business decisions "and good investment decisions through this "because there will be winners "that emerge on the other side." And that's really what I try and get the team focused on is, "Guys for now, we're sort of hunkered down "and it feels bad, "but we're probably more privileged than most. "And we have an opportunity maybe on the other side, "to take advantage, we don't have a revenue stream, "we don't have existing customers. "We can sort of take this Greenfield business "that we've got and you go on the offensive "when things returned to assemblance of normal." So The Hill had been fantastic. And I would hope that most VCs retain that perspective, which is if it was a good company three weeks ago, it's probably still a good company today. And the best way to create value is to sort of empower I think the CEOs and executive teams to make the right sort of longer term decisions. Try and capitalize when you come out the other side because there will be losers as well. And I think the wrong decisions now can put you on the losing end of that equation in three, four, five months time. >> Yeah, that's a good point. If you are a good company just a few months ago or even weeks ago or a year ago, you're still a good company. That's really going to be a tell sign to what happens in some of these companies. If I got to ask you a more focused question on this whole, which side of the street are you on? Are you riding the wave or are you going to get taken away and washed away with it? Because there are bets and well, I want to get into Observe in a minute, but you mentioned Snowflake there in the Cloud wave. Obviously, that's pretty bullish. We're still bullish on that. Obviously, it's going to be game changer. But is there a tell sign for the kind of bets that those good management teams need to make now? Because I agree with you, when the Dot-com bubble burst in 2000 and really 2004 kicked back up again. 2008, we saw that post and a lot of great companies were created. So what's your advice on which side of history do you need to be on here? I'll say Cloud is one. What is your view on that? >> Yeah, I mean we felt for many years, it's not just since I went to the startup, but I am a huge believer in this transition to digital businesses. Frictionless interactions, automation, yes, obviously people are required to run a business, but if you could run a business remotely, or the businesses automated in a way such that it doesn't require hands-on operation, then that's a beautiful thing. And my belief is that, this terrible situation will force people to really think seriously about what the digital business looks like. If you don't have one, then that you may not be able to be in business in a year, two, three years down the line, right? There'll be some carryover, but I think the smart businesses are going to be able to function in an environment such as this. >> Yeah, I think that's great. >> That's going to be playing on everybody's minds. Now more than ever, I think that the digital business is a necessity. >> Yeah, I was just talking to a colleague and we were just talking about how all of the events got canceled and you've had the history running some of those best events ever in the industry at EMC. And we participated in those and you know your staff when it comes to events, there's economic value in these physical events as a venue, Science Convention Center in Moscone here in San Francisco. I mean there's a lot of things that go on, a lot of decision-making that's been standardized over the years and there's an economic value that comes out of those events. Now that's gone, and then these little digital teams, some companies have like five people, two people, sometimes maybe if you're lucky you have 10 or more or a department. And then you've got demand generation. All these guys are being told now, "You have to make up for the shortfall "in not just leads but value." And this just has been a big burden for some of my friends out there who are like, "Wait a minute, you want to take that and move it over here?" It's been kind of a challenge. What is your view on this? Because a lot of people are trying to figure this particular problem out on how to make digital work today and have some extensibility and get success. What's your take? >> Well, I'm still a huge believer I mean, whereas sort of like we just saw digital marketing content is still very much King, right? If you can produce a compelling piece of content online, TV quality with a depth of knowledge that you're going to attract an audience, now can you then make that experience interactive? Can you engage the audience in a deeper way? Yeah, you're probably not going to have something which lasts for a full day or for three days online, but I think it's really going to force the creativity on the content side to another level, right? It can't just be talking heads and PowerPoint pictures. So that rethinking from first principles, what an online conference or an online experience actually looks like in a way that it engages the people who are watching. To me, those folks are going to go do very, very well. And the economics, I know how much it costs to put on a conference for 10 or 15,000 people. And by the way, I know how much it costs to put on a virtual event for 10 or 15,000 people. And the economics are astounding in that difference. Now if you're physically somewhere, you can feel things that you can't feel online. Come on though, this is a problem that requires some innovation to solve, right? We've talked about virtual reality and augmented reality, but it's still pretty clunky and relegated to sort of niche use cases and bad games. But at some point, that technology has to reach the point where it can be useful and engage in a new. You can approximate to that physical experience. But I think that is going to be critical but many businesses even beyond sort of marketing and virtual events and that kind of thing, many businesses are just going to have to reinvent how they engage and interact with their customers and the automation of their operations and how do you get by when you don't have as many people physically in an office or operating machines? Everybody's going to have to think through that. >> Yeah, I think that's great insight and that's going to be a great clip that I'll share and I think that's going to be inspirational for the folks trying to solve that problem. The things that we're focused in on, as you know, and this is something that we're doing a lot of work on, is the engagement with groups and you mentioned The Secret Hitler as the game, they're going to see some new clever things go on. And I think the group dynamic and having people in whether it's virtual and physical spaces exchanging credible things, ideas or jokes or whatever is going to be a new kind of dynamic. >> Yeah. >> Because that's going to have to fill the void. >> Yeah, I mean I've got a small company so we can play these individual games, but just think about some of these board type games where I want to have three teams and I want to divide the company up into three. The logistics of actually figuring that out is ridiculous and it shouldn't be that way, right? And so these are basics of human social interactions. We want to play a game together, we want to divide up into teams. But that sounds like a relatively trivial thing, but try and find the number of games available that allow you to easily do that and each team interaction independently of the others, it's almost impossible. >> It's going to be fun to watch and I think and I hope we're going to learn. Well, thanks for the device. Let's get back to your startup. Let's get a plug in for that, I want to get the plug in. I've seen you in stealth so you can't really go into great detail, but you have been talking to customers. You are obviously related, that's related to Snowflake, but you were going to do some things with Snowflake. You're in the Cloud. Can you just take a minute to give a plug for what you guys are doing for the people who want to know what you guys are leaning towards in terms of the value proposition? >> Yeah well, when I look back in my career, one of the times I enjoyed the most was the time at Oracle and working with data. And I've been fortunate enough for the last four and a half years or so to be on the board of Snowflake. Couple of ex Oracle guys, Benoit and Thierry founded the company and they've reinvented the database. And I felt like I've sat for 20 years looking for the second coming of the database and we all were sort of had fake thinking it was Hadoop. And turns out it wasn't. But I think Snowflake and the separation of storage and compute that allows them to sort of scale and have a usage-based pricing model, I just think is absolutely revolutionary and I think it's going to be one of the great companies of the new era. And so when I was there when I looked at Observe, really the thesis was that using a platform like Snowflake, you could potentially reason about unstructured log data. It's all like Splunk. You could reason about time series data, a little bit like Datadog or tracing data like AppDynamics or in fact any data, you could reason about it together. And today, if you look at the world, it's like if you want to do something with logs, you go get one product. If you want to do something with relational data, you get another, if you want to do time series data, you get another, you want to do tracing, you get an APM tool. And nobody has the big picture, right? Everybody's got their own little piece of data and their own perspective on where the issue might be in your company. But nobody really knows and it's usually put together in the brain of, of the smartest guy in the room. And so I thought it was quite simple. At Snowflake, you've got this commercial database that can do instruction data and time series data and relational data. And what if we could collect all data within an organization together, structure it, relate it, and then imagine what you could find out about your infrastructure, your applications, your business? >> Sort of unification? Does it have like unification kind of concept for users or IT? >> Yeah, I think the emerging category would be observability but it really is a collapsing of log analytics, metrics monitoring and tracing into this new category of observability. We don't necessarily just view that though as sort of data coming out of Kubernetes clusters or out of AWS or wherever. We actually could ingest security data. We could ingest data from people surfing using your app or surfing your website. We could take logs coming out of machines on a factory floor. So the way we built the product, it can be literally any kind of data. And we try and structure it and relate it and make sense of it and then make it very easy for people to navigate through it and determine issues and problems. So yeah, we're pretty excited about it. And like I said, we could not have built this even a couple of years ago because I don't think Snowflake would have been there. And in fact, that was one of the big risks when we started the company. Can we build it on Snowflake? And so here we are two years later and we think we can. Well, we're sure we can do it. >> Yeah, they've had a good run too. I mean, look at the growth of Snowflake. >> Yeah, it's crazy. I've never seen anything like it and in the last 20 years and B2B, I've never seen anything like it. So just like I felt in the mid 90s when I was at Oracle, people were making decisions to go with Oracle and then saying, "Hey, help me get all of my other data in that, "my mainframe data, my this, my that." I think Snowflake are going to go through the same sort of growth phase and hopefully with Observe, we can be like, "Hey, if you want to put "your unstructured data or time series data, "we can help you do that very easily." >> Well, this is exactly the current wave that you want to be on the right side of because like you said, just a year or so ago or a couple of years ago, it wasn't available. This is kind of the new capabilities. >> Yeah, I feel like there's going to be a lot of businesses, grow ridiculously. You talked about the Zoom numbers. These are ridiculous growth numbers and there are going to be companies come out the other side that take advantage of the new environment. And as they're growing, as they're scaling, as they build these new microservice-based applications, they're going to run into issues and we hope at least that it's products with our kind of architecture, that's going to be able to help these fast-growing businesses. So yeah, as I said, we're somewhat fortunate in that we don't have a product yet, but certainly on the other side of this, we think there's going to be plenty of opportunity to help a few folks. >> We know you got to do a launch and we're looking forward to hearing more and getting the briefing, and looking forward to hearing more about it when you go public. And yeah, thanks for coming on and taking the time today. I know you got your daughter's birthday party there and you're going to have some celebration. Thank you for sharing the insights on your vision of digital. I thought that was very compelling and great to see you and stay safe. >> Great to see you. Yeah, my 18-year-old, it's got a birthday party and she like always would worry, "What if no one shows up?" Well, today she knows no one's going to show up. >> Except for her family, yeah. >> It's going to be down in the family, yeah. So thanks for that and you guys stay safe and been great the last 10 years knowing theCUBE been that long but hopefully, here is the next 10 years after this current situation is over. >> Yeah, looking forward to it, it's going to be a lot of fun rye and get the content out there. And again, thanks for coming on during this important time and sharing your insights and also just making some entertainment here. We're getting some conversations so people can fill the void and play some games and have some fun. Jeremy, thanks. Great to see you. Jeremy Burton, senior executive in the industry. I've known him for years, been a CUBE alumni since theCUBE was formed. Now the CEO of Observe, sharing his insights on the industry but more importantly, how to be successful, how to come out the other side. Don't be too optimistic. Be focused on today and get through it. That's his advice. Of course, we're theCUBE bringing you all the data as we can now with remote interviews during this time. Thanks for watching, I'm John furrier. (soft music)

Published Date : Apr 2 2020

SUMMARY :

connecting with thought leaders all around the world, It's going to be part of this whole new guard. No, thanks for the offer. that kind of is off the books if you will, And so the key thing is you start like a very much And I think if you look at video conferencing, and hanging out in the office. Yeah, that's a great game. I think there's going to be much, much investment I think that's going to be good, And so you have to have a virtual environment because I think it's going to be a Renaissance, "some of the most innovative times if you like, If I got to ask you a more focused question on this whole, but I think the smart businesses are going to be able That's going to be playing And we participated in those and you know your staff But I think that is going to be critical and I think that's going to be inspirational and each team interaction independently of the others, It's going to be fun to watch and I think it's going to be one of the great companies So the way we built the product, I mean, look at the growth of Snowflake. I think Snowflake are going to go through the same This is kind of the new capabilities. and there are going to be companies come out the other side and great to see you Great to see you. So thanks for that and you guys stay safe on the industry but more importantly, how to be successful,

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Scott Hunter, AstraZeneca | Commvault GO 2019


 

>>live from Denver, Colorado. It's the Q covering com vault. Go 2019. Brought to you by combo. >>Welcome to the Cube. Lisa Martin with student A man we're covering Day one of convo go 19 from Colorado. Stew and I are pleased to welcome to the Cube one of combo longtime customers from AstraZeneca. We have Scott 100 global infrastructure surfaces. Director. Hey, Scott. >>Good afternoon. >>Good afternoon. Welcome to the Cube. AstraZeneca is a name that probably a lot of folks know in the bio medical pharmaceutical space. But for those that don't give us an overview of AstraZeneca. What you guys are what you d'oh! >>Obviously we're we're, ah, bio pharmaceutical company with global presence way be used. The primary care takes off. Medicines be sale throughout the world. So everything from Kearney care to tiu oncology onda also are massive. That diabetes franchise, as well as other core core therapies that are used by our patients, were like, >>All right, So, Scott, maybe bring us inside. What is data mean to your organization? >>And it means loss. Lots of things taxes and cut through our organization from go boat framed in that next molecules to discover them bleeding edge medicines for our patients all the way to have our sales People commercial use data to identify the patients for further rate kid as well and ofcourse, backoffice tree I t enabling functions like each HR and finances. Well, therefore, is this apartment for business >>you've got Global infrastructure service could just lay out a little bit what that entails and how data fits into the picture, what's in your purview and what you have to work with other groups on. >>So my idea looks after architecture, designing governance and for cyber security infrastructure, savage seas, AstraZeneca. So So we be like after within either on premise within their own try our own data centers are in the public load as well. So as you can imagine, their movement on Deron realms and that can environment is pivotal to the coming been successful go forward >>when every time we, you know, you talk about data being the life blood of an organization or the new oil when we're talking about a patient information and the information that could be used to find the next, you know, cure for a particular disease, this it's this is literally life and death data on the ability to have access to it, but also to make sure that it's protected and secure table stakes. Right, so talk to us about when you came on board, he said. Around six years ago, before we went live knowing how critical data is toe AstraZeneca's business, What was the data strategy like a few years ago? >>It was pretty convoluted six years ago when am I fought during the actual Danica over largely exhaust to various companies? So their strategy basically that have one. We don't really have much of a strategy for looking after our deal with five or six different backup products, but then the cinnamon on lane their storage products is now. So over the last 56 years, can stealing that down to one key data storage provider in the APP and also for backup from the store combo. We do still have some leg. It's a very fast environments, but they're being decommissioned. That moved over combo. I speak >>from a what can I t. An initial initiative perspective. A few years ago, six years ago, we didn't have a date, a strategy. What was some of the you know from the top, down from the C suite down, maybe from the board down saying, Hey, guys, we have to get our hands around. I mean, this is before GDP are But in terms of the opportunities that I provided the company, where did that initiative come from? And a new year old come about now. But you guys want a couple of different routes, Talk to us a little bit about that initiative and the initial directions to where you are now. >>Yes, O. R. Xia Old Smalley obviously had a vision for how the country is going to progress. Set sail in his tenure on a massive pile that was understanding with our data waas how it was used on but most importantly have it was protected as well. And so that kind of drove the insertion from likes of HCL Congress and emphasis into looking after our own environment. You can, after our own idea for choosing strategies as well, so that organically company could grow based on best directions for using that there that we could meet from what we had the radio through collaboration with other bio farmers is a game just for the greater good of fame than that. That next medical molecules to help proficient. All right, >>Scott, have you been toe the combo Cho shows before? >>Second thing second time. Tell us a >>little >>bit about you know what brings you to the show? A lot of announcements here. Anything jump out so far? >>Yeah, it is interesting to see some of the new collaborations are Sorry. Party sees it comes I'll be making over the last little well Hedvig acquisition looks looks breaks on the metallic venture that, doomed for public sass is, well, looks like equals x, a n and ammunition and came environments that convo play on. So I think things to very good moves. >>So you're leveraging Public Cloud. How does Khan Vault fit into that? You're to be used babies >>convoked for for M backing up on restoring and our public load environments. Whether we need a B s robotics, start watching in the jury's there with You're in the club zero stack as well. And then we're in the process of bringing on lane production environments and Google Cloud Platform zone. So having that one back up in the store strategies pivotal Isabella's enabling us to move our day off using visibility solution to get calm. Boulders now, which is very powerful, is >>one of the things I noticed when I watched the video that combo has done with you. And they actually shared a quote from you during the keynote before Actually, before everyone walked. It is, you said this constant evolution that come about is delivering was one of the things that that you really like. From a business perspective, Combo has done a lot of evolving in the last nine months with the new leadership. It's too. And you were talking about some of the new technology, some of the new announcements from that evolutionary perspective and what you guys like about it. What are you seeing in terms of them going forward? Are you saying hey, there really listening? They're looking at use cases like ours, learning from it to not only make the technology is better, but to expand their portfolio. >>I mean, for a lot of it's based in the constant evolution of the FBI's that convo used for access and videos need parts. Technology will be backing up of the M two, backing up kubernetes containers and using that in the Secret Service's environment is Val to Tolliver's to ensure that whatever it comes to get from Lourdes cannot feel like several. It's computing environments that don't understand what what they put watch. So we can either reuse it, destroy, are used different manner, so that for us, that's great. Because obviously for our own C A c d pay planes, they're all FBI driven on to be able to use a convert production. The same kind of fashion is >>so, Scott, do you keep up on the quarterly cadence that combo doing and is there anything, uh, kind of either on the road map for things that you're asking for that would make your environment even better? >>And we're kind of used the 90 day cadences for ourselves to ensure that our own strategies are kept in check and we could take advantage off in your aunties are coming not only from convo but for other parts of our the infrastructure really be now for our only storage or a video. Various other providers that be used for insurance are dead as a decibel and used in a proper fashion. I >>want to get into a little bit of the use case, I knew that you had a number of different competing backup solutions in place. Did you start from a data started perspective, like within one division or one part of the company to maybe pilot, because you ended up with a whole bunch of different software solutions in there. Now you standardize on combo, walk us through that process, those decisions and what you're getting by having this now single pane of less >>some of the populated back up in the store sprawl was caused by individual parts of his had been able to do a little thing having little ineighty budget. So give it up. Some parts of business want to use a backup from Veritas or the emcee products that were in play at the time when we source between IBM and HDL chores each pdp for a pre media centers. So I decided another another backup restore productive in the mix. So for us, it just became untenable when we started insourcing, you know, to build a support team support organization to work after that many technologies was pretty difficult hands by way to go for 11 stop strategy. >>You said in the video. That combo had a pretty significantly higher success rate compared to some of the other solutions, so that must have made it a no brainer. >>So our backup critical applications is 99.8% successful to stay on, and that's that. That's what come won't get themselves. So that was a great comfort on the series. Is more and more of our applications move over on the convo platform, then have ah more wrong deeds approached, You know, backup success, but success in the store and say the things as well as Bella's, you know, using the analytics on a more timely fashion again for for drug and manufacturing research. >>So I know that you guys looked at our sorry spoke with a number of combat customers before you made this decision. And now here you are, on the other side of the coin, talking to a lot of combo customers. What advice would you give companies in any industry who in almost 2020 may not have a really robust data strategy? Your recommendations >>should look it over, not just our backup in the store solution. You know, the could base, which has put together for involves very powerful from the beta index. Ease with information going through construe the product to you can use out for things like D. R H A and also immigration off records. Two different defense centers are different parts of public low dreamer, you know, And the new new vision that I have for the analytics is very powerful as well. Forget the name of this tour today that someone that, you know, maybe we've started to use ourselves in a big way. We've got a little science team within my operation, which is made in that they are not coming, that they're more efficient manner. Feed that into our. Praised the architecture so that they could take advantage of what? Worried they got their own confines and makes out with what they need to do for for new discoveries. >>Scott, thank you for joining. Stewing me on the cube today, sharing with us what you're doing at AstraZeneca and looking forward to hearing the next molecule that discovers some great breakthrough. >>Thank you. >>First to Minutemen. I'm Lisa Martin. You're watching the cue from combo go 19

Published Date : Oct 15 2019

SUMMARY :

Brought to you by combo. Stew and I are pleased to welcome to the Cube one of combo What you guys are what you d'oh! from Kearney care to tiu oncology onda also are massive. What is data mean to your organization? from go boat framed in that next molecules to discover data fits into the picture, what's in your purview and what you have to work with other groups on. and that can environment is pivotal to the coming been successful so talk to us about when you came on board, he said. So over the last some of the you know from the top, down from the C suite down, maybe from the board down saying, Hey, guys, we have to get And so that kind of drove the insertion from Tell us a bit about you know what brings you to the show? So I think things to You're to be used babies the club zero stack as well. some of the new announcements from that evolutionary perspective and what you guys like about I mean, for a lot of it's based in the constant evolution of the FBI's that convo are coming not only from convo but for other parts of our the infrastructure really be now for pilot, because you ended up with a whole bunch of different software solutions in there. some of the populated back up in the store sprawl was caused by individual parts That combo had a pretty significantly higher success rate compared to some of the other solutions, and say the things as well as Bella's, you know, using the analytics on a more timely So I know that you guys looked at our sorry spoke with a number of combat customers to you can use out for things like D. R H A and also immigration Stewing me on the cube today, sharing with us what you're doing at AstraZeneca and You're watching the cue from combo go 19

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Keynote | Red Hat Summit 2019 | DAY 2 Morning


 

>> Ladies and gentlemen, please welcome Red Hat President Products and Technologies. Paul Cormier. Boring. >> Welcome back to Boston. Welcome back. And welcome back after a great night last night of our opening with with Jim and talking to certainly saw ten Jenny and and especially our customers. It was so great last night to hear our customers in how they set their their goals and how they met their goals. All possible because certainly with a little help from red hat, but all possible because of because of open source. And, you know, sometimes we have to all due that has set goals. And I'm going to talk this morning about what we as a company and with community, have set for our goals along the way. And sometimes you have to do that. You know, audacious goals. It can really change the perception of what's even possible. And, you know, if I look back, I can't think of anything, at least in my lifetime, that's more important. Or such a big golden John F. Kennedy setting the gold to the American people to go to the moon. I believe it or not, I was really, really only three years old when he said that, honestly. But as I grew up, I remember the passion around the whole country and the energy to make that goal a reality. So let's sort of talk about in compare and contrast, a little bit of where we are technically at that time, you know, tto win and to beat and winning the space race and even get into the space race. There was some really big technical challenges along the way. I mean, believe it or not. Not that long ago. But even But back then, math Malik mathematical calculations were being shifted from from brilliant people who we trusted, and you could look in the eye to A to a computer that was programmed with the results that were mostly printed out. This this is a time where the potential of computers was just really coming on the scene and, at the time, the space race at the time of space race it. It revolved around an IBM seventy ninety, which was one of the first transistor based computers. It could perform mathematical calculations faster than even the most brilliant mathematicians. But just like today, this also came with many, many challenges And while we had the goal of in the beginning of the technique and the technology to accomplish it, we needed people so dedicated to that goal that they would risk everything. And while it may seem commonplace to us today to trust, put our trust in machines, that wasn't the case. Back in nineteen sixty nine, the seven individuals that made up the Mercury Space crew were putting their their lives in the hands of those first computers. But on Sunday, July twentieth, nineteen sixty nine, these things all came together. The goal, the technology in the team and a human being walked on the moon. You know, if this was possible fifty years ago, just think about what Khun B. Accomplished today, where technology is part of our everyday lives. And with technology advances at an ever increasing rate, it's hard to comprehend the potential that sitting right at our fingertips every single day, everything you know about computing is continuing to change. Today, let's look a bit it back. A computing In nineteen sixty nine, the IBM seventy ninety could process one hundred thousand floating point operations per second, today's Xbox one that sitting in most of your living rooms probably can process six trillion flops. That's sixty million times more powerful than the original seventy ninety that helped put a human being on the moon. And at the same time that computing was, that was drastically changed. That this computing has drastically changed. So have the boundaries of where that computing sits and where it's been where it lives. At the time of the Apollo launch, the computing power was often a single machine. Then it moved to a single data center, and over time that grew to multiple data centers. Then with cloud, it extended all the way out to data centers that you didn't even own or have control of. But but computing now reaches far beyond any data center. This is also referred to as the edge. You hear a lot about that. The Apollo's, the Apollo's version of the Edge was the guidance system, a two megahertz computer that weighed seventy pounds embedded in the capsule. Today, today the edge is right here on my wrist. This apple watch weighs just a couple of ounces, and it's ten ten thousand times more powerful than that seventy ninety back in nineteen sixty nine But even more impactful than computing advances, combined with the pervasive availability of it, are the changes and who in what controls those that similar to social changes that have happened along the way. Shifting from mathematicians to computers, we're now facing the same type of changes with regards to operational control of our computing power. In its first forms. Operational control was your team, your team within your control? In some cases, a single person managed everything. But as complexity grows, our team's expanded, just like in the just like in the computing boundaries, system integrators and public cloud providers have become an extension of our team. But at the end of the day, it's still people that are still making all the decisions going forward with the progress of things like a I and software defined everything. It's quite likely that machines will be managing machines, and in many cases that's already happening today. But while the technology at our finger tips today is so impressive, the pace of changing complexity of the problems we aspire to solve our equally hard to comprehend and they are all intertwined with one another learning from each other, growing together faster and faster. We are tackling problems today on a global scale with unsinkable complexity beyond anyone beyond what any one single company or even one single country Khun solve alone. This is why open source is so important. This is why open source is so needed today in software. This is why open sources so needed today, even in the world, to solve other types of complex problems. And this is why open source has become the dominant development model which is driving the technology direction. Today is to bring two brother to bring together the best innovation from every corner of the planet. Toe fundamentally change how we solve problems. This approach and access the innovation is what has enabled open source To tackle The challenge is big challenges, like creating the hybrid cloud like building a truly open hybrid cloud. But even today it's really difficult to bridge the gap of the innovation. It's available in all in all of our fingertips by open source development, while providing the production level capabilities that are needed to really dip, ploy this in the enterprise and solve RIA world business problems. Red Hat has been committed to open source from the very, very beginning and bringing it to solve enterprise class problems for the last seventeen plus years. But when we built that model to bring open source to the enterprise, we absolutely knew we couldn't do it halfway tow harness the innovation. We had to fully embrace the model. We made a decision very early on. Give everything back and we live by that every single day. We didn't do crazy crazy things like you hear so many do out there. All this is open corps or everything below. The line is open and everything above the line is closed. We didn't do that, and we gave everything back Everything we learned in the process of becoming an enterprise class technology company. We gave it all of that back to the community to make better and better software. This is how it works. And we've seen the results of that. We've all seen the results of that and it could only have been possible within open source development model we've been building on the foundation of open source is most successful Project Lennox in the architecture of the future hybrid and bringing them to the Enterprise. This is what made Red Hat, the company that we are today and red hats journey. But we also had the set goals, and and many of them seemed insert insurmountable at the time, the first of which was making Lennox the Enterprise standard. And while this is so accepted today, let's take a look at what it took to get there. Our first launch into the Enterprise was rail two dot one. Yes, I know we two dot one, but we knew we couldn't release a one dato product. We knew that and and we didn't. But >> we didn't want to >> allow any reason why anyone of any customer anyone shouldn't should look past rail to solve their problems as an option. Back then, we had to fight every single flavor of Unix in every single account. But we were lucky to have a few initial partners and Big Eyes v partners that supported Rehl out of the gate. But while we had the determination, we knew we also had gaps in order to deliver on our on our priorities. In the early days of rail, I remember going to ask one of our engineers for a past rehl build because we were having a customer issue on it on an older release. And then I watched in horror as he rifled through his desk through a mess of CDs and magically came up and said, I found it here It is told me not to worry that the build this was he thinks this was the bill. This was the right one, and at that point I knew that despite the promise of Lennox, we had a lot of work ahead of us. The not only convinced the world that Lennox was secure, stable, an enterprise ready, but also to make that a reality. But we did. And today this is our reality. It's all of our reality. From the Enterprise Data Center standard to the fastest computers on the planet, Red Hat Enterprise, Lennox has continually risen to the challenge and has become the core foundation that many mission critical customers run and bet their business on. And an even bigger today Lennox is the foundation of which practically every single technology initiative is built upon. Lennox is not only standard toe build on today, it's the standard for innovation that builds around it. That's the innovation that's driving the future as well. We started our story with rail two dot one, and here we are today, seventeen years later, announcing rally as we did as we did last night. It's specifically designed for applications to run across the open hybrid. Clyde Cloud. Railed has become the best operating simp system for on premise all the way out to the cloud, providing that common operating model and workload foundation on which to build hybrid applications. Let's take it. Let's take a look at how far we've come and see this in action. >> Please welcome Red Hat Global director of developer experience, burst Sutter with Josh Boyer, Timothy Kramer, Lars Carl, it's Key and Brent Midwood. All right, we have some amazing things to show you. In just a few short moments, we actually have a lot of things to show you. And actually, Tim and Brandt will be with us momentarily. They're working out a few things in the back because we have a lot of this is gonna be a live demonstration, some incredible capabilities. Now you're going to see clear innovation inside the operating system where we worked incredibly hard to make it vast cities. You're free to manage many, many machines. I want you thinking about that as we go to this process. Now, also, keep in mind that this is the basis our core platform for everything we do here. Red hat. So it is an honor for me to be able to show it to you live on stage today. And so I recognize the many of you in the audience right now. Her hand's on systems administrators, systems, architect, citizens, engineers. And we know that you're under ever growing pressure to deliver needed infrastructure. Resource is ever faster, and that is a key element to what you're thinking about every day. Well, this has been a core theme, and our design decisions find red Odd Enterprise Lennox eight and intelligent operating system, which is making it fundamentally easier for you manage machines that scale. So hold what you're about to see next. Feels like a new superpower and and that redhead azure force multiplier. So first, let me introduce you to a large. He's totally my limits guru. >> I wouldn't call myself a girl, but I I guess you could say that I want to bring Lennox and light meant to more people. >> Okay, Well, let's let's dive in. And we're not about the clinic's eight. >> Sure. Let me go. And Morgan, >> wait a >> second. There's windows. >> Yeah, way Build the weft Consul into Really? That means that for the first time, you can log in from any device including your phone or this standard windows laptop. So you just go ahead and and to my Saturday lance credentials here. >> Okay, so now >> you're putting >> your limits password and over the web. >> Yeah, that might sound a bit scary at first, but of course, we're using the latest security tech by T. L s on dh csp on. Because that's the standard Lennox off site. You can use everything that you used to like a stage keys, OTP, tokens and stuff like this. >> Okay, so now I see the council right here. I love the dashboard overview of the system, but what else can you tell us about this council? >> Right? Like right here. You see the load of the system, some some of its properties. But you can also dive into logs everything that you're used to from the command line, right? Or lookit, services. This's all the services I've running, can start and stuff them and enable >> OK, I love that feature right there. So what about if I have to add a whole new application to this environment? >> Good that you're bringing that up. We build a new future into hell called application streams. Which the way for you to install different versions of your half stack that are supported I'LL show you with Youngmin a command line. But since Windows doesn't have a proper terminal, I'll just do it in the terminal that we built into the Web console Since the browser, I can even make this a bit bigger. Go to, for example, to see the application streams that we have for Poskus. Ijust do module list and I see you know we have ten and nine dot six Both supported tennis a default on defy enable ninety six Now the next time that I installed prescribes it will pull all their lady towards from them at six. >> Ok, so this is very cool. I see two verses of post Chris right here What tennis to default. That is fantastic and the application streams making that happen. But I'm really kind of curious, right? I loved using know js and Java. So what about multiple versions of those? >> Yeah, that's exactly the idea way. Want to keep up with the fast moving ecosystems off programming language? Isn't it a business? >> Okay, now, But I have another key question. I know some people were thinking it right now. What about Python? >> Yeah. In fact, in a minimum and still like this, python gives you command. Not fact. Just have to type it correctly. You can't just install which everyone you want two or three or whichever your application needs. >> Okay, Well, that is I've been burned on that one before. Okay, so no actual. Have a confession for all you guys. Right here. You guys keep this amongst yourselves. Don't let Paul No, I'm actually not a linnet systems administrator. I'm an application developer, an application architect, And I recently had to go figure out how to extend the file system. This is for real. And I'm going to the rat knowledge base and looking up things like, you know, PV create VD, extend resized to f s. And I have to admit, that's hard, >> right? I've opened the storage space for you right here, where you see an overview of your storage. And the council has made for people like you as well not only for people that I knew that when you two lunatics, right? It's if you're running, you're running some of the commands only, you know, some of the time you don't remember them. So, for example, I haven't felt twosome here. That's a little bit too small. Let me just throw it. It's like, you know, dragging this lighter. It calls all the command in the background for you. >> Oh, that is incredible. Is that simple? Just drag and drop. That is fantastic. Well, so I actually, you know, we'll have another question for you. It looks like now this linen systems administration is no longer a dark heart involving arcane commands typed into a black terminal. Like using when those funky ergonomic keyboards you know I'm talking about right? Do >> you know a lot of people, including me and people in the audience like that dark out right? And this is not taking any of that away. It's on additional tool to bring limits to more people. >> Okay, well, that is absolute fantastic. Thank you so much for that Large. And I really love him installing everything is so much easier, including a post gra seeker and, of course, the python that we saw right there. So now I want to change gears for a second because I actually have another situation that I'm always dealing with. And that is every time I want to build a new Lenox system, not only I don't want to have to install those commands again and again, it feels like I'm doing it over and over. So, Josh, how would I create a golden image? One VM image that can use and we have everything pre baked in? >> Yeah, absolutely. But >> we get that question all the time. So really includes image builder technology. Image builder technology is actually all of our hybrid cloud operating system image tools that we use to build our own images and rolled up in a nice, easy to integrate new system. So if I come here in the web console and I go to our image builder tab, it brings us to blueprints, right? Blueprints or what we used to actually control it goes into our golden image. Uh, and I heard you and Lars talking about post present python. So I went and started typing here. So it brings us to this page, but you could go to the selected components, and you can see here I've created a blueprint that has all the python and post press packages in it. Ah, and the interesting thing about this is it build on our existing kickstart technology. But you can use it to deploy that whatever cloud you want. And it's saved so that you don't actually have to know all the various incantations from Amazon toe azure to Google, whatever it's all baked in on. When you do this, you can actually see the dependencies that get brought in as well. Okay. Should we create one life? Yes, please. All right, cool. So if we go back to the blueprints page and we click create blueprint Let's, uh let's make a developer brute blueprint here. So we click great, and you can see here on the left hand side. I've got all of my content served up by Red Hat satellite. We have a lot of great stuff, and really, But we can go ahead and search. So we'LL look for post grows and you know, it's a developer image at the client for some local testing. Um, well, come in here and at the python bits. Probably the development package. We need a compiler if we're going to actually build anything. So look for GCC here and hey, what's your favorite editor? >> A Max, Of course, >> Max. All right. Hey, Lars, about you. I'm more of a person. You Maxim v I All right, Well, if you want to prevent a holy war in your system, you can actually use satellite to filter that out. But we're going to go ahead and Adam Ball, sweetie, I'm a fight on stage. So wait, just point and click. Let the graphical one. And then when we're all done, we just commit our changes, and our image is ready to build. >> Okay, So this VM image we just created right now from that blueprint this is now I can actually go out there and easily deploys of deploy this across multiple cloud providers. And as well as this on stage are where we have right now. >> Yeah, absolutely. We can to play on Amazon as your google any any infrastructure you're looking for so you can really hit your Clyburn hybrid cloud operating system images. >> Okay. All right, listen, we >> just go on, click, create image. Uh, we can select our different types here. I'm gonna go ahead and create a local VM because it's available image, and maybe they want to pass it around or whatever, and I just need a few moments for it to build. >> Okay? So while that's taking a few moments, I know there's another key question in the minds of the audience right now, and you're probably thinking I love what I see. What Right eye right hand Priceline say. But >> what does it >> take to upgrade from seven to eight? So large can you show us and walk us through an upgrade? >> Sure, this's my little Thomas Block that I set up. It's powered by what Chris and secrets over, but it's still running on seven six. So let's upgrade that jump over to my house fee on satellite on. You see all my relate machines here, including the one I showed you what Consul on before. And there is that one with my sun block and there's a couple others. Let me select those as well. This one on that one. Just go up here. Schedule remote job. And she was really great. And hit Submit. I made it so that it makes the booms national before. So if anything was wrong Kans throwback! >> Okay, okay, so now it's progressing. Here, >> it's progressing. Looks like it's running. Doing >> live upgrade on stage. Uh, >> seems like one is failing. What's going on here? Okay, we checked the tree of great Chuck. Oh, yeah, that's the one I was playing around with Butter fest backstage. What? Detective that and you know, it doesn't run the Afghan cause we don't support operating that. >> Okay, so what I'm hearing now? So the good news is, we were protected from possible failed upgrade there, So it sounds like these upgrades are perfectly safe. Aiken, basically, you know, schedule this during a maintenance window and still get some sleep. >> Totally. That's the idea. >> Okay, fantastic. All right. So it looks like upgrades are easy and perfectly safe. And I really love what you showed us there. It's good point. Click operation right from satellite. Ok, so Well, you know, we were checking out upgrades. I want to know Josh. How those v ems coming along. >> They went really well. So you were away for so long. I got a little bored and I took some liberties. >> What do you mean? >> Well, the image Bill And, you know, I decided I'm going to go ahead and deploy here to this Intel machine on stage Esso. I have that up and running in the web. Counsel. I built another one on the arm box, which is actually pretty fast, and that's up and running on this. Our machine on that went so well that I decided to spend up some an Amazon. So I've got a few instances here running an Amazon with the web console accessible there as well. On even more of our pre bill image is up and running an azure with the web console there. So the really cool thing about this bird is that all of these images were built with image builder in a single location, controlling all the content that you want in your golden images deployed across the hybrid cloud. >> Wow, that is fantastic. And you might think that so we actually have more to show you. So thank you so much for that large. And Josh, that is fantastic. Looks like provisioning bread. Enterprise Clinic Systems ate a redhead. Enterprise Enterprise. Rhetta Enterprise Lennox. Eight Systems is Asian ever before, but >> we have >> more to talk to you about. And there's one thing that many of the operations professionals in this room right now no, that provisioning of'em is easy, but it's really day two day three, it's down the road that those viens required day to day maintenance. As a matter of fact, several you folks right now in this audience to have to manage hundreds, if not thousands, of virtual machines I recently spoke to. Gentleman has to manage thirteen hundred servers. So how do you manage those machines? A great scale. So great that they have now joined us is that it looks like they worked things out. So now I'm curious, Tim. How will we manage hundreds, if not thousands, of computers? >> Welbourne, one human managing hundreds or even thousands of'em says, No problem, because we have Ansel automation. And by leveraging Ansel's integration into satellite, not only can we spin up those V em's really quickly, like Josh was just doing, but we can also make ongoing maintenance of them really simple. Come on up here. I'm going to show you here a satellite inventory and his red hat is publishing patches. Weaken with that danceable integration easily apply those patches across our entire fleet of machines. Okay, >> that is fantastic. So he's all the machines can get updated in one fell swoop. >> He sure can. And there's one thing that I want to bring your attention to today because it's brand new. And that's cloud that red hat dot com And here, a cloud that redhead dot com You can view and manage your entire inventory no matter where it sits. Of Redhead Enterprise Lennox like on Prem on stage. Private Cloud or Public Cloud. It's true Hybrid cloud management. >> OK, but one thing. One thing. I know that in the minds of the audience right now. And if you have to manage a large number servers this it comes up again and again. What happens when you have those critical vulnerabilities that next zero day CV could be tomorrow? >> Exactly. I've actually been waiting for a while patiently for you >> to get to the really good stuff. So >> there's one more thing that I wanted to let folks know about. Red Hat Enterprise. The >> next eight and some features that we have there. Oh, >> yeah? What is that? >> So, actually, one of the key design principles of relate is working with our customers over the last twenty years to integrate all the knowledge that we've gained and turn that into insights that we can use to keep our red hat Enterprise Lennox servers running securely, inefficiently. And so what we actually have here is a few things that we could take a look at show folks what that is. >> OK, so we basically have this new feature. We're going to show people right now. And so one thing I want to make sure it's absolutely included within the redhead enterprise in that state. >> Yes. Oh, that's Ah, that's an announcement that we're making this week is that this is a brand new feature that's integrated with Red Hat Enterprise clinics, and it's available to everybody that has a red hat enterprise like subscription. So >> I believe everyone in this room right now has a rail subscriptions, so it's available to all of them. >> Absolutely, absolutely. So let's take a quick look and try this out. So we actually have. Here is a list of about six hundred rules. They're configuration security and performance rules. And this is this list is growing every single day, so customers can actually opt in to the rules that are most that are most applicable to their enterprises. So what we're actually doing here is combining the experience and knowledge that we have with the data that our customers opt into sending us. So customers have opted in and are sending us more data every single night. Then they actually have in total over the last twenty years via any other mechanism. >> Now there's I see now there's some critical findings. That's what I was talking about. But it comes to CVS and things that nature. >> Yeah, I'm betting that those air probably some of the rail seven boxes that we haven't actually upgraded quite yet. So we get back to that. What? I'd really like to show everybody here because everybody has access to this is how easy it is to opt in and enable this feature for real. Okay, let's do that real quick, so I gotta hop back over to satellite here. This is the satellite that we saw before, and I'll grab one of the hosts and we can use the new Web console feature that's part of Railly, and via single sign on I could jump right from satellite over to the Web console. So it's really, really easy. And I'LL grab a terminal here and registering with insights is really, really easy. Is one command troops, and what's happening right now is the box is going to gather some data. It's going to send it up to the cloud, and within just a minute or two, we're gonna have some results that we can look at back on the Web interface. >> I love it so it's just a single command and you're ready to register this box right now. That is super easy. Well, that's fantastic, >> Brent. We started this whole series of demonstrations by telling the audience that Red Hat Enterprise Lennox eight was the easiest, most economical and smartest operating system on the planet, period. And well, I think it's cute how you can go ahead and captain on a single machine. I'm going to show you one more thing. This is Answerable Tower. You can use as a bell tower to managing govern your answerable playbook, usage across your entire organization and with this. What I could do is on every single VM that was spun up here today. Opt in and register insights with a single click of a button. >> Okay, I want to see that right now. I know everyone's waiting for it as well, But hey, you're VM is ready. Josh. Lars? >> Yeah. My clock is running a little late now. Yeah, insights is a really cool feature >> of rail. And I've got it in all my images already. All >> right, I'm doing it all right. And so as this playbook runs across the inventory, I can see the machines registering on cloud that redhead dot com ready to be managed. >> OK, so all those onstage PM's as well as the hybrid cloud VM should be popping in IRC Post Chris equals Well, fantastic. >> That's awesome. Thanks to him. Nothing better than a Red Hat Summit speaker in the first live demo going off script deal. Uh, let's go back and take a look at some of those critical issues affecting a few of our systems here. So you can see this is a particular deanna's mask issue. It's going to affect a couple of machines. We saw that in the overview, and I can actually go and get some more details about what this particular issue is. So if you take a look at the right side of the screen there, there's actually a critical likelihood an impact that's associated with this particular issue. And what that really translates to is that there's a high level of risk to our organization from this particular issue. But also there's a low risk of change. And so what that means is that it's really, really safe for us to go ahead and use answerable to mediate this so I can grab the machines will select those two and we're mediate with answerable. I can create a new playbook. It's our maintenance window, but we'LL do something along the lines of like stuff Tim broke and that'LL be our cause. We name it whatever we want. So we'Ll create that playbook and take a look at it, and it's actually going to give us some details about the machines. You know what, what type of reboots Efendi you're going to be needed and what we need here. So we'LL go ahead and execute the playbook and what you're going to see is the outputs goingto happen in real time. So this is happening from the cloud were affecting machines. No matter where they are, they could be on Prem. They could be in a hybrid cloud, a public cloud or in a private cloud. And these things are gonna be remediated very, very easily with answerable. So it's really, really awesome. Everybody here with a red hat. Enterprise licks Lennox subscription has access to this now, so I >> kind of want >> everybody to go try this like, we really need to get this thing going and try it out right now. But >> don't know, sent about the room just yet. You get stay here >> for okay, Mr. Excitability, I think after this keynote, come back to the red hat booth and there's an optimization section. You can come talk to our insights engineers. And even though it's really easy to get going on your own, they can help you out. Answer any questions you might have. So >> this is really the start of a new era with an intelligent operating system and beauty with intelligence you just saw right now what insights that troubles you. Fantastic. So we're enabling systems administrators to manage more red in private clinics, a greater scale than ever before. I know there's a lot more we could show you, but we're totally out of time at this point, and we kind of, you know, when a little bit sideways here moments. But we need to get off the stage. But there's one thing I want you guys to think about it. All right? Do come check out the in the booth. Like Tim just said also in our debs, Get hands on red and a prize winning state as well. But really, I want you to think about this one human and a multitude of servers. And if you remember that one thing asked you upfront. Do you feel like you get a new superpower and redhead? Is your force multiplier? All right, well, thank you so much. Josh and Lars, Tim and Brent. Thank you. And let's get Paul back on stage. >> I went brilliant. No, it's just as always, >> amazing. I mean, as you can tell from last night were really, really proud of relate in that coming out here at the summit. And what a great way to showcase it. Thanks so much to you. Birth. Thanks, Brent. Tim, Lars and Josh. Just thanks again. So you've just seen this team demonstrate how impactful rail Khun b on your data center. So hopefully hopefully many of you. If not all of you have experienced that as well. But it was super computers. We hear about that all the time, as I just told you a few minutes ago, Lennox isn't just the foundation for enterprise and cloud computing. It's also the foundation for the fastest super computers in the world. In our next guest is here to tell us a lot more about that. >> Please welcome Lawrence Livermore National Laboratory. HPC solution Architect Robin Goldstone. >> Thank you so much, Robin. >> So welcome. Welcome to the summit. Welcome to Boston. And thank thank you so much for coming for joining us. Can you tell us a bit about the goals of Lawrence Livermore National Lab and how high high performance computing really works at this level? >> Sure. So Lawrence Livermore National >> Lab was established during the Cold War to address urgent national security needs by advancing the state of nuclear weapons, science and technology and high performance computing has always been one of our core capabilities. In fact, our very first supercomputer, ah Univac one was ordered by Edward Teller before our lab even opened back in nineteen fifty two. Our mission has evolved since then to cover a broad range of national security challenges. But first and foremost, our job is to ensure the safety, security and reliability of the nation's nuclear weapons stockpile. Oh, since the US no longer performs underground nuclear testing, our ability to certify the stockpile depends heavily on science based science space methods. We rely on H P C to simulate the behavior of complex weapons systems to ensure that they can function as expected, well beyond their intended life spans. That's actually great. >> So are you really are still running on that on that Univac? >> No, Actually, we we've moved on since then. So Sierra is Lawrence Livermore. Its latest and greatest supercomputer is currently the Seconds spastic supercomputer in the world and for the geeks in the audience, I think there's a few of them out there. We put up some of the specs of Syrah on the screen behind me, a couple of things worth highlighting our Sierra's peak performance and its power utilisation. So one hundred twenty five Pata flops of performance is equivalent to about twenty thousand of those Xbox one excess that you mentioned earlier and eleven point six megawatts of power required Operate Sierra is enough to power around eleven thousand homes. Syria is a very large and complex system, but underneath it all, it starts out as a collection of servers running Lin IX and more specifically, rail. >> So did Lawrence. Did Lawrence Livermore National Lab National Lab used Yisrael before >> Sierra? Oh, yeah, most definitely. So we've been running rail for a very long time on what I'll call our mid range HPC systems. So these clusters, built from commodity components, are sort of the bread and butter of our computer center. And running rail on these systems provides us with a continuity of operations and a common user environment across multiple generations of hardware. Also between Lawrence Livermore in our sister labs, Los Alamos and Sandia. Alongside these commodity clusters, though, we've always had one sort of world class supercomputer like Sierra. Historically, these systems have been built for a sort of exotic proprietary hardware running entirely closed source operating systems. Anytime something broke, which was often the Vander would be on the hook to fix it. And you know, >> that sounds >> like a good model, except that what we found overtime is most the issues that we have on these systems were either due to the extreme scale or the complexity of our workloads. Vendors seldom had a system anywhere near the size of ours, and we couldn't give them our classified codes. So their ability to reproduce our problem was was pretty limited. In some cases, they've even sent an engineer on site to try to reproduce our problems. But even then, sometimes we wouldn't get a fix for months or else they would just tell us they weren't going to fix the problem because we were the only ones having it. >> So for many of us, for many of us, the challenges is one of driving reasons for open source, you know, for even open source existing. How has how did Sierra change? Things are on open source for >> you. Sure. So when we developed our technical requirements for Sierra, we had an explicit requirement that we want to run an open source operating system and a strong preference for rail. At the time, IBM was working with red hat toe add support Terrell for their new little Indian power architecture. So it was really just natural for them to bid a red. A rail bay system for Sierra running Raylan Cyril allows us to leverage the model that's worked so well for us for all this time on our commodity clusters any packages that we build for X eighty six, we can now build those packages for power as well as our market texture using our internal build infrastructure. And while we have a formal support relationship with IBM, we can also tap our in house colonel developers to help debug complex problems are sys. Admin is Khun now work on any of our systems, including Sierra, without having toe pull out their cheat sheet of obscure proprietary commands. Our users get a consistent software environment across all our systems. And if the security vulnerability comes out, we don't have to chase around getting fixes from Multan slo es fenders. >> You know, you've been able, you've been able to extend your foundation from all the way from X eighty six all all the way to the extract excess Excuse scale supercomputing. We talk about giving customers all we talked about it all the time. A standard operational foundation to build upon. This isn't This isn't exactly what we've envisioned. So So what's next for you >> guys? Right. So what's next? So Sierra's just now going into production. But even so, we're already working on the contract for our next supercomputer called El Capitan. That's scheduled to be delivered the Lawrence Livermore in the twenty twenty two twenty timeframe. El Capitan is expected to be about ten times the performance of Sierra. I can't share any more details about that system right now, but we are hoping that we're going to be able to continue to build on a solid foundation. That relish provided us for well over a decade. >> Well, thank you so much for your support of realm over the years, Robin. And And thank you so much for coming and tell us about it today. And we can't wait to hear more about El Capitan. Thank you. Thank you very much. So now you know why we're so proud of realm. And while you saw confetti cannons and T shirt cannons last night, um, so you know, as as burned the team talked about the demo rail is the force multiplier for servers. We've made Lennox one of the most powerful platforms in the history of platforms. But just as Lennox has become a viable platform with access for everyone, and rail has become viable, more viable every day in the enterprise open source projects began to flourish around the operating system. And we needed to bring those projects to our enterprise customers in the form of products with the same trust models as we did with Ralph seeing the incredible progress of software development occurring around Lennox. Let's let's lead us to the next goal that we said tow, tow ourselves. That goal was to make hybrid cloud the default enterprise for the architecture. How many? How many of you out here in the audience or are Cesar are? HC sees how many out there a lot. A lot. You are the people that our building the next generation of computing the hybrid cloud, you know, again with like just like our goals around Lennox. This goals might seem a little daunting in the beginning, but as a community we've proved it time and time again. We are unstoppable. Let's talk a bit about what got us to the point we're at right right now and in the work that, as always, we still have in front of us. We've been on a decade long mission on this. Believe it or not, this mission was to build the capabilities needed around the Lenox operating system to really build and make the hybrid cloud. When we saw well, first taking hold in the enterprise, we knew that was just taking the first step. Because for a platform to really succeed, you need applications running on it. And to get those applications on your platform, you have to enable developers with the tools and run times for them to build, to build upon. Over the years, we've closed a few, if not a lot of those gaps, starting with the acquisition of J. Boss many years ago, all the way to the new Cuban Eddie's native code ready workspaces we launched just a few months back. We realized very early on that building a developer friendly platform was critical to the success of Lennox and open source in the enterprise. Shortly after this, the public cloud stormed onto the scene while our first focus as a company was done on premise in customer data centers, the public cloud was really beginning to take hold. Rehl very quickly became the standard across public clouds, just as it was in the enterprise, giving customers that common operating platform to build their applications upon ensuring that those applications could move between locations without ever having to change their code or operating model. With this new model of the data center spread across so many multiple environments, management had to be completely re sought and re architected. And given the fact that environments spanned multiple locations, management, real solid management became even more important. Customers deploying in hybrid architectures had to understand where their applications were running in how they were running, regardless of which infrastructure provider they they were running on. We invested over the years with management right alongside the platform, from satellite in the early days to cloud forms to cloud forms, insights and now answerable. We focused on having management to support the platform wherever it lives. Next came data, which is very tightly linked toe applications. Enterprise class applications tend to create tons of data and to have a common operating platform foyer applications. You need a storage solutions. That's Justus, flexible as that platform able to run on premise. Just a CZ. Well, as in the cloud, even across multiple clouds. This let us tow acquisitions like bluster, SEF perma bitch in Nubia, complimenting our Pratt platform with red hat storage for us, even though this sounds very condensed, this was a decade's worth of investment, all in preparation for building the hybrid cloud. Expanding the portfolio to cover the areas that a customer would depend on to deploy riel hybrid cloud architectures, finding any finding an amplifying the right open source project and technologies, or filling the gaps with some of these acquisitions. When that necessarily wasn't available by twenty fourteen, our foundation had expanded, but one big challenge remained workload portability. Virtual machine formats were fragmented across the various deployments and higher level framework such as Java e still very much depended on a significant amount of operating system configuration and then containers happened containers, despite having a very long being in existence for a very long time. As a technology exploded on the scene in twenty fourteen, Cooper Netease followed shortly after in twenty fifteen, allowing containers to span multiple locations and in one fell swoop containers became the killer technology to really enable the hybrid cloud. And here we are. Hybrid is really the on ly practical reality in way for customers and a red hat. We've been investing in all aspects of this over the last eight plus years to make our customers and partners successful in this model. We've worked with you both our customers and our partners building critical realm in open shift deployments. We've been constantly learning about what has caused problems and what has worked well in many cases. And while we've and while we've amassed a pretty big amount of expertise to solve most any challenge in in any area that stack, it takes more than just our own learning's to build the next generation platform. Today we're also introducing open shit for which is the culmination of those learnings. This is the next generation of the application platform. This is truly a platform that has been built with our customers and not simply just with our customers in mind. This is something that could only be possible in an open source development model and just like relish the force multiplier for servers. Open shift is the force multiplier for data centers across the hybrid cloud, allowing customers to build thousands of containers and operate them its scale. And we've also announced open shift, and we've also announced azure open shift. Last night. Satya on this stage talked about that in depth. This is all about extending our goals of a common operating platform enabling applications across the hybrid cloud, regardless of whether you run it yourself or just consume it as a service. And with this flagship release, we are also introducing operators, which is the central, which is the central feature here. We talked about this work last year with the operator framework, and today we're not going to just show you today. We're not going to just show you open shift for we're going to show you operators running at scale operators that will do updates and patches for you, letting you focus more of your time and running your infrastructure and running running your business. We want to make all this easier and intuitive. So let's have a quick look at how we're doing. Just that >> painting. I know all of you have heard we're talking to pretend to new >> customers about the travel out. So new plan. Just open it up as a service been launched by this summer. Look, I know this is a big quest for not very big team. I'm open to any and all ideas. >> Please welcome back to the stage. Red Hat Global director of developer Experience burst Sutter with Jessica Forrester and Daniel McPherson. All right, we're ready to do some more now. Now. Earlier we showed you read Enterprise Clinic St running on lots of different hardware like this hardware you see right now And we're also running across multiple cloud providers. But now we're going to move to another world of Lennox Containers. This is where you see open shift four on how you can manage large clusters of applications from eggs limits containers across the hybrid cloud. We're going to see this is where suffer operators fundamentally empower human operators and especially make ups and Deb work efficiently, more efficiently and effectively there together than ever before. Rights. We have to focus on the stage right now. They're represent ops in death, and we're gonna go see how they reeled in application together. Okay, so let me introduce you to Dan. Dan is totally representing all our ops folks in the audience here today, and he's telling my ops, comfort person Let's go to call him Mr Ops. So Dan, >> thanks for with open before, we had a much easier time setting up in maintaining our clusters. In large part, that's because open shit for has extended management of the clusters down to the infrastructure, the diversity kinds of parent. When you take >> a look at the open ship console, >> you can now see the machines that make up the cluster where machine represents the infrastructure. Underneath that Cooper, Eddie's node open shit for now handles provisioning Andy provisioning of those machines. From there, you could dig into it open ship node and see how it's configured and monitor how it's behaving. So >> I'm curious, >> though it does this work on bare metal infrastructure as well as virtualized infrastructure. >> Yeah, that's right. Burn So Pa Journal nodes, no eternal machines and open shit for can now manage it all. Something else we found extremely useful about open ship for is that it now has the ability to update itself. We can see this cluster hasn't update available and at the press of a button. Upgrades are responsible for updating. The entire platform includes the nodes, the control plane and even the operating system and real core arrests. All of this is possible because the infrastructure components and their configuration is now controlled by technology called operators. Thes software operators are responsible for aligning the cluster to a desired state. And all of this makes operational management of unopened ship cluster much simpler than ever before. All right, I >> love the fact that all that's been on one console Now you can see the full stack right all way down to the bare metal right there in that one console. Fantastic. So I wanted to scare us for a moment, though. And now let's talk to Deva, right? So Jessica here represents our all our developers in the room as my facts. He manages a large team of developers here Red hat. But more importantly, she represents our vice president development and has a large team that she has to worry about on a regular basis of Jessica. What can you show us? We'LL burn My team has hundreds of developers and were constantly under pressure to deliver value to our business. And frankly, we can't really wait for Dan and his ops team to provisioned the infrastructure and the services that we need to do our job. So we've chosen open shift as our platform to run our applications on. But until recently, we really struggled to find a reliable source of Cooper Netease Technologies that have the operational characteristics that Dan's going to actually let us install through the cluster. But now, with operator, How bio, we're really seeing the V ecosystem be unlocked. And the technology's there. Things that my team needs, its databases and message cues tracing and monitoring. And these operators are actually responsible for complex applications like Prometheus here. Okay, they're written in a variety of languages, danceable, but that is awesome. So I do see a number of options there already, and preaches is a great example. But >> how do you >> know that one? These operators really is mature enough and robust enough for Dan and the outside of the house. Wilbert, Here we have the operator maturity model, and this is going to tell me and my team whether this particular operator is going to do a basic install if it's going to upgrade that application over time through different versions or all the way out to full auto pilot, where it's automatically scaling and tuning the application based on the current environment. And it's very cool. So coming over toothy open shift Consul, now we can actually see Dan has made the sequel server operator available to me and my team. That's the database that we're using. A sequel server. That's a great example. So cynics over running here in the cluster? But this is a great example for a developer. What if I want to create a new secret server instance? Sure, we're so it's as easy as provisioning any other service from the developer catalog. We come in and I can type for sequel server on what this is actually creating is, ah, native resource called Sequel Server, and you can think of that like a promise that a sequel server will get created. The operator is going to see that resource, install the application and then manage it over its life cycle, KAL, and from this install it operators view, I can see the operators running in my project and which resource is its managing Okay, but I'm >> kind of missing >> something here. I see this custom resource here, the sequel server. But where the community's resource is like pods. Yeah, I think it's cool that we get this native resource now called Sequel Server. But if I need to, I can still come in and see the native communities. Resource is like your staple set in service here. Okay, that is fantastic. Now, we did say earlier on, though, like many of our customers in the audience right now, you have a large team of engineers. Lost a large team of developers you gotta handle. You gotta have more than one secret server, right? We do one for every team as we're developing, and we use a lot of other technologies running on open shift as well, including Tomcat and our Jenkins pipelines and our dough js app that is gonna actually talk to that sequel server database. Okay, so this point we can kind of provisions, Some of these? Yes. Oh, since all of this is self service for me and my team's, I'm actually gonna go and create one of all of those things I just said on all of our projects, right Now, if you just give me a minute, Okay? Well, right. So basically, you're going to knock down No Jazz Jenkins sequel server. All right, now, that's like hundreds of bits of application level infrastructure right now. Live. So, Dan, are you not terrified? Well, I >> guess I should have done a little bit better >> job of managing guests this quota and historically just can. I might have had some conflict here because creating all these new applications would admit my team now had a massive back like tickets to work on. But now, because of software operators, my human operators were able to run our infrastructure at scale. So since I'm long into the cluster here as the cluster admin, I get this view of pods across all projects. And so I get an idea of what's happening across the entire cluster. And so I could see now we have four hundred ninety four pods already running, and there's a few more still starting up. And if I scroll to the list, we can see the different workloads Jessica just mentioned of Tomcats. And no Gs is And Jenkins is and and Siegel servers down here too, you know, I see continues >> creating and you have, like, close to five hundred pods running >> there. So, yeah, filters list down by secret server, so we could just see. Okay, But >> aren't you not >> running going around a cluster capacity at some point? >> Actually, yeah, we we definitely have a limited capacity in this cluster. And so, luckily, though, we already set up auto scale er's And so because the additional workload was launching, we see now those outer scholars have kicked in and some new machines are being created that don't yet have noticed. I'm because they're still starting up. And so there's another good view of this as well, so you can see machine sets. We have one machine set per availability zone, and you could see the each one is now scaling from ten to twelve machines. And the way they all those killers working is for each availability zone, they will. If capacities needed, they will add additional machines to that availability zone and then later effect fast. He's no longer needed. It will automatically take those machines away. >> That is incredible. So right now we're auto scaling across multiple available zones based on load. Okay, so looks like capacity planning and automation is fully, you know, handle this point. But I >> do have >> another question for year logged in. Is the cluster admin right now into the console? Can you show us your view of >> operator suffer operators? Actually, there's a couple of unique views here for operators, for Cluster admits. The first of those is operator Hub. This is where a cluster admin gets the ability to curate the experience of what operators are available to users of the cluster. And so obviously we already have the secret server operator installed, which which we've been using. The other unique view is operator management. This gives a cluster I've been the ability to maintain the operators they've already installed. And so if we dig in and see the secret server operator, well, see, we haven't set up for manual approval. And what that means is if a new update comes in for a single server, then a cluster and we would have the ability to approve or disapprove with that update before installs into the cluster, we'LL actually and there isn't upgrade that's available. Uh, I should probably wait to install this, though we're in the middle of scaling out this cluster. And I really don't want to disturb Jessica's application. Workflow. >> Yeah, so, actually, Dan, it's fine. My app is already up. It's running. Let me show it to you over here. So this is our products application that's talking to that sequel server instance. And for debugging purposes, we can see which version of sequel server we're currently talking to. Its two point two right now. And then which pod? Since this is a cluster, there's more than one secret server pod we could be connected to. Okay, I could see right there the bounder screeners they know to point to. That's the version we have right now. But, you know, >> this is kind of >> point of software operators at this point. So, you know, everyone in this room, you know, wants to see you hit that upgrade button. Let's do it. Live here on stage. Right, then. All >> right. All right. I could see where this is going. So whenever you updated operator, it's just like any other resource on communities. And so the first thing that happens is the operator pot itself gets updated so we actually see a new version of the operator is currently being created now, and what's that gets created, the overseer will be terminated. And that point, the new, softer operator will notice. It's now responsible for managing lots of existing Siegel servers already in the environment. And so it's then going Teo update each of those sickle servers to match to the new version of the single server operator and so we could see it's running. And so if we switch now to the all projects view and we filter that list down by sequel server, then we should be able to see us. So lots of these sickle servers are now being created and the old ones are being terminated. So is the rolling update across the cluster? Exactly a So the secret server operator Deploy single server and an H A configuration. And it's on ly updates a single instance of secret server at a time, which means single server always left in nature configuration, and Jessica doesn't really have to worry about downtime with their applications. >> Yeah, that's awesome dance. So glad the team doesn't have to worry about >> that anymore and just got I think enough of these might have run by Now, if you try your app again might be updated. >> Let's see Jessica's application up here. All right. On laptop three. >> Here we go. >> Fantastic. And yet look, we're We're into two before we're onto three. Now we're on to victory. Excellent on. >> You know, I actually works so well. I don't even see a reason for us to leave this on manual approval. So I'm going to switch this automatic approval. And then in the future, if a new single server comes in, then we don't have to do anything, and it'll be all automatically updated on the cluster. >> That is absolutely fantastic. And so I was glad you guys got a chance to see that rolling update across the cluster. That is so cool. The Secret Service database being automated and fully updated. That is fantastic. Alright, so I can see how a software operator doesn't able. You don't manage hundreds if not thousands of applications. I know a lot of folks or interest in the back in infrastructure. Could you give us an example of the infrastructure >> behind this console? Yeah, absolutely. So we all know that open shift is designed that run in lots of different environments. But our teams think that as your redhead over, Schiff provides one of the best experiences by deeply integrating the open chief Resource is into the azure console, and it's even integrated into the azure command line toll and the easy open ship man. And, as was announced yesterday, it's now available for everyone to try out. And there's actually one more thing we wanted to show Everyone related to open shit, for this is all so new with a penchant for which is we now have multi cluster management. This gives you the ability to keep track of all your open shift environments, regardless of where they're running as well as you can create new clusters from here. And I'll dig into the azure cluster that we were just taking a look at. >> Okay, but is this user and face something have to install them one of my existing clusters? >> No, actually, this is the host of service that's provided by Red hat is part of cloud that redhead that calm and so all you have to do is log in with your red hair credentials to get access. >> That is incredible. So one console, one user experience to see across the entire hybrid cloud we saw earlier with Red update. Right and red embers. Thank Satan. Now we see it for multi cluster management. But home shift so you can fundamentally see. Now the suffer operators do finally change the game when it comes to making human operators vastly more productive and, more importantly, making Devon ops work more efficiently together than ever before. So we saw the rich ice vehicle system of those software operators. We can manage them across the Khyber Cloud with any, um, shift instance. And more importantly, I want to say Dan and Jessica for helping us with this demonstration. Okay, fantastic stuff, guys. Thank you so much. Let's get Paul back out here >> once again. Thanks >> so much to burn his team. Jessica and Dan. So you've just seen how open shift operators can help you manage hundreds, even thousands of applications. Install, upgrade, remove nodes, control everything about your application environment, virtual physical, all the way out to the cloud making, making things happen when the business demands it even at scale, because that's where it's going to get. Our next guest has lots of experience with demand at scale. and they're using open source container management to do it. Their work, their their their work building a successful cloud, First platform and there, the twenty nineteen Innovation Award winner. >> Please welcome twenty nineteen Innovation Award winner. Cole's senior vice president of technology, Rich Hodak. >> How you doing? Thanks. >> Thanks so much for coming out. We really appreciate it. So I guess you guys set some big goals, too. So can you baby tell us about the bold goal? Helped you personally help set for Cole's. And what inspired you to take that on? Yes. So it was twenty seventeen and life was pretty good. I had no gray hair and our business was, well, our tech was working well, and but we knew we'd have to do better into the future if we wanted to compete. Retails being disrupted. Our customers are asking for new experiences, So we set out on a goal to become an open hybrid cloud platform, and we chose Red had to partner with us on a lot of that. We set off on a three year journey. We're currently in Year two, and so far all KP eyes are on track, so it's been a great journey thus far. That's awesome. That's awesome. So So you Obviously, Obviously you think open source is the way to do cloud computing. So way absolutely agree with you on that point. So So what? What is it that's convinced you even more along? Yeah, So I think first and foremost wait, do we have a lot of traditional IAS fees? But we found that the open source partners actually are outpacing them with innovation. So I think that's where it starts for us. Um, secondly, we think there's maybe some financial upside to going more open source. We think we can maybe take some cost out unwind from these big fellas were in and thirdly, a CZ. We go to universities. We started hearing. Is we interviewed? Hey, what is Cole's doing with open source and way? Wanted to use that as a lever to help recruit talent. So I'm kind of excited, you know, we partner with Red Hat on open shift in in Rail and Gloucester and active M Q and answerable and lots of things. But we've also now launched our first open source projects. So it's really great to see this journey. We've been on. That's awesome, Rich. So you're in. You're in a high touch beta with with open shift for So what? What features and components or capabilities are you most excited about and looking forward to what? The launch and you know, and what? You know what? What are the something maybe some new goals that you might be able to accomplish with with the new features. And yeah, So I will tell you we're off to a great start with open shift. We've been on the platform for over a year now. We want an innovation award. We have this great team of engineers out here that have done some outstanding work. But certainly there's room to continue to mature that platform. It calls, and we're excited about open shift, for I think there's probably three things that were really looking forward to. One is we're looking forward to, ah, better upgrade process. And I think we saw, you know, some of that in the last demo. So upgrades have been kind of painful up until now. So we think that that that will help us. Um, number two, A lot of our open shift workloads today or the workloads. We run an open shifts are the stateless apse. Right? And we're really looking forward to moving more of our state full lapse into the platform. And then thirdly, I think that we've done a great job of automating a lot of the day. One stuff, you know, the provisioning of, of things. There's great opportunity o out there to do mohr automation for day two things. So to integrate mohr with our messaging systems in our database systems and so forth. So we, uh we're excited. Teo, get on board with the version for wear too. So, you know, I hope you, Khun, we can help you get to the next goals and we're going to continue to do that. Thank you. Thank you so much rich, you know, all the way from from rail toe open shift. It's really exciting for us, frankly, to see our products helping you solve World War were problems. What's you know what? Which is. Really? Why way do this and and getting into both of our goals. So thank you. Thank you very much. And thanks for your support. We really appreciate it. Thanks. It has all been amazing so far and we're not done. A critical part of being successful in the hybrid cloud is being successful in your data center with your own infrastructure. We've been helping our customers do that in these environments. For almost twenty years now, we've been running the most complex work loads in the world. But you know, while the public cloud has opened up tremendous possibilities, it also brings in another type of another layer of infrastructure complexity. So what's our next goal? Extend your extend your data center all the way to the edge while being as effective as you have been over the last twenty twenty years, when it's all at your own fingertips. First from a practical sense, Enterprises air going to have to have their own data centers in their own environment for a very long time. But there are advantages of being able to manage your own infrastructure that expand even beyond the public cloud all the way out to the edge. In fact, we talked about that very early on how technology advances in computer networking is storage are changing the physical boundaries of the data center every single day. The need, the need to process data at the source is becoming more and more critical. New use cases Air coming up every day. Self driving cars need to make the decisions on the fly. In the car factory processes are using a I need to adapt in real time. The factory floor has become the new edge of the data center, working with things like video analysis of a of A car's paint job as it comes off the line, where a massive amount of data is on ly needed for seconds in order to make critical decisions in real time. If we had to wait for the video to go up to the cloud and back, it would be too late. The damage would have already been done. The enterprise is being stretched to be able to process on site, whether it's in a car, a factory, a store or in eight or nine PM, usually involving massive amounts of data that just can't easily be moved. Just like these use cases couldn't be solved in private cloud alone because of things like blatant see on data movement, toe address, real time and requirements. They also can't be solved in public cloud alone. This is why open hybrid is really the model that's needed in the only model forward. So how do you address this class of workload that requires all of the above running at the edge? With the latest technology all its scale, let me give you a bit of a preview of what we're working on. We are taking our open hybrid cloud technologies to the edge, Integrated with integrated with Aro AM Hardware Partners. This is a preview of a solution that will contain red had open shift self storage in K V M virtual ization with Red Hat Enterprise Lennox at the core, all running on pre configured hardware. The first hardware out of the out of the gate will be with our long time. Oh, am partner Del Technologies. So let's bring back burn the team to see what's right around the corner. >> Please welcome back to the stage. Red Hat. Global director of developer Experience burst Sutter with Kareema Sharma. Okay, We just how was your Foreign operators have redefined the capabilities and usability of the open hybrid cloud, and now we're going to show you a few more things. Okay, so just be ready for that. But I know many of our customers in this audience right now, as well as the customers who aren't even here today. You're running tens of thousands of applications on open chef clusters. We know that disappearing right now, but we also know that >> you're not >> actually in the business of running terminators clusters. You're in the business of oil and gas from the business retail. You're in a business transportation, you're in some other business and you don't really want to manage those things at all. We also know though you have lo latest requirements like Polish is talking about. And you also dated gravity concerns where you >> need to keep >> that on your premises. So what you're about to see right now in this demonstration is where we've taken open ship for and made a bare metal cluster right here on this stage. This is a fully automated platform. There is no underlying hyper visor below this platform. It's open ship running on bare metal. And this is your crew vanities. Native infrastructure, where we brought together via mes containers networking and storage with me right now is green mush arma. She's one of her engineering leaders responsible for infrastructure technologies. Please welcome to the stage, Karima. >> Thank you. My pleasure to be here, whether it had summit. So let's start a cloud. Rid her dot com and here we can see the classroom Dannon Jessica working on just a few moments ago From here we have a bird's eye view ofthe all of our open ship plasters across the hybrid cloud from multiple cloud providers to on premises and noticed the spare medal last year. Well, that's the one that my team built right here on this stage. So let's go ahead and open the admin console for that last year. Now, in this demo, we'LL take a look at three things. A multi plaster inventory for the open Harbor cloud at cloud redhead dot com. Second open shift container storage, providing convert storage for virtual machines and containers and the same functionality for cloud vert and bare metal. And third, everything we see here is scuba unit is native, so by plugging directly into communities, orchestration begin common storage. Let working on monitoring facilities now. Last year, we saw how continue native actualization and Q Bert allow you to run virtual machines on Cabinet is an open shift, allowing for a single converge platform to manage both containers and virtual machines. So here I have this dark net project now from last year behead of induced virtual machine running it S P darknet application, and we had started to modernize and continue. Arise it by moving. Parts of the application from the windows began to the next containers. So let's take a look at it here. I have it again. >> Oh, large shirt, you windows. Earlier on, I was playing this game back stage, so it's just playing a little solitaire. Sorry about that. >> So we don't really have time for that right now. Birds. But as I was saying, Over here, I have Visions Studio Now the window's virtual machine is just another container and open shift and the i d be service for the virtual machine. It's just another service in open shift open shifts. Running both containers and virtual machines together opens a whole new world of possibilities. But why stop there? So this here be broadened to come in. It is native infrastructure as our vision to redefine the operation's off on premises infrastructure, and this applies to all matters of workloads. Using open shift on metal running all the way from the data center to the edge. No by your desk, right to main benefits. Want to help reduce the operation casts And second, to help bring advance good when it is orchestration concept to your infrastructure. So next, let's take a look at storage. So open shift container storage is software defined storage, providing the same functionality for both the public and the private lads. By leveraging the operator framework, open shift container storage automatically detects the available hardware configuration to utilize the discs in the most optimal vein. So then adding my note, you don't have to think about how to balance the storage. Storage is just another service running an open shift. >> And I really love this dashboard quite honestly, because I love seeing all the storage right here. So I'm kind of curious, though. Karima. What kind of storage would you What, What kind of applications would you use with the storage? >> Yeah, so this is the persistent storage. To be used by a database is your files and any data from applications such as a Magic Africa. Now the A Patrick after operator uses school, been at this for scheduling and high availability, and it uses open shift containers. Shortest. Restore the messages now Here are on premises. System is running a caf co workload streaming sensor data on DH. We want toe sort it and act on it locally, right In a minute. A place where maybe we need low latency or maybe in a data lake like situation. So we don't want to send the starter to the cloud. Instead, we want to act on it locally, right? Let's look at the griffon a dashboard and see how our system is doing so with the incoming message rate of about four hundred messages for second, the system seems to be performing well, right? I want to emphasize this is a fully integrated system. We're doing the testing An optimization sze so that the system can Artoo tune itself based on the applications. >> Okay, I love the automated operations. Now I am a curious because I know other folks in the audience want to know this too. What? Can you tell us more about how there's truly integrated communities can give us an example of that? >> Yes. Again, You know, I want to emphasize everything here is managed poorly by communities on open shift. Right. So you can really use the latest coolest to manage them. All right. Next, let's take a look at how easy it is to use K native with azure functions to script alive Reaction to a live migration event. >> Okay, Native is a great example. If actually were part of my breakout session yesterday, you saw me demonstrate came native. And actually, if you want to get hands on with it tonight, you can come to our guru night at five PM and actually get hands on like a native. So I really have enjoyed using K. Dated myself as a software developer. And but I am curious about the azure functions component. >> Yeah, so as your functions is a function is a service engine developed by Microsoft fully open source, and it runs on top of communities. So it works really well with our on premises open shift here. Right now, I have a simple azure function that I already have here and this azure function, you know, Let's see if this will send out a tweet every time we live My greater Windows virtual machine. Right. So I have it integrated with open shift on DH. Let's move a note to maintenance to see what happens. So >> basically has that via moves. We're going to see the event triggered. They trigger the function. >> Yeah, important point I want to make again here. Windows virtue in machines are equal citizens inside of open shift. We're investing heavily in automation through the use of the operator framework and also providing integration with the hardware. Right, So next, Now let's move that note to maintain it. >> But let's be very clear here. I wanna make sure you understand one thing, and that is there is no underlying virtual ization software here. This is open ship running on bear. Meddle with these bare metal host. >> That is absolutely right. The system can automatically discover the bare metal hosts. All right, so here, let's move this note to maintenance. So I start them Internets now. But what will happen at this point is storage will heal itself, and communities will bring back the same level of service for the CAFTA application by launching a part on another note and the virtual machine belive my great right and this will create communities events. So we can see. You know, the events in the event stream changes have started to happen. And as a result of this migration, the key native function will send out a tweet to confirm that could win. It is native infrastructure has indeed done the migration for the live Ian. Right? >> See the events rolling through right there? >> Yeah. All right. And if we go to Twitter? >> All right, we got tweets. Fantastic. >> And here we can see the source Nord report. Migration has succeeded. It's a pretty cool stuff right here. No. So we want to bring you a cloud like experience, but this means is we're making operational ease a fuse as a top goal. We're investing heavily in encapsulating management knowledge and working to pre certify hardware configuration in working with their partners such as Dell, and they're dead already. Note program so that we can provide you guidance on specific benchmarks for specific work loads on our auto tuning system. >> All right, well, this is tow. I know right now, you're right thing, and I want to jump on the stage and check out the spare metal cluster. But you should not right. Wait After the keynote didn't. Come on, check it out. But also, I want you to go out there and think about visiting our partner Del and their booth where they have one. These clusters also. Okay, So this is where vmc networking and containers the storage all come together And a Kurban in his native infrastructure. You've seen right here on this stage, but an agreement. You have a bit more. >> Yes. So this is literally the cloud coming down from the heavens to us. >> Okay? Right here, Right now. >> Right here, right now. So, to close the loop, you can have your plaster connected to cloud redhead dot com for our insights inside reliability engineering services so that we can proactively provide you with the guidance through automated analyses of telemetry in logs and help flag a problem even before you notice you have it Beat software, hardware, performance, our security. And one more thing. I want to congratulate the engineers behind the school technology. >> Absolutely. There's a lot of engineers here that worked on this cluster and worked on the stack. Absolutely. Thank you. Really awesome stuff. And again do go check out our partner Dale. They're just out that door I can see them from here. They have one. These clusters get a chance to talk to them about how to run your open shift for on a bare metal cluster as well. Right, Kareema, Thank you so much. That was totally awesome. We're at a time, and we got to turn this back over to Paul. >> Thank you. Right. >> Okay. Okay. Thanks >> again. Burned, Kareema. Awesome. You know, So even with all the exciting capabilities that you're seeing, I want to take a moment to go back to the to the first platform tenant that we learned with rail, that the platform has to be developer friendly. Our next guest knows something about connecting a technology like open shift to their developers and part of their company. Wide transformation and their ability to shift the business that helped them helped them make take advantage of the innovation. Their Innovation award winner this year. Please, Let's welcome Ed to the stage. >> Please welcome. Twenty nineteen. Innovation Award winner. BP Vice President, Digital transformation. Ed Alford. >> Thanks, Ed. How your fake Good. So was full. Get right into it. What we go you guys trying to accomplish at BP and and How is the goal really important in mandatory within your organization? Support on everyone else were global energy >> business, with operations and over seventy countries. Andi. We've embraced what we call the jewel challenge, which is increasing the mind for energy that we have as individuals in the world. But we need to produce the energy with fuel emissions. It's part of that. One of our strategic priorities that we >> have is to modernize the whole group on. That means simplifying our processes and enhancing >> productivity through digital solutions. So we're using chlo based technologies >> on, more importantly, open source technologies to clear a community and say, the whole group that collaborates effectively and efficiently and uses our data and expertise to embrace the jewel challenge and actually try and help solve that problem. That's great. So So how did these heart of these new ways of working benefit your team and really the entire organ, maybe even the company as a whole? So we've been given the Innovation Award for Digital conveyor both in the way it was created and also in water is delivering a couple of guys in the audience poll costal and brewskies as he they they're in the team. Their teams developed that convey here, using our jail and Dev ops and some things. We talk about this stuff a lot, but actually the they did it in a truly our jail and develops we, um that enabled them to experiment and walking with different ways. And highlight in the skill set is that we, as a group required in order to transform using these approaches, we can no move things from ideation to scale and weeks and days sometimes rather than months. Andi, I think that if we can take what they've done on DH, use more open source technology, we contain that technology and apply across the whole group to tackle this Jill challenge. And I think that we use technologists and it's really cool. I think that we can no use technology and open source technology to solve some of these big challenges that we have and actually just preserve the planet in a better way. So So what's the next step for you guys at BP? So moving forward, we we are embracing ourselves, bracing a clothed, forced organization. We need to continue to live to deliver on our strategy, build >> over the technology across the entire group to address the jewel >> challenge and continue to make some of these bold changes and actually get into and really use. Our technology is, I said, too addresses you'LL challenge and make the future of our planet a better place for ourselves and our children and our children's children. That's that's a big goal. But thank you so much, Ed. Thanks for your support. And thanks for coming today. Thank you very much. Thank you. Now comes the part that, frankly, I think his best part of the best part of this presentation We're going to meet the type of person that makes all of these things a reality. This tip this type of person typically works for one of our customers or with one of with one of our customers as a partner to help them make the kinds of bold goals like you've heard about today and the ones you'll hear about Maura the way more in the >> week. I think the thing I like most about it is you feel that reward Just helping people I mean and helping people with stuff you enjoy right with computers. My dad was the math and science teacher at the local high school. And so in the early eighties, that kind of met here, the default person. So he's always bringing in a computer stuff, and I started a pretty young age. What Jason's been able to do here is Mohr evangelize a lot of the technologies between different teams. I think a lot of it comes from the training and his certifications that he's got. He's always concerned about their experience, how easy it is for them to get applications written, how easy it is for them to get them up and running at the end of the day. We're a loan company, you know. That's way we lean on accounting like red. That's where we get our support front. That's why we decided to go with a product like open shift. I really, really like to product. So I went down. The certification are out in the training ground to learn more about open shit itself. So my daughter's teacher, they were doing a day of coding, and so they asked me if I wanted to come and talk about what I do and then spend the day helping the kids do their coding class. The people that we have on our teams, like Jason, are what make us better than our competitors, right? Anybody could buy something off the shelf. It's people like him. They're able to take that and mold it into something that then it is a great offering for our partners and for >> customers. Please welcome Red Hat Certified Professional of the Year Jason Hyatt. >> Jason, Congratulations. Congratulations. What a what a big day, huh? What a really big day. You know, it's great. It's great to see such work, You know that you've done here. But you know what's really great and shows out in your video It's really especially rewarding. Tow us. And I'm sure to you as well to see how skills can open doors for for one for young women, like your daughters who already loves technology. So I'd liketo I'd like to present this to you right now. Take congratulations. Congratulations. Good. And we I know you're going to bring this passion. I know you bring this in, everything you do. So >> it's this Congratulations again. Thanks, Paul. It's been really exciting, and I was really excited to bring my family here to show the experience. It's it's >> really great. It's really great to see him all here as well going. Maybe we could you could You guys could stand up. So before we leave before we leave the stage, you know, I just wanted to ask, What's the most important skill that you'LL pass on from all your training to the future generations? >> So I think the most important thing is you have to be a continuous learner you can't really settle for. Ah, you can't be comfortable on learning, which I already know. You have to really drive a continuous Lerner. And of course, you got to use the I ninety. Maxwell. Quite. >> I don't even have to ask you the question. Of course. Right. Of course. That's awesome. That's awesome. And thank you. Thank you for everything, for everything that you're doing. So thanks again. Thank you. You know what makes open source work is passion and people that apply those considerable talents that passion like Jason here to making it worked and to contribute their idea there. There's back. And believe me, it's really an impressive group of people. You know you're family and especially Berkeley in the video. I hope you know that the redhead, the certified of the year is the best of the best. The cream of the crop and your dad is the best of the best of that. So you should be very, very happy for that. I also and I also can't wait. Teo, I also can't wait to come back here on this stage ten years from now and present that same award to you. Berkeley. So great. You should be proud. You know, everything you've heard about today is just a small representation of what's ahead of us. We've had us. We've had a set of goals and realize some bold goals over the last number of years that have gotten us to where we are today. Just to recap those bold goals First bait build a company based solely on open source software. It seems so logical now, but it had never been done before. Next building the operating system of the future that's going to run in power. The enterprise making the standard base platform in the op in the Enterprise Olympics based operating system. And after that making hybrid cloud the architecture of the future make hybrid the new data center, all leading to the largest software acquisition in history. Think about it around us around a company with one hundred percent open source DNA without. Throughout. Despite all the fun we encountered over those last seventeen years, I have to ask, Is there really any question that open source has won? Realizing our bold goals and changing the way software is developed in the commercial world was what we set out to do from the first day in the Red Hat was born. But we only got to that goal because of you. Many of you contributors, many of you knew toe open source software and willing to take the risk along side of us and many of partners on that journey, both inside and outside of Red Hat. Going forward with the reach of IBM, Red hat will accelerate. Even Mohr. This will bring open source general innovation to the next generation hybrid data center, continuing on our original mission and goal to bring open source technology toe every corner of the planet. What I what I just went through in the last hour Soul, while mind boggling to many of us in the room who have had a front row seat to this overto last seventeen plus years has only been red hats. First step. Think about it. We have brought open source development from a niche player to the dominant development model in software and beyond. Open Source is now the cornerstone of the multi billion dollar enterprise software world and even the next generation hybrid act. Architecture would not even be possible without Lennox at the core in the open innovation that it feeds to build around it. This is not just a step forward for software. It's a huge leap in the technology world beyond even what the original pioneers of open source ever could have imagined. We have. We have witnessed open source accomplished in the last seventeen years more than what most people will see in their career. Or maybe even a lifetime open source has forever changed the boundaries of what will be possible in technology in the future. And in the one last thing to say, it's everybody in this room and beyond. Everyone outside continue the mission. Thanks have a great sum. It's great to see it

Published Date : May 11 2019

SUMMARY :

Ladies and gentlemen, please welcome Red Hat President Products and Technologies. Kennedy setting the gold to the American people to go to the moon. that point I knew that despite the promise of Lennox, we had a lot of work ahead of us. So it is an honor for me to be able to show it to you live on stage today. And we're not about the clinic's eight. And Morgan, There's windows. That means that for the first time, you can log in from any device Because that's the standard Lennox off site. I love the dashboard overview of the system, You see the load of the system, some some of its properties. So what about if I have to add a whole new application to this environment? Which the way for you to install different versions of your half stack that That is fantastic and the application streams Want to keep up with the fast moving ecosystems off programming I know some people were thinking it right now. everyone you want two or three or whichever your application needs. And I'm going to the rat knowledge base and looking up things like, you know, PV create VD, I've opened the storage space for you right here, where you see an overview of your storage. you know, we'll have another question for you. you know a lot of people, including me and people in the audience like that dark out right? much easier, including a post gra seeker and, of course, the python that we saw right there. Yeah, absolutely. And it's saved so that you don't actually have to know all the various incantations from Amazon I All right, Well, if you want to prevent a holy war in your system, you can actually use satellite to filter that out. Okay, So this VM image we just created right now from that blueprint this is now I can actually go out there and easily so you can really hit your Clyburn hybrid cloud operating system images. and I just need a few moments for it to build. So while that's taking a few moments, I know there's another key question in the minds of the audience right now, You see all my relate machines here, including the one I showed you what Consul on before. Okay, okay, so now it's progressing. it's progressing. live upgrade on stage. Detective that and you know, it doesn't run the Afghan cause we don't support operating that. So the good news is, we were protected from possible failed upgrade there, That's the idea. And I really love what you showed us there. So you were away for so long. So the really cool thing about this bird is that all of these images were built So thank you so much for that large. more to talk to you about. I'm going to show you here a satellite inventory and his So he's all the machines can get updated in one fell swoop. And there's one thing that I want to bring your attention to today because it's brand new. I know that in the minds of the audience right now. I've actually been waiting for a while patiently for you to get to the really good stuff. there's one more thing that I wanted to let folks know about. next eight and some features that we have there. So, actually, one of the key design principles of relate is working with our customers over the last twenty years to integrate OK, so we basically have this new feature. So And this is this list is growing every single day, so customers can actually opt in to the rules that are most But it comes to CVS and things that nature. This is the satellite that we saw before, and I'll grab one of the hosts and I love it so it's just a single command and you're ready to register this box right now. I'm going to show you one more thing. I know everyone's waiting for it as well, But hey, you're VM is ready. Yeah, insights is a really cool feature And I've got it in all my images already. the machines registering on cloud that redhead dot com ready to be managed. OK, so all those onstage PM's as well as the hybrid cloud VM should be popping in IRC Post Chris equals Well, We saw that in the overview, and I can actually go and get some more details about what this everybody to go try this like, we really need to get this thing going and try it out right now. don't know, sent about the room just yet. And even though it's really easy to get going on and we kind of, you know, when a little bit sideways here moments. I went brilliant. We hear about that all the time, as I just told Please welcome Lawrence Livermore National Laboratory. And thank thank you so much for coming for But first and foremost, our job is to ensure the safety, and for the geeks in the audience, I think there's a few of them out there. before And you know, Vendors seldom had a system anywhere near the size of ours, and we couldn't give them our classified open source, you know, for even open source existing. And if the security vulnerability comes out, we don't have to chase around getting fixes from Multan slo all the way to the extract excess Excuse scale supercomputing. share any more details about that system right now, but we are hoping that we're going to be able of the data center spread across so many multiple environments, management had to be I know all of you have heard we're talking to pretend to new customers about the travel out. Earlier we showed you read Enterprise Clinic St running on lots of In large part, that's because open shit for has extended management of the clusters down to the infrastructure, you can now see the machines that make up the cluster where machine represents the infrastructure. Thes software operators are responsible for aligning the cluster to a desired state. of Cooper Netease Technologies that have the operational characteristics that Dan's going to actually let us has made the sequel server operator available to me and my team. Okay, so this point we can kind of provisions, And if I scroll to the list, we can see the different workloads Jessica just mentioned Okay, But And the way they all those killers working is Okay, so looks like capacity planning and automation is fully, you know, handle this point. Is the cluster admin right now into the console? This gives a cluster I've been the ability to maintain the operators they've already installed. So this is our products application that's talking to that sequel server instance. So, you know, everyone in this room, you know, wants to see you hit that upgrade button. And that point, the new, softer operator will notice. So glad the team doesn't have to worry about that anymore and just got I think enough of these might have run by Now, if you try your app again Let's see Jessica's application up here. And yet look, we're We're into two before we're onto three. So I'm going to switch this automatic approval. And so I was glad you guys got a chance to see that rolling update across the cluster. And I'll dig into the azure cluster that we were just taking a look at. all you have to do is log in with your red hair credentials to get access. So one console, one user experience to see across the entire hybrid cloud we saw earlier with Red Thanks so much to burn his team. of technology, Rich Hodak. How you doing? center all the way to the edge while being as effective as you have been over of the open hybrid cloud, and now we're going to show you a few more things. You're in the business of oil and gas from the business retail. And this is your crew vanities. Well, that's the one that my team built right here on this stage. Oh, large shirt, you windows. open shift container storage automatically detects the available hardware configuration to What kind of storage would you What, What kind of applications would you use with the storage? four hundred messages for second, the system seems to be performing well, right? Now I am a curious because I know other folks in the audience want to know this too. So you can really use the latest coolest to manage And but I am curious about the azure functions component. and this azure function, you know, Let's see if this will We're going to see the event triggered. So next, Now let's move that note to maintain it. I wanna make sure you understand one thing, and that is there is no underlying virtual ization software here. You know, the events in the event stream changes have started to happen. And if we go to Twitter? All right, we got tweets. No. So we want to bring you a cloud like experience, but this means is I want you to go out there and think about visiting our partner Del and their booth where they have one. Right here, Right now. So, to close the loop, you can have your plaster connected to cloud redhead These clusters get a chance to talk to them about how to run your open shift for on a bare metal Thank you. rail, that the platform has to be developer friendly. Please welcome. What we go you guys trying to accomplish at BP and and How is the goal One of our strategic priorities that we have is to modernize the whole group on. So we're using chlo based technologies And highlight in the skill part of this presentation We're going to meet the type of person that makes And so in the early eighties, welcome Red Hat Certified Professional of the Year Jason Hyatt. So I'd liketo I'd like to present this to you right now. to bring my family here to show the experience. before we leave before we leave the stage, you know, I just wanted to ask, What's the most important So I think the most important thing is you have to be a continuous learner you can't really settle for. And in the one last thing to say, it's everybody in this room and

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Jesse Rothstein, ExtraHop | AWS re:Invent 2018


 

>> Live from Las Vegas, it's theCUBE. Covering AWS re:Invent 2018 Brought to you by Amazon Web Services, Intel, and their ecosystem partners. >> Hey, welcome back. And we're live here at Las Vegas AWS re:Invent 2018 live coverage from theCUBE. I'm John Furrier. Dave Vellante, my co-host, wall to wall coverage. Dave, six years covering Amazon, watching it grow. Watching it just an unstoppable force of new services. Web services being realized from the original vision years and many, many years ago, over a decade. Jesse Rothstein, CTO and co-founder of ExtraHops our next guest, welcome back to theCUBE, good to see you. >> Thanks for having me. >> So first of all before we get into the conversation, what's your take on this madness, here? It's pretty crazy. >> You know this is, I think this is my sixth year, as well, and this show must double in size every year. It's enormous, spread across so many venues, so much going on, it's almost overwhelming. >> I remember six years ago, we used to be on theCUBE, and I think we just kept the stream open, "Hey, come on up! We have an opening!" Now it's like two cubes, people tryin' to get on, no more room, we're dyin', we go as hard as we can, 16 interviews, hundreds of interviews, lots of change. So I got to ask you, what is your view of the ecosystem? Because back then, handful of players in there. You guys were one of 'em. Lot of opportunities around the rising tide here. What's your thought on the ecosystem evolution? >> Well, of course the ecosystem has grown, this show has really become recognized as the pre-eminent Cloud show, but I see some themes that I think have certainly solidified, for example I spent a bunch of time on the security track. That's the largest track by far, I'm told. They're actually breaking it out into a separate add-on conference coming up in the summer. So clearly there's a great deal of interest around Cloud security as organizations follow their... >> Did they actually announce for that security conference? >> They did, they did. >> Okay, so Boston in June, I think right? >> June, that's correct. They announced, I think, I don't want to mess up the dates, June, late June. >> I think June 26. Breaking News here, that's new information. That's a really good signal for Amazon. They're taking security serious. When I interviewed Andy Jassy last week, he said to me, "Security used to be a blocker. Oh the Cloud's not secure!" Couple short years ago, now it's actually competitive advantage, but still a lot more work to get done. Network layer all the way up, what's your take? Never done. >> Well, so that's what Andy says, and I think that I would rephrase that slightly differently. Security used to be a blocker and it used to be an area of anxiety and organizations would have huge debates around, you know, whether the Cloud is less secure, or not, inherently. I think, today, there's a lot more acceptance that the Cloud can be just as secure as on-prem or just as insecure. You know, for my view, it relies on the same people, processes, and technologies, that are inherently insecure as we have on-prem, and therefore it's just as insecure. There are some advantages, the Cloud has great API logging, building blocks like CloudTrail. New services like GuardDuty, but at the same time it's hard to hire Cloud security expertise, and there is an inherent opacity in public Cloud that I think is a real challenge for security. >> Well, and bad human behavior always trumps good security. >> Well, of course. >> Talk about ExtraHop, how you guys are navigating, you guys have been in the ecosystem for a while. Always an opportunity to grow, I love this TAM's expanding, huge expansion in the adjustable market, new use cases. What's up with you guys? Give us an update. Where's the value proposition resonating? What's the focus? >> Well you can probably tell from my interests that we see a lot of market pull and opportunity around Cloud security. ExtraHop is an analytics product for IT ops and security, so there's a certain segment of what we do for IT operations use cases. Delivering essentially a better level of service, we attach to use cases like Cloud migrations, and new application roll-outs. But we also have a cyber security offering, that's a very advanced offering, around network behavioral analytics, where we actually can detect suspicious behaviors and potential threats, bring them to your attention. And then since we leverage our broader analytics platform, you're a click away from being able to investigate or disposition these detections and see, hey is this something I really need to be concerned about. >> Give an example of some of the network behavior, because I think this is a real critical one, because with no perimeter, you got no surface area, you got API's, this is the preferred architecture but, you got to watch the traffic. How will you guys be specific and give an example. >> So, some of my favorite examples have to do with detecting when you've already been breached. Organizations have been investing in defense and depth for decades, you know, keep the attackers out at the perimeter, keep the attackers away from the endpoint, but how would you know if you've already been breached. And it turns out, your Verizon does a great data breach investigation report annually. And they determine that they're only nine or so behaviors that count for 90% of what all breaches do, what they look like. So, you look for things like, parts of the cyber security attaching. You look for reconnaissance, you look for lateral movement, you look for some form of ex-filtration. Where ExtraHop is taking this further, is that we've built sophisticated behavioral models. We're able to understand privilege. We're able to understand what are the most important systems in your environment, the most important instances. Who has administrative control over them, and then when that changes, you want to know about it, because maybe this thing, this instance, in an on-prem environment, could be like a contractor laptop, or an HVAC system. It now exercises some administrative control over a critical system, and it's never done that before. We bring that to your attention, maybe you want to take some automated action, and quarantine it right away, maybe you want to go through some sort of approval process and bring it to someone's attention. But either way, you want to know about it. >> I'm going to get your reaction to a comment I saw yesterday morning at a keynote on Teresa Carlson's breakfast, her public sector breakfast, Christine Halvorsen, FBI. Said, we're in a data crisis. And she talked about that they can't react to some of these bad events, and a lot of it's post event, That's the basic stuff they need now, and she said, I can't put the puzzle pieces together fast enough. So you're actually taking that from a network Ops standpoint, IT Ops. How do you get the puzzle pieces together fast? What's the secret? >> Well so, the first secret is that we're very focused on real time network data, and network telemetry. I often describe ExtraHop as like Splunk for the network. The idea requires completely different technology, but the idea's the same. Extract value and insight out of data you already have, but the advantage of the network for security, and what I love about it, is that, it's extremely real-time, it's as close to ground truth as you can get, It's very hard to hide from, and you can never turn it off. >> Yeah. >> So with all of those properties, network analytics, makes for, has just tremendous implications for cyber security. >> I mean honestly, you're visibly excited, I'm a data geek myself, but you made a good point, I want to double down on, is that, moving packets from A to B is movement. And movement is part of how you detect it right, so? >> It is, so packets itself, that's data in motion, but if you're only looking at the packets you're barely scratching the surface. Companies have tried to build security analytics based on flow data for a long time. And flow data, flow records, it's like a phone bill. It tells you who's talking to whom and how long they spoke, but there's no notion of what was said in the conversation. In order to do really high quality security analytics, you need to go much deeper. So we understand resources, we understand users, we understand what's normal, and we're not using statistical baselines, we're actually building predictive models around how we expect end points and instances to behave. And then when they deviate from their model, that's when we say, "Hey, there's something strange going on. >> That's the key point for you guys. >> And that means you can help me prioritize... >> Absolutely. >> Because that's the biggest challenge these guys have. They oftentimes don't know where to go, they don't know how to weight the different... >> So that's one challenge and I think another really big challenge, and we see this even with offerings that have been publicized recently, is that detection itself isn't good enough, that's just an alert cannon, and there was a session that actually talked about alarm deafness that occurs, it occurs in hospitals, and other environments, were all you get is these common alarms, and people stopped paying attention to them. So, in addition to the ability to perform high quality detections, you need a very streamline investigative work flow. You know, one click away so you can say, "Okay, what's going on here?" Is this something that requires additional investigation. >> Well, I think you guys are on the right track, and I think what's different about the Cloud is that, you know, they call the show re:invent, but rethinking, existing stuff for Cloud scale, is a different mindset, it's a holistic. Like, you're taking more of a holistic view saying, "I'm not going to focus on a quote packet path, or silo that I'm comfortable with, you kind of got to look at the bigger picture, and then have a data strategy, or a some competitive unique IP." >> I think that's an excellent summary. What I would add is that organizations, as they kind of follow their Cloud journey, we're seeing a lot of interest from security teams in particular, that don't want to do swivel chair integration. Where I have something on-prem and I have something in the Cloud. They want something much more holistic, much more unified. >> Seamless, automated. >> Much more seamless, much more automated. (laughing) You know, I sat in about five different securities track sections, and every single one of them kind of ended with the, "So we automated it with a Lambda Function." (laughing) Clearly a lot of capability for automation, in public Cloud. >> Jesse great to have you on theCube, CTO, Co-founder of ExtraHop. What's next for you? What's goin' on? What's next? >> Well, we continue to make really big investments on security, I wish I could say that cyber security would be done at some point, but it will never be done. It's an arms race. Right now I think we're seeing some really great advancements on the defense side, that will translate into big success. Always focusing on the data problem, as data goes from 10 gigabits to 100 gigabits. You know Amazon just announced their seat five accelerated 100 gigabit network adapter. Always looking at how can we extract more value from that data at scale. >> Leverage to power, leverage to power. Well, we got to get you back on the program. We're going to increase our cyber security coverage, we certainly will be at the security event, I didn't know it was announced publicly, June 26th and 27th, in Boston. Give or take a day on either side, could be 27th, 28th, 26th, 27th. This is a big move for Amazon, we'll be there. >> I think it is. >> Great job, live coverage here, from the floor, on the Expo floor at Amazon re:Invent in 2018, will be right back more Cube coverage, after this short break, two sets. We'll be right back. (soft electronic music)

Published Date : Nov 29 2018

SUMMARY :

Brought to you by Amazon Web Services, Intel, Jesse Rothstein, CTO and co-founder of ExtraHops So first of all before we get into the conversation, and this show must double in size every year. and I think we just kept the stream open, Well, of course the ecosystem has grown, June, that's correct. Network layer all the way up, what's your take? and organizations would have huge debates around, you know, Well, and bad human behavior What's up with you guys? and potential threats, bring them to your attention. Give an example of some of the network behavior, and then when that changes, you want to know about it, and she said, I can't put the puzzle pieces it's as close to ground truth as you can get, So with all of those properties, And movement is part of how you detect it right, so? you need to go much deeper. Because that's the biggest challenge these guys have. and people stopped paying attention to them. Well, I think you guys are on the right track, and I have something in the Cloud. and every single one of them kind of ended with the, Jesse great to have you on theCube, Always focusing on the data problem, Well, we got to get you back on the program. on the Expo floor at Amazon re:Invent in 2018,

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Yuanhao Sun, Transwarp | Big Data SV 2018


 

>> Announcer: Live, from San Jose, it's The Cube (light music) Presenting Big Data Silicon Valley. Brought to you by Silicon Angle Media, and its ecosystem partners. >> Hi, I'm Peter Burris and welcome back to Big Data SV, The Cube's, again, annual broadcast of what's happening in the big data marketplace here at, or adjacent to Strada here in San Jose. We've been broadcasting all day. We're going to be here tomorrow as well, over at the Forager eatery and place to come meander. So come on over. Spend some time with us. Now, we've had a number of great guests. Many of the thought leaders that are visiting here in San Jose today were on the big data marketplace. But I don't think any has traveled as far as our next guest. Yuanhao Sun is the ceo of Transwarp. Come all the way from Shanghai Yuanhao. It's once again great to see you on The Cube. Thank you very much for being here. >> Good to see you again. >> So Yuanhao, the Transwarp as a company has become extremely well known for great technology. There's a lot of reasons why that's the case, but you have some interesting updates on how the technology's being applied. Why don't you tell us what's going on? >> Okay, so, recently we announced the first order to the TPC-DS benchmark result. Our product, calling scepter, that is, SQL engine on top of Hadoop. We already add quite a lot of features, like dissre transactions, like a full SQL support. So that it can mimic, like oracle or the mutual, and also traditional database features so that we can pass the whole test. This single is also scalable, because it's distributed, scalable. So the large benchmark, like TPC-DS. It starts from 10 terabytes. SQL engine can pester without much trouble. >> So I know that there have been other firms that have claimed to pass TPCC-DS, but they haven't been audited. What does it mean to say you're audited? I'd presume that as a result, you've gone through some extremely stringent and specific tests to demonstrate that you can actually pass the entire suite. >> Yes, actually, there is a third party auditor. They already audit our test process and it results for the passed six, uh, five months. So it is fully audited. The reason why we can pass the test is because, actually, there's two major reasons for traditional databases. They are not scalable to the process large dataset. So they could not pass the test. For (mumbles) vendors, because the SQL engine, the features to reach enough to pass all the test. You know, there several steps in the benchmark, and the SQL queries, there are 99 queries, the syntax is not supported by all howve vendors yet. And also, the benchmark required to upload the data, after the queries, and then we run the queries for multiple concurrent users. That means you have to support disputed transactions. You have to make the upload data consistent. For howve vendors, the SQL engine on Hadoop. They haven't implemented the de-switch transaction capabilities. So that's why they failed to pass the benchmark. >> So I had the honor of traveling to Shanghai last year and going and speaking at your user conference and was quite impressed with the energy that was in the room as you announced a large number of new products. You've been very focused on taking what open source has to offer but adding significant value to it. As you said, you've done a lot with the SQL interfaces and various capabilities of SQL on top of Hadoop. Where is Transwarp going with its products today? How is it expanding? How is it being organizing? How is it being used? >> We group these products into three catalog, including big data, cloud, AI and the machine learning. So there are three categories. The big data, we upgrade the SQL engine, the stream engine, and we have a set of tools called adjustable studio to help people to streamline the big data operations. And the second part I lie is data cloud. We call it transwarp data cloud. So this product is going to be raised in early in May this year. So this product we build this product on top of common idiots. We provide how to buy the service, get a sense as service, air as a service to customers. A lot of people took credit multiple tenets. And they turned as isolated by network, storage, cpu. They free to create a clusters and speeding up on turning it off. So it can also scale hundreds of cost. So this is the, I think this is the first we implement, like, a network isolation and sweaty percendency in cobinets. So that it can support each day affairs and all how to components. And because it is elastic, just like car computing, but we run on bare model, people can consult the data, consult the applications in one place. Because all application and Hadoop components are conternalized, that means, we are talking images. We can spend up a very quickly and scale through a larger cluster. So this data cloud product is very interesting for large company, because they usually have a small IT team. But they have to provide a (mumbles), and a machine only capability to larger groups, like one found the people. So they need a convenient way to manage all these bigger clusters. And they have to isolate the resources. Even they need a bidding system. So this product is, we already have few big names in China, like China Post, Picture Channel, and Secret of Source Channel. So they are already applying this data cloud for their internal customers. >> And China has a, has a few people, so I presume that, you know, China Post for example, is probably a pretty big implementation. >> Yes so, they have a, but the IT team is, like less than 100 people, but they have to support thousands of users. So that's why they, you usually would deploy 100 cluster for each application, right, but today, for large organization, they have lots of applications. They hope to leverage big data capability, but a very small team, IT team, can also part of so many applications. So they need a convenient the way like a, just like when you put Hadoop on public cloud. We provide a product that allows you to provide a hardware service in private cloud on bare model machines. So this is the second product category. And the third is the machine learning and artificial intelligence. We provide a data sales platform, a machine learning tool, that is, interactive tools that allows people to create the machine only pipelines and models. We even implemented some automatic modeling capability that allow you to, to fisher in youring automatically or seeming automatically and to select the best items for you so that the machine learning can be, so everyone can be at Los Angeles. So they can use our tool to quickly create a models. And we also have some probuter models for different industry, like financial service, like banks, security companies, even iot. So we have different probuter machine only models for them. We just need to modify the template, then apply the machine only models to the applications very quickly. So that probably like a lesson, for example, for a bank customer, they just use it to deploy a model in one week. This is very quick for them. Otherwise, in the past, they have a company to build that application, to develop much models. They usually takes several months. Today it is much faster. So today we have three categories, particularly like cloud and machine learning. >> Peter Burris: Machine learning and AI. >> And so three products. >> And you've got some very, very big implementations. So you were talking about a couple of banks, but we were talking, before we came on, about some of the smart cities. >> Yuanhao Sun: Right. Kinds of things that you guys are doing at enormous scale. >> Yes, so we deploy our streaming productor for more than 300 cities in China. So this cluster is like connected together. So we use streaming capability to monitor the traffic and send the information from city to the central government. So all the, the sort of essential repoetry. So whenever illegal behavior on the road is detected, that information will be sent to the policeman, or the central repoetry within two second. Whenever you are seen by the camera in any place in China, their loads where we send out within two seconds. >> So the bad behavior is detected. It's identified as the location. The system also knows where the nearest police person is. And it sends a message and says, this car has performed something bad. >> Yeah and you should stop that car in the next station or in the next crossroad. Today there are tens of thousands policeman. They depends on this system for their daily work. >> Peter Burris: Interesting. >> So, just a question on, it sounds like one of your, sort of nearest competitors, in terms of, let's take the open source community, at least the APIs, and in their case open source, Waway. Have their been customers that tried to do a POC with you and with Waway, and said, well it took four months using the pure open source stuff, and it took, say, two weeks with your stack having, being much broader and deeper? Are any examples like that? >> There are quite a lot. We have more macro-share, like in financial services, we have about 100 bank users. So if we take all banks into account, for them they already use Hadoop. So we, our macro-share is above 60%. >> George Gilbert: 60. >> Yeah, in financial services. We usually do POC and, like run benchmarks. They are real workloads and usually it takes us three days or one week. They can found, we can speed up their workload very quickly. For Bank of China, they might go to their oracle workload to our platform. And they test our platform and the huave platform too. So the first thing is they cannot marry the whole oracle workload to open source Hadoop, because the missing features. We are able to support all this workloads with very minor modifications. So the modification takes only several hours. And we can finish the whole workload within two hours, but originally they take, usually take oracle more than one day, >> George Gilbert: Wow. >> more than ten hours to finish the workload. So it is very easy to see the benefits quickly. >> Now the you have a streaming product also with that same SQL interface. Are you going to see a migration of applications that used to be batch to more near real time or continuous, or will you see a whole new set of applications that weren't done before, because the latency wasn't appropriate? >> For streaming applications, real time cases they are mostly new applications, but if we are using storm api or spark streaming api, it is not so easy to develop your applications. And another issue is once you detect one new rule, you had to add those rules dynamically to your cluster. So to add to your printer, they do not have so many knowledge of writing scholar codes. They only know how to configure. Probably they are familiar with c-code. They just need to add one SQL statement to add a new rule. So that they can. >> In your system. >> Yeah, in our system. So it is much easier for them to program streaming applications. And for those customers who they don't have real time equations, they hope to do, like a real time data warehousing. They collect all this data from websites from their censors, like Petrol Channel, an oil company, the large oil company. They collect all the (mumbles) information directly to our streaming product. In the past, they just accredit to oracle and around the dashboard. So it only takes hours to see the results. But today, the application can be moved through our streaming product with only a few modifications, because they are all SQL statements. And this application becomes the real time. They can see the real time dashboard results in several seconds. >> So Yuanhao, you're number one in China. You're moving more aggressively to participate in the US market. What's the, last question, what's the biggest difference between being number one in China, the way that big data is being done in China versus the way you're encountering big data being done here, certainly in the US, for example? Is there a difference? >> I think there are some difference. Some a seem, katsumoto usually request a POC. But in China, they usually, I think they focus more on the results. They focus on what benefit they can gain from your product. So we have to prove them. So we have to hip them to my great application to see the benefits. I think in US, they focus more on technology than Chinese customers. >> Interesting, so they're more on technology here in the US, more in the outcome in China. Once again, Yuanhao Sun, from, ceo of Transwarp, thank you very much for being on The Cube. >> Thank you. And I'm Peter Burris with George Gilbert, my co-host, and we'll be back with more from big data SV, in San Jose. Come on over to the Forager, and spend some time with us. And we'll be back in a second. (light music)

Published Date : Mar 8 2018

SUMMARY :

Brought to you by Silicon Angle Media, over at the Forager eatery and place to come meander. So Yuanhao, the Transwarp as a company has become So that it can mimic, like oracle or the mutual, to demonstrate that you can actually pass the entire suite. And also, the benchmark required to upload the data, So I had the honor of traveling to Shanghai last year So this product is going to be raised you know, China Post for example, and to select the best items for you So you were talking about a couple of banks, Kinds of things that you guys are doing at enormous scale. from city to the central government. So the bad behavior is detected. or in the next crossroad. and it took, say, two weeks with your stack having, So if we take all banks into account, So the first thing is they cannot more than ten hours to finish the workload. Now the you have a streaming product also So to add to your printer, So it only takes hours to see the results. to participate in the US market. So we have to prove them. in the US, more in the outcome in China. Come on over to the Forager, and spend some time with us.

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Eric Kohl, Ingram Micro | Fortinet Accelerate 2018


 

(upbeat music) >> Live from Las Vegas, it's theCUBE. Covering Fortinet Accelerate 18. Brought to you by Fortinet. >> Welcome back to theCUBEs continuing coverage of Fortinet Accelerate 2018. I'm Lisa Martin here in Las Vegas with my co-host Peter Burris and we're excited to welcome a Cuba alumni back to theCUBE, please welcome Eric Kohl, the VP of Advanced Solutions from Ingram Micro. Welcome back! >> Thank you, thanks for having me back. Excited to be here. >> Yes, we're very excited. So tell us, what's new? We talked to you last year at this event, what's new and Ingram? Tell us about your role there and the things that are all exciting Ingram Micro. >> Yeah, brand-new for me. I'm in my 20th year at Ingram Micro. I lead our security practice for Ingram Micro U.S. and I have responsibility for sales, vendor management, strategy and execution on behalf of our manufacturer partners. It's a ever evolving space. It's such a great space to be in, I love watching the news every day. You know there's going to be some big logo but just as much fun as I have watching those, that's some of these small breaches that you don't hear about and it's just fascinating. So much more exciting than virtualization. (laughs) >> Some might argue with that. So tell us about the partnership that you guys have with Fortinet. How has that evolved over your time there? >> Yeah so been at Ingram for 10 and I've been working with Fortinet for, I'm sorry I've been at Ingram for 20 and been with Fortinet for over 10, back to when we signed the contract together. Just a very great partnership. They're our security partner of the year, last year. Good friends, excited to see John Bove back leading channels back to Fortinet and you know, we both invest in each other's success and so I think that's pretty unique. Huge investment for them here, having an event like this. Not every company does it but to bring everybody together where you can have security conversations get on the same page, it's extremely valuable, huge investment, and we're proud to be a sponsor. >> I'd love to chat about a little bit of the evolution that you've seen at Fortinet in the last 10 years as we look at, you mentioned breaches. I mean, there were some very notable things that happened in 2017. How have you seen the evolution from them on a security transformation standpoint as it relates to your customers and digital transformation. >> Yeah, so I mean it's something that we see every day from you know, as you know we sell to and through partners but you know, one thing obviously is their breath of solutions has expanded. But you know, also things that partners are asking us today is how is this technology being consumed? And in the face of digital transformation, that's a huge value point because ultimately we want to help our partners to architect, recommend the right technology to solve that business problem and then how do you want to consume it? How does your want to your client want to consume that? So I think that's one of the biggest kind of trends that we're seeing right now. >> So as you think about where you've come from to where you are and we'll talk a little bit about where you think might go, what were the stories you told about security 10 years ago? And how are they different from the stories you're telling about security today? >> I would say it's changed from my perspective because at Ingram, we have never ever been a services company like we are today. And so what I mean by that is, we wrap our services, partner services around the Fortinet solution to make it stronger. 10 years ago I would say we are living more in the traditional distribution role of hey, how do we get a box from here to there? Certainly channel enablement, we've been doing that for a long time but our offering of services to help drive demand is incredibly strong. You know, we work with Fortinet for example, on their threat assessment program and we have an engineer that can go and help. Our partners understand to do that, it's a huge partner ecosystem and so we've got to help them with all those channel enablement efforts. >> What are some of the biggest security challenges that you're hearing, say in the last year or so through the channel, that your partnership with Fortinet can help address? >> You know, it's all around complexity and that as you have likely heard that the shortage of folks that can get out and do some of these services have limitations. There's incredibly high demand for services, you know we're serving a channel ecosystem of roughly 12,000 companies that are buying security technology from us, all with varying degrees of capability and so we've really got to help them understand, hey, how can we help you deploy these services, etc. >> So as you imagine then the steps associated with helping the customer, the roles and relationships between Fortinet, Ingram, and your partners also must be evolving. So how is, as a person responsible for ensuring that that stays bound together in a coherent way for customers, how are you seeing that changing? >> Well you know, look it's a three-legged stool. (laughs) It's us, it's Fortinet and that's our partner community and we're reliant on each other to go and be successful in the market. Look, we couldn't be as great as we are working with our Fortinet channel ecosystem if we didn't have the support of Fortinet, the investments they make, the team that they have wrapped around our business, the team we've put in place wrapped around their business so that's kind of what I'm seeing there. >> They shared a lot of momentum not only in the keynotes this morning but also a number of the guests that we've had on the show today in terms of what Fortinet achieved last year. 1.8 billion in billing, nearly 18 thousand new customers acquired, a lot of momentum, a lot of numbers, I love that theme of the event today. So if we look at some of the things that were shared by Kenzie this morning for example, like I mentioned that the customer numbers and even talking about what they're doing to protect 90% of customers in the global S&P 100 and showed some some big brands there. Tell us a little bit about the partnership and how you're leveraging the momentum of what Fortinet is able to do in terms of capturing customers. How does that momentum translate and really kind of maybe fuel Ingram and what you're able to do? >> Well look, I mean there's incredible demand in security today. There was a slide that they showed this morning and I think it was the perfect storm. I like to call the security space a beautiful disaster. It's a mess, it's complicated, it's scary, the threat attacks are you know new and different and they're never going to stop but it again comes back to hey, how do we work together to kind of harness this? How do we go and there's a great partner community here, lots of our friends are here but they can't all be here. So we want to be able to help take that message out to our channel partners that were not here. Things like that. >> What are some of, oh sorry, go ahead Peter. >> I was going to say so Ingram, Ingram itself has changed. You said you've now, are now introducing security or you're introducing more services. So how is that.. How is security leading that charge to move from a more of a product and a distributor to now services? Is security one of the reasons why Ingram is going in that direction? >> It's one of them. I joked on virtualization but there's a lot of services that we can wrap around and I think, obviously there's a high demand of services and we will lead with Fortinet services and solutions where we can. We want our partners to lead with theirs but really we've hired people to go out do assessments. We have a partner ecosystem where, hey I can't get down to New Mexico to do an install. We have a partner network where they can tap into that and make sure that everything is installed correctly, all the features are turned on. You think about all these breaches that happen in the news, it's not that they didn't have the technology, they missed an alert or they didn't have it all deployed. We want to be able to help our partners solve for that. >> Along the partnership front, what are some of the things that excite you about the Fabric-Ready Partner Program and the announcements they've made today? >> Yeah, love it. Look Fortinet has built comprehensive end-to-end solutions within their Fortinet, I'm sorry, for their Fabric ecosystem but they've also recognized that they can't do it all alone and so they've introduced a lot of partners into that. And so what's exciting for me, leading our security category is, hey how do we bring new partners into our ecosystem too? Because it is a differentiator for Ingram to be able to provide multi-vendor solutions. To have somebody you can go to to say, how does SentinelOne work with for Fortinet Fabric? Those types of things, those conversations are happening all the time. >> Another thing that was announced today was what they're doing with with AI. Tell us a little bit about that and how are you seeing what they're going to be able to do with AI as an advantage for your partners and customers. >> Again the artificial intelligence, machine learning, it all goes back to making the technology easier to use. I still think, you think intelligence and I think back to the human factor. Some of these big breaches, look the threat actors are going to get in but how you recover from a breach, I think if we could inject some artificial intelligence into some of these companies that haven't figured out how to successfully pivot. You know paying your hacker a hundred thousand dollars to keep quiet is not the answer but I think that some of these machine learning things are going to make it easier. It's going to be easier to manage the alerts that are happening every day. So anything that helps eliminate, as they said today, the enemy of security is complexity. Things that help to discover these threats and remediate against them, all good stuff for our partners. >> On the enablement side, when we were talking with the channel chief, John Bove, earlier today and talking about sort of this long history of partner focused culture at Fortinet. Tell us about that in terms of the enablement that you're able to glean from them and then pass on to your channels in terms of selling strategies, marketing to, marketing through. What are some of the things that-- >> Look, we have an amazing team. John Bove, Curt Stratton, the folks that really spent so much time working with Ingram and then we've built an amazing team. I think we have 12 people from our company here at this event to make sure we're making the most out of it but you know. If you heard, we're at The Cosmo. They have Secret Pizza, have you been there? Have you heard about it? >> Lisa: No, Secret Pizza? >> Yeah, it's amazing, it's pretty good, okay. (laughs) >> You didn't bring any, I noticed that but continue. >> I didn't but it's secret not-so-secret pizza but we have some secret not so secret weapons. Jenna Tombolesi an NSE 7. She's one of the highest certified engineers on the planet and she works for Ingram Micro helping to technically enable some of our partners. We've got a guy by the name of Will The Thrill Sharland and The Thrill is out talking to partners every single day, helping them to be more profitable, trusted security advisors helping them through anything you can imagine from a channel enablement perspective. And then just huge teams of people that we go to serve this big market together. >> Are you seeing any vertical specificities? When Ken was sharing some slides this morning, they were talking about, they showed some verticals from a kind of market share perspective but I'm curious some of the verticals that kind of come to mind where security is concerned that maybe are a little bit more elevated than some of the others in terms of risk or health care education and financial services. Maybe Fed, SLED, are you seeing any verticals in particular, maybe those that are really going to be kind of having to be leading-edge, where security transformation is concerned? >> They have to be. Think about health care and when they're big ransomware attack hit last year. There's guys on CNN saying, they had to postpone my surgery because ransomware head. I mean that's life-and-death stuff there but I don't think there's any vertical that's immune to what's going on today. So I think you know regardless of your vertical, you have to be prepared, you have to choose the right technology, and choose the right partner to help you implement it. >> If you imagine where Ingram's going to go with this relationship, what kinds of things are you looking to be able to do as a consequence of great strong partnership with Fortinet. >> Look, the way that companies want to consume technology is changing in the space of digital transformation. Once we work with Fortinet and the partner to recommend the right technology and I mentioned this, like how do you want to consume it? Is it public cloud, is it AWS, or Azure? We have an answer for that today is that hey, it's on premise but I need some creative financing to help close this deal to solve a budget constraint. We have an answer for that. There's several variations of that but however that technology wants to be consumed, we have an answer together. So I think that's a testament to the strength of our relationship. >> And I think one of the words that I saw in, at least one of the press releases, was adaptability. Adaptability of some of the technologies and even John Madison was kind of talking about how customers can go, I've got 20-plus security products, how do I start this Fabric? And that word adaptability kind of jumped out at me as how do you enable adaptability when your customers, through the channel, have so many technologies in place and how does Fortinet help that adaptation? >> I would say they're placing bets like we are on top partners that are going to lead with that technology. They've got to go be the experts in that field and really start driving that. Events like this help get everybody on the same page, understand the new offerings. I mentioned Jenna, she was locked in a room all day yesterday all excited about all these things. She's been running around all day but look we've just got to help the channel understand what the new technologies are, what are the new offerings, and hey, how do we go solve that customer problem together. >> So are there any particular new approaches or tactics or techniques that you're using to get the channels to understand better? >> I don't think that there's anything necessarily new. We're all driving towards the same common goal. Having a security conversation today is easier than ever before so you know, I think we're we're going to continue doing what we've been doing. It's been very successful for us but that's, you know. >> What are some of the things, kind of wrapping up here, that you're looking forward to throughout the rest of 2018? We're kind of still in the first quarter calendar, some big announcements from your partner here today. What are some of the things that excite you at Ingram about the year of 2018? >> Look, it's a market that's that's really ripe right now and I think that when you talk about their new technologies, when you talk about the machine learning, there's a lot of these things happening out there. It's just look, we've got a huge market. The potential is unlimited and I think one area where we're really going to drill down this year is down market, down SMB in mid market because they need enterprise grade technology and Fortinet delivers that and has a history of delivering that. So I think we're going to double click down there together this year and John and his team have been great around putting some programs together for us to go and tackle that together. >> Excellent, well we thank you so much Eric for stopping by theCUBE again. >> Yes and I'll bring pizza next time. >> Please do. >> All right. >> Yes and maybe some beverages so we don't have dry throats. >> Of course, yes. >> So we wish you and Ingram the best of luck in this next year and we look forward to talking to you next year, if not sooner. >> Sounds good. Great, thank you. >> We want to thank you for watching theCUBE's continuing coverage of Fortinet Accelerate 2018. For Peter Burris, I'm Lisa Martin, after the short break we'll be right back. (upbeat music)

Published Date : Feb 28 2018

SUMMARY :

Brought to you by Fortinet. a Cuba alumni back to theCUBE, Excited to be here. We talked to you last year at this event, that you don't hear about that you guys have with Fortinet. and you know, we both invest in each other's success as we look at, you mentioned breaches. to and through partners but you know, around the Fortinet solution to make it stronger. and that as you have likely heard So as you imagine then the steps associated and be successful in the market. like I mentioned that the customer numbers and they're never going to stop How is security leading that charge to move and we will lead with Fortinet services To have somebody you can go to to say, Tell us a little bit about that and how are you and I think back to the human factor. and then pass on to your channels I think we have 12 people from our company here Yeah, it's amazing, it's pretty good, okay. and The Thrill is out talking to partners every single day, that kind of come to mind where security is concerned and choose the right partner to help you implement it. are you looking to be able to do and I mentioned this, like how do you want to consume it? and how does Fortinet help that adaptation? and hey, how do we go solve that customer problem together. It's been very successful for us but that's, you know. What are some of the things that excite you at Ingram and I think that when you talk about their new technologies, Excellent, well we thank you so much Eric to talking to you next year, if not sooner. We want to thank you for watching theCUBE's

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Claudia Perlich, Dstillery - Women in Data Science 2017 - #WiDS2017 - #theCUBE


 

>> Narrator: Live from Stanford University, it's theCUBE covering the Women in Data Science Conference 2017. >> Hi welcome back to theCUBE, I'm Lisa Martin and we are live at Stanford University at the second annual Women in Data Science one day tech conference. We are joined by one of the speakers for the event today, Claudia Perlich, the Chief Scientist at Dstillery, Claudia, welcome to theCUBE. >> Claudia: Thank you so much for having me. It's exciting. >> It is exciting! It's great to have you here. You are quite the prolific author, you've won data mining competitions and awards, you speak at conferences all around the world. Talk to us what you're currently doing as the Chief Scientist for Dstillery. Who's Dstillery? What's the Chief Scientist's role and how are you really leveraging data and science to be a change agent for your clients. I joined Dstillery when it was still called Media6Degrees as a very small startup in the New York ad tech space. It was very exciting. I came out of the IBM Watson Research Lab and really found this a new challenging application area for my skills. What does a Chief Scientist do? It's a good question, I think it actually took the CEO about two years to finally give me a job description, (laughter) and the conclusion at that point was something like, okay there is technical contribution, so I sit down and actually code things and I build prototypes and I play around with data. I also am referred to as Intellectual Leadership, so I work a lot with the teams just kind of scoping problems, brainstorming was may work or dozen, and finally, that's what I'm here for today, is what they consider an Ambassador for the company, so being the face to talk about the more scientific aspects of what's happening now in ad tech, which brings me to what we actually do, right. One of the things that happened over the recent past in advertising is it became an incredible playground for data signs because the available data is incomparable to many other fields that I have seen. And so Dstillery was a pioneer in that space starting to look at initially social data things that people shared, but over the years it has really grown into getting a sense of the digital footprint of what people do. And our primary business model was to bring this to marketers to help them on a much more individualized basis identify who their customers current as well as futures are. Really get a very different understanding than these broad middle-aged soccer mom kind of categories to honor the individual tastes and preferences and actions that really truly reflect the variety of what people do. I'm many things as you mentioned, I publish mom, what's a mom, and I have a horse, so there are many different parts to me. I don't think any single one description fully captures that and we felt that advertising is a great space to explore how you can translate that and help both sides, the people that are being interacted with, as well as the brands that want to make sure that they reach the right individuals. >> Lisa: Very interesting. Well, as buyers journey as changed to mostly online, >> Exactly. >> You're right, it's an incredibly rich opportunity for companies to harness more of that behavioral information and probably see things that they wouldn't have predicted. We were talking to Walmart Labs earlier and one of the interesting insights that they shared was that, especially in Silicon Valley where people spend too much time in the car commuting-- (laughter) You have a long commute as well by train. >> Yes. >> And you'd think that people would want, I want my groceries to show up on my doorstep, I don't want to have to go into the store, and they actually found the opposite that people in such a cosmopolitan area as Silicon Valley actually want to go into the store and pick up-- >> Claudia: Yep. >> Their groceries, so it's very interesting how the data actually can sometimes really change. It's really the scientific method on a very different scale >> Claudia: Much smaller. >> But really using the behavior insights to change the shopping experience, but also to change the experience of companies that are looking to sell their products. >> I think that the last part of the puzzle is, the question is no longer what is the right video for the Super Bowl, I mean we have the Super Bowl coming up, right? >> Lisa: Right. Right. >> They did a study like when do people pay attention to the Super Bowl. You can actually tell, cuz you know what people don't do when they pay attention to the Super Bowl? >> Lisa: Mm,hmm. >> They're not playing around with their phones. They're actually not playing-- >> Lisa: Of course. >> Candy Crush and all these things, so what we see in the ad tech environment, we actually see that the demand for the digital ads go down when people really focus on what's going on on the big screen. But that was a diversion ... >> Lisa: It's very interesting (laughter) though cuz it's something that's very tangible and very ... It's a real world applications. Question for you about data science and your background. You mentioned that you worked with IBM Watson. Forbes has just said that Data Scientist is the best job to apply for in 2017. What is your vision? Talk to us about your team, how you've grown that up, how you're using big data and science to really optimize the products that you deliver to your customers. >> Data Science is really many, many different flavors and in some sense I became a Data Scientist long before the term really existed. Back then I was just a particular weird kind of geek. (laughter) You know all of a sudden it's-- >> Now it has a name. (laughter) >> Right and the reputation to be fun and so you see really many different application areas depending very different skillsets. What is originally the focus of our company has always been around, can we predict what people are going to do? That was always the primary focus and now you see that it's very nicely reflected at the event too. All of sudden communicating this becomes much bigger a part of the puzzle where people say, "Okay, I realize that you're really "good at predicting, but can you tell me why, "what is it these nuggets of inside-- >> Interpretation, right. >> "That you mentioned. Can you visualize what's going on?" And so we grew a team initially from a small group of really focused machine learning and predictive skills over to the broader can you communicate it. Can you explain to the customer archieve brands what happened here. Can you visualize data. That's kind of the broader shift and I think the most challenging part that I can tell in the broader picture of where there is a bit of a short coming in skillset, we have a lot of people who are really good today at analyzing data and coding, so that part has caught up. There are so many Data Science programs. What I still am looking for is how do you bring management and corporate culture to the place where they can truly take advantage of it. >> Lisa: Right. >> This kind of disconnect that we still have-- >> Lisa: Absolutely. >> How do we educate the management level to be comfortable evaluating what their data science group actually did. Whether they working on the right problems that really ultimately will have impact. I think that layer of education needs to receive a lot more emphasis compared to what we already see in terms of this increased skillset on just the sheer technical side of it. >> You mentioned that you teach-- >> Claudia: Mm,hmm. >> Before we went live here, that you teach at NYU, but you're also teaching Data Science to the business folks. I would love for you to expand a little bit more upon that and how are you helping to educate these people to understand the impact. Cuz that's really, really a change agent within the company. That's a cultural change, which is really challenging-- >> Claudia: Very much so. >> Lisa: What's their perception? What's their interest in understanding how this can really drive value? >> What you see, I've been teaching this course for almost six years now, and originally it was really kind of the hardcore coders who also happened to get a PhD on the side, who came to the course. Now you increasingly have a very broad collection of business minded people. I typically teach in the part-time, meaning they all have day jobs and they've realized in their day jobs, I need this. I need that. That skill. That knowledge. We're trying to get on the ground where without having to teach them python and ARM whatever the new toys are there. How can you identify opportunities? How do you know which of the many different flavors of Data Science, from prediction towards visualization to just analyzing historical data to maybe even causality. Which of these tools is appropriate for the task at hand and then being able to evaluate whether the level of support that a machine can only bring, is it even sufficient? Because often just because you can analyze data doesn't mean that the reliability of the model is truly sufficient to support then a downstream business project. Being able to really understand those trade offs without necessarily being able to sit down and code it yourself. That knowledge has become a lot more valuable and I really enjoy the brainstorming when we're just trying to scope a project when they come with problems from their day job and say, "Hey, we're trying to do that." And saying, "Are you really trying to do that?" "What are you actually able to execute? "What kind of decisions can you make?" This is almost like the brainstorming in my own company now brought out to much broader people working in hospitals, people working in banking, so I get exposed to all of these kinds of problems said and that makes it really exciting for me. >> Lisa: Interesting. When Dstillery is talking to customer or prospective customers, is this now something that you're finding is a board level conversation within businesses? >> Claudia: No, I never get bored of that, so there is a part of the business that is pretty well understood and executed. You come to us, you give us money, and we will execute a digital campaign, either on mobile phones, on video, and you tell me what it is that you want me to optimize for. Do you want people to click on your ad? Please don't say yes, that's the worst possible things you may ask me to do-- (laughter) But let's talk about what you're going to measure, whether you want people to show up in your store, whether you really care about signing up for a test drive, and then the system automatically will build all the models that then do all the real-time bidding. Advertising, I'm not sure how many people are aware, as your New York Times page loads, every single ad slot on that side is sold in a real-time auction. About 50 billion times a day, we receive a request whether we want to bid on the opportunity to show somebody an ad. >> Lisa: Wow. >> So that piece, I can't make 50 billion decisions a day. >> Lisa: Right. >> It is entirely automated. There's this fully automated machine learning that just serves that purpose. What makes it interesting for me now that ... Now this is kind of standard fare if you want to move over and is more interesting parts. Well, can you for instance predict which of the 15 different creatives I have for Jobani, should I show you? >> Lisa: Mm,hmm. >> The one with the woman running, or the one with the kid opening, so there is no nuances to it and exploring these new challenges or going into totally new areas talking about, for instance churn prediction, I know an awful lot about people, I can predict very many things and a lot of them go far beyond just how you interact with ads, it's almost the most boring part. We can see people researching diabetes. We can provide snapshots to farmer telling them here's really where we see a rise of activity on a certain topic and maybe this is something of interest to understand which population is driving those changes. These kinds of conversations really making it exciting for me to bring the knowledge of what I see back to many different constituents and see what kind of problems we can possibly support with that. >> Lisa: It's interesting too. It sounds like more, not just providing ad technology to customers-- >> Claudia: Yeah. >> You're really helping them understand where they should be looking to drive value for their businesses. >> Claudia: That's really been the focus increasingly and I enjoy that a lot. >> Lisa: I can imagine that, that's quite interesting. Want to ask you a little bit before we wrap up here about your talk today. I was looking at your, the title of your abstract is, "Beware what you ask for: The secret life of predictive models". (laughter) Talk to us about some of the lessons you learn when things have gone a little bit, huh, I didn't expect that. >> I'm a huge fan of predictive modeling. I love the capabilities and what this technology can do. This being said, it's a collection of aha moments where you're looking at this and this, this doesn't really smell right. To give you an example from ad tech, and I alluded to this, when people say, "Okay we want a high click through rate." Yes, that means I have to predict who will click on an ad. And then you realize that no matter what the campaign, no matter what the product, the model always chooses to show the ad on the flashlight app. Yeah, because that's when people fumble in the dark. The model's really, really good at predicting when people are likely to click on an ad, except that's really not what you intended-- >> Right. >> When you asked me to do that. >> Right. >> So it's almost the best and powerful that they move off into a sidetracked direction you didn't even know existed. Something similar happened with one of these competitions that I won. For Siemens Medical where you had to identify an FMI images of breast, which of these regions are most likely benign or which one have cancer. In both models we did really, really well, all was good. Until we realized that the patient ID was by far the most predictive feature. Now this really shouldn't happen. Your social security number shouldn't be able to predict-- >> Lisa: Right. >> Anything really. It wasn't the social security number, but when we started looking a little bit deeper, we realized what had happened is the data set was a sample from different sources, and one was a treatment center, and one was a screening center and they had certain ranges of patient IDs, so the model had learned where the machine stood, not what the image actually contained about the probability of having cancer. Whoever assembled the data set possibly didn't think about the downstream effect this can have on modeling-- >> Right. >> Which brings us back to the data science skill as really comprehensive starting all the way from the beginning of where the data is collected, all the way down to be extremely skeptical about your own work and really make sure that it truly reflects what you want it to do. You asked earlier like what makes really good Data Scientists. The intuition to feel when something is wrong and to be able to pinpoint and trace it back with the curiosity of really needing to understand everything about the whole process. >> Lisa: And also being not only being able to communicate it, but probably being willing to fail. >> Claudia: That is the number one really requirement. If you want to have a data-driven culture, you have to embrace failure, because otherwise you will fail. >> Lisa: How do you find the reception (laughter) to that fact by your business students. Is that something that they're used to hearing or does it sound like a foreign language to them? >> I think the majority of them are in junior enough positions that they-- >> Lisa: Okay. >> Truly embrace that and if at all, they have come across the fact that they weren't allowed to fail as often as they had wanted to. I think once you go into the higher levels of conversation and we see that a lot in the ad tech industry where you have incentive problems. We see a lot of fraud being targeted. At the end of the day, the ad agency doesn't want to confess to the client that yeah they just wasted five million dollars-- >> Lisa: Right. >> Of ad spend on bots, and even the CMO might not be feeling very comfortable confessing that to the CO-- >> Right. >> Claudia: Being willing to truly face up the truth that sometimes data forces you into your face, that can be quite difficult for a company or even an industry. >> Lisa: Yes, it can. It's quite revolutionary. As is this event, so Claudia Perlich we thank you so much for joining us-- >> My pleasure. >> Lisa: On theCUBE today and we know that you're going to be mentoring a lot of people that are here. We thank you for watching theCUBE. We are live at Stanford University from the Women in Data Science Conference. I am Lisa Martin and we'll be right back (upbeat music)

Published Date : Feb 3 2017

SUMMARY :

covering the Women in Data We are joined by one of the Claudia: Thank you so being the face to talk about changed to mostly online, and one of the interesting It's really the scientific that are looking to sell their products. Lisa: Right. to the Super Bowl. around with their phones. demand for the digital ads is the best job to apply for in 2017. before the term really existed. Now it has a name. Right and the reputation to be fun and corporate culture to the the management level to and how are you helping and I really enjoy the brainstorming to customer or prospective customers, on the opportunity to show somebody an ad. So that piece, I can't make Well, can you for instance predict of interest to understand which population ad technology to customers-- be looking to drive value and I enjoy that a lot. of the lessons you learn the model always chooses to show the ad So it's almost the best and powerful happened is the data set was and to be able to able to communicate it, Claudia: That is the Lisa: How do you find the reception I think once you go into the to truly face up the truth we thank you so much for joining us-- from the Women in Data Science Conference.

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Emer Coleman, Disruption - Hadoop Summit 2016 Dublin - #HS16Dublin - #theCUBE


 

>> Narrator: Live from Dublin, Ireland. It's theCUBE, covering Hadoop Summit Europe 2016. Brought to you by Hortonworks. Now your host, John Furrier and Dave Vellante. >> Okay, welcome back here, we are here live in Dublin, Ireland, it's theCUBE SiliconANGLEs flagship program where we go out to the events and extract the signal from the noise, I'm John Furrier, my cohost Dave Vellante, our next guest is Emer Coleman who's with Disruption Limited, Open Data Governance Board in Ireland and Transport API, a growing startup built self-sustainable, growing business, open data, love that keynote here at Hadoop Summit, very compelling discussion around digital goods, digital future. Emer, welcome to theCUBE. >> It's great to be here. >> So what was your keynote? Let's just quickly talk about what you talked about, and then we can get in some awesome conversation. >> Sure. So the topic yesterday was we need to talk about techno ethics. So basically, over the last couple of months, I've been doing quite a lot of research on ethics and technology, and many people have different interpretations of that, but yesterday I said it's basically about three things. It's about people, it's about privacy, and it's about profits. So it's asking questions about how do we look at holistic technology development that moves away from a pure technocratic play and looks at the deep societal impacts that technology has. >> One of the things that we're super excited about and passionate about is this new era of openness going to a whole another level. Obviously, open source tier one software development environment, cloud computing allows for instant access to resources, almost limitless at this point, as you can project it forward with Moore's Law and whatnot. But the notion that digital assets are not just content, it's data, it's people, it's the things you mentioned about, create a whole new operating environment or user experience, user expectations with mobile phones and Internet of Things and Transport API which you have, if it moves, you capture it, and you're providing value there. So a whole new economy is developing around digital capital. Share your thoughts around this, because this is an area that you're passionate about, you've just done work here, what's your thoughts on this new digital economy, digital capital, digital asset opportunity? >> I think there's huge excitement about the digital economy, isn't there? And I think one of the things I'm concerned about is that that excitement will lead us to the same place that we are now, where we're not really thinking through what are the equitable distribution in that economy, because it seems to me that the spoils are going to a very tiny elite at the tops. So if you look at Instagram, 13 employees when it was purchased by Facebook for a billion dollars, but that's all our stuff, so I'm not getting any shares in the billion, those 13 people are. That's fantastic that you can build a business, build it to that stage and sell, but you have to think about two things, really: what are we looking at in terms of sustainable businesses into the future that create ethical products, and also the demands from citizens to get some value for their data back, because we're becoming shadow employees, we're shadow employees of Google, so when we email, we're not just corresponding, we're creating value for that company. >> And Facebook is a great example. >> And Facebook, and the thing is, when we were at the beginning of that digital journey, it was quite naive. So we were very seduced by free, and we thought, "This is great," and so we're happy with the service. And then the next stage of that, we realize what if we're not paying for the service, we're the product? >> John: Yeah. >> But we were too embedded in the platform to extricate ourselves. But now, I think, when we look at the future of work and great uncertainty that people are facing, when their labor's not going to be required to the same degree, are we going to slavishly keep producing capital and value for companies like Google, and ask for nothing more than the service in return? I don't think so. >> And certainly, the future will be impacted, and one of the things we see now in our business of online media and online open data, is that the data's very valuable. We see that, I'll say data is the new capital, new oil, whatever phrases of the day is used, and the brand marketers are the first ones to react to it, 'cause they're very data driven. Who are you, how do I sell stuff to you? And so what we're seeing is, brand marketers are saying, "Hey, I'm going to money to try to reach out to people, "and I'm going to activate that base and connect with, "engage with them on Facebook or other platform. "I'm going to add value to your Facebook or Google platform, "but yet I'm parasitic to your platform for the data. "Why just don't I get it directly?" So again, you're starting to see that thinking where I don't want to be a parasite or parasitic to a network that the value's coming from. The users have not yet gotten there, and you're teasing that out. What's your thoughts there, progression, where we're at, have people realized this? Have you seen any movement in the industry around this topic? >> No, I think there's a silence around... Technology companies want to get all the data they can. They're not going to really declare as much as they should, because it bends their service model a bit. Also, the data is emergent. Zuckerberg didn't start Facebook as something that was going to be a utility for a billion people, he started it as a social network for a university. And what grew out of that, we learned as we went along. So I'm thinking, now that we have that experience, we know that happens, so let's start the thinking now. And also, this notion of just taking data because you can, almost speculatively getting data at the point of source, without even knowing what you want it for but thinking, "I'm going to monetize this in the end." Jaron Lanier in his book Who Owns The Future talks about micro licensing back content. And I think that's what we need to do. We start, at the very beginning, we need to start baking in two things: privacy by design and different business models where it's not a winner takes all. It's a dialog between the user and the service, and that's iterated together. >> This idea that it's not a zero sum game is very important, and I want to go back to your Instagram and Facebook example. At its peak, I think Eastman Kodak had hundreds of thousands of employees, maybe four or five hundred, 450,000 employees, huge. Facebook has many many more photos, but maybe a few thousand employees? Wow, so all the jobs are gone, but at the same time, we don't want to be protecting the past from the future, so how do you square that circle? >> Correct, but I think what we know is that the rise of robotics and software is going to eat jobs, and basically, there's going to be a hollowing out of the middle class. You know, for sure, whether it's medicine, journalism, retail, exactly. >> Dave: It's not future, it's now. (laughs) >> Exactly. So we maybe come into a point where large swaths of people don't have work. Now, what do you do in a world where your labor is no longer required? Think about the public policy implications of that. Do we say you either fit in this economy or you die? Are we going to look at ideas which they are looking at in Europe, which is like a universal wage? And all of these things are a challenge to government, because they're going to have a citizenry who are not included in this brave new world. So some public policy thinking has to go into what happens when our kids can't get jobs. When the jobs that used to be done by people like us are done by machines. I'm not against the movement of technology, what I'm saying is there are deep societal implications that need some thinking, because if we get to a point where we suddenly realize, if all of these people who are unemployed and can't get work, this isn't a future we envisioned where robots would take all the crap jobs and we would go off to do wonderful things, like how are we going to bring the bacon home? >> It seems like in a digital world that the gap is creativity to combine technologies and knowledge. I find that it's scary when you talk about maybe micromanaging wages and things like that, education is the answer, but that's... How do you just transfer that knowledge? That's sort of the discussion that we're having in the United States anyway. >> I think some of the issue is that the technology is so, we're kind of seduced by simplicity. So we don't see the complexity underneath, and that's the ultimate aim of a technology, is to make something so simple, that complexity is masked. That's what the iPhone did wonderfully. But that's actually how society is looking now. So we're seduced by this simplicity, we're not seeing the complexity underneath, and that complexity would be about what do we do in a world where our labor is no longer required? >> And one of the things that's interesting about the hollowing of the middle class is the assumption is there's no replacements, so one of the things that could be counter argued is that, okay, as the digital natives, my daughter, she's a freshman in high school, my youngest son's eighth grade, they're natives now, so they're going to commit. So what is the replacement capital and value for companies that can be sustained in the new economy versus the decay and the darwinism of the old? So the digital darwinism aspect's interesting, that's one dilemma. The other one is business models, and I want to get your thoughts on this 'cause this is something we were teasing out with this whole value extraction and company platform issue. A company like Twitter. Highly valuable company, it's a global network of people tweeting and sharing, but yet is under constant pressure from Wall Street and investors that they basically suck. And they don't, they're good, people love Twitter, so they're being forced to behave differently against their mission because their profit motive doesn't really match maybe something like Facebook, so therefore they're instantly devalued, yet the future of someone connecting on Twitter is significantly high. That being said, I want to get your thoughts on that and your advice to Twitter management, given the fact it is a global network. What should they do? >> It's the same old capitalism, just it's digital, it's a digital company, it's a digital asset. It's the same approach, right? Twitter has been a wonderful thing. I've been a Twitter user for years. How amazing, it's played a role in the Arab Spring, all sorts of things. So they're really good, but I think you need as a company, so for example, in our company, in Transport API, we're not really looking to build to this massive IPO, we're trying to build a sustainable company in a traditional way using digital. So I think if you let yourself be seduced by the idea of phenomenal IPO, you kind of take your eye off the ball. >> Or in case this, in case you got IPOed, now you're under pressure to produce-- >> Emer: Absolutely, yeah. >> Which changes your behavior. But in Twitter's management defense, they see the value of their product. Now, they got there by accident and everyone loves it, but now they're not taking the bait to try to craft a short term solution to essentially what is already a valuable product, but not on the books. >> Yes, and also I think where the danger is, we know that their generation shifts across channel. So teenagers probably look at Facebook, I think one of them said, like an awkward family dinner they can't quite leave. But for next gen, they're just not going to go there, 'cause that's where your grandmother is. So the same is true of Twitter and Snapchat, these platforms come and go. It's an interesting phenomenon then to see Wall Street putting that much money into something which is essentially quite ephemeral. I'm not saying that Twitter won't be around for years, it may be, but that's the thing about digital, isn't it? Something else comes in and it's well, that becomes the platform of choice. >> Well, it's interesting, right? Everybody, us included, we criticize the... Michael Dell calls it the 90 day shock clock. But it's actually worked out pretty well, I mean, economically, for the United States companies. Maybe it doesn't in the future. What are your thoughts on that, particularly from a European perspective? Where you're reporting maybe twice a year, there's not as much pressure, but yet from a technology industry standpoint, companies outside the Silicon Valley in particular seem to be less competitive, why? >> For example, in our company, in Transport API, we've got some pretty heavyweight clients, we have a wonderful angel investor who has given us two rounds of investment. And it isn't that kind of avaricious absolutely built this super price. And that's allowed us to build from starting off with 2, now to a team of 10, and we're just about coming into break even, so it's doable. But I think it's a philosophy. We didn't want necessarily to build something huge, although we want to go global, but it was let's do this in a sustainable way with reasonable wages, and we've all put our own soul and money into it, but it's a different cultural proposition, I think. >> Well, the valuations always drive the markets. It's interesting too, to your point about things come and go channels, kind of reminds me, Dave and I used to joke about social networks like nightclubs, they're hot and then it's just too crowded and nobody goes there, as Yogi Bear would say. And then they shift and they go out of business, some don't open with fanfare, no one goes 'cause it's got different context. You have a contextual challenge in the world now. Technology can change things, so I want to ask you about identity 'cause there was a great article posted by the founder of the company called Secret which is one of these anonymous apps like Yik Yak and whatnot, and he shut it down. And he wrote a post, kind of a postmortem, saying, "These things come and go, they don't work, "they're not sustainable because there's no identity." So the role of identity in a social global virtual world, virtual being not just virtual reality, is interesting. You live in a world, and your company, Transport API, provides data which enables stuff and the role of identity. So anonymous versus identity, thoughts there, and that impact to the future of work? If you know who you're dealing with, and if they're present, these are concepts that are now important, presence, identity, attention. >> And that's the interesting thing, isn't it? Who controls that identity? Mark Zuckerberg said, "You only have one identity," which is what he said when he set up Facebook. You think, really? No, that's what a young person thinks. When we're older, we know. >> He also said that young people are smarter than older people. >> Yeah, right, okay. (John laughs) He could be right there, he could be right there, but we all have different identities in different parts of our lives. Who we are here, the Hadoop summit is different from what we're at home to when we're with friends. So identity is a multifaceted thing. But also, who gets to determine your identity? So I have 16 years of my search life and Google. Now, who am I in that server, compared to who I am? I am the sum total of my searches. But I'm not just the sum total of my searches, am I? Or even that contextualized, so I'll give you an example. A number of years ago I was searching for a large, very large waterproof plastic bag. And I typed it in, and I thought, "Oh my god, that sounds like I'm going to murder my husband "and try to bury him." (John and Dave laugh) It was actually-- >> John: Into the compost. >> Right, right. And I thought, "Oh my god, what does this look like "on the other side?" Now, it was actually for my summer garden furniture. But the point is, if you looked at that in an analytic way, who would I be? And so I think identity is very, you know-- >> John: Mistaken. >> Yeah, and also this idea of what Frank Pasquale calls the black box society. These secret algorithms that are controlling flows of money and information. How do they decide what my identity is? What are the moral decisions that they make around that? What does it say if I search for one thing over another? If I search constantly for expensive shoes, does that make me shallow? What do these things say? If I search for certain things around health. >> And there's a value judgment now associated with that that you're talking about, that you do not control. >> Absolutely, and which is probably linked to other things which will determine things like whether I get credit or not, but these can almost be arbitrary decisions, 'cause I have no oversight of the logic that's creating that decision making algorithm. So I think it's not just about identity, it's about who's deciding what that identity is. >> And it's also the reality that you're in, context, situations. Dark side, bright side of technology in this future where this new digital asset economy, digital capital. There's going to be good and bad, education can be consumed non-linear, new forms of consumptions, metadata, as you're pointing out, with the algorithms. Where do you see some bright spots and where do you see the danger areas? >> I think the great thing is, when you were saying software is the future. It's our present, but it's going to be even more so in our future. Some of the brightest brains in the world are involved in the creation of new technology. I just think they need to be focusing a bit more of that intellectual rigor towards the impact they're having on society and how they could do it better. 'Cause I think it's too much of a technocratic solution. Technologists say, "We can do this." The questions is, should they? So I think what we need to do is to loop them back into the more social and philosophical side of the discussion. And of course it's a wonderful thing, hopefully technology is going to do amazing things around health. We can't even predict how amazing it's going to be. But all I'm saying is that, if we don't ask the hard questions now about the downsides, we're going to be in a difficult societal position. But I'm hoping that we will, and I'm hoping that raising issues like techno ethics will get more of that discussion going. >> Well, transparency and open data make a big difference. >> Emer: Absolutely. >> Well, and public policy, as you said earlier, can play a huge role here. I wonder if you could give us your perspective on... Public policy, we're in the US most of the time, but it's interesting when we talk to customers here. To hear about the emphasis, obviously, on privacy, data location and so forth, so in the digital world, do you see Europe's emphasis and, I think, leading on those types of topics as an advantage in a digital world, or does it create friction from an economic standpoint? >> Yeah, but it's not all about economics. Friction is a good thing. There are some times when friction is a good thing. Most technologists think all friction is bad. >> Sure, and I'm not implying that it's necessarily good or bad, I'm curious though, is it potentially an economic advantage to have thought through and have policy on some of those issues? >> Well, what we're seeing here-- >> Because I feel like the US is a ticking time bomb on a lot of these issues. >> I was talking to VCs, some VC friends of mine here in the UK, and what they said they're seeing more and more, VCs asking what we call SMEs, small to medium enterprises, about their data policies, and SMEs not being able to answer those questions, and VCs getting nervous. So I think over time it's going to be a competitive advantage that we've done that homework, that we're basically not just rushing to get more users, but that we're looking at it across the piece. Because, fundamentally, that's more sustainable in the longer term. People will not be dumb too forever. They will not, and so doing that thinking now, where we work with people as we create our technology products, I think it's more sustainable in the long term. When you look at economics, sustainability is really important. >> I want to ask you about the Transport API business, 'cause in the US, same thing, we've seen some great openness of data and amazing innovations that have come out of nowhere. In some cases, unheard of entrepreneurs and/or organizations that better society for the betterment of people, from delivering healthcare to poor areas and whatnot. What has been the coolest thing, or of things you've seen come out of your enablement of the transport data. Use cases, have you seen any things that surprised you? >> It's quite interesting, because when I worked for the mayor of London as his director of digital projects, my job was to set up the London data store, which was to open all of London's public sector data. So I was kind of there from the beginning as a lobbyist, and when I was asking agencies to open up their data, they'd go, "What's the ROI?" And I'd just say, "I don't know." Because government's one and oh, I'm saying that was a chicken and egg, you got to put it out there. And we had a funny incident where some of the IT staff in transport for London accidentally let out this link, which is to the tracker net feed, and that powers the tube notice boards that says, "Your next tube is in a minute," whatever. And so the developer community went, "Ooh, this is interesting." >> John: Candy! >> Yeah, and of course, we had no documentation with it because it kind of went out under the radar. And one developer called Mathew Somerville made this map which showed the tubes on a map in real time. And it was like surfacing the underground. And people just thought, "Oh my god, that is amazing." >> John: It's illuminating. >> Yeah. It didn't do anything, but it showed the possibility. The newspapers picked it up, it was absolutely brilliant example, and the guy made it in half a day. And that was the first time people saw their transport system kind of differently. So that was amazing, and then we've seen hundreds of different applications that are being built all the time. And what we're also seeing is integration of transport data with other things, so one of our clients in Transport API is called Toothpick, and they're an online dental booking agency. And so you can go online, you can book your dental appointment with your NHS dentist, and then they bake in transport information to tell you how to get there. So we have pubs using them, and screens so people can order their dinner, and then they say, "You've got 10 minutes till the next bus." So all sorts of cross-platform applications. >> That you never could've envisioned. >> Emer: Never. >> And it's just your point earlier about it's not a zero sum game, you're giving so many ways to create value. >> Emer: Right, right. >> Again, I come back to this notion of education and creativity in the United States education system, so unattainable for so many people, and that's a real concern, and you're seeing the middle class get hollowed out. I think the stat is, the average wage in the United States was 55,000 in 1999, it's 50,000 today. The political campaigns are obviously picking at that scab. What's the climate like in Europe from that standpoint? >> In terms of education? >> No, just in terms of, yes, the education, middle class getting hollowed out, the sentiment around that. >> I don't think people are up to speed with that yet, I really don't think that they're aware of the scale. I think when they think robots or automation, they don't really think software. They think robots like there were in the movies, that would come, as I say, and do those jobs nobody wanted. But not like software. So when I say to them, look, E-discovery software, when it's applied retrospectively, what it shows is that human lawyers are only 60% accurate compared to it. Now, that's a no-brainer, right? If software is 100% accurate, I'm going to use the software. And the ratio difference is 1 to 500. Where you needed 500 lawyers before you need 1. So I don't think people are across the scale of change. >> But it's interesting, you're flying to Heathrow, you fly in and out, you're dealing with a kiosk. You drive out, the billboards are all electronic. There aren't guys doing this anymore. So it's tangible. >> And I think, to your point about education, I'm not as familiar with the education system in the US, but I certainly think, in Europe and in the UK, the education system is not capable of dealing even with the latest digital natives. They're still structuring their classrooms in the same way. These kids, you know-- >> John: They have missed the line with the technology. >> Absolutely. >> So reading, writing and arithmetic, fine. And the cost of education is maybe acceptable. But they may be teaching the wrong thing. >> Asynchronous non-linear, is the thing. >> There's a wonderful example of an Indian academic called Sugata Mitra, who has a fabulous project called a Hole in the Wall. And he goes to non-English speaking little Indian villages, and he builds a computer, and he puts a roof over it so only the children can do it. They don't speak English. And he came back, and he leaves a little bit of stuff they have to get around before they can play a game. And he came back six months later, and he said to them, "What did you think?" And one of the children said, "We need a faster CPU and a better mouse." Now, his point is self-learning, once you have access to technology, is amazing, and I think we have to start-- >> Same thing with the non-linear consumption, asynchronous, all this, the API economy enabling new kinds of expectation and opportunities. >> And it was interesting because the example, some UK schools tried to follow his example. And six months later, they rang him up and they said, "It's not working," and he said, "What did you do?" And they said, "Well, we got every kid a laptop." He said, "That's not the point." The point was putting a scarce resource that the children had to collaborate over. So in order to get to the game, they had figure out certain things. >> I think you're right on some of these (mumbles) that no one's talking about. And Dave and I are very passionate on this, and we're actually investing in a whole new e-learning concept. But it's not about doing that laptop thing or putting courseware online. That's old workflow in a new model. Come on, old wine in a new bottle. So that's interesting. I want to get your thoughts, so a personal question to end this segment. What are you passionate about now, what are you working, outside of the venture, which is exciting. You have a lot of background going back to technology entrepreneurship, public policy, and you're in the front lines now, thought leading on this whole new wide open sea of opportunity, confusion, enabling it. What are you passionate about, what are you working on? Share with the folks that are watching. >> So one of the main things we're trying to do. I work as an associate with Ernst & Young in London. And we've been having discussions over the past couple of months around techno ethics, and I've basically said, "Look, let's see if we can get EY "to build to build an EY good governance index." Like, what does good governance look like in this space, a massively complex area, but what I would love is if people would collaborate with us on that. If we could help to draw up an ethical framework that would convene the technology industry around some ethical good governance issues. So that's what I'm going to be working on as hard as I can over the next while, to try and get as much collaboration from the community, because I think we'd be so much more powerful if the technology industry was to say, "Yeah, let's try and do this better "rather than waiting for regulation," which will come, but will be too clunky and not fit for purpose. >> And which new technology that's emerging do you get most excited about? >> Hmm. Drones. (laughter) >> How about anything with bitcoin, block chains? >> Absolutely, absolutely, block chain. Yeah, block chain, you have to say, yeah. I think, 'cause bitcoin, you know, it's worth 20 p today, it's worth 200,000 tomorrow. >> Dave: Yeah, but block chain. >> Right, right. I mean, that is incredible potentiality. >> New terms like federated, that's not a new term, but federation, universal, unification. These are the themes right now. >> Emer: Well, it's like the road's been coated, isn't it? And we don't know where it's going to go. What a time we live in, right? >> Emer Coleman, thank you so much for spending your time and joining us on theCUBE here, we really appreciate the conversation. Thanks for sharing that great insight here on theCUBE, thank you. It's theCUBE, we are live here in Dublin, Ireland. I'm John Furrier with Dave Vellante. We'll we right back with more SiliconANGLEs, theCUBE and extracting the signal from the noise after this short break. (bright music)

Published Date : Apr 14 2016

SUMMARY :

Brought to you by Hortonworks. and extract the signal from the noise, and then we can get in and looks at the deep societal impacts the things you mentioned about, the spoils are going to And Facebook, and the thing is, embedded in the platform and one of the things we see now get all the data they can. Wow, so all the jobs are is that the rise of robotics and software Dave: It's not future, I'm not against the education is the answer, but that's... and that's the ultimate And one of the things It's the same old but not on the books. that becomes the platform of choice. Maybe it doesn't in the future. And it isn't that kind of avaricious and that impact to the future of work? And that's the He also said that young people But I'm not just the sum But the point is, if you looked at that What are the moral decisions that you do not control. 'cause I have no oversight of the logic And it's also the reality Some of the brightest brains in the world Well, transparency and open so in the digital world, Yeah, but it's not all about economics. Because I feel like the in the UK, and what they said 'cause in the US, same thing, and that powers the tube notice boards Yeah, and of course, we and the guy made it in half a day. And it's just your point earlier about and creativity in the United the sentiment around that. And the ratio difference is 1 to 500. You drive out, the billboards And I think, to your the line with the technology. And the cost of education And one of the children said, of expectation and opportunities. that the children had to collaborate over. outside of the venture, So one of the main I think, 'cause bitcoin, you I mean, that is incredible potentiality. These are the themes right now. Emer: Well, it's like the the signal from the noise

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