>>mhm Yes. >>Welcome back to the Cube coverage of Red Hat summit 21 2021. I'm john for host of the Cubans virtual this year as we start preparing to come out of Covid a lot of great conversations here happening around technology. This is the emerging technology with Red hat segment. We've got three great guests steve watt manager, distinguished engineer at Red Hat hurl saying senior software engineer Red Hat and luke Hines, who's the senior software engineer as well. We got the engineering team steve, you're the the team leader, emerging tech within red hat. Always something to talk about. You guys have great tech chops that's well known in the industry and I'll see now part of IBM you've got a deep bench um what's your, how do you view emerging tech um how do you apply it? How do you prioritize, give us a quick overview of the emerging tech scene at Redhead? >>Yeah, sure. It's quite a conflated term. The way we define emerging technologies is that it's a technology that's typically 18 months plus out from commercialization and this can sometimes go six months either way. Another thing about it is it's typically not something on any of our product roadmaps within the portfolio. So in some sense, it's often a bit of a surprise that we have to react to. >>So no real agenda. And I mean you have some business unit kind of probably uh but you have to have first principles within red hat, but for this you're looking at kind of the moon shot, so to speak, the big game changing shifts. Quantum, you know, you got now supply chain from everything from new economics, new technology because that kind of getting it right. >>Yeah, I think we we definitely use a couple of different techniques to prioritize and filter what we're doing. And the first is something will pop up and it will be like, is it in our addressable market? So our addressable market is that we're a platform software company that builds enterprise software and so, you know, it's got to be sort of fit into that is a great example if somebody came up came to us with an idea for like a drone command center, which is a military application, it is an emerging technology, but it's something that we would pass on. >>Yeah, I mean I didn't make sense, but he also, what's interesting is that you guys have an open source D N A. So it's you have also a huge commercial impact and again, open sources of one of the 4th, 5th generation of awesomeness. So, you know, the good news is open source is well proven. But as you start getting into this more disruption, you've got the confluence of, you know, core cloud, cloud Native, industrial and IOT edge and data. All this is interesting, right. This is where the action is. How do you guys bring that open source community participation? You got more stakeholders emerging there before the break down, how that you guys manage all that complexity? >>Yeah, sure. So I think that the way I would start is that, you know, we like to act on good ideas, but I don't think good ideas come from any one place. And so we typically organize our teams around sort of horizontal technology sectors. So you've got, you know, luke who's heading up security, but I have an edge team, cloud networking team, a cloud storage team. Cloud application platforms team. So we've got these sort of different areas that we sort of attack work and opportunities, but you know, the good ideas can come from a variety of different places. So we try and leverage co creation with our customers and our partners. So as a good example of something we had to react to a few years ago, it was K Native right? So the sort of a new way of doing service um and eventing on top of kubernetes that was originated from google. Whereas if you look at Quantum right, ibms, the actual driver on quantum science and uh that originated from IBM were parole. We'll talk about exactly how we chose to respond to that. Some things are originated organically within the team. So uh luke talking about six law is a great example of that, but we do have a we sort of use the addressable market as a way to sort of focus what we're doing and then we try and land it within our different emerging technologies teams to go tackle it. Now. You asked about open source communities, which are quite interesting. Um so typically when you look at an open source project, it's it's there to tackle a particular problem or opportunity. Sometimes what you actually need commercial vendors to do is when there's a problem or opportunity that's not tackled by anyone open source project, we have to put them together to create a solution to go tackle that thing. That's also what we do. And so we sort of create this bridge between red hat and our customers and multiple different open source projects. And this is something we have to do because sometimes just that one open source project doesn't really care that much about that particular problem. They're motivated elsewhere. And so we sort of create that bridge. >>We got two great uh cohorts here and colleagues parole on the on the Quantum side and you got luke on the security side. Pro I'll start with you. Quantum is also a huge mentioned IBM great leadership there. Um Quantum on open shift. I mean come on. Just that's not coming together for me in my mind, it's not the first thing I think of. But it really that sounds compelling. Take us through, you know, um how this changes the computing landscape because heterogeneous systems is what we want and that's the world we live in. But now with distributed systems and all kinds of new computing modules out there, how does this makes sense? Take us through this? >>Um yeah john's but before I think I want to explain something which is called Quantum supremacy because it plays very important role in the road map that's been working on. So uh content computers, they are evolving and they have been around. But right now you see that they are going to be the next thing. And we define quantum supremacy as let's say you have any program that you run or any problems that you solve on a classical computer. Quantum computer would be giving you the results faster. So that is uh, that is how we define content supremacy when the same workload are doing better on content computer than they do in a classical computer. So the whole the whole drive is all the applications are all the companies, they're trying to find avenues where Quantum supremacy are going to change how they solve problems or how they run their applications. And even though quantum computers they are there. But uh, it is not as easily accessible for everyone to consume because it's it's a very new area that's being formed. So what, what we were thinking, how we can provide a mechanism that you can you don't connect this deal was you have a classical world, you have a country world and that's where a lot of thought process been. And we said okay, so with open shift we have the best of the classical components. You can take open shift, you can develop, deploy around your application in a country raised platform. What about you provide a mechanism that the world clothes that are running on open shift. They are also consuming quantum resources or they are able to run the competition and content computers take the results and integrate them in their normal classical work clothes. So that is the whole uh that was the whole inception that we have and that's what brought us here. So we took an operator based approach and what we are trying to do is establish the best practices that you can have these heterogeneous applications that can have classical components. Talking to our interacting the results are exchanging data with the quantum components. >>So I gotta ask with the rise of containers now, kubernetes at the center of the cloud native value proposition, what work clothes do you see benefiting from the quantum systems the most? Is there uh you guys have any visibility on some of those workloads? >>Uh So again, it's it's a very new, it's very it's really very early in the time and uh we talk with our customers and every customers, they are trying to identify themselves first where uh these contacts supremacy will be playing the role. What we are trying to do is when they reach their we should have a solution that they that they could uh use the existing in front that they have on open shift and use it to consume the content computers that may or may not be uh, inside their own uh, cloud. >>Well I want to come back and ask you some of the impact on the landscape. I want to get the look real quick because you know, I think security quantum break security, potentially some people have been saying, but you guys are also looking at a bunch of projects around supply chain, which is a huge issue when it comes to the landscape, whether its components on a machine in space to actually handling, you know, data on a corporate database. You guys have sig store. What's this about? >>Sure. Yes. So sick store a good way to frame six store is to think of let's encrypt and what let's encrypt did for website encryption is what we plan to do for software signing and transparency. So six Door itself is an umbrella organization that contains various different open source projects that are developed by the Six door community. Now, six door will be brought forth as a public good nonprofit service. So again, we're very much basing this on the successful model of let's Encrypt Six door will will enable developers to sign software artifacts, building materials, containers, binaries, all of these different artifacts that are part of the software supply chain. These can be signed with six door and then these signing events are recorded into a technology that we call a transparency log, which means that anybody can monitor signing events and a transparency log has this nature of being read only and immutable. It's very similar to a Blockchain allows you to have cryptographic proof auditing of our software supply chain and we've made six stores so that it's easy to adopt because traditional cryptographic signing tools are a challenge for a lot of developers to implement in their open source projects. They have to think about how to store the private keys. Do they need specialist hardware? If they were to lose a key then cleaning up afterwards the blast radius. So the key compromise can be incredibly difficult. So six doors role and purpose essentially is to make signing easy easy to adopt my projects. And then they have the protections around there being a public transparency law that could be monitored. >>See this is all about open. Being more open. Makes it more secure. Is the >>thief? Very much yes. Yes. It's that security principle of the more eyes on the code the better. >>So let me just back up, is this an open, you said it's gonna be a nonprofit? >>That's correct. Yes. Yes. So >>all of the code is developed by the community. It's all open source. anybody can look at this code. And then we plan alongside the Linux Foundation to launch a public good service. So this will make it available for anybody to use if your nonprofit free to use service. >>So luke maybe steve if you can way into on this. I mean, this goes back. If you look back at some of the early cloud days, people were really trashing cloud as there's no security. And cloud turns out it's a more security now with cloud uh, given the complexity and scale of it, does that apply the same here? Because I feel this is a similar kind of concept where it's open, but yet the more open it is, the more secure it is. And then and then might have to be a better fit for saying I. T. Security solution because right now everyone is scrambling on the I. T. Side. Um whether it's zero Trust or Endpoint Protection, everyone's kind of trying everything in sight. This is kind of changing the paradigm a little bit on software security. Could you comment on how you see this playing out in traditional enterprises? Because if this plays out like the cloud, open winds, >>so luke, why don't you take that? And then I'll follow up with another lens on it which is the operate first piece. >>Sure. Yes. So I think in a lot of ways this has to be open this technology because this way we have we have transparency. The code can be audited openly. Okay. Our operational procedures can be audit openly and the community can help to develop not only are code but our operational mechanisms so we look to use technology such as cuba netease, open ship operators and so forth. Uh Six store itself runs completely in a cloud. It is it is cloud native. Okay, so it's very much in the paradigm of cloud and yeah, essentially security, always it operates better when it's open, you know, I found that from looking at all aspects of security over the years that I've worked in this realm. >>Okay, so just just to add to that some some other context around Six Law, that's interesting, which is, you know, software secure supply chain, Sixth floor is a solution to help build more secure software secure supply chains, more secure software supply chain. And um so um there's there's a growing community around that and there's an ecosystem of sort of cloud native kubernetes centric approaches for building more secure software. I think we all caught the solar winds attack. It's sort of enterprise software industry is responding sort of as a whole to go and close out as many of those gaps as possible, reduce the attack surface. So that's one aspect about why 6th was so interesting. Another thing is how we're going about it. So we talked about um you mentioned some of the things that people like about open source, which is one is transparency, so sunlight is the best disinfectant, right? Everybody can see the code, we can kind of make it more secure. Um and then the other is agency where basically if you're waiting on a vendor to go do something, um if it's proprietary software, you you really don't have much agency to get that vendor to go do that thing. Where is the open source? If you don't, if you're tired of waiting around, you can just submit the patch. So, um what we've seen with package software is with open source, we've had all this transparency and agency, but we've lost it with software as a service, right? Where vendors or cloud service providers are taking package software and then they're making it available as a service but that operationalize ng that software that is proprietary and it doesn't get contributed back. And so what Lukes building here as long along with our partners down, Lawrence from google, very active contributor in it. Um, the, is the operational piece to actually run sixth or as a public service is part of the open source project so people can then go and take sixth or maybe run it as a smaller internal service. Maybe they discover a bug, they can fix that bug contributed back to the operational izing piece as well as the traditional package software to basically make it a much more robust and open service. So you bring that transparency and the agency back to the SAS model as well. >>Look if you don't mind before, before uh and this segment proportion of it. The importance of immune ability is huge in the world of data. Can you share more on that? Because you're seeing that as a key part of the Blockchain for instance, having this ability to have immune ability. Because you know, people worry about, you know, how things progress in this distributed world. You know, whether from a hacking standpoint or tracking changes, Mutability becomes super important and how it's going to be preserved in this uh new six doorway. >>Oh yeah, so um mutability essentially means cannot be changed. So the structure of something is set. If it is anyway tampered or changed, then it breaks the cryptographic structure that we have of our public transparency service. So this way anybody can effectively recreate the cryptographic structure that we have of this public transparency service. So this mutability provides trust that there is non repudiation of the data that you're getting. This data is data that you can trust because it's built upon a cryptographic foundation. So it has very much similar parallels to Blockchain. You can trust Blockchain because of the immutable nature of it. And there is some consensus as well. Anybody can effectively download the Blockchain and run it themselves and compute that the integrity of that system can be trusted because of this immutable nature. So that's why we made this an inherent part of Six door is so that anybody can publicly audit these events and data sets to establish that there tamper free. >>That is a huge point. I think one of the things beyond just the security aspect of being hacked and protecting assets um trust is a huge part of our society now, not just on data but everything, anything that's reputable, whether it's videos like this being deep faked or you know, or news or any information, all this ties to security again, fundamentally and amazing concepts. Um I really want to keep an eye on this great work. Um Pearl, I gotta get back to you on Quantum because again, you can't, I mean people love Quantum. It's just it feels like so sci fi and it's like almost right here, right, so close and it's happening. Um And then people get always, what does that mean for security? We go back to look and ask them well quantum, you know, crypto But before we get started I wanted, I'm curious about how that's gonna play out from the project because is it going to be more part of like a C. N. C. F. How do you bring the open source vibe to Quantum? >>Uh so that's a very good question because that was a plan, the whole work that we are going to do related to operators to enable Quantum is managed by the open source community and that project lies in the casket. So casket has their own open source community and all the modification by the way, I should first tell you what excuse did so cute skin is the dedicate that you use to develop circuits that are run on IBM or Honeywell back in. So there are certain Quantum computers back and that support uh, circuits that are created using uh Houston S ticket, which is an open source as well. So there is already a community around this which is the casket. Open source community and we have pushed the code and all the maintenance is taken care of by that community. Do answer your question about if we are going to integrate it with C and C. F. That is not in the picture right now. We are, it has a place in its own community and it is also very niche to people who are working on the Quantum. So right now you have like uh the contributors who who are from IBM as well as other uh communities that are specific specifically working on content. So right now I don't think so, we have the map to integrated the C. N. C. F. But open source is the way to go and we are on that tragic Torri >>you know, we joke here the cube that a cubit is coming around the corner can can help but we've that in you know different with a C. But um look, I want to ask you one of the things that while you're here your security guru. I wanted to ask you about Quantum because a lot of people are scared that Quantum is gonna crack all the keys on on encryption with his power and more hacking. You're just comment on that. What's your what's your reaction to >>that? Yes that's an incredibly good question. This will occur. Okay. And I think it's really about preparation more than anything now. One of the things that we there's a principle that we have within the security world when it comes to coding and designing of software and this aspect of future Cryptography being broken. As we've seen with the likes of MD five and Sha one and so forth. So we call this algorithm agility. So this means that when you write your code and you design your systems you make them conducive to being able to easily swap and pivot the algorithms that use. So the encryption algorithms that you have within your code, you do not become too fixed to those. So that if as computing gets more powerful and the current sets of algorithms are shown to have inherent security weaknesses, you can easily migrate and pivot to a stronger algorithms. So that's imperative. Lee is that when you build code, you practice this principle of algorithm agility so that when shot 256 or shot 5 12 becomes the shar one. You can swap out your systems. You can change the code in a very least disruptive way to allow you to address that floor within your within your code in your software projects. >>You know, luke. This is mind bender right there. Because you start thinking about what this means is when you think about algorithmic agility, you start thinking okay software countermeasures automation. You start thinking about these kinds of new trends where you need to have that kind of signature capability. You mentioned with this this project you're mentioning. So the ability to actually who signs off on these, this comes back down to the paradigm that you guys are talking about here. >>Yes, very much so. There's another analogy from the security world, they call it turtles all the way down, which is effectively you always have to get to the point that a human or a computer establishes that first point of trust to sign something off. And so so it is it's a it's a world that is ever increasing in complexity. So the best that you can do is to be prepared to be as open as you can to make that pivot as and when you need to. >>Pretty impressive, great insight steve. We can talk for hours on this panel, emerging tech with red hat. Just give us a quick summary of what's going on. Obviously you've got a serious brain trust going on over there. Real world impact. You talk about the future of trust, future of software, future of computing, all kind of going on real time right now. This is not so much R and D as it is the front range of tech. Give us a quick overview of >>Yeah, sure, yeah, sure. The first thing I would tell everyone is go check out next that red hat dot com, that's got all of our different projects, who to contact if you're interested in learning more about different areas that we're working on. And it also lists out the different areas that we're working on, but just as an overview. So we're working on software defined storage, cloud storage. Sage. Well, the creator of Cf is the person that leads that group. We've got a team focused on edge computing. They're doing some really cool projects around um very lightweight operating systems that and kubernetes, you know, open shift based deployments that can run on, you know, devices that you screw into the sheet rock, you know, for that's that's really interesting. Um We have a cloud networking team that's looking at over yin and just intersection of E B P F and networking and kubernetes. Um and then uh you know, we've got an application platforms team that's looking at Quantum, but also sort of how to advance kubernetes itself. So that's that's the team where you got the persistent volume framework from in kubernetes and that added block storage and object storage to kubernetes. So there's a lot of really exciting things going on. Our charter is to inform red hats long term technology strategy. We work the way my personal philosophy about how we do that is that Red hat has product engineering focuses on their product roadmap, which is by nature, you know, the 6 to 9 months. And then the longer term strategy is set by both of us. And it's just that they're not focused on it. We're focused on it and we spend a lot of time doing disambiguate nation of the future and that's kind of what we do. We love doing it. I get to work with all these really super smart people. It's a fun job. >>Well, great insights is super exciting, emerging tack within red hat. I'll see the industry. You guys are agile, your open source and now more than ever open sources, uh, product Ization of open source is happening at such an accelerated rate steve. Thanks for coming on parole. Thanks for coming on luke. Great insight all around. Thanks for sharing. Uh, the content here. Thank you. >>Our pleasure. >>Thank you. >>Okay. We were more, more redhead coverage after this. This video. Obviously, emerging tech is huge. Watch some of the game changing action here at Redhead Summit. I'm john ferrier. Thanks for watching. Yeah.

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum, World 2019 brought to you by the M Wear and its ecosystem partners. >> Hey, welcome back, everyone. Live Cube coverage of the emerald 2019 were here in San Francisco, California Mosconi North Lobby. Two sets Our 10th year covering the emerald in our 20th year of Of of our seasons of covering Me to be enterprised Tech. I'm Jeffrey Day Volonte student Justin Warren breaking down day to Cube insights segment. Dave's Do You Do You're on Set Valley set this the meadow set because it's got the steamboat chirping birds behind us. Justin, you've been doing some interviews out on the floor as well. Checking the story's out. All the news is out. Day one was all the big corporate stuff. Today was the product technology news stew. I'll go to you first. What's the assessment on your take on the M, where obviously they're reinventing themselves? Jerry Chen, who we interviewed, said this is Act three of'em where they keep on adding more and more prostitute their core, your thoughts on what's going on. >> So the biggest whore I've seen is the discussion of Tom Zoo, which really talking those cloud native applications. And if you break down VM wear, it's like many companies that said, There's the, you know, core product of the company. It is vey sphere. It is the legacy for what we have and it's not going anywhere, and it's changing. But, you know, then there's the modernization project Pacific howto a bridge to the multi cloud world. How do I bridge Kubernetes is going to come into the sphere and do that? But then there's the application world into the thing I've been. You know, the existential threat to VM, where I've been talking about forever is if we sas if I and cloud If I and all the APS go away, the data centers disappear in Vienna, where dominant, the data center is left out in the cold. So, you know, Pivotal was driving down that that path. They've done a lot of acquisitions, so love directionally where towns who's going time will tell whether they can play in that market. This is not a developer conference. We go to plenty of developer events, so, you know, that's you know, some of the places. I see you know, and and still, you know, >> narrator conference. You're right. Exactly Right. And just I want to get your thoughts, too, because you've been blocking heavily on this topic as well. Dev Ops in general, commenting on the Cube. You know, the reality and the reality, Uh, and the reality of situation from the the announcement. That's a vapor. They're doing some demos. They're really product directions. So product directions is always with VM. Where does it? It's not something that their shameful love, that's what they do. That's what they put out. It's not bakery >> company. It's a statement, A statement of >> direction. We were talking hybrid cloud in 2012 when I asked Pet guess it was a halfway house. He blew a gasket. And now, five years later, the gestation period for hybrid was that. But the end was happy to have the data center back in the back. In the play here, your thoughts on >> Yeah. So this conference is is, I think, a refreshing return to form. So, Vienna, where is as you say, this is an operators conference in Vienna. Where is for operators? It's not Four Dev's. There was a period there where cloud was scary And it was all this cloud native stuff in Vienna where tried to appeal to this new market, I guess tried to dress up and as something that it really wasn't and it didn't pull it off and we didn't It didn't feel right. And now Veum Way has decided that Well, no, actually, this is what they and where is about. And no one could be more Veum where than VM wear. So it's returning to being its best self. And I think you >> can software. They know software >> they know. So flick. So the addition of putting predict Enzo in and having communities in there, and it's to operate the software. So it's it's going to be in there an actual run on it, and they wanna have kubernetes baked into the sphere. So that now, yeah, we'll have new a new absent. Yeah, there might be SAS eps for the people who are consuming them, but they're gonna run somewhere. And now we could run them on van. Wait. Whether it's on Silent at the edge could be in the cloud your Veum wear on eight of us. >> David David so I want to get your thoughts just don't want to jump into because, you know, I love pivotal what they've done. I've always felt as a standalone company they probably couldn't compete with Amazon to scale what's going on in the other things. But bring it back in the fold in VM, where you mentioned this a couple of our interviews yesterday, Dave, and still you illuminate to to the fact of the cloud native world coming together. It's better inside VM wear because they can package pivotal and not have to bet the ranch on the outcome in the marketplace where this highly competitive statements out there so you get the business value of Pivotal. The upside now can be managed. Do your thoughts first, then go to date >> about Pivotal. Yeah, as >> an integrated, integrated is better for the industry than trying to bet the ranch on a pier play >> right? So, John, yesterday we had a little discussion about hybrid and multi cloud and still early about there, but the conversation of past five years ago was very different from the discussion. Today, Docker had a ripple effect with Containers and Veum. Where is addressing that and it made sense for Pivotal Cut to come home, if you will. They still have the Pivotal Labs group that can work with customers going through that transformation and a number of other pieces toe put together. But you ve m where is doing a good enough job to give customers the comfort that we can move you forward to the cloud. You don't have to abandon us and especially all those people that do VM Where is they don't have to be frozen where they are >> a business value. >> Well, I think you've got to start with the transaction and provide a historical context. So this goes back to what I used to call the misfit toys. The Federation. David Golden's taking bits and pieces of of of Dragon Pearl of assets in side of E, M. C and V M wear and then creating Pivotal out of whole cloth. They need an I P O. Michael Dell maintained 70% ownership of the company and 96% voting shares floated. The stock stock didn't do well, bought it back on 50 cents on the dollar. A so what the AIPO price was and then took a of Got a Brit, brought back a $4 billion asset inside of the M wear and paid $900 million for it. So it's just the brilliant financial transaction now, having said all that, what is the business value of this? You know, when I come to these shows, I'd liketo compare what they say in the messaging and the keynotes to what practitioners are saying in the practitioners last night were saying a couple of things. First of all, they're concerned about all the salmon. A like one. Practitioners said to me, Look, if it weren't for all these acquisitions that they announced last minute, what would we be hearing about here? It would have been NSX and V san again, so there's sort of a little concerns there. Some of the practitioners I talked to were really concerned about integration. They've done a good job with Nasasira, but some of the other acquisitions that they may have taken longer to integrate and customers are concerned, and we've seen this movie before. We saw the DMC. We certainly saw the tell. We're seeing it again now, at the end where Veum where? Well, they're very good at integrating companies. Sometimes that catches up to you. The last thing I'll say is we've been pushing You just mentioned it, Justin. On Dev's not a deaf show. Pivotal gives VM where the opportunity to whether it's a different show are an event within the event to actually attract the depths. But I would say in the multi cloud world, VM wears sitting in a good position. With the exception of developers pivotal, I think it's designed to solve that problem. Just tell >> your thoughts. >> Do you think that Veum, where is, is at risk of becoming a portfolio company just like a M A. M. C. Watts? Because it certainly looks at the moment to me like we look at all the different names for things, and I just look at the brand architecture of stuff. There are too many brands. There are too many product names, it's too confusing, and there's gonna have to be a culottes some point just to make it understandable for customers. Otherwise, we're just gonna end up with this endless sprawl, and we saw what the damage that did it. At present, I am saying >> it's a great point and Joseph Joe to cheese used to say that overlap is better than gaps, and I and I agree with him to appoint, you know better until it's not. And then Michael Dell came in and Bar came and said, Look, if we're gonna compete with Amazon's cost structure, we have to clean this mess up and that's what they've been doing it a lot of hard work on that. And so, yeah, they do risk that. I think if they don't do that integration, it's hard to do that. Integration, as you know, it takes time. Um, and so I have Right now. All looks good, right? Right down the middle. As you say, John, are >> multi cloud. Big topic gestation period is going to take five years to seven years. When the reality multi cloud a debate on Twitter last night, someone saying, I'm doing multi cloud today. I mean, we had Gelsinger's layout, the definition of multi cloud. >> Well, he laid out his definition definition. Everyone likes to define its. It's funny how, and we mentioned this is a stew and I earlier on the other set, cloud were still arguing about what cloud means exit always at multi cloud, which kind of multi cloud is a hybrid bowl over. And then you compare that to EJ computing, which computing was always going on. And then someone just came along and gave it a name and everyone just went, huh? OK, and go on with their lives. And so why is cloud so different and difficult for people to agree on what the thing is? >> There's a lot of money being made and lost, That's why >> right day the thing I've said is for multi cloud to be a real thing, it needs to be more valuable to a customer than the sum of its pieces on. And, you know, we know we're gonna be an Amazon reinvent later this year we will be talking, you know? Well, they will not be talking multi cloud. We might be talking about it, but >> they'll be hinting to hybrid cloud may or may not say >> that, you know, hybrid is okay in their world with outpost and everything they're doing in there partnering with VM wear. But you know, the point I've been looking at here is you know, management of multi vendor was atrocious. And, you know, why do we think we're going to any better. David, who hired me nine years ago. It was like I could spend my entire career saying, Management stinks and security needs to be, >> you know, So I want to share lawyers definition. They published in Wicked Bon on Multiply Multi Cloud Hybrid Cloudy, Putting together True Hybrid Cloud Multiply Any application application service can run on any node of the hybrid cloud without rewriting, re compiling or retesting. True hybrid cloud architectures have a consistent set of hardware. Software service is a P I is with integrated network security data and control planes that are native to and display the characteristics of public cloud infrastructure is a service. These attributes could be identically resident on other hybrid nodes independent of location, for example, including on public clouds on Prem or at the edge. That ain't happening. It's just not unless you have considered outposts cloud a customer azure stack. Okay, and you're gonna have collections of those. So that vision that he laid out, I just I think it's gonna >> be David. It's interesting because, you know, David and I have some good debates on this. I said, Tell me a company that has been better at than VM wear about taking a stack and letting it live on multiple hardware's. You know, I've got some of those cars are at a big piece last weekend talking about, you know, when we had to check the bios of everything and when blade Service rolled out getting Veum whereto work 15 years ago was really tough. Getting Veum were to work today, but the >> problem is you're gonna have outposts. You're gonna have project dimensions installed. You're gonna have azure stacks installed. You're gonna have roll your own out there. And so yeah, VM where is gonna work on all >> those? And it's not gonna be a static situation because, you know, when I talk to customers and if they're using V M where cloud on AWS, it's not a lift and shift and leave it there, Gonna modernize their things that could start using service is from the public cloud and they might migrate some of these off of the VM where environment, which I think, is the thing that I am talking to customers and hearing about that It's, you know, none of these situations are Oh, I just put it there and it's gonna live there for years. It's constantly moving and changing, and that is a major threat to VM wears multi clouds, >> Traffic pushes. Is it technically feasible without just insanely high degrees of homogeneity? That's that's the question. >> I I don't think it is and or not. I don't think it's a reasonable thing to expect anyway, because any enterprise you have any M and a activity, and all of a sudden you've got more than one that's always been true, and it will always be true. So if someone else makes a different choice and you buy them, then we'll have both. >> So maybe that's not a fair definition, but that's kind of what what? One could infer that. I think the industry is implying that that is hybrid multi club because that's the nirvana that everybody wants. >> Yeah, the only situation I can see where that could maybe come true would be in something like communities where you're running things on as an abstraction on top off everything else, and that that is a common abstraction that everyone agrees on and builds upon. But we're already seeing how that works out in real life. If >> I'm >> using and Google Antos. I can't easily move it to P. K s or open shift. There's English Kubernetes, as Joe Beta says, is not a magic layer, and everybody builds. On top of >> it, is it? Turns out it's actually not that easy. >> Well, and plus people are taken open source code, and then they're forking it and it building their own proprietary systems and saying, Hey, here's our greatest thing. >> Well, the to the to the credit of CNC, if Kubernetes. Does have a kind of standardized, agreed to get away away from that particular issue. So that's where it stands a better chance and say unfortunately, open stack. So because we saw a bit of that change of way, want to go this way? And we want to go that way. So there's a lot of seeing and zagging, at least with communities. You have a kind of common framework. But even just the implementation of that writing it, >> I love Cooper. I think I've been a big fan of committed from Day one. I think it's a great industry initiative. Having it the way it's rolling out is looking very good. I like it a lot. The comments that we heard on the Cube of Support. Some of my things that I'm looking at is for C N C s Q. Khan Come coop con Coming up is what happened with Kay, native and SDO because that's what I get to see the battleground for above Goober Netease. You see, that's what differentiates again. That's where that the vendors are gonna start to differentiate who they are. So I think carbonates. It could be a great thing. And I think what I learned here was virtualization underneath Kubernetes. It doesn't matter if you want to run a lot. Of'em Furat scale No big deal run Cooper's on top. You want to run in that bare metal? God bless you, >> Go for it. I think this use cases for both. >> That's why I particularly like Tenzer is because for those customers who wanna have a bit of this, cupidity is I don't want to run it myself. It's too hard. But if I trust Vienna where to be able to run that in to upgrade it and give me all of the goodness about operating it in the same way that I do the end where again we're in and I'll show. So now I can have stuff I already know in love, and I can answer incriminating on top of it. >> All right, But who's gonna mess up Multi clouds do. Who's the vendor? I'm not >> even saying it s so you can't mess up something that >> who's gonna think vision, this vision of multi cloud that the entire industry is putting forth who's gonna throw a monkey? The rich? Which vendor? Well, screw it. So >> you know, licensing usually can cause issues. You know, our friend Corey Crane with a nice article about Microsoft's licensing changes there. You know, there are >> lots of Amazon's plays. Oh, yeah. Okay. Amazon is gonna make it. >> A multi clock is not in the mob, >> but yet how could you do multi cloud without Amazon? >> They play with >> control. My the chessboard on my line has been Amazon is in every multi cloud because if you've got multiple clouds, there's a much greater than likely chance >> I haven't been. You know, my feeling is in looking at the history of how multi vendor of all from the I T industry from proprietary network operating systems, many computers toe open systems, D c P I P Web, etcetera. What's going on now is very interesting, and I think the sea so ce of the canary in the coal mine, not Cee Io's because they like multi vendor. They want multiple clouds. They're comfortable that they got staff for that si sos have pressure, security. They're the canary in the coal mine and all the seasons lights, while two are all saying multi clouds b s because they're building stacks internally and they want to create their own technology for security reasons and then build a P eyes and make a P. I's the supplier relationship and saying, Hey, supplier, if you want to work with me, me support my stack I think that is an interesting indication. What that means is that the entire multi cloud thing means we're pick one clown build on, have a backup. We'll deal with multiple clouds if there's workloads in there but primary one cloud, we'll be there. And I think that's gonna be the model. Yes, still be multiple clouds and you got azure and get office 3 65 That's technically multi cloud, >> but I want to make a point. And when pats on we joke about The cul de sac is hybrid cloud a cul de sac, and you've been very respectful and basically saying Yap had okay, But But But you were right, Really. What's hybrid would show me a hybrid cloud. It's taken all this time to gestate you where you see Federated Applications. It's happening. You have on prim workloads, and you have a company that has public cloud workloads. But they're not. Hybrid is >> the region. Some we'll talk about it, even multi. It is an application per cloud or a couple of clouds that you do it, but it's right. Did he follow the sun thing? That we might get there 15 years ago? Is >> no. You're gonna have to insist that this >> data moving around, consistent >> security, governance and all the organizational edicts across all those platforms >> the one place, like all week for that eventually and this is a long way off would be if you go with Serverless where it's all functions and now it's about service composition and I don't care where it lives. I'm just consuming a service because I have some data that I want to go on process and Google happens to have the best machine learning that I need to do it on that data. Also use that service. And then when I actually want to run the workload and host it somewhere else, I drop it into a CD in with an application that happens to run in AWS. >> Guys wrapping up day to buy It's just gonna ask, What is that animal? It must be an influence because hasn't said a word. >> Thistles. The famous blue cow She travels everywhere with me, >> has an INSTAGRAM account. >> She used to have an instagram. She now she doesn't. She just uses my Twitter account just in time to time. >> I learned a lot about you right now. Thanks for sharing. Great to have you. Great as always, Great commentary. Thanks for coming with Bay three tomorrow. Tomorrow. I want to dig into what's in this for Del Technologies. What's the play there when I unpacked, that is tomorrow on day three million. If there's no multi cloud and there's a big tam out there, what's in it for Michael Dell and BM where it's Crown Jewel as the main ingredient guys, thanks for coming stupid in Manchester words, David Want them? John, Thanks for watching day, too. Inside coverage here are wrap up. Thanks for watching

>> from Cambridge, Massachusetts. It's the Cube covering M I T. Chief data officer and information quality Symposium 2019. Brought to you by Silicon Angle Media. >> Welcome back to M I. T. In Cambridge, Massachusetts. Everybody. You're watching the cube. The leader in live tech coverage. This is M I t CDO I Q the chief data officer and information quality conference. Someday Volonte with my co host, Paul Galen. Professor Dr Stewart, Mad Nick is here. Longtime Cube alum. Ah, long time professor at M i. T soon to be retired, but we're really grateful that you're taking your time toe. Come on. The Cube is great to see you again. >> It's great to see you again. It's been a long time. She worked together and I really appreciate the opportunity to share our spirits. Hear our mighty with your audience. Well, it's really been fun >> to watch this conference evolved were full and it's really amazing. We have to move to a new venue >> next year. I >> understand. And data we talk about the date explosion all the time, But one of the areas that you're focused on and you're gonna talk about today is his ethics and privacy and data causes so many concerns in those two areas. But so give us the highlight of what you're gonna discuss with the audience today. We'll get into >> one of things that makes it so challenging. It is. Data has so many implications. Tow it. And that's why the issue of ethics is so hard to get people to reach agreement on it. We're talking people regarding medicine and the idea big data and a I so know, to be able to really identify causes you need mass amounts of data. That means more data has to be made available as long as it's Elsa data, not mine. Well, not my backyard. If he really So you have this issue where on the one hand, people are concerned about sharing the data. On the other hand, there's so many valuable things would gain by sharing data and getting people to reach agreement is a challenge. Well, one of things >> I wanted to explore with you is how things have changed you back in the day very familiar with Paul you as well with Microsoft, Department of Justice, justice, FTC issues regarding Microsoft. And it wasn't so much around data was really around browsers and bundling things today. But today you see Facebook and Google Amazon coming under fire, and it's largely data related. Listen, Liz Warren, last night again break up big tech your thoughts on similarities and differences between sort of the monopolies of yesterday and the data monopolies of today Should they be broken up? What do you thought? So >> let me broaden the issue a little bit more from Maryland, and I don't know how the demographics of the audience. But I often refer to the characteristics that millennials the millennials in general. I ask my students this question here. Now, how many of you have a Facebook account in almost every class? Facebook. You realize you've given away a lot of nation about yourself. It it doesn't really occurred to them. That may be an issue. I was told by someone that in some countries, Facebook is very popular. That's how they cordoned the kidnappings of teenagers from rich families. They track them. They know they're going to go to this basketball game of the soccer match. You know exactly what I'm going after it. That's the perfect spot to kidnap them, so I don't know whether students think about the fact that when they're putting things on Facebook than making so much of their life at risk. On the other hand, it makes their life richer, more enjoyable. And so that's why these things are so challenging now, getting back to the issue of the break up of the big tech companies. One of the big challenges there is that in order to do the great things that big data has been doing and the things that a I promises do you need lots of data. Having organizations that can gather it all together in a relatively systematic and consistent manner is so valuable breaking up the tech companies. And there's some reasons why people want to do that, but also interferes with that benefit. And that's why I think it's gonna be looked at real Kim, please, to see not only what game maybe maybe breaking up also what losses of disadvantages we're creating >> for ourselves so example might be, perhaps it makes United States less competitive. Visa VI China, in the area of machine intelligence, is one example. The flip side of that is, you know Facebook has every incentive to appropriate our data to sell ads. So it's not an easy, you know, equation. >> Well, even ads are a funny situation for some people having a product called to your attention that something actually really want. But you never knew it before could be viewed as a feature, right? So, you know, in some case of the ads, could be viewed as a feature by some people. And, of course, a bit of intrusion by other people. Well, sometimes we use the search. Google, right? Looking >> for the ad on the side. No longer. It's all ads. You know >> it. I wonder if you see public public sentiment changing in this respect. There's a lot of concerns, certainly at the legislative level now about misuse of data. But Facebook user ship is not going down. Instagram membership is not going down. Uh, indication is that that ordinary citizens don't really care. >> I know that. That's been my I don't have all the data. Maybe you may have seen, but just anecdotally and talking to people in the work we're doing, I agree with you. I think most people maybe a bit dramatic, but at a conference once and someone made a comment that there has not been the digital Pearl Harbor yet. No, there's not been some event that was just so onerous. Is so all by the people. Remember the day it happened kind of thing. And so these things happen and maybe a little bit of press coverage and you're back on your Facebook. How their instagram account the next day. Nothing is really dramatic. Individuals may change now and then, but I don't see massive changes. But >> you had the Equifax hack two years ago. 145,000,000 records. Capital one. Just this week. 100,000,000 records. I mean, that seems pretty Pearl Harbor ish to me. >> Well, it's funny way we're talking about that earlier today regarding different parts of the world. I think in Europe, the general, they really seem to care about privacy. United States that kind of care about privacy in China. They know they have no privacy. But even in us where they care about privacy, exactly how much they care about it is really an issue. And in general it's not enough to move the needle. If it does, it moves it a little bit about the time when they show that smart TVs could be broken into smart. See, TV sales did not Dutch an inch. Not much help people even remember that big scandal a year ago. >> Well, now, to your point about expects, I mean, just this week, I think Equifax came out with a website. Well, you could check whether or not your credentials were. >> It's a new product. We're where we're compromised. And enough in what has been >> as head mind, I said, My wife says it's too. So you had a choice, you know, free monitoring or $125. So that way went okay. Now what? You know, life goes >> on. It doesn't seem like anything really changes. And we were talking earlier about your 1972 book about cyber security, that many of the principles and you outlined in that book are still valid today. Why are we not making more progress against cybercriminals? >> Well, two things. One thing is you gotta realize, as I said before, the Cave man had no privacy problems and no break in problems. But I'm not sure any of us want to go back to caveman era because you've got to realize that for all these bad things. There's so many good things that are happening, things you could now do, which a smartphone you couldn't even visualize doing a decade or two ago. So there's so much excitement, so much for momentum, autonomous cars and so on and so on that these minor bumps in the road are easy to ignore in the enthusiasm and excitement. >> Well and now, as we head into 2020 affection it was. It was fake news in 2016. Now we've got deep fakes. Get the ability to really use video in new ways. Do you see a way out of that problem? A lot of people looking a Blockchain You wrote an article recently, and Blockchain you think it's on hackable? Well, think again. >> What are you seeing? I think one of things we always talk about when we talk about improving privacy and security and organizations, the first thing is awareness. Most people are really small moment of time, aware that there's an issue and it quickly pass in the mind. The analogy I use regarding industrial safety. You go into almost any factory. You'll see a sign over the door every day that says 520 days, his last industrial accident and then a sub line. Please do not be the one to reset it this year. And I often say, When's the last time you went to a data center? And so assign is at 50 milliseconds his last cyber data breach. And so it needs to be something that is really front, the mind and people. And we talk about how to make awareness activities over companies and host household. And that's one of our major movements here is trying to be more aware because we're not aware that you're putting things at risk. You're not gonna do anything about it. >> Last year we contacted Silicon Angle, 22 leading security experts best in one simple question. Are we winning or losing the war against cybercriminals? Unanimously, they said, we're losing. What is your opinion of that question? >> I have a great quote I like to use. The good news is the good guys are getting better than a firewall of cryptographic codes. But the bad guys are getting batter faster, and there's a lot of reasons for that well on all of them. But we came out with a nautical talking about the docking Web, and the reason why it's fascinating is if you go to most companies if they've suffered a data breach or a cyber attack, they'll be very reluctant to say much about unless they really compelled to do so on the dock, where they love to Brent and reputation. I'm the one who broke in the Capital One. And so there's much more information sharing that much more organized, a much more disciplined. I mean, the criminal ecosystem is so much more superior than the chaotic mess we have here on the good guys side of the table. >> Do you see any hope for that? There are service's. IBM has one, and there are others in a sort of anonymous eyes. Security data enable organizations to share sensitive information without risk to their company. You see any hope on the collaboration, Front >> said before the good guys are getting better. The trouble is, at first I thought there was an issue that was enough sharing going on. It turns out we identified over 120 sharing organizations. That's the good news. And the bad news is 120. So IBM is one and another 119 more to go. So it's not a very well coordinated sharing. It's going just one example. The challenges Do I see any hope in the future? Well, in the more distant future, because the challenge we have is that there'll be a cyber attack next week of some form or shape that we've never seen before and therefore what? Probably not well prepared for it. At some point, I'll no longer be able to say that, but I think the cyber attackers and creatures and so on are so creative. They've got another decade of more to go before they run out of >> Steve. We've got from hacktivists to organized crime now nation states, and you start thinking about the future of war. I was talking to Robert Gates, aboutthe former defense secretary, and my question was, Why don't we have the best cyber? Can't we go in the oven? It goes, Yeah, but we also have the most to lose our critical infrastructure, and the value of that to our society is much greater than some of our adversaries. So we have to be very careful. It's kind of mind boggling to think autonomous vehicles is another one. I know that you have some visibility on that. And you were saying that technical challenges of actually achieving quality autonomous vehicles are so daunting that security is getting pushed to the back burner. >> And if the irony is, I had a conversation. I was a visiting professor, sir, at the University of Niece about a 12 14 years ago. And that's before time of vehicles are not what they were doing. Big automotive tele metrics. And I realized at that time that security wasn't really our top priority. I happen to visit organization, doing really Thomas vehicles now, 14 years later, and this conversation is almost identical now. The problems we're trying to solve. A hider problem that 40 years ago, much more challenging problems. And as a result, those problems dominate their mindset and security issues kind of, you know, we'll get around him if we can't get the cot a ride correctly. Why worry about security? >> Well, what about the ethics of autonomous vehicles? Way talking about your programming? You know, if you're gonna hit a baby or a woman or kill your passengers and yourself, what do you tell the machine to Dio, that is, it seems like an unsolvable problem. >> Well, I'm an engineer by training, and possibly many people in the audience are, too. I'm the kind of person likes nice, clear, clean answers. Two plus two is four, not 3.94 point one. That's the school up the street. They deal with that. The trouble with ethic issues is they don't tend to have a nice, clean answer. Almost every study we've done that has these kind of issues on it. And we have people vote almost always have spread across the board because you know any one of these is a bad decision. So which the bad decision is least bad. Like, what's an example that you used the example I use in my class, and we've been using that for well over a year now in class, I teach on ethics. Is you out of the design of an autonomous vehicle, so you must program it to do everything and particular case you have is your in the vehicle. It's driving around the mountain and Swiss Alps. You go around a corner and the vehicle, using all of senses, realize that straight ahead on the right? Ian Lane is a woman in a baby carriage pushing on to this onto the left, just entering the garage way a three gentlemen, both sides a road have concrete barriers so you can stay on your path. Hit the woman the baby carriage via to the left. Hit the three men. Take a shop, right or shot left. Hit the concrete wall and kill yourself. And trouble is, every one of those is unappealing. Imagine the headline kills woman and baby. That's not a very good thing. There actually is a theory of ethics called utility theory that says, better to say three people than to one. So definitely doing on Kim on a kill three men, that's the worst. And then the idea of hitting the concrete wall may feel magnanimous. I'm just killing myself. But as a design of the car, shouldn't your number one duty be to protect the owner of the car? And so people basically do. They close their eyes and flip a coin because they don't want anyone. Those hands, >> not an algorithmic >> response, doesn't leave. >> I want to come back for weeks before we close here to the subject of this conference. Exactly. You've been involved with this conference since the very beginning. How have you seen the conversation changed since that time? >> I think I think it's changing to Wei first. As you know, this record breaking a group of people are expecting here. Close to 500 I think have registered s o much Clea grown kind of over the years, but also the extent to which, whether it was called big data or call a I now whatever is something that was kind of not quite on the radar when we started, I think it's all 15 years ago. He first started the conference series so clearly has become something that is not just something We talk about it in the academic world but is becoming main stay business for corporations Maur and Maur. And I think it's just gonna keep increasing. I think so much of our society so much of business is so dependent on the data in any way, shape or form that we use it and have >> it well, it's come full circle. It's policy and I were talking at are open. This conference kind of emerged from the ashes of the back office information quality and you say the big date and now a I guess what? It's all coming back to information. >> Lots of data. That's no good. Or that you don't understand what they do with this. Not very healthy. >> Well, doctor Magic. Thank you so much. It's a >> relief for all these years. Really Wanna thank you. Thank you, guys, for joining us and helping to spread the word. Thank you. Pleasure. All right, keep it right, everybody. Paul and >> I will be back at M I t cdo right after this short break. You're watching the cue.

>> Narrator: Live from Anaheim, California, it's theCUBE, covering Nutanix .NEXT 2019, brought to you by Nutanix. >> Welcome back everyone, to theCUBE's live coverage of Nutanix .NEXT here in Anaheim, California. I'm your host, Rebecca Knight, along with my co-host, John Ferrier. We have two guests for this segment. We have PJ Farmer, she is the Director, Cloud Product Management at TierPoint. Thanks so much for coming on theCUBE. >> Thank you, I'm very excited. >> Rebecca: And we have David Hines, VP, Architecture and Engineering at TierPoint. Thanks, David. >> Yes, thank you. >> So, for our viewers that maybe unfamiliar with TierPoint, can you tell us all about this St. Louis based company, what you do, give us an introduction. >> Oh, absolutely. So, TierPoint is a managed services, data services, and colocation provider. We have a broad footprint. We have over 40 data centers in the United States, and we have a broad portfolio of services we offer because we're really interested in meeting customers where they are in their digital transfortation, or transformation, excuse me. So everything from colo to cloud and beyond, we offer because customers come to us for a consultative approach. They have a problem, they needed solutions, and we can offer them those solutions, right. So we manage all of that. >> So you're helping them with their digital transformations and everything. >> Absolutely. >> And where does Nutanix come into play here? >> So, Nutanix is a part of that cloud services really that we're offering our customers, but also giving them a dedicated environment really that they can manage their workloads, but also have some more control, security, compliance, so that overall, the customers end up with a solution that helps them drive their business forward. And of course, TierPoint, our goal is to make sure that we're taking care of all that underlying infrastructure and systems and components, so again, the customer can focus on driving their business forward, and taking that burden off of IT and Nutanix is a great platform that really helps enable us and enable our customers, at the end of the day. >> Talk about the technical challenges you guys had before Nutanix, after Nutanix. What changed, what was the journey like, how did the door open up for them? >> Yeah, that's a great question. So, I think overall, we as technologists, work very hard to piece together solutions, varied solutions, to provide a platform for our customers that they can consume, but that is challenging, right, as a company, technology changes quickly. There are a lot of different vendors in the marketplace offering a lot of different technologies, and I think one of the things that we see as a huge value for Nutanix, is they've got a very complete platform, across the spectrum. It's not just a box with compute and storage. It is so much more than that, and so for us, that's very exciting, it's very intriguing, and something that really helps us be efficient, and also our customers, be efficient. >> So, digital transformation is something that we're talking about so much, on theCUBE in general, here at this show. What are you hearing from customers and what is sort of their bugaboos and their pain points? >> So, we recently had a customer who, their hypervisor of choice is something they're super familiar with, right. They have a great amount of comfort, but over time they can see, there could be some cost savings in Nutanix, with going with the Acropolis hypervisor that's included. So our customer came to us and said, hey, can you help us with this? Said, absolutely. So they are in our data center, we're taking care of them, we are consulting through their transformation and they are starting out with what they're comfortable with and as time changes and as they mature and transition, we're gonna help them get there, right. We're gonna help them change, if it's a hypervisor, if it's a different service, if it's a different way to set it up and present it out to their innovative IT developers, right. We're gonna help them do that. >> Talk about, can you guys share your insight into how you're operating the business? I mean obviously, you've got customers, a lot of customers. What's it like, operating this? 'Cause you got developers out there who want applications to be supported. I'm sure you got latency challenges around. We went to the cloud, a lot of multi-cloud conversations. People still gotta store stuff in their data centers or colos. So the edge, the network change, all these things are evolving. What's going on inside your company, in terms of how you operate? >> So, that's a great question. So, it is challenging to keep up with that landscape as it evolves but we are investing heavily in that. So the great thing about TierPoint, is we are in these edge markets. That is one of our real value adds, and so we're investing very heavily in our network. We also have some really strong partnerships with carriers that give us that on-ramp into the hyperscale. So it really helps complete that multi-cloud story that customers need. So yeah, they can come to us, colocate that equipment that they really have to hold on to, mainframes, mid-range servers, other legacy systems, while gaining that connectivity to those hyperscale environments. And then there's the middle, the middle where we provide a layer, like Nutanix, that gives them that enterprise type cloud. But again, it's dedicated to them, it's in our data center, it's local to their other systems, while also getting that reach to the hyperscale. So it's a really, really powerful story for us. >> On the hypervisor challenge question, this is interesting, we hear people saying, I got Hyper-Vi, I got Hyper-V, I got VMware, I wanna just use, Nutanix' got their own hypervisor. AVH has been an interesting product for Nutanix. The full stack is compelling for a lot of customers, but you guys probably have a lot of customers who wanna parole their own, or bring their own hypervisor. How do you deal with that, does that fit in to the value proposition? >> Well, I think there is some talk about the hypervisor, maybe being irrelevant, like it's obsolete, it's not something to be concerned about, and I think Dave said it earlier, best today, he said that-- >> John: You could be nice when you say that, by the way. >> I'm sorry, what? >> John: A lot of people are saying that. >> Well, yeah, a lot of people are saying that. I just think it's less of a focus, right, because TierPoint helps people focus on what is innovative, what is your business outcome, what are you really doing for your business? So I feel like the hypervisor is just less of a focus, right, than it is necessarily, not important. >> It's more commodity now. >> Yeah. >> It is, and we don't want the customers to have to focus on that, because again, IT really needs to drive business, not be a drag on business and so the less that they have to focus, as an IT organization, on the maintenance and management of infrastructure, and even up the stack towards operating systems, where we can take that burden off of them, then again, they can be a leader for their business and driving the business as a whole, not be held back. >> Okay, what's the playbook for doing that, not being a drag on the business? Because that's what everyone wants to do but they might have legacy stuff. What's the playbook? >> The playbook, is being a part of that business discussion and when the business itself is making decisions about how to drive forward, IT has that seat at the table, and again, is thinking about, how can we drive savings or cost cutting, how can we enable transactions, how can we enable the customer base? And not thinking about, oh, do I have my storage system updated, am I dealing with the old boxes that I have to replace, and do I have power and cooling problems in a data center. They don't need to be dealing with that. They need to be up front with the business, making business decisions. >> What you're talking about, really represents a complete shift in the role of the technologist. Do they have the skills to be thinking about, they obviously, can think about more than just the maintenance, and do I have the storage, and things like that. But does there need to be much more education around these business strategy questions that they should be thinking about? As you said, this is their role, to really help the business transform. >> David: Yeah. >> So, I think that often times I see people feel like they are just technology, oh, I'm just hands on keyboard, I'm doing this, but what their exposure and their natural interests, lead them to have a broad picture of how things can work, what is expected, and how do these things operate, what have I had experience with, and when they have a seat at the table and they're making, with the business decisions, they have value to add there. Right. That value is in that perspective, what they've seen, because that may not be forefront for some of the other business leaders at the table, right? And it is a collaborative discussion, that generates quality output, that generates innovation, that generates thinking outside of the box, and unique solutions that really lead the market. >> But I do think it really does, to your point, mean new education, new skills for these IT technologists and so that's part of, we've gone through this at TierPoint, transforming the engineers and the technologists that we have working on our staff and really teaching them new ways to work, new ways to think, new ways to collaborate, so that they're helping us move the business forward and not sitting behind a keyboard, isolated from the business itself. >> I was gonna ask you about the skill gap 'cause one of the things that comes up as the shift at DevOps is happening, with more development going on to make the infrastructure programmable so it's not a drag on the business, changing roles are a huge thing 'cause Nutanix essentially, the values, they enable new things to happen, the result is consolidation, so it's not consolidation as the primary. You get consolidation as a benefit of what they do. So people be like, whoa, what do I do now? But the benefit is people shift. So the IT Ops role has changed, it's best probably to get it before the operations. Where do you guys see that trend evolving? Because if this continues with AI and automation, you can almost imagine it's completely programmable infrastructure. >> Yeah, we do see a consolidation of Siloed Technologists, right, so this idea of I'm only a network engineer, I'm only a storage engineer, I'm only a cloud engineer, that is definitely going away and again, we've done this at TierPoint. We've kind of mixed those roles, right, educate the staff, but from additional education programmability, somebody'd be able to do the automation and the development in an engineering role verses having a separate development team working on that. It's gonna be really important as companies evolve their groups. >> I think you've had a lot of infrastructure engineers that 20 years ago, 15 years ago, knew Pearl, they knew scripting, they knew these things, and as time has gone on, now they know APIs, now they know RESTful APIs, now they're interacting, but we all know, in IT, it's always change and it's always learning, I mean, you got into this, right. So I think a lot of the infrastructure engineers, over time, are finding they were already automating things in some ways and they're becoming more mature in the ways that they automate things, right? I think it's a great transition as they go on, yeah. >> So, talk about the relationship with Nutanix. What's it like, partnering with them? They got a lot of momentum in enabling a partner strategy. We saw news with Hewlett Packard enterprise, potential channel opportunity there. They're a partner centric, they're partner friendly. What's it like, working with them? >> Fantastic, I mean absolutely fantastic, from go, see our customers were coming to us wanting to, they brought Nutanix to us, honestly, they came up. A lot of people that use Nutanix are like fans of Nutanix, right, you've seen some of those, and so our customers brought Nutanix to us, and as we began to see this trend, and we decided to make a private cloud product out of it, we engage with Nutanix. They've provided so many resources, they've been there for us, been very responsive. It's really been a natural and easy collaboration with them. And like you said, they do everything through partners so that has made it easy. We are another partner, right? They enable us, they know that part of their success is our success and vice versa, so it's almost like an extension of the team, which is fantastic. >> So what do you say to the new Nutanix customer that comes in, 'cause I agree with you, they're very hardcore loyal fans because they took a chance and they see benefits, so they took a chance and it paid off. It's like gambling, you put a number on the roulette wheel and it comes up black or red, whatever. They've had great success there and their promoter score is 90. But what about new people, are like, hey, I heard this Nutanix thing is out there, or software. How are you guys looking at these new opportunities, when is Nutanix a good fit? 'Cause you gotta balance it all for all your customers. >> Yeah. >> Depending on what they wanna do. >> Yeah, I mean, that's a great question. Honestly, for us it's really about enabling the higher order applications and workloads for our customers, so I don't know, unless the customer themselves is really bringing Nutanix to us, that we're having that conversation. It's really like, look, this is a solution that's gonna provide you the capabilities, and again, trying to not have the customer really worry too much about that and let us own that relationship, and as PJ mentioned, Nutanix has invested very heavily, not only in the partnership but also developing this platform and solution for us so it's been-- >> So you guys could provide it, if no one asks, just provide the best solution. >> Absolutely. >> Right. >> And that's the key, right? >> I want to ask you a question about geographics. So, I'm based in Boston, John's based in the Valley, you're a technology company based in St. Louis. I'm interested, we may just come to this with our east coast, west coast biases and I'm just, what's it like to be a technology company in St. Louis, in the heartland, do you feel part of the community? >> Oh absolutely, in fact, St. Louis really has been, you see several articles about all the startup tech in St. Louis because it is an affordable place to live. You have access to all the cities, usually direct flights, right, so from a community perspective, there's a lot more technology startups than you might think in St. Louis, but they do have access to-- >> Rebecca: And great barbecue too. >> Great barbecue, absolutely. And it really is a beautiful place. You also have lots of parks, lots of rivers, lots of outdoor, I mean, it's kinda surprising, honestly. We have a main technology center also, in Raleigh, North Carolina, so we are split between the two. >> David: Yeah. >> We do a lot of flights back and forth. >> WWT is out there too. >> RTP, yeah, the research truck will park in North Carolina, as a very big tech hub, so that split really provides a balance. There's a very big business hub in St. Louis and a lot of collaborational partnerships there from the business side, but also that Raleigh Tech Hub on the east coast is really a huge benefit to us. And a lot of our partners are there, >> PJ: And like a lot of-- >> Nutanix actually, is right there, down the street. >> We'll have to come down and visit you in North Carolina. My daughter's going to UNC >> Oh, okay. >> So I gotta find some excuses to get down there. >> That'd be great. >> Anytime. >> Maybe see your business. >> Some TierPoint shows. >> Oh, that's right. >> Exactly. >> And do a little, couple interviews. >> Anytime. >> Anytime. >> Well, thank you both so much for coming on theCUBE. It was great talking to you. >> Yeah, we really enjoyed it. >> Thank you for having us. Thank you so much. >> Thank you. >> I'm Rebecca Knight, for John Ferrier, you are watching theCUBE. (upbeat music)

[Music] [Music] [Music] [Laughter] [Laughter] [Laughter] [Laughter] [Music] [Music] [Music] [Music] you you [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Applause] [Music] wake up feeling blessed peace you warned that Russia ain't afraid to show it I'll expose it if I dressed up riding in that Chester roasted nigga catch you slippin on myself rocks on I messed up like yes sir [Music] [Music] [Music] [Music] our program [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] you are not welcome to Red Hat summit 2018 2018 [Music] [Music] [Music] [Laughter] [Music] Wow that is truly the coolest introduction I've ever had thank you Wow I don't think I feel cool enough to follow an interaction like that Wow well welcome to the Red Hat summit this is our 14th annual event and I have to say looking out over this audience Wow it's great to see so many people here joining us this is by far our largest summit to date not only did we blow through the numbers we've had in the past we blew through our own expectations this year so I know we have a pretty packed house and I know people are still coming in so it's great to see so many people here it's great to see so many familiar faces when I had a chance to walk around earlier it's great to see so many new people here joining us for the first time I think the record attendance is an indication that more and more enterprises around the world are seeing the power of open source to help them with their challenges that they're facing due to the digital transformation that all of enterprises around the world are going through the theme for the summit this year is ideas worth exploring and we intentionally chose that because as much as we are all going through this digital disruption and the challenges associated with it one thing I think is becoming clear no one person and certainly no one company has the answers to these challenges right this isn't a problem where you can go buy a solution this is a set of capabilities that we all need to build it's a set of cultural changes that we all need to go through and that's going to require the best ideas coming from so many different places so we're not here saying we have the answers we're trying to convene the conversation right we want to serve as a catalyst bringing great minds together to share ideas so we all walk out of here at the end of the week a little wiser than when we first came here we do have an amazing agenda for you we have over 7,000 attendees we may be pushing 8,000 by the time we got through this morning we have 36 keynote speakers and we have a hundred and twenty-five breakout sessions and have to throw in one plug scheduling 325 breakout sessions is actually pretty difficult and so we used the Red Hat business optimizer which is an AI constraint solver that's new in the Red Hat decision manager to help us plan the summit because we have individuals who have a clustered set of interests and we want to make sure that when we schedule two breakout sessions we do it in a way that we don't have overlapping sessions that are really important to the same individual so we tried to use this tool and what we understand about people's interest in history of what they wanted to do to try to make sure that we spaced out different times for things of similar interests for similar people as well as for people who stood in the back of breakouts before and I know I've done that too we've also used it to try to optimize room size so hopefully we will do our best to make sure that we've appropriately sized the spaces for those as well so it's really a phenomenal tool and I know it's helped us a lot this year in addition to the 325 breakouts we have a lot of our customers on stage during the main sessions and so you'll see demos you'll hear from partners you'll hear stories from so many of our customers not on our point of view of how to use these technologies but their point of views of how they actually are using these technologies to solve their problems and you'll hear over and over again from those keynotes that it's not just about the technology it's about how people are changing how people are working to innovate to solve those problems and while we're on the subject of people I'd like to take a moment to recognize the Red Hat certified professional of the year this is known award we do every year I love this award because it truly recognizes an individual for outstanding innovation for outstanding ideas for truly standing out in how they're able to help their organization with Red Hat technologies Red Hat certifications help system administrators application developers IT architects to further their careers and help their organizations by being able to advance their skills and knowledge of Red Hat products and this year's winner really truly is a great example about how their curiosity is helped push the limits of what's possible with technology let's hear a little more about this year's winner when I was studying at the University I had computer science as one of my subjects and that's what created the passion from the very beginning they were quite a few institutions around my University who were offering Red Hat Enterprise Linux as a course and a certification paths through to become an administrator Red Hat Learning subscription has offered me a lot more than any other trainings that have done so far that gave me exposure to so many products under red hair technologies that I wasn't even aware of I started to think about the better ways of how these learnings can be put into the real life use cases and we started off with a discussion with my manager saying I have to try this product and I really want to see how it really fits in our environment and that product was Red Hat virtualization we went from deploying rave and then OpenStack and then the open shift environment we wanted to overcome some of the things that we saw as challenges to the speed and rapidity of release and code etc so it made perfect sense and we were able to do it in a really short space of time so you know we truly did use it as an Innovation Lab I think idea is everything ideas can change the way you see things an Innovation Lab was such an idea that popped into my mind one fine day and it has transformed the way we think as a team and it's given that playpen to pretty much everyone to go and test their things investigate evaluate do whatever they like in a non-critical non production environment I recruited Neha almost 10 years ago now I could see there was a spark a potential with it and you know she had a real Drive a real passion and you know here we are nearly ten years later I'm Neha Sandow I am a Red Hat certified engineer all right well everyone please walk into the states to the stage Neha [Music] [Applause] congratulations thank you [Applause] I think that - well welcome to the red has some of this is your first summit yes it is thanks so much well fantastic sure well it's great to have you here I hope you have a chance to engage and share some of your ideas and enjoy the week thank you thank you congratulations [Applause] neha mentioned that she first got interest in open source at university and it made me think red hats recently started our Red Hat Academy program that looks to programmatically infuse Red Hat technologies in universities around the world it's exploded in a way we had no idea it's grown just incredibly rapidly which i think shows the interest that there really is an open source and working in an open way at university so it's really a phenomenal program I'm also excited to announce that we're launching our newest open source story this year at Summit it's called the science of collective discovery and it looks at what happens when communities use open hardware to monitor the environment around them and really how they can make impactful change based on that technologies the rural premier that will be at 5:15 on Wednesday at McMaster Oni West and so please join us for a drink and we'll also have a number of the experts featured in that and you can have a conversation with them as well so with that let's officially start the show please welcome red hat president of products and technology Paul Cormier [Music] Wow morning you know I say it every year I'm gonna say it again I know I repeat myself it's just amazing we are so proud here to be here today too while you all week on how far we've come with opens with open source and with the products that we that we provide at Red Hat so so welcome and I hope the pride shows through so you know I told you Seven Summits ago on this stage that the future would be open and here we are just seven years later this is the 14th summit but just seven years later after that and much has happened and I think you'll see today and this week that that prediction that the world would be open was a pretty safe predict prediction but I want to take you just back a little bit to see how we started here and it's not just how Red Hat started here this is an open source in Linux based computing is now in an industry norm and I think that's what you'll you'll see in here this week you know we talked back then seven years ago when we put on our prediction about the UNIX error and how Hardware innovation with x86 was it was really the first step in a new era of open innovation you know companies like Sun Deck IBM and HP they really changed the world the computing industry with their UNIX models it was that was really the rise of computing but I think what we we really saw then was that single company innovation could only scale so far could really get so far with that these companies were very very innovative but they coupled hardware innovation with software innovation and as one company they could only solve so many problems and even which comp which even complicated things more they could only hire so many people in each of their companies Intel came on the scene back then as the new independent hardware player and you know that was really the beginning of the drive for horizontal computing power and computing this opened up a brand new vehicle for hardware innovation a new hardware ecosystem was built around this around this common hardware base shortly after that Stallman and leanness they had a vision of his of an open model that was created and they created Linux but it was built around Intel this was really the beginning of having a software based platform that could also drive innovation this kind of was the beginning of the changing of the world here that system-level innovation now having a hardware platform that was ubiquitous and a software platform that was open and ubiquitous it really changed this system level innovation and that continues to thrive today it was only possible because it was open this could not have happened in a closed environment it allowed the best ideas from anywhere from all over to come in in win only because it was the best idea that's what drove the rate of innovation at the pace you're seeing today and it which has never been seen before we at Red Hat we saw the need to bring this innovation to solve real-world problems in the enterprise and I think that's going to be the theme of the show today you're going to see us with our customers and partners talking about and showing you some of those real-world problems that we are sought solving with this open innovation we created rel back then for this for the enterprise it started it's it it wasn't successful because it's scaled it was secure and it was enterprise ready it once again changed the industry but this time through open innovation this gave the hardware ecosystem a software platform this open software platform gave the hardware ecosystem a software platform to build around it Unleashed them the hardware side to compete and thrive it enabled innovation from the OEMs new players building cheaper faster servers even new architectures from armed to power sprung up with this change we have seen an incredible amount of hardware innovation over the last 15 years that same innovation happened on the software side we saw powerful implementations of bare metal Linux distributions out in the market in fact at one point there were 300 there are over 300 distributions out in the market on the foundation of Linux powerful open-source equivalents were even developed in every area of Technology databases middleware messaging containers anything you could imagine innovation just exploded around the Linux platform in innovation it's at the core also drove virtualization both Linux and virtualization led to another area of innovation which you're hearing a lot about now public cloud innovation this innovation started to proceed at a rate that we had never seen before we had never experienced this in the past in this unprecedented speed of innovation and software was now possible because you didn't need a chip foundry in order to innovate you just needed great ideas in the open platform that was out there customers seeing this innovation in the public cloud sparked it sparked their desire to build their own linux based cloud platforms and customers are now are now bringing that cloud efficiency on-premise in their own data centers public clouds demonstrated so much efficiency the data centers and architects wanted to take advantage of it off premise on premise I'm sorry within their own we don't within their own controlled environments this really allowed companies to make the most of existing investments from data centers to hardware they also gained many new advantages from data sovereignty to new flexible agile approaches I want to bring Burr and his team up here to take a look at what building out an on-premise cloud can look like today Bure take it away I am super excited to be with all of you here at Red Hat summit I know we have some amazing things to show you throughout the week but before we dive into this demonstration I want you to take just a few seconds just a quick moment to think about that really important event your life that moment you turned on your first computer maybe it was a trs-80 listen Claire and Atari I even had an 83 b2 at one point but in my specific case I was sitting in a classroom in Hawaii and I could see all the way from Diamond Head to Pearl Harbor so just keep that in mind and I turn on an IBM PC with dual floppies I don't remember issuing my first commands writing my first level of code and I was totally hooked it was like a magical moment and I've been hooked on computers for the last 30 years so I want you to hold that image in your mind for just a moment just a second while we show you the computers we have here on stage let me turn this over to Jay fair and Dini here's our worldwide DevOps manager and he was going to show us his hardware what do you got Jay thank you BER good morning everyone and welcome to Red Hat summit we have so many cool things to show you this week I am so happy to be here and you know my favorite thing about red hat summit is our allowed to kind of share all of our stories much like bird just did we also love to you know talk about the hardware and the technology that we brought with us in fact it's become a bit of a competition so this year we said you know let's win this thing and we actually I think we might have won we brought a cloud with us so right now this is a private cloud for throughout the course of the week we're going to turn this into a very very interesting open hybrid cloud right before your eyes so everything you see here will be real and happening right on this thing right behind me here so thanks for our four incredible partners IBM Dell HP and super micro we've built a very vendor heterogeneous cloud here extra special thanks to IBM because they loaned us a power nine machine so now we actually have multiple architectures in this cloud so as you know one of the greatest benefits to running Red Hat technology is that we run on just about everything and you know I can't stress enough how powerful that is how cost-effective that is and it just makes my life easier to be honest so if you're interested the people that built this actual rack right here gonna be hanging out in the customer success zone this whole week it's on the second floor the lobby there and they'd be glad to show you exactly how they built this thing so let me show you what we actually have in this rack so contained in this rack we have 1056 physical chorus right here we have five and a half terabytes of RAM and just in case we threw 50 terabytes of storage in this thing so burr that's about two million times more powerful than that first machine you boot it up thanks to a PC we're actually capable of putting all the power needs and cooling right in this rack so there's your data center right there you know it occurred to me last night that I can actually pull the power cord on this thing and kick it up a notch we could have the world's first mobile portable hybrid cloud so I'm gonna go ahead and unplug no no no no no seriously it's not unplug the thing we got it working now well Berg gets a little nervous but next year we're rolling this thing around okay okay so to recap multiple vendors check multiple architectures check multiple public clouds plug right into this thing check and everything everywhere is running the same software from Red Hat so that is a giant check so burn Angus why don't we get the demos rolling awesome so we have totally we have some amazing hardware amazing computers on this stage but now we need to light it up and we have Angus Thomas who represents our OpenStack engineering team and he's going to show us what we can do with this awesome hardware Angus thank you Beth so this was an impressive rack of hardware to Joe has bought a pocket stage what I want to talk about today is putting it to work with OpenStack platform director we're going to turn it from a lot of potential into a flexible scalable private cloud we've been using director for a while now to take care of managing hardware and orchestrating the deployment of OpenStack what's new is that we're bringing the same capabilities for on-premise manager the deployment of OpenShift director deploying OpenShift in this way is the best of both worlds it's bare-metal performance but with an underlying infrastructure as a service that can take care of deploying in new instances and scaling out and a lot of the things that we expect from a cloud provider director is running on a virtual machine on Red Hat virtualization at the top of the rack and it's going to bring everything else under control what you can see on the screen right now is the director UI and as you see some of the hardware in the rack is already being managed at the top level we have information about the number of cores in the amount of RAM and the disks that each machine have if we dig in a bit there's information about MAC addresses and IPs and the management interface the BIOS kernel version dig a little deeper and there is information about the hard disks all of this is important because we want to be able to make sure that we put in workloads exactly where we want them Jay could you please power on the two new machines at the top of the rack sure all right thank you so when those two machines come up on the network director is going to see them see that they're new and not already under management and is it immediately going to go into the hardware inspection that populates this database and gets them ready for use so we also have profiles as you can see here profiles are the way that we match the hardware in a machine to the kind of workload that it's suited to this is how we make sure that machines that have all the discs run Seth and machines that have all the RAM when our application workouts for example there's two ways these can be set when you're dealing with a rack like this you could go in an individually tag each machine but director scales up to data centers so we have a rules matching engine which will automatically take the hardware profile of a new machine and make sure it gets tagged in exactly the right way so we can automatically discover new machines on the network and we can automatically match them to a profile that's how we streamline and scale up operations now I want to talk about deploying the software we have a set of validations we've learned over time about the Miss configurations in the underlying infrastructure which can cause the deployment of a multi node distributed application like OpenStack or OpenShift to fail if you have the wrong VLAN tags on a switch port or DHCP isn't running where it should be for example you can get into a situation which is really hard to debug a lot of our validations actually run before the deployment they look at what you're intending to deploy and they check in the environment is the way that it should be and they'll preempts problems and obviously preemption is a lot better than debugging something new that you probably have not seen before is director managing multiple deployments of different things side by side before we came out on stage we also deployed OpenStack on this rack just to keep me honest let me jump over to OpenStack very quickly a lot of our opens that customers will be familiar with this UI and the bare metal deployment of OpenStack on our rack is actually running a set of virtual machines which is running Gluster you're going to see that put to work later on during the summit Jay's gone to an awful lot effort to get this Hardware up on the stage so we're going to use it as many different ways as we can okay let's deploy OpenShift if I switch over to the deployed a deployment plan view there's a few steps first thing you need to do is make sure we have the hardware I already talked about how director manages hardware it's smart enough to make sure that it's not going to attempt to deploy into machines they're already in use it's only going to deploy on machines that have the right profile but I think with the rack that we have here we've got enough next thing is the deployment configuration this is where you get to customize exactly what's going to be deployed to make sure that it really matches your environment if they're external IPs for additional services you can set them here whatever it takes to make sure that the deployment is going to work for you as you can see on the screen we have a set of options around enable TLS for encryption network traffic if I dig a little deeper there are options around enabling ipv6 and network isolation so that different classes of traffic there are over different physical NICs okay then then we have roles now roles this is essentially about the software that's going to be put on each machine director comes with a set of roles for a lot of the software that RedHat supports and you can just use those or you can modify them a little bit if you need to add a monitoring agent or whatever it might be or you can create your own custom roles director has quite a rich syntax for custom role definition and custom Network topologies whatever it is you need in order to make it work in your environment so the rawls that we have right now are going to give us a working instance of openshift if I go ahead and click through the validations are all looking green so right now I can click the button start to the deploy and you will see things lighting up on the rack directors going to use IPMI to reboot the machines provisioned and with a trail image was the containers on them and start up the application stack okay so one last thing once the deployment is done you're going to want to keep director around director has a lot of capabilities around what we call de to operational management bringing in new Hardware scaling out deployments dealing with updates and critically doing upgrades as well so having said all of that it is time for me to switch over to an instance of openshift deployed by a director running on bare metal on our rack and I need to hand this over to our developer team so they can show what they can do it thank you that is so awesome Angus so what you've seen now is going from bare metal to the ultimate private cloud with OpenStack director make an open shift ready for our developers to build their next generation applications thank you so much guys that was totally awesome I love what you guys showed there now I have the honor now I have the honor of introducing a very special guest one of our earliest OpenShift customers who understands the necessity of the private cloud inside their organization and more importantly they're fundamentally redefining their industry please extend a warm welcome to deep mar Foster from Amadeus well good morning everyone a big thank you for having armadillos here and myself so as it was just set I'm at Mario's well first of all we are a large IT provider in the travel industry so serving essentially Airlines hotel chains this distributors like Expedia and others we indeed we started very early what was OpenShift like a bit more than three years ago and we jumped on it when when Retta teamed with Google to bring in kubernetes into this so let me quickly share a few figures about our Mario's to give you like a sense of what we are doing and the scale of our operations so some of our key KPIs one of our key metrics is what what we call passenger borders so that's the number of customers that physically board a plane over the year so through our systems it's roughly 1.6 billion people checking in taking the aircrafts on under the Amarillo systems close to 600 million travel agency bookings virtually all airlines are on the system and one figure I want to stress out a little bit is this one trillion availability requests per day that's when I read this figure my mind boggles a little bit so this means in continuous throughput more than 10 million hits per second so of course these are not traditional database transactions it's it's it's highly cached in memory and these applications are running over like more than 100,000 course so it's it's it's really big stuff so today I want to give some concrete feedback what we are doing so I have chosen two applications products of our Mario's that are currently running on production in different in different hosting environments as the theme here is of this talk hybrid cloud and so I want to give some some concrete feedback of how we architect the applications and of course it stays relatively high level so here I have taken one of our applications that is used in the hospitality environment so it's we have built this for a very large US hotel chain and it's currently in in full swing brought into production so like 30 percent of the globe or 5,000 plus hotels are on this platform not so here you can see that we use as the path of course on openshift on that's that's the most central piece of our hybrid cloud strategy on the database side we use Oracle and Couchbase Couchbase is used for the heavy duty fast access more key value store but also to replicate data across two data centers in this case it's running over to US based data centers east and west coast topology that are fit so run by Mario's that are fit with VMware on for the virtualization OpenStack on top of it and then open shift to host and welcome the applications on the right hand side you you see the kind of tools if you want to call them tools that we use these are the principal ones of course the real picture is much more complex but in essence we use terraform to map to the api's of the underlying infrastructure so they are obviously there are differences when you run on OpenStack or the Google compute engine or AWS Azure so some some tweaking is needed we use right at ansible a lot we also use puppet so you can see these are really the big the big pieces of of this sense installation and if we look to the to the topology again very high high level so these two locations basically map the data centers of our customers so they are in close proximity because the response time and the SLA is of this application is are very tight so that's an example of an application that is architectures mostly was high ability and high availability in minds not necessarily full global worldwide scaling but of course it could be scaled but here the idea is that we can swing from one data center to the unit to the other in matters of of minutes both take traffic data is fully synchronized across those data centers and while the switch back and forth is very fast the second example I have taken is what we call the shopping box this is when people go to kayak or Expedia and they're getting inspired where they want to travel to this is really the piece that shoots most of transit of the transactions into our Mario's so we architect here more for high scalability of course availability is also a key but here scaling and geographical spread is very important so in short it runs partially on-premise in our Amarillo Stata Center again on OpenStack and we we deploy it mostly in the first step on the Google compute engine and currently as we speak on Amazon on AWS and we work also together with Retta to qualify the whole show on Microsoft Azure here in this application it's it's the same building blocks there is a large swimming aspect to it so we bring Kafka into this working with records and another partner to bring Kafka on their open shift because at the end we want to use open shift to administrate the whole show so over time also databases and the topology here when you look to the physical deployment topology while it's very classical we use the the regions and the availability zone concept so this application is spread over three principal continental regions and so it's again it's a high-level view with different availability zones and in each of those availability zones we take a hit of several 10,000 transactions so that was it really in very short just to give you a glimpse on how we implement hybrid clouds I think that's the way forward it gives us a lot of freedom and it allows us to to discuss in a much more educated way with our customers that sometimes have already deals in place with one cloud provider or another so for us it's a lot of value to set two to leave them the choice basically what up that was a very quick overview of what we are doing we were together with records are based on open shift essentially here and more and more OpenStack coming into the picture hope you found this interesting thanks a lot and have a nice summer [Applause] thank you so much deeper great great solution we've worked with deep Marv and his team for a long for a long time great solution so I want to take us back a little bit I want to circle back I sort of ended talking a little bit about the public cloud so let's circle back there you know even so even though some applications need to run in various footprints on premise there's still great gains to be had that for running certain applications in the public cloud a public cloud will be as impactful to to the industry as as UNIX era was of computing was but by itself it'll have some of the same limitations and challenges that that model had today there's tremendous cloud innovation happening in the public cloud it's being driven by a handful of massive companies and much like the innovation that sundeck HP and others drove in a you in the UNIX era of community of computing many customers want to take advantage of the best innovation no matter where it comes from buddy but as they even eventually saw in the UNIX era they can't afford the best innovation at the cost of a siloed operating environment with the open community we are building a hybrid application platform that can give you access to the best innovation no matter which vendor or which cloud that it comes from letting public cloud providers innovate and services beyond what customers or anyone can one provider can do on their own such as large scale learning machine learning or artificial intelligence built on the data that's unique probably to that to that one cloud but consumed in a common way for the end customer across all applications in any environment on any footprint in in their overall IT infrastructure this is exactly what rel brought brought to our customers in the UNIX era of computing that consistency across any of those footprints obviously enterprises will have applications for all different uses some will live on premise some in the cloud hybrid cloud is the only practical way forward I think you've been hearing that from us for a long time it is the only practical way forward and it'll be as impactful as anything we've ever seen before I want to bring Byrne his team back to see a hybrid cloud deployment in action burr [Music] all right earlier you saw what we did with taking bare metal and lighting it up with OpenStack director and making it openshift ready for developers to build their next generation applications now we want to show you when those next turn and generation applications and what we've done is we take an open shift and spread it out and installed it across Asia and Amazon a true hybrid cloud so with me on stage today as Ted who's gonna walk us through an application and Brent Midwood who's our DevOps engineer who's gonna be making sure he's monitoring on the backside that we do make sure we do a good job so at this point Ted what have you got for us Thank You BER and good morning everybody this morning we are running on the stage in our private cloud an application that's providing its providing fraud detection detect serves for financial transactions and our customer base is rather large and we occasionally take extended bursts of traffic of heavy traffic load so in order to keep our latency down and keep our customers happy we've deployed extra service capacity in the public cloud so we have capacity with Microsoft Azure in Texas and with Amazon Web Services in Ohio so we use open chip container platform on all three locations because openshift makes it easy for us to deploy our containerized services wherever we want to put them but the question still remains how do we establish seamless communication across our entire enterprise and more importantly how do we balance the workload across these three locations in such a way that we efficiently use our resources and that we give our customers the best possible experience so this is where Red Hat amq interconnect comes in as you can see we've deployed a MQ interconnect alongside our fraud detection applications in all three locations and if I switch to the MQ console we'll see the topology of the app of the network that we've created here so the router inside the on stage here has made connections outbound to the public routers and AWS and Azure these connections are secured using mutual TLS authentication and encrypt and once these connections are established amq figures out the best way auda matically to route traffic to where it needs to get to so what we have right now is a distributed reliable broker list message bus that expands our entire enterprise now if you want to learn more about this make sure that you catch the a MQ breakout tomorrow at 11:45 with Jack Britton and David Ingham let's have a look at the message flow and we'll dive in and isolate the fraud detection API that we're interested in and what we see is that all the traffic is being handled in the private cloud that's what we expect because our latencies are low and they're acceptable but now if we take a little bit of a burst of increased traffic we're gonna see that an EQ is going to push a little a bi traffic out onto the out to the public cloud so as you're picking up some of the load now to keep the Layton sees down now when that subsides as your finishes up what it's doing and goes back offline now if we take a much bigger load increase you'll see two things first of all asher is going to take a bigger proportion than it did before and Amazon Web Services is going to get thrown into the fray as well now AWS is actually doing less work than I expected it to do I expected a little bit of bigger a slice there but this is a interesting illustration of what's going on for load balancing mq load balancing is sending requests to the services that have the lowest backlog and in order to keep the Layton sees as steady as possible so AWS is probably running slowly for some reason and that's causing a and Q to push less traffic its way now the other thing you're going to notice if you look carefully this graph fluctuate slightly and those fluctuations are caused by all the variances in the network we have the cloud on stage and we have clouds in in the various places across the country there's a lot of equipment locked layers of virtualization and networking in between and we're reacting in real-time to the reality on the digital street so BER what's the story with a to be less I noticed there's a problem right here right now we seem to have a little bit performance issue so guys I noticed that as well and a little bit ago I actually got an alert from red ahead of insights letting us know that there might be some potential optimizations we could make to our environment so let's take a look at insights so here's the Red Hat insights interface you can see our three OpenShift deployments so we have the set up here on stage in San Francisco we have our Azure deployment in Texas and we also have our AWS deployment in Ohio and insights is highlighting that that deployment in Ohio may have some issues that need some attention so Red Hat insights collects anonymized data from manage systems across our customer environment and that gives us visibility into things like vulnerabilities compliance configuration assessment and of course Red Hat subscription consumption all of this is presented in a SAS offering so it's really really easy to use it requires minimal infrastructure upfront and it provides an immediate return on investment what insights is showing us here is that we have some potential issues on the configuration side that may need some attention from this view I actually get a look at all the systems in our inventory including instances and containers and you can see here on the left that insights is highlighting one of those instances as needing some potential attention it might be a candidate for optimization this might be related to the issues that you were seeing just a minute ago insights uses machine learning and AI techniques to analyze all collected data so we combine collected data from not only the system's configuration but also with other systems from across the Red Hat customer base this allows us to compare ourselves to how we're doing across the entire set of industries including our own vertical in this case the financial services industry and we can compare ourselves to other customers we also get access to tailored recommendations that let us know what we can do to optimize our systems so in this particular case we're actually detecting an issue here where we are an outlier so our configuration has been compared to other configurations across the customer base and in this particular instance in this security group were misconfigured and so insights actually gives us the steps that we need to use to remediate the situation and the really neat thing here is that we actually get access to a custom ansible playbook so if we want to automate that type of a remediation we can use this inside of Red Hat ansible tower Red Hat satellite Red Hat cloud forms it's really really powerful the other thing here is that we can actually apply these recommendations right from within the Red Hat insights interface so with just a few clicks I can select all the recommendations that insights is making and using that built-in ansible automation I can apply those recommendations really really quickly across a variety of systems this type of intelligent automation is really cool it's really fast and powerful so really quickly here we're going to see the impact of those changes and so we can tell that we're doing a little better than we were a few minutes ago when compared across the customer base as well as within the financial industry and if we go back and look at the map we should see that our AWS employment in Ohio is in a much better state than it was just a few minutes ago so I'm wondering Ted if this had any effect and might be helping with some of the issues that you were seeing let's take a look looks like went green now let's see what it looks like over here yeah doesn't look like the configuration is taking effect quite yet maybe there's some delay awesome fantastic the man yeah so now we're load balancing across the three clouds very much fantastic well I have two minute Ted I truly love how we can route requests and dynamically load transactions across these three clouds a truly hybrid cloud native application you guys saw here on on stage for the first time and it's a fully portable application if you build your applications with openshift you can mover from cloud to cloud to cloud on stage private all the way out to the public said it's totally awesome we also have the application being fully managed by Red Hat insights I love having that intelligence watching over us and ensuring that we're doing everything correctly that is fundamentally awesome thank you so much for that well we actually have more to show you but you're going to wait a few minutes longer right now we'd like to welcome Paul back to the stage and we have a very special early Red Hat customer an Innovation Award winner from 2010 who's been going boldly forward with their open hybrid cloud strategy please give a warm welcome to Monty Finkelstein from Citigroup [Music] [Music] hi Marty hey Paul nice to see you thank you very much for coming so thank you for having me Oh our pleasure if you if you wanted to we sort of wanted to pick your brain a little bit about your experiences and sort of leading leading the charge in computing here so we're all talking about hybrid cloud how has the hybrid cloud strategy influenced where you are today in your computing environment so you know when we see the variable the various types of workload that we had an hour on from cloud we see the peaks we see the valleys we see the demand on the environment that we have we really determined that we have to have a much more elastic more scalable capability so we can burst and stretch our environments to multiple cloud providers these capabilities have now been proven at City and of course we consider what the data risk is as well as any regulatory requirement so how do you how do you tackle the complexity of multiple cloud environments so every cloud provider has its own unique set of capabilities they have they're own api's distributions value-added services we wanted to make sure that we could arbitrate between the different cloud providers maintain all source code and orchestration capabilities on Prem to drive those capabilities from within our platforms this requires controlling the entitlements in a cohesive fashion across our on Prem and Wolfram both for security services automation telemetry as one seamless unit can you talk a bit about how you decide when you to use your own on-premise infrastructure versus cloud resources sure so there are multiple dimensions that we take into account right so the first dimension we talk about the risk so low risk - high risk and and really that's about the data classification of the environment we're talking about so whether it's public or internal which would be considered low - ooh confidential PII restricted sensitive and so on and above which is really what would be considered a high-risk the second dimension would be would focus on demand volatility and responsiveness sensitivity so this would range from low response sensitivity and low variability of the type of workload that we have to the high response sensitivity and high variability of the workload the first combination that we focused on is the low risk and high variability and high sensitivity for response type workload of course any of the workloads we ensure that we're regulatory compliant as well as we achieve customer benefits with within this environment so how can we give developers greater control of their their infrastructure environments and still help operations maintain that consistency in compliance so the main driver is really to use the public cloud is scale speed and increased developer efficiencies as well as reducing cost as well as risk this would mean providing develop workspaces and multiple environments for our developers to quickly create products for our customers all this is done of course in a DevOps model while maintaining the source and artifacts registry on-prem this would allow our developers to test and select various middleware products another product but also ensure all the compliance activities in a centrally controlled repository so we really really appreciate you coming by and sharing that with us today Monte thank you so much for coming to the red echo thanks a lot thanks again tamati I mean you know there's these real world insight into how our products and technologies are really running the businesses today that's that's just the most exciting part so thank thanks thanks again mati no even it with as much progress as you've seen demonstrated here and you're going to continue to see all week long we're far from done so I want to just take us a little bit into the path forward and where we we go today we've talked about this a lot innovation today is driven by open source development I don't think there's any question about that certainly not in this room and even across the industry as a whole that's a long way that we've come from when we started our first summit 14 years ago with over a million open source projects out there this unit this innovation aggregates into various community platforms and it finally culminates in commercial open source based open source developed products these products run many of the mission-critical applications in business today you've heard just a couple of those today here on stage but it's everywhere it's running the world today but to make customers successful with that interact innovation to run their real-world business applications these open source products have to be able to leverage increase increasingly complex infrastructure footprints we must also ensure a common base for the developer and ultimately the application no matter which footprint they choose as you heard mati say the developers want choice here no matter which no matter which footprint they are ultimately going to run their those applications on they want that flexibility from the data center to possibly any public cloud out there in regardless of whether that application was built yesterday or has been running the business for the last 10 years and was built on 10-year old technology this is the flexibility that developers require today but what does different infrastructure we may require different pieces of the technical stack in that deployment one example of this that Effects of many things as KVM which provides the foundation for many of those use cases that require virtualization KVM offers a level of consistency from a technical perspective but rel extends that consistency to add a level of commercial and ecosystem consistency for the application across all those footprints this is very important in the enterprise but while rel and KVM formed the foundation other technologies are needed to really satisfy the functions on these different footprints traditional virtualization has requirements that are satisfied by projects like overt and products like Rev traditional traditional private cloud implementations has requirements that are satisfied on projects like OpenStack and products like Red Hat OpenStack platform and as applications begin to become more container based we are seeing many requirements driven driven natively into containers the same Linux in different forms provides this common base across these four footprints this level of compatible compatibility is critical to operators who must best utilize the infinite must better utilize secure and deploy the infrastructure that they have and they're responsible for developers on the other hand they care most about having a platform that can creates that consistency for their applications they care about their services and the services that they need to consume within those applications and they don't want limitations on where they run they want service but they want it anywhere not necessarily just from Amazon they want integration between applications no matter where they run they still want to run their Java EE now named Jakarta EE apps and bring those applications forward into containers and micro services they need able to orchestrate these frameworks and many more across all these different footprints in a consistent secure fashion this creates natural tension between development and operations frankly customers amplify this tension with organizational boundaries that are holdover from the UNIX era of computing it's really the job of our platforms to seamlessly remove these boundaries and it's the it's the goal of RedHat to seamlessly get you from the old world to the new world we're gonna show you a really cool demo demonstration now we're gonna show you how you can automate this transition first we're gonna take a Windows virtual machine from a traditional VMware deployment we're gonna convert it into a KVM based virtual machine running in a container all under the kubernetes umbrella this makes virtual machines more access more accessible to the developer this will accelerate the transformation of those virtual machines into cloud native container based form well we will work this prot we will worked as capability over the product line in the coming releases so we can strike the balance of enabling our developers to move in this direction we want to be able to do this while enabling mission-critical operations to still do their job so let's bring Byrne his team back up to show you this in action for one more thanks all right what Red Hat we recognized that large organizations large enterprises have a substantial investment and legacy virtualization technology and this is holding you back you have thousands of virtual machines that need to be modernized so what you're about to see next okay it's something very special with me here on stage we have James Lebowski he's gonna be walking us through he's represents our operations folks and he's gonna be walking us through a mass migration but also is Itamar Hine who's our lead developer of a very special application and he's gonna be modernizing container izing and optimizing our application all right so let's get started James thanks burr yeah so as you can see I have a typical VMware environment here I'm in the vSphere client I've got a number of virtual machines a handful of them that make up my one of my applications for my development environment in this case and what I want to do is migrate those over to a KVM based right at virtualization environment so what I'm gonna do is I'm gonna go to cloud forms our cloud management platform that's our first step and you know cloud forms actually already has discovered both my rev environment and my vSphere environment and understands the compute network and storage there so you'll notice one of the capabilities we built is this new capability called migrations and underneath here I could begin to there's two steps and the first thing I need to do is start to create my infrastructure mappings what this will allow me to do is map my compute networking storage between vSphere and Rev so cloud forms understands how those relate let's go ahead and create an infrastructure mapping I'll call that summit infrastructure mapping and then I'm gonna begin to map my two environments first the compute so the clusters here next the data stores so those virtual machines happen to live on datastore - in vSphere and I'll target them a datastore data to inside of my revenue Arman and finally my networks those live on network 100 so I'll map those from vSphere to rover so once my infrastructure is map the next step I need to do is actually begin to create a plan to migrate those virtual machines so I'll continue to the plan wizard here I'll select the infrastructure mapping I just created and I'll select migrate my development environment from those virtual machines to Rev and then I need to import a CSV file the CSV file is going to contain a list of all the virtual machines that I want to migrate that were there and that's it once I hit create what's going to happen cloud forms is going to begin in an automated fashion shutting down those virtual machines begin converting them taking care of all the minutia that you'd have to do manually it's gonna do that all automatically for me so I don't have to worry about all those manual interactions and no longer do I have to go manually shut them down but it's going to take care of that all for me you can see the migrations kicked off here this is the I've got the my VMs are migrating here and if I go back to the screen here you can see that we're gonna start seeing those shutdown okay awesome but as people want to know more information about this how would they dive deeper into this technology later this week yeah it's a great question so we have a workload portability session in the hybrid cloud on Wednesday if you want to see a presentation that deep dives into this topic and how some of the methodologies to migrate and then on Thursday we actually have a hands-on lab it's the IT optimization VM migration lab that you can check out and as you can see those are shutting down here yeah we see a powering off right now that's fantastic absolutely so if I go back now that's gonna take a while you got to convert all the disks and move them over but we'll notice is previously I had already run one migration of a single application that was a Windows virtual machine running and if I browse over to Red Hat virtualization I can see on the dashboard here I could browse to virtual machines I have migrated that Windows virtual machine and if I open up a tab I can now browse to my Windows virtual machine which is running our wingtip toy store application our sample application here and now my VM has been moved over from Rev to Vita from VMware to Rev and is available for Itamar all right great available to our developers all right Itamar what are you gonna do for us here well James it's great that you can save cost by moving from VMware to reddit virtualization but I want to containerize our application and with container native virtualization I can run my virtual machine on OpenShift like any other container using Huebert a kubernetes operator to run and manage virtual machines let's look at the open ship service catalog you can see we have a new virtualization section here we can import KVM or VMware virtual machines or if there are already loaded we can create new instances of them for the developer to work with just need to give named CPU memory we can do other virtualization parameters and create our virtual machines now let's see how this looks like in the openshift console the cool thing about KVM is virtual machines are just Linux processes so they can act and behave like other open shipped applications we build in more than a decade of virtualization experience with KVM reddit virtualization and OpenStack and can now benefit from kubernetes and open shift to manage and orchestrate our virtual machines since we know this virtual machine this container is actually a virtual machine we can do virtual machine stuff with it like shutdown reboot or open a remote desktop session to it but we can also see this is just a container like any other container in openshift and even though the web application is running inside a Windows virtual machine the developer can still use open shift mechanisms like services and routes let's browse our web application using the OpenShift service it's the same wingtip toys application but this time the virtual machine is running on open shift but we're not done we want to containerize our application since it's a Windows virtual machine we can open a remote desktop session to it we see we have here Visual Studio and an asp.net application let's start container izing by moving the Microsoft sequel server database from running inside the Windows virtual machine to running on Red Hat Enterprise Linux as an open shipped container we'll go back to the open shipped Service Catalog this time we'll go to the database section and just as easily we'll create a sequel server container just need to accept the EULA provide password and choose the Edition we want and create a database and again we can see the sequel server is just another container running on OpenShift now let's take let's find the connection details for our database to keep this simple we'll take the IP address of our database service go back to the web application to visual studio update the IP address in the connection string publish our application and go back to browse it through OpenShift fortunately for us the user experience team heard we're modernizing our application so they pitched in and pushed new icons to use with our containerized database to also modernize the look and feel it's still the same wingtip toys application it's running in a virtual machine on openshift but it's now using a containerized database to recap we saw that we can run virtual machines natively on openshift like any other container based application modernize and mesh them together we containerize the database but we can use the same approach to containerize any part of our application so some items here to deserve repeating one thing you saw is Red Hat Enterprise Linux burning sequel server in a container on open shift and you also saw Windows VM where the dotnet native application also running inside of open ships so tell us what's special about that that seems pretty crazy what you did there exactly burr if we take a look under the hood we can use the kubernetes commands to see the list of our containers in this case the sequel server and the virtual machine containers but since Q Bert is a kubernetes operator we can actually use kubernetes commands like cube Cpl to list our virtual machines and manage our virtual machines like any other entity in kubernetes I love that so there's your crew meta gem oh we can see the kind says virtual machine that is totally awesome now people here are gonna be very excited about what they just saw we're gonna get more information and when will this be coming well you know what can they do to dive in this will be available as part of reddit Cloud suite in tech preview later this year but we are looking for early adopters now so give us a call also come check our deep dive session introducing container native virtualization Thursday 2:00 p.m. awesome that is so incredible so we went from the old to the new from the close to the open the Red Hat way you're gonna be seeing more from our demonstration team that's coming Thursday at 8 a.m. do not be late if you like what you saw this today you're gonna see a lot more of that going forward so we got some really special things in store for you so at this point thank you so much in tomorrow thank you so much you guys are awesome yeah now we have one more special guest a very early adopter of Red Hat Enterprise Linux we've had over a 12-year partnership and relationship with this organization they've been a steadfast Linux and middleware customer for many many years now please extend a warm welcome to Raj China from the Royal Bank of Canada thank you thank you it's great to be here RBC is a large global full-service is back we have the largest bank in Canada top 10 global operate in 30 countries and run five key business segments personal commercial banking investor in Treasury services capital markets wealth management and insurance but honestly unless you're in the banking segment those five business segments that I just mentioned may not mean a lot to you but what you might appreciate is the fact that we've been around in business for over 150 years we started our digital transformation journey about four years ago and we are focused on new and innovative technologies that will help deliver the capabilities and lifestyle our clients are looking for we have a very simple vision and we often refer to it as the digitally enabled bank of the future but as you can appreciate transforming a hundred fifty year old Bank is not easy it certainly does not happen overnight to that end we had a clear unwavering vision a very strong innovation agenda and most importantly a focus towards a flawless execution today in banking business strategy and IT strategy are one in the same they are not two separate things we believe that in order to be the number one bank we have to have the number one tactic there is no question that most of today's innovations happens in the open source community RBC relies on RedHat as a key partner to help us consume these open source innovations in a manner that it meets our enterprise needs RBC was an early adopter of Linux we operate one of the largest footprints of rel in Canada same with tables we had tremendous success in driving cost out of infrastructure by partnering with rahat while at the same time delivering a world-class hosting service to your business over our 12 year partnership Red Hat has proven that they have mastered the art of working closely with the upstream open source community understanding the needs of an enterprise like us in delivering these open source innovations in a manner that we can consume and build upon we are working with red hat to help increase our agility and better leverage public and private cloud offerings we adopted virtualization ansible and containers and are excited about continuing our partnership with Red Hat in this journey throughout this journey we simply cannot replace everything we've had from the past we have to bring forward these investments of the past and improve upon them with new and emerging technologies it is about utilizing emerging technologies but at the same time focusing on the business outcome the business outcome for us is serving our clients and delivering the information that they are looking for whenever they need it and in whatever form factor they're looking for but technology improvements alone are simply not sufficient to do a digital transformation creating the right culture of change and adopting new methodologies is key we introduced agile and DevOps which has boosted the number of adult projects at RBC and increase the frequency at which we do new releases to our mobile app as a matter of fact these methodologies have enabled us to deliver apps over 20x faster than before the other point about around culture that I wanted to mention was we wanted to build an engineering culture an engineering culture is one which rewards curiosity trying new things investing in new technologies and being a leader not necessarily a follower Red Hat has been a critical partner in our journey to date as we adopt elements of open source culture in engineering culture what you seen today about red hearts focus on new technology innovations while never losing sight of helping you bring forward the investments you've already made in the past is something that makes Red Hat unique we are excited to see red arts investment in leadership in open source technologies to help bring the potential of these amazing things together thank you that's great the thing you know seeing going from the old world to the new with automation so you know the things you've seen demonstrated today they're they're they're more sophisticated than any one company could ever have done on their own certainly not by using a proprietary development model because of this it's really easy to see why open source has become the center of gravity for enterprise computing today with all the progress open-source has made we're constantly looking for new ways of accelerating that into our products so we can take that into the enterprise with customers like these that you've met what you've met today now we recently made in addition to the Red Hat family we brought in core OS to the Red Hat family and you know adding core OS has really been our latest move to accelerate that innovation into our products this will help the adoption of open shift container platform even deeper into the enterprise and as we did with the Linux core platform in 2002 this is just exactly what we did with with Linux back then today we're announcing some exciting new technology directions first we'll integrate the benefits of automated operations so for example you'll see dramatic improvements in the automated intelligence about the state of your clusters in OpenShift with the core OS additions also as part of open shift will include a new variant of rel called Red Hat core OS maintaining the consistency of rel farhat for the operation side of the house while allowing for a consumption of over-the-air updates from the kernel to kubernetes later today you'll hear how we are extending automated operations beyond customers and even out to partners all of this starting with the next release of open shift in July now all of this of course will continue in an upstream open source innovation model that includes continuing container linux for the community users today while also evolving the commercial products to bring that innovation out to the enterprise this this combination is really defining the platform of the future everything we've done for the last 16 years since we first brought rel to the commercial market because get has been to get us just to this point hybrid cloud computing is now being deployed multiple times in enterprises every single day all powered by the open source model and powered by the open source model we will continue to redefine the software industry forever no in 2002 with all of you we made Linux the choice for enterprise computing this changed the innovation model forever and I started the session today talking about our prediction of seven years ago on the future being open we've all seen so much happen in those in those seven years we at Red Hat have celebrated our 25th anniversary including 16 years of rel and the enterprise it's now 2018 open hybrid cloud is not only a reality but it is the driving model in enterprise computing today and this hybrid cloud world would not even be possible without Linux as a platform in the open source development model a build around it and while we have think we may have accomplished a lot in that time and we may think we have changed the world a lot we have but I'm telling you the best is yet to come now that Linux and open source software is firmly driving that innovation in the enterprise what we've accomplished today and up till now has just set the stage for us together to change the world once again and just as we did with rel more than 15 years ago with our partners we will make hybrid cloud the default in the enterprise and I will take that bet every single day have a great show and have fun watching the future of computing unfold right in front of your eyes see you later [Applause] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] anytime [Music]

>> Announcer: From San Francisco, it's theCUBE. Covering Red Hat Summit 2018 brought to you by Red Hat. >> Hello everyone and welcome back to see CUBE's exclusive coverage of Red Hat Summit 2018 live in San Francisco, California at Moscone West. I'm John Furrier, your cohost of theCUBE with John Troyer co-founder of Tech Reckoning advisory and community development firm. Our next two guests Mike Piech Vice President and General Manager of middleware at Red Hat and Mark Little, Vice President of Software Engineering for middleware at Red Hat. This is the stack wars right here. Guys thanks for coming back, good to see you guys again. >> Great to see you too. >> So we love Middleware because Dave Vellante and I and Stu always talk about like the real value is going to be created in abstraction layers. You're seeing examples of that all over the place but Kubernetes containers, multi-cloud conversations. Workload management and all these things are happening at these really cool abstraction layers. That's obviously you say global I say middleware but you know it's where the action is. So I got to ask you, super cool that you guys have been leading in there but the new stuff's happening. So let's just go review last year or was it this year? What's different this year, new things happening within the company? We see core OS' in there, you guys got OpenShift is humming along beautifully. What's new in the middleware group? >> There's a few things. I'll take one and then maybe Mike can think of another while I'm speaking but when we were here this time last year we were talking about functions as a service or server-less and we had a project of our own called Funktion with a K, between then and now the developer affinity around functions as a service has just grown. Lots of people are now using it and starting to use it in production. We did a review of what we were doing back then and looked around at other efforts that were in the market space and we decided actually we wanted to get involved with a large community of developers and try and move that in a direction that was pretty beneficial for everybody but clearly for ourselves. And we've decided, and we announced this publicly last year but we're now involved with a project called Apache OpenWhisk instead of Funktion. And OpenWhisk is a project that IBM originally kicked off. We got involved, it was tied very closely to cloud foundering so one of the first things that we've been doing is making it more Kubernetes native and allowing it to run on OpenShift. In fact we're making some announcements this week around our functions are service based on Apache OpenWhisk. But that's probably one of the bigger things that's changed in the last 12 months. >> I would just add to that that across the rest of the middleware portfolio which is as you know, a wide range of different technologies, different products, in our integration area we continue to push ahead with containerizing, putting the integration technologies in the containers, making it easier to basically connect the different components of applications and different applications to each other together through different integration paradigms whether it's messaging or more of a bus style. So with our Jboss Fuse and our AMQ we've made great progress in continuing to refine how those are invoked and consumed in the Openshift environment. Forthcoming very shortly, literally in the next week or two is our integration platform as a service based on the Fuse and AMQ technologies. In addition we've continued to charge ahead with our API management solution based on the technology we acquired from Threescale a couple of years ago. So that is coming along nicely, being very well adopted by our customers. Then further up the stack on the process automation front, so some of the business process management types of technologies we've continued to push ahead with containerizing and that was being higher up the stack and a little bit bigger a scale of technology was a little bit more complex in really setting it up for the containerized world but we've got our Process Automation 7.0 release coming out in the next few weeks. That includes some exciting new technology around case management, so really bringing all of those traditional middleware capabilities forward into the Cloud Native, containerized environment has been I would say the most significant focus of our efforts over the last year. >> Go ahead. >> Can you contextualize some of that a little bit for us? The OpenShift obviously a big topic of conversation here. You know the new thing that everyone's looking at and Kubernetes, but these service layers, these layers it takes to build an app still necessary, Jboss a piece of this stack is 17, 18 years old, right? So can you contextualize it a little bit for people thinking about okay we've got OpenStack on the bottom, we've got OpenShift, where does the middleware and the business process, how has that had to be modernized? And how are people, the Java developers, still fitting into the equation? >> Mark: So a lot of that contextualization can actually, if we go back about four or five years, we announced an initiative called Xpass which was to essentially take the rich middleware suite of products and capabilities we had, and decompose them into independently consumable services kind of like what you see when you look at AWS. They've got the simple queuing service, simple messaging service. We have those capabilities but in the past they were bundled together in an app server, so we worked to pull them apart and allow people to use them independently so if you wanted transactions, or you wanted security, you didn't have to consume the whole app server you actually had these as independent services, so that was Xpass. We've continued on that road for the past few years and a lot of those services are now available as part and parcel of OpenShift. To get to the developer side of things, then we put language veneers on top of those because we're a Java company, well at least middleware is, but there's a lot more than Java out there. There's a lot of people who like to use Pearl or PHP or JavaScript or Go, so we can provide language specific clients for them to interact. At the end of the day, your JavaScript developer who's using bulletproof, high performing messaging doesn't need to know that most of it is implemented in Java. It's just a complete opaque box to them in a way. >> John F: So this is a trend of microservices, this granularity concept of this decomposition, things that you guys are doing is to line up with what people want, work with services directly. >> Absolutely right, to give developers the entire spectrum of granularity. So they can basically architect at a granularity that's appropriate for the given part of their job they're working on it's not a one size fits all proposition. It's not like throw all the monoliths out and decompose every last workload into it's finest grain possible pieces. There's a time and a place for ultra-fine granularity and there's also a time and a place to group things together and with the way that we're providing our runtimes and the reference architectures and the general design paradigm that we're sort of curating and recommending for our customers, it really is all about, not just the right tool for the job but the right granularity for the job. >> It's really choice too, I mean people can choose and then based on their architecture they can manage it the way they want from a design standpoint. Alright I got to get your guys' opinion on something. Certainly we had a great week in Copenhagen last week, in Denmark, around CUBECon, Kubernetes conference, Cloud NativeCon, whatever it's called, they're called two things. There was a rallying cry around Kubernetes and really the community felt like that Linix moment or that TCPIP moment where people talk about standards but like when will we just do something? We got to get behind it and then differentiate and provide all kinds of coolness around it. Core defacto stand with Kubernetes is opening up all kinds of new creative license for developers, it's also bringing up an accelerated growth. Istio's right around the corner, Cubeflow have the cool stuff on how software's being built. >> Right. >> So very cool rallying cry. What is the rallying cry in middleware, in your world? Is there a similar impact going on and what is that? >> Yeah >> Because you guys are certainly affected by this, this is how software will be built. It's going to be orchestrated, composed, granularity options, all kinds of microservices, what's the rallying cry in the middleware? >> So I think the rallying cry, two years ago, at Summit we announced something called MicroProfile with IBM, with Tomitribe, another apps vendor, Piara and a few quite large Java user groups to try and do something innovative and microservices specific with Enterprise Java. It was incredibly successful but the big elephant in the room who wasn't involved in that was Oracle, who at the time was still controlling Java E and a lot of what we do is dependent on Java E, a lot of what other vendors who don't necessarily talk about it do is also dependent on Java E to one degree or another. Even Pivotal with Springboot requires a lot of core services like messaging and transactions that are defined in Java E. So two years further forward where we are today, we've been working with IBM and Oracle and others and we've actually moved, or in process of moving all of Java E away from the old process, away from a single vendor's control into the Eclipse Foundation and although that's going to take us a little while longer to do we've been on that path for about four or five months. The amount of buzz and interest in the community and from companies big and small who would never have got involved in Java E in the past is immense. We're seeing new people get involved with Eclipse Foundation, and new companies get involved with Eclipse Foundation on a daily basis so that they can get in there and start to innovate in Enterprise Java in a much more agile and interesting way than they could have done in the past. I think that's kind of our rallying call because like I said we're getting lots of vendors, Pivotal's involved, Fujitsu. >> John F: And the impact of this is going to be what? >> A lot more innovation, a lot quicker innovation and it's not going to be at the slow speed of standards it's going to be at the fast, upstream, open source innovative speed that we see in likes of Kubernetes. >> And Eclipse has got a good reputation as well. >> Yeah, the other significant thing here, in addition to the faster innovation is it's a way forward for all of that existing Java expertise, it's a way for some of the patterns and some of the knowledge that they have already to be applied in this new world of Cloud Native. So you're not throwing out all that and having to essentially retrain double digit millions of developers around the world. >> John F: It's instant developer actually and plus Java's a great language, it's the bulldozer of languages, it can move a lot, it does a lot of heavy lifting >> Yep. >> And there's a lot of developers out there. Okay, final question I know you guys got to go, thanks for spending the time on theCUBE, really appreciate certainly very relevant, middleware is key to the all the action. Lot of glue going on in that layers. What's going on at the show here for you guys? What's hot, what should people pay attention to? What should they look for? >> Mark: I'll give my take, what's hot is any talk to do with middleware >> (laughs) Biased. >> But kind of seriously we do have a lot of good stuff going on with messaging and Kafka. Kafka's really hot at the moment. We've just released our own project which is eventually going to become a product called Strimsy, integrated with OpenShift so it's coognative from the get-go, it's available now. We're integrating that with OpenWhisk, which we talked about earlier, and also with our own reactive async platform called Vertex, so there's a number of sessions on that and if I get a chance I'm hoping to say into one >> John F: So real quick though I mean streaming is important because you talk about granularity, people are going to start streaming services with service measures right around the corner, the notion of streaming asynchronously is going to be a huge deal >> Absolutely, absolutely. >> Mark: And tapping into that stream at any point in time and then pulling the plug and then doing the work based on that. >> Also real quick, Kubernetes, obviously the momentum is phenomenal in Cloud Native but becoming a first class citizen in the enterprise, still some work to do. Thoughts on that real quick? Would you say Kubernetes's Native, is it coming faster? Will it ever be, certainly I think it will be but. >> I think this is the year of Kubernetes and of enterprise Kubernetes. >> Mike: I mean you just look at the phenomenal growth of OpenShift and that in a way speaks directly to this point >> Mike, what's hot, what's hot? What are you doing at the show, what should we look at? I'd add to, I certainly would echo the points Mark made and in addition to that I would take a look at any session here on API management. Again within middleware the three-scale technology we acquired is still going gangbusters, the customers are loving that, finding it extremely helpful as they start to navigate the complexity of doing essentially distributive computing using containers and microservices, getting more disciplined about API management is of huge relevance in that world, so that would be the next thing I'd add. >> Congratulations guys, finally the operating system called the Cloud is taking over the world. It's basically distributed computer all connected together, it sounds like >> All that stuff we learned in the eighties right (laughs) >> It's a systems world, the middleware is changing the game, modern software construction of Apple cases all being done in a new way, looking at orchestration, server lists, service meshes all happening in real time, guys congratulations on the all the work and Red Hats. Be keeping it in the open, Java E coming around the corner as well, it's theCUBE bringing it out in the open here in San Francisco, I'm John Furrier with John Troyer we'll be back with more live coverage after this short break

>> Announcer: Live from New York City. It's theCUBE. Covering CyberConnect 2017. Brought to you by Centrify, and the Institute for Critical Infrastructure Technology. >> Hey, welcome back everyone. Live here with Cube coverage in New York City, our favorite place to be when we've got all the action going on. CyberConnect 2017 is an inaugural event where industry, government comes together to solve the crisis of our generation. That's cybersecurity. I'm John Furrier, co-host theCube My partner Dave Vellante here. Our next guest is Chris Novak, VTRAC Global Director, Threat Research Advisory Center at Verizon. Welcome to theCube, great to have you. >> Thanks, pleasure to be here. >> So you do all the homework. You've got the forensic data. You're the one looks at the threats. You're the burning bush of cyber intelligence. What's happening? Tell us what's the threats? >> Everything. So, it's interesting because I always find what I do to be wildly exciting just because it's always changing, right? Everything we see. It's kind of' like being a cop. Ultimately you're investigating unknowns all the time, trying to figure out how they happen, why they happen, who they happen to, but more importantly than that, how do you get ahead of it to prevent being the next one, or prevent it happening to others? And that's really the thrust of what we're out to do. >> Talk about the challenges 'cause General Keith Alexander was on stage talking about how he compared it to an airline crashing, where they come in looking for the black box, and it's worse because you don't even know what happened, who was involved. >> Chris: That's right. >> The notion of anonymous, public domain software is causing all kinds of democratization, good and bad, bad being actors that we don't even know attacking us. What is the landscape of how you identify what's going on? >> Yeah, and it gets even more challenging than that because I like that analogy, and I'd say I'd almost take it one step further and say the analogy of the airline and looking for the black box. In many cases when we go in to do an investigation, we're just hoping that there was a black box to look at to begin with. In many cases, we get there and there was no information, and we're trying to take all the pieces and put it together of what's left. And ultimately what we see is, it keeps evolving, right? It keeps getting harder, and the threat actors keep getting better. What I always tell folks is, while many of us all have to play by a set of rules, or regulations, or compliance obligations, the threat actors don't have to do any of that. They're free to do whatever works for them, and repeat it over and over again, and, for them, it's a business. >> So Dave and I were talking earlier. I want to get your reaction to this. About the importance of Stuxnet. Ars Technica has a report coming out that certificate authorities were compromised well before Stuxnet. But Stuxnet is the Pearl Harbor, cyber Pearl Harbor, as a point in time. So much has happened since then. So from that kind of Pearl Harbor moment of the wakening of, oh my God, to today, what's the landscape look like? How important was the Stuxnet to that point in time now, and how has it evolved? What's changed? >> Sure, and I think a couple of key things that come out of that. One is, you start to see more and more attribution to government-related attacks. Some are actively sponsored and known. Some are, we're just diggin' through the details and the weeds to try and figure out who's actually behind it and attribution may never actually take place. >> Or it could not be real 'cause they want to blame their enemy so that they get attacked. >> Well, and that's the either beauty or downside of cyber is that you can conduct it in a vacuum, in an anonymous fashion. So, in many respects, you can conduct an attack remotely and try to give it all the hallmarks of someone else, making it further difficult to attribute it. >> And the tools are now available too, so like, I hear reports that states are sponsoring, or releasing in the public domain, awesome hacks, like Stuxnet of the future, which some say was released and then got out of control by accident. >> And that's always something you have to be concerned about is the fact that once this stuff gets out there, even if you only intended to use this malware or attack vector once. Once you use it on that victim, there is a potential that that spreads. >> But you guys have been doing this study for the last decade. >> Correct. >> So you've seen the shift from sort of hacktivist to nation-sponsored malware. What has the research shown you over the last decade as that shift has occurred? >> Yeah, it's interesting because you look at it and a lot of what we still see today are financially-motivated and interestingly enough, opportunistic, low-hanging fruit kind of attacks. About 70 to 80% fall in that category, and about 20 to 25, depending on the year, are nation state, but that keeps growing each year. And, I think a lot of it is. >> John: What the nation state piece? >> The nation state piece. But it's still the smaller piece of the pie or the graph, whatever you're looking at, because, at the end of the day >> It's cash. >> It's cash. >> They want the cash. >> And so much of what we find when you look back at the old days of breaches where the majority of them were, they weren't even really breaches of theft of data, it was someone. >> Confetti, graffiti. >> I should have actually asked that question differently because it's really went from hacktivist to criminals. >> Chris: Correct. >> To nation states and you're saying the dominant now is criminal activity. >> That's correct. Yeah, we find the large piece of it about more than half is organized crime. It comes down to, look, you can steal money in a variety of different ways. This is a way to do it safely from thousand miles away >> And no one knows who you are. >> on the other end of a keyboard. >> So it's annoyance. >> And by the way, no consequence. Who's going to? >> Virtually, yeah. >> What court do you go to? >> So its annoyance is the hacktivist. Okay, we can kind of' live with that. It's cash and it's threats to critical infrastructure. >> And we see kind of a graduation there where you see the activists realize, I can this and make a point, but a point doesn't necessarily make me money, or I can do this for an organized crime group and make millions of dollars. Hmmmm. >> And, by the way, to your point which we were just teasing out, Dave. There is zero downside, because if you get caught, what happens? >> Yeah. >> If you get caught. >> If you get caught, yeah. And then what happens if you get caught? >> There's no jurisdiction. >> You don't make money. >> No, no, there's no courts. >> It's very hard to prosecute. >> There's actually no process for that. >> So, we heard this morning that WannaCry and other examples of malware really weren't about malware. I mean, sorry, they really weren't about ransomware, they were about sending a message, or politics. So, you're obviously seeing more of that in your research. >> Chris: Exactly right. >> Fake news, and I wonder if you could comment. >> Absolutely, yeah. So, in fact, it was interesting because some of those had continued to come out. Everyone kept thinking that it was all ransomware, and then as we studied it further we found some of these, they never had the intention of collecting a ransom, or giving the data back. It was all about making a political point, and you now have this kind of injection of politics into something that was really, traditionally, just organized crime, smash and grab, make cash. Now politics is feeding into that, going, wait, we can affect and influence and all sorts of things in ways people have never imagined and people don't even know it's going on. >> So you must be seeing a dramatic improvement in the quality, hate to say this, but the quality of malware, over the last decade. Less bugs, less errors, >> More sophisticated. >> More insidious, sophisticated. >> That's exactly right >> Vectors. >> We do see that continuing to improve and for them, like I always tell folks, they operate it like a business. You'll have some of these groups where they'll have different divisions or departments. People will have clearly-defined roles and responsibilities of what they're supposed to be doing in generating that malware, troubleshooting it, and they'll even reward people for how well it works. >> Chris, I'd like to get your personal opinion. If you could put your Verizon hat on too, I will take any opinions that you have. How do we solve this? 'Cause this event here. We like this inaugural event because it's the first industry event that talks about the big picture, the holistic view, the 20-mile stare, if you want to' say it that way. Not the Black Hat, which has its own conference, and there should be more of that. This is industry coming together. Governments now intersecting here. What's your opinion on how this gets solved. We heard community, shared data, that's been going around. What do you think? >> So, that's probably the hardest question I get asked, and, honestly, I think it's because there's not really a simple answer to it, right? It's like saying, how do we stop crime? We don't. It's not going to be possible. It's a matter of, how do we put up better defenses? And also, important, how do we put up better detection, so that we can see things and, potentially, stop them sooner before they blow up into these big, multi-hundred-million record, or billion record breaches? So, one of the biggest things that I advocate is awareness. We also have to do things like pro-active threat hunting, right? If you're not out there. It's kind of like having security guards, right? You go through any office and you've got security guards walking the halls, sitting in the lobby, looking for things that are unusual. If we're not out there in the cyber realm looking for unusual things, you can't expect that you're going to see them until they've reached a certain blow-up point. >> Or are they cloaked? Completely cloaked. You can't see 'em. >> That's also true. >> Security guards are looking for someone they can't see. >> That's true. >> Chris, thanks so much for coming here and sharing the opinion. Follow the research. And your report's public, or? >> Yes, the reports are all available on the VerizonEnterprise.com website. >> Okay, VerizonEnterprise.com. Check it out. These reports are a treasure trove of information. Always getting it out. Thanks for your perspective. Lookin' for more trends. Chris Novak here inside theCube here in New York City's live coverage of CyberConnect 2017. I'm John with Dave Vallente. We're back with more coverage after this short break. (techno music)

>> Narrator: Live from Washington D.C. it's the Cube covering .Next Conference, brought to you by Nutanix. >> Welcome back to D.C., everybody, this is the Cube, the leader in live tech coverage. This is our special coverage and presentation of Nutanix NextConf 2017. This is the third U.S. conference that the Cube has done of Nutanix .NEXT. Nicolaus Radford is here as a Senior Vice President of Engineering and the CTO at Houston Mechatronics, wait till you hear what these guys do, and Satyam Vaghani, who is the V.P. of technology at Nutanix. Gentlemen, welcome to The Cube. >> Glad to be here. >> How you doing? >> Let's get right into it. >> Yep. >> We're talking IOT, we're talking edge, you guys do some pretty interesting stuff. Tell us about the company. >> Well we're a robotics as a service company primarily, but we do some intelligent automation and intelligent drilling, in the IOT space, so it's pretty exciting and dynamic area, actually, and... Just imagine taking a bunch of different systems that haven't typically talked together before, and we've kind of glued them all together. And one of the big oil field services companies was attracted to our sort of thinking in this area, and have taken some, given us some work, and you know, we're taking and running with it. >> Can you just explain what robotics as a service means? >> Well usually, you know, you can kind of break this down in a couple different ways, you know, there's a lot of people out there that sell robots and it's kind of a thin business, right? You know, you might sell a robot and then the people you sell it to use it and make a bunch of money off of it, and then you're stuck trying to find a new customer to sell a robot to. But if you consume the robots, so to speak, that you build, and then use them as a service, it's a much more lucrative position to have. And so we do technology systems development for partners, and then we also operate that robot in the field for them. So it's a good residual, pull-through revenue stream for us. >> So, Satyam, the industrial technology world and the information technology worlds are coming crashing together. >> Satyam: Absolutely. >> IT and OT, Nutanix has been talking about the edge more and more, I mean, if you're not talking about the edge, you're not in the game, but give us an update on your strategy with regard to the edge, and really, your thinking about companies like Nick's. >> I know, great question. I guess I have so much to tell. >> Host: Yeah. >> Nick: Make it edgy. >> Make it edgy. >> Host: Start wherever you like. >> But yeah, I guess we kind of, sort of, naturally fell into it because we saw that the future of computing might be more edgy, if you will, than we think, as you know, right now we are spending a lot of time and energy worrying about clouds, you know, private cloud, public clouds, how to consolidate them. But then at the same time we are seeing that there are so many of these sensors being deployed in the world, just this year it's going to be roughly eight and a half billion sensors, if you count consumer and industrial RD together. By 2020 it's going to be 20 billion sensors. And so all the data that these sensors are going to generate is going to be processed in real time, closer to where the sensors cleared the data, as opposed to slightly farther away, which is in the cloud. Of course, the cloud remains relevant, as the cloud is going to do much more longer term processing, and the edge is going to do real time processing on the data. >> Host: Alright. >> And so, in that sense, we saw that as a natural step two of the hyperconvergence yearning, is if you think about step one of hyperconvergences, the convergence of computer storage and network resources inside a data center, step two is the convergence of the edge and the cloud into one fabric, one OS, if you will. >> Yeah, I wonder if you could help us unpack that a little, 'cause we saw, kind of, public cloud pulled at the data center for years and now the edge is pulling at the cloud. >> Satyam: Pulling it back out. >> So the edge is different from the data center so most people think of Nutanix, you know, I'm either living in a data center or maybe some service provider, so, you know, different form factor, I know there are some announcements Nutanix made to kind of get to robo-cases. Is that the same for the edge? >> Yeah, different form factors, 'cause, you know, some of this hardware needs to be regulized, you know, it's on oil rigs, or drones, or military vehicles, and so on, but also slightly different and evolving storage stack because now the problem of deploying applications at the edge is about deliverers having to write code, and not having to worry about how the code runs on the edge. Because as soon as they have to worry about that, the deliverers become operators, infrastructure operators, and so this one will also have a slightly higher level of application stack, you know, machine learning services, or analytic services at the edge so that applications can directly consume those high level services, as opposed to the lower level, you know. >> Which actually that's, it's really intriguing because as part of our robotics as a service side of our business we have a pipe inspection system that we're going to be deploying in quantity, and so what you... That's a type of edge device, right? That's, I mean robots are really nothing more than fancy data collection systems, right? And so we put them out into the world to collect the data, but then what do you do with that data? How is it stored? What sort of of post analytics are you doing on that data to then feed forward back to the intelligence at the edge so that they can make decisions better, right? So when you have our robot that we call PEARL, the pipe inspection robot, you'll actually see a demo of it later, fingers crossed. As it's traveling through the pipe it's collecting all this data, right? So but all of the runs prior to that, it's afforded all of that knowledge on the decisions it's making right then and there, right? Because we've done all this back learning, if you will, on what deformities look like, which increases the quality of our inspections, and so then if you start looking at a ubiquitous deployment of these type of assets, where you might have 10, 20, 30 in the field, that's a massive amount of data that you're collecting right there, right where the sensor's being taken. The processing of that data is determining whether the robot stops and maybe observes a little bit more, but then it's all being shipped back at a later date to the cloud for further analytics, then to feed forward in the next operation to perform that better. So it's this feedback process of learning between the application that's actually happening in real time, and the later-on analytics that will occur. >> So let's stay on the data for a moment, because it is all about the data. Is it correct that much of the data in your world is analog data that you're able to now convert into digital, or ...? >> Satyam: Yeah, so I mean. >> Or are you already there? >> At the end of the day you're trying to take an analog measurement of some type, right? We live in an analog world, and if I'm trying to measure the thickness of a pipe I'm using a transducer. >> Host: Yeah. >> That by nature is typically an analog device. I can then digitize that information, and that's how I send it over in, you know, communication streams and whatnot, and of course it's stored digitally, but at the end of the day, you know, we're taking analog information, doing data processing on that, looking at what it means in the activity that we're trying to do: measuring the thickness of a tube. And then we ship the data back at a more convenient time when we have more bandwidth back to the cloud for all of the deep learning, deep type of analytics. >> Nicolaus, could you kind of explain that, kind of your stack or your flows. >> Nick: I was hoping you were going to explain it to me. >> Because, how did you get to Nutanix? What goes into what public cloud? What services are you using there? If, whatever you could share would be kind of good to understand. >> We're involved with Nutanix on our rig automation side. And so we use their storage, you know, we use their storage in the way that they've created an excellent way of doing that. And so that's primarily how we interface with them and one of our big oil and gas partners is a huge client of theirs. And so that's our primary relationship with them. In fact I sent Rich a picture of a Nutanix box that we just recently installed in our server room, and I was like, giving the thumbs up, and I was like, "Hey buddy!"You know. >> Alright, and public cloud, you know, do you have a specific one you're using? Are you using many clouds? >> Nick: No, no, no, no, I mean. >> For the processing and data you say some of it goes to the public cloud, though, it just... >> Yeah, no, I mean, it's more under the local area. >> Nick: I mean this is the stuff we're using intern... I mean this is... The security requirements that we have is... >> Host: So your cloud isn't on PremCloud. >> Yeah, exactly. >> Okay. How much of the data, I mean, I know it can't be precise but if you think about all this real-time decision-making that you're doing, how much of the data is actually going to go back to the cloud? I mean, this even rough percentage terms. I want opinions. >> Well we'd like to send it all back, right? >> Host: Hundred percent. It's just what you don't send then and there, right? There might be a little stream of it coming back off of, let's say, our pipe inspection robot, but at some point, though, you want to take that, download everything, store backup, I mean it's and all the big data analytic techniques and analyze it, I mean, you know. >> So you expect you want to persist the majority of the data, and you ultimately will not do that at the edge. You'll ultimately have to get it back up to the cloud. >> Yeah, absolutely, yeah. That's the way we see it. >> Host: You're going to use the Chevy truck... >> Nick: Unless you have a different opinion. >> Use the Chevy truck access method to get it there or what? Go ahead, please. >> I have a different opinion, kind of sort of similar principal but a different opinion which is, you know, in terms of volume, a very small fraction of the data is going to make it to the cloud. But in terms of intelligence, you know, almost hundred percent of the intelligence is going to make it, but it is how the edge participates in reducing the volume of the data. And just again to give you numbers, you know, in the year 2020 it's projected, and this is I think the Cisco Global Cloud Index, they project that roughly 600 zetabytes of data is going to be created on the edge. And the public and private cloud combined in that year is going to roughly witness 15 zetabytes of data. And so the question is where did the rest of it go? And I think my answer is, if you look at, for example, a smart building, or a robot inspection, that kind of scenario, the robot's taking pictures or video streams, which is ridiculously rich data, and changing it into time series, database of whether some anomaly was detected or not, you know, look at a smart airport example. We're going to take a lot of surveillance data and change it into whether a person of interest was detected or not, or did you see a white van that you're looking for? And so really the information, the volume of information goes down but the refinement goes up. Is, you know, the cloud really is interested to know, because, presumably in the smart airport example, you have somebody sitting at a dashboard monitoring all California airports looking for a person of interest, and all they are worried about is whether somebody showed up or not, and so it's the metadata that shows up, as opposed to the raw data. >> So the needles go back. >> Satyam: Needles go back, exactly. That's a good way to put it. Not the haystack. >> Yeah, Nicolaus, one of the things we look at IOTs, it's really created a much larger, I mean, orders of magnitude more surface area for security attacks. Is that something that concerns you, your clients, you know, how can security fit in? >> It concerns our clients very much so. Absolutely, in fact, one of the first questions out of everybody's mouth is, "How are you going to handle security?" So it's paramount and very important. Absolutely. >> Alright, Satyam, how are you going to solve that? >> Satyam: The running joke is Blockchain, and you know, people stop asking questions as soon as you say Blockchain. But no, it's an unbelievable problem. In fact, something that probably we haven't, you know, kind of solved in generations. We are struggling with cloud security, with cyber security, and now we are talking about a number of devices that's going to be three orders of magnitude more than the number of servers that run in the cloud today. >> What about, one of the things we haven't talked about is connectivity. How do you connect the edge? Is it just all wireless? >> Yeah, I mean, the ubiquity of the wireless networking systems are very high right now, I mean it's all... >> Host: How's the quality? >> Ah, you know, good. >> Host: It's like wireless. >> It's like wireless. >> Host: But is it a headwind? >> No it's actually, it's, you know, one of the issues that we're having with honestly, our pipe inspection demonstration today is just being flooded. There's 4,000 people in the main hall, right? And so there's all this wireless activity and sometimes, you know, our pipe inspection robot doesn't know who it should be quite listening to, and I mean, you know, you go to a concert, and you look like you might head to a Metallica concert here and there. >> I do. >> And, you know, sometimes you can't even send a text because there's just so many people and trying to connect and it's a big deal and so... >> Host: So it's a challenge for you. >> Nick: Absolutely it's a challenge. >> Excellent. >> I've seen some vendors, they are deploying special networks, right? They are deploying low bandwidth networks. Verizon's doing it I think, AT&T is doing it. >> Host: Yeah, okay, no pineapples. >> No pineapples hopefully >> That's like the most recent silicon valley episode, right? >> Alright gentlemen, listen, thanks very much. I really appreciate you coming on the Cube. >> Satyam: Thanks for having us. >> Great story and news cases, it's always a pleasure. >> Nick: Thanks >> [Second Interviewer] Good luck with the demo. >> Alright, keep right there everybody we'll be back with our next guests. This is the Cube, we're live from Nutanix NextConf. Be right back. (techno music)

Yeah, I'm Aala, They're the co-founder back to back. This is the cube silicon angle.com, Silicon angle dot TV's production of the cube, our flagship telecasts. We go out to the event. That was a great conversation. I was really just, just cool. I could have, we could have probably hit on a few more things, obviously well read. Awesome. Co-founder of Cloudera a. You were, you did a good job teaming up with that co-founder, huh? Not bad on the cube, huh? He's not bad on the cube, isn't he? He, >>He reads the internet. >>That's what I'm saying. >>Anything is going on. >>He's a cube star, you know, And >>Technology. Jeff knows it. Yeah. >>We, we tell you, I'm smarter just by being in Cloudera all those years. And I actually was following what he was saying, Sad and didn't dust my brain. So, Okay, so you're back. So we were talking earlier with Michaels and about the relational database thing. So I kind of pick that up where we left off with you around, you know, he was really excited. It's like, you know, hey, we saw that relational database movement happen. He was part of that. Yeah, yeah. That generation. And then, but things were happening or kind of happening the same way in a similar way, still early. So I was trying to really peg with him, how early are we, like, so, you know, as the curve, you know, this is 1400, it's not the Javit Center yet. Maybe the Duke world, you know, next year might be at the Javit Center, 35,000 just don't go to Vegas. So I'm trying to figure out where we are on that curve. Yeah. And we on the upwards slope, you know, down here, not even hitting that, >>I think, I think, I think we're moving up quicker than previous waves. And actually if you, if you look for example, Oracle, I think it took them 15, 20 years until they, they really became a mature company, VM VMware, which started about, what, 12, 13 years ago. It took them about maybe eight years to, to be a big company, met your company, and I'm hoping we're gonna do it in five. So a couple more years. >>Highly accelerated. >>Yes. But yeah, we see, I mean, I'm, I'm, I've been surprised by the growth. I have been, Right? I've been told, warned about enterprise software and, and that it takes long for production to take place. >>But the consumerization trend is really changing that. I mean, it seems to be that, yeah, the enterprises always last. Why the shorter >>Cycle? I think the shorter cycle is coming from having the, the, the, the right solution for the right problem at the right time. I think that's a big part of it. So luck definitely is a big part of this. Now, in terms of why this is changing compared to a couple of dec decades ago, why the adoption is changing compared to a couple of decades ago. I, I think that's coming just because of how quickly the technology itself, the underlying hardware is evolving. So right now, the fact that you can buy a single server and it has eight cores to 16 cores has 12 hards to terabytes. Each is, is something that's just pushing the, the, the, the limits what you can do with the existing systems and hence making it more likely for new systems to disrupt them. >>Yeah. We can talk about a lot. It's very easy for people to actually start a, a big data >>Project. >>Yes. For >>Example. Yes. And the hardest part is, okay, what, what do I really, what problem do I need to solve? How am I gonna, how am I gonna monetize it? Right? Those are the hard parts. It's not the, not the underlying >>Technology. Yes, Yes, that's true. That's true. I mean, >>You're saying, eh, you're saying >>Because, because I'm seeing both so much. I'm, I'm seeing both. I'm seeing both. And like, I'm seeing cases where you're right. There's some companies that was like, Oh, this Hadoop thing is so cool. What problem can I solve with it? And I see other companies, like, I have this huge problem and, and, and they don't know that HA exists. It's so, And once they know, they just jump on it right away. It's like, we know when you have a headache and you're searching for the medicine in Espin. Wow. It >>Works. I was talking to Jeff Hiba before he came on stage and, and I didn't even get to it cuz we were so on a nice riff there. Right. Bunch of like a musicians playing the guitar together. But like he, we talked about the it and and dynamics and he said something that I thoughts right. On money and SAP is talking the same thing and said they're going to the lines of business. Yes. Because it is the gatekeeper that's, it's like selling mini computers to a mainframe selling client servers from a mini computer team. Yeah. >>There's not, we're seeing, we're seeing both as well. So more likely the, the former one meaning, meaning that yes, line of business and departments, they adopt the technology and then it comes in and they see there's already these five different departments having it and they think, okay, now we need to formalize this across the organization. >>So what happens then? What are you seeing out there? Like when that happens, that mean people get their hands on, Hey, we got a problem to solve. Yeah. Is that what it comes down to? Well, Hadoop exist. Go get Hadoop. Oh yeah. They plop it in there and I what does it do? They, >>So they pop it into their, in their own installation or on the, on the cloud and they show that this actually is working and solving the problem for them. Yeah. And when that happens, it's a very, it's a very easy adoption from there on because they just go tell it, We need this right now because it's solving this problem and it's gonna make, make us much >>More money moving it right in. Yes. No problems. >>Is is that another reason why the cycle's compressed? I mean, you know, you think client server, there was a lot of resistance from it and now it's more much, Same thing with mobile. I mean mobile is flipped, right? I mean, so okay, bring it in. We gotta deal with it. Yep. I would think the same thing. We, we have a data problem. Let's turn it into an >>Opportunity. Yeah. In my, and it goes back to what I said earlier, the right solution for the right problem at the right time. Like when they, when you have larger amounts of unstructured data, there isn't anything else out there that can even touch what had, can >>Do. So Amar, I need to just change gears here a minute. The gaming stuff. So we have, we we're featured on justin.tv right now on the front page. Oh wow. But the numbers aren't coming in because there's a competing stream of a recently released Modern Warfare three feature. Yes. Yes. So >>I was looking for, we >>Have to compete with Modern Warfare three. So can you, can we talk about Modern Warfare three for a minute and share the folks what you think of the current version, if any, if you played it. Yeah. So >>Unfortunately I'm waiting to get back home. I don't have my Xbox with me here. >>A little like a, I'm talking about >>My lines and business. >>Boom. Water warfares like a Christmas >>Tree here. Sorry. You know, I love, I'm a big gamer. I'm a big video gamer at Cloudera. We have every Thursday at five 30 end office, we, we play Call of of Beauty version four, which is modern world form one actually. And I challenge, I challenge people out there to come challenge our team. Just ping me on Twitter and we'll, we'll do a Cloudera versus >>Let's, let's, let's reframe that. Let team out. There am Abalas company. This is the geeks that invent the future. Jeff Haer Baer at Facebook now at Cloudera. Hammerer leading the charge. These guys are at gamers. So all the young gamers out there am are saying they're gonna challenge you. At which version? >>Modern Warfare one. >>Modern Warfare one. Yes. How do they fire in? Can you set up an >>External We'll >>We'll figure it out. We'll figure it out. Okay. >>Yeah. Just p me on Twitter and We'll, >>We can carry it live actually we can stream that. Yeah, >>That'd be great. >>Great. >>Yeah. So I'll tell you some of our best Hadooop committers and Hadoop developers pitch >>A picture. Modern Warfare >>Three going now Model Warfare three. Very excited about the game. I saw the, the trailers for it looks, graphics look just amazing. Graphics are amazing. I love the Sirius since the first one that came out. And I'm looking forward to getting back home to playing the game. >>I can't play, my son won't let me play. I'm such a fumbler with the Hub. I'm a keyboard controller. I can't work the Xbox controller. Oh, I have a coordination problem my age and I'm just a gluts and like, like Dad, sorry, Charity's over. I can I play with my friends? You the box. But I'm around big gamer. >>But, but in terms of, I mean, something I wanted to bring up is how to link up gaming with big data and analysis and so on. So like, I, I'm a big gamer. I love playing games, but at the same time, whenever I play games, I feel a little bit guilty because it's kind of like wasted time. So it's like, I mean, yeah, it's fun and I'm getting lots of enjoyment on it makes my life much more cheerful. But still, how can we harness all of this, all of these hours that gamers spend playing a game like Modern Warfare three, How can we, how can we collect instrument, all of the data that's coming from that and coming up, for example, with something useful with predicted. >>This is exactly, this is exactly the kind of application that's mainstream is gaming. Yeah. Yeah. Danny at Riot G is telling me, we saw him at Oracle Open World. He's up there for the Java one. He said that they, they don't really have a big data platform and their business is about understanding user behavior rep tons of data about user playing time, who they're playing with. Yeah, Yeah. How they want us to get into currency trading, You know, >>Buy, I can't, I can't mention the names, but some of the biggest giving companies out there are using Hadoop right now. And, and depending on CDH for doing exactly that kind of thing, creating >>A good user experience >>Today, they're doing it for the purpose of enhancing the user experience and improving retention. So they do track everything. Like every single bullet, you fire everything in best Ball Head, you get everything home run, you do. And, and, and in, in a three >>Type of game consecutive headshot, you get >>Everything, everything is being Yeah. Headshot you get and so on. But, but as you said, they are using that information today to sell more products and, and, and retain their users. Now what I'm suggesting is that how can you harness that energy for the good as well? I mean for making money, money is good and everything, but how can you harness that for doing something useful so that all of this entertainment time is also actually productive time as well. I think that'd be a holy grail in this, in this environment if we >>Can achieve that. Yeah. It used to be that corn used to be the telegraph of the future of about, of applications, but gaming really is, if you look at gaming, you know, you get the headset on. It's a collaborative environment. Oh yeah. You got unified communications. >>Yeah. And you see our teenager kids, how, how many hours they spend on these things. >>You got play as a play environments, very social collaborative. Yeah. You know, some say, you know, we we're saying, what I'm saying is that that's the, that's the future work environment with Skype evolving. We're our multiplayer game's called our job. Right? Yeah. You know, so I'm big on gaming. So all the gamers out there, a has challenged you. Yeah. Got a big data example. What else are we seeing? So let's talk about the, the software. So we, one of the things you were talking about that I really liked, you were going down the list. So on Mike's slide he had all the new features. So around the core, can you just go down the core and rattle off your version of what, what it means and what it is. So you start off with say H Base, we talked about that already. What are the other ones that are out there? >>So the projects that we have right there, >>The projects that are around those tools that are being built. Cause >>Yeah, so the foundational, the foundational one as we mentioned before, is sdfs for storage map use for processing. Yeah. And then the, the immediate layer above that is how to make MAP reduce easier for the masses. So how can, not everybody knows how to learn map, use Java, everybody knows sql, right? So, so one of the most successful projects right now that has the highest attach rate, meaning people usually when they install had do installed as well is Hive. So Hive takes sequel and so Jeff Harm Becker, my co-founder, when he was at Facebook, his team built the Hive system. Essentially Hive takes sql so you don't have to learn a new language, you already know sql. And then converts that into MAP use for you. That not only expands the developer base for how many people can use adu, but also makes it easier to integrate Hadoop through all DBC and JDBC integrated with BI tools like MicroStrategy and Tableau and Informatica, et cetera, et cetera. >>You mentioned R too. You mentioned R Program R >>As well. Yeah, R is one of our best partnerships. We're very, very happy with them. So that's, that's one of the very key projects is Hive assisted project to Hive ISS called Pig. A pig Latin is a language that ya invented that you have to learn the language. It's very easy, it's very easy to learn compared to map produce. But once you learn it, you can, you can specify very deep data pipelines, right? SQL is good for queries. It's not good for data pipelines because it becomes very convoluted. It becomes very hard for the, the human brain to understand it. So Pig is much more natural to the human. It's more like Pearl very similar to scripting kind of languages. So with Peggy can write very, very long data pipelines, again, very successful projects doing very, very well. Another key project is Edge Base, like you said. So Edge Base allows you to do low latencies. So you can do very, very quick lookups and also allows you to do transactions. So you can do updates in inserts and deletes. So one of the talks here that had World we try to recommend people watch when the videos come out is the Talk by Jonathan Gray from Facebook. And he talked about how they use Edge Base, >>Jonathan, something on here in the Cube later. Yeah. So >>Drill him on that. So they use Edge Base now for many, many things within Facebook. They have a big team now committed to building an improving edge base with us and with the community at large. And they're using it for doing their online messaging system. The live mail system in Facebook is powered by Edge Base right now. Again, Pro and eBay, The Casini project, they gave a keynote earlier today at the conference as well is using Edge Base as well. So Edge Base is definitely one of the projects that's growing very, very quickly right now within the Hudu system. Another key project that Jeff alluded to earlier when he was on here is Flum. So Flume is very instrumental because you have this nice system had, but Hadoop is useless unless you have data inside it. So how do you get the data inside do? >>So Flum essentially is this very nice framework for having these agents all over your infrastructure, inside your web servers, inside your application servers, inside your mobile devices, your network equipment that collects all of that data and then reliably and, and materializes it inside Hado. So Flum does that. Another good project is Uzi, so many of them, I dunno how, how long you want me to keep going here, But, but Uzi is great. Uzi is a workflow processing system. So Uzi allows you to define a series of jobs. Some of them in Pig, some of them in Hive, some of them in map use. You can define a series of them and then link them to each other and say, only start this job when these other jobs, two jobs finish because I'm waiting for the input from them before I can kick off and so on. >>So Uzi is a very nice framework that will will do that. We'll manage the whole graph of jobs for you and retry things when they fail, et cetera, et cetera. Another good project is where W H I R R and where allows you to very easily start ADU cluster on top of Amazon. Easy two on top of Rackspace, virtualized environ. It's more for kicking off, it's for kicking off Hadoop instances or edge based instances on any virtual infrastructure. Okay. VMware, vCloud. So that it supports all of the major vCloud, sorry, all of the me, all of the major virtualized infrastructure systems out there, Eucalyptus as well, and so on. So that's where W H I R R ARU is another key project. It's one, it's duck cutting's main kind of project right now. Don of that gut cutting came on stage with you guys has, So Aru ARO is a project about how do we encode with our files, the schema of these files, right? >>Because when you open up a text file and you don't know how to what the columns mean and how to pars it, it becomes very hard to work for it. So ARU allows you to do that much more easily. It's also useful for doing rrp. We call rtc remove procedure calls for having different services talk to each other. ARO is very useful for that as well. And the list keeps going on and on Maha. Yeah. Which we just, thanks for me for reminding me of my house. We just added Maha very recently actually. What is that >>Adam? I'm not >>Familiar with it. So Maha is a data mining library. So MAHA takes some of the most popular data mining algorithms for doing clustering and regression and statistical modeling and implements them using the map map with use model. >>They have, they have machine learning in it too or Yes, yes. So that's the machine learning. >>So, So yes. Stay vector to machines and so on. >>What Scoop? >>So Scoop, you know, all of them. Thanks for feeding me all the names. >>The ones I don't understand, >>But there's so many of them, right? I can't even remember all of them. So Scoop actually is a very interesting project, is short for SQL to Hadoop, hence the name Scoop, right? So SQ from SQL and Oops from Hadoop and also means Scoop as in scooping up stuff when you scoop up ice cream. Yeah. And the idea for Scoop is to make it easy to move data between relational systems like Oracle metadata and it is a vertical and so on and Hadoop. So you can very simply say, Scoop the name of the table inside the relation system, the name of the file inside Hadoop. And the, the table will be copied over to the file and Vice and Versa can say Scoop the name of the file in Hadoop, the name of the table over there, it'll move the table over there. So it's a connectivity tool between the relational world and the Hadoop world. >>Great, great tutorial. >>And all of these are Apache projects. They're all projects built. >>It's not part of your, your unique proprietary. >>Yes. But >>These are things that you've been contributing >>To, We're contributing to the whole ecosystem. Yes. >>And you understand very well. Yes. And >>And contribute to your knowledge of the marketplace >>And Absolutely. We collaborate with the, with the community on creating these projects. We employ committers and founders for many of these projects. Like Duck Cutting, the founder of He works in Cloudera, the founder for that UIE project. He works at Calera for zookeeper works at Calera. So we have a number of them on stuff >>Work. So we had Aroon from Horton Works. Yes. And and it was really good because I tell you, I walk away from that conversation and I gotta say for the folks out there, there really isn't a war going on in Apache. There isn't. And >>Apache, there isn't. I mean isn't but would be honest. Like, and in the developer community, we are friends, we're working together. We want to achieve the, there's >>No war. It's all Kumbaya. Everyone understands the rising tide floats, all boats are all playing nice in the same box. Yes. It's just a competitive landscape in Horton. Works >>In the business, >>Business business, competitive business, PR and >>Pr. We're trying to be friendly, as friendly as we can. >>Yeah, no, I mean they're, they're, they're hying it up. But he was like, he was cool. Like, Hey, you know, we know each other. Yes. We all know each other and we're just gonna offer free Yes. And charge with support. And so are they. And that's okay. And they got other things going on. Yes. But he brought up the question. He said they're, they're launching a management console. So I said, Tyler's got a significant lead. He kind of didn't really answer the question. So the question is, that's your core bread and butter, That's your yes >>And no. Yes and no. I mean if you look at, if you look at Cloudera Enterprise, and I mentioned this earlier and when we talked in the morning, it has two main things in it. Cloudera Enterprise has the management suite, but it also has the, the the the support and maintenance that we provide to our customers and all the experience that we have in our team part That subscription. Yes. For a description. And I, I wanna stress the point that the fact that I built a sports car doesn't mean that I'm good at running that sports car. The driver of the car usually is much better at driving the car than the guy who built the car, right? So yes, we have many people on staff that are helping build had, but we have many more people on stuff that helped run Hado at large scale, at at financial indu, financial industry, retail industry, telecom industry, media industry, health industry, et cetera, et cetera. So that's very, very important for our customer. All that experience that we bring in on how to run the system technically Yeah. Within these verticals. >>But their strategies clear. We're gonna create an open source project within Apache for a management consult. Yes. And we sell support too. Yes. So there'll be a free alternative to management. >>So we have to see, But I mean we look at the product, I mean our products, >>It's gotta come down to product differentiation. >>Our product has been in the market for two years, so they just started building their products. It's >>Alpha, It's just Alpha. The >>Product is Alpha in Alpha right now. Yeah. Okay. >>Well the Apache products, it is >>Apache, right? Yeah. The Apache project is out. So we'll see how it does it compare to ours. But I think ours is way, way ahead of anything else out there. Yeah. Essentially people to try that for themselves and >>See essentially, John, when I asked Arro why does the world need Hortonwork? You know, eventually the answer we got was, well it's free. It needs to be more open. Had needs to be more open. >>No, there's, >>It's going to be, That's not really the reason why Warton >>Works. >>No, they want, they want to go make money. >>Exactly. We wasn't >>Gonna say them you >>When I kept pushing and pushing and that's ultimately the closest we can get cuz you >>Just listens. Not gonna >>12 open source projects. Yes. >>I >>Mean, yeah, yeah. You can't get much more open. Yeah. Look >>At management >>Consult, but Airs not shooting on all those. I mean, I mean not only we are No, no, not >>No, no, we absolutely >>Are. No, you are contributing. You're not. But that's not all your projects. There's other people >>Involved. Yeah, we didn't start, we didn't start all of these projects. Yeah, that's >>True. You contributing heavily to all of them. >>Yes, we >>Are. And that's clear. Todd Lipkin said that, you know, he contributed his first patch to HPAC in 2008. Yes. So I mean, you go back through the ranks >>Of your people and Todd now is a committer on Edge base is a committer on had itself. So on a number >>Of you clearly the lead and, and you know, and, but >>There is a concern. But we, we've heard it and I wanna just ask you No, no. So there's a concern that if I build processes around a proprietary management console, Yes. I'm gonna end up being locked into that proprietary management CNA all over again. Now this is so far from ca Yes. >>Right. >>But that's a concern that some people have expressed. And, and, and I think one of the reasons why Port Works is getting so much attention. So Yes. >>Talk about that. It's, it's a very good, it's a very good observation to make. Actually, >>There there is two separate things here. There's the platform where all the data sets and then there's this management parcel beside the platform. Now why did we make the management console why the cloud didn't make the management console? Because it makes our job for supporting the customers much more achievable. When a customer calls in and says, We have a problem, help us fix this problem. When they go to our management console, there is a button they click that gives us a dump of the state, of the cluster. And that's what allows us to very quickly debug what's going on. And within minutes tell them you need to do this and you to do that. Yeah. Without that we just can't offer the support services. There's >>Real value there. >>Yes. So, so now a year from, But, but, but you have to keep in mind that the, the underlying platform is completely open source and free CBH is completely a hundred percent open source, a hundred percent free, a hundred percent Apache. So a year from now, when it comes time to renew with us, if the customer is not happy with our management suite is not happy with our support data, they can, they can go to work >>And works. People are afraid >>Of all they can go to ibm. >>The data, you can take the data that >>You don't even need to take the data. You're not gonna move the data. It's the same system, the same software. Every, everything in CDH is Apache. Right? We're not putting anything in cdh, which is not Apache. So a year from now, if you're not happy with our service to you and the value that we're providing, you can switch. There is no lock in. There is no lock. And >>Your, your argument would be the switching costs to >>The only lock in is happiness. The only lock in is which >>Happiness inspection customer delay. Which by, by the way, we just wrote a piece about those wars and we said the risk of lockin is low. We made that statement. We've got some heat for it. Yes. And >>This is sort of at scale though. What the, what the people are saying, they're throwing the tomatoes is saying if this is, again, in theory at scale, the customers are so comfortable with that, the console that they don't switch. Now my argument was >>Yes, but that means they're happy with it. That means they're satisfied and happy >>With it. >>And it's more economical for them than going and hiding people full-time on stuff. Yeah. >>So you're, you're always on check as, as long as the customer doesn't feel like Oracle. >>Yeah. See that's different. Oracle is very, Oracle >>Is like different, right? Yeah. Here it's like Cisco routers, they get nested into the environment, provide value. That's just good competitive product strategy. Yes. If it they're happy. Yeah. It's >>Called open washing with >>Oracle, >>I mean our number one core attribute on the company, the number one value for us is customer satisfaction. Keeping our people Yeah. Our customers happy with the service that we provide. >>So differentiate in the product. Yes. Keep the commanding lead. That's the strategist. That's the, that's what's happening. That's your goal. Yes. >>That's what's happening. >>Absolutely. Okay. Co-founder of Cloudera, Always a pleasure to have you on the cube. We really appreciate all the hospitality over the beer and a half. And wanna personally thank you for letting us sit in your office and we'll miss you >>And we'll miss you too. We'll >>See you at the, the Cube events off Swing by, thanks for coming on the cube and great to see you and congratulations on all your success. >>Thank >>You. And thanks for the review on Modern Warfare three. Yeah, yeah. >>Love me again. If there any gaming stuff, you know, I.