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Said Syed & Paul Holland, HPE | KubeCon + CloudNativeCon EU 2018


 

>> Announcer: Live from Copenhagen, Denmark, it's theCUBE! Covering KubeCon + CloudNativeCon Europe 2018. Brought to you by the Cloud Native Computing Foundation, and it's ecosystem partners. >> Hello there and welcome back to theCUBE's exclusive coverage of KubeCon 2018, the Cloud Native Compute Foundation. CNCF, I'm John Furrier with theCUBE. My cohost Lauren Cooney is here with me this week. Our next two guests are from HPE Developer program. Paul Holland, Director of Open Source Program Office. And Said Syed, who is the Head of HP Developer Experience. CUBE alumni. Welcome back. Good to see you. >> Thanks for having us. >> Thanks for comin' on. >> Thank you. >> First of all, new logo. I love that, I want to get into it. HPE Developer program. We've had many conversations in the past about the relationship with Docker. The work you guys are doing inside the enterprises with cloud, multi-cloud and hybrid cloud. Why are you guys here? What's the story? What's the update from HPE? >> In December we launched this new program called the HP Community Developer Program. And that's really focused on reaching out to the developers that are out there. Whether these are DevOps developers, Cloud Native application developers, ITOps developers, who are looking to do integration with HPE infrastructure as well as our software defined platforms. It's basically evangelizing all of the good work that HP's doing in the open source program and other areas. Do you want to add something, Paul? >> Yeah, I think part of it is the recognition that HPE is a software company. After all of the separations, the divestiture with HPI and that micro-focus. We're left with really still a lot of developer power. It's the idea that as we work with developers internally and externally, we need to formalize that developer program. Both inside of open source and the general developer. Go through our API's and some of that coordination, to really make the developer work. >> I mean we're talking software defined. Everything now, you guys have been part of that. To give you guys some props, we've interviewed in the past four or five years, you guys were doing, talking micro services early on. >> Syed: That's right. >> Again the enterprise has software defined systems. >> You guys are a big part of that. So I got to ask you, the perfect storm is here. I mean Kubernetes, which is on the scene, is now, at least in my opinion, the defacto standard for interoperability around multi-cloud. This is the perfect storm for a company as big as HP with all the customers. So what is... I mean you guys must be sitting there going, perfect timing! What does it mean for you guys, Kubernetes? This is going to give you certainly a tail wind for deployments, and customer value creation. What's it mean internally for HPE? >> Well I think Kubernetes is at the heart, as you mentioned, of the open source ecosystem. It's about all of those Lego blocks now finally coming together with micro-services. And being able to put 'em together for an enterprise class workload. And given our history and expertise there I think you're right. It's a great opportunity to make sure that it works for the enterprise developer, for general developers. And how everything comes together within it, within a corporate world of development. >> Are you guys doubling down? >> Syed: Absolutely. >> What's the story internally? Is it got the charter from the top? >> That's right, yeah, we're definitely doubling down. As you mentioned, we started early on with micro services, with our partnership at Docker. We have a great relationship with Mesosphere. And we're full on with Kubernetes. You know we have a product that we're actually demoing here on the show floor, called HPE OneSphere. We launched the product in December of last year. And one of the things it actually does, it enables Kubernetes' cluster management on-prem and off-prem. For example in AWS. Deployment, management, all of those things. We are full on. We also have open source projects in the Kubernetes landscape. It's called Project Dory. That enables persistent storage. It's actually contributed by our Nimble big business unit. We're very focused on enabling our developers. Things that enable them is things like, how can I automatically deploy applications? And so on. Using Kubernetes cluster or Kubernetes environment. Working with Paul and others that's exactly what we're focused on. >> What are some of the user cases that you guys are seeing? As you mentioned some of those deployments. Is it really existing integration within HP Solutions? Like OneSphere? And OneSphere's obviously going to be a nice paint a glass and look at the platform of what the cloud offers. Is it Edge? Is it IoT? I mean what are some of the user cases? >> I think it's all of the above. I think what we're seeing is legacy enterprises having all of these legacy applications that they need to migrate this new world. At the same time they're struggling with, how do then I make hybrid? How do I then go to the Edge? And so across the board, I think that's the power of going back to your original question about HPE. Is we've seen all of that in the enterprise. And can we put those proprietary componentry into the products? Like a OneSphere on top of open source components. The reason we're here at Kubernetes, as an example, is to really highlight to developers that if you really want to bring things together. We can help you do that. Whether it be legacy applications, new application, greenfield applications. All within this again Lego block type environment, within Kubernetes and these other open source platforms. >> I mean you guys also again on the composable infrastructure kind of story. It's kind of here, right? >> That's right. Again we started down this journey three, four years ago with Docker. And several others. We built this unified ecosystem. A composable ecosystem. And in the ecosystem I think there's now like 40 some partners. But that's growing. If you look at it from a layered cake point of view. The infrastructure is here. That problem has been solved for a long time. You have infrastructure management. With one view, with our composable API's. Working with components like Docker, and Mesosphere, and Redfish, and other open source products and services, on top of that with OneSphere as the multi-cloud/hybrid cloud management platform, again using the power of our API's. And then integrating north bound with these hybrid multi-cloud management environments, as well as south bound with infrastructure management. Now you have the overall story. We're really exploiting the power of API's. And enabling our developers internally, as well as developers outside of HPE, To come together and start to think about this new idea. Is there a solution for that? Absolutely, there's an app for it. And then the way you build that app is build that API integration. >> You talked about an app store that you guys are working on. It has about 40 different partners in it. What about users of the solutions that are in there? Are you seeing an uptick in that? And what are you seeing in terms of that and what are they using? >> Yeah so I'll give you a quick example. We launched the developer community program in December. We launched the portal in December. And in the past two and a half months, we have seen a significant uptick and actually just people comin' in and hanging out on the portal. I think we are up to about 30,000 unique, unique views of our page. Most people are spending three to four minutes, which is a lot in today's terms. Someone who is going there, reading our content. And then on top of that actually consumer-ship of our projects. Grommet for example is one of our open source projects that HP funds. It's a UX front end. I think it has more than 10,000 people that are following it, and using it. Companies like Netflix, for example, use Grommet as a UX. Most of our SDCG is off our defined applications are now using Grommet. So OneSphere, One View. That's our de facto standard. But it's open source, anyone can use it. >> Are you finding, HP is traditionally been kind of a company that does a lot of things internally. Are you guys opening up for the first time? With allowing your developers to build things that will be put into open source? Can you talk a little bit about that? >> The power of HP is we've had a rich collaboration history for a long, long time. And I think you alluded to it before. From an enterprise perspective, how can we make that easy? Not only for our own internal developers. And maybe this is where this question comes from from an internal perspective. Even ten, 15 years ago with Martin Fink, at the helm of the open source group. And then ultimately as the CTO. And things have shifted through the separations. How do you leverage that power of openness, collaboration, that's in their DNA? And really empowering them to share. How do we take concepts like inner sourcing, which is the open sourcing of activities inside a company, And really start develop those habits and capabilities. Whether or not it's external is just a flip of the switch. But developers know how to contribute. They're also learning best of breed skills. And developing their own career over time. >> Cooney: That is great to hear. >> And enabling that for other enterprises as well. Which is really where a lot of our customers come to us and say, hey you're an enterprise with lots and lots of developers. How do I get that same power with mine? And you kind of walk them through the journey. >> It's interesting, I'd love to get your thoughts on this. I think you guys are doing... First of all I love the new logo. I think it's really important everyone knows you guys have a very active and open source community. And have been on this. This is not a new thing, revelation within HP. But Intel has the same challenge. They're tryna move away from that Intel Inside. You guys are known to a lot of people as a hardware company. You got HP.com is now the printer and the peripheral side. But it's a cloud game. You're still selling servers but people are still buying servers. The cloud providers need servers. They need it. But the software is the key, the software defined infrastructure is now that glue layer. Service meshes are hot. You're seeing SDO's got massive traction. Everything's pointing to this new level of services at scale. >> That's right. >> I want to get your thoughts on the HP story there. Can you take a minute to explain what you guys are doing with that vision? Because Cloud Native isn't just about the cloud. There's a lot of on-prem activity that's moving to a cloud operating model. So it's not a full public cloud. What's your story? >> If you look at the overall strategy. We make hybrid IT simple, recognizing that it's all those different flavors. We have to enable the software capabilities because the world is software enabled. You have all those componentries working together seamlessly and automated. And then we have the services groups to make it happen. With the Pointnext, and the acquisitions of cloud technology partners in the new areas. We have a wide variety of a portfolio of services that are now enabled. And experts to actually go help customers do it. And so we have the capability legacy. We also have the capability of the new generation of IT. And everywhere in between. And then you talk about the Edge. And so with our acquisition Aruba, which it seems like a long time ago. It's just a few years. They've been an integral part of taking that from a data center all the way to the edge and in between. I think we've got those multiple layers of hybrid IT. We have the software enabled activities, which definitely includes open source. Because you can't be software enabled without software and open source. And then from a service perspective, the wealth, depth of bench, in terms of... >> And OneSphere's the key product that, for you guys, that connects all this. Is that kind of where the momentum is? >> Holland: It's one of them. >> One of them, okay. >> And then if you look at some of the acquisitions we have made. CTP, for example, or Cloud Cruiser, for example. These are all helping us build our portfolio of rich services that enable customers to go from a pure on-prem, pure hardware focus company. To now a new age Cloud Native, or hybrid cloud sort of company, where, we have the experience. Now, we have the experience with all of these different acquisitions like CTP, to enable them to have a full hybrid cloud of micro plus macro services kind of migration capabilities. >> What are you guys offering developers? Not that I'm going to ask you for the pitch. Cause everyone, the developers are getting a lot of pitches, if you will. People say I got to own the developer. They don't want to be owned. They want to be collaborative. But they're closer to the front lines than ever, these developers. And they're really looking at business problems. It's not just, here's the specs go code it. They're on the front lines. Right at the point of engagement for the business logic, and the business models of a lot of these applications. What do you guys bring to the table for the developers? Is it marketplace? Is it distribution? Is it opportunity? What is the value proposition that you guys are talking to developers about, specifically? >> I think it's all three. We really start with internal, right? We are aligning our internal developers to really consume our own champagne. Drink your own champagne. So what does that mean? Can you use OneSphere to develop OneSphere? Absolutely. Our mentality is, our OneSphere developers, in fact a couple of our distinguished technologists are here. So more customer focused. Do your development on your own products, on your own products. Does that make sense? >> Yeah. >> So that's number one, right? If they go through the pains of developing on our own products. They will know exactly which areas to focus on. And so that's one thing we are really enabling our developers to do. Is really think outside in, versus inside out. Gone are the days of, we will build it and they will come. No they won't. You have to really give them what they are going to consume. So from a strategy perspective, we're really exposing our developers to the outside world. Hey go out there. Talk to them. Learn what they're looking for. Right, so that's number one. Number two. With the developer community program, and the developer portal, and the open source program. Now that we're collaborating across HPE, at the top end and the bottom end. We're not really able to think about how we use the power of our API's, from layer 1 infrastructure all the way up to layer 7. Or Layer 5 and above. And say, "Alright how do we enable these guys to build value add that really solves their problem?" Whether it's DevOps problems. CI/CD? Whether it deploying applications, managing, monitoring applications. It's all through the power of API. If you can automate it, orchestrate it and manage it. Then we have really solved your problems. This is why we're not only going after and enabling the developers by giving them what they need. We're also partnering with key partners in our ecosystem that actually brings the best of breed. And that's what the customers are used to using today. >> And you guys had it more up to stack. Certainly the application level is a key point. What about the channel opportunity? Cause I'm seeing, and I've been talking about this on theCUBE lately, is developers are the new sales channel, because in the old days VAR's, and ISV's and channel partners would bring solutions. And you guys had a great channel, have a great channel that brings solutions to customers. Now these customers are having programming and developing done from the partners. You guys have to create that. Are you guys looking at that as a significant opportunity, with this program? >> In today's world you have to think about things in a different way. With the advent of DevOps. With the developers no longer in their cubes, not touching production, they're releasing the production daily. Or multiple times per day. And so we're lookin', or have looked with that with, how do the developer work. And get that all the way to production. At the same time, what's the skill sets to work with in the open? Are you talking about the channel? The open source community is a great channel. Not only for ideas and conversations, but also to meet people. Not only are we there. >> Furrier: Your buyers are there. >> Yeah exactly. We're releasing the customers. But customers is part of our community. Vendors are part of our community. Partners are part of our community. And together we're building a community of developers that are doing work that ultimately goes to production multiple times per year. >> When you guys get this right, I think the gains will be huge. >> Well I'll give you an example. One of the largest web companies in the world. We're partnering with them. They're a huge customer of ours. Instead of selling to their frontline, we went and started talking to their developers. And their developer leaderships. To the point where we are working on doing hackathons. So our developers, their developers, in the same conference room, solving joint problems together. >> Cooney: So co-development. >> Co-developing, exactly. We call it a hackathon. But yeah, co-developing, absolutely. That's where we're focused. Because today developers and the line of businesses have more and more and more influence on key technology decisions. That's where the money is. >> Being genuine and authentic in these communities is certainly a great, successful formula. You guys, see that. We'll be following your progress. Thanks for coming on theCUBE and sharing the update. And congratulations on the new program. And the new logo. I'd love to get a shirt when you get a chance. >> Absolutely, yeah. >> Congratulations, great to see you. Thanks for comin' on. We are here at KubeCon 2018 in Europe. This is theCUBE, I'm John Furrier. Thanks for watching. We'll be back with more live coverage after this short break.

Published Date : May 2 2018

SUMMARY :

Brought to you by the Cloud Native Computing Foundation, the Cloud Native Compute Foundation. about the relationship with Docker. It's basically evangelizing all of the good work It's the idea that as we work with developers To give you guys some props, This is going to give you certainly a tail wind of the open source ecosystem. And one of the things it actually does, What are some of the user cases that you guys are seeing? And so across the board, on the composable infrastructure kind of story. And in the ecosystem I think there's now And what are you seeing And in the past two and a half months, Are you guys opening up for the first time? And I think you alluded to it before. And you kind of walk them through the journey. I think you guys are doing... what you guys are doing with that vision? We also have the capability of the new generation of IT. And OneSphere's the key product that, And then if you look at some of the acquisitions What is the value proposition that you guys are Can you use OneSphere to develop OneSphere? that actually brings the best of breed. And you guys had it more up to stack. And get that all the way to production. We're releasing the customers. When you guys get this right, One of the largest web companies in the world. We call it a hackathon. And congratulations on the new program. Congratulations, great to see you.

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Andrew Wheeler and Kirk Bresniker, HP Labs - HPE Discover 2017


 

>> Announcer: Live from Las Vegas, it's The Cube, covering HPE Discover, 2017 brought to you by Hewlett Packard Enterprise. >> Okay, welcome back everyone. We're here live in Las Vegas for our exclusive three day coverage from The Cube Silicon Angle media's flagship program. We go out to events, talk to the smartest people we can find CEOs, entrepreneurs, R&D lab managers and of course we're here at HPE Discover 2017 our next two guests, Andrew Wheeler, the Fellow, VP, Deputy Director, Hewlett Packard Labs and Kirk Bresniker, Fellow and VP, Chief Architect of HP Labs, was on yesterday. Welcome back, welcome to The Cube. Hewlett Packard Labs well known you guys doing great research, Meg Whitman really staying with a focused message and one of the comments she mentioned at our press analyst meeting yesterday was focusing on the lab. So I want ask you where is that range in the labs? In terms of what you guys, when does something go outside the lines if you will? >> Andrew: Yeah good question. So, if you think about Hewlett Packard Labs and really our charter role within the company we're really kind of tasked for looking at things that will disrupt our current business or looking for kind of those new opportunities. So for us we have something we call an innovation horizon and you know it's like any other portfolio that you have where you've got maybe things that are more kind of near term, maybe you know one to three years out, things that are easily kind of transferred or the timing is right. And then we have kind of another bucket that says well maybe it's more of a three to five year kind of in that advanced development category where it needs a little more incubation but you know it needs a little more time. And then you know we reserve probably you know a smaller pocket that's for more kind of pure research. Things that are further out, higher risk. It's a bigger bet but you know we do want to have kind of a complete portfolio of those, and you know over time throughout our history you know we've got really success stories in all of those. So it's always finding kind of that right blend. But you know there's clearly a focus around the advanced development piece now that we've had a lot of things come from that research point and really one of the... >> John: You're looking for breakthroughs. I mean that's what you're... Some-- >> Andrew: Clearly. >> Internal improvement, simplify IT all that good stuff, you guys still have your eyes on some breakthroughs. >> That's right. Breakthroughs, how do we differentiate what we're doing so but yeah clearly, clearly looking for those breakthrough opportunities. >> John: And one of the things that's come up really big in this show is the security and chip thing was pretty hot, very hot, and actually wiki bonds public, true public cloud report that they put out sizing up on prem the cloud mark. >> Dave: True private cloud. >> True private cloud I'm sorry. And that's not including hybrids of $265 billion tam but the notable thing that I want to get your thoughts on is the point they pushed was over 10 years $150 billion is going to shift out of IT on premise into other differentiated services. >> Andrew: Out of labor. >> Out of labor. So this, and I asked them what that means, as he said that means it's going to shift to vendor R&D meaning the suppliers have to do more work. So that the customers don't have to do the R&D. Which we see a lot in cloud where there's a lot of R&D going on. That's your job. So you guys are HP Labs, what's happening in that R&D area that's going to off load that labor so they can move to some other high yield tasks. >> Sure. Take first. >> John: Go ahead take a stab at it. >> When we've been looking at some of the concepts we had in the memory driven computing research and advanced development programs the machine program, you know one of the things that was the kick off for me back in 2003 we looked at what we had in the unix market, we had advanced virtualization technologies, we had great management of resources technologies, we had memory fabric technologies. But they're all kind of proprietary. But Silicon is thinking and back then we were saying how does risk unix compete with industry standards service? This new methodology, new wave, exciting changing cost structures. And for us it was that it was a chance to explore those ideas and understand how they would affect our maintaining the kind of rich set of customer experiences, mission criticality, security, all of these elements. And it's kind of funny that we're sort of just coming back to the future again and we're saying okay we have this move we want to see these things happen on the cloud and we're seeing those same technologies, the composable infrastructure we have in synergy and looking forward to see the research we've done on the machine advanced development program and how will that intersect hardware composability, converged infrastructure so that you can actually have that shift, those technologies coming in taking on more of that burden to allow you freedom of choice, so you can make sure that you end up with that right mix. The right part on a full public cloud, the right mix on a full private cloud, the right mixing on that intelligent edge. But still having the ability to have all of those great software development methodologies that agile methodology, the only thing the kids know how to do out of school is open source and agile now. So you want to make sure that you can embrace that and make sure regardless of where the right spot is for a particular application in your entire enterprise portfolio that you have this common set of experiences and tools. And some of the research and development we're doing will enable us to drive that into that existing, conventional, enterprise market as well as this intelligent edge. Making a continuum, a continuum from the core to the intelligent edge. And something that modern computer science graduates will find completely comfortable. >> One attracting them is going to be the key, I think the edge is kind of intoxicating if you think about all the possibilities that are out there in terms of what you know just from a business model disruption and also technology. I mean wearables are edge, brain implants in the future will be edge, you know the singularities here as Ray Kersewile would say... >> Yeah. >> I mean but, this is the truth. This is what's happened. This is real right now. >> Oh absolutely. You know we think of all that data and right now we're just scratching the surface. I remember it was 1994 the first time I fired up a web server inside of my development team. So I could begin thinning out design information on prototype products inside of HP, and it was a novelty. People would say "What is that thing "you just sent me an email, W W whatever?" And suddenly we went from, like almost overnight, from a novelty to a business necessity, to then it transformed the way that we created the applications for the... >> John: A lot of people don't know this but since you brought it up this historical trivia, HP Labs, Hewlett Packard Labs had scientists who actually invented the web with Tim Berners-Lee, I think HTML founder was an HP Labs scientist. Pretty notable trivia. A lot of people don't know that so congratulations. >> And so I look at just what you're saying there and we see this new edge thing is it's going to be similarly transformative. Now today it's a little gimmicky perhaps it's sort of scratching the surface. It's taking security and it can be problematic at times but that will transform, because there is so much possibility for economic transformation. Right now almost all that data on the edge is thrown away. If you, the first person who understands okay I'm going to get 1% more of that data and turn it into real time intelligence, real time action... That will unmake industries and it will remake new industries. >> John: Andrew this the applied research vision, you got to apply R&D to the problem... >> Andrew: Correct. >> That's what he's getting at but you got to also think differently. You got to bring in talent. The young guns. How are you guys bringing in the young guns? What's the, what's the honeypot? >> Well I think you know for us it's, the sell for us, obviously is just the tradition of Hewlett Packard to begin with right? You know we have recognition on that level even it's not just Hewlett Packard Labs as well it's you know just R&D in general right? Kind of it you know the DNA being an engineering company so... But it's you know I think it is creating kind of these opportunities and whether it's internship programs you know just the various things that we're doing whether it's enterprise related, high performance computing... I think this edge opportunity is a really interesting one as a bridge because if you think about all the things that we hear about in enterprise in terms of "Oh you know I need this deep analytics "capability," or you know even a lot of the in memories things that we're talking about, real time response, driving information, right? All of that needs to happen at the edge as well for various opportunities so it's got a lot of the young graduates excited. We host you know hundreds of interns every year and it's real exciting to see kind of the ideas they come in with and you know they're all excited to work in this space. >> Dave: So Kirk you have your machine button, three, of course you got the logo. And then the machine... >> I got the labs logo, I got the machine logo. >> So when I first entered you talked about in the early 1980s. When I first got in the business I remembered Gene Emdall. "The best IO is no IO." (laughter) >> Yeah that's right. >> We're here again with this sort of memory semantics, centric computing. So in terms of the three that Andrew laid out the three types of sort of projects you guys pursue... Where does the machine fit? IS it sort of in all three? Or maybe you could talk about that a little bit. >> Kirk: I think it is, so we see those technologies that over the last three years we have brought so much new and it was, the critical thing about this is I think it's also sort of the prototyping of the overall approach our leaning in approach here... >> Andrew: That's right. >> It wasn't just researchers. Right? Those 500 people who made that 160 terabyte monster machine possible weren't just from labs. It was engineering teams from across Hewlett Packard Enterprise. It was our supply chain team. It was our services team telling us how these things fit together for real. Now we've had incredible technology experiences, incredible technologist experiences, and what we're seeing is that we have intercepts on conventional platforms where there's the photonics, the persistent memories. Those will make our existing DCIG and SDCG products better almost immediately. But then we also have now these whole cloth applications and as we take all of our learnings, drive them into open source software, drive them into the genesys consortium and we'll see you know probably 18, 24 months from now some of those first optimized silicon designs pop out of that ecosystem then we'll be right there to assemble those again, into conventional systems as well as more expansive, exo-scale computing, intelligent edge with large persistent memories and application specific processing as that next generation of gateways, I think we can see these intercept points at every category Andrew talked about. >> Andrew: And another good point there that kind of magnifies the model we were talking about, if we were sitting here five years ago, we would talking about things like photonics and non-volatile memory as being those big R projects. Those higher risk, longer term things, that right? As those mature, we make more progress innovation happens, right? It gets pulled into that shorter time frame that becomes advanced development. >> Dave: And Meg has talked about that... >> Yeah. >> Wanting to get more productivity out of the labs. And she's also pointed out you guys have spent more on R&D in the last several years. But even as we talked about the other day you want to see a little more D and keep the R going. So my question is, when you get to that point, of being able to support DCIG... Where do you, is it a hand off? Are you guys intimately involved? When you're making decisions about okay so member stir for example, okay this is great, that's still in the R phase then you bring it in. But now you got to commercialize this and you got 3D nan coming out and okay let's use that, that fits into our framework. So how much do you guys get involved in that handoff? You know the commercialization of this stuff? >> We get very involved. So it's at the point where when we think have something that hey we think you know maybe this could get into a product or let's see if there's good intercept here. We work jointly at that point. It's lab engineers, it's the product managers out of the group, engineers out of the business group, they essentially work collectively then on getting it to that next step. So it's kind of just one big R&D effort at that point. >> Dave: And so specifically as it relates to the machine, where do you see in the next in the near term, let's call near term next three years, or five years even, what do you see that looking like? Is it this combination of memory width capacitors or flash extensions? What does that look like in terms of commercial terms that we can expect? >> Kirk: So I really think the palette is pretty broad here. That I can see these going into existing rack and tower products to allow them to have memory that's composable down to the individual module level. To be able to take that facility to have just the right resources applied at just the right time with that API that we have in one view. Extend down to composing the hardware itself. I think we look at those edge line systems and want to have just the right kind of analytic capability, large persistent memories at that edge so we can handle those zeta bytes and zeta bytes of data in full fidelity analyzed at the edge sending back that intelligence to the core but also taking action at the edge in a timeframe that matters. I also see it coming out and being the basis of our exoscale high performance computing. You know when you want to have a exoscale system that has all of the combined capacity of the top 500 systems today but 1/20th of their power that is going to take rather novel technologies and everything we've been working on is exactly what's feeding that research and soon to be advanced development and then soon to be production in supply chain. >> Dave: Great. >> John: So the question I have is obviously we saw some really awesome Gen 10 stuff here at this show you guys are seeing that obviously you're on stage talking about a lot of the cool R&D, but really the reality is that's multiple years in the works some of this root of trust silicon technology that's pretty, getting the show buzzed up everyone's psyched about it. Dreamworks Animation's talking about how inorganic opportunities is helping their business and they got the security with the root of trust NIST certified and compliant. Pretty impressive. What's next? What else are you working on because this is where the R&D is on your shoulders for that next level of innovation. Where, what do you guys see that? Because security is a huge deal. That's that great example of how you guys innovated. Cause that'll stop the vector of a tax in the service area of IOT if you can get the servers to lock down and you have firmware that's secure, makes a lot of sense. That's probably the tip of the iceberg. What else is happening with security? >> Kirk: So when we think about security and our efforts on advanced development research around the machine what you're seeing here with the proliance is making the machines more secure. The inherent platform more secure. But the other thing I would point to you is the application we're running on the prototype. Large scale graph inference. And this is security because you have a platform like the machine. Able to digest hundreds and hundreds of tera bytes worth of log data to look for that fingerprint, that subtle clue that you have a system that has been compromised. And these are not blatant let's just blast everything out to some dot dot x x x sub domain, this is an advanced persistent thread by a very capable adversary who is very subtle in their reach out from a system that has been compromised to that command and control server. The signs are there if you can look at the data holistically. If you can look at that DNS log, graph of billions of entries everyday, constantly changing, if you can look at that as a graph in totality in a timeframe that matters then that's an empowering thing for a cyber defense team and I think that's one of the interesting things that we're adding to this discussion. Not only protect, detect and recover, but giving offensive weapons to our cyber defense team so they can hunt, they can hunt for those events for system threats. >> John: One of the things, Andrew I'll get your thoughts and reaction to this because Ill make an observation and you guys can comment and tell me I'm all wet, fell off the deep end or what not. Last year HP had great marketing around the machine. I love that Star Trek ad. It was beautiful and it was just... A machine is very, a great marketing technique. I mean use the machine... So a lot of people set expectations on the machine You saw articles being written maybe these people didn't understand it. Little bit pulled back, almost dampered down a little bit in terms of the marketing of the machine, other than the bin. Is that because you don't yet know what it's going to look like? Or there's so many broader possibilities where you're trying to set expectations? Cause the machine certainly has a lot of range and it's almost as if I could read your minds you don't want to post the position too early on what it could do. And that's my observation. Why the pullback? I mean certainly as a marketer I'd be all over that. >> Andrew: Yeah, I think part of it has been intentional just on how the ecosystem, we need the ecosystem developed kind of around this at the same time. Meaning, there are a lot of kind of moving parts to it whether it's around the open source community and kind of getting their head wrapped around what is this new architecture look like. We've got things like you know the Jin Zee Consortium where we're pouring a lot of our understanding and knowledge into that. And so we need a lot of partners, we know we're in a day and an age where look there's no single one company that's going to do every piece and part themselves. So part of it is kind of enough to get out there, to get the buzz, get the excitement to get other people then on board and now we have been heads down especially this last six months of... >> John: Jamming hard on it. >> Getting it all together. You know you think about what we showed first essentially first booted the thing in November and now you know we've got it running at this scale, that's really been the focus. But we needed a lot of that early engagement, interaction to get a lot of the other, members of the ecosystem kind of on board and starting to contribute. And really that's where we're at today. >> John: It's almost you want it let it take its own course organically because you mentioned just on the cyber surveillance opportunity around the crunching, you kind of don't know yet what the killer app is right? >> And that's the great thing of where we're at today now that we have kind of the prototype running at scale like this, it is allowing us to move beyond, look we've had the simulators to work with, we've had kind of emulation vehicles now you've got the real thing to run actual workloads on. You know we had the announcement around DZ and E as kind of an early early example, but it really now will allow us to do some refinement that allows us to get to those product concepts. >> Dave: I want to just ask the closing question. So I've had this screen here, it's like the theater, and I've been seeing these great things coming up and one was "Moore's Law is dead." >> Oh that was my session this morning. >> Another one was block chain. And unfortunately I couldn't hear it but I could see the tease. So when you guys come to work in the morning what's kind of the driving set of assumptions for you? Is it just the technology is limitless and we're going to go figure it out or are there things that sort of frame your raison d'etre? That drive your activities and thinking? And what are the fundamental assumptions that you guys use to drive your actions? >> Kirk: So what's been driving me for the last couple years is this exponential growth of information that we create as a species. That seems to have no upper bounding function that tamps it down. At the same time, the timeframe we want to get from information, from raw information to insight that we can take action on seems to be shrinking from days, weeks, minutes... Now it's down to micro seconds. If I want to have an intelligent power grid, intelligent 3G communication, I have to have micro seconds. So if you look at those two things and at the same time we just have to be the lucky few who are sitting in these seats right when Moore's Law is slowing down and will eventually flatten out. And so all the skills that we've had over the last 28 years of my career you look at those technologies and you say "Those aren't the ones that are going "to take us forward." This is an opportunity for us to really look and examine every piece of this, because if was something we could of just can't we just dot dot dot do one thing? We would do it, right? We can't just do one thing. We have to be more holistic if we're going to create the next 20, 30, 40 years of innovation. And that's really what I'm looking at. How do we get back exponential scaling on supply to meet this unending exponential demand? >> Dave: So technically I would imagine, that's a very hard thing to balance because the former says that we're going to have more data than we've ever seen. The latter says we've got to act on it fast which is a great trend for memory but the economics are going to be such a challenge to meet, to balance that. >> Kirk: We have to be able to afford the energy, and we have to be able to afford the material cost, and we have to be able to afford the business processes that do all these things. So yeah, you need breakthroughs. And that's really what we've been doing. And I think that's why we're so fortunate at Hewlett Packard Enterprise to have the labs team but also that world class engineering and that world class supply chain and a services team that can get us introduced to every interesting customer around the world who has those challenging problems and can give us that partnership and that insight to get those kind of breakthroughs. >> Dave: And I wonder if there will be a tipping point, if the tipping point will be, and I'm sure you've thought about this, a change in the application development model that drives so much value and so much productivity that it offsets some of the potential cost issues of changing the development paradigm. >> And I think you're seeing hints of that. Now we saw this when we went from systems of record, OLTP systems, to systems of engagement, mobile systems, and suddenly new ways to develop it. I think now the interesting thing is we move over to systems of action and we're moving from programmatic to training. And this is this interesting thing if you have those data bytes of data you can't have a pair of human eyeballs in front of that, you have to have a machine learning algorithm. That's the only thing that's voracious enough to consume this data in a timely enough fashion to get us answers, but you can't program it. We saw those old approaches in old school A.I., old school autonomous vehicle programs, they go about 10 feet, boom, and they'd flip over, right? Now you know they're on our streets and they are functioning. They're a little bit raw right now but that improvement cycle is fantastic because they're training, they're not programming. >> Great opportunity to your point about Moore's Law but also all this new functionality that has yet been defined, is right on the doorstep. Andrew, Kirk thank you so much for sharing. >> Andrew: Thank you >> Great insight, love Hewlett Packard Labs love the R&D conversation. Gets us a chance to go play in the wild and dream about the future you guys are out creating it congratulations and thanks for spending the time on The Cube, appreciate it. >> Thanks. >> The Cube coverage will continue here live at Las Vegas for HPE Discover 2017, Hewlett Packard Enterprises annual event. We'll be right back with more, stay with us. (bright music)

Published Date : Jun 8 2017

SUMMARY :

brought to you by Hewlett Packard Enterprise. go outside the lines if you will? kind of near term, maybe you know one to three I mean that's what you're... all that good stuff, you guys still have Breakthroughs, how do we differentiate is the security and chip thing was pretty hot, of $265 billion tam but the notable So that the customers don't have to taking on more of that burden to allow you in terms of what you know just from I mean but, this is the truth. that we created the applications for the... A lot of people don't know that Right now almost all that data on the edge vision, you got to apply R&D to the problem... How are you guys bringing in the young guns? All of that needs to happen at the edge as well Dave: So Kirk you have your machine button, So when I first entered you talked about So in terms of the three that Andrew laid out technologies that over the last three years of gateways, I think we can see these intercept that kind of magnifies the model we were So how much do you guys get involved hey we think you know maybe this system that has all of the combined capacity the servers to lock down and you have firmware But the other thing I would point to you John: One of the things, the ecosystem, we need the ecosystem kind of on board and starting to contribute. And that's the great thing of where we're the theater, and I've been seeing these that you guys use to drive your actions? and at the same time we just have to be but the economics are going to be such a challenge the energy, and we have to be able to afford that it offsets some of the potential cost issues to get us answers, but you can't program it. is right on the doorstep. and thanks for spending the time on We'll be right back with more, stay with us.

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