>>When Oracle acquired my SQL via the Sun acquisition, nobody really thought the company would put much effort into the platform preferring to focus all the wood behind its leading Oracle database, Arrow pun intended. But two years ago, Oracle surprised many folks by announcing my SQL Heatwave a new database as a service with a massively parallel hybrid Columbia in Mary Mary architecture that brings together transactional and analytic data in a single platform. Welcome to our latest database, power panel on the cube. My name is Dave Ante, and today we're gonna discuss Oracle's MySQL Heat Wave with a who's who of cloud database industry analysts. Holgar Mueller is with Constellation Research. Mark Stammer is the Dragon Slayer and Wikibon contributor. And Ron Westfall is with Fu Chim Research. Gentlemen, welcome back to the Cube. Always a pleasure to have you on. Thanks for having us. Great to be here. >>So we've had a number of of deep dive interviews on the Cube with Nip and Aggarwal. You guys know him? He's a senior vice president of MySQL, Heatwave Development at Oracle. I think you just saw him at Oracle Cloud World and he's come on to describe this is gonna, I'll call it a shock and awe feature additions to to heatwave. You know, the company's clearly putting r and d into the platform and I think at at cloud world we saw like the fifth major release since 2020 when they first announced MySQL heat wave. So just listing a few, they, they got, they taken, brought in analytics machine learning, they got autopilot for machine learning, which is automation onto the basic o l TP functionality of the database. And it's been interesting to watch Oracle's converge database strategy. We've contrasted that amongst ourselves. Love to get your thoughts on Amazon's get the right tool for the right job approach. >>Are they gonna have to change that? You know, Amazon's got the specialized databases, it's just, you know, the both companies are doing well. It just shows there are a lot of ways to, to skin a cat cuz you see some traction in the market in, in both approaches. So today we're gonna focus on the latest heat wave announcements and we're gonna talk about multi-cloud with a native MySQL heat wave implementation, which is available on aws MySQL heat wave for Azure via the Oracle Microsoft interconnect. This kind of cool hybrid action that they got going. Sometimes we call it super cloud. And then we're gonna dive into my SQL Heatwave Lake house, which allows users to process and query data across MyQ databases as heatwave databases, as well as object stores. So, and then we've got, heatwave has been announced on AWS and, and, and Azure, they're available now and Lake House I believe is in beta and I think it's coming out the second half of next year. So again, all of our guests are fresh off of Oracle Cloud world in Las Vegas. So they got the latest scoop. Guys, I'm done talking. Let's get into it. Mark, maybe you could start us off, what's your opinion of my SQL Heatwaves competitive position? When you think about what AWS is doing, you know, Google is, you know, we heard Google Cloud next recently, we heard about all their data innovations. You got, obviously Azure's got a big portfolio, snowflakes doing well in the market. What's your take? >>Well, first let's look at it from the point of view that AWS is the market leader in cloud and cloud services. They own somewhere between 30 to 50% depending on who you read of the market. And then you have Azure as number two and after that it falls off. There's gcp, Google Cloud platform, which is further way down the list and then Oracle and IBM and Alibaba. So when you look at AWS and you and Azure saying, hey, these are the market leaders in the cloud, then you start looking at it and saying, if I am going to provide a service that competes with the service they have, if I can make it available in their cloud, it means that I can be more competitive. And if I'm compelling and compelling means at least twice the performance or functionality or both at half the price, I should be able to gain market share. >>And that's what Oracle's done. They've taken a superior product in my SQL heat wave, which is faster, lower cost does more for a lot less at the end of the day and they make it available to the users of those clouds. You avoid this little thing called egress fees, you avoid the issue of having to migrate from one cloud to another and suddenly you have a very compelling offer. So I look at what Oracle's doing with MyQ and it feels like, I'm gonna use a word term, a flanking maneuver to their competition. They're offering a better service on their platforms. >>All right, so thank you for that. Holger, we've seen this sort of cadence, I sort of referenced it up front a little bit and they sat on MySQL for a decade, then all of a sudden we see this rush of announcements. Why did it take so long? And and more importantly is Oracle, are they developing the right features that cloud database customers are looking for in your view? >>Yeah, great question, but first of all, in your interview you said it's the edit analytics, right? Analytics is kind of like a marketing buzzword. Reports can be analytics, right? The interesting thing, which they did, the first thing they, they, they crossed the chasm between OTP and all up, right? In the same database, right? So major engineering feed very much what customers want and it's all about creating Bellevue for customers, which, which I think is the part why they go into the multi-cloud and why they add these capabilities. And they certainly with the AI capabilities, it's kind of like getting it into an autonomous field, self-driving field now with the lake cost capabilities and meeting customers where they are, like Mark has talked about the e risk costs in the cloud. So that that's a significant advantage, creating value for customers and that's what at the end of the day matters. >>And I believe strongly that long term it's gonna be ones who create better value for customers who will get more of their money From that perspective, why then take them so long? I think it's a great question. I think largely he mentioned the gentleman Nial, it's largely to who leads a product. I used to build products too, so maybe I'm a little fooling myself here, but that made the difference in my view, right? So since he's been charged, he's been building things faster than the rest of the competition, than my SQL space, which in hindsight we thought was a hot and smoking innovation phase. It kind of like was a little self complacent when it comes to the traditional borders of where, where people think, where things are separated between OTP and ola or as an example of adjacent support, right? Structured documents, whereas unstructured documents or databases and all of that has been collapsed and brought together for building a more powerful database for customers. >>So I mean it's certainly, you know, when, when Oracle talks about the competitors, you know, the competitors are in the, I always say they're, if the Oracle talks about you and knows you're doing well, so they talk a lot about aws, talk a little bit about Snowflake, you know, sort of Google, they have partnerships with Azure, but, but in, so I'm presuming that the response in MySQL heatwave was really in, in response to what they were seeing from those big competitors. But then you had Maria DB coming out, you know, the day that that Oracle acquired Sun and, and launching and going after the MySQL base. So it's, I'm, I'm interested and we'll talk about this later and what you guys think AWS and Google and Azure and Snowflake and how they're gonna respond. But, but before I do that, Ron, I want to ask you, you, you, you can get, you know, pretty technical and you've probably seen the benchmarks. >>I know you have Oracle makes a big deal out of it, publishes its benchmarks, makes some transparent on on GI GitHub. Larry Ellison talked about this in his keynote at Cloud World. What are the benchmarks show in general? I mean, when you, when you're new to the market, you gotta have a story like Mark was saying, you gotta be two x you know, the performance at half the cost or you better be or you're not gonna get any market share. So, and, and you know, oftentimes companies don't publish market benchmarks when they're leading. They do it when they, they need to gain share. So what do you make of the benchmarks? Have their, any results that were surprising to you? Have, you know, they been challenged by the competitors. Is it just a bunch of kind of desperate bench marketing to make some noise in the market or you know, are they real? What's your view? >>Well, from my perspective, I think they have the validity. And to your point, I believe that when it comes to competitor responses, that has not really happened. Nobody has like pulled down the information that's on GitHub and said, Oh, here are our price performance results. And they counter oracles. In fact, I think part of the reason why that hasn't happened is that there's the risk if Oracle's coming out and saying, Hey, we can deliver 17 times better query performance using our capabilities versus say, Snowflake when it comes to, you know, the Lakehouse platform and Snowflake turns around and says it's actually only 15 times better during performance, that's not exactly an effective maneuver. And so I think this is really to oracle's credit and I think it's refreshing because these differentiators are significant. We're not talking, you know, like 1.2% differences. We're talking 17 fold differences, we're talking six fold differences depending on, you know, where the spotlight is being shined and so forth. >>And so I think this is actually something that is actually too good to believe initially at first blush. If I'm a cloud database decision maker, I really have to prioritize this. I really would know, pay a lot more attention to this. And that's why I posed the question to Oracle and others like, okay, if these differentiators are so significant, why isn't the needle moving a bit more? And it's for, you know, some of the usual reasons. One is really deep discounting coming from, you know, the other players that's really kind of, you know, marketing 1 0 1, this is something you need to do when there's a real competitive threat to keep, you know, a customer in your own customer base. Plus there is the usual fear and uncertainty about moving from one platform to another. But I think, you know, the traction, the momentum is, is shifting an Oracle's favor. I think we saw that in the Q1 efforts, for example, where Oracle cloud grew 44% and that it generated, you know, 4.8 billion and revenue if I recall correctly. And so, so all these are demonstrating that's Oracle is making, I think many of the right moves, publishing these figures for anybody to look at from their own perspective is something that is, I think, good for the market and I think it's just gonna continue to pay dividends for Oracle down the horizon as you know, competition intens plots. So if I were in, >>Dave, can I, Dave, can I interject something and, and what Ron just said there? Yeah, please go ahead. A couple things here, one discounting, which is a common practice when you have a real threat, as Ron pointed out, isn't going to help much in this situation simply because you can't discount to the point where you improve your performance and the performance is a huge differentiator. You may be able to get your price down, but the problem that most of them have is they don't have an integrated product service. They don't have an integrated O L T P O L A P M L N data lake. Even if you cut out two of them, they don't have any of them integrated. They have multiple services that are required separate integration and that can't be overcome with discounting. And the, they, you have to pay for each one of these. And oh, by the way, as you grow, the discounts go away. So that's a, it's a minor important detail. >>So, so that's a TCO question mark, right? And I know you look at this a lot, if I had that kind of price performance advantage, I would be pounding tco, especially if I need two separate databases to do the job. That one can do, that's gonna be, the TCO numbers are gonna be off the chart or maybe down the chart, which you want. Have you looked at this and how does it compare with, you know, the big cloud guys, for example, >>I've looked at it in depth, in fact, I'm working on another TCO on this arena, but you can find it on Wiki bod in which I compared TCO for MySEQ Heat wave versus Aurora plus Redshift plus ML plus Blue. I've compared it against gcps services, Azure services, Snowflake with other services. And there's just no comparison. The, the TCO differences are huge. More importantly, thefor, the, the TCO per performance is huge. We're talking in some cases multiple orders of magnitude, but at least an order of magnitude difference. So discounting isn't gonna help you much at the end of the day, it's only going to lower your cost a little, but it doesn't improve the automation, it doesn't improve the performance, it doesn't improve the time to insight, it doesn't improve all those things that you want out of a database or multiple databases because you >>Can't discount yourself to a higher value proposition. >>So what about, I wonder ho if you could chime in on the developer angle. You, you followed that, that market. How do these innovations from heatwave, I think you used the term developer velocity. I've heard you used that before. Yeah, I mean, look, Oracle owns Java, okay, so it, it's, you know, most popular, you know, programming language in the world, blah, blah blah. But it does it have the, the minds and hearts of, of developers and does, where does heatwave fit into that equation? >>I think heatwave is gaining quickly mindshare on the developer side, right? It's not the traditional no sequel database which grew up, there's a traditional mistrust of oracles to developers to what was happening to open source when gets acquired. Like in the case of Oracle versus Java and where my sql, right? And, but we know it's not a good competitive strategy to, to bank on Oracle screwing up because it hasn't worked not on Java known my sequel, right? And for developers, it's, once you get to know a technology product and you can do more, it becomes kind of like a Swiss army knife and you can build more use case, you can build more powerful applications. That's super, super important because you don't have to get certified in multiple databases. You, you are fast at getting things done, you achieve fire, develop velocity, and the managers are happy because they don't have to license more things, send you to more trainings, have more risk of something not being delivered, right? >>So it's really the, we see the suite where this best of breed play happening here, which in general was happening before already with Oracle's flagship database. Whereas those Amazon as an example, right? And now the interesting thing is every step away Oracle was always a one database company that can be only one and they're now generally talking about heat web and that two database company with different market spaces, but same value proposition of integrating more things very, very quickly to have a universal database that I call, they call the converge database for all the needs of an enterprise to run certain application use cases. And that's what's attractive to developers. >>It's, it's ironic isn't it? I mean I, you know, the rumor was the TK Thomas Curian left Oracle cuz he wanted to put Oracle database on other clouds and other places. And maybe that was the rift. Maybe there was, I'm sure there was other things, but, but Oracle clearly is now trying to expand its Tam Ron with, with heatwave into aws, into Azure. How do you think Oracle's gonna do, you were at a cloud world, what was the sentiment from customers and the independent analyst? Is this just Oracle trying to screw with the competition, create a little diversion? Or is this, you know, serious business for Oracle? What do you think? >>No, I think it has lakes. I think it's definitely, again, attriting to Oracle's overall ability to differentiate not only my SQL heat wave, but its overall portfolio. And I think the fact that they do have the alliance with the Azure in place, that this is definitely demonstrating their commitment to meeting the multi-cloud needs of its customers as well as what we pointed to in terms of the fact that they're now offering, you know, MySQL capabilities within AWS natively and that it can now perform AWS's own offering. And I think this is all demonstrating that Oracle is, you know, not letting up, they're not resting on its laurels. That's clearly we are living in a multi-cloud world, so why not just make it more easy for customers to be able to use cloud databases according to their own specific, specific needs. And I think, you know, to holder's point, I think that definitely lines with being able to bring on more application developers to leverage these capabilities. >>I think one important announcement that's related to all this was the JSON relational duality capabilities where now it's a lot easier for application developers to use a language that they're very familiar with a JS O and not have to worry about going into relational databases to store their J S O N application coding. So this is, I think an example of the innovation that's enhancing the overall Oracle portfolio and certainly all the work with machine learning is definitely paying dividends as well. And as a result, I see Oracle continue to make these inroads that we pointed to. But I agree with Mark, you know, the short term discounting is just a stall tag. This is not denying the fact that Oracle is being able to not only deliver price performance differentiators that are dramatic, but also meeting a wide range of needs for customers out there that aren't just limited device performance consideration. >>Being able to support multi-cloud according to customer needs. Being able to reach out to the application developer community and address a very specific challenge that has plagued them for many years now. So bring it all together. Yeah, I see this as just enabling Oracles who ring true with customers. That the customers that were there were basically all of them, even though not all of them are going to be saying the same things, they're all basically saying positive feedback. And likewise, I think the analyst community is seeing this. It's always refreshing to be able to talk to customers directly and at Oracle cloud there was a litany of them and so this is just a difference maker as well as being able to talk to strategic partners. The nvidia, I think partnerships also testament to Oracle's ongoing ability to, you know, make the ecosystem more user friendly for the customers out there. >>Yeah, it's interesting when you get these all in one tools, you know, the Swiss Army knife, you expect that it's not able to be best of breed. That's the kind of surprising thing that I'm hearing about, about heatwave. I want to, I want to talk about Lake House because when I think of Lake House, I think data bricks, and to my knowledge data bricks hasn't been in the sites of Oracle yet. Maybe they're next, but, but Oracle claims that MySQL, heatwave, Lakehouse is a breakthrough in terms of capacity and performance. Mark, what are your thoughts on that? Can you double click on, on Lakehouse Oracle's claims for things like query performance and data loading? What does it mean for the market? Is Oracle really leading in, in the lake house competitive landscape? What are your thoughts? >>Well, but name in the game is what are the problems you're solving for the customer? More importantly, are those problems urgent or important? If they're urgent, customers wanna solve 'em. Now if they're important, they might get around to them. So you look at what they're doing with Lake House or previous to that machine learning or previous to that automation or previous to that O L A with O ltp and they're merging all this capability together. If you look at Snowflake or data bricks, they're tacking one problem. You look at MyQ heat wave, they're tacking multiple problems. So when you say, yeah, their queries are much better against the lake house in combination with other analytics in combination with O ltp and the fact that there are no ETLs. So you're getting all this done in real time. So it's, it's doing the query cross, cross everything in real time. >>You're solving multiple user and developer problems, you're increasing their ability to get insight faster, you're having shorter response times. So yeah, they really are solving urgent problems for customers. And by putting it where the customer lives, this is the brilliance of actually being multicloud. And I know I'm backing up here a second, but by making it work in AWS and Azure where people already live, where they already have applications, what they're saying is, we're bringing it to you. You don't have to come to us to get these, these benefits, this value overall, I think it's a brilliant strategy. I give Nip and Argo wallet a huge, huge kudos for what he's doing there. So yes, what they're doing with the lake house is going to put notice on data bricks and Snowflake and everyone else for that matter. Well >>Those are guys that whole ago you, you and I have talked about this. Those are, those are the guys that are doing sort of the best of breed. You know, they're really focused and they, you know, tend to do well at least out of the gate. Now you got Oracle's converged philosophy, obviously with Oracle database. We've seen that now it's kicking in gear with, with heatwave, you know, this whole thing of sweets versus best of breed. I mean the long term, you know, customers tend to migrate towards suite, but the new shiny toy tends to get the growth. How do you think this is gonna play out in cloud database? >>Well, it's the forever never ending story, right? And in software right suite, whereas best of breed and so far in the long run suites have always won, right? So, and sometimes they struggle again because the inherent problem of sweets is you build something larger, it has more complexity and that means your cycles to get everything working together to integrate the test that roll it out, certify whatever it is, takes you longer, right? And that's not the case. It's a fascinating part of what the effort around my SQL heat wave is that the team is out executing the previous best of breed data, bringing us something together. Now if they can maintain that pace, that's something to to, to be seen. But it, the strategy, like what Mark was saying, bring the software to the data is of course interesting and unique and totally an Oracle issue in the past, right? >>Yeah. But it had to be in your database on oci. And but at, that's an interesting part. The interesting thing on the Lake health side is, right, there's three key benefits of a lakehouse. The first one is better reporting analytics, bring more rich information together, like make the, the, the case for silicon angle, right? We want to see engagements for this video, we want to know what's happening. That's a mixed transactional video media use case, right? Typical Lakehouse use case. The next one is to build more rich applications, transactional applications which have video and these elements in there, which are the engaging one. And the third one, and that's where I'm a little critical and concerned, is it's really the base platform for artificial intelligence, right? To run deep learning to run things automatically because they have all the data in one place can create in one way. >>And that's where Oracle, I know that Ron talked about Invidia for a moment, but that's where Oracle doesn't have the strongest best story. Nonetheless, the two other main use cases of the lake house are very strong, very well only concern is four 50 terabyte sounds long. It's an arbitrary limitation. Yeah, sounds as big. So for the start, and it's the first word, they can make that bigger. You don't want your lake house to be limited and the terabyte sizes or any even petabyte size because you want to have the certainty. I can put everything in there that I think it might be relevant without knowing what questions to ask and query those questions. >>Yeah. And you know, in the early days of no schema on right, it just became a mess. But now technology has evolved to allow us to actually get more value out of that data. Data lake. Data swamp is, you know, not much more, more, more, more logical. But, and I want to get in, in a moment, I want to come back to how you think the competitors are gonna respond. Are they gonna have to sort of do a more of a converged approach? AWS in particular? But before I do, Ron, I want to ask you a question about autopilot because I heard Larry Ellison's keynote and he was talking about how, you know, most security issues are human errors with autonomy and autonomous database and things like autopilot. We take care of that. It's like autonomous vehicles, they're gonna be safer. And I went, well maybe, maybe someday. So Oracle really tries to emphasize this, that every time you see an announcement from Oracle, they talk about new, you know, autonomous capabilities. It, how legit is it? Do people care? What about, you know, what's new for heatwave Lakehouse? How much of a differentiator, Ron, do you really think autopilot is in this cloud database space? >>Yeah, I think it will definitely enhance the overall proposition. I don't think people are gonna buy, you know, lake house exclusively cause of autopilot capabilities, but when they look at the overall picture, I think it will be an added capability bonus to Oracle's benefit. And yeah, I think it's kind of one of these age old questions, how much do you automate and what is the bounce to strike? And I think we all understand with the automatic car, autonomous car analogy that there are limitations to being able to use that. However, I think it's a tool that basically every organization out there needs to at least have or at least evaluate because it goes to the point of it helps with ease of use, it helps make automation more balanced in terms of, you know, being able to test, all right, let's automate this process and see if it works well, then we can go on and switch on on autopilot for other processes. >>And then, you know, that allows, for example, the specialists to spend more time on business use cases versus, you know, manual maintenance of, of the cloud database and so forth. So I think that actually is a, a legitimate value proposition. I think it's just gonna be a case by case basis. Some organizations are gonna be more aggressive with putting automation throughout their processes throughout their organization. Others are gonna be more cautious. But it's gonna be, again, something that will help the overall Oracle proposition. And something that I think will be used with caution by many organizations, but other organizations are gonna like, hey, great, this is something that is really answering a real problem. And that is just easing the use of these databases, but also being able to better handle the automation capabilities and benefits that come with it without having, you know, a major screwup happened and the process of transitioning to more automated capabilities. >>Now, I didn't attend cloud world, it's just too many red eyes, you know, recently, so I passed. But one of the things I like to do at those events is talk to customers, you know, in the spirit of the truth, you know, they, you know, you'd have the hallway, you know, track and to talk to customers and they say, Hey, you know, here's the good, the bad and the ugly. So did you guys, did you talk to any customers my SQL Heatwave customers at, at cloud world? And and what did you learn? I don't know, Mark, did you, did you have any luck and, and having some, some private conversations? >>Yeah, I had quite a few private conversations. The one thing before I get to that, I want disagree with one point Ron made, I do believe there are customers out there buying the heat wave service, the MySEQ heat wave server service because of autopilot. Because autopilot is really revolutionary in many ways in the sense for the MySEQ developer in that it, it auto provisions, it auto parallel loads, IT auto data places it auto shape predictions. It can tell you what machine learning models are going to tell you, gonna give you your best results. And, and candidly, I've yet to meet a DBA who didn't wanna give up pedantic tasks that are pain in the kahoo, which they'd rather not do and if it's long as it was done right for them. So yes, I do think people are buying it because of autopilot and that's based on some of the conversations I had with customers at Oracle Cloud World. >>In fact, it was like, yeah, that's great, yeah, we get fantastic performance, but this really makes my life easier and I've yet to meet a DBA who didn't want to make their life easier. And it does. So yeah, I've talked to a few of them. They were excited. I asked them if they ran into any bugs, were there any difficulties in moving to it? And the answer was no. In both cases, it's interesting to note, my sequel is the most popular database on the planet. Well, some will argue that it's neck and neck with SQL Server, but if you add in Mariah DB and ProCon db, which are forks of MySQL, then yeah, by far and away it's the most popular. And as a result of that, everybody for the most part has typically a my sequel database somewhere in their organization. So this is a brilliant situation for anybody going after MyQ, but especially for heat wave. And the customers I talk to love it. I didn't find anybody complaining about it. And >>What about the migration? We talked about TCO earlier. Did your t does your TCO analysis include the migration cost or do you kind of conveniently leave that out or what? >>Well, when you look at migration costs, there are different kinds of migration costs. By the way, the worst job in the data center is the data migration manager. Forget it, no other job is as bad as that one. You get no attaboys for doing it. Right? And then when you screw up, oh boy. So in real terms, anything that can limit data migration is a good thing. And when you look at Data Lake, that limits data migration. So if you're already a MySEQ user, this is a pure MySQL as far as you're concerned. It's just a, a simple transition from one to the other. You may wanna make sure nothing broke and every you, all your tables are correct and your schema's, okay, but it's all the same. So it's a simple migration. So it's pretty much a non-event, right? When you migrate data from an O LTP to an O L A P, that's an ETL and that's gonna take time. >>But you don't have to do that with my SQL heat wave. So that's gone when you start talking about machine learning, again, you may have an etl, you may not, depending on the circumstances, but again, with my SQL heat wave, you don't, and you don't have duplicate storage, you don't have to copy it from one storage container to another to be able to be used in a different database, which by the way, ultimately adds much more cost than just the other service. So yeah, I looked at the migration and again, the users I talked to said it was a non-event. It was literally moving from one physical machine to another. If they had a new version of MySEQ running on something else and just wanted to migrate it over or just hook it up or just connect it to the data, it worked just fine. >>Okay, so every day it sounds like you guys feel, and we've certainly heard this, my colleague David Foyer, the semi-retired David Foyer was always very high on heatwave. So I think you knows got some real legitimacy here coming from a standing start, but I wanna talk about the competition, how they're likely to respond. I mean, if your AWS and you got heatwave is now in your cloud, so there's some good aspects of that. The database guys might not like that, but the infrastructure guys probably love it. Hey, more ways to sell, you know, EC two and graviton, but you're gonna, the database guys in AWS are gonna respond. They're gonna say, Hey, we got Redshift, we got aqua. What's your thoughts on, on not only how that's gonna resonate with customers, but I'm interested in what you guys think will a, I never say never about aws, you know, and are they gonna try to build, in your view a converged Oola and o LTP database? You know, Snowflake is taking an ecosystem approach. They've added in transactional capabilities to the portfolio so they're not standing still. What do you guys see in the competitive landscape in that regard going forward? Maybe Holger, you could start us off and anybody else who wants to can chime in, >>Happy to, you mentioned Snowflake last, we'll start there. I think Snowflake is imitating that strategy, right? That building out original data warehouse and the clouds tasking project to really proposition to have other data available there because AI is relevant for everybody. Ultimately people keep data in the cloud for ultimately running ai. So you see the same suite kind of like level strategy, it's gonna be a little harder because of the original positioning. How much would people know that you're doing other stuff? And I just, as a former developer manager of developers, I just don't see the speed at the moment happening at Snowflake to become really competitive to Oracle. On the flip side, putting my Oracle hat on for a moment back to you, Mark and Iran, right? What could Oracle still add? Because the, the big big things, right? The traditional chasms in the database world, they have built everything, right? >>So I, I really scratched my hat and gave Nipon a hard time at Cloud world say like, what could you be building? Destiny was very conservative. Let's get the Lakehouse thing done, it's gonna spring next year, right? And the AWS is really hard because AWS value proposition is these small innovation teams, right? That they build two pizza teams, which can be fit by two pizzas, not large teams, right? And you need suites to large teams to build these suites with lots of functionalities to make sure they work together. They're consistent, they have the same UX on the administration side, they can consume the same way, they have the same API registry, can't even stop going where the synergy comes to play over suite. So, so it's gonna be really, really hard for them to change that. But AWS super pragmatic. They're always by themselves that they'll listen to customers if they learn from customers suite as a proposition. I would not be surprised if AWS trying to bring things closer together, being morely together. >>Yeah. Well how about, can we talk about multicloud if, if, again, Oracle is very on on Oracle as you said before, but let's look forward, you know, half a year or a year. What do you think about Oracle's moves in, in multicloud in terms of what kind of penetration they're gonna have in the marketplace? You saw a lot of presentations at at cloud world, you know, we've looked pretty closely at the, the Microsoft Azure deal. I think that's really interesting. I've, I've called it a little bit of early days of a super cloud. What impact do you think this is gonna have on, on the marketplace? But, but both. And think about it within Oracle's customer base, I have no doubt they'll do great there. But what about beyond its existing install base? What do you guys think? >>Ryan, do you wanna jump on that? Go ahead. Go ahead Ryan. No, no, no, >>That's an excellent point. I think it aligns with what we've been talking about in terms of Lakehouse. I think Lake House will enable Oracle to pull more customers, more bicycle customers onto the Oracle platforms. And I think we're seeing all the signs pointing toward Oracle being able to make more inroads into the overall market. And that includes garnishing customers from the leaders in, in other words, because they are, you know, coming in as a innovator, a an alternative to, you know, the AWS proposition, the Google cloud proposition that they have less to lose and there's a result they can really drive the multi-cloud messaging to resonate with not only their existing customers, but also to be able to, to that question, Dave's posing actually garnish customers onto their platform. And, and that includes naturally my sequel but also OCI and so forth. So that's how I'm seeing this playing out. I think, you know, again, Oracle's reporting is indicating that, and I think what we saw, Oracle Cloud world is definitely validating the idea that Oracle can make more waves in the overall market in this regard. >>You know, I, I've floated this idea of Super cloud, it's kind of tongue in cheek, but, but there, I think there is some merit to it in terms of building on top of hyperscale infrastructure and abstracting some of the, that complexity. And one of the things that I'm most interested in is industry clouds and an Oracle acquisition of Cerner. I was struck by Larry Ellison's keynote, it was like, I don't know, an hour and a half and an hour and 15 minutes was focused on healthcare transformation. Well, >>So vertical, >>Right? And so, yeah, so you got Oracle's, you know, got some industry chops and you, and then you think about what they're building with, with not only oci, but then you got, you know, MyQ, you can now run in dedicated regions. You got ADB on on Exadata cloud to customer, you can put that OnPrem in in your data center and you look at what the other hyperscalers are, are doing. I I say other hyperscalers, I've always said Oracle's not really a hyperscaler, but they got a cloud so they're in the game. But you can't get, you know, big query OnPrem, you look at outposts, it's very limited in terms of, you know, the database support and again, that that will will evolve. But now you got Oracle's got, they announced Alloy, we can white label their cloud. So I'm interested in what you guys think about these moves, especially the industry cloud. We see, you know, Walmart is doing sort of their own cloud. You got Goldman Sachs doing a cloud. Do you, you guys, what do you think about that and what role does Oracle play? Any thoughts? >>Yeah, let me lemme jump on that for a moment. Now, especially with the MyQ, by making that available in multiple clouds, what they're doing is this follows the philosophy they've had the past with doing cloud, a customer taking the application and the data and putting it where the customer lives. If it's on premise, it's on premise. If it's in the cloud, it's in the cloud. By making the mice equal heat wave, essentially a plug compatible with any other mice equal as far as your, your database is concern and then giving you that integration with O L A P and ML and Data Lake and everything else, then what you've got is a compelling offering. You're making it easier for the customer to use. So I look the difference between MyQ and the Oracle database, MyQ is going to capture market more market share for them. >>You're not gonna find a lot of new users for the Oracle debate database. Yeah, there are always gonna be new users, don't get me wrong, but it's not gonna be a huge growth. Whereas my SQL heatwave is probably gonna be a major growth engine for Oracle going forward. Not just in their own cloud, but in AWS and in Azure and on premise over time that eventually it'll get there. It's not there now, but it will, they're doing the right thing on that basis. They're taking the services and when you talk about multicloud and making them available where the customer wants them, not forcing them to go where you want them, if that makes sense. And as far as where they're going in the future, I think they're gonna take a page outta what they've done with the Oracle database. They'll add things like JSON and XML and time series and spatial over time they'll make it a, a complete converged database like they did with the Oracle database. The difference being Oracle database will scale bigger and will have more transactions and be somewhat faster. And my SQL will be, for anyone who's not on the Oracle database, they're, they're not stupid, that's for sure. >>They've done Jason already. Right. But I give you that they could add graph and time series, right. Since eat with, Right, Right. Yeah, that's something absolutely right. That's, that's >>A sort of a logical move, right? >>Right. But that's, that's some kid ourselves, right? I mean has worked in Oracle's favor, right? 10 x 20 x, the amount of r and d, which is in the MyQ space, has been poured at trying to snatch workloads away from Oracle by starting with IBM 30 years ago, 20 years ago, Microsoft and, and, and, and didn't work, right? Database applications are extremely sticky when they run, you don't want to touch SIM and grow them, right? So that doesn't mean that heat phase is not an attractive offering, but it will be net new things, right? And what works in my SQL heat wave heat phases favor a little bit is it's not the massive enterprise applications which have like we the nails like, like you might be only running 30% or Oracle, but the connections and the interfaces into that is, is like 70, 80% of your enterprise. >>You take it out and it's like the spaghetti ball where you say, ah, no I really don't, don't want to do all that. Right? You don't, don't have that massive part with the equals heat phase sequel kind of like database which are more smaller tactical in comparison, but still I, I don't see them taking so much share. They will be growing because of a attractive value proposition quickly on the, the multi-cloud, right? I think it's not really multi-cloud. If you give people the chance to run your offering on different clouds, right? You can run it there. The multi-cloud advantages when the Uber offering comes out, which allows you to do things across those installations, right? I can migrate data, I can create data across something like Google has done with B query Omni, I can run predictive models or even make iron models in different place and distribute them, right? And Oracle is paving the road for that, but being available on these clouds. But the multi-cloud capability of database which knows I'm running on different clouds that is still yet to be built there. >>Yeah. And >>That the problem with >>That, that's the super cloud concept that I flowed and I I've always said kinda snowflake with a single global instance is sort of, you know, headed in that direction and maybe has a league. What's the issue with that mark? >>Yeah, the problem with the, with that version, the multi-cloud is clouds to charge egress fees. As long as they charge egress fees to move data between clouds, it's gonna make it very difficult to do a real multi-cloud implementation. Even Snowflake, which runs multi-cloud, has to pass out on the egress fees of their customer when data moves between clouds. And that's really expensive. I mean there, there is one customer I talked to who is beta testing for them, the MySQL heatwave and aws. The only reason they didn't want to do that until it was running on AWS is the egress fees were so great to move it to OCI that they couldn't afford it. Yeah. Egress fees are the big issue but, >>But Mark the, the point might be you might wanna root query and only get the results set back, right was much more tinier, which been the answer before for low latency between the class A problem, which we sometimes still have but mostly don't have. Right? And I think in general this with fees coming down based on the Oracle general E with fee move and it's very hard to justify those, right? But, but it's, it's not about moving data as a multi-cloud high value use case. It's about doing intelligent things with that data, right? Putting into other places, replicating it, what I'm saying the same thing what you said before, running remote queries on that, analyzing it, running AI on it, running AI models on that. That's the interesting thing. Cross administered in the same way. Taking things out, making sure compliance happens. Making sure when Ron says I don't want to be American anymore, I want to be in the European cloud that is gets migrated, right? So tho those are the interesting value use case which are really, really hard for enterprise to program hand by hand by developers and they would love to have out of the box and that's yet the innovation to come to, we have to come to see. But the first step to get there is that your software runs in multiple clouds and that's what Oracle's doing so well with my SQL >>Guys. Amazing. >>Go ahead. Yeah. >>Yeah. >>For example, >>Amazing amount of data knowledge and, and brain power in this market. Guys, I really want to thank you for coming on to the cube. Ron Holger. Mark, always a pleasure to have you on. Really appreciate your time. >>Well all the last names we're very happy for Romanic last and moderator. Thanks Dave for moderating us. All right, >>We'll see. We'll see you guys around. Safe travels to all and thank you for watching this power panel, The Truth About My SQL Heat Wave on the cube. Your leader in enterprise and emerging tech coverage.

(upbeat music) >> Hello everyone, and welcome to Fal.Con 2022, CrowdStrike's big user conference. You're watching the Cube. My name is Dave Vallante. I'm here with my co-host David Nicholson. CrowdStrike is a company that was founded over 10 years ago. This is about 11 years, almost to the day. They're 2 billion company in revenue terms. They're growing at about 60% a year. They've got a path they've committed to wall street. They've got a path to $5 billion by mid decade. They got a $40 billion market cap. They're free, free cash flow positive and trying to build essentially a generational company with a very growing Tam and a modern platform. CrowdStrike has the fundamental belief that the unstoppable breach is a myth. David Nicholson, even though CSOs don't believe that, CrowdStrike is on a mission. Right? >> I didn't hear the phrase. Zero trust mentioned in the keynote >> Right. >> What was mentioned was this idea that CrowdStrike isn't simply a tool, it's a platform. And obviously it takes a platform to get to 5 billion. >> Yeah. So let's talk about the keynote. George Kurtz, the CEO came on. I thought the keynote was, was measured, but very substantive. It was not a lot of hype in there. Most security conferences, the two exceptions are this one and Reinforce, Amazon's big security conference. Steven Schmidt. The first time I was at a Reinforce said "All this narrative about security is such a bad industry" and "We're not doing a great job." And "It's so scary." That doesn't help the industry. George Kurtz sort of took a similar message. And you know what, Dave? When I think of security outside the context of IT I think of like security guards >> Right. >> Like protecting the billionaires. Right? That's a powerful, you know, positive thing. It's not really a defensive movement even though it is defensive but so that was kind of his posture there. But he talked about essentially what I call, not his words permanent changes in the, in the in the cyber defense industry, subsequent to the pandemic. Again, he didn't specifically mention the pandemic but he alluded to, you know, this new world that we live in. Fal.Con is a hundred sessions, eight tracks. And really his contention is we're in the early innings. These guys got 20,000 customers. And I think they got the potential to have hundreds of thousands. >> Yeah. Yeah. So, if I'm working with a security company I want them to be measured. I'm not looking for hype. I don't want those. I don't want those guards to be in disco shirts. I want them in black suits. So, you know, so the, the, the point about measured is is I think a positive one. I was struck by the competence of the people who were on stage today. I have seen very very large companies become kind of bureaucratic. And sometimes you don't get the best of the best up on stage. And we saw a lot of impressive folks. >> Yeah. Michael Santonis get up, but before we get to him. So, a couple points that Kurtz made he said, "digital transformation is needed to bring modern architectures to IT. And that brings modern security." And he laid out that whole sort of old way, new way very Andy Jassy-like old guard, new guard. He didn't hit on it that hard but he basically said "security is all about mitigating risk." And he mentioned that the the CSO I say CSO, he says CSO or CSO has a seat at the board. Now, many CSOs are board level participants. And then he went into the sort of four pillars of, of workload, and the areas that they focus on. So workload to them is end point, identity, and then data. They don't touch network security. That's where they partner with the likes of Cisco, >> Right. >> And Palo Alto networks. But then they went deep into identity threat protection, data, which is their observability platform from an acquisition called Humio. And then they went big time into XDR. We're going to talk about all this stuff. He said, "data is the new digital currency." Talked a lot about how they're now renaming, Humio, Log Scale. That's their Splunk killer. We're going to talk about that all week. And he talked a little bit about the single agent architecture. That is kind of the linchpin of CrowdStrike's architecture. And then Michael Santonis, the CTO came on and did a deep dive into each of those, and really went deep into XDR extended, right? Detection and response. XDR building on EDR. >> Yeah. I think the subject of XDR is something we'll be, we'll be touching on a lot. I think in the next two days. I thought the extension into observability was very, very interesting. When you look at performance metrics, where things are gathering those things in and being able to use a single agent to do so. That speaks to this idea that they are a platform and not just a tool. It's easy to say that you aspire to be a platform. I think that's a proof point. On the subject, by the way of their fundamental architecture. Over the years, there have been times when saying that your infrastructure requires an agent that would've been a deal killer. People say "No agents!" They've stuck to their guns because they know that the best way to deliver what they deliver is to have an agent in the environment. And it has proven to be the right strategy. >> Well, this is one of the things I want to explore with the technical architects that come on here today is, how do you build a lightweight agent that can do everything that you say it's going to do? Because they started out at endpoint, and then they've extended it to all these other modules, you know, identity. They're now into observability. They've got this data platform. They just announced that acquisition of another company they bought Preempt, which is their identity. They announced Responsify, responsify? Reposify, which is sort of extends the observability and gives them visualization or visibility. And I'm like, how do you take? How do you keep an agent lightweight? That's one of the things I want to better understand. And then the other is, as you get into XDR I thought Michael Santonis was pretty interesting. He had black hat last month. He did a little video, you know. >> That was great >> Man in the street, what's XDR what's XDR what's XDR. I thought the best response was, somebody said "a holistic approach to end point security." And so it's really an evolution of, of EDR. So we're going to talk about that. But, how do you keep an agent lightweight and still support all these other capabilities? That's something I really want to dig into, you know, without getting bloated. >> Yeah, Yeah. I think it's all about the TLAs, Dave. It's about the S, it's about SDKs and APIs and having an ecosystem of partners that will look at the lightweight agent and then develop around it. Again, going back to the idea of platform, it's critical. If you're trying to do it all on your own, you get bloat. If you try to be all things to all people with your agent, if you try to reverse engineer every capability that's out there, it doesn't work. >> Well that's one of the things that, again I want to explore because CrowdStrike is trying to be a generational company. In the Breaking Analysis that we published this week. One of the things I said, "In order to be a generational company you have to have a strong ecosystem." Now the ecosystem here is respectable, you know, but it's obviously not AWS class. You know, I think Snowflake is a really good example, ServiceNow. This feels to me like ServiceNow circa 2013. >> Yeah. >> And we've seen how ServiceNow has evolved. You know, Okta, bought Off Zero to give them the developer angle. We heard a little bit about a developer platform today. I want to dig into that some more. And we heard a lot about everybody hates their DLP. I want to get rid of my DLP, data loss prevention. And so, and the same thing with the SIM. One of the ETR round table, Eric Bradley, our colleague at a round table said "If it weren't for the compliance requirements, I would replace my SIM with XDR." And so that's again, another interesting topic. CrowdStrike, cloud native, lightweight agent, you know, some really interesting tuck in acquisitions. Great go-to-market, you know, not super hype just product that works and gets stuff done, you know, seems to have a really good, bright future. >> Yeah, no, I would agree. Definitely. No hype necessary. Just constant execution moving forward. It's clearly something that will be increasingly in demand. Another subject that came up that I thought was interesting, in the keynote, was this idea of security for elections, extending into the realm of misinformation and disinformation which are both very very loaded terms. It'll be very interesting to see how security works its way into that realm in the future. >> Yeah, yeah, >> Yeah. >> Yeah, his guy, Kevin Mandia, who is the CEO of Mandiant, which just got acquired. Google just closed the deal for $5.4 billion. I thought that was kind of light, by the way, I thought Mandiant was worth more than that. Still a good number, but, and Kevin, you know was the founder and, >> Great guy. >> they were self-funded. >> Yeah, yeah impressive. >> So. But I thought he was really impressive. He talked about election security in terms of hardening you know, the election infrastructure, but then, boom he went right to what I see as the biggest issue, disinformation. And so I'm sitting there asking myself, okay how do you deal with that? And what he talked about was mapping network effects and monitoring network effects, >> Right. >> to see who's pumping the disinformation and building career streams to really monitor those network effects, positive, you know, factual or non-factual network or information. Because a lot of times, you know, networks will pump factual information to build credibility. Right? >> Right. >> And get street cred, earn that trust. You know, you talk about zero trust. And then pump disinformation into the network. So they've now got a track. We'll get, we have Kevin Mandia on later with Sean Henry who's the CSO yeah, the the CSO or C S O, chief security officer of CrowdStrike >> more TLA. Well, so, you can think of it as almost the modern equivalent of the political ad where the candidate at the end says I support this ad or I stand behind whatever's in this ad. Forget about trying to define what is dis or misinformation. What is opinion versus fact. Let's have a standard for finding, for exposing where the information is coming from. So if you could see, if you're reading something and there is something that is easily de-code able that says this information is coming from a troll farm of a thousand bots and you can sort of examine the underlying ethos behind where this information is coming from. And you can take that into consideration. Personally, I'm not a believer in trying to filter stuff out. Put the garbage out there, just make sure people know where the garbage is coming from so they can make decisions about it. >> So I got a thought on that because, Kevin Mandia touched on it. Again, I want to ask about this. He said, so this whole idea of these, you know detecting the bots and monitoring the networks. Then he said, you can I think he said something that's to the effect of. "You can go on the offensive." And I'm thinking, okay, what does that mean? So for instance, you see it all the time. Anytime I see some kind of fact put out there, I got to start reading the comments and like cause I like to see both sides, you know. I'm right down the middle. And you'll go down and like 40 comments down, you're like, oh this is, this is fake. This video was edited, >> Right. >> Da, da, da, da, and then a bunch of other people. But then the bots take over and that gets buried. So, maybe going on the offensive is to your point. Go ahead and put it out there. But then the bots, the positive bots say, okay, by the way, this is fake news. This is an edited video FYI. And this is who put it out and here's the bot graph or something like that. And then you attack the bots with more bots and then now everybody can sort of of see it, you know? And it's not like you don't have to, you know email your friend and saying, "Hey dude, this is fake news." >> Right, right. >> You know, Do some research. >> Yeah. >> Put the research out there in volume is what you're saying. >> Yeah. So, it's an, it's just I thought it was an interesting segue into another area of security under the heading of election security. That is fraught with a lot of danger if done wrong, if done incorrectly, you know, you you get into the realm of opinion making. And we should be free to see information, but we also should have access to information about where the information is coming from. >> The other narrative that you hear. So, everything's down today again and I haven't checked lately, but security generally, we wrote about this in our Breaking Analysis. Security, somewhat, has held up in the stock market better than the broad tech market. Why? And the premise is, George Kurt said this on the last conference call, earnings call, that "security is non-discretionary." At the same time he did say that sales cycles are getting a little longer, but we see this as a positive for CrowdStrike. Because CrowdStrike, their mission, or one of their missions is to consolidate all these point tools. We've talked many, many times in the Cube, and in Breaking Analysis and on Silicon Angle, and on Wikibon, how the the security business use too many point tools. You know this as a former CTO. And, now you've got all these stove pipes, the number one challenge the CSOs face is lack of talent. CrowdStrike's premise is they can consolidate that with the Fal.Con platform, and have a single point of control. "Single pane of glass" to use that bromide. So, the question is, is security really non-discretionary? My answer to that is yes and no. It is to a sense, because security is the number one priority. You can't be lax on security. But at the same time the CSO doesn't have an open checkbook, >> Right. >> He or she can't just say, okay, I need this. I need that. I need this. There's other competing initiatives that have to be taken in balance. And so, we've seen in the ETR spending data, you know. By the way, everything's up relative to where it was, pre you know, right at the pandemic, right when, pandemic year everything was flat to down. Everything's up, really up last year, I don't know 8 to 10%. It was expected to be up 8% this year, let's call it 6 to 7% in 21. We were calling for 7 to 8% this year. It's back down to like, you know, 4 or 5% now. It's still healthy, but it's softer. People are being more circumspect. People aren't sure about what the fed's going to do next. Interest rates, you know, loom large. A lot of uncertainty out here. So, in that sense, I would say security is not non-discretionary. Sorry for the double negative. What's your take? >> I think it's less discretionary. >> Okay. >> Food, water, air. Non-discretionary. (David laughing) And then you move away in sort of gradations from that point. I would say that yeah, it is, it falls into the category of less-discretionary. >> Alright. >> Which is a good place to be. >> Dave Nicholson and David Vallante here. Two days of wall to wall coverage of Fal.Con 2022, CrowdStrike's big user conference. We got some great guests. Keep it right there, we'll be right back, right after this short break. (upbeat music)

>>Hi, everyone. Welcome to this program. Sponsored by HPE. I'm your host, Lisa Martin. We're here talking about being confident and trusting your server security with HPE. I have two guests here with me to talk about this important topic. Cole Humphreys joins us global server security product manager at HPE and Anne Potton trusted supply chain program lead at HPE guys. It's great to have you on the program. Welcome. >>Hi, thanks. Thank you. It's nice to be here, Anne. >>Let's talk about really what's going on there. Some of the trends, some of the threats there's so much change going on. What is HPE seeing? >>Yes. Good question. Thank you. Yeah. You know, cyber security threats are increasing everywhere and it's causing disruption to businesses and governments alike worldwide. You know, the global pandemic has caused limited employee availability. Originally this has led to material shortages and these things opens the door perhaps even wider for more counterfeit parts and products to enter the market. And these are challenges for consumers everywhere. In addition to this, we're seeing the geopolitical environment has changed. We're seeing, you know, rogue nation states using cybersecurity warfare tactics to immobilize an entity's ability to operate and perhaps even use their tactics for revenue generation, the Russian invasion of Ukraine as one example, but businesses are also under attack. You know, for example, we saw solar winds, software supply chain was attacked two years ago, which unfortunately went a notice for several months and then this was followed by the colonial pipeline attack and numerous others. >>You know, it just seems like it's almost a daily occurrence that we hear of a cyber attack on the evening news. And in fact, it's estimated that the cyber crime cost will reach over 10 and a half trillion dollars by 2025 and will be even more profitable than the global transfer of all major illegal drugs combined. This is crazy, you know, the macro environment in which companies operate in has changed over the years. And you know, all of these things together and coming from multiple directions presents a cybersecurity challenge for an organization and in particular it's supply chain. And this is why HPE is taking proactive steps to mitigate supply chain risk so that we can provide our customers with the most secure products and services. >>So Cole, let's bring you into the conversation and did a great job of summarizing the major threats that are going on the tumultuous landscape. Talk to us Cole about the security gap. What is it? What is HPE seeing and why are organizations in this situation? >>Hi, thanks Lisa. You know, what we're seeing is as this threat landscape increases to, you know, disrupt or attempt to disrupt our customers and our partners and ourselves, I, it's a kind of a double edge if you will, because you're seeing the increase in attacks, but what you're not seeing is that equal to growth of the skills and the experiences required to address the scale. So it really puts the pressure on companies because you have a skill gap, a talent gap, if you will. There's, you know, for example, there are projected to be three and a half million cyber roles open in the next few years, right? So all this scale is growing and people are just trying to keep up, but the gap is growing just literally the people to stop the bad actors from attacking the data and, and to complicate matters. You're also seeing a dynamic change of the who and the, how the attacks are happening, right? >>The classic attacks that you've seen, you know, and the SDK and all the, you know, the history books, those are not the standard plays anymore. You'll have, you know, nation states going after commercial entities and, you know, criminal syndicates and alluded to that. There's more money in it than the international drug trade. So you can imagine the amount of criminal interest in getting this money. So you put all that together. And the increasing of attacks, it just is really pressing down is, is literally, I mean, the reports we're reading over half of everyone, obviously the most critical infrastructure cares, but even just mainstream computing requirements need to have their data protected, help me protect my workloads and they don't have the people in house, right? So that's where partnership is needed, right? And that's where we believe, you know, our approach with our partner ecosystem is it's not HPE delivering everything ourself, but all of us in this together is really what we believe. The only way we're gonna be able to get this done. >>So collets double click on that HPE and its partner ecosystem can provide expertise that companies and every industry are lacking. You're delivering HPE as a 360 degree approach to security. Talk about what that 360 degree approach encompasses. >>Thank you. It is, it is an approach, right? Because I feel that security is a, it is a, it is a thread that will go through the entire construct of a technical solution, right there. Isn't a, oh, if you just buy this one server with this one feature, you don't have to worry about anything else. It's really it's everywhere. And at least the way we believe it, it's everywhere. And it in a 360 degree approach, the way we like to frame it is it's, it's this beginning with our supply chain, right? We take a lot of pride in the designs, you know, the really smart engineering teams, the design, our technology, our awesome world class global operations team, working in concert to deliver some of these technologies into the market. That is a huge, you know, great capability, but also a huge risk to customers, cuz that is the most vulnerable place that if you inject some sort of malware or, or tampering at that point, you know, the rest of the story really becomes mute because you've already defeated, right? >>And then you move in to you physically deployed that through our global operations. Now you're in an operating environment. That's where automation becomes key, right? We have software innovations in, you know, our ILO product of management inside those single servers. And we have really cool new grain lake for compute operations management services out there that give customers more control back and more information to deal with this scaling problem. And then lastly, as you begin to wrap up, you know, the natural life cycle and you need to move to new platforms and new technologies, right? We think about the exit of that life cycle and how do we make sure we dispose of the data and, and move those products into a secondary life cycle so that we can move back into this kind of circular 360 degree approach. We don't wanna leave our customers hanging anywhere in this entire journey. >>That 360 degree approach is so critical, especially given as we've talked about already in this segment, the changes, the dynamics in the environment. And as Cole said, this is this 360 degree approach that HPE is delivering is beginning in the manufacturing supply chain seems like the first line of defense against cyber attackers talked to us about why that's important. And where did the impetus come from? Was that COVID was that customer demand? >>Yep. Yep. Yeah. The supply chain is critical. Thank you. So in 2018, we, we could see all of these cybersecurity issues starting to emerge and predicted that this would be a significant challenge for our industry. So we formed a strategic initiative called the trusted supply chain program designed to mitigate cybersecurity risk in the supply chain and really starting at the product with the product life cycle, starting at the product design phase and moving through sourcing and manufacturing, how we deliver products to our customers and ultimately a product's end of life that Cole mentioned. So in doing this, we're able to provide our customers with the most secure products and services, whether they're buying their servers from, for their data center or using our own GreenLake services. So just to give you some examples, something that is foundational to our trusted supply chain program, we've built a very robust cybersecurity supply chain risk management program that includes assessing our risk at our all factories and our suppliers. >>Okay. We're also looking at strengthening our software supply chain by developing mechanisms to identify software vulnerabilities and hardening our own software build environments to protect against counterfeit parts that I mentioned in the beginning from entering our supply chain, we've recently started a blockchain program so that we can identify component provenance and trace part parts back to their original manufacturers. So our security efforts, you know, continue even after product manufacturing, we offer three different levels of secure delivery services for our customers, including, you know, a dedicated truck and driver or perhaps even an exclusive use vehicle. We can tailor our delivery services to whatever the customer needs. And then when a product is at its end of life, products are either recycled or disposed using our approved vendors. So our servers are also equipped with the one button secure erase that erases every bite of data, including firmware data and talking about products, we've taken additional steps to provide additional security features for our products. >>Number one, we can provide platform certificates that allow the user to cryptographically verify that their server hasn't been tampered with from the time it left the manufacturing facility to the time that it arrives at the customer's factory facility. In addition to that, we've launched a dedicated line of trusted supply chain servers with additional security features, including secure configuration lock chassis intrusion detection. And these are assembled at our us factory by us vetted employees. So lots of exciting things happening within the supply chain, not just to shore up our own supply chain risk, but also to provide our customer the most. So that announcement. >>All right, thank you. You know, they've got great setup though, because I think you gotta really appreciate the whole effort that we're putting into, you know, bringing these online. But one of the just transparently the gaps we had as we proved this out was as you heard, this initial proof was delivered with assembly in the us factory employees, you know, fantastic program really successful in all our target industries and, and even expanding to places we didn't really expect it to, but it's kind of going to the point of security. Isn't just for one industry or one set of customers, right? We're seeing it in our partners. We're seeing it in different industries than we have in the past. And, but the challenge was we couldn't get this global right out the gate, right? This has been a really heavy transparently, a us federal activated focus, right? >>If, if you've been tracked in what's going on since may of last year, there's been a call to action to improve a nation cybersecurity. So we've been all in on that and we have an opinion and we're working hard on that, but we're a global company, right? How can we get this out to the rest of the world? Well guess what, this month we figured it out and well, let's take a lot more than those month. We did a lot of work that we figured it out and we have launched a comparable service globally called server security optimization service, right? HPE server security optimization service for proli. I like to call it, you know, S S O S sauce, right? Do you wanna be clever HPE sauce that we can now deploy globally? We get that product hardened in the supply chain, right? Because if you take the best of your supply chain and you take your technical innovations, that you've innovated into the server, you can deliver a better experience for your customers, right? >>So the supply chain equals server technology and our awesome, you know, services teams deliver supply chain security at that last mile. And we can deliver it in the European markets. And now in the Asia Pacific markets right now, we could always just, we could ship it from the us to other markets. So we could always fulfill this promise, but I think it's just having that local access into your partner ecosystem and stuff just makes more sense, but it is big deal for us because now we have activated a meaningful supply chain security benefit for our entire global network of partners and customers, and we're excited about it. And we hope our customers are too. >>That's huge Cole. And, and in terms of this significance of the impact that HPE is delivering through its partner ecosystem globally as the supply chain continues to be one of the terms on everyone's lips here, I'm curious Cole, we just couple months ago, we're at discover. Can you talk about what HPE is doing here from a, a security perspective, this global approach that it's taking as it relates to what HPE was talking about at discover, in terms of we wanna secure the enterprise to deliver these experiences from edge to cloud. >>You know, I feel like for, for me, and, and I think you look at the shared responsibility models and you know, other frameworks out there, the way we're the way I believe it to be is this is it's, it's a solution, right? There's not one thing, you know, if you use HPE supply chain, the end, or if you buy an HPE pro line the end, right. It is an integrated connectedness with our, as a service platform, our service and support commitments, you know, our extensive partner ecosystem, our alliances, all of that comes together to ultimately offer that assurance to a customer. And I think these are specific, meaningful proof points in that chain of custody, right? That chain of trust, if you will, because as the world becomes more, zero trust, we are gonna have to prove ourselves more, right. And these are those kind of technical I credentials and identities and, you know, capabilities that a modern approach to security need. >>Excellent, great work there. And let's go ahead and, and take us home, take the audience through what you think ultimately, what HPE is doing, really infusing security at that 360 degree approach level that we talked about. What are some of the key takeaways that you want the audience that's watching here today to walk away with? >>Right. Right. Thank you. Yeah. You know, with the increase in cyber security threats, everywhere affecting all businesses globally, it's gonna require everyone in our industry to continue to evolve in our supply chain security in our product security in order to protect our customers in our business, continuity protecting our supply chain is something that HPE is very committed to and takes very seriously. So, you know, I think regardless of whether our customers are looking for an on-prem solution or a GreenLake service, you know, HPE is proactively looking for in mitigating any security risk in this supply chain so that we can provide our customers with the most secure products and services. >>Awesome. Ann and Cole. Thank you so much for joining me today, talking about what HPE is doing here and why it's important as our program is called to be confident and trust your server security with HPE and how HPE is doing that. Appreciate your insights on your time. >>Thank you so much for having thank >>You, Lisa, >>For Cole Humphreys and Anne Potton I'm Lisa Martin. We wanna thank you for watching this segment in our series. Be confident and trust your server security with HPE. We'll see you soon.

>>from around >>The globe. It's the cube with digital coverage of IBM. Think 2021 brought to you by IBM Hello and welcome back everyone to the cubes coverage of IBM Think 2021 virtual. I'm john for your host of the cube. I'm excited to have this next guest cube alumni Casey choi corporate E V P. Executive vice president and general manager at Samsung Mobile, the B to B and B to G team Casey, great to see you how you been >>john it is wonderful to see you and it's been way too long. Great to be back on the cube with you. Looking forward to our conversation and hope you're safe >>and same to you. Great to see you. I'm so excited. One of the things I've really admired about you and our conversations in the past as you've always had your finger on the pulse of the waves and you've always involved with some really great engineering work and I want to dig into this now because um your role is really hitting the industry four dot oh kind of wave, which is the confluence of tech, media, entertainment, every vertical big data IOT and the the with the distributed computing now called the cloud and edge. It really sets the table for what is now going to be the preferred architecture probably for the next 20 plus years. So give us your view on how you see the the changing landscape in the industry. >>Yeah, I think I think you you covered you know, all of the major seismic shifts that are happening here and then, you know, as we've all experienced over the last, you know, over a year with the covid pandemic, that's actually accelerated a lot of the thinking around the edge. We've certainly seen use cases proliferate whether it be in things such as health care, Manufacturing is also taken. I think a real hard look at the applicability of these types of solutions. Uh we've seen things like for example 5G pick up in these sort of industrial applications as um you know as the industrial companies have thought about worker safety as they thought about automation as they thought about, you know, utilize being more protocols as well as you know, bringing these technologies and processes together in a way that will help to kind of reinvent their their particular economic base as well as kind of the learnings that we've seen over the last year coming from these new uh safety protocols as well as the need for now with the economy is picking back up the need for productivity as well as you know, greater efficiencies coming from these types of solutions. So we've seen that confluence happened and then certainly on our end as our network connectivity has become much stronger, lower latency as well as the endpoint capabilities have increased dramatically over the last few years, as S O C. S and others have taken root. We've seen the edge, if you will start to be more extreme in the sense that it's pushing further and further out beyond what we originally envisioned the edge to be. >>And the S O C trend actually highlights that it's not so much about moore's law as it is more about more chips, more more performance if you look at actual performance, David and they just put out a report on this where there's much more performance now than ever before coming in from the combined energy. So uh and combined processing power out there. So it's super, super amazing what you can do at the edge. Before we get into the edge. I want to just Clarify, what is your new role there? I mean Samsung is known for, I'll see the B2C with the phones and everything else, but you have a specific focus uh what is your main focus there? >>Yeah, our missions pretty straightforward and as everyone knows, you know, Samsung is this uh you know, powerhouse uh consumer electronics company we pride ourselves in and obviously uh our our position in that, but um we also have a very significant role really in the business to business and in the government and financial services sector space uh with our mobile devices as well as with our knock security platform solution and device management platform. We actually provide a large portion of the secure devices for governments worldwide, as well as the Knox platform that is built into the majority of our both consumer as well as business devices uh really allows for uh that uh if you will that next protective layer on top of the android. Os that allows for things such as personal and professional profile. So we produce those solutions out of my team um as well as we provide really the the go to market support as well as the R and D support for that platform, including uh an area that's growing rapidly for us, which is in the rugged category, which is, you know, one of the key products that we're using for some of these edge applications that will be talking about. >>Great, let's jump into that. What are you guys doing specifically on the edge computing space? Let's dig into it. >>Yeah, I think, you know, maybe the place to start on that is uh we're really kind of re envisioning what the edges and uh I mentioned a little earlier that uh with what's occurring in the performance profile and really the functional profile, what is being produced at the device level, You know, we're talking about in the last few years, the fidelity and the capabilities are, you know, in, you know, what I would call the the computer class type uh, functions as well as obviously mobile devices have always been um, communication gateways for a number of functions, whether they be, you know, videos or photos, their multi sensory in nature. And as this has become more practical and the connective tissue has gotten there with five G as well as all kinds of other, you know, fast, low latency communications capabilities and wifi six U w b, you know, included within that. What we're finding is that the use case to bring applications, especially cloud, native and container native applications uh, to these devices to be, you know, augmenting the the endpoint user, the frontline worker, uh really the Knowledge Worker and moving that capability further away from if you will and an extension to cloud services as well as the M E C type services. This is where we see it going and really what we're trying to to work on with IBM and with red hat is how do we, you know, continue to fortify this, not only from a actual processing ai Ml capability, but also equipped these devices so that they can fully participate as part of a multi hybrid cloud architecture. Uh the endpoint is really one of the last baskets where we have not uh kind of conquered bringing uh, you know, cloud first container native applications really to that point and we believe the time is right because of the capabilities that are there along with again, uh the connectivity that is becoming much more ubiquitous now to allow for that type of architecture to exist. And uh, we're starting to call this the intelligent human edge as well. We think that the applications that will see for this are you know, ones that will uh, you know, make the, the human operator more productive, safer, uh certainly more efficient and uh we think that this augmentation of that front line workers is an area that we, we are, you know, put put our, our steaks on in terms of pioneering just because of our experience in that mobility space and in the consumer space. >>That's great. You brought up red hat and IBM obviously red hat was bought by IBM Arvin Arvin Ceo. Well I interviewed in 2019 and the cube that red hat summit, ironically a couple months later by the company just smile on his face. He likes clowns. >>You had something to do with that. You know, >>he wanted to, I could see he wanted to say it, but but he loves the cloud. Everyone who knows Arvin knows that he's into the cloud in a new way in this edge piece that you mentioned that you're using red hat and IBM for hybrid. This is what the new operating system is going to look like. It's a completely distributed system and the edge is just part of that operating model. This is what their vision is, which I love by the way, I think that redefines what that is. Are you saying that you guys are working with red hat and IBM for that hybrid edge piece. How does that work? Can you take me through that? >>Yeah, that's exactly right. I mean this is a obviously the ecosystems bigger than that, but IBM and red Hat really bring the expertise really around uh container ecosystems, certainly the work that they have done in terms of multi hybrid cloud, uh certainly the work that open ship has brought forward in terms of, you know, multi platform capability. We really love the concept of developed once run any sort of a construct. And uh when you think about it, the mobile platforms specifically, you know, ours as well as others has really been that last bastion of, of areas where more of the development is on a particular platform, it's more bespoke. We think that by broaching this uh, you know, in conjunction with IBM and Red Hat, um this is going to give us the ability to have these device architecture has become a full voting member if you will of of that hybrid cloud architecture and of that microservices can contain architecture that is becoming much more prevalent. So this is really the work that we're doing. And then obviously we're working at a vertical level to see where are the applicable use cases in places such as the design studio we have in Singapore, where with the Singaporean government, we're looking at really bringing a renaissance to industry ford auto type application, smart factory automation, public safety. These areas where we believe that this type of architecture can be, can be deployed. >>That's awesome. And totally believe that the edge um it's still gonna be pushed further and further out, honestly having that open, open standards of of hybrid. So I gotta ask you on the edge just well I got you here, you know, one of the things that you see clearly as the industrial edge, it's called factories and whatnot. You mentioned some of those and then you got the human piece, which is like people have phones and wearables and other things are gonna be happening. So as you start to have those endpoints which are then gonna be connected into a distributed network, take a hybrid cloud, so to be multiple clouds. But yeah, that's the subsystem within the cloud construct. The complaint has been not complaint, but the observation has been and complain if you look at it that the edges limited by power and connectivity. Okay. These are like key basic concepts, How is the connectivity option? I know five Gs coming, it's here, we're seeing it being deployed, we got people saying, hey, this is our business application, clearly got higher throughput, not as much range, give us your take on this because this becomes important. I'll see powers battery driven, getting better and better and and power is getting uh is not really that much of a problem, but connectivity seems to be what's your vision of this? >>Yeah, and you know, there's a lot of ways to approach that, I will tell you on the industrial side, at least in some of the deployments and pOC is that we've been involved in over the last year to two years, um connectivity is an issue uh and a lot of it has to do with the infrastructure that is available in many of these uh you know, plants or factories or you know, points of distribution. Uh they're not necessarily, you know, leading edge in many cases we're dealing with uh you know what I would call subpar connectivity, it's not like an office complex where You may have, you know, kind of state of the art wifi capability or you know, 10 gig capability or whatever it might be. Um So what we've, what we've found on that is it requires actually quite a bit of work in terms of fine tuning both on the network infrastructure side, whatever that might be. Uh Or we've also found that on the device side, the program ability of the of the device in terms of tuning it for whatever connective environment would be there. And we worked with everything from, you know, bluetooth, you w b uh to wifi six and everything in between and in many cases they're multiple uh you know, protocols or connectivity methods that are there. So, you know, one thing we've learned is that um you can't you can't necessarily assume that in a especially in a factory environment that those conditions are going to allow for um uh you know, consistency, so you have to engineer around that, you know, and some of the things that we've done are really around making sure that we've got uh, you know, deployable program ability at the device as well as, you know, uh more dynamic network tuning capabilities that will allow for, you know, better connectivity and handle things such as consistency. >>All right, Casey, Great to incite final question for you why Samsung and IBM, what's the bottom line? >>Yeah, I think the bottom line is really straightforward. I mean we've had a, you know, 30 year history of working together, uh you know, we've been mutual customers to each other. We do a lot of work for IBM in regards to foundry type services and semiconductor services and then we work very closely with them over many years on applications. So number one, there's been a natural relationship just in the the the services that we provided to each other. But as as we look at really to go to market, I mean, IBM brings so much credibility from a vertical market perspective. Um there's a trusted advisor type status that I think is is very profound and it's been built over many years, you know, delivering on the promises and on our end. I think what we bring is really this uh this uh cycle time that is driven by our passion in the consumer space. And when we start to apply that into more of these vertical industrial, uh you know, vertical sectors, I think that combination is very powerful. Um the services piece obviously comes into play with IBM and then really the red hat piece of this really just puts the icing on the cake with really the market leadership in uh you know, hybrid cloud and in the container native architecture. So it's just a very powerful combo. And um you know, the cooperation there has been strong and we continue to look forward to delivering more through that partnership. >>Casey great to see a great, great thing to hear. You know, you got scalable infrastructure, you get modern applications at the edge, all of hybrid. Great, great partnership. Casey Choi Executive Vice Corporate Executive Vice President and General Manager of Samsung Mobile B two B team. Great to see you and congratulations on your mission. It's exciting project. Thanks for coming on the cube and sharing. >>Great to see you, jOHn take care of yourself and looking forward to seeing you again. >>Okay, this is the cubes coverage. IBM think 2021. I'm john for your host of the cube. Thanks for watching.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by AWS Worldwide Public sector. >>Welcome to the Cube. Virtual. This is our coverage of aws reinvent 2020. Specialized programming for worldwide public sector. I'm Lisa Martin. Got a couple of guests here from No. Veta, please welcome Steven Adelman, principal computer scientists, and Kevin Healed, vice president of Information Exploitation. Gentlemen, welcome to the Cube. >>Thank you. >>Thank you for having us. >>Alright, guys. So? So, Kevin, we're going to start with you. Give our audience an introduction to Nevada. What do you What do you guys do? Who are you? How do you play in the public sector Government space, >>right? Yeah. Thank you, Lisa. Eso, Nevada Nevada is a technology services company focused on government solutions. So primarily national security solutions. Eso think customers such as Doody, the intelligence community, FBI, law enforcement and things like that about 13 1300 employees worldwide, primarily in our in our field. Clear resource is, um, that really focused on cloud for solutions for our customers. So solving the tough mission challenges our customers have, so that could be in technology solutions such as Data Analytics A I M L i O T. Secure Workloads, full spectrum cyber Cobb video processing. Really anything that's a high end technology solution or something we do for the government. We have been a privilege. We have. It's a privilege to be a partner with AWS for for some time now. In fact, I think the first reinvent we may have been to Stephen was six years ago. Five years ago, two >>1012 or 13 >>s So we've we've we've been around for a while, really kind of enjoying it and certainly sad that we're missing an in person reinvent this year, but looking forward to doing it virtually so, we're actually advanced your partner with AWS with a machine learning and government competency. Andi really kind of thio pump the m l side of that. That was one of our first companies with compasses with AWS and led by a center of excellence that I have in my division that really focuses on machine learning and how we applied for the Michigan. And so, um, really, we focus on protecting the nation and protecting our activities in the country >>and on behalf of the country. We thank you, Steven. Give me a little bit of information from a double click perspective as computer scientists. What are some of the key challenges that no, that helps its customers to solve. And how do you do that with a W s? >>Yeah, Thank you. So really as, ah, company, that is is data first. So our initial love and and still are kind of strongest competency is in applying solutions to large data sets. And as you can imagine, uh, the bigger the data set them or compute you need the the more resource is you need and the flexibility from those resource is is truly important, which led us very early, as especially in the government space and public sector space to be in early. A doctor of cloud resource is because of the fact that, you know, rather than standing up a 200 node cluster at at many millions of dollars, we could we could spend up a W s resource is process a big data set, and then and then get the answers an analyst or on operator needed and then spin down. Those resource is when When when that kind of compute wasn't needed. And that is really, uh, kind of informed how we do our work Azaz Nevadans that that cloud infrastructure and now pushing into the edge compute space. Still kind of keeping those cloud best practices in play to get access to more data. That the two, the two biggest, I think revolutions that we've seen with regards to using data to inform business processes and missions has been that that cloud resource that allows us to do so much with so less and so much more flexibly and then the idea of cheap compute making it to the edge and the ability to apply sensors thio places where you know it would been a would have been, you know, operational cost prohibitive to do that and then, ironically, those air to things that aren't necessarily data analytics or machine learning focused but man, did they make it easier to collect that data and process that data and then get the answers back out. So that really has has has kind of, uh, shaped a lot of the way Nevada has grown as a company and how we serve our customers. >>So coming back over to you lets. One of the things that we've been talking about almost all year is just the acceleration in digital transformation and how much faster organizations, private sector, public sector need to innovate to stay relevant, to stay competitive. How do you are you working with government customers to help them innovate so quickly? >>You know, we're very fortunate that a set of customers that focuses actually innovation it's focuses. I rad on. Do you know we can't do the cool things we do without those customer relationships that really encourage us to, um, to try new things out and, quite frankly, fail quickly when we need Thio. And so, by establishing that relationship, what we've been able to do is to blend agile development. Actual acquisition with government requirements process, right? If if you know the typical stereotype of government work is it's this very stovepiped hard core acquisition process, right? And so we have been fortunate to instead try quick win kind of projects. And so one of the biggest things we do is partner with our government customers and try to find it difficult, um, challenged to solve over 6 to 12 month time, right? So instead of making this long four or five year acquisition cycles like show me, right. How can we solve this problem? And then we partner with the mission partner show success in six months show that we can do it with a smaller part of money, and then as we're able to actually make that happen, it expands in something bigger, broader, and then we kind of bringing together a coalition of the willing, if you will in the government and saying, Okay, are there other stakeholders to care about this problem, bring them on, bring their problems and bringing together? You know, we can't do that with some of the passionate people we have, like Stevens. A perfect example. When we talk about a car in the projects we're doing here, Stevens passion for this technology partner with our customers having these challenges and try to enhance what they're doing is a powerful combination. And then the last thing that we're able to is a company is we actually spend a decent amount of our own dollar dollars on I rad S O. R and D that we fund ourselves. And so, while finding those problems and spending government dollars in doing that. We also have spent our own dollars on machine learning Coyote sensor next Gen five g and things like that and how those compartment together partner together to go back to the government. >>Yeah, yeah, So I would even say, You know, there's this. There's a conventional wisdom that government is slow in plotting and a little bit behind commercial best practices. But there are There are pockets in growing pockets across the government, Um, where they're really they're really jumping ahead of, ah, lot of processes and getting in front of this curve and actually are quite innovative. And and because they kind of started off from behind, they could jump over a lot of kind of middle ground legacy technologies. And they're really innovating. As Kevin said with With With the card platform, we're partnering with um P E O Digital in the Air Force in South C, D. M and Air Force security forces as that kind of trifecta of stakeholders who all want toe kind of saw a mission problem and wanted to move forward quickly and leave the legacy behind and and really take a quantum leap forward. And if anything, they're they're driving us Thio, Innovate Mawr Thio Introduce more of those kind of modern back practices on bond. Nevada as a company loves to find those spots in the government sector where we've got those great partners who love what we're doing. And it's this great feedback loop where, um, where we can solve hard technical problems but then see them deployed to some really important and really cool and impactful missions. And we tend to recruit that that set that kind of nexus of people who want to both solve a really difficult problem but want to see it executed in a really impactful way as well. I mean, that really grates a great bond for us, and and I'm really excited to say that that a lot of the government it is really taking a move forward in this this this realm. And I think it's it's just good for our country and good for the missions that they support. >>Absolutely. And it's also surprising because, as you both said, you know, there is this expectation that government processes or lengthy, you know, laborious, um, not able to be turned around quickly. But as Kevin, you just said, you know helping customers. Government agencies get impact within 6 to 12 months versus 4 to 5 years. So you talked about Picard? Interesting name. Kevin. Tell me a little bit more about that technology and what it is that you guys deliver. That's unique. >>Well, honestly, it's probably best to start with Stephen. I can give you the high level. This is Stevens vision. I have to give him credit for that. And I will say way have lots of fun. Acronym. So it isn't Actually, it isn't backward. Um, right. Stephen doesn't actually stand for something. >>It stands for Platform for Integrated, a C three and Responsive for defense on >>Guy. You know >>that the Star Trek theme is the leg up from the last set of programs I had, >>which were >>my little ponies. So >>Oh, wow. That's a definite stuff in a different direction. Like >>it? Part of the great thing about working in the government is you get to name things, cool things, so but t get to your question eso So Picard really sprung out of this idea that I had a few years ago that the world but for our spaces, the Department of defense and the federal government was going to see a massive influx of the desire to consume sensors from from areas of responsibility, from installations and, frankly, from battlefields. Um, but they were gonna have to do it. In a way, um, uh, that presented some real challenges that you couldn't just kind of throw compute editor, throw traditional I t processes at it. You know, we have legacy sensors that are 40 years old sitting on installations. You know, old program, a logical controllers or facilities control systems that were written in cobalt in the seventies, right in the world are not even I, p based, most of them bond. Then on the other end of the spectrum, you have seven figure sensors that air, you know, throwing out megabits of second of data that are mounted to the back of jeeps. Right, That that air bouncing through the desert today. But we'll be bouncing through the jungle tomorrow, and you have to find all of those kind of in combined all of those together, um, and kind of create a cohesive data center for data set set for you know, the mission for, um, you know what we call a user to find common operating picture for a person. Thio kind of combine all of those different resource is and make it work for them. And so we found a great partner with security forces. Um, they realized that they wanted Thio to make a quantum leap forward. They had this idea that the next defender So there are there, like a military police outfit that the next defender was going to be a data driven defender and they were gonna have to win the information war war as much as they had to kind of dominate physical space. And they immediately got what we were trying to achieve, and it was just just great synergy. And then we've piled on some other elements, and we're really moving that platform forward to to kind of take every little bit of information we can get from the areas of responsibility and get it into a you know, your modern Data Lake, where they can extract information from all that data. >>Kevin, as the VP of information exploitation, that's a very interesting title. How are you helping government organizations to win the war on information? Leverage that information to make a big impact fast. >>Yeah. I mean, I think a lot of it is is that we try to break down the barriers between systems on data so that we can actually enable that data to fuse together to find and get insights into it. You know, as ML and I have become trendy topics, you know, they're very data hungry operations. And I think what Steven has done with the card and his team is really we want to be able to make those sensors seamless from a plug and play perspective that Aiken plug in a new sensor. It's a standards based, uh, interface that sends that data back so that we can and take it back to the user to find Operation Picture and make some decisions based off of that data. Um, you know, what's more is that data could even refused with more than the data that Stevens collecting off the sensors. It could be commercial data, other government data and I think is Davis. As Stephen said earlier, you have to get it back. And as long as you've gotten back in Labour's share with some of our mission partners, then you can do amazing things with it. And, you know, Stephen, I know you have some pretty cool ideas and what we're gonna do on the edge, right? How do we do some of this work of the edge where a sensor doesn't allow us to pull out that data back? >>Yeah, and and Thio follow on to what you were kind of referring to with regards to thio handling heterogeneous data from different sensors. Um, one of the main things that our government customers and we have seen is that there are a lot of historically there are a lot of vertical solutions where you know, the sensor, the platform, and then the data Laker kind of all part of this proprietary stack. And we quickly realized that that just doesn't work. And so one of the major thrust of that card platform was to make sure that we had ah, platform by which we could consume data through adapters from essentially any sensor speaking. Any protocol with any style data object, Whether that was an industry standard or a proprietary protocol, we could quickly interested and bring it into our Data lake. And then to pile on to what Kevin was talking about with compute. Right? So you have, uh, like, almost like a mass locks hierarchy of needs when it comes to cyber data or thio this coyote data or kind of unified data, Um, you know, you wanna turn it into basic information, alerts alarms, then you want to do reporting on it, or analytics or some some higher level workflow function. And then finally, you probably want to perform some analytics or some trending or sort of anomaly detection on it. And and that gets more computational e intensive each step of the way. And so you gotta You gotta build a platform that allows you to to both take some of that high level compute down to the edge, but also then bring some of that data up into the clouds where you could do that processing, and you have to have kind of fun jubilate e between that and so that hard platform allows you to kind of bring GP use and high processing units down to the edge and and make that work. Um, but then also and then as maybe even a first passive to rule out some of the most you know, some of the boring gated in the video Analytics platform. We call it Blue Sky and Blue Ocean. Right, so you're recording lots of video. That's not that interesting. How do you filter that out? So you're only sending the information The interesting video up eso You're not wasting bandwidth on stuff that just doesn't matter on DSO. It's It's a lot of kind of tuning these knobs and having a flexible enough platform that you could bring Compute down when you need it. And you could bring data up to compute on Big Cloud while you need it, and just kind of finding a way to tune that that that really does. I mean it. You know, that's a lot of words about how you do that. But what that comes to is flexible hardware and being able to apply those dev ops and C I. C D platform characteristics to that edge hardware and having a unified platform that allows you to kind of orchestrate your applications in your services all the way up and down your stack, from micro controllers to a big cloud instant creation. >>You make it sound so easy. Steven Kevin. Let's wrap it up with you in terms of like making impacts and going forward. We know the edge has exploded, even mawr, during this very interesting year. And that's going to be something that's probably going to stay, um, stay as a permanent impact or effect. What are some of the things that we can expect in 2021 in terms of how you're able to help government organizations capitalize on that, find things faster, make impact faster? >>Yeah. I mean, I think the cool thing we're seeing is that there's a lot more commoditization of sensors. There's a lot more censored information. And so let's use lighters. Example. We you know, things were getting cheaper, and so we can all of a sudden doom or or more things at the edge, and we ever would have expected. Right when you know Steven's team is integrating camera data and fence data from 40 years ago, you know, it's just saying on off it's not do anything fancy. But now we you know, you know, Stephen, I camera whether Metro you gave him before was, but the cost of light are has dropped so significantly that we can now then deploy that we can actually roll it out there and not being locked in their proprietary, uh, system. Um, so I see that being very powerful, you know? Also, I can see where you start having sensors interact with each other, right? So one sensor finds one thing and then a good example that we've started thio experiment with. And I think Steve, you could touch on it is using triggering a sensor, triggers a drone to actually investigate what's going on and then therefore, hybrid video back and then automatically can investigate instead of having to deploy a defender to actually see what happened at that. At that end, Points dio e don't know. There's it's amore detail you can provide there. >>Yeah, No. So exactly that Kevin. So So the power of the sensor is is something something old that that gives you very uninteresting Data like a one or a zero on on or off can detect something very specific and then do something kind of high speed, like task a drone to give you a visual assessment and then run object detection or facial recognition on, you know, do object detection to find a person and do facial recognition on that person to find out if that's a patrol walking through a field or a bad guy trying Thio invade your space. Um and so it's really the confluence and the gestalt of all of these sensors in the analytics working together, Um, that really creates the power from very simple, simple delivery. I think, um, there's this, You know, this idea that you know, ah 100 bytes of data is not that important. But when you put a million sensors giving you 100 bytes of data, you can truly find something extremely powerful. And then when you kind of and you make those interactions sing, um, it's amazing. Tow us the productivity that we can produce and the kind of fidelity of response that we can give thio actors in the space whether that's a defender trying to defend the base or a maintenance person trying thio proactively replace the fan or clean the fan on an H vac system. So So you know, you know, there isn't a fire at a base or for, uh, interesting enough. One of the things that we we've been able to achieve is we've taken maintenance data for helicopter engines and And we've been able to proactively say, Hey, you need to You need to take care of this part of the helicopter engine. Um and it saves money. It saves downtimes. It keeps the birds in the air. And it's a relatively simple algorithm that we were able to achieve. And we were able to do that with the maintenance people, bring them along in this endeavor and create analytics that they understood and could trust on DSO. I think that's really the power of this base. >>Tremendous power. I wish we had more time to to dig into it. Guys, thank you so much for sharing. Not just your insights, what nobody is doing but your passion for what you're doing and how you're making such an impact. Your passion is definitely palpable. Steven. Kevin, Thank you for joining me today. >>Thank you >>for my guests. I'm Lisa Martin. You're watching the Cube? Virtual. Yeah,

>>from >>around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Everyone welcome back to the cubes Coverage of AWS reinvent 2020 virtual. This is the Cube virtual. I'm John for your host this year. We're not in person. We're doing remote interviews because of the pandemic. The whole events virtual over three weeks for this week would be having a lot of coverage in and out of what's going on with the news. All that stuff here happening on the Cube Our next guest is a featured segment. Brown Venkatesh, VP of Engineering at Cloudera. Welcome back to the Cube Cube Alumni. Last time you were on was 2018 when we had physical events. Great to see you, >>like good to be here. Thank you. >>S O. You know, Cloudera obviously modernized up with Horton works. That comedy has been for a while, always pioneering this abstraction layer originally with a dupe. Now, with data, all those right calls were made. Data is hot is a big part of reinvent. That's a big part of the theme, you know, machine learning ai ai edge edge edge data lakes on steroids, higher level services in the cloud. This is the focus of reinvents. The big conversations Give us an update on cloud eras. Data platform. What's that? What's new? >>Absolutely. You are really speaking of languages. Read with the whole, uh, data lake architecture that you alluded to. It's uploaded. This mission has always been about, you know, we want to manage how the world's data that what this means for our customers is being ableto aggregate data from lots of different sources into central places that we call data lakes on. Then apply lots of different types of passing to it to direct business value that would cdp with Florida data platform. What we have essentially done is take those same three core tenants around data legs multifunctional takes on data stewardship of management to add on a bunch off cloud native capabilities to it. So this was fundamentally I'm talking about things like disaggregated storage and compute by being able to now not only take advantage of H d efs, but also had a pretty deep, fundamental level club storage. But this is the form factor that's really, really good for our customers. Toe or to operate that from a TCO perspective, if you're going to manage hundreds of terabytes of data like like a lot of a lot of customers do it. The second key piece that we've done with CDP has to do with us embracing containers and communities in a big way on primer heritages around which machines and clusters and things of that nature. But in the cloud context, especially in the context, off managed community services like Amazon CKs, this Lexus spin apart traditional workloads, Sequels, park machine learning and so on. In the context of these Cuban exiles containerized environments which lets customers spin these up in seconds. They're supposed to, you know, tens of minutes on as they're passing, needs grow and shrink. They can actually scale much, much faster up and down to, you know, to make sure that they have the right cost effective footprint for their compute e >>go ahead third piece. >>But the turkey piece of all of this right is to say, along with like cloud native orchestration and cloud NATO storage is that we've embraced this notion of making sure that you actually have a robust data discovery story around it. so increasingly the data sets that you create on top off a platform like CDP. There themselves have value in other use cases that you want to make sure that these data sets are properly replicated. They're probably secure the public government. So you can go and analyze where the data set came from. Capabilities of security and provenance are increasingly more important to our customers. So with CDP, we have a really good story around that data stewardship aspect, which is increasingly important as you as you get into the cloud. And you have these sophisticated sharing scenarios. The >>you know, Clotaire has always had and Horton works. Both companies had strong technical chops. It's well document. Certainly the queues been toe all the events and covered both companies since the inception of 10 years ago. A big data. But now we're in cloud. Big data, fast data, little data, all data. This is what the cloud brings. So I want to get your thoughts on the number one focus of problem solving around cloud. I gotta migrate. Or do I move to the cloud immediately and be born there? Now we know the hyper scale is born in the cloud companies like the Dropbox in the world. They were born in the cloud and all the benefits and goodness came with that. But I'm gonna be pivoting. I'm a company at a co vid with a growth strategy. Lift and shift. Okay, that was It's over. Now that's the low hanging fruit that's use cases kind of done. Been there, done that. Is it migration or born in the cloud? Take us through your thoughts on what does the company do right now? >>E thinks it's a really good question. If you think off, you know where our customers are in their own data journey, right? So increasingly. You know, a few years ago, I would say it was about operating infrastructure. That's where their head was at, right? Increasingly, I think for them it's about deriving value from the data assets that they already have on. This typically means in a combining data from different sources the structure data, some restructure data, transactional data, non transactional, data event oriented data messaging data. They wanna bring all of that and analyze that to make sure that they can actually identify ways toe monetize it in ways that they had not thought about when they actually stored the data originally, right? So I think it's this drive towards increasing monetization of data assets that's driving the new use cases on the platform. Traditionally, it used to be about, you know, sequel analysts who are, if you are like a data scientist using a party's park. So it was sort of this one function that you would focus on with the data. But increasingly, we're seeing these air about, you know, these air collaborative use cases where you wanna have a little bit of sequel, a little bit of machine learning, a little bit off, you know, potentially real time streaming or even things like Apache fling that you're gonna use to actually analyze the data eso when this kind of an environment. But we see that the data that's being generated on Prem is extremely relevant to the use case, but the speed at which they want to deploy the use case. They really want to make sure that they can take advantage of the clouds, agility and infinite capacity to go do that. So it's it's really the answer is it's complicated. It's not so much about you know I'm gonna move my data platform that I used to run the old way from here to there. But it's about I got this use case and I got to stand this up in six weeks, right in the middle of the pandemic on how do I go do that on the data that has to come from my existing line of business systems. I'm not gonna move those over, but I want to make sure that I can analyze the data from their in some cohesive Does that make sense? >>Totally makes sense. And I think just to kind of bring that back for the folks watching. And I remember when CDP was launching the thes data platforms, it really was to replace the data warehouse is the old antiquated way of doing things. But it was interesting. It wasn't just about competing at that old category. It was a new category. So, yeah, you had to have some tooling some sequel, you know, to wrangle data and have some prefabricated, you know, data fenced out somewhere in some warehouse. But the value was the new use cases of data where you never know. You don't know where it's going to come until it comes right, because if you make it addressable, that was the idea of the data platform and data Lakes and then having higher level services. So s so to me. That's, I think, one distinction kind of new category coexisting and disrupting an old category data warehousing. Always bought into that. You know, there's some technical things spark Do all these elements on mechanisms underneath. That's just evolution. But income in incomes cloud on. I want to get your thoughts on this because one of the things that's coming out of all my interviews is speed, speed, speed, deploying high, high, large scale at very large speed. This is the modern application thinking okay to make that work, you gotta have the data fabric underneath. This has always been kind of the dream scenario, So it's kind of playing out. So one Do you believe in that? And to what is the relationship between Cloudera and AWS? Because I think that kind of interestingly points to this one piece. >>Absolutely. So I think that yeah, from my perspective, this is what we call the shared data experience that's central to see PP like the idea is that, you know, data that is generated by the business in one use case is relevant and valid in another use case that is central to how we see companies leveraging data or the second order monetization that they're after, Right? So I think this is where getting out off a traditional data warehouse like data side of context, being able to analyze all of the data that you have, I think is really, really important for many of our customers. For example, many of them increasingly hold what they call this like data hackathons right where they're looking at can be answered. This new question from all the data that we have that is, that is a type of use case that's really hard to enable unless you have a very cohesive, very homogeneous view off all of your data. When it comes to the cloud partners, right, Increasingly, we see that the cloud native services, especially for the core storage, compute and security services are extremely robust that they give us, you know, the scale and that's really truly unparalled in terms of how much data we can address, how quickly we can actually get access to compute on demand when we need it. And we can do all of this with, like, a very, very mature security and governance fabric that you can fit into. So we see that, you know, technologies like s three, for example, have come a long way on along the journey with Amazon on this over the last 78 years. But we both learned how to operate our work clothes. When you're running a terabytes scale, right, you really have to pay attention to matters like scale out and consistency and parallelism and all of these things. These matters significantly right? And it's taken a certain maturity curve that you have to go through to get there. The last part of that is that because the TCO is so optimized with the customer to operate this without any ops on their side, they could just start consuming data, even if it's a terabyte of data. So this means that now we have to have the smarts in the processing engines to think about things like cashing, for example very, very differently because the way you cash data that Zinn hedge defense is very different from how you would do that in the context of his three are similarly, the way you think about consistency and metadata is very, very different at that layer. But we made sure that we can abstract these differences out at the platform layer so that as an as it is an application consumer, you really get the same experience, whether you're running these analytics on clam or whether you're running them in the cloud. And that's really central to how I see this space evolving is that we want to meet the customer where they are, rather than forcing them to change the way they work because off the platform that they're simple. >>So could you take them in to explain some of the integrations with AWS and some customer examples? Because, um, you know, first of all, cost is a big concern on everyone's mind because, you know, it's still lower costs and higher value with the cloud anyway. But it could get away from you. So you know, you're constantly petabytes of scale. There's a lot of data moving around. That's one thing to integration with higher level services. Can you give where does explain how Claudia integration with Amazon? What's the relation of customer wants to know. Hey, you guys, you know, partnering, explain the partnership. And what does it mean for me? >>Absolutely. So the way we look at the partnership hit that one person and ghetto. It's really a four layer cake because the lowest layer is the core infrastructure services. We talked about storage and computing on security, and I am so on and so forth. So that layer is a very robust integration that goes back a few years. The next layer up from that has to do with increasingly, you know, as our customers use analytic experiences from Florida on, they want to combine that with data that's actually in the AWS compute experiences like the red Ship, for example. That's what the analytics layer uploaded the data warehouse offering and how that interrupts would be other services in Amazon that could be relevant. This is common file formats that open source well form it really help us in this context to make sure that they have a very strong level of interest at the analytics there. The third layer up from that has to do with consumption. Like if you're gonna bring an analyst on board. You want to make sure that all of their sequel, like analyst experiences, notebooks, things of that nature that's really strong. And club out of the third layer on the highest layer is really around. Data sharing. That's as aws new and technologies like that become more prevalent. Now. Customers want to make sure that they can have these data states that they have in the different clouds, actually in a robbery. So we provide ways for them, toe browse and search data, regardless of whether that data is on AWS or on traffic. And so that's how the fourth layer in the stack, the vertical slice running through all of these, that we have a really strong business relationship with them both on the on the on the commercial market side as well as in AWS marketplace. Right? So we can actually by having cdp be a part of it of the US marketplace. This means that if you have an enterprise agreement with with Amazon, you can actually pay for CDP toe the credit sexuality purchased. This is a very, very tight relationship that's designed again for these large scale speeds and feeds. Can the customer >>so just to get this right. So if I love the four layer cake icings the success of CDP love that birthday candles can be on top to when you're successful. But you're saying that you're going to mark with Amazon two ways marketplace listing and then also jointly with their enterprise field programs. That right? You say because they have this program you can bundle into the blanket pos or Pio processes That right can explain that again. >>S so if you think this'll states, if you're talking about are significant. So we want to make sure that, you know, we're really aligned with them in terms off our cloud migration strategy in terms of how the customer actually execute to what is a fairly you know, it's a complex deployment to deploy a large multiple functions did and existed takes time, right, So we're gonna make sure that we navigate this together jointly with the U. S. To make sure that from a best practices standpoint, for example, were very well aligned from a cost standpoint, you know what we're telling the customer architecturally is very rather nine. That's that's where I think really the heart of the engineering relationship between the two companies without. >>So if you want Cloudera on Amazon, you just go in. You can click to buy. Or if you got to deal with Amazon in terms of global marketplace deal, which they have been rolling out, I could buy there too, Right? All right, well, run. Thanks for the update and insight. Um, love the four layer cake love gets. See the modernization of the data platform from Cloudera. And congratulations on all the hard work you guys been doing with AWS. >>Thank you so much. Appreciate. >>Okay, good to see you. Okay, I'm John for your hearing. The Cube for Cube virtual for eight of us. Reinvent 2020 virtual. Thanks for watching.

>>Sony. Betty is here with me. He's the CEO and chief data officer for Snowflake. Sunny. Thanks for making the time today. Good to see >>you. Same here, Dave. Thanks for having me or >>yeah, so you're welcome. So before we get into it, I gotta ask you I mean, you recently left in video to join Snowflake. I mean, one of the few cos they're almost is hot. A snowflake. How come? Well, you know, >>Dave, I joined and video 12 years ago. I was there for 12 years when the video was less than 2000 people company and in video, you know, have an unbelievable growth trajectory. We went from 2000 employees to 16,000 when I left in, uh, December of 2019 and slowly kind of provided the same opportunity to come in Onda help scale the company. I thrive in an environment where I can be creative. I thrive in an environment where I can build things I can scale things. I could grow things, and it's been just a perfect opportunity to come and repeat that success over here. >>Awesome. Well, we wish you the best talking about your role. A little bit. I mean, it's not totally unique. I mean, especially in certain smaller organizations that have the same person in the role of chief information officer and chief data officer. But oh, which are you? Are you more CEO CEO? How do you balance that >>out? I would say that I'm both to be an effective CEO. You need immersion with automation. You need immersion with data. You need a motion with security. And you also need emotion with compliance. So if all these things are together, things that integrated, you have a cohesive way of handling all the pieces that come together. We believe if you keep them separated, you create silos and we definitely don't want silos. We want integration. We want seamless integration to drive and scale the company for future. I always felt nighttime is balanced between both areas. I >>mean, I always felt like a lot of the CEO, so I talked to They'd love to get more involved in the data, but they're just too busy trying to keep the lights on, you know, kind of. So maybe what are your thoughts on the priorities of each Hat CEO and CTO? >>Yeah. So look I mean, I think because we're full cloud company, we don't have anything on Prem. I don't have any work clothes in the on Prem. I don't We don't have a data center. I really don't have to worry about all the operational challenges that you have to deal with being a non prime company. So the cycles that I can be involved from a transformational perspective, trans driving transformation for the company, both on the data side as well as on the i d I t side I have I have that cycles to be to invest that time and energy into both areas. Uh, typically in a traditional company which is not yet migrated towards the cloud. A major portion of the abandoned gets wasted CEOs, bandwidth and I t professionals. Bandwidth gets wasted in dealing with the operational challenges that you have in an on prem environment. So having not to worry about that over here gives me all the cycles to be investing my time in both areas. >>Yeah, a lot of wasted I t labor over the decades. Let me ask you, how is running a data company? You know you're inside of a fast moving Silicon Valley Tech company. One of the similarities and the differences from some of the customers. I mean, on the one hand, you're moving faster than your customers, at least most of them. And you don't have the technical day. You just describe See XO Nirvana. On the other hand, you're an example of what's possible. You could sort of set the best practice. Mark, How do you see that dynamic >>eso? You know, for a world class I T organization, it needs to be data driven. It needs to be highly automated. It needs to enable world class user experience on then to secure and make the environment compliant, resilient. The cloud platform that we have inside snowflake allows us to achieve all of that. Now, that is, um, you know, an ideal situation to be in, but you don't have to deal with, you know, all the on time type of work clothes. Um, so finding that balance is what we're going after. And however this is a This is a journey right for other companies who are not on the cloud. It's a journey. They have to prioritize that they have to start moving things to the cloud and that's where we are Different and similar, right? Were different that we don't have to worry about that. Everything is in the cloud for us on then. Uh, that's kind of where we are, How we see it. >>So, you know, used to call the dog Fuding segment. But Oliver Bushman was the sea was the CEO of s a piece. I don't know, Dave. We call it drinking your own champagne, which is how you guys refer to it. But, you know, sometimes still in such situations, you're inside the sausage factory, which is, you know, good in a way, because you see it before it goes into production. But so what's your journey with with snowflake been like, Yeah, >>so that's a really good question. That's a major portion of what I do at work and the let's start with the first principles. We believe that we want to measure everything in the company that's important for companies performance. If we measure the right things, we believe we can drive. The best outcomes were driven through those first principles, and we leverage our business applications, our data, our security, our automation and our compliance to integrate our with our product to power. All these use cases and workloads, uh, in our own environment, we call that Snow house, which is nothing but a snowflake Instance. So, um, for all the new products that we are coming into market with, we work very closely with the engineering team with the product management team to make sure that we actually become customer zero and try Thio. Use as much functionality of that inside the our own enterprise and give as much feedback to our engineering and product management team so that they can make the customer one experience to be world class. Eso. That's kind of in a nutshell. What we how we go to market with all those products. So >>your customer zero So all the products that they suck up to you Are they afraid of you? >>I think I think it's I think it's a very mutual beneficial relationship. So, you know, they know that they that my feed, my team's feedback is important to how they're kind of shaping up the product. And it's just not necessarily I t right. We have folks in finance, folks and, um, sales, marketing. Everybody is you know, drinking the champagne. Right. And icty and the data team actually enable that deployment. But the use cases are pretty much in the entire enterprise off the company in every in every aspect of it. >>Well, you know, including security. Well, you know, there's I was saying we always talk about alignment, but its's almost alignment by design as opposed to being this force thing. I'm interested in this, you know, sort of snowflake on on snowflake, You know, concept that that you guys talk about. You know what? We're objectives you're going in and maybe thinking about the outcomes, you know? What did you expect? Did you work backwards from that? You know, what were you trying >>to achieve? Yeah. I mean, look the again, back to the first principles. We believe we want to measure everything that's important to our business. That would drive the outright outcomes. We then later the application layer. We then overlay the business process layer. We then overlay the, um, compliance and security layer and and the end result really is operational izing snowflake internally to drive a business making the right choices, right? Decisions for the company. Yeah. So we have a ton of use cases that are just ideal. Um, using snowflake on Snowflake. Um, you know, I can give you some examples of that if you like, But Security being one of the biggest use cases way use the the entire monitoring and remediation work that goes in the security compliance world all through snowflake. And we're finding real time events through data sharing with our key suppliers. And we're ensuring that we're protecting our environment as much as possible with that whole infrastructure. >>If you talk about layering, you know, governance, security, it's etcetera. Yeah, I'm imagining a you know, a coat of primer paint, you know, nice and smooth over. It's not a bolt on. I want you. I wanna press you on that because because it can't be an afterthought. And what you're describing is much more of a modern approach. And I want you to sort of differentiate between the layers that you talked about and what you surely seen in your experience over the years is a bolt on. What's the difference? >>Well, I mean, you know, security. Well, there's a lot of data and a lot of the data that is critical to your environment. Um, you wanna make sure it's fully complete? You're getting it in the right hands in the right platform to understand that and doing the correlation work that needs to happen. Really time. Our platform allows all that data to be ingested and, you know, real time and anything that is suspicious. That's being out there. We're finding that stuff in real time. The monitoring has to be real time. And if there is an event, somebody needs to take an action. Real time. Eso the platform allows it to integrate all together. And basically, um, the suppliers that we're using are also doing data sharing with us on this platform. So it makes the whole security remediation to be really, really fantastic experience. >>Well, I think two I share often with my audiences. When I talked to practitioners, they're using stuff like they surprising to me. When I first heard this, they said, Well, what you chose snowflake is the security. I went What? But the simplicity and the workflow is simpler, and it just means, you know, less human labor involved in setting, setting these things up. So I wonder if you could talk about the team that you put together the culture that you're you're building And you know what? What's the makeup look like? >>Sure s o e specifically asking about the characteristics off how we're building up the culture. Yeah, absolutely. Okay, So I think they're looking for, you know, obviously very much high energy folks. People who have hi accountability, their data driven. We want to measure everything that's important to us. We're looking for folks who have situational awareness on then finally, high sense of urgency. I think all of these elements, uh, allows I t organization to be integrated with the business in law of the traditional companies. I T organizations kind of disintegrate with the business. We wanna integrate with the business to drive the best outcomes that are needed for the company. >>I want to ask you about some of your favorite use cases, but you mentioned measurement. How do you measure? What do you What do you measuring? >>Uh, sure. So I would say that Let's let's just take security because we talked about security. Let's just use security as a use case. Eso insecurity. There are many different frameworks. As you may know, right, there is the nest framework. There is a C s framework. Um, there's a I S O framework we have adopted towards a CS framework inside Snowflake. Ah, that framework has 20 controls. And that 20 controls has, you know, another 20 sub controls. So we're talking about 400 controls? Potentially. Um, not every control is applicable to us, but majority of them are. And so, for every control, that is a source of data that's being ingested in snowflake or give you an example of that is asset management. So asset management for endpoints asset management for our servers or asset management for our network gear, all of that data gets ingested inside. Snowflake. We measure that we can tell you exactly how many endpoints I have. I can tell you exactly when an employee gets on boarded. What the what laptop we have given them. What is Ah, um you know, when the employee leaves the company are recollecting that laptop back on time. Are we revoking all that access? That's part of CS Control. One as an example. And we're measuring all of that and I can tell you exactly at my real time, inside Snowflake, How effective I am for that specific control. That's just an example of that day. Now imagine 400 of these items that make up the whole security CS framework that you know, you want to measure everything on that 400 controls or 400 sub controls. And you want to make sure that if any of that control is not being managed properly, you're alerted about it and you're remediating it to prevent a security issue that might that may pop up >>awesome visibility and the automation component are you Are you the sea? So to sunny? I >>don't really have that title. We don't really have a CSO title, but I do better security. Hadas. Well, it's actually a joint responsibility between I managed the corporate security. The product security is inside the product team, but we use the same common framework. We use the same common telemetry. We use the same common, um um methodology. Uh, incident management response teams are very similar. Andi, it's all power to snowflake. >>Okay? And thank you for watching. Keep it right there. We've got mortgage rate content coming your way

>>from around the globe. It's the Q with digital coverage of AWS Public sector online brought to you by Amazon Web services. Welcome back to the cubes. Virtual coverage of AWS Amazon Web services published. Public Sector Summit Online I'm John for your host with a great Gas Cube alumni Kate Goodall, Healthy in co founder and CEO, also known as the Halsey in house in the D C area. Kate, great to see you. Thanks for coming on. Virtually >>you, too. Thanks for having me, John. >>We can't be there in person. Normally, we're in person by rain going to these events. We can't do it this year because of Cove in the Pandemic. But this topic that I'm proud to talk to you about is Bahrain Women intensive program and just diversity in the global tech scene in general. So first tell us what's going on with the 2021 by Rain. Women's initiative Intensive initiative. >>Yeah, absolutely. As you know, Housing Incubator has been running for about seven years now. We've welcomed during that time over 150 entrepreneurs through a full time fellowship program which you were there, John, you saw, you know It is a really unique program that includes residents in a ah house in Georgetown s O that people really get to sort of former community. But the full time residential program isn't the right fit preneurs. So we also offer these intensive housing incubator programs for early stage social entrepreneurs from different parts of the world in different industries and sectors. Um, a W s been an amazing partner both for the full time fellowship program on for many of these intensive, including one that was focused earlier this year on entrepreneurs, an opportunity zones in our very own city. Um, but this new intensive partnership is designed specifically to support tech oriented social enterprise startups that are founded by women and based in Bahrain s. So it's It's really nicely at this intersection of calcium goal off supporting entrepreneurs who are often underserved or underrepresented. And AWS is very clearly stated goal of diversifying leadership in tech. >>I was there last year in person Bahrain, and, uh, I went to the women's diversity um, breakfast and I'm like, This is exciting and I had to give up my seat. There was so many people, there was high demand eso I >>wanna >>ask you what >>is >>this program hoping to achieve the intensive initiative? >>Yeah. I mean, there's certain things that we're always seeking to achieve in supporting and serving sort of the brightest minds and the best ideas in social enterprise. On in many ways, this one is no different. Um, but we're really looking Thio Thio, find some incredible startups in Bahrain. Um, applications for the program start today. Andi will be measuring. You know, the success of the program on a number of factors, Aziz, we always do. You know, ultimately, it's the number of jobs that get created theme the quality and quantity of the impact of the startups Onda And ultimately, you know, revenue and dollars raised all of the things that you would measure a successful business by, um uh, s so we're just really excited to find some incredible ventures that fit really well in this in the selection criteria. Andi, we'll be looking thio. Everyone's help spread the word about this great opportunity. >>Congratulations on your new program. I wanna ask you specifically, if you could give some examples of the kinds of startups you're hoping to attract, so as you look at the candidates. What's gonna be the criteria you mentioned is a criteria What jumps off the page in your mind. >>Yeah. So we want people that really understand that. Why, you know, why are they starting that business on bond? Ideally, people that have a really good idea for a rapidly scaling tech startup that also has a double bottom line attached to it. So something whereby the business models succeeds and scales and achieves eso to with the impact that is inherent in that in that model, you know, some some examples from just passed cohorts at healthy. And, you know, we've had most recently, um, incredible entrepreneur that came out off the US prison system and was really interested in reducing recidivism and worked on a tech startup that allows families to communicate with incarcerated loved ones where through a tech platform where you can convert your text to a loved one into a postcard that then could be sent into the system because obviously people aren't allowed to communicate through cell phones when they're incarcerated s Oh, that's a good example of something where you know the profit and impact really scale themselves. Um, you know, similarly from just this. You know, recent cohorts, we had a, uh, founder who herself suffered from pulmonary pulmonary hypertension. And she created a really great wearable device that can attach to your ear. Looks just like an earring. It's quite fashionable, actually. I want one. And, um, it lets you know how your oxygen level is because she just didn't have access to something that was that easy and wearable, but needed to monitor her oxygen level. Turns out, that's actually really, ah, useful piece of technology during covert. So, you know, we're looking for people that are thinking about healthcare, thinking about the environment, thinking about education on decree, ating a sustainable business model that that will help them to scale that idea. >>I wanna get into the whole social entrepreneurship conversation. It's really great when I wanna unpack that, But let's stay on this program. Um, it's super exciting. How do people get involved? It's open, but there's some criteria. Um, you mentioned startups. You're looking for changing world double Bottom line. How do people get involved? >>Really excited. You asked that because I you know, I have some people that are watching can help us um certainly, uh, going to the home page of our website housing house dot or GTA. If anyone knows any great social entrepreneurs in Bahrain, please let them know and help us spread the word. Really happy to be working with AWS and startup Borane to do so. But we we want to, you know, make it as far and wide as possible. So both for people that are interested in applying to the program and also people that are interested in helping because we always pull together a vast network of mentors and advisors and investors to really make the programmers robustas possible, they should I would encourage everyone to reach out and get in touch either through the website or, uh at housing inspires on Social Media said that our team can get back to you >>for the question is how, um What? How will the selection process work and when will they be >>partnering with AWS and start up by rain? Thio select the best start up ventures. They'll be notified in December on by The program will begin virtually in January. >>And what are the winners get? They get money. Do they get mentoring? What can you talk >>about package, so every in computer program is a little bit different. But generally they all get, uh, some serious training and assigned mentor a specific skill. Siri's that's bespoke to that intensive, and those founders needs. But more than likely, this one will include, as as they all do, you know ways to plan Thio, acquire customers ways to improve your business model and make good projections ways to think about investment and how to understand. Um, investment bond, get investment should you need thio eso. It'll have all of that along with marketing and branding and how to measure impact. But then also some bespoke things. You know, once we know exactly what the founders needs are on but then very bespoke advisors and mentors in accordance with those needs >>and really nurturing that start up in that project to getting some traction, then hopefully track into some funding vehicles. I imagine right? >>Absolutely, absolutely, and access to D. C. S. You know, great landscape when it comes to this kind of thing, both in terms of sort of three institutions that air here and the investment that is here on do all of them will also, of course, receive a ws cloud computing credits and technical support, which we found to be profoundly helpful for all of our, um, tech startups or tech enabled startups. >>Yeah, I think that's one of the things that people don't realize that some free credits out there as well take advantage of those That's awesome. And I love how this ecosystem nurturing here. When I was in Bahrain, I noticed that very young demographics changing demographics. Diversity is huge. But like here in North America and all around the world, the lack of diversity in the tech sector has been a big conversation is always happening. Thes, impact driven businesses actually consult two things you're doing. A program that impacts the diversity as well as solves the problem for diversity. Talking about double Bottom line. Can you talk about this diversity? >>Yeah, absolutely. I mean, e think you know, it's interesting because we all know that diverse teams out perform. We all understand the imperative to do that, but you're right, it's it's not just a US problem or Bahrain problem. It's a global problem, you know. And I think one of the ways to solve it is to go early because we know that women founders and founders of color and other marginalized founders, you know, start businesses roughly at the same rate. But they generally don't grow as big, and they don't, um, uh often get us much investment. In fact, the investment numbers are quite stark. In terms of who receives venture capital eso. We know that there's a lot left to disrupt, but we also know that if we're going to solve the problems that we all face right now that we need the whole population involved in solving it. So we're really interested in in in creating a much better ecosystem everywhere for for women. Founders on DWI know that that requires the support of everyone, regardless of gender and background and lived experience. Eso it is it is an imperative. But it's also a tremendous opportunity, you know, to get more people involved on Bahrain's got some incredible women and some great, uh, resource is and pieces of the ecosystem already in place. Thio, I think really be a leader in this area. >>Yes. Start up our rain to you mentioned that they have a great program. They're they're really there to help the entrepreneur, and I think the key here and I want to get your reaction to this is that not only is that important to get off the ground and having someone to be around and being a community that fosters the kind of innovation, thinking and getting started, great. But you've had a very successful program. The Halsey in house housing house dot org's as you mentioned, the u R L. You've had success, but you've been physically in D. C. What have you learned from the house? Your house success that you're applying that could be applied for others? Toe learn. >>Yeah, there's there's a lot to unpack there. I mean, we've had a Zai mentioned about 150 you know, Fellows come through our doors and they've gone on to create over 1800 jobs around the world. Received $150 million in funding, which for early stage social social ventures is a really good mark of success. Andi have gone on to impact the lives of more than 2.5 million people around the world, so I hope that this program is that you know will be able to help empower these founders, um, in Bahrain to do exactly those things and to be able to scale the adventures to create that impact. You know, we've learned a lot about you know what these startups need. Um, you know, that goes beyond just sort of the the office space and sort of traditional incubator offerings that they need a really strong community around them to celebrate their successes and also to help them with their lows. Entrepreneurship is a very rocky journey, and so that community becomes really, really important. Eso we know a lot about building, you know, supportive, nurturing community. We also know that you know, women when they go to get investment, are going to receive 70% mawr prevention questions. And this is even from women venture capitalists, right? They just venture capitalists are creatures of habit, and they generally will just look at the patterns, successes and trends that they've had and repeat those. So they're going to be looking for the same types of people. Are they funded in the past, which are traditionally young white males and eso? We know that just by virtue of the system that we all live in on DWhite. It's implanted in all of us that women are going to receive more questions about the risk of their business many, many more than they will about the opportunity. So how do we train women for that landscape? You know, how do we train them to answer the questions about the risk realistically and fairly but pivot so that they get the same opportunities as a male entrepreneur, perhaps to answer questions about the ceiling as well as the floor. >>Yeah, and addresses trade up and understand the criteria and having that confidence. And I think that the great news is that we're all changing and we're all open to it. And there's more funds now like this and your >>leadership. E love that point, John. I think, you know, I think that everyone's eyes are open right, and I can say that sort of it with a really strong sense of conviction. That, like 2020 is is a great year for acknowledging this problem and for I think a lot of joint motivation to really properly address it. So I'm actually feeling really optimistic about it, >>and we're at a cultural crossroads. Everyone kind of knows that you're seeing it play out on the big stage of the world on again. Your leadership has been doing this, and I want to get your thoughts on this because you mentioned entrepreneurship, the ups and downs. Some call it a rollercoaster highs and lows. You have great days, and you have really, really bad days. And it's even compounded when you're not in the pattern matching world of what people are seeing. If you're a woman or under verse, a minority or group, I gotta ask you the question around mental health because one of the things, especially with co vid, is having that community. Because the ups and downs swings are important that people maintain their confidence, and mentors and community add value there. Can you talk about that important piece of the equation because it's it plays a big role, often not talked about much? Um, it is tough now more than ever than ever before, but still not enough. This community there, it's >>having support. We can, you know, we talk about it a lot of healthy and what people need to prioritize their mental health as they grow a business. And ultimately, if you're not doing a good job of that. Your business will not succeed because your team would be healthy and you're just it compounds. Um, so it's really imperative. And it does take a toll on founders on entrepreneurs, I think in in higher degrees. And it does in the general population because a small crack can become a chasm if people are not careful. Andi, everyone knows even if you're super passionate about something, putting in 20 hours a day, every day continuously is eventually going to catch up with you, right? So you have to create healthy habits from the beginning for you and your team on board. And certainly during covert we've seen some of those things exacerbated due to isolation. So that community peace becomes really, really important. I don't think she would mind me saying so. I'm going Thio mention that one of our previous entrepreneurs and Yang brilliant, brilliant woman actually did a great piece. Uh, you can just google and Yang entrepreneur depression, mental health and and it will come up for you, but just a really candid expose on what it is like. Thio be an entrepreneur that perhaps struggles with with mental health >>Yeah, it's super important. And I gotta say, I really love your work. I've always been an admirer of the Halsey in Mission and the people behind it, the halcyon house. And now you're taking it to buy rain under with an intensive kind of program. It's a global landscape. Final word, Kate. What should people know about this program? Summarize it real quick. >>We're just super happy to be reaching out and supporting a greater number off talented founders from the Middle East with Although Bahrain on our partners started, Borane and AWS have to offer. You know, we we love to expand our work to serve more and more entrepreneurs. And we couldn't be more excited to support these women. >>We're an upward better time now than ever. It's gonna be a big change happening. Big cultural change. Your part of it. Thank you for joining me. >>Thank you, John. >>Great to see you >>really appreciate it. >>Thank you. I'm John for your here. The cube. Virtual covering A W s public sector online. Thanks for watching

>>welcome to the session. Long live swarm with containers and kubernetes everywhere we have this increasing cloud complexity at the same time that we're facing economic uncertainty and, of course, to navigate this. For most companies, it's a matter of focusing on speed and on shipping and iterating their code faster. Now. For many, Marantz is customers. That means using docker swarm rather than kubernetes to handle container orchestration. We really believe that the best way to increase your speed to production is choice, simplicity and security. So we wanted to bring you a couple of experts to talk about the state of swarm and Docker enterprise and how you can make best use of both of you. So let's get to it. Well, good afternoon or good morning, depending on where you are on and welcome to today's session. Long live swarm. I am Nick Chase. I'm head of content here at Mantis and I would like to introduce you to our two Panelists today eight of Manzini. Why don't you introduce yourself? >>I am a van CNI. I'm a solutions architect here at Moran Tous on work primarily with Docker Enterprise System. I have a long history of working with support team. Um, at what used to be Ah Docker Enterprise, part of Docker Inc. >>Yeah, Okay. Great. And Don Power. >>I, um Yeah, I'm Don Power on the docker. Captain Docker, community leader. Right now I run our Dev Ops team for Citizens Bank out of Nashville, Tennessee, and happy to be here. >>All right, Excellent. So All right, so thank you both for coming. Now, before we say anything else, I want to go ahead and kind of name the elephant in the room. There's been a lot of talk about the >>future. Yeah, that's right. Um, swarm as it stands right now, um, we have, ah, very vested interest in keeping our customers on who want to continue using swarm, functional and keeping swarm a viable alternative or complement to kubernetes. However you see the orchestration war playing out as it were. >>Okay? It's hardly a war at this point, but they do work together, and so that's >>absolutely Yeah, I I definitely consider them more of like, complimentary services, um, using the right tool for the job. Sort of sense. They both have different design goals when they were originally created and set out so I definitely don't see it as a completely one or the other kind of decision and that they could both be used in the same environment and similar clusters to run whatever workload that you have. >>Excellent. And we'll get into the details of all that as we go along. So that's terrific. So I have not really been involved in in the sort of swarm area. So set the stage for us where we kind of start out with all of this. Don I know that you were involved and so guys said, set the stage for us. >>Sure, Um I mean so I've been a heavy user of swarm in my past few roles. Professionally, we've been running containers in production with Swarm for coming up on about four years. Now, Um, in our case, we you know, we looked at what was available at the time, and of course you had. Kubernetes is your biggest contender out there, but like I just mentioned, the one of the things that really led us to swarm is it's design goals were very different than kubernetes. So Kubernetes tries to have an answer for absolutely every scenario where swarm tries to have an answer for, like, the 80% of problems or challenges will say that you might come across 80% of the workloads. Um, I had a better way of saying that, but I think I got my point across >>E Yeah, I think I think you hit the nail on the head. Um, Kubernetes in particular with the way that kubernetes itself is an a P I I believe that kubernetes was, um, you know, written as a toolkit. It wasn't really intended to be used by end users directly. It was really a way to build platforms that run containers. And because it's this really, really extensible ap I you can extend it to manage all sorts of resource is swarm doesn't have that X sensibility aspect, but what it was designed to do, it does very, very well and very easily in a very, very simple sort of way. Um, it's highly opinionated about the way that you should use the product, but it works very effectively. It's very easy to use. It's very low. Um, not low effort, but low. Ah, low barrier to entry. >>Yes. Yes. Absolutely. I was gonna touch on the same thing. It's very easy for someone to come in. Pick up swarm. You know they don't They don't have to know anything about the orchestrator on day one. Most people that are getting into this space are very familiar with Docker. Compose um, and entering from Docker compose into swarm is changing one command that you would run on the command line. >>Yeah, very, very trivial to if you are already used to building docker files using composed, organize your deployment into stacks of related components. It's trivial to turn on swarm mode and then deploy your container set to a cluster. >>Well, excellent. So answer this question for me. Is the swarm of today the same as the swarm of, you know, the original swarm. So, like when swim first started is that the same is what we have now >>it's kind of ah, complicated story with the storm project because it's changed names and forms a few times. Originally in is really somewhere around 2014 in the first version, and it was a component that you really had to configure and set up separately from Docker Ah, the way that it was structured. Ah, you would just have docker installed on a number of servers are machines in your cluster. And then you would organize them into a swarm by bringing your own database and some of the tooling to get those nodes talking to each other and to organize your containers across all of your docker engines. Ah, few years later, the swarm project was retooled and baked into the docker engine. And, um, this is where we sort of get the name change from. So originally it was a feature that we called swarm. Ah. Then the Swarm Kit project was released on Get Hub and baked directly into the engine, where they renamed it as swarm mode. Because now it is a motile option that you just turn on as a button in the docker engine and because it's already there the, um, the tuning knobs that you haven't swarm kit with regard to how what my time outs are and some of these other sort of performance settings there locked there, they're there. It's part of the opinionated set of components that builds up the docker engine is that we bring in the Swarm Kit project with a certain set of defaults and settings. And that is how it operates in today's version of Docker engine. >>Uh, okay for that, that makes sense. That makes sense. So ah, so don, I know you have pretty strong feelings about this topic, but it is swarm still viable in a world that's sort of increasingly dominated by Kubernetes. >>Absolutely. And you were right. I'm very passionate about this topic where I work. We're we're doing almost all of our production work lives on swarm we only have out of Ah, we've got something like 600 different services between three and 4000 containers. At any given point in time. Out of all of those projects, all of those services we've only run into two or three that don't kind of fit into the opinionated model of swarm. So we are running those on KUBERNETES in the same cluster using Moranis is Docker enterprise offering. But, um, no, that's a very, very small percentage of services that we didn't have an answer for in swarm with one. The one case that really gets us just about every time is scaling state full services. But you're gonna have very few staple services in most environments for things like micro service architecture, which is predominantly what we build out. Swarm is perfect. It's simple. It's easy to use you, don't you? Don't end up going for miles of yamma files trying to figure out the one setting that you didn't get exactly right? Um yeah, the other Thea the other big piece of it that way really led us to adopting it so heavily in the beginning is, you know, the overlay network. So your networks don't have to span the whole cluster like they do with kubernetes. So we could we could set up a network isolation between service A and service B, just by use using the built in overlay networks. That was a huge component that, like I said, let us Teoh adopting it so heavily when we first got started. >>Excellent. You look like you're about to say something in a >>Yeah, I think that speaks to the design goals for each piece of software. On the way that I've heard this described before is with regard to the networking piece the ah, the docker networking under the hood, um, feels like it was written by a network engineer. The way that the docker engine overlay networks communicate uses ah, VX lan under the hood, which creates pseudo V lands for your containers. And if two containers aren't on the same Dylan, there's no way they can communicate with each other as opposed to the design of kubernetes networking, which is really left to the C and I implementation but still has the design philosophy of one big, flat sub net where every I p could reach every other i p and you control what is allowed to access, what by policy. So it's more of an application focused Ah design. Whereas in Docker swarm on the overlay networking side, it's really of a network engineering sort of focus. Right? >>Okay, got it. Well, so now how does all this fit in with Docker enterprise now? So I understand there's been some changes on how swarm is handled within Docker Enterprise. Coming with this new release, >>Docker s O swarm Inside Docker Enterprise is represented as both the swarm classic legacy system that we shift way back in 2014 on and then also the swarm mode that is curly used in the docker engine. Um, the Swarm Classic back end gives us legacy support for being able to run unmanaged plane containers onto a cluster. If you were to take Docker ce right now, you would find that you wouldn't be able to just do a very basic docker run against a whole cluster of machines. You can create services using the swarms services, a p I but, um, that that legacy plane container support is something that you have to set up external swarm in order to provide. So right now, the architecture of Docker Enterprise UCP is based on some of that legacy code from about five or six years ago. Okay. Ah, that gives us ability to deploy plane containers for use cases that require it as well as swarm services for those kinds of workloads that might be better served by the built in load balancing and h A and scaling features that swarm provides. >>Okay, so now I know that at one point kubernetes was deployed within Docker Enterprise as you create a swarm cluster and then deploy kubernetes on top of swarm. >>Correct? That is how the current architecture works. >>Okay. All right. And then, um what is what is where we're going with this like, Are we supposed to? Are we going to running Swarm on top of kubernetes? What's >>the the design goals for the future of swarm within branches? Stocker Enterprise are that we will start the employing Ah, like kubernetes cluster features as the base and a swarm kit on top of kubernetes. So it is like you mentioned just a reversal of the roles. I think we're finding that, um, the ability to extend kubernetes a p I to manage resource is is valuable at an infrastructure and platform level in a way that we can't do with swarm. We still want to be able to run swarm workloads. So we're going to keep the swarm kit code the swarm kit orchestration features to run swarm services as a part of the platform to keep the >>got it. Okay, so, uh, if I'm a developer and I want to run swarm, but my company's running kubernetes what? What are my one of my options there? Well, I think >>eight touched on it pretty well already where you know, it depends on your design goals, and you know, one of the other things that's come up a few times is Thea. The level of entry for for swarm is much, much simpler than kubernetes. So I mean, it's it's kind of hard to introduce anything new. So I mean, a company, a company that's got most of their stuff in kubernetes and production is gonna have a hard time maybe looking at a swarm. I mean, this is gonna be, you know, higher, higher up, not the boots on the ground. But, um, you know, the the upper management, that's at some point, you have to pay for all their support, all of it. What we did in our approach. Because there was one team already using kubernetes. We went ahead and stood up a small cluster ah, small swarm cluster and taught the developers how to use it and how to deploy code to it. And they loved it. They thought it was super simple. A time went on, the other teams took notice and saw how fast these guys were getting getting code deployed, getting services up, getting things usable, and they would look over at what the innovation team was doing and say, Hey, I I want to do that to, uh, you know, so there's there's a bunch of different approaches. That's the approach we took and it worked out very well. It looks like you wanted to say something too. >>Yeah, I think that if you if you're if you're having to make this kind of decision, there isn't There isn't a wrong choice. Ah, it's never a swarm of its role and your organization, right? Right. If you're if you're an individual and you're using docker on your workstation on your laptop but your organization wants to standardize on kubernetes there, there are still some two rules that Mike over Ah, pose. And he's manifest if you need to deploy. Coop resource is, um if you are running Docker Enterprise Swarm kit code will still be there. And you can run swarm services as regular swarm workloads on that component. So I I don't want to I don't want people to think that they're going to be like, locked into one or the other orchestration system. Ah, there the way we want to enable developer choice so that however the developer wants to do their work, they can get it done. Um Docker desktop. Ah, ships with that kubernetes distribution bundled in it. So if you're using a Mac or Windows and that's your development, uh, system, you can run docker debt, turn on your mode and run the kubernetes bits. So you have the choices. You have the tools to deploy to either system. >>And that's one of the things that we were super excited about when they introduced Q. Burnett ease into the Docker Enterprise offering. So we were able to run both, so we didn't have to have that. I don't want to call it a battle or argument, but we didn't have to make anybody choose one or the other. We, you know, we gave them both options just by having Docker enterprise so >>excellent. So speaking of having both options, let's just say for developers who need to make a decision while should I go swarm, or should I go kubernetes when it sort of some of the things that they should think about? >>So I think that certain certain elements of, um, certain elements of containers are going to be agnostic right now. So the the the designing a docker file and building a container image, you're going to need to know that skill for either system that you choose to operate on. Ah, the swarm value. Some of the storm advantage comes in that you don't have to know anything beyond that. So you don't have to learn a whole new A p I a whole new domain specific language using Gamel to define your deployment. Um, chances are that if you've been using docker for any length of time, you probably have a whole stack of composed files that are related to things that you've worked on. And, um, again, the barrier to entry to getting those running on swarm is very low. You just turn it on docker stack, deploy, and you're good to go. So I think that if you're trying to make that choice, if you I have a use case that doesn't require you to manage new resource is if you don't need the Extensible researchers part, Ah, swarm is a great great, great viable option. >>Absolutely. Yeah, the the recommendation I've always made to people that are just getting started is start with swarm and then move into kubernetes and going through the the two of them, you're gonna figure out what fits your design principles. What fits your goals. Which one? You know which ones gonna work best for you. And there's no harm in choosing one or the other using both each one of you know, very tailor fit for very various types of use cases. And like I said, kubernetes is great at some things, but for a lot of other stuff, I still want to use swarm and vice versa. So >>on my home lab, for all my personal like services that I run in my, uh, my home network, I used storm, um, for things that I might deploy onto, you know, a bit this environment, a lot of the ones that I'm using right now are mainly tailored for kubernetes eso. I think especially some of the tools that are out there in the open source community as well as in docker Enterprise helped to bridge that gap like there's a translator that can take your compose file, turn it into kubernetes. Yeah, Mel's, um, if if you're trying to decide, like on the business side, should we standardize on former kubernetes? I think like your what? What functionality are you looking at? Out of getting out of your system? If you need things like tight integration into a ah infrastructure vendor such as AWS Azure or VM ware that might have, like plug ins for kubernetes. You're now you're getting into that area where you're managing Resource is of the infrastructure with your orchestration. AP I with kube so things like persistent volumes can talk to your storage device and carve off chunks of storage and assign those two pods if you don't have that need or that use case. Um, you know, KUBERNETES is bringing in a lot of these features that you maybe you're just not taking advantage of. Um, similarly, if you want to take advantage of things like auto scaling to scale horizontally, let's say you have a message queue system and then a number of workers, and you want to start scaling up on your workers. When your CPU hits a certain a metric. That is something that Kubernetes has built right into it. And so, if you want that, I would probably suggest that you look at kubernetes if you don't need that, or if you want to write some of that tooling yourself. Swarm doesn't have an object built into it that will do automatic horizontal scaling based on some kind of metric. So I always consider this decision as a what features are the most I available to you and your business that you need to Yep. >>All right. Excellent. Well, and, ah, fortunately, of course, they're both available on Docker Enterprise. So aren't we lucky? All right, so I am going to wrap this up. I want to thank Don Bauer Docker captain, for coming here and spending some time with us and eight of Manzini. I would like to thank you. I know that the the, uh, circumstances are less than ideal here for your recording today, but we appreciate you joining us. Um and ah, both of you. Thank you very much. And I want to invite all of you. First of all, thank you for joining us. We know your time is valuable and I want to invite you all Teoh to take a look at Docker Enterprise. Ah, follow the link that's on your screen and we'll see you in the next session. Thank you all so much. Thank you. >>Thank you, Nick.

>>from around the globe. It's the Cube with digital coverage of out systems. Next Step 2020 Brought to you by Out Systems Hi and welcome to the Cubes coverage of out systems. Next step. I'm your host stew Minimum and happy toe. Welcome back to the program. He's relatively fresh off the keynote stage. He's also a cube alum. Eso happy to welcome paella risotto. He's the founder and CEO of Out systems. Hello, Thanks so much for joining us. And thanks for having the queue. But your event >>now it's a pleasure to glad to be here. >>So you know your keynote. You know, one of the big themes we've been talking about for quite a while in the industry, of course, is the growth and importance of developers Onda, something that I heard loud and clear from what you and your team are talking about. It's really about helping companies, you know. It's move faster, it's be more agile, and it's really X. It's banding. Uh, you know, we need mawr developers. We need them to be ableto on ramp faster. Uh, on especially here in 2020. As I said, you and I spoke earlier this year at kind of the early stages of the global pandemic. Right now we know it's, you know, we can't have people slow down even when they can't go to the office, even though a lot of developers were dispersed as it is. So if you could see, you know, give us you know it did this your high level, you know, your customers, the developer community that that you're welcoming here to the show? >>No, Absolutely. I mean, we're really excited about this event is a This has gone way beyond our wildest expectations in terms of tendency and all of that. It's bean to an absolutely fantastic e mean what what we've seen. What we've seen is a growing demand from enterprises for solutions that are extremely differentiated. Um, you can actually get software. You can get digital systems out off out of the box, but there's a new increasing number of systems like portals and the work flows and applications that you actually have to infuse with your with your business process with your intellectual property with you as a business and therefore you have to build your own software. And so the the amount of software that's being built inside organizations is increasing its zits, increasing to a point where these these enterprises are facing all sorts of issues related to to to proliferation to skill. Set the fact that they cannot hire enough developers enough architect and offset cops people. I mean, the skill sets that just staggering and they heard, because they are they want to build this software, but they have a lot of difficulties in finding the tools and the skill sets. >>Yeah, it's great to come to an event like this and hear people. They're excited about building applications. They're they're they're getting into code. Um, it's been almost too easy this year, Palo to say, Uh, there's so many challenges, you know, at home everyone's fighting over bandwidth and space. Andi, there's those challenges. So, you know, we need to be able to see kind of that, that joy into what I can win. I can build things and get things done. So, you know, how are you seeing that? You know what? What feedback are you getting? Um and you know, as we said, 2020 we all know is a challenging year. >>Yeah, it's It's been a challenging gear. But it's also, you know, it's also been a near off year off opportunities. And we see that, uh, all over are we stall based on our prospect days and our partners and our community. And in general, these things events. Adult systems have a very different vibe from your typical corporate event, because one of one of the things that Z that's unique about our systems is everyone who comes to this event have built something unique. And so and it it zvehr e gratifying. When you're talking with customers and you're talking with developers, the one thing they want to talk about is how they fixed one particular, very unique problem that they face using our systems and the exchange these war stories, about how fast they were and how quickly they managed to overcome a particular challenge. Or, uh, when they got the change request from the business, that was, we need to do this in in two hours or 24 hours, whatever horrible timeline that they get and they were able to do it. It's these stories that get exchange around the next step floor in this event, and this one has been going on exactly as we've seen. The other ones which were physical events in the past. >>S O Paulo. On the keynote stage, you talked about the fact that you've now got over 1400 customers. You've got 300 partners. Uh, you're not just some, you know, New startup out system's been around for two decades. Now, talk a little bit about, you know, your growth. Some of the innovations that air that air driving customers in increasing, you know where they're coming houses. >>No, absolutely. I mean, the major major innovations that we have been doing is we we we we have been focused a lot on addressing the need for speed. I mean, the cycles of innovation have been compressing in the past years, and every year there is Ah, there is a further compression of the cycle. And so business are coming back to developers are coming back to i. T. They are some of these business. Uh, some of these business folks departments are completely autonomous in terms of what? Of building some digital systems, and all of them have this need for speed for very high productivity. And so we've bean Ah, lot of our investment has bean first and foremost in, how can we make all these folks way more productive? And we've been doing a tremendous amount of research into the anatomy of building these these applications understanding what are the the typical, most common patterns abstracting them, making them really use using a lot of ai and machine learning to create, uh, to create a almost like a a artificial bots that can help developers move quicker and create serious applications with big architectures without making mistakes. But very, very quickly, Um, and therefore, uh, when When we we provide these things extreme speed, we make sure at the same time. And this is where a lot of our innovation also comes along is ah, is this notion of building these applications right? Which is you. You have to be fast, but not at the expense of lack of security, lack of scalability, lack of availability, non observe ability. You know all these things that are that you don't really pay attention when you just want to create a nap and put some functional requirements designed something into either a nap or workflow, whatever. But when you're scaling from 20 users toe one million users. You need to make sure that you can do that. When you're exposing a portal to the external world, you need to make sure that you're not going to be attacked by hackers. Are you going to have the now service attack or at your mobile application is completely shielded and secure and cannot be penetrated. All of these things are things that are all part that cannot be at the expense of speed. And so that's what we try to do. We try to bring together the speed increasing speed, but at same time building fast building it right and making sure that as you evolve that your application is evergreen doesn't create technical debt. So build it for the future. And we focus a lot on this reason. >>Yeah, definitely heard that team loud and clear. Looking forward to actually, I've got so g your head of products toe walk through. Some of the announcement also got your head of a I in that really fascinating stuff as, uh, you know, like emails. Do they kind of, you know, start making suggestions and, you know, it feels like the tech technology is getting better. It's not like it was a few years ago where it was like I just want to turn that off because the suggestions were slowing me down rather than speeding me up, but moved faster. Um, you know, you see what I want to get to You talked about that flexibility of change, Really. One of the big challenges you know right now is that there's always new technologies. There's new opportunity. I need to move fast. So how do I make sure that I could do something today and not be, you know, locked out of that next new thing thing or be able to make a change? So how do you make sure that you, you know, you've got an architect? We said that that's now been around for decades, but, you know, meeting the needs of developers helping to bring on new developers. Um, that you make sure that you can stay, you know, always modern, if you will. >>Now that's that's a That's a fantastic question. It's a really good point. I mean, one of the trade offs of, uh, one of the easy ways of building these these type of products or platforms is you actually your visual modeling your obstructions, Uh, the things that you build so that you increase productivity in a lot of, um in a lot of scenarios. The easiest path is towards linking whatever technology you're going toe power these applications to the way you build the modeling. Um, and one of the things that that out systems as as has always done we design our platform from day one with the perspective that we knew the underlying technology. Name it. Web stacks to kubernetes toe on premise. Virtual machines to containers serverless, uh, technologies, micro application servers. All of these things we knew they were going to dramatically change in the next years. And we've been proven right in the sense that not only take underneath technology or technology that that's used to build these applications have been changing, but they've been changing faster. And the turmoil of technologies that you can build applications is accelerating at creating a huge problem for enterprises that once a certain level of stability. But they don't also want to become whole old. And so the art systems platform allows you to build your applications at the layer where we adult systems we can replace the underlying technology without you having to rewrite the application and because of our technology, you can basically just republish or we upgrade our platforms and automatically your applications will run on the next best of breed technology that's now hot and that is providing you extra scalability, extra security, extra high availability. We take care of that and we show you how we do it because we were following those type of standards. But it's really around the architectures off of the product at the same time, Ato level of the development of the modeling and a lot of these things. We make sure that there is a certain level of stability and we keep on improving it so that we can bring developers into our community. And those sets are constantly relevant as they move from customer to customer as they move from simpler applications toe highly complex ones. All the investment that they've made on our systems gets rewarded in the next 2357 years. We have a community. We have members of argument that have been with us for more than 15 years and we want to keep it that way >>well, that That's impressive. I'm curious. You know, we've We've had this discussion, I guess. How many years ago was it that now that mark injuries and said that software is eating the world? Palo eso So many companies now you're talking about, you know, building software building that application needs to be a key thing. You know, the role of I t. Just servicing the business isn't enough. I t needs to be tightly. I'd with the business and that capability of building software, doing things fast and reacting eyes so important. So what does this kind of these waves coming together? I mean, for out systems the growth of the company. And, you know, I would have to expect that some of your your newer customers look a little bit different than the ones that have been with you for 15 years. >>You know what? It z actually interesting that the problem that we solving is is a very basic, very old problem. And so it's just that what what has changed in in the recent years is that before it was acceptable for a 19 person to go to the business and say this project is going to take three years or this new report that this change that you want to put in your application is going to take a six months or three months to go into production. And today that's an unacceptable answer. Um, and so today, with these type of platforms, like out systems, this provides it provides a tremendous, uh, pleasant life for the guys who are actually developing and delivering thes digital systems. These applications, because the relationship with the business is a much more constructive one. Instead of you saying no Oh, I want this. I want this new mobile app and, uh, and someone coming back to you. Okay, give me two million and give me 12 months or 14 months to build this this app. Now you can go back and say, OK, well, that that's going to take me one week and I have off a guy ready to build that for you. That first version and they can work together with you so that we get those requirements right, because we know that the model application is going to be it. The first version we're going to produce is not going to be the one that you want And so we want to reiterate that conversation is the holy Grail of what we always wanted in the relationship between 90 and the business and now way have it with without systems. And that's the That's the alert. Now, if you look into the tens of industries, this particular type of characteristic is this dynamic between business I t and building. These things exist in every industry, and that's why our target addressable market is so huge. And that's why we're growing so fast at this point, because it's a it's a capability that everyone wants and before it just looks magic now, before it was considered impossible. And that's why people didn't ask for >>it. Paolo talking about that, that growth in that potential? What's your commentary on? You know the skill gaps out there, You know, how do we onboard Mawr developers, You know what's what's the opportunity and the challenge that you see out there just really when you talk about the future of jobs in this space? >>Well, um, what what we've seen is that, for instance, we measured we're very scientific. Adult systems about looking had the anatomy of skills and the what are the skill sets needed to build what type of systems. And it's not all or nothing thing. A lot off. People try to sometimes simplify and say there is this notion of the professional developer on the business developer or or even the cities and developer, which is a term we don't really enjoy it out systems that much. Um, but it's this very binary separation, and what we've seen in reality is that there is, ah, continuum. A spectrum of skill sets that we can pile up. And we can create and develop tools and capabilities, for instance, in the out systems platform that allow us to take an increasingly larger number of backgrounds and people to build an increasingly larger number of more complex applications. And so it z kind of a moving target. But the potential is that the shortage of computer science grads that exist today in the world on its not Onley in the Western world is it's all over Asia Latin America places where you'd consider that you have enough talent to fulfill the demand. Demand is huge compared with that supply of developers and so being able to, for instance, happening on on the stem, Um, the science majors being able to tap on social grads like architectural, uh, architect's and normal civil architects and the, uh, social engineers and and and all of that, all of those profiles we have found that we can bring them into the out systems community, and then they have them complement the sum of their natural skills with some technical skills and being able to actually produce these systems. And so we by doing that, we multiplied by 10 the pool of available resources to our to our customers and to to the enterprises want to build software. But they're facing this issue of the skills shortened. >>Oh, Paula, we We've got a great lineup for our coverage with the Cube. I've got a couple of your customers. I mentioned some of the executives. I've got your head of developer and community on there, but want to give you the final word. You know, takeaways you want. You know that the the audience out there toe have to understand about out systems today in the strategy going forward. >>Well, I think what what I wanted to say is that we've we've proven that we've been around for some time. And the reason for this is because it takes a while to build a product that's truly comprehensive and powerful enough that you can build complex, serious applications very quickly, but that are also that do not, uh, that you don't have to be facing a wall of security, of scalability and all of that. So this is a platform that takes a long time to get right. It takes a lot of input from our from our install base. Takes a lot off. Ah, lot of learnings from all the, uh, hundreds of thousands of applications and projects we've seen. But today our customers can take that benefits and move forward very, very quickly. Andi, we're going to stay around for many years to come because it's such a pleasurable job to be able to help all of these enterprises become as innovative as they can and as fast as they can. So I'm really excited about being in this position as we have today. >>Well, Paulo, really pleasure for us toe Be part of this event. Thanks so much and definitely looking forward to talking to the rest of your your team's your customer in the ecosystem. >>Thank you too. >>Stay with us for more coverage. Jumps to minimum. And thanks. As always, for watching. Thank you.

>>from the Keep studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is a cube conversation. Hi, I'm John Furry with the Cube. We're here for a special Q conversation, housing with remote, where in studio most of the time. But on the weekends, I get an opportunity to talk to friends and experts, and he I wanted to really dig in with an awesome case study around AWS Cloud in a use case that I think is game changing for local community, especially this time of Cove. It you have local community work, local journalism suffering, but also connected this and connected experiences was gonna make. The difference is we come out of this pandemic a societal impact. But there's a real tech story here I want to dig into. We're here with Dan. True is the vice president of engineering for Chemical. Did you? They make a nap coat local be TV, which basically takes over the air television and streams it to an app in your local area, enabling access to many your TV and on demand as well. For local communities, it's a phenomenal project and its unique, somewhat misunderstood right now, but I think it's gonna be something that's going to really put Dan, thank you for coming along and chatting. Thanks >>for having me appreciate it. >>Okay, so I'm a big fan. I've been using the APP in San Francisco. I know New York's on the docket. I might be deployed. You guys have a unique infrastructure capability that's powering this new application, and this is the focus of the conversations. Q. Talk Amazon is a big part of this. Talk about your local be TV that you are protected. This platform for broadcast television has a unique hybrid cloud. Architecture. Can you tell us about that? >>Certainly. I mean, one of our challenges, as you know, is that we are local television eso unlike a lot of products on the markets, you know, like your Hulu's or other VM PV products, which primarily service sort of national feeds and things like that. Ah, we have to be able to receive, um, over the air signals in each market. Um, many channels that serve local content are still over the air, and that is why you don't see a lot of them on those types of services. They tend to get ignored and unavailable to many users. So that's part of our value. Proposition is to not only allow more people to get access to these stations, but, uh, allow the station's themselves to reach more people. So that means that we have to have a local presence in each market in order to receive those signals. Eso that's sort of forces us to have this hybrid model where we have local data centers. But then we also want to be able to effectively manage those in a central way. On. We do that in our cloud platform, which is hosted on Amazon and using Amazon service. >>Let me take take a breath. Here. You have a hybrid architecture on Amazon. So such a using a lot of the plumbing take us through what the architectures ram is on using a variety of their services. Can you unpack that? >>Yeah. So, um, obviously starts with some of the core services, like easy to s three already us, which everybody on planet uses. Um, we're also very focused on using PCs were completely containerized, which allows us to more effectively deploy our services and scale them. Um, and one of the benefits on that front that Amazon provides is that because they're container services wired into all the other services, like cloud, What metrics? Auto scaling policies. I am policies. Things like that. It means it allows us to manage those things in a much more effective way. Um, and use those services too much more effectively make those things reliable and scalable. Um, we also use a lot of their technologies, for example, for collecting metrics. So we use kinesis and red shift to collect real time metrics from all of our markets across the U. S. Uh, that allows us to do that reliably and at scale without having to manage complex each l systems like Kafka and other things. Um, as well a stored in a, uh, large data lake like red shift in Korea for analytics. And you know, things like that. Um, we also use, um, technologies like media Taylor s O, for example, one of the big features that, uh, most stations do not have access to Israel. Time targeted advertising in the broadcast space. Many ads are sold and placed weeks in advance. Um, and not personalized, obviously. You know, for that reason. Where is one of the big features we can bring to the table? Using our system and technologies like Media Taylor is we can provide real time targeted advertising, which is a huge win for these stations. >>What are some of the unique capabilities that you guys are? Offer broadcast station partners because you're basically going in and partnering with broadcast ages as well, but also your enabling new broadcasters to jump. And it's well, what are some of the unique capability that you're delivering? What is that? It's on the table there. What are you doing? This You >>well again. It allows us because we can do things centrally. You know as well as the local reception allows us to do some interesting things. Like if we have channels that, um, are allowed to broadcast even outside their market, Um, then we can easily put them in other markets and get them even more of years. That way we have the ability to even do, like hyper local or community channels, you know that are not necessarily broadcasting over the standard antennas, um, but could get us a feed from, you know, whatever. Zip code in whatever market and we can give them away toe reach viewers in the entire market and other markets, or even just in their local area. So, you know, consider the case where maybe a high school or a college you know, wants to show games or local content. Um, we provide a platform where they can now do that and reach more people, Um, using our app in our platform very, very easily. So that's another area that we want toe help Expand is not just your typical view of local of what's available in Phoenix, Um, but what's available in a particular city in that area or a local community where they want toe, um, reach their community more effectively, or even have content that might be interesting to other communities in Phoenix or one of the other markets? >>No, I think just is not going to side tension here. I talked with your partner. Jim longs to see you guys have an amazing business opportunity again. I think it's kind of misunderstood, but it's very clear to me that follows in. It has huge passion of local journalism. You see awesome efforts out there by Charlie Senate from the ground Truth project report for America. They take a journalism kind of friend few. But if you add like that, did you business model ought to This local journalism you can enable more video locally. I mean, that's really the killer app of video. And now it Koven. More than ever. I really want to know things like this. A mural with downtown Palo Alto Black lives matters. I want to know what's going on. Local summer restaurants, putting people out of sidewalks. Right now I'm limited to, like, next door or very Laghi media, whether it's the website. So again, I think this is an opportunity to that plus education. I mean Amazon educated Prince, that you can get a degree cloud computing by sitting on the couch. So, you know, this is again. This is a paradigm shift from an application standpoint, but you're providing essentially linear TV toe because in the local economy, So I just want to give you a shout out for that because I think it's super important. I think you know, people should get behind this. Eso congratulates. Okay, I'm often my little rant there. Let's get back down to some of that cloud steps. I think what super interesting to me is you guys can stand up infrastructure very quickly and what you've done here, you delivery of the benefits of Amazon of the goodness of cloud you, especially in stand up a metro region pretty quickly try it. And it pretty impressive. So I gotta ask you what? Amazon services are most important for your business. >>Um, well, like I said, I think for us it's matching the central services. So we sort of talked about, uh, managing the software, the AP eyes, um, and those kind of the glue. So, you know, for us standing up a new metro is obviously, you know, getting the data center contracts and all the other you know, >>and >>ask yourself, you have to deal with just have a footprint. But essentially, once we have that in place, we can spin up the software in the data center and have it hooked into our central service within hours. Right? And we could be starting channels >>literate >>literally within half a day. Um, so that's the rial win for us is, um, having all that central blue and the central management system and the scalability where You know, we can just add another 10 20 5100 markets. And the system is set up to scale centrally, um, where we can start collecting metrics their cloudwatch from those data centers. We're collecting logs and diagnostic information. Eso weaken the type health and everything else centrally and monitor and operate all of these things centrally in a way that is saying and not crazy. We don't need a 24 7 knock of 1000 people to do this. Um, you know, and do that in a way that, you know, we, as a relatively small company can still scale and do that in a sensible way, a cost effective way, which is obviously very important for us at our size. But at any size, um, you want to make sure if you're gonna go into 200 plus markets, that you have a really good cost model. Um and that's one of the things that where Amazon has really really helped us is allow us to do some really complex things and an efficient, scalable, reliable and cost effective way. You know, the cost for us to go into the New Metro now is so small, you know, relatively speaking. Um, but that's really allows. What allows us to do is a business of now. We just opened up New York, you know, and we're going to keep expanding on that model. So that's been a huge win for us. Is evaluating what Amazon could bring to the table versus other third parties and or building our own? You know, obviously which >>So Amazon gives you the knock, basically leverage and scale the data center you're referring to. That's pretty much just to get an origination point in the derrick. Exactly. That's right. It's not like it's a super complex data center. You can just go in making sure they got all the normal commute back of recovery in the North stuff. It's not like a heavy duty buildup. Can you explain that? >>Yeah. So one thing we do do in our data centres is because we are local. Um, we have sort of primary data centers. Ah, where we do do trance coating and origination of the video eso we receive the video locally, and then we want to transport and deliver it locally. And that way we're not sending video across the country and back trying to think so that that is sort of the hybrid part of our model. Right? So we stand that up, but then that is all managed by the central service. Right? So we essentially have another container cluster using kubernetes in this case. But that kubernetes cluster is essentially told what to do by everything that's running in Amazon. So we essentially stand up the kubernetes cluster, we wire it up to the Central Service, and then from then on, it just we just go into the Central Service and say, Stand up these channels. Um and it all pops up >>with my final question on the Amazon pieces is really about future capabilities Besides having a cube channel, which I would love to head on there. And I told my guys, We'll get there. But what is this too busy working around the clock is You guys are with Kobe tonight? Yeah, sand. I can almost see a slew of new services coming out just on the Amazon site if I'm on the Amazon. So I'm thinking, OK, outposts. The opportunity from a I got stage maker machine learning coming in any value for user experience and also, you know, enabling in their own stuff. They got a ton of stuff with prime the moving people around and delivering the head room for Amazon. This thing is off the charts. But that being said, that's Amazon could see them winning with this. I'm certainly I know using elemental as well. But for you guys on the consumer side, what features and what new things do you see on the road map or what? You might envision the future looking like, >>Well, I think part of it. I think there's two parts. One is what are we gonna deliver ourselves, you know? So we sort of talked about adding community content and continuing to evolve the local beauty product. Um, but we also see ourselves primarily as a local TV platform. Um, and you know, for example, you mentioned prime. And a lot of people are now realizing, especially with Cove, it and what's going on the importance of local television. Ah, and so we're in discussions on a lot of fronts with people to see how how we can be the provider of that local TV content, you know, um and that's really a lot of stationed are super psyched about that to just, you know, again looking to expand their own footprint and their own reach. You know, we're basically the way that we conjoined those two things together between the station's the other video platforms and distribution mechanisms and the viewers. Obviously, at the end of the day, um, you know, we want to make sure local viewers can get more local content and stuff this interesting to them. You know, like you said with the news, it is not uncommon that you may have your Bay area stations, but the news is still may be very focused on L. A or San Francisco or whatever. Um and so being able to enable, uh, you know, the smaller regional outlets to reach people in that area in a more local fashion, uh, is definitely a big way that we can facilitate that from the platform. And, you know, if you were perspective, so we're hoping to do that in any way we can. You know, our main focus is make local great, you know, uh, get the broadcast world out there, and that's not going anywhere, especially with things like HSC tree. Uh, you know on the front. Um, and you know, we just want to make sure that those people are successful, um, and can reach people and make revenue. And, you know, >>you got a lot of it and search number two. But I think one of the things that's just think about your project that I find is a classic case of people who focus in on that Just, you know, current market value investing versus kind of game changing shifts is that you guys air horizontally, enabling in the sense that there's so many different use cases. I was pointing out from my perspective journalism, you know, I'm like, I look at that and I'm like, OK, that's a huge opportunity. Just they're changing the game on, you know, societal impact on journalism, huge education, opportunity for cord cutters. You're talking about a whole nother thing around TV. I gotta ask you, you know, pretend I'm an idiot for a minute by our pretending that this person from this making I amenity after I don't understand is it Isn't this just TV? What are you doing? Different? Because it's only local. I can't watch San Francisco. I'm in Chicago and I can't watch Chicago in San Francisco. I get that. You know why? Why is this important? Isn't this just TV? Can I just get on YouTube? Mean Tic tac? Well, talk about the yes >>or no. I mean, there's TV, and then there's TV, You know, as you know, um and, you know, if you look at the TV landscape just pretty fracture. But typically, when you're talking about YouTube or who you're talking about, sort of cable TV channels, you know, you're gonna get your Annie, you're going to get some of your local to ABC and what not? Um, but you're not really getting local contact. And So, for example, in our Los Angeles market, um, we there are There are about 100 something over the air channels. If you look at the cross section of which of those channels you can get on your other big name products like you lose your YouTube TV, you're talking about maybe 1/2 a dozen or a dozen, right? So there's like 90 plus channels that are local to L. A. That you can only get through an antenna, right? And those air hitting the type of demographics. You know, quite frankly, some of these other players or just, you know, don't see is important >>under other minorities. Back with immigrants, you know, hit the launch printers of our country. Yes, >>exactly. You know, So, you know, we might see a lot of Korean channels or Spanish channels or other. You know, um, minority channels that you just won't get over your cable channels or your typical online video providers. So that's again Why, you know, we feel like we've got something that is really unique. Um, and that is really underserved, you know, as far as on a television sampling, Um, the other side that we bring to the table is that a lot of these broadcast channels are underserved themselves in terms of technology. Right? If you look at, you know, at insertion, um and you know, a lot of the technical discussions about how to do live TV and how to get live tv out there. It's very focused on the o t T market. So again, going back to who lose and >>the utility well, over the top of >>over the top. Yeah. Um and so this broadcast market basically had no real evolution on that front in a while, you know? And I sort of mentioned, like the way ad buying works. You know, it's still sort of the traditional and buying that happens a couple weeks in front. Not a lot of targeted or anything ability. Um, And even when we get to the HSC three, you're now relying on having an H s street TV and you're still tied to an antenna, etcetera, etcetera, which is again, a good move forward, but still not covering the spectrum of what these guys really want to reach and do. So that's where we kind of fill in the gaps, you know, using technology and filling in the gap of receiving a signal and bringing these technologies. So not only the ad insertion and stuff we can do for the life stream, Um, but providing analytics and other tools to the stations, uh, that they really don't have right now, unless you're willing to shell out a lot of money for Nielsen, which a lot of local small stations don't do s so we can provide a lot of analytics on viewership and targeting and things like that that they're really looking forward to and really excited >>about. I gotta ask you, put you on the spot. He'll because I don't see Andy Jassy. It reinvented might. Hopefully I'll see him this year. They do a person event. He's really dynamic. And you just said it made me think he tends to read his emails a lot. And if your customer and you are. But if you bumped into Andy Jassy on the elevators like, Hey, why should I pay attention to? Did you? What's why is it important for Amazon? And why is it important for the world? How does it raise the bar on society? >>Well, I think part of what Amazon's goal And you know, especially if you get into, you know, their work in the public sector on education. Um, you know, that's really where you know, we see we're focusing with the community on local television and enabling new types of local television eso. I think there's a lot of, uh, advantage, and, um, I hate the word synergy, but I'm going to use the word synergies, you know, um, this for us, You know, our goals in those areas around, you know, really helping, you know, Uh, you know, one of the terms flying around now is the dot double bottom line, where it's not just about revenue. It's about how do we help people and communities be better as well? Um, so there's a bottom line in terms of, uh, people benefit and revenue in that way, not just financial revenue, Right? And you know, that's very important to us as a business as well is, you know, that's why we're focused on local TV. And we're not just doing another food. Go where it's really easy to get a night. The national feed. You know, it's really important to us to enable the local, um, community and the local broadcasters and local channels and the local viewers to get that content, Um, that they're missing out on right now. Um, so I think there's a energy on that front A so >>far, synergy and the new normal to have energy in the near normal. You know, I think I think Kobe did. >>And you know, um, and some of the other, uh, things that have been happening in the news of the black lives matter and, um, you know, a lot of things going around where you know, local and community has been in the spotlight right and getting the word out and having really local things versus 100. Seeing this thing from, you know, three counties away, which I don't really care about, it's not telling me what's happening down the street, like you said, Um, and that's really what we want to help improve and support. >>Yeah, I know it's a great mission is one we care a lot of cute. We've seen the data content drives, community engagement and communities where the truth is so in an era where we need more transparency and more truth, you get more cameras on the street, you're gonna start to see things. That's what we're seeing, a lot of things. And as more data is exposed as you turn the lights on, so this week that kind of data will only help communities grow, heal and thrive. So, to me, big believer in what you guys are doing local be TV is a great mission. Wish you guys well and thanks for explaining the infrastructure on Amazon. I think you guys have a really killer use case. Technically, I mean to me. I think the technical superiority of what you've done. Abilities stand up. These kinds of networks with massive number potential reach out of the gate. It's just pretty impressive. Congratulations, >>Right. Thank you very much. And thanks for taking the time. >>Okay. Dan Drew, vice president of James. Did you start up? That's a lot of potential. Will. See. Let's go check out the comments on YouTube while we're here. Since we got you, let's see what's going on the YouTube front year. Yeah. The one question was from someone asked me, Was stiff from TV Cres that William Dan, Great to see you. Thanks for taking the time on Sunday and testing out this new zoom home recording my home studio, which I got to get cleaned up a little. Thank you for your time problem. Okay, take care.

>>from around the globe. It's the Cube with digital coverage of Red Hat. Summit 2020 Brought to you by Red Hat. >>Hi, I'm Stew Minimum And and this is the Cube's coverage of Red Hat Summit 2020 course Digital event This year. We're not together at Mosconi, but we are bringing together many of the speakers thought leaders, customers in this very important ecosystem. Really excited to welcome back to our program. Stephanie Cheers. Who's the vice president and general manager of the Red Hat Enterprise Linux business unit inside of Red Hat. Stephanie. So great to see you have to give you a virtual hug high five year, but you know, always great to see and have you on the program. >>Oh, thank you. So it's great to be here, and this is what together means today. But it's great to be together with you >>again. Here it's limit. >>Yeah, the discussion is you talk on it together apart for for a time we talk in tact. That change is one of the only constants that we have, and there are more changes than ever happening right now. So before we get into kind of your B you talk a little bit about, You know, some of the big changes. There's organizational changes, you know, I know we spoke to you about in 2019 at IBM Think and Red Hat Summit because you've worked for both sides of the equation here, Uh, give us kind of the latest from your standpoint. >>Yes, certainly the leadership changes which have been public now for a couple weeks. Those were a big change >>for for us. I think one of the things that has come through is IBM has really been respecting what red hat is. What? Um, what we do. But also how we do it is very important and valued. And we at red Hat >>believe in it so strongly. We're sticking to what Red Hat does best. Everything is open source. Everything is collaborative. And honestly, I have to say it. It >>feels great as a red Hatter to see Jim in the position he's in at IBM Um, Paul's passion, >>which clearly comes across in his keynotes and >>his passion for how we do have an open source development model. It's great to have them now take over the CEO role for Red hat. So it's it's really exciting times. I think. Last year when we spoke, it was, um it was a bit of a wait and see and see what happens. And I think now the recent announcements really solidify this sort of synergy and partnership that IBM and Red Hat have and what our intentions are in the market. But at Red Hat, we still stay red hat, and we're still driving things the way we always have. And that's great. Feels that >>that that's great. And thank you so much for the update. So when we talk about your business unit that the Red Hat Enterprise, Linux, of course, Rehl, um, you know, I've got a little too much history, you know. I go back when it was, whereas, you know, before well and kind of wash the growth of Linux sto become really, you know, the underlying fabric of so much of what we see out there today for all of businesses, so many companies could not exist if it wasn't for Linux. And in the seven years we've been having the Cube, of course, we've really watched that that moved from Lennox to not only be some of the foundations of what's happening in customer's environments, but also a major piece of cloud and cloud. Native S O. You know, give us that up date as to, you know, here in 2020. You know why? You know Linux has been around for quite a long time, but, you know, it's still is relevant. >>Yeah, so that's it. That's a >>great leader and ties exactly to how we look at well in the red hat sort of entire portfolio. Um, when you look at Lenox of how it evolved, it started out as being a bit of a cheaper alternative to units. But it quickly became, because of the open source way and collaborative way it's developed. It quickly became sort of this springboard for innovation because you have all these incredible innovators collaborating upstream. All of that has fed to a whole different view of what Linux is. Is cloud exists because of Linux is containers are just a different deployment mechanism or Lennox workloads, artificial intelligence. All those APS are built on Linux, so it's become this standardized foundation upon which innovation is done today, And for me, that's the most exciting thing, because it red hat and rail. Our goal is to one. Have it just work right? It has >>to be the standard. And, um well, sometimes that can be misinterpreted. It >>is boring or a commodity. It is anything but a commodity. It's probably one of the most strategic decisions that someone makes. Is which Raoul Distribution? Which Red Hat, which Lennox distribution did they use and that really take real pride that it's built for the enterprise? It's build for security. It's built for resiliency, and all of that build it once deploy anywhere, translates into also using all the innovation, all the container ization capabilities, using it across multiple public clouds. So it's really that combination of having it just work, be the foundation of where you build once and then being able to leverage all the innovation that's coming out of the open source world today. >>Yeah, really interesting points. Stephanie, I think back to when we talked for years about the consumer nation consumers, consumer ization. Excuse me of I t and people thought that therefore, there wouldn't be differentiation, you know, just by white box things and everything will be off the shelf. But if you look at how most companies build things, they really hyper optimize that. I need to build what I need. I need to use the tools that are available, and I need to be able to be agile. You know, I want one of my highlights last year talking to a lot of companies going through their digital transformation and a number of them at Red Hat Summit last year where they talked about both the organization and technology changes that they're making to move faster. And, of course, your portfolio is a big piece of helping them move forward. >>And that's one thing we're seeing that that ability to consume, innovation and get the >>most and extract the most out of what they're running today in their data center. As customers transform and take on this digital transformation, it's not just a technology statement. In most cases, it's an organizational statement as well. And how do you bridge both those and move it forward? It's one thing we focus a lot on right with the open innovation labs, with a lot of customers as well, because it's not just about the technology, it's about the way we work in the way we do things as well. >>Yeah. So, Stephanie, you know, every every year or so I hear it's like, Oh, well, we've got a new way to To the operating system. There was the Jeff just enough operating system for for a while when container ization came out, there was little company named core Os. That was like, Oh, we're going to make a thin version or core OS is now Ah, piece of red hat. Um, so still, with the cloud, there's always, you know, we're going to change the way the operating system it's done. Um, we just love your viewpoint as to, you know, Red Hat has, you know, a few options and kind of a spectrum of offerings. But how do your customers think about the OS these days? And you know, how should we be thinking about rail specifically in that overall spectrum? >>No, it's so that's a great question, too. And we look at >>it as Lennox and Rehl is be one thing that stays the same and helps you get the value out of all the work you've already put in all the development work you've already put in. And make sure that that translates to the future, where everything is changing, how you deploy where you deploy what you deploy. All of that may change, but if you want to get the value out of the work in the development that has been done yesterday, you need something to stay the same. In our view, that's real. We build it with um in mind for the enterprise along lifecycle security support. We build all of that into it so that when you build on a rail monorail kernel, you can take that. If you want to deploy it in a container, you can deploy on Rehl itself. Or if you need orchestration, you can deploy it on open shift. And that's part of the reason why you mentioned Core OS. So we now have a rail core. OS is within open shift 4.0, on beyond, of course. But what we did was we tailor down what is. In reality, it's the same packages. It's the same certification, security, all of that work that we put in. We take the core OS piece of it, what's essential and really optimized for open shift. We build that into an immutable image, and it goes out as part of open shift. It's not available separately because it's really tailored. What we pick the life cycle is all matching open shift, >>and what that does >>is provide you on open shift experience. That's easy to update fully across the board, all the way down to the kernel. But you know, it's the same Lennox that you have in rail, >>and it's that consistency >>of technology that we really strive for. Um, same thing in public Cloud. So when you build an image on Prem on REL, you can take that image up into the public cloud. And no, it's the same level of security and it just will work, you know, part of part of my team. And we take a lot of pride in the fact that it will just work on. And while that >>may not sound super exciting, particularly in days >>like like right now, being dependable and being reliable and knowing that it's secure, all of that is really important when you run your business that those those features or anything but commoditized >>Well, yeah, I think one of the real volumes that customers see with real specifically is there's so much change going on there, and you look at the Linux community, you look at what open shifts doing in the Kubernetes community. There's so much coaches going on red hat packages that make sure that you don't need to think about the almost chaos that's going out there in all of those communities. But you packaged those together. So Stephanie rarely was, of course, one of the highlights of last year's Red Hat Summit. So we'd love to hear you know, if you've got any good customer stories, really, the momentum of relate as you've seen it, you roll out around the world as and then we'll talk about the new updates. You have this. >>Yeah, great. So Rehl eight was a big deal for us last year, as you remember, and partly because not >>only all the features and functions, of course, which we put into it, but also because we really wanted to reposition what the value of an operating system is within a data center and within their innovation future. So we really focus all the features and functions into two buckets. One is about how do we help you with the operating system? Run your business better, more efficiently If the most out of the systems you have in the critical workloads that you run today and how do we use the operating system to help you bridge into the next level of innovation? What's coming down the pipeline? Things like containers. >>And we really wanted to >>make sure that, as we see you know, most customers are looking to how they digitally transform. But of course, no one has the freedom to throw away everything they've done in the past. They want to build upon that and get value out of it. So we really focused on balancing those two things now, as we look at. In fact, one of the commitments we made because we heard it from customers was they wanted a more predictable deployment of our minor releases and our major releases. And we committed, um, at the REHL eight launch that we would be delivery minor releases every six months, major releases every three years, and we have held to that. We delivered 816 months after we delivered eight. And now you saw last week we delivered eight dot too. Um, this is what it means for us to stand by our world and be dependable as an operating system. And the beauty of the subscription with well is that if you're a customer and you're running REL seven, particularly in times right now, it's It's not that easy to get into your data center, perhaps. And so if you don't choose to update to eight now, you can stay on seven until that time works. That's to me. That's part of the beauty and the flexibility of the subscription model. We have course want to continue to bring your new capabilities and new features. But the subscription Our goal is to have a value subscription that you can you can get the most value from No matter when you decide to upgrade or no forward with, uh, with a different releases, we have >>Well, you can go. And congratulations on keeping the releases going on schedule. One of the nice things about open source is we can see the roadmap out there. You've made this Ah, this promise and you're keeping to it. So ah is you said the announcements we made has been talked about in the keynote. So give us a couple of highlights. Says what people to be looking at and looking to learn more when they dig into a thought to >>Yeah, great. So we really wanted to stick with a few key >>messages with it, and they do really tie to How do we help you run your business? And how do we help you grow your business? It's one thing that we announced and what we pivoted to, um, with the eight dot io is we >>really moved to? How do we How do we >>deliver what we called an intelligent OS, which means an OS that helps you bridge the gap and brings more value to you in your data center than you got before? One of the key aspects to this was adding in the capability of red hat insights, and we added insights capability into every single rail subscription that is under current support. So whether or not you moved to relate whether you have real seven, if you have a supported version of real six, all of those had insights added to it, and what insights is is a as a service on cloud at red hat dot com and link up your servers, and >>it will give you insight >>into operational capability. Is it configured correctly is it could be optimized for better performance. Where are you on your C V E updates and what it does is take all that knowledge that Red Hat has from all the support cases and things that we're seeing what's happening in the industry, what we're seeing other customers have, and we can even proactively help customers. The feedback on this capability has been huge. In fact, you'll see in the announcement last week we've added a lot of new capabilities into this specifically For that reason we've had customers, you know, it's like having it's like having more ops people on my team because I'm getting this input in directly from Red Hat for things to look at. And so that, to me, was probably one of the key aspects that, as we look from going to eight into eight dot too, how do we build up that capability? And of course, last week you saw we added a lot to that, and I think now more than ever, we want to make sure that everyone who has a real subscription is getting the most value out of that and I think insights is one of the places where if you have a subscription and, um, you can value or you can get more value from operational help, insights is a place where we want to help you. Um, we everything we had prior we have now bucket sized into a capability and insights called advisor is really about performance, stability and security and doing an analysis for you. We've added a new capabilities around vulnerability, Right. How do you re mediate common vulnerabilities and exposures, compliance aspect, patch aspect policies and drift? Um, kind of all of those we've now bucket it in into that insights capability. So this friends a lot more value to something that we have already seen. Customers say, You know, we didn't expect to get this amount of input and continuous growth because we constantly add new new rules into that engine. And so you know what? What we what we knew yesterday will be what we know tomorrow, and we look forward to sharing with that with everyone >>who has a subscription. So this is >>a place where I think it's ah, it's an important place for folks to look, particularly now because operational efficiency is really key. And security is really we have a lot of capabilities in both. What? Yes, Please, >>please, please, go ahead. Now, >>one other aspect on that that I wanted to mention >>was we also added a capability called subscription watch and subscription Watch helps you get a very simple, clean view of all the subscriptions you have and where they're running. And that was one thing that we saw. Customers say there was friction. And how do I know where my entitlements are? How I'm using them across my entire enterprise Corruption watch can help with that. So, um, this sort of cloud dot red hat dot com capability that we can assist with and is already part of your subscription. These are the kinds of things that we really want to help augment this to make Really intelligent os for the enterprise. >>Yeah. Stuff Stephanie. The comment I was gonna make is there's certain shows that I go to that every year. You go to it, You say Okay, it's a little bit bigger. They announce something. They made some progress on it. What has impressed me most about going to the red Hat show year after year is really the the growth of the of the portfolio, if you will. So when I first started going to it, it was, you know, a lot of the people there were, you know, the hard core Linux people. Um And then, you know, there's some storage people, some networking people is cloud containers really grew. It really blossomed into this really robust ecosystem. Oh, and growth there. So would love just to get your viewpoint on, you know, the skill set because, you know, I'm sure there's plenty of companies out there that are like, Well, you know, I've got some people that are, you know, my limits people, and they do things that aren't there. But, you know, how do you see kind of the skill set and what what Red Hat's doing really permeating more and more of, of companies, day to day activity. >>I think one of the things that I'm >>most proud of is even since last year's all the deeper collaborations we have between the various product lines. Certainly we'll talk with Joe Fitzgerald, and he and I work together very closely. Capabilities like insights. How do we add answerable capabilities directly into real. And what that does is really help. I think in any customer today, skills is probably one of the biggest concerns that they have. How do they grow those skills? How do they help folks grow and learn more and progress into the innovation areas? But clearly they still need their their mission critical applications to run and how do they span that? And I think what we're really trying to do is be able to bring the strength of the portfolio together to help a customer have more flexibility in how they leverage their skills and how they grow their skills. >>Because I think coming back to >>that statement that that you made earlier it's not just about technology. It's about how, if >>you really want to be, have agile, it's about >>how a company has organized. And I think we're hoping that we bring together the strength of the portfolio so that a customer is able todo leverage their organization and leverage their skills and the best way possible. I think another place where we worked hard on eight dot too. Some similar lines of bridging the portfolio was, you know, we announced back in eight dot io. We were putting container ization tools directly in Terrell with build a pod made in scope e 08 dot too. We brought in the newest versions of Scope EO and Build Up. In fact, in tech preview, you get containerized versions of those, and so we're continuing to add. What we are seeing is the container ization is a journey for customers. Many customers just want to deploy a single container on a server. Or they were. They want to deploy a single container in a VM Um, they're not ready for orchestration. We wanted to put the tools in so that a customer could do that on REHL. Get started, get those containers deployed on REHL. Put those tools directly, and we added it to old protocol, which is a tool built for security. It brings that security of SC Lennox and brings that up and adds value at the container level. It's those kinds of things as you see the bridge from well into open shift. How do we help a customer rich? That skill journey as well along that path and I think right now in kubernetes and Containers skills is a is a big, big area of focus, so the more we can help ease that across the portfolio and bring those things together is really important. And I know we're working very closely with the chefs in the, um and the team there in order to help bridge that. >>Excellent. Stephanie, I just want to give you the last word. We talked a lot about the ongoing journey that customers are going through. So give us your final take away as to how customers should be thinking about red hat in general and role specifically as their journey goes forward. >>I think I think one of the things >>we're very proud of here at Red Hat is that we always, particularly in the open source communities with our customers, with our partners, we want to roll up our sleeves and help, and that's we want. So, developer, we wanna work upstream with you. It's one of the things we're very proud of, and now, particularly in this time it's We want to make sure that folks understand we're here to help, and we want to make sure that you're getting the most out of the subscriptions you have, Um, and we help. We help you on that journey both to get the most out of you can out of your data center today. But also be ready for the innovation that you want to consume going forward. And we're collectively working across red Hat in order to make that happen. But it's, um >>even though this is different and it's there the virtual Experience edition of Red Hat Summit. It's >>great to be together and be able to share the whole message. >>Well, Stephanie, the open source community is definitely used to collaborating remotely. So thank you so much for joining us. It's a pleasure to see you. And we would hope to talk again soon. >>Great to see you too. Thank you for the time. >>Alright. You're watching the Cube's coverage of Red Hat Summit 2020 digitally with remote guests from around the globe. Instrument a man and thank you for watching the Cube. >>Yeah, yeah, yeah.

>>from San Francisco. It's the Cube covering. Get lab commit 2020 Brought to you by get lab. >>Welcome back. I'm Stew Minutemen, and this is get lab Commit 2020 here in San Francisco. Happy to welcome to the program. First time guests and TN Who is the co founder and CEO of Matter Most in. Nice to meet you. >>Thanks. Thanks for having me. >>Alright. S O. I always love. When you get the founders, we go back to a little bit of the why. And just from our little bit of conversation, there is a connection with get lab. You have relationships, Syd, Who's the co founder and CEO of get lab? So bring us back and tell us a little bit about that. >>Yeah, thanks. So I'm you know, I'm ex Microsoft. So I came from collaboration for many years there. And then, you know what I did after Microsoft's I started my own started a sort of video game company was backed by Y Combinator and, you know, we had were doing 85. Game engine is very, very fun on. We ran the entire company off of a messaging product. Misses, You know, a little while ago and it happens that messing product got bought by a big company and that got kind neglected. It started crashing and lose data. We were super unhappy. We tried to export and they wouldn't let us export. We had 26 gigs of all information. And when we stop paying our subscription, they would pay one less for our own information. So, you know, very unhappy. And we're like, holy cats. Like what? I'm gonna d'oh! And rather than go to another platform, we actually realized about 10 million hours of people running messaging and video games. Well, why don't we kind of build this ourselves? So we kind of build a little prototype, started using ourselves internally and because, you know, Sid was this a 2015 and said was out of my Combinator, We were y commoner would invent and we started talking. I was showing him what we built and sits like. You should open source that. And he had this really compelling reason. He's like, Well, if you open source it and people like it, you can always close source it again because it's a prototype. But if you open source, it and no one cares. You should stop doing what you do. And he was great. Kind of send me like this email with all the things you need to dio to run open source business. And it was just wonderful. And it just it is a start taking off. We started getting these wonderful, amazing enterprise customers that really saw what mattered most was at the very beginning, which was You know, some people call us open source slack, but what it really is, it's a collaborates, a collaboration platform for real Time Dev ops and it release. For people who are regulated, it's gonna offer flexibility and on Prem deployment and a lot of security and customization. So that's kind of we started and get lab is we kind of started Farley. We started following get labs footsteps and you'll find today with get lab is we're we're bundled with the omnibus. So all you have to do is put what your own would you like matter most on one. Get lab reconfigure and europe running. >>Yeah, I love that. That story would love you to tease out a little bit when you hear you know, open source. You know, communications and secure might not be things that people would necessarily all put together. So help us understand a little bit the underlying architecture. This isn't just, you know, isn't messaging it, Z how is it different from things that people would be familiar with? >>Yeah, that's a great question. So how do you get more secure with open source products? And the one thing look at, I'll just give you one example. Is mobility right? So, in mobile today, if you're pushing them, if you're setting a push notification to an Iowa, sir. An android device, It has a route through, like Google or Android. Right? And whatever app that you're using to send those notifications they're going to see you're going to see your notifications. They have to, right? So you just get encryption all that stuff in order to send to Google and Andrew, you have to send it on encrypted. And you know these applications are not there, not yours. They're owned by another organization. So how do you make that private how to make it secure? So with open source communication, you get the source code. It's an extreme case like we have you know, perhaps you can views, and it's really simple in turnkey. But in the if you want to go in the full privacy, most security you have the full source code. APS. You have the full source code to the system, including what pushes the messages to your APS, and you can compiling with your own certificates. And you can set up a system where you actually have complete privacy and no third party can actually get your information. And why enterprises in many cases want that extreme privacy is because when you're doing incident response and you have information about a vulnerability or breach that could really upset many, many critical systems. If that information leaked out, you really can't. Many people don't want ever to touch 1/3 party. So that's one example of how open source lets you have that privacy and security, because you because you control everything >>all right, what we threw a little bit the speeds and feeds. How many employees do you have? How many did you share? How many customers you have, where you are with funding? >>So where we are funding is, you know, last year we announced a 20 million Siri's A and A 50 million Siri's be who went from about 40 folks the beginning the aired about 100 a t end of the year. We got over 1000 people that contribute to matter most, and what you'll find is what you'll find is every sort of get lab on the bus installations. Gonna have a matter most is gonna have the ability to sort of turn on matter most so very broad reach. It's sort of like one step away. There's lots of customers. You can see it. Get lab commit that are running matter. Most get lab together, so customers are going to include Hey, there's the I T K and Agriculture that's got six times faster deployments running. Get lab in Madame's together, you've got world line. It's got 3000 people in the system, so you've got a lot of so we're growing really quickly. And there's a lot of opportunity working with Get lab to bring get lab into mobile into sort of real times. Dev up scenarios. >>Definitely One of the themes we hear the at the show is that get labs really enabling the remote workforce, especially when you talk about the developers. It sounds like that's very much in line with what matters most is doing. >>Absolutely. Madam Mrs Moat. First, I don't actually know. We're probably in 20 plus countries, and it's it's a remote team. So we use use matter most to collaborate, and we use videoconferencing and issue tracking across a bunch of different systems. And, yeah, it's just it's remote. First, it's how it's how we work. It's very natural. >>Yeah, it just give us a little bit of the inside. How do you make sure, as a CEO that you, you know, have the culture and getting everyone on the same page when many of them, you know, you're not seeing them regularly? Some of them you've probably never met in person, so >>that's a great question. So how do you sort of maintain that culture 11? The concert that get lips pioneered is a continent boring solutions, and it's something that we've taken on as well. What's the most boring solution to preserve culture and to scale? And it's really do what get labs doing right? So get love's hand, looked up. Get lab dot com. We've got handbook that matter most dot com. It's really writing down all the things that how we operate, what our culture is and what are values are so that every person that onboard is gonna get the same experience, right? And then what happens is people think that if you're building, you're gonna have stronger culture because, you know, sort of like, you know, absorbing things. What actually happens is it's this little broken telephone and starts echoing out, and it's opposed to going one source of truth. It's everyone's interpretation. We have a handbook and you're forced to write things down. It's a very unnatural act, and when you force people to write things down, then you get that consistency and every we can go to a source of truth and say, like, This is the way we operate. >>2019 was an interesting year for open source. There were certain companies that were changing their models as toe how they do things. You started it open source to be able to get, you know, direct feedback. But how do you position and talk to people about you know, the role of open source on still being ableto have a business around that >>so open source is, I think there's a generation of open source cos there's three ways you can really make money from open source, right? You can host software, you can provide support, and service is where you can do licensing, which is an open core model. When you see his categories of companies like allowed, you see categories like elastic like Hash corporate Terra Form involved with Get Lab that have chosen the open core model. And this is really becoming sort of a standard on what we do is we fall that standard, and we know that it supports public companies and supports companies with hyper growth like get Lab. So it's a very it's becoming a model that I'm actually quite familiar to the market, and what we see is this this sort of generation, this sort of movement of okay, there was operating systems Windows Circle. Now there's now there's more servers running Lennix than Windows Server. On Azure, you seen virtual ization technology. You've seen databases all sort of go the open source way and we see that it's a natural progression of collaboration. So it's really like we believe collaboration will go the open source way we believe leading the way to do that is through open core because you can generate a sustainable, scalable business that's going to give enterprises the confidence to invest in the right platform. >>All right, in what's on deck for matter most in 2020. >>It's really we would definitely want to work with. Get lab a lot more. We really want to go from this concept of concurrent Dev ops that get labs really champion to say Real time de Bob's. So we've got Dev ops in the world that's taking months and weeks of cycle times. And bring that down to minutes. We want to take you know, all your processes that take hours and take it down to seconds. So what really people, developers air sort of clamoring for a lot is like, Well, how do we get these if I'm regulated if I have a lot of customization needs? If I'm on premise, if I'm in a private network, how do I get to mobile? How do I get quicker interactions on? We really want to support that with instant response with deficit cock use cases and with really having a complete solution that could go from all your infrastructure in your data center, too. You know, that really important person walking through the airport. And that's that's how you speed cycle times and make Deb sec cops available anywhere. And you do it securely and in do it privately. >>All right, thanks so much for meeting with us. And great to hear about matter most. >>Well, thank you. Still >>all right. Be sure to check out the cube dot net for all the coverage that we will have throughout 2020 I'm still minimum. And thanks for watching the cue.

>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Hey, welcome back to the cubes. Coverage of AWS 19 from Las Vegas. This is Day two of our coverage of three days. Two sets, lots of cute content. Lisa Martin here with Justin Warren, founder and chief analyst. A pivot nine. Justin and I are joined by a couple of guests New to the Cube. We've got David Meister next to meet Global head of sales for Io Tahoe. Welcome. Eddie Edwards with a cool name. Global Data Service is director from Direct Energy. Welcome, Eddie. Thank you. Okay, So, David, I know we had somebody from Io Tahoe on yesterday, but I'd love for you to give her audience an overview of Io Tahoe, and then you gotta tell us what the name means. >>Okay. Well, day pie stir. Io Tahoe thinks it's wonderful event here in AWS and excited to be here. Uh, I, oh, Tahoe were located in downtown on Wall Street, New York on and I Oh, Tahoe. Well, there's a lot of different meanings, but mainly Tahoe for Data Lake Input output into the lake is how it was originally meant So But ah, little background on Io Tahoe way are 2014. We came out way started in stealth came out of stealth in 2017 with two signature clients. When you're going to hear from in a moment direct energy, the other one g e and we'll speak to those in just a moment I owe Tahoe takes a unique approach way have nine machine learning machine learning algorithms 14 future sets that interrogates the data. At the data level, we go past metadata, so solving that really difficult data challenge and I'm gonna let Eddie describe some of the use cases that were around data migration, P II discovery, and so over to you >>a little bit about direct energy. What, you where you're located, What you guys do and how data is absolutely critical to your business. Yeah, >>sure. So direct energy. Well, it's the largest residential energy supplier in the er us around 5000 employees. Loss of this is coming from acquisitions. So as you can imagine, we have a vast amount of data that we need some money. Currently, I've got just under 1700 applications in my portfolio. Onda a lot. The challenges We guys are around the cost, driving down costs to serve so we can pass that back onto our consumers on the challenge that with hard is how best to gain that understanding. Where I alter whole came into play, it was vainly around off ability to use the products quickly for being able to connect to our existing sources to discover the data. What, then, that Thio catalog that information to start applying the rules around whether it be legislation like GDP, are or that way gets a lot of cases where these difference between the states on the standings and definitions so the product gives us the ability to bring a common approach So that information a good success story, would be about three months ago, we took the 30 and applications for our North America home business. We were able to running through the product within a week on that gave us the information to them, consolidate the estate downwards, working with bar business colleagues Thio, identify all the data we don't see the archival retention reels on, bring you no more meaning to the data on actually improve ourselves opportunities by highlights in that rich information that was not known >>previously. Yes, you mentioned that you growing through acquisition. One thing that people tend to underestimate around I t. Is that it's not a heterogeneous. It's not a homogeneous environments hatred genius. Like as soon as you buy another company, you've got another. You got another silent. You got another day to say. You got something else. So walk us through how iota who actually deals with that very disparity set of data that you've night out inherited from just acquiring all of these different companies? >>Yeah, so exactly right. You know, every time we a private organization, they would have various different applications that were running in the estate. Where would be an old article? I say, Hey, sequel tap environment. What we're able to do is use the products to plug in a name profile to understand what's inside knowledge they have around their customer base and how we can number in. That's in to build up a single view and offer additional products value adding products or rewards for customers, whether that be, uh on our hay truck side our heat in a ventilation and air con unit, which again we have 4600 engineers in that space. So it's opening up new opportunities and territories to us. >>Go ahead, >>say additionally to that, we're across multiple sectors, but the problem death by Excel was in the financial service is we're located on Wall Street. As I mentioned on this problem of legacy to spirit, data, sources and understanding, and knowing your data was a common problem, banks were just throwing people at the problem. So his use case with 1700 applications, a lot of them legacy is fits right into what we d'oh and cataloging is he mentioned. We catalogue with that discover in search engine that we have. We enable search cross enterprise. But Discovery we auto tag and auto classify the sensitive data into the catalog automatically, and that's a key part of what we do. And it >>was that Dave is something in thinking of differentiation, wanting to know what is unique about Iota. What was the opportunity that you guys saw? But is the cataloging and the sensitive information one of the key things that makes it a difference >>Way enabled data governance. So it's not just sensitive information way catalog, entire data set multiple data sets. And what makes us what differentiates us is that the machine learning way Interrogate in brute force The data So every single so metadata beyond so 1,000,000,000 rose. 100,000 columns. Large, complex data sets way. Interrogate every field value. And we tell you what this looks like A phone number. This looks like an address. This looks like a first name. This looks like the last name and we tagged at to the catalog. And then anything that sensitive in nature will color coded red green, highly sensitive, sensitive. So that's our big differentiator. >>So is that like 100% visibility into the granularity of what is in this data? >>Yes, that's that's one of the issues is who were here ahead of us. We're finding a lot of folks are wanting to go to the cloud, but they can't get access to the data. They don't know their data. They don't understand it. On DSO where that bridge were a key strategic partner for aws Andi we're excited about the opportunity that's come about in the last six months with AWS because we're gonna be that key geese for migration to the cloud >>so that the data like I love the name iota, How But in your opinion, you know, you could hear so many different things about Data Lake Data's turning into data Swamp is there's still a lot of value and data lakes that customers just like you're saying before, you just don't know what they have. >>Well, what's interesting in this transition to one of other clients? But on I just want to make a note that way actually started in the relational world. So we're already a mess. We're across header genius environment so but Tahoe does have more to do with Lake. But at a time a few years back, everybody was just dumping data into the lake. They didn't understand what what was in there, and it's created in this era of privacy, a big issue, and Comcast had this problem. The large Terry Tate instance just dumping into the lake, not understanding data flows, how they're data's flowing, not understanding what's in the lake, sensitivity wise, and they want to start, you know they want enable b I. They want they want to start doing analytics, but you gotta understand and know the data, right? So for Comcast, we enable data ops for them automatically with our machine learning. So that was one of the use cases. And then they put the information and we integrated with Apache Atlas, and they have a large JW aws instance, and they're able to then better govern their data on S O N G. Digital. One other customer very complex use case around their data. 36 e. R. P s being migrated toe one virtually r p in the lake. And think about finance data How difficult that is to manage and understand. So we were a key piece in helping that migration happen in weeks rather than months. >>David, you mentioned cloud. Clearly weird. We're at a cloud show, but you mentioned knowing your data. One of the aspect of that cloud is that it moves fast, and it's a much bigger scale than what we've been used to. So I'm interested. Maybe, Eddie, you can. You can fill us in here as well about the use of a tool to help you know your data when we're not creating any less stated. There's just more and more data. So at this speed and this scale, how important is it that you actually have tooling to provide to the to the humans who have to go on that operate on all of this data >>building on what David was saying around the speed in the agility side, you know, now all our information I would know for North America home business is in AWS Hold on ns free bucket. We are already starting work with AWS connect on the call center side. Being able to stream that information through so we're getting to the point now is an organization where we're able to profile the data riel. Time on. Take that information Bolts predict what the customers going going to do is part that machine learning side. So we're starting to trial where we will interject into a call to say, Well, you know, a customer might be on your digital site trying to do a journey. You can see the challenges around data, and you could Then they go in with a chop using, say, the new AWS trap that's just coming through at the moment. So >>one of the things that opportunities I'm here. Sorry, Eddie is the opportunity to leverage the insights into the data to deliver more. You mentioned like customer words, are more personalized experience or a call center agent. Knowing this is the problem of this customer is experiencing this way. Have tried X, y and Z to resolve, or this customer is loyal to pay their bills on time. They should be eligible for some sort of reward program. I think consumers that I think amazon dot com has created us this demanding consumer that way expect you to know us. I expect you to serve us up things that you think we want. Talk to me about the opportunity that I owe Ty was is giving your business to be able to delight customers in ways that you probably couldn't even have predicted? >>Well, they touched on the tagging earlier, you know, survive on the stunned in the data that's coming through. Being able to use the data flow technology on dhe categorizing were able than telling kidding with wider estate. So David mentioned Comcast around 36 e. R. P. You know, we've just gone through the same in other parts of our organization. We're driving the additional level of value, turning away from being a manually labor intensive task. So I used to have 20 architects that daily goal through trying to build an understanding the relationship. I do not need that now. I just have a couple of people that are able to take the outputs and then be able to validate the information using the products. >>And I like that. There's just so much you mentioned customer 360. Example at a call centre. There's so much data ops that has to happen to make that happen on. That's the most difficult challenge to solve. And that's where we come in. And after you catalogue the data, I just want to touch on this. We enable search for the enterprise so you're now connected to 50 115 100 sources with our software. Now you've catalogued it. You profiled it. Now you can search Karen Kim Kim Smith, So your your your engineers, your architect, your data stewards influences your business analysts. This is folks can now search anything they want and find anything sensitive. Find that person find an invoice, and that helps enable. But you mentioned the customer >>360. But I can Also. What I'm hearing is, as it has the potential to enable a better relationship between I t in the business. >>Absolutely. It brings those both together because they're so siloed. In this day and age, your data siloed and your business is siloed in a different business unit. So this helps exactly collaborate crowdsource, bring it all together. One platform >>and how many you so 1700 applications. How many you mentioned the 36 or so air peace. What percentage? If you can guess who have you been able to reduce duplicate triplicate at center applications? And what are some of the overarching business benefits that direct energy is achieving? >>So incentive the direct senator, decide that we're just at the beginning about journey. We're about four months in what? We've already decommissioned 12. The applications I was starting to move out to the wider side in terms of benefits are oh, I probably around 300% of the moment >>in a 300% r A y in just a few months. >>Just now, you know you've got some of the basic savings around the story side. We're also getting large savings from some of the existing that support agreements that we have in place. David touched on data Rob's. I've been able to reduce the amount of people that are required to support the team. There is now a more common on the standing within the organization and have money to turn it more into a self care opportunity with the business operations by pushing the line from being a technical problem to a business challenge. And at the end of the day, they're the experts. They understand the data better than any IittIe fault that sat in a corner, right? So I'm >>gonna ask you one more question. What gave you the confidence that I Oh, Tahoe was the right solution for you >>purely down Thio three Open Soul site. So we come from a you know I've been using. I'll tell whole probably for about two years in parts of the organization. We were very early. Adopters are over technologies in the open source market, and it was just the ability thio on the proof of concept to be able to turn it around iTunes, where you'll go to a traditional vendor, which would take a few months large business cases. They need any of that. We were able to show results within 24 48 hours on now buys the confidence. And I'm sure David would take the challenge of being able to plug in some day. It says on to show you the day. >>Cool stuff, guys. Well, thank you for sharing with us what you guys are doing. And I have a Iot Tahoe keeping up data Lake Blue and the successes that you're cheating in such a short time, but direct energy. I appreciate your time, guys. Thank you. Excellent. Our pleasure. >>No, you'll day. >>Exactly know your data. My guests and my co host, Justin Warren. I'm Lisa Martin. I'm gonna go often. Learn my data. Now you've been watching the Cube and AWS reinvent 19. Thanks for watching

>>from Las Vegas. It's the cues covering quality security Conference 2019. Bike. Wallace. >>Hey, welcome back it. Ready? Geoffrey here with the Q worth the Bellagio Hotel in Las Vegas for the quality security conference. This thing's been going on for 19 years. I had no idea. It's our first time here, but it's pretty interesting out. Felipe and the team have evolved this security company over a lot of huge technological changes and security changes, and they're still clipping along, doing a lot of cool things in cloud and open source. We're excited of our next guest. She's Laurie McCarthy, the EVP of worldwide field >>operations. Lori, great to see you. >>Thanks. Glad to be here. >>Absolutely. So first off, congratulations in doing some homework for this. I was going through the earnings call. The last turning call, which A was a nice earnings call. You're making money buying back stock. Also, you were promoted or the announcement of your promotion on that call and really some nice, complimentary words from Philippe and the team about the work that you've done actually >>very grateful. Thank you. And >>one of the things we >>talked about, which is unique in your background as you came from a customer. Not It's always a day ago. These shows we have people that I came from customers that went to the vendor, and then we have people that rest of Endor and they went over to the customers. There's a lot of that kind of movement, but he really complimented your execution at CVS as a big reason why you got the promotion that you did. So again. Congrats. But let's talk about, you know, kind of the CVS experience from when you were running it. Not when you're on the quality side. Yeah, that the threats. And CBS is in class nationwide, all kinds of stuff. >>Yeah, well, I mean, you know, just like any other company that's in that health care vertical, you've got so many different things to think about. Additionally, we were also in the retail vertical, so we had a lot of compliance. E's to worry about p c p c i p. I s O. A lot of the programs had been very much, uh, checkbox driven prior to the team that moved in there, including myself, and kind of changed that. So I helped to rebuild the vulnerability program there. And we started to do it in such a way that it was for the sake of security, not just checking a box. And we were really innovated how they do things. A lot of my friends are still there, and they have their own stock now, and we kind of brought everything in house. So a lot of that was outsourced. >>So what was the catalyst to make the change To move from beyond simple compliance and check in the box, Actually making a strategic part of the execution? >>Yeah, at the time and a new sea so had been put into place. And it was someone with that vision, and I think that's what really drove it. I came in just after that and was brought in on the premise that this is what we're going to change and move toward. So I was part of that process from that >>point, right? It clearly, qualities was part of the solution. So what? What did you use calls for their and how is the solution changed? You know, kind of >>so back then when >>you want to call it, >>we're talking. In 9 4010 2011 Right around there. If you opened up the quality platform, you had three things to choose from. Versus today, when you log in, you've got 18 or more, depending. And S O CVS used a little bit of all of that with the mainstay having been the vulnerability management. So I ran to full vulnerability management programs there because we had to keep our pharmacy benefit company and our retail companies separate. So I sort of did double duty, >>Right? So what you doing now on field operations? >>So is the E V p of worldwide for Wallace. I'm running all of the technical account managers for our company way have a unique sales model here, so it's a little different. So everyone in the field to service is our clients rolls up to me, and then that also includes some additional teams, like our federal team, our strategic alliances team and also our subject matter experts >>today. So you said a couple >>times you guys have your account management structure is different than maybe traditional. Kind of >>walk through. Yeah, absolutely. So versus a traditional sales model. We have a salesperson. You have client service person. You have a technical, you know, social architect kind of person. We service our clients all with one person. We have a technical account manager. We break them up into two flavors. We have a presales who are very technical folks that go out and help us get our business. And then those accounts get handed over to our post sales, who are basically the farmers in our business, maintaining and growing our existing clients. What that allows for, which is really special, is we can go in and really build a relationship built on trust and understanding and strategy, because we bring people into our company like myself who have done this, who have sat on that side of the table. So you know, someone comes in and says What? You know, how would you like to buy one of my gizmos? It's a lot different conversation when it's like, Look at what I do with this gizmo like it's amazing. So it's It's kind of a similar feeling that you guys >>have your kind of platform with application strategy enables you to kind of do a land and expand, and in fact you even a something that people can try for free. >>Yeah, absolutely. So we review our model as, like, try and buy. So for both our non clients are freemium service is that we offer our, you know, out of this world for people being able to just log in without even being a client and start to evaluate their environment. And then when they see the value that we bring, it's very easy to translate that into a buy and then likewise, for our clients who sign up for a service or two enabling additional trials and having them work within our new service is as they're being rolled out, is very, very simple, the way our platform is built. So it's just it's a really effortless, very natural progression of business that we that we built. And it's one of the reasons that I work here because as a client, I really enjoyed my relationship with this company because it never felt like I was being sold anything. It always felt like I was being handed solutions to my challenges, and that's what we tried to do. And that's how I lead everyone today is Let's get out, Let's listen, let's strategize and let's see where we fit in with folks, right strategies for, you know, the coming >>future. So must be a team >>approach, though, right? Because one person you know to say, trying to manage the CVS account, that would be, >>Oh, so we have a little bit of a break out in our post side. We have what a new role that I helped get implemented here at the company, which is a major account solution architect they handle are bigger, more complex accounts. So as our platform has matured, so have our clients are bigger. Clients are using more of our platform. They're using it in a more expert way. So we had to answer that with the right kind of people who could speak to that expert level of usage and be able to finance that. So that's a little bit part of it. And on our bigger clients, we do have more of a team approach. We have a product management, a project management organization. The S M E team are subject matter. Experts roll up under me. They're experts in each of our solutions. So it's a sizeable team and they are liaise between product management, engineering our fields and our clients. And that's another support mechanism. And then our support at Wallace is also something that augments our technical account managers jobs on a daily basis. >>So new opportunity with a sure that was recently announced a bundle. Yeah, you're bundled in kind of under the covers, not not really under the covers. So a little bit about how that's gonna work from kind of an account management and and from your kind of point of view, >>So it's It's actually not gonna change much of anything on the way that we are. Mom are our model is a hybrid, right? So we have direct sales that we have indirect sales, even honor in direct sales through partners through relationships like we've just built with azure MSs peas and reach whatever. We still treat every end customer and every partner like a direct customer. So we work very hard to educate her partners, to work with them, to make sure they're successful with our clients. And we're also treating our clients who are through that avenue the same way. So it's it's just gonna blend right in with what we >>d'oh Yeah, that's great, but hopefully it's a sales channel and they get more than they just bought it under the covers and start implementing. >>It's easy for them to jump in with us. And then from there we can build those relationships with perhaps, you know, prospects and folks that aren't our clients now and be able to show them more things that we do. Besides just, you know, the one thing that they might be signing up for at that time, >>right? Right. Okay, great. I want to shift gears a little bit. >>We had windy by front earlier from from Nutanix. When he's a fantastic lady, yes, and she is super super involved in in girls Who Code and women in Tech and trying to drive that kind of forward along a number of parameters everything from the board to getting people jobs, training little girls to staying at staying in the industry. I know that's a big, passionate area of yours. I wonder if you could share some of the activities you guys were doing around women. I could think more specifically, and security is a subset of all tech, but share the some of the activities you have going on. >>So personally, I try to be very involved locally. Four Children. One of them is a daughter. She's too little, quite yet for getting into tact. I have two older sons and s so I try to be really involved in middle school high school. Hey, put me in, Coach, I'll come in and talk to the kids. Generating interest in getting into this field at a young age is what we need to do. They're still aren't enough gals and, honestly, guys heading into our business in college. So I I really take it upon myself as a security professional to try to promote that specifically around women. I'm really pleased that our company supports an organization which I've been a part of for a while, and that's the Executive Woman's Forum, and we sponsor their conference every year, and we sponsor events with them. I personally am part of their mentor program, so that allows me a channel. Thio have ah, unassigned person to work with, and I really enjoy that, and our company itself is just very excellent at promoting and enabling women within our organization. And it's another reason that I really loved working here for the past eight years, >>right? Well, from the top. Because the board, I think, is either for more than half. Yemen, which is certainly half >>women CEO, is very supportive. Our presidents, two men way have a great environment. Thio grow women professionally here in my company, >>right? That's great. So, ah, year from now, when we come back, what are we gonna be talking about? What's kind of on a road map? For the next year, >>we're going to be talking about our data leak efforts, or Sim. We're gonna be talking about our improved Edie, our capabilities that are really gonna put us in the position to be a major player in that market. Um, and who knows? We have such a quick turnaround of innovation here and what we do by the way we do our business. So starting with the technical account manager's boots on the ground with our clients, when we're there listening to all of their challenges, we're also taking that back, and that drives our innovation that the company so we hear what they need, and that's what we provide. So as things changed, we're going to continue to do that digital transformation, of course, is is making that something that we have to be even quicker about. And I think we're doing a good job >>keeping up well. 19 years and counting, making money. Find back, buying back shares to help everyone else's stock delusion. So not that, but nothing but good success. It's all right. Well, Laurie, thanks for taking a few minutes of your day. And again, congratulations on your promotion as well as a terrific event. >>Thank you very much. >>All right. She's Laurie. I'm Jeff. You're watching the Cube with the quality security conference at the Bellagio and lovely >>Las Vegas. Thanks for watching. We'll see you next time.