>> from Boston, Massachusetts. It's the queue covering active eo 2019. Data driven you by activity. >> We're back with the Cuban active FiO Data driven day one day Volante with student a man you're watching The Cube. Steve Duplessis here is the, uh, let's see. Uh, I'm going to say benevolent. Dictator of Enterprise Strategy Group. Chief analyst, Founder Welcome. Welcome back to the Cube. >> Thanks. Nice friend. Nice to be here, you fellows, and we don't Great. Congratulations. Newly newly closed. That's awesome. I want Yeah, thank you very much. >> Great. Looking good. You're here for your honeymoon. >> He said this is it? After a few marriages. This is the honeymoon. >> Yeah. That's good to know that the honeymoon's not over. So let's talk data, Tio. It's happening. >> That is a terrible question, Dave. >> So yeah, Data. Okay, everybody talks. Data you here, bro. My data is the new oil. Fate is a competitive advantage. And >> you like that. >> You do like what Data's in oil. >> So it's funny because we're I think I'm way older than you. You look better. >> God, no. >> But if you go back in time as long as we were doing this, it's been kind of hilarious, really. In retrospect, when you watch way watch these massive industries get created like the AMC just created because all they were about building bigger buckets to put data, zeros and ones. But no context, completely useless, just big buckets. So we valued Wow, you built a big fast bucket. Then IBM and her tachy whoever was gonna leap frog your next built a faster, bigger bucket. And that was with the world considered valuable. And it's now fast forward to the modern day and oh, maybe with the thing that's really valuable with those zeros and he's in contact. Maybe it's not really the bucket. It's, uh so valuable anymore. So >> So, do you think the with the bucket builders still bucket builders air they actually becoming data Insite creators? Or is it just still build a better bucket? That's cheaper. Faster >> till it's a great question. I think >> that we're first of all, you You still have to have the buckets, right? It's a relative who's going to make a smarter bucket builder. I don't know. >> You need someplace to put it, so >> you're gonna have to put it some place and you're gonna have to deliver it in the good news, you know, storage and or infrastructural say is the most brilliant business ever. From a capacity demand perspective, no one ever needs less, right. You always need Mauritz justa matter what you're gonna do with it, how you're going to address that. So it's we've propagated for 50 years and infrastructure business that build a bigger, faster bucket. Build a bigger, faster processor, build a bigger, faster. And every time you you solve one of those particular problems as long as data doesn't abate and it never does, is only is there's more versus Les. It's just every time we fix one problem way, you stick your finger in the dike and another poll springs out. So right now we're at the we've got more processing capabilities that week, ever possible. Use not true, right? We'll figure out a way to use it so that the last five years of and for the >> next five years waiting talk about analytics, wouldn't talk about io ti. We didn't talk about any of those things that are all just precursors to folk crap. We could make a whole bunch more NATO and do stuff with >> so So computers. Kind of a similar dynamic. It's sort of sensational. But is the relatively crappy business compared to storage rights? Storage is 60% plus gross margin. Business servers. I don't know. You're lucky if you get in in a low twenty's. Um, why is that? >> Hello, Number one. It's essentially monogamous. So 20% is wonderful if your intel and you get it. All right. Well, it sells. Got great gross margins, right? Everybody else's does it. You go down the supply chain. That's where you're gonna add value. So that's difficult for anything. Hard to get gross margins out of like spending. She had a box. >> So, Steve Yes, she's now 20 years old. >> I know >> when I think back 20 years ago. You know, short. You know this capacity price per dollar price per gigabyte. You know, all that stuff has changed a lot. The other thing, You know, I think back 20 years talk about automation and intelligent infrastructure. We were using those terms back that sure, one of things that they did. That that's right. Well, that's what I wanted to ask you about is like, right back then when you talked about well, how intelligent wasn't what could it do? And automation was There was a lot of times, you know, I'm just building a little script. I'm doing something like that. At least you know, from what we see, it feels like, you know, today's automation and intelligence is light times away from what we were talking about. 20 years. Sure, and it's true. What do you see in that? Well, >> so remember where we came from When we were talking originally about automation and orchestration, we were talking about how to manage a box, how to expand a box, how to manage infrastructure. Now it's data operations. Right now it's that that's the whole point of activity. Right to be in with is all right, if you are good enough and smart enoughto have the data sort of everything. What kind of matters? There you've gotta have the data and what can you up? What can you automate an orchestra from a data out perspective? Not from a box, not from a Let's scale out or scale up or something like that again, that's just a bigger bucket. It's a better bucket, but to be able to actually take data and say, You know what? I don't even know necessarily what I'm going to want to use this for, but I know that I gotta have. It's gotta be You have to be able to go click, click, click and get it. If if and when I figure out who I want to find out how lowering the price of Sharman and Seattle at a Wal Mart is going to affect my revenue or my supply chain or whatever. >> So one of the things I've talked with you in the past about is the pace of change of the industry. And, you know, I've said, you know, we know things are changing rather fast, but the average company, how much were they? Actually are they good at adopting change? And you've called me on stupid enterprises slow getting any faster, you know? Are they Are they open to change? Mohr. You know, what do you see in 2019? Is is it any different than it was in, You know, two thousand nine? >> That's a great question. So thie answer is yes, they're getting better. We are finally getting better. Problem, though, is a CZ industry insider watcher or a Boyar is ur is you see it and know what should happen 10 years. It takes 10 years in general for the world to actually catch upto the stuff that we're talking about. So it's not really that helpful to the poor schlub that's running on operation that build sneakers in Kansas, right? That's not really that helpful that we're talking about. This is what you could be doing and should be doing. The pace of change is much faster now because and give the em where most of the credit. Because once that went into place, all of the sudden and that you gotta remember there, everyone thinks vm where was an instant home run? It was 10 years of the same cold sitting in the corner in a queue, a environment before. Finally, we ran out of room in the data center, and that's the only reason they were able to come out. But once it was there, and it enabled you to stop associating the physical to the to the logical once, we could just just dis aggregate that stuff that I think opened up a tidal wave of kind of what else can we do? And people have adopted now. Now it's pervasive. So VM where's everywhere? Now? We're moving in the next level of kind of woman. Why can't I just build a containerized app that I can execute anywhere? No matter of fact, I don't even want it in my data center on. No one has to know that necessarily. So as modernization exercises have started to take off, they just they pick up, they actually pick up steam. So what we know empirically is those that are are halfway down. Call it the transformation or the modernization curve are going three times faster than those just starting. And those guys are going three times faster than the ones that are sitting there in idle doing stuff. The same >> city with the inertia going on. What do you make of this Bubblicious Back up market. Let's talk about that a little bit. You got these big install bases? The veritas, Conmebol, Delhi emcee, IBM, Tivoli install base. Everybody wants a piece of that action. Well, I guess cohesive rubric also want a piece of each other. Sure, which is kind of, you know, they get that urinary Olympics going on. I'd like to say And then you got these guys, which is kind of, you know, playing. Uh, I said to Ashleigh kind of East Coast, West Coast, There's no no, it's not East Coast, West Coast, but there's definitely more conservativism on this side of the of the flyover states. What's your take on what's going on in the landscape right now? >> So back up is awesome from the again, still probably the single most consistently line item budget thing for five decades. It's a guaranteed money in and out, and by and large it still sucks. My general rule is still it's crazy that we haven't been able to solve that particular problem. But regardless, the reason that it's so important is, besides the obvious. Yeah, you need to protect stuff, case. Something goes away and something bad happened good. But really, it's That's the inn. Just point for everything you do, you create data today. I'm backing it up on our later so that backup becomes the injust engine and it also is kicking off point. So at tapioca it started as wow, this is a better backup, most trap for lack of a better term. But really what? It was is didn't matter what with was back up or something else. It's I need tohave the data in order to do other stuff with it, and back up is just a natural, easiest way to be able to do that. So I think what's finally happening is we're moving from Christophe Would would say it's really about intelligence intelligence more so than just capturing those bits and being able to assemble and put it back together. It's understanding the context of those bits so that I can say stew in test. Dev has a different use case than Dave in whatever analytics, etcetera, etcetera. But they both need a copy of the exact scene data, the exact same state at the exact same point in time, etcetera. So if lungs backup's going to be kind of a tip of the spear in terms of going from what I will say, production or live data to the first copy, there's almost always back up. It's gonna matter. >> Christoph, Christoph Bertrand want your analyst? And so we saw, uh, c'mon, Danni Allen put a slideshow $15,000,000,000 tam and back up being a big chunk of that, probably half of it um, how does that jibe with your gut feel in terms of the opportunity beyond backup Dev ops? You know, I don't know. Ransomware insights. So you think that's low? High? Makes sense. >> I think I could justify the number. And what history has taught me is that it's probably low because we we're only talking about a handful of use cases that we've all glommed onto. But there will be remembered, like 11 years ago, there was no iPhone. You know what? How bad that changed. Everything that we do over there. And when did you know at some point during that particular journey, the phone became Who gives a shit about the phone? Excuse. But it's a text machine and it's an instagram thing, and it's a video production facility and all these other things, and the phone's almost dead. I only use it when my mom calls me kind of thing. So, you know, really, it's difficult to imagine. I certainly don't have the mental capabilities to imagine what the next 10 things after Dev Ops and this that and the other. But it's still all predicated on the same you got Somebody's gonna have a copy of that data and you're gonna be able to access it. You've got to be able to put it where you need it for whatever the reason again, a disaster is an important thing to recover from. But so is being ableto farm That data for nuggets of gold. >> Well, I guess I asked the question because, you know, it's a logical question is, is the market big enough to support all these companies that are in, You know, that gardener thing that they do? And I hope so because we love competition. >> I think I >> can answer it >> this way. Everything. Even the oldest guard Veritas, for God's sakes, 1000 years old, t sm 1000 years old con vault code base, 1000 years old. You're all big companies, right? And they're not perishing anytime soon. And I don't run. Love the startup Love the active FiOS or the cohesive sees coming in. But what they're really trying to do is not, you know, they might have started, as in a common ground, backup is a common warzone, but because there's money there like this consistent money there go get. But they soon turn in Teo other value propositions. And that's not is true with the incumbent back up guys because of their own legacy, right? It's hard to turn 1,000,000 year 1,000,000 lines of code into something. It wasn't designed, innit? >> Yeah, and it's not trivial to disrupt that base. But I guess if you get, you know, raising I don't know how much the industry is raised, but it's well over $1,000,000,000 now. I mean, activity has raised 200,000,000 and that's like chump change. Compared to some of the other races that you've seen. Cody City was to 60 and their last rubric was even, you know, crazy, crazy, even >> count the private money that beam God is that, you know, that was half 1,000,000,000 >> right? Well, that's a That's an off camera discussion. All right, we gotta go. So, Steve, thanks so much for for coming. Thank you. Great to >> have you. All right. All right, everybody. We'll be back with our next guest. You wanted the Cube from active field data driven from Boston, right on the harbor. Right back

>> live from Washington D. C. It's the Cube covering aws public sector summit DC brought to you by Amazon Web services. >> Welcome back, everyone to the cubes Live >> coverage of a ws public sector summit here in Washington D. C. I'm your >> host Rebecca Night, along with my co host, John >> Furrier. We're here with Cory Quinn, Cloud Economist The Duck Billed group and a cube host at large. Welcome. Welcome to our show. A medium >> at best, most days. But we'll see what happens when ever expanding. Someday I'll be a 10 x engineer, but not today. >> Right? Right. Exactly. >> Next host. Exactly. >> There we go, >> Cloud. Stand up on the side. We need to mention that >> Yes, generally more cloud improv. But no one believes that. It's off the cuff. So we smile, we nod, we roll with Tio. Yeah, no one wants to hear me sing in any form. >> I promise. Strapping So, Cory, you have been here. You are on the ground having great conversations with people here. 18,000 people at this summit Give us give our viewers a low down on the vibe. The energy What? What do you hear? Very different >> feeling in the commercial summits you're seeing. People are focusing on different parts of the story, and one thing I find amusing is talking to people who work in the public sector. Show up in their first response is, Oh, I'm so behind and then you go to the commercial summit. You talk to people who are doing bleeding edge things, and their response is, Oh, I'm so behind and everyone thinks that they're falling behind the curve and I'm >> not sure how >> much of that is a part of people just watching a technology. Events outpace them versus the ever increasing feature velocity. If they show on slide year over year over year, consistent growth and people feel like they're being left in the dust, it's it's overwhelming. It's drinking from a fire hose. And I don't think that that gets any easier when you're talking to someone in public sector where things generally move in longer planning cycles because they definitional have to, and I'd argue should, >> but you should help them, make them feel better and say, Don't worry. The private sector feels the same way. Not just everyone >> has these problems. That's that's the poor little challenge of this is everyone believes that if you go to the one magic company, their environment is going to be wonderful. They're adopting everything. It doesn't exist. I've gone into all of the typical tech companies you would expect and talk to people. And everyone wants you for three or four drinks into them, gets very honest and starts crying. What would its higher fire their own environment is? It says a lot of conference. We're going around. Here's how we built this amazing thing as a proof of concept is what the part they don't say or for this one small, constrained application. People are trying to solve business problems, not build perfect architecture. And that's okay. >> Yeah, process. They're not. They're not businesses, their agencies. As you said, they're like, slow as molasses when it comes to moving speed. And you could even see Andy Jazzy during his fireside Shep. He's already studying, laying the groundwork. Well, >> once you're in the >> cloud, here's how you know the adoption level so you can see that it's land not landing expand like the enterprise, which is still slow. It's land, get the adoption and then expand, So the public sector clearly has a lot of red tape. I mean, no doubt about it. >> That means anyone who'd argue that point >> chairman's like 1985. It's like, you know, hot tub time machine, you know, nightmare. But Andy Jazz, he also says on differently to heavy lifting is what they want to automate away. That's the dream. That's the That's the goal. Absolute. It's hard. This is the real challenge. Is getting the public sector adopted getting the adoption, your thoughts when what you're hearing people are they jumping in? They put a toe in the water, kicking the tires. As Andy said, >> all of the above and more. I think it's a very broad spectrum and they mentioned there. I think they were 28,000 or 12,000 non profit organizations that they wind up working with as customers and they all tend to have different velocities across the board as they go down that path. I think that the idea that there's one speed or you can even draw a quick to line summary of all the public sector is a bit of a Basile explanation. I see customers are sometimes constrained by planning cycles. There's always the policies and political aspects of things where if you wind up trying to speed things up, you're talking to some people who will not have a job. If you remove the undifferentiated heavy lifting because that's been their entire career, we're going to help you cut waste out of your budget. Well, that's a hard sell to someone who is incentivized based upon the size of the budget that they control it. You wind up with misaligned incentives, and it's a strange environment. But the same thing that I'm seeing across the corporate space is also happening in public sector. We're seeing people who are relatively concerned about where they're going to hire people from what those people look like, how they're going to transform their own organizations. Digital transformations, attired term. >> And it's like you have rosy colored glasses on too much. You're gonna miss the big picture. You gotta have a little bit of skepticism. I think to me governments always had that problem where I'm just gonna give up. I'm telling different. I can't get the outcome I want, because why even try? Right? I think now, with cloud what I hear Jazzy and Amazon saying is. Hey, at least you get some clear visibility on the first position of value, so there's some hope there, right? So I think that's why I'm seeing this adoption focus, because it's like they're getting the customers. For instance, like I'm a university. I could be a professor, but my credit card down my university customer, I got a couple instances of PC to so ding and another one to the 28,000 >> exactly number of customers is always a strange >> skeptical there. But now, for the first time, you, Khun got should go to a team saying, Hey, you know all that B s about not get the job done, you can get it with clouds. So it's gettable. Now it's attainable. It's not just aspirations. >> Movers really will make the difference. In the end, with the university customer's question, the people who were in that swing >> the tide can that be a generational shift, a deb ops mindset in government? That's a big question. >> Well, they have some advantages. For example, we took a look at all the Gulf cloud announcements and the keynote yesterday, and that must have been a super easy keynote to put together because they're just using the traditional Kino slides and reinvent 2014 because it takes time to get things certified as they moved through the entire pipeline process. And there's nothing inherently wrong with that. But the services that are going into come cloud or things that are tried and tested in a lot of other environments. There's an entire community out there. There's an established body of knowledge. So a lot of the path that government is walking down has already been from a technical perspective paid for them. >> I want to riff on an idea on to make a proposal with you here in real time. You're I think what we should do is make a proposal to the U. S. Government that we basically take equity in the agencies and then take them public. >> That's not a bad idea, absolutely not about commercialized. >> The entities create a stock option program, Cory, because listen, if I'm if I'm a talent, why would I gotta work for an agency when I could make three times Mohr get public and be rich, and that's the problem with talent. You walk around the expo for here. The booths are much smaller, and I didn't understand that at first, and then it clicked for me. If you want to sell services to government, you don't buy a bigger booth. You buy a Congress person and it turns out those air less expensive. That's how acquisitions tend to work in this space. So folks walking around or not, generally going to be the customers that buy things. People walking around in many cases are the talent and looking for more talent. And it does become extremely compelling to have those people leave public sector and go into private sector. In some cases where we'll pay you three times more and added bonus most days, this is America. After all, no one's shooting at you, so that does your >> cloud. Economists were kind of joking about your title, but if you think about it, there are economics involved. It's lower cost, faster, time to value. But what we're getting at is an incentive system. So you think fiscal monetary policy of incentives. So you know, Rebecca, this this This is the challenge that the policy guys gotta figure because the mechanisms to get stuff done is by the politicians or do this or do that. We're getting at something, really, to the heart of human beings, that mission of the mission of the agency or objective they're doing for the labor of love or money? Yes, Reed, why not create an incentive system that compensate? >> You think That's incentive system for taxpayers, though, too, in the sense of >> if I can see the trillions of dollars on the >> budget, a lot of what >> governments do shouldn't necessarily be for sale. I think the idea of citizen versus customer tends to be a very wide divergence, and I generally pushback on issues to attempt, I guess, convinced those into the same thing. It's you wind up with a very striated, almost an aristocracy Socratic society. >> I don't think that tends >> to lead anywhere. Good way. Everyone is getting political today for some reason. >> Well, I >> mean fireside chat to digital >> transformations. People process technology. You can superimpose that onto any environment where those public policy or whatever or national governments, the people, his issues there, processes, issues, technologies is each of one of them have their own challenge. Your thoughts on public sectors challenges opportunities. Four people process technology. >> You have to be mission driven for starters in order to get the people involved. As far as the processes go, there are inherently going to be limitations sometimes and easily observable in the form of different regulatory regimes that apply to these different workloads. And when we talk about the technology well, we're already seeing that that is becoming less of a gap over time. What used to be that o on ly we can secure a data center well enough from a physical security standpoint, there's a quote from the CIA that said on its worst day that cloud was cloud. Security was better than any on premises environment that they could build. And there's something to be said for that. Their economies of scale of like by >> the tech gaps going away. Almost zero yes. So if that OK, text, good check training fault of the people side. Absolute awareness competency processes a red tape automation opportunity. That could be. >> But this is also not to assume that the commercial world has unlock either. Where does the next generation come from? You talk to most senior cloud folks these days and most of us tend to have come up from working help desks being grumpy, you nexus in men's or you nexus movement because it's not like there's a second kind of those and we go up through a certain progression. Well, those jobs aren't there anymore. They've been automated away. The road that we walked is largely closed. Where does the next generation come from? I don't have a great answer. >> Talent question is a huge one. This is going to be the difference. Rebecca. We were riffing on this on our opening. >> It's the only one. >> Your thoughts. I mean, were you even hearing all this stuff and you've been researching this? What? Your thoughts. >> I think that we need to think more. I think tech companies need to think more broadly about where they're going to get this next generation of people, and they don't need to necessarily be people who have studied CS in school. Although, of course we need those people too. >> But the people with the bright, the creative, the expansive world views who are thinking about these problems and can learn >> the tech, I mean the tough guy, you know why >> block change you into a nice CEO and everyone gets >> rich, but I think when Jessie was saying today during his fireside, in the sense of we need to make sure that we're building tools, that >> you don't need to be a machine learning expert to deploy, you know we need to make simpler, more intuitive tools, and then that's really important here. >> Amazon does well in that environment about incentives. >> I think that >> one thing that the public sector offers that you don't often see in the venture start of world or corporate America or corporate anywhere, for that matter, is the ability to move beyond next quarter, planning the ability to look at long term projects like What >> does >> it take to wind up causing significant change across the world? Where is it take to build international space Station? You're not gonna be able to ship those things 180 days, no matter how efficiently you build things. And I think that the incentives and as you build them, have to start aligning with that. Otherwise you wind up with government trying to compete on compensation with the private sector. I don't think that works. I think you may have an opportunity to structure alignments around sentence in a very different life. >> It's an open item on the compensation. Until they agree, we'll watch. It was ideas. We'll see what tracks. But to me, in my opinion, what I think's gonna be killer for game game one here. This of this revolution is the people that come out of the woodwork because cloud attracts attract smart people and smart people are leaning into the government with cloud. It was the other way around before the cloud people, I don't want to get involved in government, and that was a big ding on government attracting qualified people. So I think Cloud is going to attract some smart people that want to help for the purpose and mission of whatever the outcome of that political or agency or government initiative with a cyber security there. People will care about this stuff who want the social equity not so much, >> Yeah, I think that's >> going to be a wild card. I think we're going to see like a new might in migration of talented people coming into quote assist government. That's a work for government to figure out how to be better at whatever the competition is and that is going to be I think the first lever of you start to see new names emerge. This person who just changed the organization over here become a hero Dev Ops mindset being applied to new environments. >> And we've seen that to some extent with the U. S. Digital service with 18 half where you have industry leaders from the commercial side moving into public sector and working in government for a time and then matriculating back into the public sector and the private sector, I think that there winds up being a lot of opportunity for more programs like that of scaling this stuff out >> and career change and career passer tissue. And there is this more fluid iti. As you're saying, >> I think that money isn't everything. You know. There's a lot of research that shows up to a certain threshold of income. You >> don't get that much happier. I don't know if Jeff >> basis is that much happier than us. I mean, >> we live in a little more bank and say, you know, >> you see the other side of it, too, is you build all these things together where you have okay. What? >> What is it >> that moves people? What do they care about. It's not just money, and I think that the old styled the old are very strict hierarchy within organizations where things are decided by tenure. Service is a bit of a problem if you have someone who works for. The EPA has been doing a deep dive cloud work for 10 years. There's nothing specific to the EPA about what that person has mastered. They shouldn't be able to laterally transition into the FDA, for example, >> Jackson Fireside Chat, Those interesting point about the fire phone that they talked about. And this is the transfer ability of skill sets and you getting at the thing that I will notice is that with Cloud attracts this interdisciplinary skill sets so you don't have to be just a coder. You khun, note how code works and be an architect, or you could be a change agent some somewhere else in an organization. So that's >> going to >> be interesting. That's not necessarily what how governments have always been siloed right? So can can these silos can these old ways of doing things. This is the question. This is why it's fun to cover this market. >> We're already >> seeing that in the public sector were being able to write code is rapidly transitioning into a very being very similar to I can speak French. Great. That's not a career in and of itself. That's a skill sad that unlocks of different right. A different career paths forward, but it doesn't wind up saving anything. It doesn't want a preserving its own modern aristocracy path forward or >> use the building an example. I don't have to learn how to pour concrete organ, right? The blueprints. Yes. So as we start getting into these systems conversations, you're going to start to see these different skill sets involved. Huge opportunity. If >> you're in >> school today and you're studying computer science, great learned something else, too, because the intersection between that and other spaces are where the knish opportunities are. That's the skill set of the future. That's where you're going to start seeing opportunities. Do not just succeed personally, but start to change the world. >> But Cory Great. Thanks for coming on and make an appearance and sharing what you found on the hallways. Good to see you. Coop con in Europe. Thanks for holding down the fort there. >> Of course I appreciate it. It was an absolute Bonner. >> Excellent. Great. Well, thank you so much. Thank >> you. I'm Rebecca Knight for John Furrier. Stay tuned. You are watching the Cube.

>> live from Washington, D. C. It's the Cube covering a ws public sector summit by Amazon Web services. >> Welcome back, everyone. You are watching the Cuban. We're kicking off our day two of our live coverage a ws public sector summit here in our nation's capital. I'm Rebecca Knight co hosting with John Fer Yer John. It's great to be here. 18,000 people having important conversations around around governments and cloud computing. Let's extract the signal from the noise. Let's do with the Cube. Does best, >> Yeah, I mean, this is to me a really exciting event because it's got the confluence of what we love tech and cloud computing and all the awesomeness of that and that enables. But even in Washington, D. C. With the backdrop against tech clash on this, you know, narrative run tech for illah tech for bad, bad check whatever you want to call it. Anti trust is a lot of narratives around that there's a huge story around check for good. So I think there's an interesting balance there around the conversations, but this is world of heavy hitters are this week You've got senior people at the government level here, you have senior tech people hear all kind of meddling and trying to figure out howto let the tail winds of cloud computing Dr Change within government against this backdrop of tech for ill as Jay Carney, whose the global marketing policy guy for Amazon on reports to Jeff Bezos, former Obama press secretary. He's super savvy on policy, super savvy on tech. But this is a really big point in time where the future's gonna be determined by some key people and some key decisions around the role of technology for society, for the citizens, United States, for nation states as people start to figure out the role of data and all the impact of this so super exciting at that level, but also dangerous and people are telling a little bit. But I also want to run hard. That's pretty much the big story. >> So let's let's let's get into this tech backlash because you're absolutely right. Through the public, sentiment about technology and the tech behemoths has really soured. The regulators are sharpening their blades and really paying much more attention, uh, particularly because so many people say, Hey, wait a minute, why? How does Google and Facebook know all this stuff about me, but what do you think? What are we hearing on the ground in terms of where regulation is going? Before, before the cameras were rolling, you were talking about this idea of regulators working closely with the innovators, observing but not meddling. I mean, do you think that that's that's That's these dollars underwears We're going in? >> Well, not really. I think that that's where people wanted to go in. I think right now the the surprise attack of tech taking over, if you will in the minds of people and or without Israel or not, it's happened, right? So I was talking yesterday around how the Internet, when Bill Clinton was president, really grew a little bit slower than the pace of this today. But they did a good job of managing that they had private sectors take over the domain name system. We saw that grow that created in the open Web and the Web was open. Today it's different. It's faster in terms of technology innovation, and it's not as open. You have Facebook, LinkedIn and these companies that have silos of data, and they're not sharing it with cyber security General Keith Alexander, former head of the NSA and the first commander of cyber command in the U. S. The United States under Obama. He pointed out that visibility into the cyber attacks aren't there because there's no sharing of data. We heard about open data and knishes from a think tank. The role of data and information is going to be a critical conversation, and I don't think the government officials are smart enough and educated enough yet to understand that So regulatory groups want to regulate they don't know how to. They're reaching out the Amazons, Google's and the Facebook to try to figure out what's going on. And then from there they might get a path. But they're still in the early stages. Amazon feels like they're not harming anyone there. Lower prices, fast delivery, more options. They're creating an enablement environment for tons of startups, so they feel like they're not harming anyone. You're the antitrust, but if they're going to being monopolizing the market place, that's another issue. But I still think Amazon still an enabling mode, and I think you know, they're just running so hard. It's going so fast, I think there's gonna be a big challenge. And if industry doesn't step up and partner with government, it's going to be a real mess. And I think it's just moving too fast. It's very complicated. Digital is nuanced. Now. You get the role of data all this place into into into effect there. >> Well, you're absolutely right that it's going fast. Teresa Carlson on the other day talking about eight of US growth, UH, 41% year over year and she said, Cloud is the new normal. The cloud cloud is here more and more governments on state and local, really recognizing and obviously international countries to recognize that this, this is they're adopting these cloud first approach is, >> yeah, I mean, I think the first approach is validated 100%. There's no debate. I think it's not an ah ha moment. Cloud Israel. Amazon has absolutely proven since the CIA deal in 2013 that this is a viable strategy for government to get to value fast, and that is the whole speed of cloud game. It's all about time to value with agility. Eccentric center. We've been talking about that with Dev Ops for a long, long time. The real thing that I think's happening that's going on. That's kind of, you know, to read the tea leaves and we'll hear from Corey Quinn. Our host at large will go on later. This is a new generation of talent coming on board and this new generation. It feels like a counterculture mindset. These are Dev ops, mindset, people not necessarily Dev ops like in the Cloud Computing Way. They're younger, they're thinking differently, and they think like Amazon not because they love Amazon, because that's their nature. Their got their getting content in a digital way, their digital natives. They're born into that kind of cultural mindset. Of what is all this nonsense red tape? What's the bottlenecked in solving these problems? There's really not a good answer anymore, because with cloud computing and machine learning an A I, you can solve things faster. So if you expose the data, smart people go well. That's a problem that could be song. Let's solve it. So I think there's going to be a resurgence is going to be a renaissance of of younger people, kind of in a counter culture way that's going to move fast and an impact society and I think it's gonna happen pretty quickly over the next 10 years. >> Well, that's one of the things that's so inspiring about being at a conference like this one a ws public sector summit, Because we are hearing getting back to what you just said. We're solving problems and these air problems about not just selling more widgets. This's actually about saving lives, helping people, delivery of healthcare, finding Mr Missing Persons and POWs who are missing in action. >> I mean, the problems could be solved with technology now for goodwill, I think will outweigh the technology for Ayla's Jay Carney calls it. So right now, unfortunately, was talking about Facebook and all this nonsense that happened with the elections. I think that's pretty visible. That's painful for people to kind of deal with. But in the reality that never should have happened, I think you're going to see a resurgence of people that's going to solve problems. And if you look at the software developer persona over the past 10 to 15 years, it went from hire. Some developers build a product ship it market. It makes some money to developers being the frontlines. Power players in software companies there on the front lines. They're making changes. They're moving fast, creating value. I see that kind of paradigm hitting normal people where they can impact change like a developer would foran application in society. I think you're gonna have younger people solving all kinds of crisis around. Whether it's open opioid crisis, healthcare, these problems will be solved. I think cloud computing with a I and machine learning and the role of data will be a big catalyst. >> But money, the money, the money is the thing we're going to have Cory Quinn on later talking about this this talent gap because there are people who are, As you said, they're young people who are motivated to solve these problems, and they want to work for mission driving institutions. What better mission, then helping the United States government >> just heard in the hallway? This has been the I've heard this multiple times here. This show I just heard someone saying Yeah, but that person's great. I can't keep them. What's happening is with the talent is the people that they need for cloud computing. Khun, get a job that pays three times Mohr orm or at the private sector. So, you know, Governor doesn't have stock options, >> right? All right, all right. If >> you're, ah, machine learning, >> people call girls in the lounge. >> Eso all kinds of different diners. But I think this mission driven culture of working for society for good might be that currency. That will be the equivalent stock option that I think is something that we were watching. Not haven't seen anything yet, But maybe that will happen. >> Paid in good feelings way. We've got a lot of great guests. Wave already teed up. We've got your E. Quinn. Bill Britain from Cal Poly to talk more about ground station. We have alien Gemma Smith of YSL Itics, uh, and Jameel Jaffer. >> Think ground station. But the biggest surprise for me and the show so far has been ground station that that product has got so much traction. That's ridiculous. I thought it would be kind of cool. Spacey. I like it, but it's turning into a critical need for a I ot I mean, I was just talking with you. Came on about the airplane having WiFi on the plane. We all like Wow, we expected now, but you go back years ago is like, Oh, my God. I got WiFi on the plane. That's a ground station, like dynamic people going. Oh, my God. I can provision satellite and get data back, all for io ti anywhere in the world. So that is pretty killer. >> Excellently. I'm looking forward to digging in with you with many guests today. >> Good. >> I'm Rebecca Knight. For John. For your stay tuned, you are watching the Cube.

>> Live from San Diego, California It's the queue covering Sisqo Live US 2019 Tio by Cisco and its ecosystem barkers. >> Welcome back. It's the Cube here at Cisco Live, San Diego 2019 times. Two minute My co host is Day Volante. First, I want to welcome back custom dos Katie, who is the vice president. Product management with Cisco Compute. We talked with him a lot about Piper Flex anywhere in Barcelona. Wanna welcome to the program of first time guests Laura Crone, who's the vice president of sales and marketing group in NSG sales and marketing at Intel. Laura, thanks so much for joining us, All right, So since Katie has been our program, let let's start with you. You know, we know, you know. We've watched, you know, Cisco UCS and that compute, you know, since it rolled out for about a decade ago. Now on DH, you know Intel always up on stage with Cisco talking about the latest enhancements everywhere I go this year, people are talking about obtained and how technologies like envy me are baking in tow. The environment storage class memories, you know, coming there. So you know, let's start with kind of intel. What's happening in your world and you know your activities. Francisco live >> great. So I'm glad to hear you've heard a lot about octane because I have some marketing of my organization. So obtain is the first new memory architecture er in over 25 years. And it is different than Nanda, right? It is you, Khun, right? Data to the silicon that is programs faster and has greater endurance. So when you think of obtain its fast like D ram But it's persistent, like nay on three D now. And it has some industry leading combinations of capabilities such a cz high throughput, high endurance, high quality of service and low latent see. And for a storage device, what could be better than having fast performance and hi consistency. Oh, >> Laura's you say? Yeah, but 25 years since this move. You know, I remember when I when I started working with Dave, it was, you know, how do we get out of you know, the horrible, scuzzy stack is what we had lived on for decades there. And finally, Now it feels like we're coming through the clearing and there is just going to be wave after wave of new technologies that air free to get us high performance low latent c on the like. >> Yeah, And I think the other big part of that which is part of Cisco's hyper flex all in Vienna, is the envy me standards. So, you know, we've lived in a world of legacy satya controllers, which created a lot of bottlenecks and the performance Now that the industry is moving toe envy me, that even opens up it. Mohr And so, as we were developing, obtain, we knew we had Teo go move the industry to a new protocol. Otherwise, that pairing was not going to be very successful. >> Alright, so Katie all envy me, tell more. >> So we come here and we talk about all the cool innovations we do within the company. And then sometimes you come here and we talk about all the cool innovation we do with our partners, our technology partner, that intel being a fantastic technology partner, obviously being the server business, you've got a partner with intel on. We've really going away that across the walls ofthe two organizations to bring, uh, just do to life, right? So Cisco 80 I hyper flex is one of the products >> we >> talked about in the past. Hyper Flex, all in Miami that uses Intel's obtain technology is, well, it's Intel's three demand all envy me devices to power really the fastest workloads that customers want to put on this device. So you talked about free envy me. Pricing is getting to a point where it becomes that much more accessible to youth, ese for powering databases for par like those those work clothes required that leyton see characteristics and acquire those I ops on DH. That's what we've enabled with Cisco Hyper Flex collaborating with Intel of Envy Me portfolio. >> Remember when I started in the business, somebody was sharing with me to educate me on the head? A pyramid? Think of the period is a storage hierarchy. And at the top of it, was it actually an Intel solid state device, which back then was not It was volatile, right? So you had to put, you know, backup power supplies on it. Uh, so but any rate and then with all this memory architecture coming and flash towards people have been saying, well, it's going to flatten that pyramid. But now, with obtain. You're seeing the reemergence of that periods of that pyramid. So help us understand, sort of where it fits from a supplier standpoint and a no yam and ultimate customer. Because if I understand it, so obtain is faster than NAND, but it's going to be more expensive, but it's slower than D Ram, but it's cheaper, right? So where does it fit? What, the use cases? Where does it fit in that hierarchy? Maybe. >> Yeah. So if you think about the hierarchy at the very top is D RAM, which is going to be your fastest lowest Leighton see product. But right below that is obtained. Persistent memory, the dims and you get greater density because that's one of the challenges with the Ram is they're not dense enough, nor are they affordable enough, right? And so you get that creates a new tear in the store tire curry. Go below that and you have obtain assist ease, which bring even mohr density. So we go up to a 1.5 terabyte in a obtain sst, uh, and you that now get performance for your storage and memory expansion. Then you have three Dean and and then even below that, you have three thing and Q l c, which gives you cost effective, high density capacity. And then below that is the old fashioned hard disk drive. And then magnet. Yeah, you start inserting all these tears that give architects and both hardware and software an opportunity. Teo rethink how they wantto do storage. >> So the demand for this granularity obviously coming from your your buyers, your direct bars and your customers. So what does it do for you and specifically your customers? >> Yeah. So the name of the game is performance and the ability to have in a land where things are not very predictable, the ability to support any thing that the your end customers may throw at you if you're a 90 department. That may mean a bur internal of, uh, data scientist team are traditional architect off a traditional application. Now, what Intel and Cisco can do together is truly unique because we control all parts of the stack, everything from the sober itself to the to the storage devices to the distributed file system that sits on top ofit. So, for example, in Etienne, hyper flecks were using obtain as a cashing here on because we write the distributed file system. We can speak in a balance between what we put in the cash in care how it moved out data to the non cashing 3 90 year, as as Intel came out with their latest processors that support memory class torched last memory. We support that now we can engineer this whole system and to end so that we can deliver to customers the innovation that Intel is bringing to the table in a way that's consumable by their, uh, one more thing I'll throw out there. So technology is great, but it needs to be resilient because I D departments will occasionally yank out the wrong wire. They are barely yank out the wrong drive. One of the things that we work together with Intel What? How do we court rise into this? How to be with reliability, availability, serviceability? How do we prevent against accidental removal or accidental insertion on DH? Some of those go innovations have let Teo asked, getting out in the market a hyper flecked system that uses these technologies in a way that's really usable by teens in our customs. I'd >> love to double click on that in the context of envy. Envy? What you guys were talking about, You mentioned horrible storage deck. I think he called it the horrible, scuzzy stack. And Laura, you were talking about the You know, the cheap and deep now is a spinning disk. So my understanding is that you've got a lot of overhead in the traditional scuzzy protocol, but nobody ever noticed because you had this mechanical device. Now, with flash storage, it all becomes exposed. And VM e allows just a like a bat phone. Right? Okay, so correct me where I got that wrong, But maybe you could give us the perspective. You know what? Why Envy Emmy is important from your standpoint. And how are you guys using it? >> Yeah, I think envy and me is just a much faster protocol. And you're absolutely right. We have a graph that we show of the old world and how much overhead there is all the way down to when you have obtained in a dim solution with no overhead octane assist. E still has a tiny bit, but there's a graph that shows all of that Leyton C is removed when you deploy, obtain so envy me gives you much greater band with right. The CPU is not bottlenecked, and you get greater CPU efficiency when you have a faster interface like and >> and like hyper flexes taking advantage of this house. Oh, >> yeah? Let me give you a couple of examples. So anything performance, the first thing that comes to mind is databases. So for those kinds of workloads, this system gets about 25% better performance. Next thing that comes to mind is people really don't know what they're gonna put on the system. So sometimes they put databases, sometimes put mixed workloads. So when we look at mixed workloads way get about 65% or so better I ops, we get 37% better lately sees. So even in a mixed I opened Wyman wherever have databases you may have a Web theory may have other things. This thing is definite resilient to handle the workload. So it's it just opens up the splatter abuse cases. >> So any other questions I had was specific to obtain. D ram has consumer applications, as does Flash Anand was obtained. Have similar consumer applications can achieve that volume so that the prices, you can come down, not free, but continue to sort of drive the curves. >> Eso When we look at the overall tam, we see the tam growing out over time. I don't know exactly when it crosses. Over the volume are the bits of the ram, but we absolutely see it growing over time. And as a technology ramps, it'll have a you know, it costs ramping curves. Well, >> it'll follow that curve. Okay, good. >> Yeah, Just Katie. Give us a little bit. Broad view of hyper flex here. Att? The show, people, you know, play any labs with the brand new obtained pieces or what? What other highlights that you and the team have this week? >> Yeah, absolutely. So in in Barcelona, we talked about high, perfect for all that is live today. So in the show floor, people can look at the hyper flex at the edge combined with S t one. How do you control How did deploy thousands of edge locations from a centralized location to the part of the inner side which cloud based management too? So that whole experience is unable. Now, at the other end of the spectrum is how do we drive even more performance. So we were always, always the performance leader. Now we're comparing ourselves to ourselves to behavior 35% better than our previous all flash. With the innovation Intel is bringing to the table, some of the other pieces are actually use cases. So there's a big hospital chain where my kids go toe goto, get treated and look and see the doctor. There are lots of medical use cases which require epic the medical software company to power it, whether it is the end terminals or it is the back and database. So that epic hyperspace and happy cachet those have been out be invalidated on hyper flex, using the technology that we just talked about around update on doll in via me that can get me there is that much more power. That means that when my my doctor and the nurse pulls off, the records don't show up fast. But all the medical records, all of those other high performance seeking applications also run that much more streamlined, so I would encourage people little water solution. We've got a tremendous set off demos out there to go up there and check us out >> and there's a great white paper out on this, right? That e g s >> e g is made one of the a company that I've seen benchmarking Ah, a hyper flex. >> So whatever Elaborate where they do a lab report or >> it's what they do is they bench around different hyper converge infrastructure vendors. So they did this first time around and they and they said, Well, we could pack that much more We EMS on a on a hyper flex with rotating drives. And then they did it again And I said, Well, now that you got all flash Well, deacon, you got now the performance and the ladies see leadership and then they did it again and they said, Well, hang on, you you've kind of left the competition that does that. That's not going to make a pretty chart to show when we compare your all in Miami against your hyper so many. When you get that good, you compare against yourselves. We've been the performance theater on the estate has been doing the >> data obtained. The next generation added up, >> and this is what a database workload. OK, nowyou bringing obtain a little toast to the latest report >> has that measures >> measures obtain against are all flash report and then also ship or measure across vendors. So >> where can I get this? Is at some party or website or >> it's off all of this. All of this is off off the Cisco Hyper Flex website on artist go dot com. But F is the companies that want to go directly to their about getting a more >> I guess final final question for you is you know, I think back the early is ucs. It was the memory enhancements that they had that allowed the dentist virtual ization in the industry back when it started. It sounds like we're just taking that to the next level with this next generation of solutions. What what else would you out about? The relationship with Cisco and Intel? >> Eso, Intel and Cisco worked together for years right innovation around the CPU and the platform, and it's super exciting to be expanding our relationship to storage. And I'm even more excited that the Cisco hyper flex solution is endorsing Intel obtain and three thing and and we're seeing great examples of really use workloads where are in customers can benefit from this technology. >> Katie Laura. Thanks so much for the update. Congratulations on the progress that you've made so far for David Dante on Student, and we'll be back with more coverage here. It's just go live 2019 in San Diego. Thanks for watching the cue >> theme.

>> from our studios in the heart of Silicon Valley. HOLLOWAY ALTO, California It is a cube conversation. >> Welcome to this Special Cube conversation here in Palo Alto, California at the Cube Studios at the Cube headquarters. I'm John for the host, like you were a Dustin Kirkland product manager and Google friend of the Cuban. The community with Cooper Netease been on the Cube Cube alumni. Dustin. Welcome to the Cube conversation. >> Thanks. John's a beautiful studio. I've never been in the studio and on the show floor a few times, but this is This is fun. >> Great to have you on a great opportunity to chat about Cooper Netease yet of what you do out some product man's working Google. But really more importantly on this conversation is about the fifth anniversary, the birthday of Cuba Netease. Today we're celebrating the fifth birthday of Cooper Netease. Still, it's still a >> toddler, absolutely still growing. You think about how you know Lennox has been around for a long time. Open stack has been around these other big projects that have been around for, you know, going on decades and Lenox this case and Cooper nineties. It's going so fast, but It's only five years old, you know. >> You know, I remember Adam Open Stack event in Seattle many, many years ago. That was six years ago. Pubes on his 10th year. So many of these look backs moments. This is one of them. I was having a beer with Lou Tucker. J J Kiss Matic was like one of the first comes at the time didn't make it, But we were talking about open stagger like this Cooper Netease thing. This is really hot. This paper, this initiative this could really be the abstraction layer to kind of bring all this cloud Native wasn't part of the time, but it was like more of an open stack. Try and move up to stack. And it turned out it ended up happening. Cooper Netease then went on to change the landscape of what containers did. Dr. Got a lot of credit for pioneering that got the big VC funding became a unicorn, and then containers kind of went into a different direction because of Cooper duties. >> Very much so. I mean, the modernization of software infrastructure has been coming for a long time, and Cooper nutty sort of brings it all brings it all together at this point, but putting software into a container. We've been doing that different forest for for a lot of time, uh, for a long time, but But once you have a lot of containers, what do you do with that? Right? And that was the problem that Cooper Nettie solved so eloquently and has, you know, now for a couple of years, and it just keeps getting better. >> You know, you mentioned modernization. Let's talk about that because I think the modernization the theme is now pretty much prevalent in every vertical. I'll be in D. C. Next week for the Amazon Webster was public sector Summit, where modernization of governments and nations are being discussed. Education, modernization of it. We've seen it here. The media business that were participating in is about not where you store the code. It's how you code. How you build is a mindset shift. This has been the rial revelation around the Dev Ops Movement Infrastructures Code, now called Cloud Native. Share your thoughts on this modernization mindset because it really is how you build. >> Yeah, I think the cross pollination actually across industries and we even we see that even just in the word containers, right and all the imagery around shipping and shipping containers, we've applied these age old concepts that have been I don't have perfected but certainly optimized over decades of, actually centuries or millennia of moving things across water in containers. Right. But we apply that to software and boom. We have the step function difference in the way that we we manage and we orchestrated and administer code. That's one example of that cross pollination, and now you're talking about, like optimizing optimized governments or economies but being able to maybe then apply other concepts that we've come a long way in computer science do de bop set a good example? You know, applying Dev ops principles to non computer feels. Just think about that for a second. >> It's mind blowing. And if you think about also the step function you mentioned because I think this actually changed a lot of the entrepreneurial landscape as well and also has shaped open source and, you know, big news this this quarter is map are going to shut down due one of the biggest do players. Cloudera merge with Horton Works fired their CEO, the founder Michael. So has retired, Some say forced out. I don't think so. I think it's more of his time. I'm Rodel still there. Open source is a business model, you know. Can we be the red hat for her? Duped the red? Not really kind of the viable, but it's evolving. So open source has been impacted by this step function. There's a business impact. Talk about the dynamics with step function both on the business side and on how software's built specifically open source. >> You know, you and I have been around open source for a long, long time. I think it started when I was in college in the late nineties on then through my career at IBM. And it's It's interesting how on the fringe open source was for so long and such so so much of my BM career. And then early time spent onside it at Red Hat. It was it was something that was it was different, was weird. It was. It was very much fringe where the right uh, but now it's in mainstream and it's everywhere, and it's so mainstream that it's almost the defacto standard to just start with open source. But you know, there's some other news that's been happening lately that she didn't bring up. But it's a really touchy aspect of open source right now on that's on some of the licenses and how those licenses get applied by software, especially databases. When offered as a service in the cloud. That's one of the big problems. I think that that's that we're we're working within the open >> source, summarize the news and what it means. What's what's happening? What's the news and what's the really business? Our technical impact to the licensing? What's the issue? What's the core issue? >> Yeah, eso without taking judgment any any way, shape or form on this, the the the TL D are on. This is a number of open source database is most recently cockroach D. B. I have adopted a different licensing model that is nonstandard from an open source perspective. Uh, and from one perspective, they're they're adopting these different licensing models because other vendors can take that software and offered as a service, yes, and in some some cases, like Amazon like Sure, you said, uh, and offered as a as a service, uh, and maybe contribute. Maybe pay money to the smaller startup or the open source community behind it. But not necessarily. Uh, and it's in some ways is quite threatening to open source communities and open source companies on other cases, quite empowering. And it's going to be interesting to see how that plays out. The tension between open sourcing software and eventually making money off of it is something that we've we've seen for, you know, at least 25. >> And it continues to go on today, and this is, to me a real fascinating area that I think is going to be super important to keep an eye on because you want to encourage contribution and openness. Att the same time we look at the scale of just the Lenox foundations numbers. It's pretty massive in terms of now, the open source contribution. When you factor in even China and other nations, it's it's on exponential growth, right? So is it just open source? Is the model not necessarily a business? Yeah. So this is the big question. No one knows. >> I think we crossed that. And open source is the model. Um, and this is where me is a product manager. That's worked around open source. I've spent a lot of time thinking about how to create commercial offerings around open source. I spent 10 years at Economical, the first half of which, as an engineer, the second half of which, as a product manager around, uh, about building services, commercial services around 12 And I learned quite a few things that now apply absolutely to communities as well as to a number of open source startups. That that I've advised on DH kind of given them some perspective on maybe some successful and unsuccessful ways to monetize that that opens. >> Okay, so doesn't talk about Let's get back to Coburg. And so I think this is the next level Talk track is as Cooper Netease has established itself and landed in the industry and has adoption. It's now an expansion votes the land adopted expand. We've seen adoption. Now it's an expansion mode. Where does it go from here? Because you look at the tale signs things like service meshes server. Listen, you get some interesting trends that going to support this expansionary stage of uber netease. What is your view about the next expansion everyway what >> comes next? Yeah, I I think I think the next stage is really about democratizing communities for workloads that you know. It's quite obvious where when communities is the right answer at the scale of a Google or a Twitter or Netflix or, you know, some of these massive services that it is obviously and clearly the best answer to orchestrating containers. Now I think the next question is, how does that same thing that works at that massive scale Also worked for me as a developer at a very small scale helped me develop my software. My small team of five or 10 people. Do I need a coup? Burnett. He's If I'm ah five or 10 person startup. Well, I mean, not the original sort of borde vision of communities. It's probably overkill, but actually the tooling has really advanced, and we now >> have >> communities that makes sense on very small scales. You've got things like a three s from from Rancher. You've got micro Kates from from my colleagues at economical other ways of making shrinking communities down to something that fits, perhaps on devices perhaps at the edge, beyond just the traditional data center and into remote locations that need to deploy manage applications >> on the Cooper Netease clustering the some of the tech side. You know, we've seen some great tech trends as mentioned in Claudia Horton. Works and map Our Let's Take Claudia and Horton work. Remember back in the old days when it was booming? Oh, they were so proud to talk about their clusters. I stood up all these clusters and then I would ask them, Well, what do you doing with it? Well, we're storing data. I think so. That became kind of this use case where standing up the cluster was the use case and they're like, OK, now let's put some data in it. It's a question for you is Coburn. Eddie's a little bit different. I'm not seeing they were seeing real use cases. What are people standing up? Cuban is clusters for what specific Besides the same Besides saying I've done it. Yeah, What's the what's the main use case that you're seeing this that has real value? >> Yeah, actually, there's you just jog t mind of really funny memory. You know, back in those big data days, I was CEO of a startup. We were encrypting data, and we were helping encrypt healthcare data for health care companies and the number of health care companies that I worked with at that time who said they had a big data problem and they had all of I don't know, 33 terabytes worth of worth of data that they needed to encrypt. It was kind of humorous sometimes like, Is that really a big, big data problem? This fits on a single disc, you know, Uh, but yeah, I mean, it's interesting how >> that the hype of of the tech was preceding. The reality needs needs, says Cooper Nettie. So I have a Cuban Eddie's cluster for blank. Fill in the blank. What are people saying? >> Yeah, uh, it's It's largely about the modernization. So I need to modernize my infrastructure. I'm going to adopt the platform. That's probably not, er, the old er job, a Web WebSphere type platform or something like that. I'm investing in hardware investing in Software Middle, where I'm investing in people, and I want all of those things to line up with where industry is going from a software perspective, and that's where Cooper Nighties is sort of the cornerstone piece of that Lennox Of course, that's That's pretty well established >> canoes delivery in an integration piece of is that the pipeline in was, that was the fit on the low hanging fruit use cases of Cooper Netease just development >> process. Or it's the operations it's the operations of now got software that I need to deploy across multiple versions, perhaps multiple sites. Uh, I need to handle that upgrade ideally without downtime in a way that you said service mash in a way that meshes together makes sense. I've got a roll out new certificates I need to address the security, vulnerability, thes air, all the things that Cooper and I used to such a better job at then, what people were doing previously, which was a whole lot of four loops, shell strips and sshh pushing, uh, pushing tar balls around. Maybe Debs or rpm's around. That is what Cooper not he's actually really solves and does an elegant job of solving as just a starting point. And that's just the beginning and, you know, without getting ve injury here, you know, Anthros is the thing that we had at Google have built around Cooper Netease that brings it to enterprise >> here the other day did a tweet. I called Anthem. I just typing too fast. I got a lot of crap on Twitter for that mission. And those multi cloud has been a big part of where Cubans seems to fit. You mentioned some of the licensing changes. Cloud has been a great resource for a lot of the new Web scale applications from all kinds of companies. Now, with several issues seeing a lot more than capabilities, how do you see the next shift with data State coming in? Because God stateless date and you got state full data. Yeah, this has become a conversation point. >> Yeah, I think Kelsey Hightower has said it pretty eloquently, as he usually does around the sort of the serval ist movement and lets lets developers focus on just their code and literally just their code, perhaps even just their function in just their piece of code, without having to be an expert on all of the turtles all the way, all the way down. That's the big difference about service have having written a couple of those functions. I can I can really invest my time on the couple of 100 lines of code that matter and not choosing a destro choosing a cougar Nati is choosing, you know, all the stack underneath. I simply choose the platform where I'm gonna drop that that function, compile it, uploaded and then riff and rub. On that >> fifth anniversary, Cooper Netease were riffing on Cooper Netease. Dustin Circle here inside the Cube Cube Alumni you were recently at the coop con in overseas in Europe, Barcelona, Barcelona, great city. Keeps been there many times. Do was there covering for us. Couldn't make this trip, Unfortunately, had a couple daughter's graduating, so I didn't make the trip. Sorry, guys. Um, what was the summary? What was the takeaway? Was the big walk away from that event? What synthesized? The main stories were the most important stories being >> told. >> Big news, big observations. >> It was a huge event to start with. It was that fear of Barcelona. Um, didn't take over the whole space. But I've been there a number of times from Mobile World Congress. But, you know, this is this is cube con in the same building that hosts all of mobile world Congress. So I think 8,000 attendees was what we saw. It's quite celebratory. You know, I think we were doing some some pre fifth birthday bash celebrations, Key takeaways, hybrid hybrid, Cloud, multi Cloud. I think that's the world that we've evolved into. You know, there was a lot of tension. I think in the early days about must stay on. Prem must go to the cloud. Everything's there's gonna be a winner and a loser and everything's gonna go one direction or another. I think the chips have fallen, and it's pretty obvious now that the world will exist in a very hybrid, multi cloud state. Ultimately, there's gonna be some stuff on Prem that doesn't move. There's going to be some stuff better hosted in one arm or public clouds. That's the multi cloud aspect, Uh, and there will be stubborn stuff at the edge and remote locations and vehicles on oil rigs at restaurants and stores and >> so forth. What's most exciting from a trans statement? What do you what? What's what's getting you excited from what you see on the landscape out there? >> So the tying all of that to Cooper Netease, Cuban aunties, is the thing that basically normalizes all of that. You write your application put it in a container and expect to communities to be there to scale that toe. Operate that top grade that to migrate that over time. From that perspective, Cooper nineties has really ticked, ticked all the boxes, and you've got a lot of choices now about which companies here, you're going to use it and where >> beyond communities, a lot of variety of projects coop flow, you got service messes out there a lot of difference. Project. What's What's a dark horse? What's something that sets out there that people should be paying attention to? That you see emerging? That's notable. That should be paying attention. To >> think is a combination of two things. One is pretty obvious, and that's a ML is coming like a freight train and is sort of the next layer of excitement. I think after Cooper, Netease becomes boring, which hopefully if we've done our jobs well, that communities layer gets settled and we'll evolve. But the sort of the hockey stick hopefully settles down and it becomes something super stable. Uh, the application of machine learning to create artificial intelligence conclusions, trends from things that is sort of the next big trend on then I would say another one If you really want the dark horse. I think it's around communications. And I think it's around the difference in the way that we communicate with one another across all forms of media voice, video chat, writing, how we interact with people, how we interact with our our tools with our software and in fact, how our software in Iraq's with us in our software acts with with other software that communications industry is, it's ripe for some pretty radical disruption. And you know some of the organizations and they're doing that. It's early early days on those >> changes. Final point you mentioned earlier in our conversation here about how Dev Ops is influencing impacting non tech and computer science. Really? What did you mean by that? >> Uh, well, I think you brought up unexpectedly and that that you were looking at the way Uh, some other industries are changing, and I think that cross pollination is actually quite quite powerful when you take and apply a skill and expertise you have outside of your industry. But it adds something new and interesting, too, to your professional environment. That's where you get these provocative operations. He's really creative, innovative things that you know. No one really saw it coming. >> Dave Ops principles apply to other disciplines. Yeah, agility. That's that's pointing down waterfall based processes. That's >> one phenomenal example. Imagine that for governments, right to remove some of the like the pain that you and I know. I've got to go and renew my license. My birthday's coming up. I gotta go to renew my driver's license. You know much. I'm dreading going to the the DMV Root >> Canal driver's license on the same. Exactly >> how waterfall is that experience. And could we could we beam or Mohr Agile More Dev Autopsy and some of our government across >> the U. S. Government's procurement practices airbase upon 1990 standards they still want Request a manual, a physical manual for every product violent? Who does that? >> I know that there are organizations trying to apply some open source principles to government. But I mean, think about, you know, just democracy and how being a little bit more open and transparent in the way that we are in open source code, the ability to accept patches. I have a side project, a passion for brewing beer and I love applying open source practices to the industry of brewing. And that's an example of where use professional work, Tio. Compliment a hobby. >> All right, we got to bring some cubic private label, some Q beer. >> If you like sour beer, I'm in the sour beer. >> That's okay. We like to get the pus for us. Final question for you. Five years from now, Cooper needs to be 10 years old. What's the world gonna look like when we wake up five years from now with two Cuban aunties? >> Yeah, I think, uh, I don't think we're struggling with the Cooper nutties. Uh, the community's layer. At that point, I think that's settled science, inasmuch as Lennox is pretty settled. Science, Yes, there's a release, and it comes out with incremental features and bug fixes. I think Cuban aunties is settled. Science management of of those containers is pretty well settled. Uh, five years from now, I think we end up with software, some software that that's writing software. And I don't quite mean that in the way That sounds scary, uh, and that we're eliminating developers, but I think we're creating Mohr powerful, more robust software that actually creates that that software and that's all built on top of the really strong, robust systems we have underneath >> automation to take the heavy lifting. But the human creation still keeping one of the >> humans Aaron the look it's were We're many decades away from humans being out of the loop on creative processes. >> Dustin Kirkland, he a product manager of Google Uh, Cooper Netease guru also keep alumni here in the studio talking about the coup. Burnett. He's 50 year anniversary. Of course, the kid was president creation during the beginning of the wave of communities. We love the trend we love Cloud would left home a tec. I'm Sean for here in Palo Alto. Thanks for watching.

>> from our studios in the heart of Silicon Valley. HOLLOWAY ALTO, California It is a cube conversation. >> Hi, Welcome to the Cube Studios. From the Cube conversation, we go in depth with thought leaders driving innovation across the tech industry. I'm today's host. Beauty burst. One of the biggest challenges at every enterprise faces, especially those that are considering a serious move to the cloud, goes way beyond any questions about compute. Wait beyond any questions about storage. Perhaps the most important question will be, What do I do with my network? How does my network transform? How does my security profile transform in response to a movement to the cloud? Now there are a lot of reasons why, but one of the chief wants the cod really isn't a strategy for centralising your I t and your applications in your data, it's better thought of his cloud from more broadly distributing that function, getting it close to the action. Where is going to generate the most value? Big challenge for enterprise is in tow. Have that conversation. We've got Matt Carter, who's the CEO of Ari, aka >> not welcome to the Cube. >> Thanks for having me >> so before we get into this important question. Give us the update on Hari, aka >> So recently we were got investment. Goldman Sachs, Siri's F $50,000,000 that capital is going to really be deployed towards helping us to expand our global footprint, put money into marketing more sales. People build out processes internally as a company. So we're well capitalized and a really great position to take advantage of the enormous growth that we see in this space. >> So I mentioned upfront this notion that the cloud is a strategy for distributing your work and with controls and with certainty and with greater security, perhaps even more so than it should be thought of as a way of centralizing things that's puts enormous pressure on networks. What are you hearing from your customers as they think about some of these challenges? >> Well, one of the big challenges for a lot of our customers is complexity. Many of them have worked with a number of different providers to be able to stitch together a reliable, secure network. What makes Hari Aku is so differentiated is that we're able to manage that as one single source provider. We have a global network. We have a secure network, and so we make it easy. We take out the complexity for our customers and even more importantly, what we also do. We help out customers to accelerate their digital transformation. Many of them are going through various stages of digital transformation, able to do that by work with one single provide, like Harry, AKA who could help accelerate that in state for them much faster than others in the marketplace today. >> So you're trying to remove the network from the transformational or from the from the side of uncertainty when we start talking about digital transformation. But what is the Ariake, the Ariake Network? This this notion that you have a full stack from the actual network all the way up to the software to find services? What's the How does that manifest itself as different apologies or different approaches to your customers? >> Yes, so think of it this way, Peter. So for a customer to put together a holistic network, they're different component pot. So one component part is to say, last smile. So being able to get that circuitry broadband circuitry someplace around the world, they have to deal with a number of different vendors around that we were able to be the single source provided provided for the customers. Secondly, they have to then figure how to connect to the cloud. And they're working with a number of different telco providers to help them to stitch together that piece again. We have our own global pops around the world were able to provide the local the last mile, plus that sort of middle stage there for the customer as one single source provider. So again, complexity is the thing that's actually driving a lot of the challenges for our customers. Way able to sort of do that as one single source provided for our customers. >> But it sounds like you're also in a position to say we can reduce complexity, but we can also increase the flexibility that the network has. So I was talking with large customer large client earlier this week on one of the things that they observed is they're trying to reduce the amount of traffic disassociate with back haul back to the corporate network before close to some sass provider. How our customers ultimately starting to rethink how they direct traffic because a good, solid foundation like Ari AKA should allow you greater flexibility and how you target traffic to different circuits at different times based on location, application, data and identity. >> Yeah, so part of the thing that what customers are also to build upon that face with this is that what type of traffic works works best on what network, right? And so if you're dealing with a variety of different networks, it creates a lot of monitoring. Ah, lot of flexibility and lack of reliability for the customer. So with us again, we're able to provide them insight to application performance and use a state performance because it's all one single network, and we've become, quite frankly, an early detector. If there are problems with particular types of applications, were able to inform the customer of that and make the appropriate changes to allow for much more seamless, reliable application experience for our customers. >> So let's talk about specifically how you're helping customers. Today was one of the offers that you have and some of the approach that you have to engage in them. So one of the challenges within any large organization is to get the groupings of individuals to agree on what the problem is in the direction to take, the more shared the resources, the Mohr people participating in the conversation. Let's be honest. Is nothing more shared in an organization today than a network? How are you seeing your customers succeed? And sometimes, you know, fall victim to the challenges of tryingto build that unity around how to move forward? >> Yeah, that's a really great question. So what we have found this that it's not a single decision maker any longer in eh? In a minute with the customer. There are the lists, a willing dealing with the CTO to CEO. He or she has a constituency who have a say around the types of applications or networking that we're using to deploy that those applications. So what we have found that Ari, aka that the approach we have to take is that we have to be really good, if you will. Diplomats knowing how to go into a customer really working partner with the various constituencies, getting them in a room, making sure that they understand and help them to sort of see the end state vision and a lot of ways part of what we're trying to do with the CEO of CTO is how do we become a really good partner for them to help them help their constituents season? So what we call it our reactors no innovate grow. The no part of what we dio is actually one of the most important component parts of how we go to market. What is the problem? How does his problem impact? You know, the various constituencies inside that customer and their and their customers. So getting dimensional, dimensional izing that problem makes you were bringing the right people to the table is a really putting competency that we have, you know, manifested overtime to help that organization become successful. The thing that's important for us, we've us houses an enabler, and so you just don't see you know you enable you. You have to really work with the customer and really understand the problem that they're faced with. How do we enable the customer to really understand Dimensional is the problem and figure out how our solution helps that customer solve that problem or take advantage of that opportunity. So we call in no innovate crowd that no pa, it's really important that innovates not just invention It's really about making sure we're able to position and Taylor our solution set to the needs of the customer and grow the grow pot is really all about our customers. Success. Did we help them to become successful? Whatever that objective is. Opening up offices in China and getting their sales team productive up and running quickly. Tow, monetize, opportunity, stare. Whatever those growth objectives are, how do we help them to become successful? So everything we do is a line to the customs success, so no innovate grow. It's a real part of how we go to market. To serve the customer is comprehensive. Um, it's time consuming, but we feel is differentiating because we're not just selling you a, um you know, sort of a solution, so to speak. What was really selling you is is a a way to solve a problem or take advantage of that opportunity is a different sort of the mention of how we go to market with the others. >> So talk we'll talk a bit about how that is translating into customer success directly. You got a good product. Sounds could get a good love to go to market strategy. Really love the emphasis on on innovate. Which will you look at is how do you get your customers to successfully adopt time to value reduced uncertainty, Deeper integration? Mohr Embedded nous How is that translating success toes a little bit about how you're seeing? Are his customers be able to do things differently as a result >> so that the two pasta de so the first pot is the existing customers? So let's start with the fact that most of the existing customers who came to us came to us because they had a particular problem someplace around the world. So let us say we way. We've been able to get sort of a few sort of site locations with them. They like what they see when they come back to says, Hey, you know, you solve this problem here. Can you help us solve this problem over here? And then over time we may be able to expand, increase share. I'm with the existing customers. The second thing that we've done is that I've always said to the team, since I've been in the company with the best kept secret out there, that people don't realize that we offer this sort of into end man its service. And our customers know our customs have been good evangelist and helping us to bring in more customers. But as biggest, the market opportunity is not enough people know who we are. So part of what we're doing now, Peter is really elevating brand present. You know, if you're gonna be a company that's moving up the stack and if you're a CEO who's gonna outsource this decision, that's your connectivity. To accompany Ari aka you need to know that the person sitting across the table from you understands me gets me has thie empathy, right, sensitivities of the problems that we're dealing with, So great deal of what we're now doing is, you know, I brought in a new team. Folks have been near done that folks who've sold to these folks over the years who understand those customers problems, so elevating out brand, bringing the right level of competency into the organization and really send them make out brand muchmore wear around how we help our customers solve these problems. So a little bit of this marketing, you know, in sales. But the main thing >> is, it's just that >> we're now in a position where we need to really hone in on getting up brand much more elevated. So people understand how we solve their >> problems, engagement across entire life cycle, it's and service to success. So where is s so we could kind of see you are a good, fast growth company on the market. That's, I think, is going to become increasingly hot as people start to realize the role that network transformations going to play in this whole thing. Um, how do you see Orry, aka being a force say, in 23 years, I c e o you got to be thinking about >> well, you know, constant thinking about that. So for us, it's really, um, continue to add more innovation to our platform and a big part of that innovation. You nose around security as you're starting to, its more things going to the cloud. People want to know that isjust a secure platform. We have a very secure platform today, but we'll continue to innovate and add more layers to that. So that's one piece. The second piece is is too, you know, continue to invents, elevate our brand out into the marketplace. So we got a show about the places that give people. It's that this is a company that's going to be around for a while. That has sustainability, etcetera, so elevated and really, you know, we have a guy on our team, Ash Watt, who really is a pioneer in this space around the technology and where it's going having more thought, leadership, showing up at the right sort of conferences, making sure that we are framing and helping toe lead the thoughts around, you know, S T win and how it plays a role in the marketplace >> making that no consumable >> making that no consumable. That's exactly that's exactly right. So I think for us it's really the continuation of maturing and growing as a company. You know, we've been a Silicon Valley start up company. We've operated as a Silicon Valley start up company, but now where we are and given the complexities of managing a network right is that we have to now come across to our customers that where a company that is here for the long haul that that we have taken into account off the precautions all the necessary building blocks. Tobe able to deploy, secure global network today. We do that. Not enough people know about that. We need to continue to enhance that message healthy. >> Well, every company has its challenges, and every company has its go forward. But I could tell you, certainly our clients speak well of Ariake. So, Matt Carter, Thanks very much for being on the Cube. >> Thank you, >> Andi. Once again, we've been >> talking about Carter, CEO of Ari, aka >> Thanks for joining us for another cube conversation on Universe. See you next time.

>> from our studios in the heart of Silicon Valley. HOLLOWAY ALTO, California It is a cube conversation. >> Hi! And welcome to the Cube studios from the Cube conversation, where we go in depth with thought leaders driving innovation across the tech industry on hosted a Peter Burress. What are we talking about today? One of the key indicators of success and additional business is how fast you can translate your data into new value streams. That means sharing it better, accelerating the rate at which you're running those models, making it dramatically easier to administrate large volumes of data at scale with a lot of different uses. That's a significant challenge. Is going to require a rethinking of how we manage many of those data assets and how we utilize him. Notto have that conversation. We're here with Le'Ron v. Bell, who was the CEO of work a Iot leering. Welcome back to the Cube. >> Thank you very much for having >> me. So before we get to the kind of a big problem, give us an update. What's going on at work a Iot these days? >> So very recently we announced around CIA financing for the company. Another 31.7 a $1,000,000 we've actually had a very unorthodox way of raising thiss round. Instead of going to the traditional VC lead round, we actually went to our business partners and joined forces with them into building a stronger where Collier for customers we started with and video that has seen a lot of success going with us to their customers. Because when Abel and Video to deploy more G pews so they're customers can either solve bigger problems or solve their problems faster. The second pillar off the data center is networking. So we've had melon ox investing in the company because there are the leader ofthe fast NETWORKINGS. So between and Vidia, melon, ox and work are yo u have very strong pillars. Iran compute network and storage performance is crucial, but it's not the only thing customers care about, so customers need extremely fast access to their data. But they're also accumulating and keeping and storing tremendous amount of it. So we've actually had the whole hard drive industry investing in us, with Sigi and Western Digital both investing in the company and finally one off a very successful go to market partner, Hewlett Pocket enterprise invested in us throw their Pathfinder program. So we're showing tremendous back from the industry, supporting our vision off, enabling next generation performance, two applications and the ability to scale to any workload >> graduations. And it's good money. But it's also smart money that has a lot of operational elements and just repeat it. It's a melon ox, our video video, H P E C Gate and Western Digital eso. It's It's an interesting group, but it's a group that will absolutely sustain and further your drive to try to solve some of these key data Orient problems. But let's talk about what some of those key day or data oriented problems where I set up front that one of the challenges that any business that has that generates a lot of it's value out of digital assets is how fast and how easily and with what kind of fidelity can I reuse and process and move those data assets? How are how is the industry attending? How's that working in the industry today, and where do you think we're going? >> So that's part on So businesses today, through different kind of workloads, need toe access, tremendous amount of data extremely quickly, and the question of how they're going to compare to their cohort is actually based on how quickly and how well they can go through the data and process it. And that's what we're solving for our customers. And we're now looking into several applications where speed and performance. On the one hand, I have to go hand in hand with extreme scale. So we see great success in machine learning, where in videos in we're going after Life Sciences, where the genomic models, the cryo here microscopy the computational chemistry all are now accelerated. And for the pharmacy, because for the research interested to actually get to conclusion, they serve to sift through a lot of data. We are working extremely well at financial analytics, either for the banks, for the hedge funds for the quantitative trading Cos. Because we allow them to go through data much, much quicker. Actually, only last week I had the grades to rate the customer where we were able to change the amount of time they go through one analytic cycle from almost two hours, four minutes. >> This is in a financial analytics >> Exactly. And I think last time I was here was telling you about one of their turn was driving companies using us taking, uh, time to I poke another their single up from two weeks to four hours. So we see consistent 122 orders of monk to speed time in wall clock. So we're not just showing we're faster for a benchmark. We're showing our customer that by leveraging our technology, they get results significantly faster. We're also successful in engineering around chip designed soft rebuild fluid dynamics. We've announced Melon ox as an idiot customer. The chip designed customers, so they're not only a partner, they have brought our technology in house, and they're leveraging us for the next chips. And recently we've also discovered that we are great help for running Noah scale databases in the clouds running ah sparkles plank or Cassandra over work. A Iot is more than twice faster than running over the Standard MPs elected elastic clock services. >> All right, so let's talk about this because your solving problems that really only recently have been within range of some of the technology, but we still see some struggling. The way I described it is that storage for a long time was focused on persisting data transactions executed. Make sure you persisted Now is moved to these life life sciences, machine learning, genomics, those types of outpatients of five workloads we're talking about. How can I share data? How can I deploy and use data faster? But the historian of the storage industry still predicated on this designs were mainly focused on persistent. You think about block storage and filers and whatnot. How is Wecker Io advancing that knowledge that technology space of, you know, reorganizing are rethinking storage for the types, performance and scale that some of these use cases require. >> This is actually a great question. We actually started the company. We We had a long legacy at IBM. We now have no Andy from, uh, metta, uh, kind of prints from the emcee. We see what happens. Page be current storage portfolio for the large Players are very big and very convoluted, and we've decided when we're starting to come see that we're solving it. So our aim is to solve all the little issues storage has had for the last four decades. So if you look at what customers used today, if they need the out most performance they go to direct attached. This's what fusion I awards a violin memory today, these air Envy me devices. The downside is that data is cannot be sure, but it cannot even be backed up. If a server goes away, you're done. Then if customers had to have some way of managing the data they bought Block san, and then they deployed the volume to a server and run still a local file system over that it wasn't as performance as the Daz. But at least you could back it up. You can manage it some. What has happened over the last 15 years, customers realized more. Moore's law has ended, so upscaling stopped working and people have to go out scaling. And now it means that they have to share data to stop to solve their problems. >> More perils more >> probably them out ofthe Mohr servers. More computers have to share data to actually being able to solve the problem, and for a while customers were able to use the traditional filers like Aneta. For this, kill a pilot like an eyes alone or the traditional parlor file system like the GP affair spectrum scale or luster, but these were significantly slower than sand and block or direct attached. Also, they could never scale matter data. You were limited about how many files that can put in a single, uh, directory, and you were limited by hot spots into that meta data. And to solve that, some customers moved to an object storage. It was a lot harder to work with. Performance was unimpressive. You had to rewrite our application, but at least he could scale what were doing at work a Iot. We're reconfiguring the storage market. We're creating a storage solution that's actually not part of any of these for categories that the industry has, uh, become used to. So we are fasted and direct attached, they say is some people hear it that their mind blows off were faster, the direct attached, whereas resilient and durable as San, we provide the semantics off shirt file, so it's perfect your ability and where as Kayla Bill for capacity and matter data as an object storage >> so performance and scale, plus administrative control and simplicity exactly alright. So because that's kind of what you just went through is those four things now now is we think about this. So the solution needs to be borrow from the best of these, but in a way that allows to be applied to work clothes that feature very, very large amounts of data but typically organized as smaller files requiring an enormous amount of parallelism on a lot of change. Because that's a big part of their hot spot with metadata is that you're constantly re shuffling things. So going forward, how does this how does the work I owe solution generally hit that hot spot And specifically, how are you going to apply these partnerships that you just put together on the investment toe actually come to market even faster and more successfully? >> All right, so these are actually two questions. True, the technology that we have eyes the only one that paralyzed Io in a perfect way and also meditate on the perfect way >> to strangers >> and sustains it parla Liz, um, buy load balancing. So for a CZ, we talked about the hot sport some customers have, or we also run natively in the cloud. You may get a noisy neighbor, so if you aren't employing constant load balancing alongside the extreme parallelism, you're going to be bound to a bottleneck, and we're the only solution that actually couples the ability to break each operation to a lot of small ones and make sure it distributed work to the re sources that are available. Doing that allows us to provide the tremendous performance at tremendous scale, so that answers the technology question >> without breaking or without without introducing unbelievable complexity in the administration. >> It's actually makes everything simpler because looking, for example, in the ER our town was driving example. Um, the reason they were able to break down from two weeks to four hours is that before us they had to copy data from their objects, George to a filer. But the father wasn't fast enough, so they also had to copy the data from the filer to a local file system. And these copies are what has added so much complexity into the workflow and made it so slow because when you copy, you don't compute >> and loss of fidelity along the way right? OK, so how is this money and these partnerships going to translate into accelerated ionization? >> So we are leveraging some off the funds for Mohr Engineering coming up with more features supporting Mohr enterprise applications were gonna leverage some of the funds for doing marketing. And we're actually spending on marketing programs with thes five good partners within video with melon ox with sick it with Western Digital and with Hewlett Packard Enterprise. But we're also deploying joint sales motion. So we're now plugged into in video and plugged, anted to melon ox and plugging booked the Western Digital and to Hillary Pocket Enterprise so we can leverage their internal resource now that they have realized through their business units and the investment arm that we make sense that we can actually go and serve their customers more effectively and better. >> Well, well, Kaio is introduced A road through the unique on new technology into makes perfect sense. But it is unique and it's relatively new, and sometimes enterprises might go well. That's a little bit too immature for me, but if the problem than it solves is that valuable will bite the bullet. But even more importantly, a partnership line up like this has got to be ameliorating some of the concerns that your fearing from the marketplace >> definitely so when and video tells the customers Hey, we have tested it in our laps. Where in Hewlett Packard Enterprise? Till the customer, not only we have tested it in our lab, but the support is going to come out of point. Next. Thes customers now have the ability to keep buying from their trusted partners. But get the intellectual property off a nor company with better, uh, intellectual property abilities another great benefit that comes to us. We are 100% channel lead company. We are not doing direct sales and working with these partners, we actually have their channel plans open to us so we can go together and we can implement Go to Market Strategy is together with they're partners that already know howto work with them. And we're just enabling and answering the technical of technical questions, talking about the roadmap, talking about how to deploy. But the whole ecosystem keeps running in the fishing way it already runs, so we don't have to go and reinvent the whales on how how we interact with these partners. Obviously, we also interact with them directly. >> You could focus on solving the problem exactly great. Alright, so once again, thanks for joining us for another cube conversation. Le'Ron zero ofwork I Oh, it's been great talking to you again in the Cube. >> Thank you very much. I always enjoy coming over here >> on Peter Burress until next time.

>> from San Matteo. It's the Cube covering Scaler. Innovation Day. Brought to You by Scaler >> The Run Welcome to this special on the Ground Innovation Day. I'm John for a host of The Cube. We're here at scale. His headquarters in San Mateo, California Hardest Silicon Valley. But here the cofounder and CEO Steve, It's Irwin Ski and Jeff Low product marketing director. Thanks for having us. Thanks for having us. Thank you. But a great day so far talked Teo, the other co founders and team here. Great product opportunity. You guys been around for a couple of years, Got a lot of customers, Uh, just newly minted funded syriza and standard startup terms. That seems early, but you guys are far along, you guys, A unique architecture. What's so unique about the architecture? >> Well, thinks there's really three elements of the architecture's designed that I would highlight that differentiates us from our competitors. Three things that really set us apart. I think the biggest the 1st 1 is our use of a common our database. This is what allows us to provide a really superior search experience even though we're not using keyword indexing. Its purpose built for this problem domain and just provides us with great performance in scale. The second thing I would highlight would be the use of well, essentially were a cloud native solution. We have been architected in such a way that we can leverage the great advantage of cloud the scale, ability that cloud gives you the theological city. That cloud gives you andare. Architecture was built from the ground up to leverage that, uh and finally I would point out the way that we do our data. Um, the way that we don't silo data by data type, essentially any type of observe ability, data, whether it's logs or tracing or metrics. All that data comes into this great platform that we were in that provides a really great superior query performance over, >> and we talked earlier about Discover ability. I want to just quickly ask you about the keyword indexing and the cloud native. To me, that seems to be a two big pieces because a lot of the older all current standards people who are state of the art few years ago, 10 years ago, keyword index thing was a big part of it, and cloud native was still emerging except for those folks that were born the clouds. So >> this is a dynamic. How important is that? Oh, it's It's just critical. I mean, here, when we go to the white board, I love to talk about this in a little more detail in particular. So let's let's talk about keyword indexing, right? Because you're right. This is a lot of the technology that people leverage right now. It's what all of our competitors do in keyword indexing. Let's let's look at this from the point of view of a log ingestion pipeline. So in your first stage, you have your input, right? You've got your raw logs coming in. The first thing you do after that typically is parse. You're goingto parse out whatever fields you want from your logs. Now, all of our competitors, after they do that, they do in indexing step. Okay, this has a lot of expense to it. In fact, I'm going to dig into that after the log content is index. It's finally available for search. Where will be returned as a search result. Okay, this one little box, this little index box actually has a lot of costs associated with it. It contributes to the bloat of storage. It contributes to the cost of the overall product. In fact, that's why I love our competitors. Charge you based on how much you're indexing now, even how much you're ingesting. When you look at the cost for indexing, I think you can break it down into a few different categories. First of all, building the index. There's certain costs with just taking this data, building the index and storing it. Computational storage, memory, everything okay, But you build the index in order to get superior query performance, Right? So that kind of tells you that you're going to have another cost. You're going tohave an optimization cost. Where the index is that you're building are dependent on the queries that your users want to conduct, right, because you're trying to make sure you get as good of query performance as possible. So you have to take a look at the career. Is that your user performing the types of logs that you're coming in and you have to decide what indexing that you want to do? Okay. And that cost is shouldered by the burden of the customers. Um, okay, but nothing static in this world. So at some point your logs are going to change. The type of logs here in Justin is going to change. Maybe your query is goingto change. And so you have another category of costs, which is maintenance, right? You're going to have to react to changes in your infrastructure. It's used the type of logs you're ingesting, and basically, this is just creates a whole big loop where you have to keep an eye on your performance. You have to be constantly optimizing, maintaining and just going around in the circle. Right? And for us, we just thought that was ridiculous because all this costs is being born by the customer. And so when we designed the system, we just wanted to get rid of that. >> That's the classic shark fin. You see a fin on anything great whites going to eat you up or iceberg. You see that tip you don't see what's underneath? This seems to be the key problem, because the trend is more data. New data micro services gonna throw off new data type so that types is going up a CZ. Well, that's what that does that consistent with what you got just >> that's consistent. I mean, what we hear from our customers is they want flexibility, right? These are customers that are building service oriented, highly scalable applications on top of new infrastructure. They're reacting to changes everywhere, so they want to be able to not have to, you know, optimize their careers. They're not goingto want to maintain things. They just want to search product that works. That works over everything that they're ingesting. >> So, good plan. You eliminate that fly wheel of cost right for the index. But you guys, you were proprietary columnist, Or that's the key on >> your That's a Chiana and flexibility on data types. Yes, it does. And here, let me draw a little something to kind of highlight that because, you know, of course, it's a it begs the question. Okay, we're not doing keyword indexing. What do you do? What we do actually is leverage decades of research and distribute systems on commoner databases, and I'll use an example on or two >> People know that the data is, well, that's super fast, like a It's like a Ferrari. >> Yes, it's a fryer because you're able to do much more targeted essentially analysis on the data that you want to be searching over, right? And one way to look at this is, uh, no, Let's take a look at ah, Web access lock. Okay. And when we think about this and tables, we think that each line in the table represents, ah, particular entry from the access log. Right. And your columns represent what fields you've extracted. So for example, one the fields you might extract is thie HP status code. You know, Was it, um, a success or not? Right. Or you might have the your eye, or you might have the user agent of the incoming web request. Okay. Now, if you're not using a commoner database approach to execute a quarry where you're trying to count the number of non two hundreds that you've your Web server has responded with, you'd have to load in all the data for this >> table, right? >> And that's just its overkill in a commoner database. Essentially, what you do is you organize your data such that each column essentially has saved as a separate file. So if I'm doing a search where I just want to count the number of non two hundreds. I just have to read in these bites. And when your main bottleneck, it's sloshing bites in and out of Main Ram. This just gives you orders of magnitude better performance. And we've just built this optimize engine that does essentially this at its core and doesn't really well, really fast leveraging commoner database technology. >> So it lowers the overhead. You have to love the whole table in. That's going to take time. Clearing the table is going to take time. That seems to be the update. That's exactly right. Awesome, right? Okay. All right, Jeff. So you're the director of product marketing. So you got a genius pool of co founders here? Scaler. Been there, done that ball have successful track records as tech entrepreneurs, Not their first rodeo, making it all work. Getting it packaged for customers is the challenge that you guys have you been successful at it? What does it all mean? >> Yeah, it essentially means helping them explore and discover their data a lot more effectively than they happen before, you know, With applications and infrastructure becoming much more complex, much more distributed, our engineering customers are finding it increasingly difficult to find answers And so all of this technology that we've built is specifically designed to help him do that at much greater speed, Much greater ease, much more affordably and at scale. We always like to say we're fast, easy, affordable, at scale. >> You know, I noticed in getting to know you guys and interviewing people around around company. The tagline built by engineers for engineers is interesting. One. You guys are all super nerdy and geeky, so you get attacked and you take pride in the tech in the code. But also, your buyers are also engineers because they're dealing with cloud Native Wholenother Dev ops, level of scale where they love scale people in that market love infrastructures code. This is kind of the ethos of that market, but speed scale is what they live for, and that's their competitive advantage in most cases. How do you hit that point there? What's the alignment with the customers on scale and speed? >> Yeah, you know, with the couple of things that Stephen had mentioned, you know, the columnar database on DH, he mentioned cloud native. We like to refer to that as massively parallel or true multi tendency in the cloud those 11 two things give us really to key advantages when it comes to speed. So speed on in just that goes back to what Steven was talking about with the column. In our database, we're not having a weight to build the index so weakening unjust orders of magnitude faster than traditional solutions. So whereas a conventional solution might taking minutes even up to hours to ingest large sets of data, we can literally do it in seconds. It's the data's available immediately for used in research. One of our customers, in fact, that I'm thinking of down Australia actually uses our live tail because it actually works and as they push code out to production that can actually monitor what happens and see if the changes are impacting anything positively or negatively >> and speed two truths, a tagline the marking people came up with, which is cool. I love that kind of our fallouts. We have to get the content out there and get that let the people decide. But in your business, ingestion is critical. Getting the ingestion to value time frame nailed down is table stakes. People engineers want to test stuff. It doesn't work out of the box we ingest and they don't see value. They're not gonna kind of be within next levels. Kind of a psychology of the customer. >> Yeah, You know, when you're pushing code, you know, on an hourly basis, sometimes even minutes now, the last thing you want to do is wait for your data to analyse it, especially when a problem occurs. When a problem occurs and it's impacting a customer or impacting your overall business. You immediately go into firefighting mode, and you just can't wait to have that data become available so that speed to ingest becomes critical. You don't want to wait. The other aspect on the speed topic is B to search. So we talked about the types of searches that are calling. Our database affords us a couple that, within massively parallel and true multi tendency approach, basically means that you could do very, very ad hoc searches extremely quickly. You don't have to bill the keyword index. You don't have to have two, even build a query or learn how to build queries on DH, then run and then wait for it. And maybe in the meantime, wait to get a coffee or something like that. >> I mean, we grew up in Google search. Everyone who's exactly the Web knows what searches and discoveries kind the industry word in discovering navigation. But one of the things about searches about that made Google say Greg was relevance. You guys seem to have that same ethos around data discover, ability, speed and relevance. Talk about the relevance piece, because I think that, to me is what is everyone's trying to figure out as more data comes in? You mentioned some of the advantages Steven around, you know, complexity around data types. You know, Maur data types are coming on, so Relevance sees, is what everyone's chasing. >> So one of >> the things that I think we are very good at is helping people discover what is relevant. There are solutions out there. In fact, there's a lot of solutions out there that will focus on summarizing data, letting you easily monitor with a set of metrics, or even trace a single transaction from point A to point B through a set of services. Those are great for telling you that there is a problem or that problem exist. Maybe in this one service, this one server. But where we really shine is understanding why something has happened. Why a problem has occurred. And the ability to explore and discover through your data is what helps us get to that relevancy. >> Ameren meeting Larry and Sergey back into 1998. And you know, from day one it's fine. What you looking for him? And they did their thing. So I want to just quickly have you guys explain it. I think one thing that also has come up love to get your take on it, guys, is multi tendency urine in the clouds to get a lot of scale. We're out of resource talk about the debt. Why multi tendency is an important piece and what does that specifically mean? But the customer visa be potentially competitive solutions. And what do you guys bring for the tables? That seems to be an important discussion Point >> sure know. And it is one of the key piece of our architecture. I mean, when we talk about being designed for the cloud, this is a central part of that right? When you look at our competitors, for the most part, a lot of them have taken existing open the source off the shelf technologies and kind of taking that and shoved it into this, you know, square hole of, you know, let's run in the cloud, right? And so they're building. These SAS services were essentially they pretend like everyone's got access to a lot. Resource is but under the covers there, sitting there, spinning up thes open source solutions. Instances for each of the customers each of these instances are on ly provisioned with enough ramsi pew for that customer's needs, right? And so heaven forbid you try to issue more crews than you normally do or try to use Mohr you know, storage than you normally do, because your instance will just be capped out, right? Um, and also it's kind of inefficient in that when your users aren't issue inquiries, those CPU and RAM researchers are just sitting there idle instead, what we've done is we've built a system where we essentially have a big pool of resource is we have a big pool of CPU, a big pool of ram, a big pool of disc. Everyone comes in, get access to that, so it doesn't matter what customer you are. Your queries get full access to all these si pues that we have run around right? And that's that's the core of multi tendency is that we're able to not provision for just one look for each individual customer. But we have a big pool of resource is that everyone gets the >> land that's gonna hit the availability question on. And it's also have a side effect for all those app developers who want to build a I and stuff used data and build these micro services systems. >> They're going to get >> the benefit because you have that closed loop. Are you fly? Will, if you will. >> Yeah, yeah, the fight could just add the multi tendency really gives us a lot of economies of scale, both from, you know, the over provisioning and the ability to really effectively use resources. We also have the ability to pass those savings on to our customers. So there's that affordability piece that I think is extremely important. Find answers, this architectural force that >> Stephen I want to ask you because, you know, I know the devil's work pretty well. People are they're hard core, you know. They build their own stuff. They don't want us, have a vendor. Kuo. I can do this myself. There's always comes up there. But this use cases here. You guys seem to be doing well in that environment again. Engineering led solution, which I think gives you guys a great advantage. But what's the How do you handle the objection when you hear someone say, Well, I could do it. Just go do it myself. >> What I always like to point at is, yes, you can up to a decree, right? We often hear people that use open source technologies like elk. They can get that running and they can run it up to a certain scale like a you know, tens of gigabytes per day of logs. They're fine, right? But with those technologies, once it goes above a certain scale, it just becomes a lot more difficult to run. It's one those classic things you know, getting 50% of the way. There is easy getting 80% of the way. There is a lot harder. Getting 100% is almost impossible, right? And you, as whatever company that that that you're doing whatever product you're building, do you really want to spend your engineer? Resource is pushing through that curve, getting 80%. 100% of kind of good, a great solution. No, what we always pitches like Look, we've always solve these problems. These hard problems for this problem, too may come and leverage our technology. You don't have to spend your engineering capital on that. >> And then the people who are doing that scale that you guys provide, they want, they need those engineering resource is somewhere else. So I have to ask, you just basically followed question. Which is how does the customer know whether they have a non scaleable for scaleable solution? Because some of these SAS services air masquerading as scaleable solutions. >> No, they are. I mean, we we actually encourage our customers when they're in the pre sale stage to benchmark against us. We have ah customer right now that sending us terabytes of data per day as a trial just to show that we can meet the scale that they need. We encourage those same customers to go off and ask the other competitors to do that. And, you know, the proof is in the pudding. >> And how's the results look good? Yeah. So bring on the ingest Yes, that's that's That's the sales pitch. Yes, guys, thanks so much for sharing the inside. Even. Appreciate it, Jeff. Thanks for sharing. Appreciate it. I'm John for the Cube. Here for a special innovation Days scales >> headquarters in the heart of >> Silicon Valley's sent Matteo California. Thanks for watching.

>> live from Las Vegas. It's the queue covering Inform Attica! World 2019. Brought to you by in from Attica. >> Welcome back, everyone to the cubes. Coverage of Infra Matic. A world here in Las Vegas. I'm your host, Rebecca Knight. I'm doing by two guests. For the segment we have Rick Tam Daniels. He is the VP. Strategic ecosystems and technology than from Attica. Welcome, Rick and Yoav. Enough! He is the VP product for Giga Space. Welcome >> to be here. >> So this is a fun segment. You are the winner of the infirm Attica World 2,019 Solution Expo Cloud and Innovation. I want to get to you in a second and hear all about Giga Space. But I want to start with you. Rick, talk a little bit about this award and about the genesis of it. Where did the idea come from? >> Yes, So one of the things we really wanted to do it in from Attica World this year is create address Some of the most important topics that the customers want to hear about. It's a cloud and I two of the hottest tops the industry every wants to know about it and We wanted to take a lot of our emerging partners there doing some very innovative things than from Attica technology and put them front center. So if you look at the Expo Hall floor right in the middle, we have this almost like an art gallery of all this cool innovation have going on around the inn from Attica. Technology on the idea was that we had attendees come in and actually review the solutions. They had to be really full demos for working demos. Andi could vote on the app. They could say what their favorites were, and the end result is happy announced. Giga Spaces are big winner. >> And so yeah, attendees would vote on the app and so get so big a space. Tell us about it. You're based in Israel. >> Yeah, so aren't is based in Israel or H Q is in New York. Basically, the biggest bass was we've been in the market for more than a decade, deployed like in the largest enterprise in the world. You like banks like Bank of America, like international. I ot like another electric largest airline, largest railway companies, and basically we provide the speed for the application and big data infer structures so they deploy, like real time use cases like fraud detection, economic pricing, predictive maintenance, all those different types of services that required the speed on the big data side. >> You're all about speed, >> all about spirit. If you need the speed, we're the provided for you. >> Well, that's that's very exciting. So talk a little bit about the conversations that you were having with some of the attendees. What kinds of questions were you getting? >> So I think a lot of customers, during customers of ours and informative are talking about the move from kind of historical analysis to more proactive, event driven analytics when you want to be able to instead of interact with the data you want today, one so and now you want to baby toe Dr Analytical on the moment as soon as it happened to provide it that burrito Theron your online processes and instead of kind of offline processes. So, for example, fraud detection, which is the most, is the example. You want to be able to 100 further analysis on on the payment of a soon as it happens and Emilie second level and not like a few seconds after the transaction was over. So it's again. We're talking about the speed. They're very to handle high or amount of data with related sub second response time. >> And how are you using in from Attica? >> Cool So well, We've been working lately with Informatica very tightly with both their product team, and there are in the team because Israel, India, the US, on integrating with some of their different products were basically we've built kind of what Gardner calls the digital integration hub. It's like the next Jan big data architecture, which provides you both. Informatica side that allows to ingest any type of data could be taxed logs, transaction payments, anything you have together with their medal, the meta data management and on top of it, using Giga spaces for the real Time analytics and the high performance in speed. >> So, Rick, I know that this was attendee chosen, so there's no rigging here, but I'd love to hear what your thoughts are in Giga Space in terms of the innovations that they're doing in these in these very important problems, like fraud detection and predictive maintenance, these air these air big problems. That company's heir really wrestling with. >> And I think what's exciting about the solution they had. It was a great business case, right? I think that really resonated. Attendees looking at Everyone can identify with Fraud Analytics. Everyone's unfortunately, probably on a victim of it, so they could see how it works. I think it also focuses on the aspect of a iva. How do operationalized a I? So is the whole model building piece of it, And Infra Matic has a strong player there as well. But now you say, Well, let's actually have the model we need to execute quickly. How do we do that? You know what the biggest spaces technology, but also combine it with the right historical context, right to make the right decisions. So they're really does hit on. How do you actually take a I and make it a real thing? >> And the other important part is the business case in what you were just saying in terms of if a if a customer is the victim of fraud here, she blames the institution, not the hacker on. And if there's a problem with with an airline maintenance problem, you blame the airline. Of course not the faulty problems that it was having. So so I think that that also really shows what what's in the future. What are you seeing? Kind of Mohr innovations that you want to add to the biggest space platform. So >> I think we're working to their lot about like Rick was mentioning about operationalize ing A. I so a lot of challenge today off moving from the research development training part of Day I or the machine anymore to move to production. Let's say you're a payment provider you have the more than you can detect fraud, but your ability for you to run it on millions of transactions a second in a sub lets a few millisecond level. That's the biggest challenge. And if you do it in there a few seconds after the transaction was over, then the you know the last of the fraud or the wire was already happened. So again, the operation was part of taking your more than formula that sound flat from putting in production with the scale of the ingestion rate low latest c you know, scaling on pick events like Black Friday or Cyber Monday. That's the biggest challenges on the production systems. >> Now the speed is of the essence. Rick, this has been a successful experiment trying this. What are you hearing from attendees? Did they like it where they sort of How do we Dad? Does this work? What is this about? >> I think they're really enjoyed it. Every time I look, I went over to the zone. It was full of people having deep conversations, really getting into the technology and understanding. Because as I mentioned these air topics that I think everyone came here to the show to really learn more about How are they going to get where they're going There, Cloud journey where they're going to go in there, eh? I journey. It's a great feedback from attendees. Lot of active participation. So I'm going >> to do it. We're going to see it in >> your batter. It's gonna be great. >> So now that you're the winner, you're going to be up there on the main stage, getting some recognition. That's exciting. What? What are you going to take back? Teo, I know you're based in both Israel and New York. What? What? What does this mean for your company? >> So I think the next step is taking it to the business side. Right? We want to make sure that the joint offering and the joy in partnership moves to the next stage taking it to the next customer. We have some joint customer. We have some new prospect. Were a lot of late from the show here, sitting next to me, sitting side by side with the other partners of Info Matic. I like data breaks and slow flaked and clothes are so we have a lot of joint offering and solving real time like business and off the largest, most challenging enterprise we have, like, you know, largest banks, largest airlines, largest like railways companies. So I think the next step is moving, taking it from the exhibition to the field. >> Great. Well, this is terrific. Congratulations. Once again. Really exciting. Really happy for you. Thanks so much for coming on the show. Thank you. You have been watching the cubes live coverage of in from Attica, World 2019. I'm Rebecca night. Stay tuned

>> live from Barcelona, Spain. It's the key covering Cook Con Cloud, Native Con Europe twenty nineteen by Red Hat, The Cloud, Native Computing Foundation and Ecosystem Partners. >> Welcome back to the Cubes Live coverage of Cloud Native Con Cube Khan, twenty nineteen I'm student of my co host is Corey Quinn and happy to welcome back to the program. Doug Davis, who's a senior technical staff member and PM of a native and happens to be employed by IBM. Thanks so much for joining. Thanks for inviting me. Alright. So, Corey, I got really excited when he saw this Because server lists, uh, is something that, you know he's been doing for a while. I've been poking in, trying to understand all the pieces have done marvelous conflict couple of times and, you know, I guess, I guess layout for our audience a little bit, you know, Kay native. You know, I look at it kind of a bridging the solution, but, you know, we're talking. It's not the, you know, you know, containers or server. Listen, you know, we understand that world, they're spectrums, and there's overlap. So maybe is that is a set up. You know what is the service. Working groups, you know, Charter, Right. So >> the service Working Group is a Sand CF working group. It was originally started back in mid two thousand seventeen by the technical recite committee in Cincy. They basically wanted know what is service all about his new technology is that some of these get involved with stuff like that. So they started up the service working group and our main mission was just doing some investigation. And so the output of this working group was a white paper. Basically describing serval is how it compares with the other as is out there. What is the good use cases for when to use? It went out through it. Common architectures, basically just explaining what the heck is going on in that space. And then we also produced a landscape document basically laying out what's out there from a proprietors perspective as well is open source perspective. And then the third piece was at the tail end of the white paper set of recommendations for the TOC or seen staff in general. What should they do? Do next and basic came down to three different things. One was education. We want to be educate the community on what services, when it's appropriate >> stuff like that >> to what should wait. I'm sorry I'm getting somebody thinks my head recommendations. What other projects we pull into the CNC f others other service projects, you know, getting encouraged in the joint to grow the community. And, third, >> what should we >> do around improbability? Because obviously, when it comes to open source standards of stuff like that, we want in our ability portability, stuff like that. And one of the low hang your food so they identified was, Well, service seems to be all about events. So there's something inventing space we can do and we recognize well, if we could help the processing of events as it moves from Point A to point B, that might help people in terms of middleware in terms of routing, of events, filtering events, stuff like that. And so that's how these convents project that started. Right? And so that's where most of service working group members are nowadays. Is cloud events working or project, and they're basically divine, Eva said. Specification around cloud events, and you kind of think of it as defining metadata to add to your current events because we're not going to tell you. Oh, here's yet another one size fits all cloud of in format, right? It's Take your current events. Sprinkle a little extra metadata in there just to help routing. And that's really what it's all about. >> One of the first things people say about server list is quoted directly from the cover of Missing the Point magazine Server list Runs on servers. Wonderful. Thank you for your valuable contribution. Go away slightly less naive is, I think, an approach, and I've seen a couple of times so far at this conference. When talking to people that they think of it in terms of functions as a service of being able to take arbitrary code and run it. I have a wristwatch I can run arbitrary code on. That's not really the point. It's, I think you're right. It's talking more about the event model and what that unlocks As your application. Mohr less starts to become more self aware. Are you finding that acceptance of that point is taking time to take root? >> Yeah, I think what's interesting is when we first are looking. A serval is, I think, very a lot of people did think of service equals function of the service, and that's all it was. I think what we're finding now is this this mode or people are more open to the idea of sort of as you. I think you're alluding to merging of these worlds because we look at the functionality of service offers things like event base, which really only means is the messages coming in? It just happens to look like an event. Okay, fine. Mrs comes in you auto scale based upon, you know, loaded stuff like that scale down to zero is a one of the key. Thought it was really like all these other things are all these features. Why should you limit those two service? Why not a past platform? Why not? Container is a service. Why would you want those just for one little as column? And so my goal with things like a native though I'm glad you mentioned it is because I think Canada does try to span those, and I'm hoping it kind of merges them altogether and says, Look, I don't care what you call it. Use this piece of technology because it does what you need to do If you want to think of it as a pass. Go for I don't care. This guy over here he wants think that is a FAZ Great. It's the same piece of technology. Does the feature do what you need? Yes or no? Ignore that, nor the terminology around it more than anything else. >> So I agree. Ueda Good, Great discussion with the user earlier and he said from a developer standpoint, I actually don't want to think too much about which one of these pass I go down. I want to reduce the friction for them and make it easy. So you know, how does K native help us move towards that? You know, ideal >> world, right? And I think so fine. With what I said earlier, One of the things I think a native does, aside from trying to bridge all the various as columns is I also look a K native as a simplification of communities because as much as everybody here loves communities, it is kind of complicated, right? It is not the easiest thing in the world to use, and it kind of forced you to be a nightie expert which almost goes against the direction we were headed. When you think of Cloud Foundry stuff like that where it's like, Hey, you don't worry about this something, we're just give us your code, right? Cos well says, No, you gotta know about networks, Congress on values, that everything else it's like, I'm sorry, isn't this going the wrong way? Well, Kania tries to back up a little, say, give you all the features of Cooper Netease, but in a simplified platform or a P I experience that you can get similar Tokat. Foundry is Simo, doctor and stuff, but gives you all the benefits of communities. But the important thing is if for some reason you need to go around K native because it's a little too simplified or opinionated, you could still go around it to get to the complicated stuff. And it's not like you're leaving that a different world or you're entering a different world because it's the same infrastructure they could. This stuff that you deploy on K native can integrate very nicely with the stuff you deploy through vanilla communities if you have to. So it is really nice emerging these two worlds, and I'm I'm really excited by that. >> One thing that I found always strange about server list is a first. It was defined by what it's not and then quickly came to be defined almost by its constraints. If you take a look at public cloud offerings around this, most notably a ws land other there, many others it comes down well. You can only run it for experience, time or on Lee runs in certain run times, or it's something the cold starts become a problem. I think that taking a viewpoint from that perspective artificially hobbles what this might wind up on locking down the road just because these constraints move. And right now it might be a bit of a toy. I don't think it will be as it because it needs to become more capable. The big value proposition that I keep hearing around server listen I've mostly bought into has been that it's about business logic and solving the things that Air corps to your business and not even having to think about infrastructure. Where do you stand on that >> viewpoint? I completely agree. I think a lot of the limitations you see today are completely artificial I kind of understand why they're there, because the way things have progressed, But again, it's one reason I excited like a native is because a lot of those limitations aren't there. Now. Kay native doesn't have its own set of limitations. And personally, I do want to try to remove those. Like I said, I would love it if K native, aside from the service features it offers up, became these simplified incriminate his experience. So if you think about what you could do with Coronet is right, you can deploy a pod and they can run forever until the system decides to crash. For some reason, right, why not do that with a native and you can't stay with a native? Technically, I have demos that I've been running here where I set the men scale the one it lives forever, and teenager doesn't care right? And so deploying an application through K native communities. I don't care that it's the same thing to me. And so, yes, I do want to merge in those two worlds. I wantto lower those constraints as long as you keep it a simplified model and support the eighty to ninety percent of those use cases that it's actually meant to address. Leave the hard stuff for going around it a little. >> Alright, So, Doug, you know, it's often times, you know, we get caught in this bubble of arguing over, you know? You know what we call it, how the different pieces are. Yesterday you had a practitioner Summit four server list. So what? I want to hear his You know, whats the practitioners of you put What are they excited about? What are they using today and what are the things that they're asking for? Help it become, you know, Maur were usable and useful for them in the future. >> So in full disclosure, we actually kind of a quiet audience, so they weren't very vocal. But what little I did here is they seemed very excited by K native and I think a lot of it was because we were just talking about sort of the merging of the worlds because I do think there is still some confusion around, as you said, when to use one versus the other. And I think a native is helping to bring those together. And I did hear some excitement around that in terms of what people actually expect from us going the future. I don't know the honest They didn't actually say a whole lot there. I had my own personal opinion, and lot of is what already stayed in terms of emerging. Stop having me pick a technology or pick a terminology, right? Let me just pick technology gets my job done and hopefully that one will solve a lot of my needs. But for the most part, I think it was really more about Kenya than anything else yesterday. >> I think like Lennox before it. Any technology? At some point you saw this with virtual ization with cloud, with containers with Cooper Netease. And now we're starting to seriously with server lists where some of its most vocal proponents are also so the most obnoxious in that they're looking at this from a perspective of what's your problem? I'm not even going to listen to the answer. The solution is filling favorite technology here. So to that end today, what workloads air not appropriate for surveillance in your >> mind? Um, so this is hardly the answer because I have the IBM Army running through my head because what's interesting is. I do hear people talk about service is good for this and not this or you can date. It was good for this and not this. And I hear those things, and I'm not sure I actually buy it right. I actually think that the only limitations that I've seen in terms of what you should not run on time like he needed or any of the platform is whatever that platform actually finds you, too. So, for example, on eight of us, they may have time limited in terms of how long you can run. If that's a problem for you, don't use it to me. That's not an artifact of service. That's artifact of that particular choice of how the implement service with K native they don't have that problem. You could let it run forever if you want. So in terms of what workloads or good or bad, I honestly I don't have a good answer for that because I don't necessary by some of the the stories I'm hearing, I personally think, try to run everything you can through something like Cain native, and then when it fails, go someplace else is the same story had when containers first came around, they would say, You know when to use viens roses containers. My go to answer was, always try containers first. Your life would be a whole lot easier when it doesn't work, then look at the other things because I don't want to. I don't want to try to pigeonhole something like surly or K native and say, Oh, don't even think about it for these things because it may actually worked just fine for you, right? I don't want people to believe negative hype in a way that makes sense, >> and that's very fair. I tend to see most of the constraints around. This is being implementation details of specific providers and that that will dictate answers to that question. I don't want to sound like I'm coming after you, and that's very thoughtful of measured >> thank you Usual response back. Teo >> I'LL give you the tough one. The critical guy had in Seattle when I looked at K Native is there's a lot of civilised options out there yet, but when I talked to users, the number one out there is a ws lambda, and number two is probably as your functions and as of Seattle, neither of those was fully integrated since then. I talked a little startup called I Believe his Trigger Mash that that has made some connections between Lambda on K Native. And there was an announcement a couple of weeks ago, Kedia or Keita? That's azure and some kind of future to get Teo K native. So it feels like it's a maturity thing. And, you know, what can you tell us about, you know, the big cloud guys on Felicia? Google's involved IBM Red Hat on and you know Oracle are involved in K Native. So where do those big cloud players? Right? >> So from my perspective, what I think Kenya has going for it over the others is one A lot of other guys do run on Cooper Netease. I feel like they're sort of like communities as well as everything else, like some of them can run. Incriminate is Dr anything else, and so they're not necessary. Tightly integrated and leveraging the carbonates features the way Kay native is doing, and I think that's a little bit unique right there. But the other thing that I think K native has going for it is the community around it. I think people were doing were noticing. Is that what you said? There's a lot of other players out there and his heart feel the choose and what? I think Google did a great job of this sort of bringing the community together and said, Look, can we stop bickering and develop a sort of common infrastructure like communities is that we can all then base our surveillance platforms on, and I think that rallying cry to bring the community together across a common base is something a little bit unique for K native. When you compare it with the others, I think that's a big draw for people. Least from my perspective. I know it from IBM Zzzz Well, because community is a big thing for us, obviously. >> Okay, so will there be a bridge to those other cloud players soon as their road map? For that, >> we think a native itself. Yeah, I am not sure I can answer that one, because I'm not sure I heard a lot of of talk about bridging per se. I know that when you talk about things like getting events from other platforms and stuff, obviously, through the eventing side of a native. We do. But from a serving perspective, I'm not sure I hold her old water. From that perspective, you have to be >> honest. All right, Well, Doug Davis, we're done for This one really appreciate all the updates there. And I definitely look forward, Teo, seeing the progress that the servant working group continues to do, so thank you so much. Thank you for having me. Alright for Corey Quinn. I'm stupid and will be back with more coverage here on the Cube. Thanks for watching.

>> about >> fifteen live from basically about a room that is a common club native con Europe twenty nineteen by Red Hat, The >> Cloud, Native Computing Foundation and Ecosystem Partners. >> Welcome back to the Cubes. Live coverage of Cloud Native Con Cube Khan, twenty nineteen I'm stupid in my co host is Corey Quinn and having a welcome back to the program, Doug Davis, who's a senior technical staff member and PM of a native. And he happens to be employed by IBM. Thanks so much for joining. Thanks for inviting me. Alright, So Corey got really excited when he saw this because server Lis is something that you know he's been doing for a while. I've been poking in, trying to understand all the pieces have done marvelous conflict couple of times and, you know, I guess, I guess layout for our audience a little bit, you know, k native. You know, I look at it kind of a bridging a solution, but, you know, we're talking. It's not the, you know, you know, containers or server lists. And, you know, we understand that world. They're spectrums and there's overlap. So maybe as that is a set up, you know, What is the surveillance working groups? You know, Charter. Right. So >> the service Working Group is a Sand CF working group. It was originally started back in mid two thousand seventeen by the technical recite committee in Cincy. They basically wanted know what is service all about his new technology is that some of these get involved with stuff like that. So they started up the service working group and our main mission was just doing some investigation. And so the output of this working group was a white paper. Basically describing serval is how it compares with the other as is out there. What is the good use cases for when to use that went out through it? Common architectures, basically just explaining what the heck is going on in that space. And then we also produced a landscape document basically laying out what's out there from a proprietors perspective as well is open source perspective. And then the third piece was at the tail end of the white paper set of recommendations for the TOC or seen stuff in general. What do they do next? And basic came down to three different things. One was education. We want to be educate the community on what services when it's appropriate stuff like that. Two. What should wait? I'm sorry I'm getting somebody Thinks my head recommendations. What other projects we pull into the CNC f others other service projects, you know, getting encouraged in the joint to grow the community. And third, what should we do around improbability? Because obviously, when it comes to open source standards of stuff like that, we want in our ability, portability stuff like that and one of the low hang your food should be identified was, well, service seems to be all about events. So there's something inventing space we could do, and we recognize well, if we could help the processing of events as it moves from Point A to point B, that might help people in terms of middleware in terms of routing, of events, filtering events, stuff like that. And so that's how these convents project that started. Right? And so that's where most of service working group members are nowadays. Is cod events working or project, and they're basically divine, Eva said specification around cloud events, and you kind of think of it as defining metadata to add to your current events because we're not going to tell you. Oh, here's yet another one size fits all cloud of in format, right? It's Take your current events. Sprinkle a little extra metadata in there just to help routing. And that's really what it's all about. >> One of the first things people say about server list is quoted directly from the cover of Missing the Point magazine Server list Runs on servers. Wonderful. Thank you for your valuable contribution. Go away slightly less naive is, I think, an approach, and I've seen a couple of times so far at this conference. When talking to people that they think of it in terms of functions as a service of being able to take arbitrary code and running, I have a wristwatch I can run arbitrary code on. That's not really the point. It's, I think you're right. It's talking more about the event model and what that unlocks As your application. Mohr less starts to become more self aware. Are you finding that acceptance of that viewpoint is taking time to take root? >> Yeah, I think what's interesting is when we first are looking. A serval is, I think, very a lot of people did think of service equals function of the service, and that's all it was. I think what we're finding now is this this mode or people are more open to the idea of sort of as you. I think you're alluding to merging of these worlds because we look at the functionality of service offers, things like event based, which really only means is the messages coming in? It just happens to look like an event. Okay, fine. Mrs comes in you auto scale based upon, you know, loaded stuff like that scale down to zero is a the monkey thought it was really like all these other things are all these features. Why should you limit those two service? Why not a past platform? Why not? Container is a service. Why would you want those just for one little as column? And so my goal with things like a native though I'm glad you mentioned it is because I think he does try to span those, and I'm hoping it kind of merges them altogether and says, Look, I don't care what you call it. Use this piece of technology because it does what you need to do. If you want to think of it as a pass, go for I don't care. This guy over here he wants think that is a FAZ Great. It's the same piece of technology. Does the feature do what you need? Yes or no? Ignore that, nor the terminology around it more than anything >> else. So I agree. Ueda Good, Great discussion with the user earlier and he said from a developer standpoint, I actually don't want to think too much about which one of these pass I go down. I want to reduce the friction for them and make it easy. So you know, how does K native help us move towards that? You know, ideal >> world, right? And I think so fine. With what I said earlier, One of the things I think a native does, aside from trying to bridge all the various as columns is I also look a K native as a simplification of communities because as much as everybody here loves communities, it is kind of complicated, right? It is not the easiest thing in the world to use, and it kind of forced you to be a nightie expert which almost goes against the direction we were headed. When you think of Cloud Foundry stuff like that where it's like, Hey, you don't worry about this something, we're just give us your code, right? Cos well says No, you gotta know about Network Sing Gris on values that everything else it's like, I'm sorry, isn't this going the wrong way? Well, Kania tries to back up a little, say, give you all the features of Cooper Netease, but in a simplified platform or a P I experience that you can get similar Tokat. Foundry is Simo, doctor and stuff, but gives you all the benefits of communities. But the important thing is if for some reason you need to go around K native because it's a little too simplified or opinionated, you could still go around it to get to the complicated stuff. And it's not like you're leaving that a different world or you're entering a different world because it's the same infrastructure they could stuff that you deploy on. K Native can integrate very nicely with the stuff you deploy through vanilla communities if you have to. So it is really nice emerging these two worlds, and I'm I'm really excited by that. >> One thing that I found always strange about server list is at first it was defined by what it's not and then quickly came to be defined almost by its constraints. If you take a look at public cloud offerings around this, most notably a ws land other there, many others it comes down well. You can only run it for experience time or it only runs in certain run times. Or it's something the cold starts become a problem. I think that taking a viewpoint from that perspective artificially hobbles what this might wind up on locking down the road just because these constraints move. And right now it might be a bit of a toy. I don't think it will be as it because it needs to become more capable. The big value proposition that I keep hearing around server listen I've mostly bought into has been that it's about business logic and solving the things that Air Corps to your business and not even having to think about infrastructure. Where do you stand on that >> viewpoint? I completely agree. I think a lot of the limitations you see today are completely artificial. I kind of understand why they're there, because the way things have progressed. But again, that's one reason I excited like a native is because a lot of those limitations aren't there. Now, Kay native doesn't have its own set of limitations. And personally, I do want to try to remove those. Like I said, I would love it if K native, aside from the serval ISS features it offers up, became these simplified, incriminate his experience. So if you think about what you could do with Coronet is right, you could deploy a pod and they can run forever until the system decides to crash. For some reason, right, why not do that with a native and you can't stay with a native? Technically, I have demos that I've been running here where I set the men scale the one it lives forever, and teenager doesn't care right? And so deploying an application through K native communities. I don't care that it's the same thing to me. And so, yes, I do want to merge in those two worlds. I wantto lower those constraints as long as you keep it a simplified model and support the eighty to ninety percent of those use cases that it's actually meant to address. Leave the hard stuff for going around it a little. >> Alright, So, Doug, you know, it's often times, you know, we get caught in this bubble of arguing over, you know? You know what we call it, how the different pieces are. Yesterday you had a practitioner Summit four server list. So what? I want to hear his You know, whats the practitioners of you put What are they excited about? What are they using today and what are the things that they're asking for? Help it become, you know, Maur were usable and useful for them in the future. >> So in full disclosure, we actually kind of a quiet audience, so they weren't very vocal. But what little I did here is they seem very excited by K native and I think a lot of it was because we were just talking about that sort of merging of the worlds because I do think there is still some confusion around, as you said when you use one verse of the other and I think a native is helping to bring those together. And I did hear some excitement around that in terms of what people actually expect from us going in the future. I don't know. Be honest. They didn't actually say a whole lot there. I had my own personal opinion, and lot of years would already stayed in terms of emerging. Stop having me pick a technology or pick a terminology, right? Let me just pick the technology. It gets my job done and hopefully that one will solve a lot of my needs. But for the most parts, I think it was really more about Kaneda than anything else. Yesterday, >> I think like Lennox before it. Any technology? At some point you saw this with virtual ization with cloud, with containers with Cooper Netease. And now we're starting to Syria to see with server lists where some of its most vocal proponents are also the most obnoxious in that they're looking at this from a perspective of what's your problem? I'm not even going to listen to the answer. The absolution is filling favorite technology here. So to that end today, what workloads air not appropriate for surveillance in your mind? >> Um, >> so this is hardly an answer because I have the IBM Army running through my head because what's interesting is I do hear people talk about service is good for this and not this or you can date. It is good for this and not this. And I hear those things, and I'm not sure I actually buy it right. I actually think that the only limitations that I've seen in terms of what you should not run on time like he needed or any of the platform is whatever that platform actually finds you, too. So, for example, on eight of us, they may have time limited in terms of how long you can run. If that's a problem for you, don't use it to me. That's not an artifact of service. That's artifact of that particular choice of how the implement service with K native they don't have that problem. You could let it run forever if you want. So in terms of what workloads or good or bad, I honestly I don't have a good answer for that because I don't necessary by some of the the stories I'm hearing, I personally think, try to run everything you can through something like Cain native, and then when it fails, go someplace else is the same story had when containers first came around. They would say, You know when to use BMS vs Containers. My go to answer was, always try containers first. Your life will be a whole lot easier when it doesn't work, then look at the other things because I don't want to. I don't want to try to pigeonhole something like surly or K native and say, Oh, don't even think about it for these things because it may actually worked just fine for you, right? I don't want people to believe negative hype in a way that makes sense, >> and that's very fair. I tend to see most of the constraints around. This is being implementation details of specific providers and that that will dictate answers to that question. I don't want to sound like I'm coming after you, and that's very thoughtful of measured with >> thank you. That's the usual response back. So don't >> go. I'Ll give you the tough one critical guy had in Seattle. Okay, when I looked at K Native is there's a lot of civilised options out there yet, but when I talked to users, the number one out there is a ws Lambda, and number two is probably as your functions. And as of Seattle, neither of those was fully integrated. Since then, I talk to a little startup called Believers Trigger Mash, that that has made some connections between Lambda Ah, and a native. And there was an announcement a couple of weeks ago, Kedia or Keita? That's azure and some kind of future to get Teo K native. So it feels like it's a maturity thing. And, you know, what can you tell us about, you know, the big cloud guys on Felicia? Google's involved IBM Red Hat on and you know Oracle are involved in K Native. So where do those big cloud players? Right? >> So from my perspective, what I think Kenya has going for it over the others is one A lot of other guys do run on Cooper Netease. I feel like they're sort of like communities as well as everything else, like some of them can run. Incriminate is Dr anything else, and so they're not necessary, tightly integrated and leveraging the community's features the way Kay Native is doing. And I think that's a little bit unique right there. But the other thing that I think K native has going for it is the community around it? I think people were doing were noticing. Is that what you said? There's a lot of other players out there, and it's hard for people to choose. And what? I think Google did a great job of this sort of bringing the community together and said, Look, can we stop bickering and develop a sort of common infrastructure? Like Who Burnett is is that we can all then base our surveillance platforms on, and I think that rallying cry to bring the community together across a common base is something a little bit unique for K native. When you compare it with the others, I think that's a big draw for people. Least from my perspective. I know it from IBM Zzzz Well, because community is a big thing for us, >> obviously. Okay, so will there be a bridge to those other cloud players soon as their road map? For that, >> we think a native itself. Yeah, I am not sure I can answer that one, because I'm not sure I heard a lot of talk about bridging per se. I know that when you talk about things like getting events from other platforms and stuff. Obviously, through the eventing side of a native we do went from a serving perspective. I'm not sure I hold her old water. From that perspective, you have >> to be honest. All right, Well, Doug Davis, we're done for This one. Really appreciate all the updates there. And I definitely look forward, Teo, seeing the progress that the servant working group continues to do, so thank you so much. Thank you for having me. Alright for Corey Quinn. I'm stupid and will be back with more coverage here on the Cube. Thanks for watching.

>> live from Barcelona, Spain. It's the key covering KubeCon Cloud, Native Con Europe twenty nineteen by Red Hat, the Cloud, Native Computing Foundation and Ecosystem Partners. >> Welcome back to Barcelona, Spain >> were here of the era, and seventy seven hundred people are here for the KubeCon Cloud NativeCon, twenty, nineteen, Off student. My co host for the two days of coverage is Corey Quinn, and joining Me are the two co chairs of this CNC event. Janet Cooper, who is also thie, suffer engineer with Google and having done the wrap up on stage in the keynote this morning, find Lyle's a senior staff engineer with BM where thank you both for joining us, >> Thank you. >> Thanks for having me. >> So let's start. We're celebrating five years of Kubernetes as damn calm laid out this morning. You know, of course, you know came from Google board in over a decade of experience there. So it just helps out the state for us. >> Um, so I started working on communities since before the 1.4 release and then steal a project Montana today. And I feel so proud to see, uh, the progress off this project and its has grown exponentially. And today we have already thirty one thousand contributors and expect it to grow even more if you can. >> All right. So, Brian, you work with some of the original people that helped create who Burnett ease because you came to be and where, by way of the FTO acquisition, seventy seven hundred people here we said it. So it's, you know, just about the size of us feel that we had in Seattle a few months ago Way Expect that San Diego is going to be massive when we get there in the fall. But you know, talk to us is the co chair, you know, What's it mean to, you know, put something like this together? >> Well, so as ah is a long time open source person and seeing you know, all these companies move around for, you know, decades. Now it's nice to be a part of something that I saw from the sidelines for so, so long. I'm actually... it's kind of surreal because I didn't do anything special to get here. I just did what I was doing. And you know, Jan and I just wound up here together, so it's a great feeling, and it's the best part about it is whenever I get off stage and I walked outside and I walked back. It's like a ten minute walk each way. So many people are like, Yeah, you really made my morning And that's that's super special. >> Yeah. I mean, look, you know, we're we're huge fans of open source in general and, you know, communities, especially here. So look, there was no, you know, you both have full time jobs, and you're giving your time to support this. So thank you for what you did. And, you know, we know it takes an army to put together in a community. Some of these people, we're Brian, you know, you got upstate talk about all the various project. There's so many pieces here. We've only have a few minutes. Any kind of major highlights You wanna pull from the keynote? >> So the biggest. Actually, I I've only highlight won the open census open. Tracing merge is great, because not only because it's going to make a better product, but he had two pretty good pieces of software. One from Google, actually, literally both from Google. Ultimately, But they realize that. Hey, we have the same goals. We have similar interfaces. And instead of going through this arms race, what they did is sable. This is what we'LL do. We'LL create a new project and will merge them. That is, you know, that is one of the best things about open source. You know, you want to see this in a lot of places, but people are mature enough to say, Hey, we're going to actually make something bigger and better for everyone. And that was my favorite update. >> Yeah, well, I tell you, and I'm doing my job well, because literally like during the keynote, I reached out to Ben. And Ben and Morgan are going to come on the program to talk about that merging later today. That was interested. >> I've often been accused of having that first language being snark, and I guess in that light, something that I'm not particularly clear on, and this is not the setup for a joke. But one announcement that was made on stage today was that Tiller is no longer included in the current version of Wasn't Helm. Yes, yes, And everyone clapped and applauded, and my immediate response was first off. Wow, if you were the person that wrote Tiller, that probably didn't feel so good given. Everyone was copping and happy about it. But it seems that that was big and transformative and revelatory for a lot of the audience. What is Tiller and why is it perceived as being less than awesome? >> All right, so I will give you a disclaimer, >> please. >> The disclaimer is I do not work on the helm project... Wonderful >> ...so anything that I say should be fact checked. >> Excellent. >> So Well, so here's the big deal. When Tiller, when Helm was introduced, they had this thing called Tiller. And what tiller did was it ran at a basically a cluster wide level to make sure that it could coordinate software being installed and Kubernetes named Spaces or groups how Kubernetes applications are distributed. So what happens is is that that was the best vector for security problems. Basically, you had this root level piece of software running, and people were figuring out ways to get around it. And it was a big security hole. What >> they've done Just a component. It's an attack platform. It >> was one hundred percent. I mean, I remember bit. Nami actually wrote a block post. You know, disclaimer of'em were just bought that bit na me. >> Yes, I insisted It's called Bitten, am I? But we'LL get to that >> another. This's a disclaimer, You know, There Now you know there now my co workers But they wrote they were with very good article about a year and a half ago about just all the attack vectors, but and then also gave us solution around that. Now you don't need that solution. What you get by default. Now something is much more secure. And that's the most important piece. And I think the community really loves Helm, and now they have helm with better defaults. >> So, Janet, a lot of people at the show you talk about, you know, tens of thousands of contributors to it. But that being said, there's still a lot of the world that is just getting started. Part of the key note. And I knew you wrote something running workloads and cover Netease talk a little bit about how we're helping you know, those that aren't yet, you know, on board with you getting into the community ship. >> So I work on the C gaps. So she grabs one of the sub fracture that own is the work wells AP Eyes. That's why I had that. What post? About running for closing covered alleys. So basically, you you're using coronaries clarity, baby eyes to run a different type of application, and we call it were close. So you have stay full state wears or jobs and demons and you have different guys to run those clothes in the communities. And then for those who are just getting started, maybe start with, uh, stay last were close. That's the easiest one. And then for people who are looking Teo, contribute war I. I encouraged you to start with maybe small fixes, maybe take some documents or do some small P R's and you're reputations from there and star from small contributions and then feel all the way up. >> Yeah, so you know, one of one of the things when I look out there, you know, it's a complex ecosystem now, and, you know, there's a lot of pieces in there, you know, you know, trend we see is a lot of customers looking for manage services. A lot of you know, you know, I need opinions to help get me through all of these various pieces. You know what? What do you say to those people? And they're coming in And there's that, you know, paradox of choice When they, you know, come, come looking. You know, all the options out there. >> So I would say, Start with something simple that works. And then you can always ask others for advice for what works, What doesn't work. And you can hear from their success stories or failure stories. And then I think I recently he saw Block post about Some people in the community is collecting a potential failure stories. There is also a talk about humanity's fellow, the stories. So maybe you can go there and learn from the old those mistakes and then how to build a better system from there. >> I'd love that. We have to celebrate those failures that we hopefully can learn from them. Find anything on that, You know, from your viewpoint. >> Eso Actually, it's something I research is developer experience for you. Bernetti. So my communities is this whole big ping. I look on top of it and I'm looking at the outside in howto developers interact with Burnett, ese. And what we're seeing is that there's lots of room for opportunities and Mohr tools outside of the main community space that will help people actually interact with it because that's not really communities. Developers responsibility, you know, so one anything that I think that we're doing now is we're looking and this is something that we're doing and be aware that I can talk about is that we're looking at a P ice we're looking at. We realize that client go, which is the way that you burnett ese talks with sapi eyes, and a lot of people are using out externally were looking at. But what does it actually mean for human to use this and a lot of my work is just really around. Well, that's cool for computers. Now, what if a human has to use it? So what we're finding is that no. And I'm going to talk about this in my keynote tomorrow. You know, we're on this journey, and Kubernetes is not the destination. Coover Netease is the vehicle that is getting us to the destination that we don't even know what it is. So there's lots of spaces that we can look around to improve Kubernetes without even touching Cooper Netease itself, because actually, it's pretty good and it's fairly stable in a lot of cases. But it's hard, and that's the best part. So that's, you know, lots of work for us, the salt >> from my perspective. One of the turning points in Kou Burnett is a success. Story was when it got beyond just Google. Well, folks working on it. For better or worse, Google has a certain step of coding standards, and then you bring it to the real world, where there are people who are, Let's be honest, like me, where my coding standard is. I should try to right some some days, and not everything winds up having the same constraints. Not everything has the same approach. To some extent, it really feels like a tipping point for all of it was when you wind up getting to a position where people are bringing their real world workload that don't look like anything, anyone would be able to write a googol and keep their job. But still having to work with this, there was a wound up being sort of blossoming effect really accelerating the project. Conversely, other large infrastructure projects we need not mention when they had that tipping point in getting more people involved, they sort of imploded on themselves. I'm curious. Do you have any thoughts as to why you Burnett? He started thriving where other projects and failed trying to do the same things. >> I have something you go first. And >> I think the biggest thing about cybernetics is the really strong community and the ecosystem and also communities has the extensive bility for you to build on top of communities. We've seen people building from works, and then the platform is different platforms. Open source platforms on top of you. Burnett is so other people can use on other layers. Hyah. Layers off stacks on top of fraternities. Just use those open source. So, for example, we have the CRD. It's an A P I that allows you to feel your own customized, overnighted style FBI, so they're using some custom for couple databases. You could just create your own carbonated style FBI and call out your database or other stuffs, and then you can combine them into your own platform. And that's very powerful because everywhere. I can just use the same FBI, the Carbonari style idea to manage almost everything and that enables a Teo be able to, you know, on communities being adopted in different industry, such as I o t. A and Lord. >> So actually, this is perfect because the sleaze and so what I was going to say The secret of community is that we don't talk about actually job, Ada says. It's a lot, but it's a communities is a platform for creating platforms. So Kubernetes really is almost built on itself. You can extend Cooper. Netease like communities extends itself with the same semantics that it lets users extended. So Janet was talking about >> becoming the software that is eating the world. Yeah, it >> literally is. So Janet talked about the CRD sees custom resource definitions. It's the same. It's the same mechanism that Kubernetes uses to add new features. So whenever you're using these mechanisms, you're using Kou Burnett. He's basically the Cooper Nate's infrastructure to create. So really, what it is is that this is the tool kit for creating your solutions. What is why I say that Kubernetes is not an end point its its journey. >> So the cloud native system. >> So you know what? Yeah, and I like I like the limits analogy that people talk about. Like Coburn. Eighties is is like clinics. If you think about how Lennox you know little l. Lennox. Yeah. You know, I'm saying little l olynyk sub Let's put together. Yeah, you Burnett. He's like parts of communities would be system. And it's it's all these components come together the creature operating system, and that's the best part about it. >> Okay, so for me, the people that are not the seventy seven hundred that air here give them a little bit of, you know, walk around the show and some of the nooks and crannies that they might not know, like, you know, for myself having been to a number of these like Boy, there were so many half day and full day workshops yesterday there were, like, at least, like fifteen or seventeen or something like that that I saw, You know, obviously there's some of the big keynote. The Expo Hall is sprawling it, you know, I've been toe, you know, fifteen twenty thousand people show here This sex Bohol feels is bustling ahs that one is and well as tons of breakout session. So, you know, give us some of the things that people would have been missing if they didn't come to the show here. >> So just for the record, if you missed the show, you can still watch all the videos online. And then you can also watch the lifestream for keynotes so on. I personally love the applicant the different ways for a customizing covered at ease. So there's Ah, customizing overnight is track. And also there's the apple that applications track and I personally love that. And also I like the color case studies So you can't go to the case studies track to see on different users and users off Cooper, Natty shared. There were war stories, >> Yes, So I think that she will miss. There's a few things that you'll miss if you if you're not here in Barcelona right now, the first thing is that this convention center is huge. It's a ten minute walk from the door to where we're sitting right now, but more seriously, one. The things you'LL miss is that before the conference starts, there are there are a whole bunch of summits, Red had had a summit and fewer people had some. It's yesterday where they talk about things. There's the training sessions, which a lot of cases aren't recorded. And then another thing is that the special interest groups, the cigs. So Cooper ninety six, they all get together and they have faced the face discussions and then generally one from yesterday We're not. We're not recorded. So what you're missing is the people who actually make this big machine turn. They get together face to face and they first of all, they built from a rotary. But they get to discuss items that have require high bit of bandwith that you really can't do over again of issue or email, or even even a slack call like you can actually get this thing solved. And the best thing is watching these people. And then you watch the great ideas that in, you know, three, six months to a year become like, really big thing. So I bet yesterday, so something was discussed. Actually, I know of some things that we discussed yesterday that might fundamentally change how we deal with communities. So that's that is the value of being here and then the third thing is like when you come to a conference like this, where there's almost a thousand people, there's a lot of conversations that happened between, you know, the Expo Hall and the session rooms. And there's, um there's, you know, people are getting jobs here, People are finding new friends and people are learning. And before thing and I'll end with This is that I walk around looking for people who come in on the on the diversity scholarships, and I would not hear their stories if I did not come. So I met two people. I met a young lady from New Zealand who got the scholarship and flew here, you know, and super smart, but is in New Zealand and university, and I get to hear her insights with life. And then I get to share how you could be better in the same thing. I met a gentleman from Zimbabwe yesterday was going to school and take down, and what I hear is that there's so many smart people without opportunities, so if you're looking for opportunities, it's in these halls. There's a lot of people who have either money for you or they have re sources were really doesn't have a job or just you know what? Maybe there's someone you can call whenever you're stuck. So there is a lot of benefit to come into these. If you can get here, >> talent is evenly distributed. Opportunity is not. So I think the diversity scholarship program is one of the most inspirational things I saw mentioned out of a number of inspirational things that >> I know. It's It's my favorite part of communities. You know, I am super lucky that I haven't employees that our employer that can afford to send me here. Then I'm also super lucky that I probably couldn't afford to send myself here if I wanted to. And I do as much as I can to get people >> here. Well, Brian and Janet thank you so much for all you did to put this and sharing it with our community here. I'Ll repeat something that I said in Seattle. Actually, there was a lot of cloud shows out there. But if you're looking for you know, that independent cloud show that you know, lives in this multi hybrid cloud, whatever you wanna call it world you know this is one of the best out there. And the people? Absolutely. If you don't come with networking opportunities, we had into it on earlier, and they talked about how you know, this is the kind of place you come and you find a few people that you could hire to train the hundreds of people inside on all of the latest cloud native pieces. >> Can I say one thing, please? Brian S O, this is This is significant and it's significant for Janet and I. We are in the United States. We are, you know, Janet is a minority and I am a minority. This is the largest open source conference in the world. Siri's This is the largest open source conference in Europe. When we do, when we do, it ended a year. Whenever we do San Diego, it'Ll be the largest open source conference in the world. And look who's running it. You know, my new co chair is also a minority. This is amazing. And I love that. It shows that people who look like us we can come up here and do these things because like you said, opportunity is is, you know, opportunities the hard thing. Talent is everywhere. It's all over the place. And I'm glad we had a chance to do this. >> All right. Well, Brian, Janet, thank you so much for all of that. And Cory and I will be back with more coverage after this brief break. Thank you for watching the cues.

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the queue. Now here's your host. Still minimum. >> Hi, I'm student men and welcome to a special edition of Cube conversations here in our Boston area studio. Habito. Welcome to the program. First of all, to my right, a first time guests on the program Drew Clark, Who's the chief strategy officer? A click and welcome back to the program tomorrow on Carryon. Who's a senior vice president of enterprise data integration now with Click but new title to to the acquisition of Eternity. So thanks so much for joining us, gentlemen. >> Great to be here. >> All right, True, You know, to Nitti we've had on the program anytime we haven't click on the program, but maybe for audience just give us a quick level set on Click. And you know the acquisition, you know, is some exciting news. So let's start there and we'LL get into it. >> Sure, thanks. Teo and Click were a twenty five year old company and the business analytics space. A lot of people know about our products. Clint View, Click Sense. We have fifty thousand customers around the world and from large companies, too kind of small organizations. >> Yeah. Alright. Eso you No way. Talk a lot about data on our program. You know, I looked through some of the clique documentation. It resonated with me a bit because when we talk about digital transformation on our program, the key thing that different to the most between the old way of doing things the modern is I need to be data driven. They need to make my decision the the analytics piece of that s o it. Tomorrow, let's start there and talk about, you know, other than you know, that the logo on your card changes. You know what's the same? What's different going forward for you? >> Well, first, we were excited about that about this merger and the opportunity that we see in the market because there's a huge demand for data, presumably for doing new types of analytics business intelligence. They they's fueling the transformation. And part of the main challenge customers have organizations have is making more data available faster and putting it in the hands of the people who need it. So, on our part of the coming from eternity, we spend the last few years innovating and creating technology that they helped car organizations and modernize how they create new day. The architecture's to support faster data, more agility in terms ofthe enabling data for analytics. And now, together with Click, we can continue to expand that and then the end of the day, provide more data out to more people. >> S o. You know, Drew, it's interesting, you know that there's been no shortage of data out there. You know, we've for decades been talking about the data growth, but actually getting access store data. It's in silos more than ever. It's, you know, spread out all over the day. We say, you know, the challenge of our time is really building distributed architectures and data is really all over the place and, you know, customers. You know, their stats all over the places to how much a searchable how much is available. You know how much is usable? So, you know, explain a little bit, you know, kind of the challenge you're facing. And you know how you're helping move customers along that journey? >> Well, what you bring up stew is thie kind of the idea of kind of data and analytics for decision making and really, it's about that decision making to go faster, and you're going to get into that right kind of language into the right individuals. And we really believe in his concept of data literacy and data literacy was said, I think, well, between two professors who co authored a white paper. One professor was from M I t. The other one's from ever sin college, a communication school. Data literacy is the kind of the ability to read, understand, analyze and argue with data. And the more you can actually get that working inside an organization, the better you have from a decision making and the better competitive advantage you have your evening or wind, you're going to accomplish a mission. And now with what you said, the proliferation of data, it gets harder. And where do you find it? And you need it in real time, and that's where the acquisition of opportunity comes in. >> Okay, I need to ask a follow up on that. So when a favorite events I ever did with two other Emmett professors, yes, where Boston area. We're putting a lot >> of the >> mighty professors here, but any McAfee and Erik Nilsson talked about racing with the machine because, you know, it's so great, you know? You know who's the best chess player out there? Was it you know, the the human grandmaster, or was that the computer? And, you know, the studies were actually is if you put the grandmaster with the computer, they could actually beat either the best computer or the best person. So when you talk about, you know, the data and analytics everybody's looking at, you know, the guy in the ML pieces is like, OK, you know, how do these pieces go together? How does that fit into the data literacy piece? You know, the people and, you know, the machine learning >> well where you bring up is the idea of kind of augmenting the human, and we believe very much around a cognitive kind of interface of kind of the technology, the software with kind of a person and that decision making point. And so what you'LL see around our own kind of perspective is that we were part of a second generation be eye of like self service, and we've moved rapidly into this third generation, which is the cognitive kind of augmentation and the decision maker, right? And so you say this data literacy is arguing with data. Well, how do you argue and actually have the updated machine learning kind of recommendations? But it's still human making that decision. And that's an important kind of component of our kind of, like, our own kind of technology that we bring to the table. But with the two nitti, that's the data side needs to be there faster and more effective. >> Yeah. So, Itamar, please. You know Phyllis in on that. That data is the, you know, we would in big data, we talk about the three V's. So, you know, where are we today? How dowe I be ableto you know, get in leverage all of that data. >> So that's exactly where we've been focused over the last few years and worked with customers that were focused on building new data lakes, new data warehouses, looking at the clouds, building basically more than new foundations for enabling the organization to use way more data than every before. So it goes back to the volume at least one V out of the previous you mentioned. And the other one, of course, is the velocity. And how fast it is, and I've actually come to see that there are, in a sense, two dimensions velocity that come come together. One is how timely is the data you're using. And one of the big changes we're seeing in the market is that the user expectation and the business need for real time data is becoming ever more critical. If we used to talkto customers and talk about real time data because when they asked her data, they get a response very quickly. But it's last week's data. Well, that's not That doesn't cut it. So what we're seeing is that, first of all, the dimension of getting data that Israel Time Day that represents the data is it's currently second one is how quickly you can actually make that happen. So because business dynamics change match much faster now, this speed of change in the industry accelerates. Customers need the ability to put solutions together, make data available to answer business questions really faster. They cannot do it in the order ofthe month and years. They need to do it indoors off days, sometimes even hours. And that's where our solutions coming. >> Yeah, it's interesting. You know, my backgrounds. On the infrastructure side, I spent a lot of time in the cloud world. And, you know, you talk about, you know, health what we need for real time. Well, you know, used to be, you know, rolled out a server. You know, that took me in a week or month and a V m it reduced in time. Now we're, you know, containerized in communities world. And you know what? We're now talking much sort of time frame, and it's like, Oh, if you show me the way something was, you know, an hour ago. Oh, my gosh, That's not the way the world is. And I think, you know, for years we talked to the Duke world. You know what Israel time and how do I really define that? And the answer. We usually came up. It is getting the right information, you know, in the right place, into the right person. Or in the sales standpoint, it's like I need that information to save that client. They get what they need. So we still, you know, some of those terms, you know, scale in real time, short of require context. But you know what? Where does that fit into your customer discussions. >> Well, >> to part says, you bring up. You know, I think what you're saying is absolutely still true. You know, right? Data, right person, right time. It gets harder, though, with just the volumes of data. Where is it? How do you find it? How do you make sure that it's It's the the right pieces to the right place and you brought up the evolution of just the computer infrastructure and analytics likes to be close to the data. But if you have data everywhere, how do you make sure that part works? And we've been investing in a lot of our own Cloud Analytics infrastructure is now done on a micro services basis. So is running on Cuban eighties. Clusters it Khun work in whatever cloud compute infrastructure you want, be it Amazon or zur or Google or kind of your local kind of platform data centers. But you need that kind of small piece tied to the right kind of did on the side. And so that's where you see a great match between the two solutions and when you in the second part is the response from our customer's on DH after the acquisition was announced was tremendous. We II have more customer who works in a manufacturing space was I think this is exactly what I was looking to do from an analytic spaces I needed. Mohr did a real time and I was looking at a variety of solutions. She said, Thank you very much. You made my kind of life a little easier. I can narrow down Teo. One particular platform s so we have manufacturing companies. We have military kind of units and organizations. Teo Healthcare organizations. I've had just countless kind of feedback coming in along that same kind of questions. All >> right, Amaar, you know, for for for the eternity. Customers, What does this mean for them coming into the click family? >> Well, first of all, it means for them that we have a much broader opportunity to serve them. Click is a much, much bigger company. We have more resources. We can put a bear to both continuing enhance The opportunity. Offering is well as creating integrations with other products, such as collecting the click Data catalyst, which are click acquired several months ago. And there's a great synergy between those the products to the product and the collected a catalyst to provide a much more comprehensive, more an enterprise data integration platform, then beyond there to create, also see energies with other, uh, click analytic product. So again, while the click their integration platform consisting Opportunity and Click the catalyst will be independent and provide solutions for any data platform Analytic platform Cloud platform is it already does. Today we'LL continue to investigate. There's also opportunities to create unique see energies with some afar clicks technologies such as the associative Big Data Index and some others to provide more value, especially its scale. >> All right, eso drew, please expand on that a little bit if you can. There's so many pieces I know we're going to spend a little bit. I'm going deeper and some some of the other ones. But when you talk to your customers when you talk to your partners, what do you want to make sure there their key takeaways are >> right. So there is a couple of important points Itamar you made on the data integration platform, and so that's a combination of the eternity products plus the data catalysts, which was, you know, ca wired through podium data. Both of those kind of components are available and will continue to be available for our customers to use on whatever analytics platform. So we have customers who use the data for data science, and they want to work in our python and their own kind of machine learning or working with platforms like data robots. And they'LL be able to continue to do that with that same speed. They also could be using another kind of analytical visualization tool. And you know, we actually have a number of customers to do that, and we'LL continue to support that. So that's the first point, and I think you made up, which is the important one. The second is, while we do think there is some value with using Click Sense with the platform, and we've been investing on a platform called the Associative Big Data Index, and that sounds like a very complicated piece. But it's what we've done is taken are kind of unique kind of value. Proposition is an analytical company which is thehe, bility, toe work with data and ask questions of it and have the answers come to you very quickly is to be able to take that same associative experience, uh, that people use in our product and bring it down to the Data Lake. And that's where you start to see that same kind of what people love about click, view and click sense and brought into the Data Lake. And that's where Tamara was bringing up from a scale kind of perspective. So you have both kind of opportunities, >> Drew, and I really appreciate you sharing the importance of these coming together. We're going to spend some more time digging into the individual pieces there. I might be able to say, OK, are we passed the Data Lakes? Has it got to a data swamp or a data ocean? Because, you know, there are lots of sources of data and you know the like I always say Is that seems a little bit more pristine than the average environment. Eso But thank you so much and look forward to having more conversations with thanks to all right, you. And be sure to, uh, check out the cute dot net for all our videos on stew minimum. Thanks so much for watching