>>and welcome to this cube conversation. I'm john for a host of the queue here in Palo alto California. We've got two great remote guests to talk about, some big news hitting with scalability and Hewlett Packard enterprise drill, MCAT ceo of sexuality and chris Tinker, distinguished technologist from H P E. Hewlett Packard enterprise U room chris, Great to see you both. Cube alumni's from an original gangster days. As we say Back then when we started almost 11 years ago. Great to see you both. >>It's great to be back. >>So let's see. So >>really compelling news around kind of this next generation storage, cloud native solution. Okay. It's a, it's really kind of an impact on the next gen. I call, next gen devops meets application, modern application world and some, we've been covering heavily, there's some big news here around sexuality and HP offering a pretty amazing product. You guys introduced essentially the next gen piece of it are pesca, we'll get into in a second. But this is a game changing announcement you guys announces an evolution continuing I think it's more of a revolution but I think you know storage is kind of abstraction layer of evolution to this app centric world. So talk about this environment we're in and we'll get to the announcement which is object store for modern workloads but this whole shift is happening jerome, this is a game changer to storage, customers are gonna be deploying workloads. >>Yeah skeleton. Really I mean I personally really started working on Skele T more than 10 years ago 15 now And if we think about it I mean cloud has really revolutionized IT. and within the cloud we really see layers and layers of technology. I mean we all started around 2006 with Amazon and Google and finding ways to do initially we was consumer it at very large scale, very low incredible reliability and then slowly it creeped into the enterprise and at the very beginning I would say that everyone was kind of wizards trying things and and really coupling technologies together uh and to some degree we were some of the first wizard doing this But we're now close to 15 years later and there's a lot of knowledge and a lot of experience, a lot of schools and this is really a new generation, I'll call it cloud native, you can call it next year and whatever, but there is now enough experience in the world, both at the development level and at the infrastructure level to deliver truly distributed automate systems that run on industry standard service. Obviously good quality server deliver a better service than the service. But there is now enough knowledge for this to truly go at scale and call this cloud or call this cloud native. Really the core concept here is to deliver scalable I. T at very low cost, very high level of reliability. All based on software. We've we've been participated in this solution but we feel that now the draft of what's coming is at the new level and it was time for us to think, develop and launch a new product that specifically adapted to that. And chris I will let you comment on this because customers or some of them you can add a custom of you to that. >>Well, you know, you're right. You know, I've been in there have been like you have been in this industry for uh, well a long time, a little longer to 20, years. This HPV and engineering and look at the actual landscape has changed with how we're doing scale out, suffered to find storage for particular workloads and were a catalyst has evolved. Here is an analytic normally what was only done in the three letter acronyms and massively scale out politics name, space, file systems, parallel file systems. The application space has encroached into the enterprise world where the enterprise world needed a way to actually take a look at how to help simplify the operations. How do I actually be able to bring about an application that can run in the public cloud or on premise or hybrid. Be able to actually look at a workload off my stat that aligns the actual cost to the actual analytics that I'm going to be doing the work load that I'm going to be doing and be able to bridge those gaps and be able to spin this up and simplify operations. And you know, and if you if you are familiar with these parallel fossils, which by the way we we actually have on our truck. I do engineer those. But they are they are they are they have their own unique challenges. But in the world of enterprise where customers are looking to simplify operations, then take advantage of new application, analytic workloads, whether it be sparred may so whatever it might be right. If I want to spend the Mongol BB or maybe maybe a last a search capability, how do I actually take those technologies embrace a modern scale out storage stack that without without breaking the bank but also provide a simple operations. And that's that's why we look for object storage capabilities because it brings us this massive parallelization. Thank you. >>Well, before we get into the product, I want to just touch on one thing from you mentioned and chris you, you brought up the devoPS piece, next gen, next level, whatever term you use it is cloud Native. Cloud Native has proven that deVOPS infrastructure as code is not only legit being operationalized in all enterprises, add security in there. You have def sec ops this is the reality and hybrid cloud in particular has been pretty much the consensus. Is that standard. So or de facto saying whatever you want to call it, that's happening. Multi cloud on the horizon. So these new workloads have these new architectural changes, cloud on premises and edge, this is the number one story and the number one challenge, all enterprises are now working on how do I build the architecture for the cloud on premises and edge. This is forcing the deVOPS team to flex and build new apps. Can you guys talk about that particular trend and is and is that relevant here? >>Yeah, I, I not talk about uh really storage anywhere and cloud anywhere. And and really the key concept is edged to go to cloud. I mean we all understand now that the Edge will host a lot of data and the edges many different things. I mean it's obviously a smartphone, whatever that is, but it's also factories, it's also production, it's also, you know, moving uh moving machinery, trains, playing satellites, um that that's all the Edge cars obviously uh and a lot of that, I will be both produced and processed there. But from the Edge you will want to be able to send that uh for analysis for backup for logging to a court. And that core could be regional maybe not, you know, one call for the whole planet, but maybe one corporate region uh state in the US. Uh and then from there, you will also want to push some of the data to probably cloud. Uh One of the things that we see more and more is that the the our data center, the disaster recovery is not another physical data center, it's actually the cloud and that's a very efficient infrastructure, very cost efficient. Especially so really it's changing the padding on how you think about storage because you really need to integrate these three layers in a consistent approach, especially around the topic of security because you want the data to be secure all along the way and the data is not just data data and who can access the data, can modify the data. What are the conditions that allow modification or automatically ratios that are in some cases it's super important that data be automatically raised 10 years and all this needs to be transported fromage Co two cloud. So that that's one of the aspects, another aspect that resonates for me with what you said is a word you didn't say but it's actually crucial this whole revolution. It's kubernetes mean Cuban it isn't now a mature technology and it's just, you know, the next level of automaticity operation for distributed system Which we didn't have five or 10 years ago and that is so powerful that it's going to allow application developers to develop much faster system that can be distributed again edge to go to crowd because it's going to be an underlying technology that spans the three layers >>chris your thoughts. Hybrid cloud, I've been, I've been having conscious with the HP folks for got years and years on hybrid clouds now here. >>Well, you know, and it's exciting in a layout, right? So if you look at like a whether it be enterprise virtualization that is a scale out gender purpose fertilization workload. Whether the analytic workloads, whether we know data protection is a paramount to all of this orchestration is paramount. Uh if you look at that depth laptops absolutely you mean securing the actual data. The digital last set is absolutely paramount. And if you look at how we do this, look at the investments we're making we're making. And if you look at the collaborative platform development which goes to our partnership with reality it is we're providing them an integral aspect of everything we do. Whether we're bringing as moral which is our suffer be used orchestration. Look at the veneer of its control plane controlling kubernetes being able to actually control the african area clusters in the actual backing store for all the analytics. And we just talked about whether it be a web scale out That is traditionally using politics. Name space has now been modernized to take advantage of newer technologies running an envy me burst buffers or 100 gig networks with slingshot network at 200 and 400 gigabit. Looking at how do we actually get the actual analytics the workload to the CPU and have it attached to the data at rest? Where is the data? How do we land the data and how do we actually align essentially locality, locality of the actual asset to the compute. This is where, you know, we can leverage whether it be a juror or google or name your favorite hyper scaler, leverage those technologies leveraging the actual persistent store and this is where scale it is with this object store capability has been an industry trend setter, uh setting the actual landscape of how to provide an object store on premise and hybrid cloud running into public cloud but be able to facilitate data mobility and tie it back to and tie it back to an application. And this is where a lot of things have changed in the world of the, of analytics because the applications, the newer technologies that are coming on the market have taken advantage of this particular protocol as three so they can do web scale massively parallel concurrent workloads, >>you know what, let's get into the announcement, I love cool and relevant products and I think this hits the Mark Scaletta you guys have are Tesco which is um, just announced and I think, you know, we obviously we reported on it. You guys have a lightweight, true enterprise grade object store software for kubernetes. This is the announcement, Jerome. Tell us about it. >>What's the big >>deal? Cool and >>relevant? Come on, >>this is cool. All right, tell us >>I'm super excited. I'm not sure that it did. That's where on screen, but I'm super, super excited. You know, we, we introduced the ring 11 years ago and this is our biggest announcements for the past 11 years. So yes, do pay attention. Uh, you know, after after looking at all these trends and understanding where we see the future going, uh, we decided that it was time to embark block. So there's not one line of code that's the same as the previous generation product. They will both could exist. They both have space in the market, uh, and artist that was specifically this design for this cloud native era. And what we see is that people want something that's lightweight, especially because it had to go to the edge. They still want the enterprise grade, the security is known for and it has to be modern. What we really mean by modern is uh, we see object storage now being the primary storage for many application more and more applications and so we have to be able to deliver the performance that primary storage expects. Um this idea of skeletons serving primary storage is actually not completely new When we launched guilty 10 years ago, the first application that we were supporting West consumer email for which we were and we are still today the primary story. So we have we know what it is to be the primary store, we know what's the level of reliability you need to hit. We know what, what latest thinking and latency is different from fruit, but you really need to optimize both. Um, and I think that's still today. We're the only object storage company that protects that after both replication and the red recording because we understand that replication is factor the recording is better and more larger file were fast in terms of latency doesn't matter so much. So we, we've been bringing all that experience but really rethinking a product for that new generation that really is here now. And so we're truly excited against a little bit more about the product. It's a software was guilty is a software company and that's why we love to partner with HP who's producing amazing service. Um, you know, for the record and history, the very first deployment of skeleton in 2000 and 10 was on the HP service. So this is a, a long love story here. Um, and so to come back to artistic, uh, is lightweight in the sense that it's easy to use. We can start small, we can start from just one server or 11 VM instance. I mean start really small. Can grow infinitely. The fact that we start small, we didn't, you know, limit the technology because of that. Uh, so you can start from one too many. Um, and uh, it's contaminated in the sense that it's completely Cuban, it is compatible. It's communities orchestrated. It will deploy on many Cuban distributions. We're talking obviously with Admiral, we're also talking with Ponzu and with the other in terms of uh, communities distribution will also be able to be run in the cloud. I'm not sure that there will be many uh, true production deployment of artists in the club because you already have really good object storage by the cloud providers. But when you are developing something and you want to test their, um, you know, just doing it in the cloud is very practical. So you'll be able to deploy our discount communities cloud distribution and it's modern object storage in the sense that its application century. A lot of our work is actually validating that our storage is fit for a single purpose application and making sure that we understand the requirement of this application that we can guide our customers on how to deploy. And it's really designed to be the primary storage for these new workloads. >>The big part of the news is your relationship with Hewlett Packard Enterprises? Some exclusivity here as part of this announced, you mentioned, the relationship goes back many, many years. We've covered your relationship in the past chris also, you know, we cover HP like a blanket. Um, this is big news for h P E as >>well. >>What is the relationship talk about this? Exclusivity could you share about the partnership and the exclusivity piece? >>Well, the partnership expands into the pan HPV portfolio. We look we made a massive investment in edge IOT devices. Uh, so we actually have, how do we align the cost to the demand for our customers come to us wanting to looking at? Uh think about what we're doing with green, like a consumption based modeling, they want to be able to be able to consume the asset without having to do a capital outlay out of the gate uh, number to look at, you know, how do you deploy? Technology really demand? It depends on the scale. Right? So in a lot of your web skill, you know, scale out technologies, uh, putting them on a diet is challenging, meaning how skinny can you get it getting it down into the 50 terabyte range and then the complexities of those technologies at as you take a day one implementation and scale it out over, you know, you know, multiple iterations of recorders. The growth becomes a challenge. So, working with scalability, we we believe we've actually cracked this nut. We figured out how to a number one, how to start small but not limited customers ability to scale it out incrementally or grotesquely grotesque. A you can depending on the quarters the month, whatever whatever the workload is, how do you actually align and be able to consume it? Uh So now, whether it be on our edge line products are D. L. Products go back there. Now what the journalist talking about earlier, you know, we ship a server every few seconds. That won't be a problem. But then of course into our density optimized compute with the Apollo product. Uh This where uh our two companies have worked in an exclusivity where the, the scaly software bonds on the HP ecosystem. Uh and then we can of course provide you our customers the ability to consume that through our Green link financial models or through a complex parts of >>awesome. So jerome and chris who's the customer here? Obviously there's an exclusive period talk about the target customer. And how do customers get the product? How do we get the software? And how does this exclusivity with HP fit into it? >>Yeah. So there's really three types of customers and we really, we've worked a lot with a company called use design to optimize the user interface for each of the three types of customers. So we really thought about each uh customer role and providing with each of them the best product. Uh So the first type of customer application owners who are deploying application that requires an object storage in the back end. They typically want a simple objects to of one application. They wanted to be temple and work. I mean yesterday they want no freedom to just want an object store that works and they want to be able to start as small as they start with their application. Often it's, you know, the first department, maybe a small deployment. Um, you know, applications like backup like female rubric or uh, analytics like Stone Carver, tikka or false system now available as a software. Uh, you know, like Ceta does a really great department or nass that works very well. That means an object store in the back end of high performance computing. Wake up file system is an amazing file system. Um, we also have vertical application like broad peak, for example, who provides origin and view the software, the broadcasters. So all these applications, they request an object store in the back end and you just need a simple, high performance, working well object store and I'll discuss perfect. The second type of people that we think will be interested by artists. Uh essentially developers who are currently developing some communities of collaborative application your next year. Um and as part of their development stack, um it's getting better and better when you're developing a cloud native application to really target an object storage rather than NFS as you're persistently just, you know, think about generations of technologies and um, NFS and file system were great 25 years ago. I mean, it's an amazing technology. But now when you want to develop a distributed scalable application, objects toys a better fit because it's the same generation and so same thing. I mean, you know, developing something, they need uh an object so that they can develop on so they wanted very lightweight, but they also want the product that they're enterprise or their customers will be able to rely on for years and years on and this guy is really great for today. Um, the third type of customer are more architecture with security architects that are designing, uh, System where they're going to have 50 factories, 1000 planes, a million cars are going to have some local storage, which will they want to replicate to the core and possibly also to the club. And uh, as the design is really new generation workloads that are incredibly distributed. But with local storage, uh, these guys are really grateful for that >>and talk about the HP exclusive chris what's the, how does that fit into? They buy through sexuality. Can they get it for the HP? Are you guys working together on how customers can procure >>place? Yeah. Both ways they can procure it through security. They can secure it through HP. Uh, and it is the software stack running on our density, optimized compute platforms which you would choose online does. And to provide an enterprise quality because if it comes back to it in all of these use cases it's how do we align up into a true enterprise step? Um bringing about multi Tennessee, bringing about the fact that, you know, if you look at like a local racial coding, uh one of the things that they're bringing to it so that we can get down into the deal 3 25. So with the exclusivity, uh you actually get choice and that choice comes into our entire portfolio, whether it be the edge line platform, the D. L 3:25 a.m. B. Processing stack or the intel deal three eighties or whether whether it be the Apollo's or Alexa, there's there's so many ample choices there that facilitates this and it just allows us to align those two strategies >>awesome. And I think the kubernetes pieces really relevant because, you know, I've been interviewing folks practitioners um and kubernetes is very much maturing fast. It's definitely the centerpiece of the cloud native, both below the line, if you will under the hood for the, for the infrastructure and then for apps, um they want to program on top of it. That's critical. I mean, jeremy, this is like this is the future. >>Yeah. And if you don't mind, like to come back for a minute on the exclusive with HP. So we did a six month exclusive and the very reason we could do this is because HP has suffered such wrath of server portfolio and so we can go from, you know, really simple, very cheap, you know, HDD on the L 3 80 means a machine that retails for a few $4. I mean it's really like Temple System 50 terabyte. Uh we can have the dl 3 25. That uh piece mentioned there is really a powerhouse. All envy any uh slash uh all the storage is envy any uh very fast processors or uh you know, dance large large system like the Apollo 4500. So it's a very large breath of portfolio. We support the whole portfolio and we work together on this. So I want to say that you know, one of the reasons I want to send kudos to HP for for the breath of the silver lining rio as mentioned, um Jessica can be ordered from either company, hand in hand together. So anyway you'll see both of us uh and our field is working incredibly well together. >>We'll just on that point, I think just for clarification, uh was this co design by scalability and H P E. Because chris you mentioned, you know, the configuration of your systems. Can you guys quickly talk about the design, co design >>from from from the code base? The software entirely designed and developed by security from a testing and performance. So this really was a joint work with HP providing both hardware and manpower so that we could accelerate the testing phase. >>You know, chris H P E has just been doing such a great job of really focused on this. And you know, I've been Governor for years before it was fashionable the idea of apps working no matter where it lives. Public Cloud data center Edge, you mentioned. Edge line has been around for a while. You know, apps centric, developer friendly cloud first has been an H P E. Kind of guiding first principle for many, many years. >>But it has and you know, you know as our our ceo internal areas cited by 2022 everything will be able to be consumed as a service in our portfolio. Uh And then this stack allows us the simplicity and the consume ability of the technology and degranulation of it allows us to simplify the installation, simplify the actual deployment bringing into a cloud ecosystem. But more importantly for the end customer, they simply get an enterprise quality product running on identity optimized stack that they can consume through a orchestrated simplistic interface. That's that's cos that's what they're warning for today is where they come to me and asked hey how do I need a, I've got this new app new project and you know it goes back to who's actually coming, it's no longer the I. T. People who are actually coming to us, it's the lines of business. It's it's that entire dimension of business owners coming to us going this is my challenge and how can you HP help us And we rely on our breath of technology but also a breath of partners to come together and are of course reality is hand in hand and are collaborative business unit are collaborative storage product engineering group that actually brought this market. So we're very excited about this solution >>chris thanks for that input. Great insight, Jerome, congratulations on a great partnership with H. P. E. Obviously um great joint customer base congratulations on the product release here. Big moving the ball down the field as they say new functionality, clouds cloud native object store, phenomenal um So wrap wrap wrap up the interview. Tell us your vision for scalability in the future of storage. >>Yeah. Yeah I start I mean skeleton is going to be an amazing leader is already um but yeah so you know I have three themes that I think will govern how storage is going and obviously um Mark Andrews had said it software is everywhere and software is eating the world so definitely that's going to be true in the data center in storage in particular. Uh But the free trends that are more specific. First of all I think that security performance and agility is now basic expectation. It's not you know, it's not like an additional feature. It's just the best table, stakes, security performance and a job. Um The second thing is and we've talked about it during this conversation is edged to go you need to think your platform with Edge Co and cloud. You know you don't want to have separate systems separate design interface point for edge and then think about corn and think about clouds and then think about the divers. All this needs to be integrated in the design. And the third thing that I see as a major trend for the next 10 years is that a sovereignty uh more and more. You need to think about where is the data residing? What are the legal challenges? What is the level of protection against who are you protected? What what is your independence uh strategy? How do you keep as a company being independent from the people? You need to be independent. And I mean I say companies, but this is also true for public services. So these these for me are the three big trends. I do believe that uh software find distributed architecture are necessary for these tracks. But you also need to think about being truly enterprise grade. And there has been one of our focus with the design of a fresca. How do we combine a lot with product With all of the security requirements and that our sovereignty requirements that we expect to have in the next 10 years? >>That's awesome. Congratulations on the news scale. D Artois ca the big release with HP exclusive um, for six months, chris tucker, distinguished engineer at H P E. Great to ceo, jeremy, katz, ceo sexuality. Great to see you as well. Congratulations on the big news. I'm john for the cube. Thanks for watching. >>Mhm. >>Yeah.

>>Yeah, it's the queue covering the virtual vertical Big Data Conference 2020 Brought to You by vertical. >>Welcome back, everybody. My name is Dave Vellante, and you're watching the Cube's coverage of the verdict of Virtual Big Data conference. The Cube has been at every BTC, and it's our pleasure in these difficult times to be covering BBC as a virtual event. This digital program really excited to have Joy King joining us. Joy is the vice president of product and go to market strategy in particular. And if that weren't enough, he also runs marketing and education curve for him. So, Joe, you're a multi tool players. You've got the technical side and the marketing gene, So welcome to the Cube. You're always a great guest. Love to have you on. >>Thank you so much, David. The pleasure, it really is. >>So I want to get in. You know, we'll have some time. We've been talking about the conference and the virtual event, but I really want to dig in to the product stuff. It's a big day for you guys. You announced 10.0. But before we get into the announcements, step back a little bit you know, you guys are riding the waves. I've said to ah, number of our guests that that brick has always been good. It riding the wave not only the initial MPP, but you you embraced, embraced HD fs. You embrace data science and analytics and in the cloud. So one of the trends that you see the big waves that you're writing >>Well, you're absolutely right, Dave. I mean, what what I think is most interesting and important is because verdict is, at its core a true engineering culture founded by, well, a pretty famous guy, right, Dr Stone Breaker, who embedded that very technical vertical engineering culture. It means that we don't pretend to know everything that's coming, but we are committed to embracing the tech. An ology trends, the innovations, things like that. We don't pretend to know it all. We just do it all. So right now, I think I see three big imminent trends that we are addressing. And matters had we have been for a while, but that are particularly relevant right now. The first is a combination of, I guess, a disappointment in what Hadoop was able to deliver. I always feel a little guilty because she's a very reasonably capable elephant. She was designed to be HD fs highly distributed file store, but she cant be an entire zoo, so there's a lot of disappointment in the market, but a lot of data. In HD FM, you combine that with some of the well, not some the explosion of cloud object storage. You're talking about even more data, but even more data silos. So data growth and and data silos is Trend one. Then what I would say Trend, too, is the cloud Reality Cloud brings so many events. There are so many opportunities that public cloud computing delivers. But I think we've learned enough now to know that there's also some reality. The cloud providers themselves. Dave. Don't talk about it well, because not, is it more agile? Can you do things without having to manage your own data center? Of course you can. That the reality is it's a little more pricey than we expected. There are some security and privacy concerns. There's some workloads that can go to the cloud, so hybrid and also multi cloud deployments are the next trend that are mandatory. And then maybe the one that is the most exciting in terms of changing the world we could use. A little change right now is operationalize in machine learning. There's so much potential in the technology, but it's somehow has been stuck for the most part in science projects and data science lab, and the time is now to operationalize it. Those are the three big trends that vertical is focusing on right now. >>That's great. I wonder if I could ask you a couple questions about that. I mean, I like you have a soft spot in my heart for the and the thing about the Hadoop that that was, I think, profound was it got people thinking about, you know, bringing compute to the data and leaving data in place, and it really got people thinking about data driven cultures. It didn't solve all the problems, but it collected a lot of data that we can now take your third trend and apply machine intelligence on top of that data. And then the cloud is really the ability to scale, and it gives you that agility and that it's not really that cloud experience. It's not not just the cloud itself, it's bringing the cloud experience to wherever the data lives. And I think that's what I'm hearing from you. Those are the three big super powers of innovation today. >>That's exactly right. So, you know, I have to say I think we all know that Data Analytics machine learning none of that delivers real value unless the volume of data is there to be able to truly predict and influence the future. So the last 7 to 10 years has been correctly about collecting the data, getting the data into a common location, and H DFS was well designed for that. But we live in a capitalist world, and some companies stepped in and tried to make HD Fs and the broader Hadoop ecosystem be the single solution to big data. It's not true. So now that the key is, how do we take advantage of all of that data? And now that's exactly what verdict is focusing on. So as you know, we began our journey with vertical back in the day in 2007 with our first release, and we saw the growth of the dupe. So we announced many years ago verdict a sequel on that. The idea to be able to deploy vertical on Hadoop nodes and query the data in Hadoop. We wanted to help. Now with Verdict A 10. We are also introducing vertical in eon mode, and we can talk more about that. But Verdict and Ian Mode for HDs, This is a way to apply it and see sequel database management platform to H DFS infrastructure and data in each DFS file storage. And that is a great way to leverage the investment that so many companies have made in HD Fs. And I think it's fair to the elephant to treat >>her well. Okay, let's get into the hard news and auto. Um, she's got, but you got a mature stack, but one of the highlights of append auto. And then we can drill into some of the technologies >>Absolutely so in well in 2018 vertical announced vertical in Deon mode is the separation of compute from storage. Now this is a great example of vertical embracing innovation. Vertical was designed for on premises, data centers and bare metal servers, tightly coupled storage de l three eighties from Hewlett Packard Enterprises, Dell, etcetera. But we saw that cloud computing was changing fundamentally data center architectures, and it made sense to separate compute from storage. So you add compute when you need compute. You add storage when you need storage. That's exactly what the cloud's introduced, but it was only available on the club. So first thing we did was architect vertical and EON mode, which is not a new product. Eight. This is really important. It's a deployment option. And in 2018 our customers had the opportunity to deploy their vertical licenses in EON mode on AWS in September of 2019. We then broke an important record. We brought cloud architecture down to earth and we announced vertical in eon mode so vertical with communal or shared storage, leveraging pure storage flash blade that gave us all the advantages of separating compute from storage. All of the workload, isolation, the scale up scale down the ability to manage clusters. And we did that with on Premise Data Center. And now, with vertical 10 we are announcing verdict in eon mode on HD fs and vertically on mode on Google Cloud. So what we've got here, in summary, is vertical Andy on mode, multi cloud and multiple on premise data that storage, and that gives us the opportunity to help our customers both with the hybrid and multi cloud strategies they have and unifying their data silos. But America 10 goes farther. >>Well, let me stop you there, because I just wanna I want to mention So we talked to Joe Gonzalez and past Mutual, who essentially, he was brought in. And one of this task was the lead into eon mode. Why? Because I'm asking. You still had three separate data silos and they wanted to bring those together. They're investing heavily in technology. Joe is an expert, though that really put data at their core and beyond Mode was a key part of that because they're using S three and s o. So that was Ah, very important step for those guys carry on. What else do we need to know about? >>So one of the reasons, for example, that Mass Mutual is so excited about John Mode is because of the operational advantages. You think about exactly what Joe told you about multiple clusters serving must multiple use cases and maybe multiple divisions. And look, let's be clear. Marketing doesn't always get along with finance and finance doesn't necessarily get along with up, and I t is often caught the middle. Erica and Dion mode allows workload, isolation, meaning allocating the compute resource is that different use cases need without allowing them to interfere with other use cases and allowing everybody to access the data. So it's a great way to bring the corporate world together but still protect them from each other. And that's one of the things that Mass Mutual is going to benefit from, as well, so many of >>our other customers I also want to mention. So when I saw you, ah, last last year at the Pure Storage Accelerate conference just today we are the only company that separates you from storage that that runs on Prem and in the cloud. And I was like I had to think about it. I've researched. I still can't find anybody anybody else who doesn't know. I want to mention you beat actually a number of the cloud players with that capability. So good job and I think is a differentiator, assuming that you're giving me that cloud experience and the licensing and the pricing capability. So I want to talk about that a little >>bit. Well, you're absolutely right. So let's be clear. There is no question that the public cloud public clouds introduced the separation of compute storage and these advantages that they do not have the ability or the interest to replicate that on premise for vertical. We were born to be software only. We make no money on underlying infrastructure. We don't charge as a package for the hardware underneath, so we are totally motivated to be independent of that and also to continuously optimize the software to be as efficient as possible. And we do the exact same thing to your question about life. Cloud providers charge for note indignance. That's how they charge for their underlying infrastructure. Well, in some cases, if you're being, if you're talking about a use case where you have a whole lot of data, but you don't necessarily have a lot of compute for that workload, it may make sense to pay her note. Then it's unlimited data. But what if you have a huge compute need on a relatively small data set that's not so good? Vertical offers per node and four terabyte for our customers, depending on their use case, we also offer perpetual licenses for customers who want capital. But we also offer subscription for companies that they Nope, I have to have opt in. And while this can certainly cause some complexity for our field organization, we know that it's all about choice, that everybody in today's world wants it personalized just for me. And that's exactly what we're doing with our pricing in life. >>So just to clarify, you're saying I can pay by the drink if I want to. You're not going to force me necessarily into a term or Aiken choose to have, you know, more predictable pricing. Is that, Is that correct? >>Well, so it's partially correct. The first verdict, a subscription licensing is a fixed amount for the period of the subscription. We do that so many of our customers cannot, and I'm one of them, by the way, cannot tell finance what the budgets forecast is going to be for the quarter after I spent you say what it's gonna be before, So our subscription facing is a fixed amount for a period of time. However, we do respect the fact that some companies do want usage based pricing. So on AWS, you can use verdict up by the hour and you pay by the hour. We are about to launch the very same thing on Google Cloud. So for us, it's about what do you need? And we make it happen natively directly with us or through AWS and Google Cloud. >>So I want to send so the the fixed isn't some floor. And then if you want a surge above that, you can allow usage pricing. If you're on the cloud, correct. >>Well, you actually license your cluster vertical by the hour on AWS and you run your cluster there. Or you can buy a license from vertical or a fixed capacity or a fixed number of nodes and deploy it on the cloud. And then, if you want to add more nodes or add more capacity, you can. It's not usage based for the license that you bring to the cloud. But if you purchase through the cloud provider, it is usage. >>Yeah, okay. And you guys are in the marketplace. Is that right? So, again, if I want up X, I can do that. I can choose to do that. >>That's awesome. Next usage through the AWS marketplace or yeah, directly from vertical >>because every small business who then goes to a salesforce management system knows this. Okay, great. I can pay by the month. Well, yeah, Well, not really. Here's our three year term in it, right? And it's very frustrating. >>Well, and even in the public cloud you can pay for by the hour by the minute or whatever, but it becomes pretty obvious that you're better off if you have reserved instance types or committed amounts in that by vertical offers subscription. That says, Hey, you want to have 100 terabytes for the next year? Here's what it will cost you. We do interval billing. You want to do monthly orderly bi annual will do that. But we won't charge you for usage that you didn't even know you were using until after you get the bill. And frankly, that's something my finance team does not like. >>Yeah, I think you know, I know this is kind of a wonky discussion, but so many people gloss over the licensing and the pricing, and I think my take away here is Optionality. You know, pricing your way of That's great. Thank you for that clarification. Okay, so you got Google Cloud? I want to talk about storage. Optionality. If I found him up, I got history. I got I'm presuming Google now of you you're pure >>is an s three compatible storage yet So your story >>Google object store >>like Google object store Amazon s three object store HD fs pure storage flash blade, which is an object store on prim. And we are continuing on this theft because ultimately we know that our customers need the option of having next generation data center architecture, which is sort of shared or communal storage. So all the data is in one place. Workloads can be managed independently on that data, and that's exactly what we're doing. But what we already have in two public clouds and to on premise deployment options today. And as you said, I did challenge you back when we saw each other at the conference. Today, vertical is the only analytic data warehouse platform that offers that option on premise and in multiple public clouds. >>Okay, let's talk about the ah, go back through the innovation cocktail. I'll call it So it's It's the data applying machine intelligence to that data. And we've talked about scaling at Cloud and some of the other advantages of Let's Talk About the Machine Intelligence, the machine learning piece of it. What's your story there? Give us any updates on your embracing of tooling and and the like. >>Well, quite a few years ago, we began building some in database native in database machine learning algorithms into vertical, and the reason we did that was we knew that the architecture of MPP Columbia execution would dramatically improve performance. We also knew that a lot of people speak sequel, but at the time, not so many people spoke R or even Python. And so what if we could give act us to machine learning in the database via sequel and deliver that kind of performance? So that's the journey we started out. And then we realized that actually, machine learning is a lot more as everybody knows and just algorithms. So we then built in the full end to end machine learning functions from data preparation to model training, model scoring and evaluation all the way through to fold the point and all of this again sequel accessible. You speak sequel. You speak to the data and the other advantage of this approach was we realized that accuracy was compromised if you down sample. If you moved a portion of the data from a database to a specialty machine learning platform, you you were challenged by accuracy and also what the industry is calling replica ability. And that means if a model makes a decision like, let's say, credit scoring and that decision isn't anyway challenged, well, you have to be able to replicate it to prove that you made the decision correctly. And there was a bit of, ah, you know, blow up in the media not too long ago about a credit scoring decision that appeared to be gender bias. But unfortunately, because the model could not be replicated, there was no way to this Prove that, and that was not a good thing. So all of this is built in a vertical, and with vertical 10. We've taken the next step, just like with with Hadoop. We know that innovation happens within vertical, but also outside of vertical. We saw that data scientists really love their preferred language. Like python, they love their tools and platforms like tensor flow with vertical 10. We now integrate even more with python, which we have for a while, but we also integrate with tensorflow integration and PM ML. What does that mean? It means that if you build and train a model external to vertical, using the machine learning platform that you like, you can import that model into a vertical and run it on the full end to end process. But run it on all the data. No more accuracy challenges MPP Kilometer execution. So it's blazing fast. And if somebody wants to know why a model made a decision, you can replicate that model, and you can explain why those are very powerful. And it's also another cultural unification. Dave. It unifies the business analyst community who speak sequel with the data scientist community who love their tools like Tensorflow and Python. >>Well, I think joy. That's important because so much of machine intelligence and ai there's a black box problem. You can't replicate the model. Then you do run into a potential gender bias. In the example that you're talking about there in their many you know, let's say an individual is very wealthy. He goes for a mortgage and his wife goes for some credit she gets rejected. He gets accepted this to say it's the same household, but the bias in the model that may be gender bias that could be race bias. And so being able to replicate that in and open up and make the the machine intelligence transparent is very, very important, >>It really is. And that replica ability as well as accuracy. It's critical because if you're down sampling and you're running models on different sets of data, things can get confusing. And yet you don't really have a choice. Because if you're talking about petabytes of data and you need to export that data to a machine learning platform and then try to put it back and get the next at the next day, you're looking at way too much time doing it in the database or training the model and then importing it into the database for production. That's what vertical allows, and our customers are. So it right they reopens. Of course, you know, they are the ones that are sort of the Trailblazers they've always been, and ah, this is the next step. In blazing the ML >>thrill joint customers want analytics. They want functional analytics full function. Analytics. What are they pushing you for now? What are you delivering? What's your thought on that? >>Well, I would say the number one thing that our customers are demanding right now is deployment. Flexibility. What? What the what the CEO or the CFO mandated six months ago? Now shout Whatever that thou shalt is is different. And they would, I tell them is it is impossible. No, what you're going to be commanded to do or what options you might have in the future. The key is not having to choose, and they are very, very committed to that. We have a large telco customer who is multi cloud as their commit. Why multi cloud? Well, because they see innovation available in different public clouds. They want to take advantage of all of them. They also, admittedly, the that there's the risk of lock it right. Like any vendor, they don't want that either, so they want multi cloud. We have other customers who say we have some workloads that make sense for the cloud and some that we absolutely cannot in the cloud. But we want a unified analytics strategy, so they are adamant in focusing on deployment flexibility. That's what I'd say is 1st 2nd I would say that the interest in operationalize in machine learning but not necessarily forcing the analytics team to hammer the data science team about which tools or the best tools. That's the probably number two. And then I'd say Number three. And it's because when you look at companies like Uber or the Trade Desk or A T and T or Cerner performance at scale, when they say milliseconds, they think that flow. When they say petabytes, they're like, Yeah, that was yesterday. So performance at scale good enough for vertical is never good enough. And it's why we're constantly building at the core the next generation execution engine, database designer, optimization engine, all that stuff >>I wanna also ask you. When I first started following vertical, we covered the cube covering the BBC. One of things I noticed was in talking to customers and people in the community is that you have a community edition, uh, free addition, and it's not neutered ais that have you maintain that that ethos, you know, through the transitions into into micro focus. And can you talk about that a little bit >>absolutely vertical community edition is vertical. It's all of the verdict of functionality geospatial time series, pattern matching, machine learning, all of the verdict, vertical neon mode, vertical and enterprise mode. All vertical is the community edition. The only limitation is one terabyte of data and three notes, and it's free now. If you want commercial support, where you can file a support ticket and and things like that, you do have to buy the life. But it's free, and we people say, Well, free for how long? Like our field? I've asked that and I say forever and what he said, What do you mean forever? Because we want people to use vertical for use cases that are small. They want to learn that they want to try, and we see no reason to limit that. And what we look for is when they're ready to grow when they need the next set of data that goes beyond a terabyte or they need more compute than three notes, then we're here for them, and it also brings up an important thing that I should remind you or tell you about Davis. You haven't heard it, and that's about the Vertical Academy Academy that vertical dot com well, what is that? That is, well, self paced on demand as well as vertical essential certification. Training and certification means you have seven days with your hands on a vertical cluster hosted in the cloud to go through all the certification. And guess what? All of that is free. Why why would you give it for free? Because for us empowering the market, giving the market the expert East, the learning they need to take advantage of vertical, just like with Community Edition is fundamental to our mission because we see the advantage that vertical can bring. And we want to make it possible for every company all around the world that take advantage >>of it. I love that ethos of vertical. I mean, obviously great product. But it's not just the product. It's the business practices and really progressive progressive pricing and embracing of all these trends and not running away from the waves but really leaning in joy. Thanks so much. Great interview really appreciate it. And, ah, I wished we could have been faced face in Boston, but I think it's prudent thing to do, >>I promise you, Dave we will, because the verdict of BTC and 2021 is already booked. So I will see you there. >>Haas enjoyed King. Thanks so much for coming on the Cube. And thank you for watching. Remember, the Cube is running this program in conjunction with the virtual vertical BDC goto vertical dot com slash BBC 2020 for all the coverage and keep it right there. This is Dave Vellante with the Cube. We'll be right back. >>Yeah, >>yeah, yeah.

>> Voiceover: Live from Chicago, Illinois it's The Cube, covering Veeamon 2018. Brought to you by Veeam. >> Welcome back to the Windy City everybody. You are watching The Cube, the leader in live tech coverage. My name is Dave Vellante and I'm here with Stu Miniman. Veeamon 2018 #Veeamon The husband of Mrs Philbin is here. (chuckling) The Astros, Warriors, Eagles, and whoever wins the Stanley Cup this year fan, Bill Philbin, Senior Vice President and Global Chief Technology Officer for Hybrid IT, for Hewlett Packard Enterprises, good friend of The Cube. >> Hello everybody. >> Awesome seeing you again, thanks for coming on. >> Every time you introduce me, it's something new, so I can't wait to share that with Mrs Philbin. >> Well she, like Stu says, that's where you go, for the information. >> That's exactly right, that's exactly right. >> So, another great keynote here, you stole the show last year, you're vying for top spot, top gun this year, so how do you feel? >> It was good, I said I think, the funny thing about Veeamon Hewlett Packard is, we have so much in common. The agenda is the same. It was almost hard to actually to create a unique slide set that was different from what they said, versus what we said. I think after 32 years, Mrs Philbin and I, we're not quite finishing each other's sentences, but I know what she wants me to do, without her telling me at this point. So, Veeam and HP have that kind of relationship. >> Well Veeam has a tendency and a way of inserting itself, into an ecosystem and it's certainly embedded itself into the HPE ecosystem. >> And I think that's, that's a lot of credit to Peter Mackay you know, he's joined now, what is it, 23, 24 months ago, and he's sort of brought that partner-centric viewpoint, grew the team around us. And they're really a, who we sort of pull out for other partners, say hey look, this is what these guys are doing, this is what you need to do to be successful, in a sprawling enterprise like Hewllet Packard, so, he's done a really, really good job I think. >> So give us an update on that sprawling enterprise. We make Hybrid IT simple, is your mantra. How is that going, you know where does your group fit in? >> So our couple of quarters into the new tenure of Antonio Anieri being the CEO, the engineer turned CEO. >> Got to make you happy? >> Absolutely makes me, and the thousands and thousands of engineers happy. Great first quarter, and we'll see what happens, sort of in quarter number, in quarter number two. There's a lot of focus within the company, now that we have divested ourselves of things that were less important. Focus on enterprise infrastructure, customers, around a couple of key concepts. Certainly we're pushing synergy, sort of, the synergy platform. Second pushing and talk about one sphere or hybrid IT, hybrid cloud offering, three, you know, we've had a lot of success in storage. Certainly the Nimble acquisition, which is hard to believe, was almost consummated, (mumbles) it's almost a year ago right? Its a year ago, actually in May. I just got off a holiday with Mrs Philbin, last year on the holiday, I was closing the Nimble transaction in the middle of the Indian Ocean, talking WIFI on the boat, via Google Voice to San Jose. There is nowhere now. >> Always on. >> Always on, exactly right. Talk about hyper availability. And so, I think we're pushing on, pushing on that, and then we've got, we renamed our services offering to Point Next offering, focusing around transformation et cetera so, I think the business is really clicking on all cylinders, and I think, you know, focus is actually quite interesting. We often focus on what we don't have, versus only focusing on what remains. And just like any start up, you focus on the first market segment, second market segment. Hewlett Packard is focused on enterprise infrastructure as a profession, I think that's, I think that's bode well for us. >> Yep, Bill one of the things we were talking about on the intro is, Veeam getting much deeper with their partners. One of the things we highlighted is, there's a couple of partners added in the price book. >> And what does that mean, from a go to market standpoint, that it's a little bit more seamless, you know, not invented by HP, but part of the whole solution. >> Well I said to Peter Mackay on stage, 18 months ago we did this transaction, which at the time was considered pretty revolutionary, given the fact that we had other things in the portfolio at that point that did data protection. And it's what, first and foremost, it's what our customers wanted and asked for. They wanted a more seamless transaction between the two organizations so we went ahead and did that. Second, there's always been a strong engineering relationship between the two companies, but if it's still talking to two partners at the end of the day, it doesn't matter. You know, an integrated offering, on the same price list, on the same PO, supported by both companies together, is really what customers are looking for. And as I said in the keynote, you know, we closed the single biggest transaction that, in Veeam's history, which was a Hewlett Packard and Veeam win for every seven dollars, I think it was, of Hewlett Packard, that we closed, a dollar of that was Veeam. And that's, sort of, the power of the partnership, demonstrated by the two companies coming together. And it's hard to believe, again, it's 18 months, you know, that's a pretty impressive track record. >> You're obviously not sharing, you know, any names on that deal. But can you share with us, any other information that's public, why did you win? Maybe you can share, you know, the type of win that it was. Why HPE and Veeam? >> Yeah, the customer, obviously, is not prepared to have us, sort of, talk about their name, for now anyway. But, essentially, what the customer was looking for was, a complete sort of back up and recovery solution that covered, not only traditional virtualized environments, but also gave them outlet for the cloud. More and more customers, as I said in my keynote, it's more than keeping a copy everyday between your primary and your secondary. You need a third copy, because guess what happens? And I said this last year, if you remember. Boo boos happen quickly right? (laughing) Something changed and deleted here, actually fast replicates here, you need a third copy to be complete, they were looking for that. And third, they were looking for, sort of, they were already an HP customer, they were looking for solution offering that would amortize their existing real estate, that was the three reasons. >> And, but your third copy model is different than having to build a third data center. It's a much more space-efficient, modern approach. >> So together with Veeam and our, (mumbles) our displace back up target, roughly last year, we announced this capability called Cloudbank which allows you to keep a copy in any S3 compliant interface. So it can be in on prem, or on open stack, implementation or it can be on any of the web services providers and it's done in an efficient, data protected deetip capability so, it's an efficient way to keep a copy of, what we call hail Mary data. Right, you hope you never need it right? An efficient way to sort of do that. >> Okay, one of the big topics of discussion these days is ransomware, what are your thoughts on ransomware? >> Well it's funny, you know, I always thought ransomware was something that you wore when you were dropping off the money, right. (laughing) Apparently it means something more than that. >> Dave: Yeah, I think so. (voice drowned out by crosstalk) >> Last year at Discover, we had a customer who was a meat processor, a meat processor. Now you can imagine what kind of customers you're going to ask, a customer that does meat processing. But it actually infected their servers that actually helped them run their meat processing capability. Now that is not a business that you would expect someone will call you up and say, "Hi we have your data, give us $1000 and we'll give you your data back.". It's a meat processing company, or a gourmet food provider is a more typical way they would present it. But if they're, if that's happening to that sort of line of business, imagine what's happening to power plants, you know et cetera et cetera. So the ramsomware stuff is really real. So if you think about HP, we developed the most secure server with our Gen10 platform. We actually guarantee and actually look at changes being made in a firmer environment. We cover them for you automatically. We've got the Veeam sort of capability to recover, and I think we were talking about it in the preview. We used to measure availability in how many nines you had. Now, unavailability is the only thing that customers care about and if you go to a customer and say, "It's okay, you're only .0001 of the rest of our customers" that's not a good story right? It's not about when something happens, or if something happens, it's when something's going to happen and the power of Veeam and HP together, prevents, bad things from happening right? >> Bill, it's interesting, I know in my career, it's been a significant shift. It used to be, let's pardon it as much as possible, tool, redundancy, hardware focused. But cover eventually breaks. >> Bill: It does. >> Today, it's a soft world, it's distributed architecture, look at things like your synergy solution, it's much more modular and componentized. Maybe you can talk a little bit about some of those shifts, as to how we build availability architecturally, like the HPE and Veeam meet the new needs of what we need, as opposed to kind of the old way of doing things. >> It's actually interesting, so a lot of customers are looking at software-fine infrastructures as a way of amortizing their existing infrastructure. And it's actually cost savings. But I equate it to sort of, making a decision to buy Mrs Philbin a chest of drawers at a furniture store or, going to Home Depot, buying the wood, milling the wood and actually creating something myself. Now the good news about software fine infrastructure is, it's just like me making Mrs Philbin a chest of drawers, is at the end, it's mine. Right, I got it to my specifications. The bad news about software fine infrastructure is when there's a problem, Mrs Philbin isn't calling the furniture store, she's calling me right? And so, when you think about software fine infrastructure, is, you have to imagine two things. One is, are you prepared to write an application that is ready to resolve the kinds of data resiliency and data availability, capabilities that the hardware manufacturers have built into systems for 20 years. Now if you've got a unique system, that does one thing, it's probably easy. Imagine hosting 160 different applications, like that was mentioned on the stage today. And creating resiliency for that. So my conversation with customers about software define is, please go in wide open. Number two, please think about resiliency, not at the storage level, but also think about resiliency at the application level. You have got to provide for a time when something is not as available as you think it is. And make those steps consciously. >> Let me ask you, from a technologist's perspective. >> Bill: Yeah. >> If I understand you correctly, so if I'm Oracle, I can do things in the application, >> Bill: Sure. >> To accomplish that outcome, but you're not an application ISD, so you have to do things in your architecture, and assume that any application that's running can recover. >> Bill: Correct. >> Is that right? So can you help us understand that, how you approach that problem architecturally? >> Well I think you know, we haven't talked about big data, or Infosite, but if you think about it. The way to best protect a customer's infrastructure, is to actually monitor their infrastructure, compare their results to what others are receiving, recommend ways that they can actually tune up their infrastructure and eventually, act on their behalf, to make the changes to their infrastructure, so they're always protected. As I said in my keynote, it's getting to a point where you actually can't do all that stuff yourself. So the key, one of the key strategies around Hewlett Packard Enterprises, is to take the infrastructure capability which is basically machine learning, artificial intelligence, sort of capability, and deliver a system which helps customers be always on. That's the first thing that I think you can do. And you're going to be really good about making sure that I get out. >> I am, we got like two minutes, and I want to use every second I have of you, so. Okay, so I want to follow up on the Infosite, you've brought that out beyond just Nimble. >> Bill: That's right. >> I think you've brought it to Three Par and you're pushing it out throughout your entire portfolio right? >> So for customers who are going to see us at Discover, we've got some interesting things we'll talk about there. But effectively we've rolled it out across the portfolio, because, as I said in my keynote, it's not really easy to predict, why availability is an issue. Is it a host issue, is it a software issue, is it a networking issue, is it a storage issue. What Infosite eventually provides is a set of hooks that allow you to meter and measure and manage your entire infrastructure, and get it to a point where it's actually subscribing to the best practice of the organization or application provider. >> One of the things you hear a lot about is, how do you take back up and recovery, which is largely an insurance business, and create value out of it? GDPR is this sort of heinous you know, set of regulations, everybody's got to pay attention to it. Are we finally seeing the day, where the backup data protection, governance approach, can actually bring value to the rest of the organization? Or is it still just insurance, deal with it? >> So I think, I would say two things Dave, one is if you look at what Nimble's just announced with their secondary flasher right? Where we can keep a very cost effective copy of your data on an array, that looks like the array you copied it from. That can be used for dev ops, it can be used in the event of a failure et cetera. I think we're starting to see technologies available now where that, that happens. Second, the ability to make a copy of that in the cloud, and actually bring up your most critical applications in the cloud by using a Synergy, or a Onesphere capability, so you can actually keep a hot stand by, I think we're starting to see that. I think, you know backup is moving from a, cost of doing business, to something that's vital, vital in the enterprise but always remember that, the best time to think about a backup, is before you need it. The worst time to think about a backup, is when you need it. >> Yeah, and I think you'd agree that data protection as a topic, is moving up in the minds of CXO and boards of directors and the like. >> Yeah, and it's unfortunate that some of these bad actors that are out there, right, the CNN's and, this has caught more than just the IT community press, it's actually caught the business press. And I think it's drawing a lot more attention around the reason why people should think about availability. >> Right, you got to go, you got to catch a plane. But just give a little tease for HPE Discover. It's coming up in June, it's a great conference that you guys have every year, twice a year you do this US one, and one in Europe, give us a tease for June. >> I would say, this is going to be the most exciting HPE Discover on record. And this is Antonio's opportunity to sort of, talk to you about what's headed, what's headed forward for Hewlett Packard so, be there or be square. >> Okay. >> Dating myself. >> Okay we're square. Alright thank you Bill, for coming on The Cube and we'll be right back after this short break. We're at Veeamon 2018 in Chicago. Thanks for watching. (electronic music)

>> (dramatic orchestral music) >> Announcer: Live from San Francisco. It's the Cube. Covering Red Hat Summit 2018. Brought to you by Red Hat. >> Hello welcome back everyone. Day three of wall-to-wall coverage here at Red Hat Summit 2018 live in San Francisco, California, here at Moscone West. I'm John Furrier, your co-host of The Cube with John Troyer, analyst, co-host this week. He's the co-founder of TechReckoning, and advisory and community development firm. Our next guest is our (mumble) of the senior Vice President General Manager of Hewlett Packard Enterprises Pointnext HPE. Great to see you. >> Great to see you as well. Thank you. >> So there's not secret HPE been partnering with companies for many generations. And Red Hat is one of the big strategic partners. Lot of services opportunity, a lot of transformation happening, and the biggest thing is that true Private Cloud and Hybrid Cloud, and Public Clouds all happening an IOT Edge is kind of seeing pretty clearly what's happening. On-Premise isn't going away. >> No! >> It'll look like Cloud is going to run like a Cloud. >> Yeah. >> Has to work with the Cloud or Clouds plural, and then you got the IOT Edge out there-- >> That's right. >> All kind of coming together with software Kubernetes containers all kind of being glue layers in here. So, you know, must be good for you guys okay, customers can now see what you guys have been promoting. So what is HP doing with their ad? How's that tie into that-- >> Sure, sure >> You know, transformation with the cloud? >> You said it very well John. In fact when we talked to our customers weather they realized it or not, it's the Hybrid world, and the environments are hybrid, and like you said, probably private (mumble) are not going anywhere. In fact we did the CTPF acquisition, Red Pexia acquisition, and this is really all to help clients on the Cloud journey. Doesn't really matter to us whether the workload ends up in AWS, Google, Azure, on Prime or dedicated infrastructure. So, that's actually been a huge plus for us to really have a seat at the table, to have a discussion on the customers workload strategy. Now a partner like Red Hat, who have been together working together for probably 18 years now, and it's been a long steady partnership. Who they're number one OAM partner but also the point you made I think from a services standpoint that's just a huge opportunity you know, customers tell us anyone can do infrastructure service or they're looking for platforming service. So in jointly with our consumption capabilities, and Red Hat Open Shift. Now who giving them true Container Product Service. >> Containerization, how we were talking yesterday in our wrap-up. You can bring in the new without killing the old and but it's really fundamental because people want Cloud scale, they want the horizontal scalable application, devops and programing infrastructures code. But they can't just throw out their legacy stuff. Containers which allows them to nurture those applications and workload, and let it take it's natural course. This is actually good for services cause you can take-- there's a solution there. >> That's right! There's absolutely. In fact customers tell us when they looking for the platform, it's not just to help them on their new build. They're looking for help also to run the existing environment and most of the times it's not practical to re-factor, re-architect every single of the Legacy applications, and cause some of them applications, as you know, they were done to leverage the performance optimization on the underlying infrastructure piece of it, and so one of the things we're doing join to the Red Hat is leverage Containerization to provide the portability for the applications. To move between the different environments and whether it's Private Cloud, Public Cloud, but the key thing is portability, and mobility and that's sweet spot for containerization. >> Give some use cases of customers. Take us through a day-in-the-life of maybe a couple different examples where you guys are engaging with Red Hat where you coming in the customer is like, "Okay, here's my situation". What are some of the trends and patterns that you see with customers? What specifically are you, is it workload, moving it to the mobile clouds? Is it more re-platforming On-Premise. >> Yeah! >> What are some of the things that you guys are doing? >> I would say that the bulk of our engagement, and that's one thing that we feel really good about joining Red Hat. We have really shifted our engagement model to be much more outcome driven. So the discussions with the client is always start off with like a workshop, and within that workshop we're actually understanding where the customer is really trying to go, what business outcomes they're trying to achieve? Before we start we going to push a specific technology or stack with specific solution set, and by having that alignment, in in fact, we talk about that IT means to be embedded with the business. Not alignment, embedded with the business, and because the role of IT has changed. So when we talk about workload, right, it's about no longer, and I talked about this earlier today, you no longer running workload just within the Forward Data Center, and the traditional view of that IT owns and operates the Forward Data Center, that's just dead. So, it's really more about managing the supply chain. We talk about the overall workload strategy. Which workloads make the most sense to go on Public Cloud, Private Cloud, and then the discussion also centers around their application portfolio and really understanding which applications truly need to be Cloud Native. Which ones really need to be left in shift, and this whole portability concept comes into play and that's one thing joining with Red Hat because Red Hat is really good joining with us on driving this kind of innovation workshops. Then you heard this earlier today as well, and that's just the fun of if. When no longer you talking about PowerPoint presentation, this and that. It's getting in a room, getting on a White Board and talking about what kind of journey really make sense for that party-- >> That's been really notable here, this week at this conference, right. There a lot of tech, a lot of software talked about, but also on the keynote a lot of people talking about culture, transformation, getting beyond your process, and the places you get stuck as IT professionals. So that's a great way to approach it. Right, nobody starts with a list of skews-- >> No! And absolutely, the other point is that one of the things that always gets missed is the focus on the management of change, and that's one of the key pieces we emphasize that not just the business process, but the culture, the people. How you going to bring them along the change journey. So, we actually put lot of emphasis on the whole area around management of change. We actually have a practice that this is one of the keys areas they focus on. So, you're absolutely right. Key focus area. >> I did want to flip to the products for a second. There was an announcement here now and talk a little bit about HP Synergy, Composable Infrastructure, with Open Shift. Maybe if you have a headline on exactly how you guys describe Synergy and then maybe how we working with Open Shift. >> So the HP Synergy the best way I can describe it is it is truly industry first composable infrastructure, and it gives you the ability to pull fluid resources and with software intelligence built in, and Unified API. It really gives you the ability to pull the resource that you need for specific applications. In fact, I use the analogy, it's kind of like building Legos and you can pull together based on what you going to do at a given moment, and then you decompose it and build something new. So it's all done via a software and truly gives you that flexibility that customers have been seeking. So it's just to me its got a great market traction across the globe and we'll just see continued momentum when joining with the Red Hat. What we've done is now with the announcing new solutions like the one you referenced to, to support ansible automation of the Red Hat Open Shift on the Synergy platform from the three part and the Nimble product lines and it just helps scale the Open Shift and while making container operation simple, scalable and more importantly repeatable. >> I want to make sure that I get this out there, because you guys were early with composable. Dave Valata and I had a debate on this at one of your HP Discovers where, I was really lov'n the composable message. Although it was kind of for a different massage but at that time Devos was really picking up steam. But, it's actually happening now three years later the level of granularity to services level as microservices as it comes the architecture of the future. The services model is literally, "What do you want?" it's not, "Here's the solution", it's like< "What do you need?" so, you're buying off the menu, if you will, so that changes the game. So congratulations on having that composable method first. I got to ask you, the impact to the engagements. So you now have menu of services. Does that change how you guys go to market? You mention that you do kick of meeting, you do the needs assessment, so I get that. Check! good approach. But the customers now, they just want to make sure that it's custom for them. How does that change your engagement? >> At the CXO level, the discussion, no mater which way you start the discussion it tends to kind of follow into a few buckets. Rather it's about generating additional revenue, going to market quicker, or it's about safe to invest, reducing their operating expenses, or it's about securing their information network. One of the thing we find is especially if you take a look at even the containers, applications deploying it. It's one thing to deploy in the corporate environment but if you're trying to scale that with an enterprise. If the enterprises look for added features for their security, whether it's persistent storage and again the focus always turns into what can you do to help drive the total cost of ownership down. I think with Red Hat this is one thing that works great with Open standards. The focus is really much more around not just the simplicity, reducing costs, it's also about improving performance. Rather it's the physical virtual environment. So, you're right, the menu of services. Whether it's you talking about IOT Use Scape and I think you going to see more and more of that with the user experience, the focus that we talked about. Context of our apps. I use the example of going to the airport, getting into whatever transportation you using these days, but the point from point A to point B, you're no longer fumbling through cash or credit cards. It's a very easy experience, much more personalized much more usable and a lot of what some of the hospitality franchises are doing, whether you look at Starwood Properties, Marriott. Now you use a mobile device to access your room, and as soon as you get into some of the hotel property, as soon as you access their Wifi coverage all of a sudden you can actually, the hotel property picks you up. They can provide you with the navigation, how to get to your room and depending on your profile, and whether you opted in or opted out, they will push and their partners will push some specific services to you. So, how you are able to create that kind of experience and drive additional revenue and all that is possible to the point he just make, it's truly a flourishing eco-system of micro services and apps driven by the-- >> I think that business now seeing that which is great about that having a clear line of site that these new apps and new experiences is going to drive top line revenue for your customers. I got to ask you about the services now. With more services comes more delivery, right? So, options, ecosystems, you guys have a pretty big ecosystem right as a lot of other providers. You guys always worked will with multiple companies. How are you guys engaging with Pointnext with now new sets of service providers and your network. You got Cloud Service and you have someone actually maybe could be an intergrater, could be a software developer. How do you deal with this new stake holder in your equation? >> After all the spin mergers have been completed now and I think after DXC1 it really open up the door to get a lot of the system (mumble) back on the table because they don't really view us as competitor anymore. Because we no longer have a large the EDS acquisition that we had now the DXE. So whether you look at Accenture or whether you look at Deloitte and the other (mumble) we're actually partnering with them very well both in joint submission creation but also when we talk about true additions transformation for our client a lot of expertise they bring to us is very complimentary to what we have. So one of the thing we do very well is really around the technology advisor services. (mumble) bring more of the business advisory services as well as the specific vertical depth around the specific vertical whether it's emphasized retail. So when somebody talking about retail of the future or something like that. You marry the two together and you have a strong value proposition. I think the area that we have to put a lot more emphasis upon is more around program management, and because now you actually are trying to show that one outcome for the client, so it's very important whether you working with the ISB or whet ever you working with DSI or whether you working with the other intergraters, and your own resources how you going to bring that pool together around specific tracks and deliver a one common objective for the clients? The Program Manager plays a huge role in this process. >> For the folks watching. What should they know about HP Pointnext that they many or may not know about or should know about that that highlights what you guys are doing. Can you simplify, what is the value proposition that Pointnext is bring to customers? >> As the brand itself states, the Pointnext, it's really about working with the clients finding what's next in their journey. One of the thing I would say and a lot of people get surprised by this, even with after all the spin merge. We are twenty-five thousand people plus strong and we have a lot of great and deep appreciation when it comes to some of these solution and one thing we do very well is partner. Whether it's Red Hat and other SI and bring some unique innovative solution to the market and one of the thing Jim talked about here is all about accelerating user driven innovation, and when you take a look at some of the use cases we're rolling out and I talked about the analytics and the one AI project and how we're helping manufacturing clients or other use cases to truly analyze patterns and predict failures and increase productivity. These discussions customers truly trust us. With the (mumble) and CTP acquisitions we no longer just having On-Premise discussions. We have a strong public hard knowledge. It doesn't matter whether you cloud journey involves AWS, Google, Azure and what not. We are able to actually provide a very objective road map for the workload strategy and the transmission journey. >> The users in the communities as Jim pointed out in the meeting yesterday. The communities in Open Source are now also your customers. >> Right. >> So your customers are also participating in these projects upstream. Are you guys doing an Open Source work? What Pointnext doing? Are you guys relying on that community? Is there a crossover between your customers and those users in the Open Source community? >> Yeah, we always had a very strong (mumble) with the Open Source community. We contributed a lot to the Open Source communities and if you take a look at now as we working with the number of this next generation of partners, whether it's darker, scale it and Red Hat and others it's truly opened up the boundaries as to what can we push to drive new kind of solution there. I love what some of the speakers said yesterday. You remember the example from the Boston Children's Hospital where they talked about they didn't want to deal with the complexity, they'd rather focus on what they do best and so one of the thing we're focused on in the Open Source Continuity is the driving more standardization and automation. So you can run applications as scale. You can run analytics as scale. I think those are somethings we can bring to the table. >> Great! You know the thing about what's going on now with these abstraction layers is an opportunity to create new services and accelerate the services, and congratulations. Great to have you on the program. Thanks for sharing the update. >> Absolutely! >> Congratulation on your deep partnership with Red Hat. Go to see HP Pointnext doing well. Thanks for coming on. >> Thank you so much. >> Live coverage here in San Francisco California. Red Hat Summit 2018 will continue. I'm John Furrier John Troyer. Stay with us more coverage after this short break. >> (electronic music) >> Often times a communities all ready know about facilities that are problematic, because they smell it, they see it but

>> (Narrator) Live from Madrid, Spain. It's The Cube covering HP Discover Madrid 2017, brought to you by Hewlett Packard Enterprise. >> We're back at HPE Discover Madrid 2017. This is The Cube, the leader in live tech coverage. My name is Dave Vellante and I'm with my co-host for the week, Peter Burris. Cat Graves is here, she's a research scientist at Hewlett Packard Enterprises. And she's joined by Natalia Vassilieva. Cube alum, senior research manager at HPE. Both with the labs in Palo Alto. Thanks so much for coming on The Cube. >> Thank you for having us. >> You're welcome. So for decades this industry has marched to the cadence of Moore's Law, bowed down to Moore's Law, been subservient to Moore's Law. But that's changing, isn't it? >> Absolutely. >> What's going on? >> I can tell Moore's Law is changing. So we can't increase the number, of course, on the same chip and have the same space. We can't increase the density of the computer today. And from the software perspective, we need to analyze more and more data. We are now marching calls into the area of artificial intelligence when we need to train larger and larger models, we need more and more compute for that. And the only possible way today to speed up the training of those modules, to actually enable the AI, is to scale out. Because we can't put more cores on the chip. So we try to use more chips together But then communication bottlenecks come in. So we can't efficiently use all of those chips. So for us on the software side, on the part of people who works how to speed up the training, how to speed up the implementation of the algorithms, and the work of those algorithms, that's a problem. And that's where Cat can help us because she's working on a new hardware which will overcome those troubles. >> Yeah, so in our lab what we do is try and think of new ways of doing computation but also doing the computations that really matter. You know, what are the bottlenecks for the applications that Natalia is working on that are really preventing the performance from accelerating? Again exponentially like Moore's Law, right? We'd like to return to Moore's Law where we're in that sort of exponential growth in terms of what compute is really capable of. And so what we're doing in labs is leveraging novel devices so, you've heard of memristor in the past probably. But instead of using memristor for computer memory, non volatile memory for persistent memory driven computer systems, we're using these devices instead for doing computation itself in the analog domain. So one of our first target applications, and target core computations that we're going after is matrix multiplication. And that is a fundamental mathematical building block for a lot of different machine learning, deep learning, signal processing, you kind of name it, it's pretty broad in terms of where it's used today. >> So Dr. Tom Bradicich was talking about the dot product, and it sounds like it's related. Matrix multiplications, suddenly I start breaking out in hives but is that kind of related? >> That's exactly what it is. So, if you remember your linear algebra in college, a dot product is exactly a matrix multiplication. It's the dot in between the vector and the matrix. The two itself, so exactly right. Our hardware prototype is called the dot product engine. It's just cranking out those matrix multiplications. >> And can you explain how that addresses the problem that we're trying to solve with respect to Moore's Law? >> Yeah, let me. You mentioned the problem with Moore's Law. From me as a software person, the end of Moore's Law is a bad thing because I can't increase their compute power anymore on the single chip. But for Cat it's a good thing because it forced her to think what's unconventional. >> (Cat) It's an opportunity. >> It's an opportunity! >> It forced her to think, what are unconventional devices which she can come up with? And we also have to mention they understand that general purpose computing is not always a solution. Sometimes if you want to speed up the thing, you need to come up with a device which is designed specifically for the type of computation which you care about. And for machine learning technification, again as I've mentioned, these matrix-matrix multiplications matrix-vector multiplications, these are the core of it. Today if you want to do those AI type applications, you spend roughly 90% of the time doing exactly that computation. So if we can come up with a more power efficient and a more effective way of doing that, that will really help us, and that's what dot product engine is solving. >> Yes, an example some of our colleagues did in architectural work. Sort of taking the dot product engine as the core, and then saying, okay if I designed a computer architecture specifically for doing convolutional neural networks. So image classification, these kinds of applications. If I built this architecture, how would it perform? And how would it compare to GPUs? And we're seeing 10 to 100 X speed up over GPUs. And even 15 X speed up over if you had a custom-built, state of the art specialized digital Asic. Even comparing to the best that we can do today, we are seeing this potential for a huge amount of speed up and also energy savings as well. >> So follow up on that, if I may. So you're saying these alternative processors like GPUs, FGPAs, custom Asics, can I infer from that that that is a stop-gap architecturally, in your mind? Because you're seeing these alternative processors pop up all over the place. >> (Cat) Yes. >> Is that a fair assertion? >> I think that recent trends are obviously favoring a return to specialized hardware. >> (Dave) Yeah, for sure. Just look at INVIDIA, it's exploding. >> I think it really depends on the application and you have to look at what the requirements are. Especially in terms of where there's a lot of power limitations, right, GPUs have become a little bit tricky. So there's a lot of interest in the automotive industry, space, robotics, for more low power but still very high performance, highly efficient computation. >> Many years ago when I was actually thinking about doing computer science and realized pretty quickly that I didn't have the brain power to get there. But I remember thinking in terms of there's three ways of improving performance. You can do it architecturally, what do you do with an instruction? You can do it organizationally, how do you fit the various elements together? You can do it with technology, which is what's the clock speed, what's the underlying substrate? Moore's Law is focused on the technology. Risk, for example, focused on architecture. FPGAs, arm processors, GPUs focus on architecture. What we're talking about to get back to that doubling the performance every 18 months from a computing standpoint not just a chip standpoint, now we're talking about revealing and liberating, I presume, some of the organization elements. Ways of thinking about how to put these things together. So even if we can't get improvements that we've gotten out of technology, we can start getting more performance out of new architectures. But organizing how everything works together. And make it so that the software doesn't have to know, or the developer, doesn't have to know everything about the organization. Am I kind of getting there with this? >> Yes, I think you are right. And if we are talking about some of the architectural challenges of today's processors, not only we can't increase the power of a single device today, but even if we increase the power of a single device, then the challenge would be how do you bring the data fast enough to that device? So we will have problems with feeding that device. And again, what dot product engine does, it does computations in memory, inside. So you limit the number of data transfers between different chips and you don't face the problem of feeding their computation thing. >> So similar same technology, different architecture, and using a new organization to take advantage of that architecture. The dot product engine being kind of that combination. >> I would say that even technology is different. >> Yeah, my view of it we're actually thinking about it holistically. We have in labs software working with architects. >> I mean it's not just a clock speed issue. >> It's not just a clock speed issue. It's thinking about what computations actually matter, which ones you're actually doing, and how to perform them in different ways. And so one of the great things as well with the dot product engine and these kind of new computation accelerators, is with something like the memory driven computing architecture. We have now an ecosystem that is really favoring accelerators and encouraging the development of these specialized hardware pieces that can kind of slot in in the same architecture that can scale also in size. >> And you invoke that resource in an automated way, presumably. >> Yeah, exactly. >> What's the secret sauce behind that? Is that software that does that or an algorithm that chooses the algorithm? >> A gen z. >> A gen z's underlying protocol is to make the device talk to the data. But at the end of the system software, it's algorithms also which will make a decision at every particular point which compute device I should use to do a particular task. With memory driven computing, if all my data sits in the shared pool of memory and I have different heterogeneous compute devices, being able to see that data and to talk to that data, then it's up to the system management software to allocate the execution of a particular task to the device which does that the best. In a more power efficient way, in the fastest way, and everybody wins. >> So as a software person, you now with memory driven computing have been thinking about developing software in a completely different way. Is that correct? >> (Natalia) Yeah. You're not thinking about going through I/O stack anymore and waiting for a mechanical device and doing other things? >> It's not only the I/O stack. >> As I mentioned today, the only possibility for us to decrease the time of processing for the algorithms is to scale out. That means that I need to take into account the locality of the data. It's not only when you distribute the computation across multiple nodes, even if we have some number based which is we have different sockets in a single system. With local memory and the memory which is remote to that socket but which is local to another socket. Today as a software programmer, as a developer, I need to take into account where my data sits. Because I know in order to accept the data on a local memory it'll take me 100 seconds to accept my data. In the remote socket, it will take me longer. So when I developed the algorithm in order to prevent my computational course to stall and to wait for the data, I need to schedule that very carefully. With memory driven computing, giving an assumption that, again, all memory not only in the single pool, but it's also evenly accessible from every compute device. I don't need to care about that anymore. And you can't even imagine such a relief it is! (laughs) It makes our life so much easier. >> Yeah, because you're spending a lot of time previously trying to optimize your code >> Yes for that factor of the locality of the data. How much of your time was spent doing that menial task? >> Years! In the beginning of Moore's Law and the beginning of the traditional architectures, if you turn to the HPC applications, every HPC application device today needs to take care of data locality. >> And you hear about when a new GPU comes out or even just a slightly new generation. They have to take months to even redesign their algorithm to tune it to that specific hardware, right? And that's the same company, maybe even the same product sort of path lined. But just because that architecture has slightly changed changes exactly what Natalia is talking about. >> I'm interested in switching subjects here. I'd love to spend a minute on women in tech. How you guys got into this role. You're both obviously strong in math, computer backgrounds. But give us a little flavor of your background, Cat, and then, Natalia, you as well. >> Me or you? >> You start. >> Hm, I don't know. I was always interested in a lot of different things. I kind of wanted to study and do everything. And I got to the point in college where physics was something that still fascinated me. I felt like I didn't know nearly enough. I felt like there was still so much to learn and it was constantly challenging me. So I decided to pursue my Ph.D in that, and it's never boring, and you're always learning something new. Yeah, I don't know. >> Okay, and that led to a career in technology development. >> Yeah, and I actually did my Ph.D in kind of something that was pretty different. But towards the end of it, decided I really enjoyed research and was just always inspired by it. But I wanted to do that research on projects that I felt like might have more of an impact. And particularly an impact in my lifetime. My Ph.D work was kind of something that I knew would never actually be implemented in, maybe a couple hundred years or something we might get to that point. So there's not too many places, at least in my field in hardware, where you can be doing what feels like very cutting edge research, but be doing it in a place where you can see your ideas and your work be implemented. That's something that led me to labs. >> And Natalia, what's your passion? How did you arrive here? >> As a kid I always liked different math puzzles. I was into math and pretty soon it became obvious that I like solving those math problems much more than writing about anything. I think in middle school there was the first class on programming, I went right into that. And then the teacher told me that I should probably go to a specialized school and that led me to physics and mathematics lyceum and then mathematical department at the university so it was pretty straightforward for me since then. >> You're both obviously very comfortable in this role, extremely knowledgeable. You seem like great leaders. Why do you feel that more women don't pursue a career in technology. Do you have these discussions amongst yourselves? Is this something that you even think about? >> I think it starts very early. For me, both my parents are scientists, and so always had books around the house. Always was encouraged to think and pursue that path, and be curious. I think its something that happens at a very young age. And various academic institutions have done studies and shown when they do certain things, its surmountable. Carnegie Mellon has a very nice program for this, where they went for the percentage of women in their CS program went from 10% to 40% in five years. And there were a couple of strategies that they implemented. I'm not gonna get all of them, but one was peer to peer mentoring, when the freshmen came in, pairing them with a senior, feeling like you're not the only one doing what you're doing, or interested in what you're doing. It's like anything human, you want to feel like you belong and can relate to your group. So I think, yeah. (laughs) >> Let's have a last word. >> On that topic? >> Yeah sure, or any topic. But yes, I'm very interested in this topic because less than 20% of the tech business is women. Its 50W% of the population. >> I think for me its not the percentage which matters Just don't stay in the way of those who's interested in that. And give equal opportunities to everybody. And yes, the environment from the very childhood should be the proper one. >> Do you feel like the industry gives women equal opportunity? >> For me, my feeling would be yes. You also need to understand >> Because of your experience Because of my experience, but I also originally came from Russia, was born in St. Petersburg, and I do believe that ex-Soviet Union countries has much better history in that. Because the Soviet Union, we don't have man and woman. We have comrades. And after the Second World War, there was women who took all hard jobs. And we used to get moms at work. All moms of all my peers have been working. My mom was an engineer, my dad is an engineer. From that, there is no perception that the woman should stay at home, or the woman is taking care of kids. There is less of that. >> Interesting. So for me, yes. Now I think that industry going that direction. And that's right. >> Instructive, great. Well, listen, thanks very much for coming on the Cube. >> Sure. >> Sharing the stories, and good luck in lab, wherever you may end up. >> Thank you. >> Good to see you. >> Thank you very much. >> Alright, keep it right there everybody. We'll be back with our next guest, Dave Vallante for Peter Buress. We're live from Madrid, 2017, HPE Discover. This is the Cube.

>> Narrator: Live, from Madrid, Spain, it's theCUBE, covering HPEE Discover Madrid 2017, brought to you by Hewlett Packard Enterprise. >> Welcome back to Madrid, everybody. This is theCUBE, the leader in live tech coverage. My name is Dave Vellante, and we're here with my co-host Peter Burris, and this is day one of HPEE Discover Madrid. Susan Blocher is here, she's the vice-president of portfolio marketing at Hewlett Packard Enterprise, and Bruce Trevarthen joins her. He's the CEO and founder, I believe, of Layer X. Welcome back, both of you, to theCUBE. >> Thank you David. >> All right so Susan, big show for you guys, and we have these six months cadence of big messages >> Susan: Yes. >> And customer shows, so what are we going to hear this afternoon at the keynotes? >> Wow. I'll tell you we've got a lot of exciting news to talk about. First of all, the way customers are consuming IT is really changing, cloud is changing the game. We got some amazing announcements to talk about around how we're going to help customers in the hybrid IT space consume IT differently. We're going to talk about how we're helping them manage across multi-cloud environments. We're going to talk about bringing artificial intelligence and machine learning to the data center which is really transformational. So, lot's of exciting news here. >> Good, okay! So we'll be covering the keynotes here just actually in about a half hour or so, we kick off. Meg, Antonio >> Yes. you've got a new leader so we're going to hear from him, we've been hearing from him for some time now. >> Very exciting. >> Looking forward to hearing from him. Okay, Bruce. It's been awhile since we talked about layerX. Tell us what's transpired in the last couple years. Set up layerX, what you guys are all about and what's new. >> Sure, so it's a cloud service provider based out of New Zealand. Multiple platforms giving us that resilience. You know, that sort of general cloud people all know what cloud is these days. But really for us the journey it just continues. We keep, from a strategy point of view we keep looking at where is cloud adoption at, where is cloud going, are these hyperscale providers going to enter every country and every market? And really, sort of, make us, sort of in country boutique operators less relevant. So you're always asking that question and then you're sort of hit with this new wave of expectations down from the clients. Hybrid IT has been the big push in the last 12 months and what's really encouraging for us when we get hit with this new sort of level of interest and a slight tangent on this manage services delivery is that HPE already thinking the same way. They've already come up with a product line that's going to plug that gap. So we work very closely with HPE with their edge line and the OEM team globally, to deliver HPE hardware on customer site or on premise. And then we put our own software on that, we link it back into the core V-grid environment, and that really, for a customer they keep those workloads on site where they need to be. And then you've got that public cloud environment for the disaster recovery and the workloads that don't need to be on site. >> So let's unpack that a little bit. Tagline, Hewlett Packard Enterprises uses make hybrid IT simple, that's the objective. >> [Susan]- That's right. >> You know, IT is complicated, hybrid IT is complicated. What's the starting point to make it simple Bruce, from your perspective? Is it to make the infrastructure as invisible as possible, is it bringing the cloud upward model? Maybe talk about those steps. >> Sure. Well, I mean, one of the first things we try to do to make it simple is we don't mention cloud. We talk ultimately about what workload is the customer consuming and where do they belong? And so, we're invariably seeing more and more workloads that really shouldn't go centralized in a data center they should be on site. So, GPU accelerated desktops for oil and gas research, or some of our clients doing 3D engineering, you know, CAD design work. You can put that in a data center, and we have, but then you're at the mercy of the fiber connections. Speed of the fiber connection, the resilience of the fiber connection, and the cost absolutely. And so keeping some of those workloads on site just makes sense. But how can you then leverage the benefit of that centralized IT in the event of a disaster if all of your workloads are actually on site? And that's where it's got to be hybrid. You can have those workloads on site but all your files and all that capability is sort of mirrored in the cloud environment. So if you have a fiber cut, then you can use a cellular network to get there. Or if you have an on site disaster, then you can spend the equivalent resources in the data center, but on demand, rather than dedicated to you. >> We like to say that customers want or the way that we summarize it at Wikibon is, customers want the cloud experience where the data demands. >> Dave: 'cause we do talk about cloud >> 'cause we do talk about cloud periodically. Well, but you have to, because at the end of the day it's driving a new way of thinking. Not just about the technology, but how you solve business problems. And it comes back to how do you think about the business problem differently. I love New Zealand, I've been there a couple times. I've worked with a lot of customers and the minute that you said New Zealand I was like, right! How do, how does the cloud experience, how are you solving problems differently than you did a few years ago because of not only the HPEE partnership, but thinking differently about these problems? >> Thinking differently is definitely something you have to do to stay relevant, right, to keep up with the market. Almost ten years ago we thought what we felt was a little differently, when we adopted the HPEE 3PAR, and that really was a technology that gave us the ability to change our mind regarding storage. Spin forward now to 2017. In April this year we put in our first HPE Synergy platform. This month we're just putting in our second HPE Synergy platform. And Synergy gives us for compute what HPE 3PAR gave us for storage. The ability to change our mind, to be programmatic or autonomous with the deployment of resources for a customer need. And so for a public cloud environment, that's basically spinning up compute nodes as required for the demand within the clusters. But it also introduces by way of the technology capability, a new channel, or a new revenue opportunity. Because now we can actually programmatically spin up compute nodes of any flavor, for a customer in a private cloud environment. So this is physical tend to the customer opposed to virtual, you know, cloud. We can do that just as easily as we can a VN because of Synergy. >> And that's really exciting. I think what Bruce is really representing here is that he can focus on business outcomes for his customers. And you, Dave, you said it makes the infrastructure transparent. Transparent but underneath that is really differentiated capability and value like the ability to spin up and spin down composable infrastructure on demand. Like the ability to bring world class security to that infrastructure. So all of those things are underpinning the services that layerX is able to deliver. >> So I would think part of making Hybrid IT simple is not just throwing a bunch of products at your customers. >> Right. >> We heard on the last financial call that HPE is changing the way... >> Exactly. >> ...it reports. It's going to report hybrid IT, which is essentially your portfolio. >> Susan: Exactly. >> So it's server, storage, networking and relevant services around that >> That' right. >> Susan: And software. >> And software that powers all that, so talk about how you're going to market and how that aligns with how you guys want to buy. >> Yeah, well think about it from, let's talk about it from the layerX perspective. When you look at Synergy, that is not a piece of hardware, that is truly software defined intelligence built into innovative hardware. Based on our Gen 10 server platform, which in and of itself is the world's most secure industry standard server platform because we have built in silicon route of trust, and things like that, so what you get is all of that put together. All of that integrated. That software defined intelligence, the technology innovation, the infrastructure innovation. And wrappered with the services that both support the layerX company and their customers. >> Maybe talk about your customers a bit more. What are they really pushing you hard to do? What are the big challenges they face, and how are you addressing those? >> One of the most common conversations with cloud is obviously cost. Everyone's trying to commoditize this resource to the Nth degree every day, but the vGrid which is the our brand for our cloud platform, The vGrid position really is around performance and reliability and we back that up through HPE hardware platforms and a software stack that enables that. But our customers are really driving us to make sure that we stay relevant. Not only with that performance and reliability but still on cost. Even though we are giving them enterprise and beyond capabilities as an SMB, cost is still a major defective for an SMB. So for us to keep our overheads low we need automation. You know we're not going to go put in, no disrespect to the product line, but we're not going to go and put in maybe an Apollo or a CloudLine solution, we're going to stick with Synergy and previously the ProLion because of the added value wrapped around that that actually gives us the peace of mind and the operational efficiency through our engineering team to get the work done far more effectively. Now with Synergy takes it up to a whole new level because this is all composable now. My CTO mentioned to me the other day they just put in a new 8450 3PAR. And he said, "All I had to do "was create the CPG's in the 3PAR and OneView did the rest." He's like I don't have to go into all these other steps that he used to have to do. So, it saves time and time is expensive. Not only from a human resource point of view, but go to market speed. >> Well, converged hardware was about having a common set of support technologies. The whole notion of hyperconverge starting to converge the actual administrative tasks. But what I remember, the last time that I was in New Zealand and talked with large users, was a real emphasis on analytics because of New Zealand being an island with great resources in some respects and less resources in others, energy, telecommunications. How is the modern economy of New Zealand with some of the constraints that it faces driving the use of digital technology to lift up industry, services, and the quality of life in New Zealand? >> We're seeing that in a very far reaching kind of industry verticals. And more so now with obviously IOT's become a pretty hot topic, but IOT backed by all the smart and on-demand composable architecture is really making a difference to primary industries, making them more productive more effective, more efficient. But really the customers in New Zealand we're a nation of early adopters. We have 96% of our companies are six or less people. So, we're dealing with SMB's that have to box above their weight. They have to adapt, they have to do more with less. You know all of this cliches that really encumber the average small company, and we have a lot of them. So the demands from an IT perspective are give me what my enterprise counterparts have but at a per user, or resource unit per month kind of model so cloud just makes so much sense for them. >> Susan, big takeaways from Madrid? What do you want the world to walk away with? >> Well I think first of all, when we say we're going to help make hybrid IT simple, what we're talking about and really exemplified with layerX is we're talking about from the edge to the core to the cloud. So, really end to end. The other really exciting thing that we're here talking about is AI, artificial intelligence. Deep learning, machine learning. And you talked about it in the context of edge computing and IOT which is obviously super hot, but we are also bringing AI to the data center. So as we look at-- >> Peter: In other words, making data center operations, IT operations, >> Making the data center autonomous, self healing, self managing. You look at the automobile industry, autonomous cars, right? Well think about how that's going to be applied to autonomous data centers. That's what we're going to be talking about. >> Shoes for the cobbler's children. >> You got it. >> Well, and think about the impact that has on the business where you're allowing people not to spend money on whatever, lung provisioning, >> Right. >> And server management, but really focusing on some other more strategic aspects of their business whether it's digital transformation, AI, other data-oriented activities. >> Exactly. >> Sometimes the data has to be here and you want to make sure that when the data's there it has the same services are available to the business, >> Susan: Yes. >> to take advantage of that asset where it is. >> Real time analytics for the data that matters to our customers at the edge and in the cloud, as well as applying that same AI to the telemetry of the data center and using that to make the data center more efficient, more effective, more autonomous and self-healing. >> Awesome. So, keynotes are coming up very shortly. We'll be running those on our twitch channel twitch.com/siliconangle. You can check those out obviously at HPE as well, HPE.com Susan and Bruce, thanks very much for coming to theCUBE, >> Thank you so much, appreciate it. >> setting up the afternoon. Really appreciate your time. >> No problem. >> Thank you. >> Alright, keep right there buddy. We'll be back after the keynotes. This is theCUBE. We're live from HPE Discover, Madrid. (electronic music)

>> Announcer: Live from Las Vegas. It's theCUBE covering VMworld 2017, brought to you by VMware and its ecosystem partners. >> Okay, welcome back, everyone. Live here at VMworld 2017 day three wrap-up. We're going to wrap up the whole show. I'm John Furrier with Dave Vellante, Stu Miniman, Keith Townsend. Cube, set, two sets of coverage. Guys, great job, we have Justin Warren as well, John Troyer, Lisa Martin. Great team, guys, amazing. Three days, a lot of content, wall-to-wall coverage. Double barrel shotgun of Cube content. Amazing. What's left in the tank? Let's get this done. Dave, your thoughts as VMworld comes down to a close. >> Well, so I missed VMworld last year as you know, 'cause I was doing another show. Pat was giving me a lot of grief for that. But if I go back two years ago, two years ago VMware was shrinking. Its license revenue was in decline. Its cloud strategy was in continued disarray. Customers were kind of, you know, losing a lot of faith. >> John: Ecosystem was in turmoil. >> And the world thought that Amazon was going to completely destroy this company. Fast forward two years later, license growth, you know, 12-13%, the company's growing. It's nearly eight billion dollars, three billion dollars of operating cash, big stock buybacks, clarity on the cloud and, I think, and I'd love for Keith's opinion on this, a recognition of the customers that "I can't just throw everything in the cloud." Okay, that's one thing, but what I can do is try to bring the cloud model to my data, and AW, I mean Amazon, sorry, VMware is going to be a partner in doing that. And I think those have all been tailwinds along with some product cycles and some >> John: And Dell Technologies buying out from the federation which was taking on water. Let's not forget. Let's not forget about the federation EMC owned VMware and that was bought by Dell. >> People talk about the Dell discount. I'm not seeing the Dell discount right now. >> What is a Dell discount? What does that mean? >> The Dell discount is because Dell owns VMware, just like when EMC owned VMware, it somehow shackles them and depresses the value. Michael obviously doesn't agree. >> So product focus as well has been not diminished at all. The products are front and center. They still got the sessions. Guys, on the product side, what's your view? >> Strong product offering. I really love the message they want. A lot of the response from the community was like, "Pat is feeling energized." He has this shadow of what is going to happen post-acquisition. Is there going to be a Dell discount? You know what? VMware, you know, famously, five years ago, Pat was onstage. He said he's going to double down on virtualization. He jettisoned Pivotal, and we were all wondering, "What is he doing?" Proved over the long run he was right. Last year, this year, he's doubled down, not on just virtualization, but on this concept of SDDC. And it's finally starting to pay off. We're seeing consistently this concept of VCF. VMware cloud foundation on premises, off prem, and even in AWS, ironically. You know, three or four years ago, we were like, well, is OpenStack going to eat VMware's lunch? VMware has turned the tables and become that OpenStack layer, that consistent cloud layer, at least for that legacy type of way to do IT. Taking your internal data center processes and moving them to the cloud consistently across their vCAN network in the AWS. >> So if I get this right, you're basically saying that VMware essentially went from a position where they're twisting in the wind at all levels, turmoil in every department, every, house is on fire, to pulling one major bold bet, grab it out of the hat, kicking ass, taking names, Pat Gelsinger and team made good calls. >> You know what, I'm not a fan of calling what VMware's SDDC thing a private cloud. I don't think it's true private cloud. It is valuable to the infrastructure, but it's not private cloud, but customers love the message. Take what I'm doing now, check an easy box, move it into AWS or vCAN and it's resonating. >> Well certainly, Stu just gave you the eye dagger, 'cause Stu, the true private cloud report from Wikibon, which has been going viral at the show, been the talk of the show, everyone has been talking about it, Wikibon's true private cloud report. People love that, too, because the message is simple, take care of business at home, called the on prem. Yeah, change the operating model, that's going to take some time. >> So, my thought on this is, for years, we were talking about the stack wars. Lately, we've been talking about the cloud wars, and for the last few years, when I talked to the partner ecosystem, they were shrinking their booths. They were looking for alternatives. Remember Cisco? Aw geez, flaying anything but VMware. Let's see if we can do this. You know, IBM who was a big VMware partner. Well, they got rid of X86. Where are they going to part with VMware? On and on, HPE going closer with Microsoft. Even Dell, pre-acquisition, how much deeper they going to go with Microsoft? Now, you know, John, we've been talking on theCUBE for a while. You know, there's Microsoft. Their stack, their partnerships, their application, where they're putting it. Amazon, huge elephant in the room, when they made the deal it was like, oh well, you know, Pat's on his way out the door, and he's kind of, you know, pulling one over on Dell before he leaves. Now, I think we understand a little bit better where this fits in that portfolio of the Dell family. Open source, still something we beat on Pat and EMC before that. They're not really open source. They've got a proprietary software alternative that their partners seem excited about. They've really fumbled around with their cloud strategy for a year. They've got one that seems to be going well. We'll see, 4,500 service provider partners, the Amazon thing. We will still see where revenue comes. >> Stu, that's a good point. Pat Gelsinger was kicking ass as a CEO now, but his channels on his job many times, so props to Pat. He made some good calls, stayed on course, held the line on the direction, did not cave at all, him and his team, they did it. There's been some turnover as we know in VMware. I'll see the results. I'll clear the scoreboard. They're winning. Question I'll put to you guys right now. Impact of Andy Jassy from AWS here on day one. How much of an impact was that? He made some statements. And the question I want to ask you, in addition to the impact, is he said, "This is not an optical deal." Most companies make optical illusional deals, make it look like they're all in, and they don't really deliver. So one, impact of Jassy being here and two, who was he talking about? >> Dave: Well >> Where's the Barney deal? >> Well, so okay, first thing is I saw, I've always seen that AWS deal from Andy Jassy's perspective as TAM expansion. Big part of a CEO's job is, I've got to expand my TAM, especially when you see the growth of AWS, and it's slowing down a little bit, even though it's still impressive. He's got to expand his TAM. Well, how does AWS do that? Look to 500,000 VMware customers. So that's number one. Barney deal? There are a lot of Barney deals out there. I mean, most... >> What are you referring to, 'cause Google came on the stage the next day. I was getting tweets saying "Azure?" Stu, guys, who's the deal? Who was Andy Jassy talking about when he was looking at the VMware customers saying, essentially, this is not, implying others are? >> I'm not sure that he was necessarily throwing shade at anyone specifically. What there was is there was 18 months from when this deal went through, a lot of work. This was a lot of engineering work. Talk to the cloud foundation team, talk to the VSAN team. The amount of work to actually integrate, because we know Amazon actually has an extensive engineering team. They hyper-optimize what they're doing, so this is not some white box that I just slapped VMware on and said the BIOS, you know, it works and everything where I still am a little concerned if I'm, you know, a VMware employee as customers, I talked to some customers that really excited about this, the Lighthouse customers. They say it's going to get my team that loves their vCenter. They love everything, it's going to help them move faster. Then, you're talking to, "Oh there's these services they're going to be able to use." I'm like well, how much are they going to realize oh hey, this is great, and the VMware sales reps are just going to get eaten by the lion while the customer goes off. >> And so the impact's big then, you're saying, but you won't answer the question of who he's referring to. You don't think he's referring to anyone. Keith, what do you think? >> Let's look at, I like the comment about how difficult the integration was. Last year when I read, it said something like, wait, hold on what, the AWS, who is notorious about controlling their message, what I thought was funny is that Andy didn't use the term private cloud, he didn't use the term VMware cloud, he, VMware infrastructure and AWS, which is a massive engineering effort. So from that, I question whether or not they could execute upon that, but Andy Jassy being onstage on Monday showed the commitment that we're going to make these other services work, the total addressable market of 500,000 additional customers. You don't do this for bare metal servers. >> John: VMware has 500,000 customers? >> Yeah. That's the total addressable market, but that's not where AWS is going to grow by halting physical servers, by selling more Lambda, selling more CDN, selling more PAS, is the key, and where VMware and AWS relationship his weak is in that true integration between the two hybrid IT environments. So when you say, "Where's the barney deals?" the barney deals are, I think it's across the industry. Unless you're getting fully in bed and committed to make that level of investment >> No but engineering resources, this comes back down to what, the new kind of engagement between biz dev deals look like. You need to have that kind of level. >> I have no problem pointing to the Nutanix Google deal, anything that people are doing with Azure, no one's partnered at this level. >> Okay, Azure is a good one too, because I've heard from startups that have been enticed by the dollars, 'cause Microsoft's been sprinkling some cash on, who have left to go back to AWS, because of technical reasons, reverse proxies, basically software clued just to basically make stuff work. >> Well, so, where do we, how much do we know about the IBM VMware relationship? Because I mean IBM's >> Pat brought it up today. >> Soft layer hosting, right? They've got a lot more experience with VMware, IBM has said, I think they're shipping, they've been shipping for quite some time. So there's an example of engineering that had already largely been done, that's actually delivering value for customers. Pat probably brought it up because it's a great distribution channel for him. And I think Keith's right on. AWS doesn't speak in terms of VMs. They talk in terms of cloud services, like Lambda, database services, middleware, PAS layers, that's really where they're going to hook people in this community into their platform. >> Okay, so here's a question to end the segment as we wrap up the show, because this is kind of where it's all going. To me, my big epiphany was the following. Andy Jassy, statesman, Harvard MBA, now CEO of AWS, ticking names, ticking this, huge accomplishments, he's done great in his career, he's only getting better. And then Sam Ramji, great developer chops, knows software ecosystems, not Andy Jassy in terms of the title, but in terms of status, still a solid guy. Two contrasting positions, running the biggest cloud today, to Google brainpower, okay? So you're looking at that and you're saying, "Hmm, where is this going to go?" So the question on the table is, what does it take for someone to be successful in today's IT environment? Does IT need to be smarter in business or does need to be more smarter in IT, or both, and does Google have enough IQ in IT to actually make the products fast enough or are they at risk? >> Well I'll take the customer point of view, and you know, we always talk about people, process, technology. The technology is maturing, and it's maturing pretty quickly, but maybe still not quite to the point where the true private cloud vision is where we need it to be, but what's going to slow that down is the people and process side is going to take a lot longer. Stu, you made a comment yesterday, VMware's moving at the pace of the CIO. >> It's Keith's line, he's been using all week. >> Okay, great line and Robin Matlock heard that today, course marketing CMO said, "And the CIO needs to move faster." (men laugh) Well guess what? They can't. I thought that was just a perfect testament >> But that is exactly the dilemma isn't it? >> It really is, and this stuff is hard. And cloud doesn't necessarily make it any easier, (laughs) if anything, it makes it more complex, 'cause it's a completely new business model. >> But remember the old term, forklift upgrade? Okay, you don't have forklift upgrades anymore, you have rip and replace, whatever word you want to use. >> Stu: Now we have lift and shift. >> Lift and shift, rip and replace, lift and shift. Is Google, and this is my challenge to Sam, I didn't have time to ask him this question, I'll certainly do one on one next time I see him. Is Google smart enough with IQ in IT, certainly we know they're smart enough, but do they have enough IQ in IT to really make the transformation, or are they betting on a rip and replace version of a cloud? >> So John, no doubt Google's smart, and they built amazing things that, the ripple that Google has through the industry is phenomenal. They spin off whole industries based on what they're doing. Google played a very different game than Amazon is, you know, when you talk to customers and how they're first getting onto Google, you know, data's really important, analytics of course. Couple of years ago Google was saying, "Oh, we're just going to be that data analytics cloud," now of course they're trying to be a big player. Amazon, the company, remember, Amazon isn't just AWS. Andy Jassy fits into Jeff Bazer's great plans. You know, I'd love to hear, when we go to reinvent, what's happening in Whole Foods that's impacted by AWS. They are everywhere, they are, you know, Walmart did. >> How about TAM expansion, my wife's checking Amazon even more. >> But this is really interesting right, because Walmart's now using its muscle to say, "Hey, you going to do business "with AWS" >> Absolutely >> "And Whole Foods? "You're not doing business with us." So the point being that digital business is allowing companies to traverse industries and now you're seeing it in really interesting competitive lashbacks. >> So Capital One was onstage, I say something that over the past couple of years been controversial, no one believes me, but I believe this is what needs to happen. Capital One claimed that it's a technology company, they're not a bank. Well I want to bank with a bank, that' a whole 'nother conversation. But technology is just a tool to get your job done, and just like we had bookkeepers that knew Excel and then eventually Excel just became a part of your toolkit. AI, I talked to Chuck Hollis of Oracle about this on the podcast the other day. AI is just going to be a business toolkit that a business user uses. To the question, business users will become smarter at using technology. The cloud providers that enables the business user to have the least amount of friction to use that technology, to solve business challenges will win. The question is, is that Google or Andy Jassy, who has done it with Amazon, or some other cloud provider that's eating their own dog food. >> Okay guys, let's wrap this up. Let's go around the table, one word, two words, how do you wrap up VMware's position vis a vis as they go forward? >> VMware's on fire, I think the data center's on fire, the ecosystem is reforming around the cloud. And there's a lot of momentum right now, I mean I'm wondering, okay, what's going to happen to derail this, but right now the fundamentals look very good. >> Relevant, John. >> Yeah. >> Cool and relevant again. It's right, you know, cool, we can all argue, you know, look, I like what I heard with Amazon, it was better than I was expecting coming in. You know, getting in there, they talked about serverless, they talked about edge computing, something I actually had a couple really good conversations ticking to, partners doing IoT, and customers looking at that. If they can be relevant, not just in the data center, but in the cloud, and even at the edge, VMware's going to have a good life going forward. >> Yeah, and I'll wrap it up, you stole my word relevant, so I'll say, I'll a little bit further than relevant, VMware is still the leader in enterprise infrastructure software. They're not letting that lead go. >> But just on that, the last thing, they're an infrastructure software company. I think they showed how they can be more than that in the future. >> And my take is, smart strategy playing out, now people are starting to realize the long game that Pat's been playing. It's showing up in the financial results, and there's clarity, and you can see the game playing out, you're starting to see there where they're going to position, so good job, guys, that's a wrap. Want to thank our sponsors. Without sponsors theCUBE would not be able to come for the three days of wall-to-wall coverage provided to the community. We get great support from the folks on Twitter, we get support from the folks who watch the videos, want to thank you for watching, and also the sponsors, VMware, Hewlett Packard Enterprises, Dell EMC, IBM, OVH, CenturyLink, Datrium, Densify, Druva, Hitachi, INFINIDAT, Kamarino, NetApp, Nutanix, Red Hat, Rackspace, Rubrik, Skytap, Veeam and Zadara Storage. Thanks to all the 20 sponsors that we can go out and bring our best stuff here. Really appreciate your support. Thanks for watching theCUBE. This is a wrap from VMworld, thanks guys, thanks everybody here, and that's a wrap for VMworld 2017, thanks for watching.

>> 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)

>> Announcer: Live from Las Vegas, it's The Cube covering HPE Discover 2017. Brought to you by Hewlett Packard Enterprise. (techno music) >> Welcome back, everyone. We're here live in Las Vegas for theCube's exclusive three days of coverage of HPE Discover 2017. This is SiliconANGLE's flagship program. We go out to the events and extract the signal from the noise. I'm John Furrier, and my cohost, Dave Vellante. Partner in crime here. Our next guest is Ana Pinczuk, Senior Vice President, General Manager, HPE Pointnext, the new organization >> Ana: That's correct. Yeah. >> John: Anyways, welcome to theCube. Good to see you again. >> Thank you. Really nice to see you as well. Yeah, excited to be here with you guys. >> Cube alumni also. Part of the Grace Hopper Community as well with women in tech. Great work there. Just want to give you props. >> Ana: Thank you, yeah. >> Shout out there. Okay, so you're in the new job here. You're a seasoned veteran. >> Ana: Yes. >> You know the industry. Your thoughts? I mean, you're coming in fresh. >> Ana: Yeah, I'm coming in fresh. So, first of all, three whole months here, you know. So, it's been kind of a whirlwind since we came onboard. We announced the new brand. So HP Pointnext is the new brand for really our future-facing services organization, right. And we've got this great opportunity, you know? We've got customers that are really undergoing tremendous digital transformation, right, and they need help, and we're the arm of HP that can really help them through that journey. All the way from sort of advice and transform services, professional services, like design and implementation services, and then when we go to operational support services as well, so. >> John: One of the things that Meg Whitman was talking about, I want to get your thoughts and reaction to, is, she said it's a cleaner positioning with HPE now. Because the partner relationships have always been center. We had the Chief Channel Officer on earlier, Denzel. 70 percent of the revenues comes from partners. >> Ana: That's right. >> And so, having Pointnext the way it's structured makes it cleanier. What is she-- Cleaner, for everyone to understand what's happening. What does she mean by that? And give us your perspective. >> Ana: Yeah. Well, I'll give you, you know. Look, before, we had a huge outsourcing business, right. And with the DXC business moving off, we've got the opportunity to really partner with the Accentures, the DeLoyds, the WhitPros, the Tatas of the world, right? We provide mostly technology services, so, to the extent that they go and they help customers with applications and really figuring out their business processes, then we come together with them and then figure out how to translate that business architecture to the technology architecture and then how to do that technology road map for them, right. So, um, it's really positioned us much closer to different kinds of SI's, both sort of the traditional SI's as well as other ecosystem partners. And today, I mean, if you think about mostly every vertical is transforming, right, so. Whether you're in retail or transportation, et cetera. And frankly with DXC, you know, really going off focusing on outsourcing, we're still a huge partner of theirs, you know. They're a customer of ours. But at the same time, it opens up huge opportunities to go after other verticals and other solutions as well. >> Dave: Yeah, it's kind of a strange TAM expansion for the core of Hewlett-Packard Enterprise. >> Ana: Yeah, it is. >> You sort of concede the outsourcing business. Okay, we're out of that business. >> Ana: That's right. >> But now you've got so many other partners that really could boost your core business. >> Ana: Yeah. And, you know, um, I mean. Nobody owns advise and transform, right? I mean, nobody owns the whole digital transformation journey. The opportunity there greatly, sort of, outweighs the constraints that we have in that space, right. And so, you know, it's really important for us to go with the Accentures or the Deloyds, other partners, and be able to come with them and provide those solutions to customers. >> John: Ana, I'd like to get your thoughts on the trend and the particular question if it's going to be around the cloud transformation, which is the driver. You got big data, you've got IOTs, you have, obviously you have your hybrid IT solutions here, but, you know, cloud computing in general and big data point to a new set of applications. Dave and I always comment on theCube as we go to all these different events that we're old enough to remember the 80's and 90's. >> Ana: You're not that old. >> The 80's and 90's, the ERP generation. The mini computer was a massive opportunity for service providers. >> Ana: That's right. >> You know you had the big six accounting firms back in the day. Now you have thousands of partners. That was a big movement. That was a big wave. >> Ana: It is. >> This wave is almost bigger than that, but different. >> Ana: It is. >> What's different now as the new apps come out? >> Ana: Yeah. >> John: And we've seen this movie before in a way. >> Ana: Yes. >> John: With the ERPs of the world and CRMs. >> Ana: Yeah. >> John: What's different now with cloud that makes this bigger, and what's your thoughts on this opportunity? >> Ana: Well, I think, two things for me. One is-- In fact, over the last couple of days, we've been talking to a lot of customers about not what I would consider traditional, but even S, you know, SAP HANA, right? And those migrations. Those are like, a little bit like, still the old wave, you know. With new, sort of a new flavor to it as people go more into big data and analytics as well. But the biggest thing is that, you know, think about the world of the future. Everything's going to communicate with everything else. Everything is going to compute, right? And so, you know, the patterns of communications are really shifting, you know, as well. It used to be very data center, centric, and those traditional models, or the old IBM models of the 80's, right. >> John: Big iron, all the-- >> Ana: Big iron, everything in the servers and the data center. But think about, you know, your toaster talking to you, you know. Think about smart meters out there. Think about your car being really a roaming, you know, office and entertainment center, right. >> John: Yeah. >> So I think that's what's really shifting. It's just the magnitude of data that's going to be, you know, computable, in a sense, at the edge, and that's really helping us think about whole new different applications that we didn't have, you know, back then. >> Dave: So cloud is obviously this huge megatrend, and everybody, I think Hewlett-Packard Enterprises included, is trying to substantially mimic the cloud experience on-prim, create hybrid. And it seems like you're having a great deal of success there, at least early, some early wins. The other component of that is the business model side of things. >> Ana: Yes. >> The whole as a service piece of it. >> Ana: Yes. >> And as you transition into that, you know, cloud-like world, what happens on the business model side? I mean, we've heard a lot about flex capacity and things of that nature, but it feels like the services business can transform dramatically into that model. I wonder if you can comment on that. >> No, it's true. I mean, just think about it. In the more traditional world, we've been mostly a product company with sort of services attached. You know, you sell a hardware box and you attach support to it and some installation services. We're completely shifting the model, right? So we're really services led and hardware attached, right, of the model going forward. And, so that's one thing that's shifting. And then the business models are really outcome based. You know, so, I'll give you an example. You know, I was talking to a customer, in fact, earlier this morning, about providing retail store as a service. That's a very different model, right. That means that we're looking at the whole architecture for them. We're looking at what value constitutes in a retail store. You know, how do they make money. What that outcome should be, right. Then how do you deliver that as a solution on a per, you know, something basis. Per outcome basis. So completely shifts the way that we think about delivering services. >> Dave: And so has it become services as a service? I mean do you go to-- >> Ana: I call it-- Yeah, I mean, I've been calling it, you know, experience as a service, and it is service as a service or outcome as a service. I mean, in a sense what the customer cares about is the value that they get out of that thing that you delivered to them, right. And so-- >> John: It's important to them. >> It's important to them. >> John: It's their business. >> I think, that's their business. That's what they care about. You know, I'll give you an example. Data is so important. Backing up your data is really important. But what the customer cares about is not whether they have back up, but it's whether the back up actually worked, you know. >> Dave: And can I recover. >> Ana: And can I recover from it, restore it, right. And so, when you think about that, you know, experience as a service. The experience is, gees, you know, that I get my data backed up and can I restore or recover from it. And then that becomes the outcome that they want. >> John: Which is the digital transformation. I mean, digital transformation has been around for awhile. It's been that buzzword. Certainly center stage here. But you're talking about business transformation. You're talking about really changing how companies are doing business. >> Ana: That's correct. >> John: Chop line revenue driven by digital services or digital apps or-- >> That's right, that's right. >> John: Interfaces, experiences. Whether it's feeling good or actually delivering something. >> Ana: That's right. And, you know, what's happening. I mean, think about the retail store of the future, right. I mean, you know, you have, you have a teenage daughter or a teenage son as I have. You know, you want to make it really interesting for them to go into a store and have a different kind of experience, right? And so, you know, location based services, all these, all these things that you can enable in terms of, you know, helping them buy new things or getting, you know, I don't know, some sort of discount when they go into the store. Or really seeing what it looks like when it's on. You know, those are the experiences of the future that are going to make that retailer relevant, you know, especially moving on. >> John: Well, we're going to have my daughter-- She's down in the front desk. She's interning for us. She's a Berkeley student. Say hi to her. She's going to come in and tell us about what she thinks of HPE as a youngster. >> Ana: Oh, good. >> John: But more importantly, this is a big trend. I mean, we're seeing-- I want to talk about the women in tech piece of what you're involved in because, you know, we were having a conversation at dinner two nights ago that, you know, people consume technology, whether they're the end user, and that word to even exist. End user, or consumer. >> Ana: That's right. >> End user isn't even a word anymore. >> Ana: Isn't that, yeah-- Who is that? >> John: Who do we call end user? >> Ana: I know. Or end thing. >> John: But people who are-- >> Ana: In the future. >> We're all connected, right? >> Ana: That's right. >> So, so this makes up this-- 50 percent of the population's women. >> Ana: That's right. >> And they're not making the products as much, so the percentage of women in tech is a big issue. I know you're, you're involved with Grace Hopper. >> Ana: Yes. >> Your thoughts on women in tech, because we need more women building products or being involved in the design or something. >> Ana: Yeah, yeah. It's a great, as you know, a great passion area for me. And we've got about-- You know, if you think about computing, we've got about 17 percent or 18 percent of the graduates come out in computer science, right. But if you think about technology in general, you know, because everything is going to be digital, because everything is going to compute, you now have, for example, women that are going into tech that have, sort of, a real different variety of backgrounds, right? I mean, they could be designers, because your fabrics are going to be, sort of, lit up with, you know, with sensor technologies. Your knees will be, you know, will have capabilities that are computational. You know, so. What we're seeing is the opportunity to open up the space for women because some of the things that are out there that are going to be technology are going to be much more interesting generally to, to women. >> John: So if I get this right, you're saying is that it's, "Okay, we want more people, more women in software." Except that's not the restriction. It should be computer science, now, is broader. >> Ana: That's right. >> John: And in analytics, I mean, we see a lot of women who are crushing it and being great data scientists. >> Ana: That's right. >> Bring some creativity to it or expertise. >> Dave: In that stat, you said 17 percent with a degree and a small, a much smaller percentage actually enter the technology field, correct? >> Yeah, you know, yeah. What happens, I mean, especially, we get about 17 to 22 percent or so that enter the technology field, but then many of them don't stay. You know, especially those, you know-- There's attrition as you go up the, up the chain as well. >> Okay, so maybe this new dynamic >> Ana: Yeah. >> Changes that. >> Ana: Yeah, well, I mean, I think the kinds of degrees that people are getting. You know, every degree will have a technology aspect to it, right? You're in textiles or you're in, you know, design. >> John: Healthcare. Science, everywhere. >> Or you're in healthcare. And, you're in-- Yeah, you know, you're a doctor, you're a lawyer. Every degree will have an aspect of tech, that means, frankly, that we as a tech industry have to open up the kinds of people that we attract, right? We've got to look for, not just computer science people, but people that understand business processes. You know, people that understand industry verticals, because digital's going to all these different, sort of, you know, places. >> John: And you're an inspiration. Thanks for all that work. And we agree. Science is everywhere now. >> Ana: Yeah, that's right. >> And whether it's block chain or some sort of medical breakthrough, >> Ana: That's right. >> You don't have to be a hardcore programmer. >> Ana: That's right, that's right. >> Ana, thanks so much for coming on theCube. Really appreciate you sharing your insight. >> Thank you. Thanks for having me. >> John: Congratulations on the new opportunity. >> Yeah, appreciate it. >> John: And Pointnext is, points to what's next. >> The place to be. That's right. As I try to tell people. (laughter) >> John: It's like dabbing and pointing at the same time. Thanks so much, really appreciate it. >> Ana: Thank you so much. >> John: I'm John Furrier, Dave Vellante, live coverage of HPE Discover 2017. Our 7th year covering HP Discover, now HPE Discover in it's 2nd year. Be right back with more live coverage after this short break. (upbeat music)

>> 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 are here live in Las Vegas for the Cube's exclusive coverage, three days of HPE, Hewlett Packard Enterprises Discover 2017. I'm John Furrier. My co-host Dave Vallente. Seven years of coverage, in our seventh year, and of course, we've had many guests on over those years. And our next guest has been on every year. Steven Deitch, Vice-President Worldwide Service Provider Business. Great to see you. >> Good to see you. >> Seven year Cube alumni. You've been on every year. >> That's right. >> Great to see you. >> Good, just getting older. (laughing) >> And smarter. >> Co-Host: I think we started at VM World. >> We did, way back. >> Yeah, yeah, at Barcelona, I think you were on at Barcelona. We had no live. Alot's changed. I mean, what's up with you right now? Before we get into some of the historical on where we've been and where we're going, what's happening for you in the news here at HPE Discover? What's the big story? >> Well, you know, the headline, and what Meg and Antonio and everybody else have been talking about, is HPE strategy core belief's vision, which revolves around three elements. Making hybrid IT simple. Powering the Edge and then the expertise that goes along to bring that all together. My focus is really around that hybrid IT portion. Hybrid IT is pervasive, on prem, off prem, traditional IT, private cloud, sorry, public cloud. And customers are increasingly moving to that model given the value that they see, of optimizing their IT environment and sticking workloads or sourcing applications from the best execution venue. My personal focus right now is around the service providers that will deliver the off-premise element of HPE's hybrid strategy going forward. Because we made some very clear decisions that we weren't going to do that anymore. We had a public cloud before, that we decided to shut down. With the spinoff of enterprise services, that leaves us dependent, or actually embracing partners to deliver all of that consumption-based off-premise service element. >> I mean, a lot's changed, I mean, the elephant in the room is, obviously, the decline in people buying boxes and, or hardware, peddling hardware, but IT's not declining. IT's shifting. The services model is interesting. Service provider roles are changing. You know, anyone who's in the SAAS businesses, enterprises having SAAS products that they offer their customers. In essence, a traditional enterprise buying data center hardware and software from HPE is now providing a service to their customers. >> Steve: That's right. >> With digital. >> Steve: That's right. >> This is the digital transformation. How does that shift? How do you guys talk to customers now? Because now, the service provider definition has increased. Enterprises have, maybe a portion of traditional enterprise, but also now service provider component. How do you guys talk to customers? 'Cause this is truly where the business transformation is hitting the road. How do you guys talk to customers about this trend? >> Well, let's start at, you mentioned a digital transformation. At the end of the day and in simple terms, it's entities utilizing digital technologies to improve the experience of their constituents, partners, customers, employees, processes, systems, and so forth. Hybrid IT ultimately is one of the enablers behind the digital transformation. We're extremely passionate about that because you're right, that's where everybody's going whether you're small in the market, you're mid, you're a large enterprise, or you're a service provider. You're going through your own transformation as you go forward to be able to deliver against that digital transformation process. >> You said before we're kind of reliant on, then you sort of amended that and said embracing the cloud. In fact, if you don't have a cloud strategy today, you're toast. You are relying on your partners for a big part of that strategy. It's not just Azure. It's not a one trick pony. Can you talk about sort of beyond the big partner, what you're doing to differentiate within that next tier and how they're differentiating from the big guys like AWS. >> Right, and you're absolutely right. We firmly believe the world's going to be multi-cloud so certain work loads will stay in the data center, certain will be private cloud in the data center, others will move to managed private cloud, off premise. Then others will make a lot of sense to go to a hyper-scale provider like Amazon, Azure or Google. You want the best execution venue for that application or workload. It makes all the sense in the world. That's what we call, and you've heard us talk about this before, the right mix. As customers look to where they're going to put those workloads we're working with service providers below those big hyper-scale, big gorillas, to project or deliver value that the hyper-scale providers can not. Everything is not going to go to Amazon. It's a fact. >> It's not a winner take all game. >> It's not a winner take all. The world is way too diverse. Diverse workloads, diverse geographies, diverse business requirements. The way we look at it and we embrace the service provider's below the gorillas, we want to collectively go after opportunities that the hyper-scale providers can not deliver on. It really revolves around three things that we believe, we collectively, but more importantly those service providers should be able to do. One is embrace customer complexity. Go beyond simple services. Full stack SOAs. Drive digital transformations. Embrace customer intimacy. The big gorillas, they have a very broad set of services, very rich set of services, but when it comes time to intimacy and customization, you're not going to go there. A lot of customers remember 98% of the value in the market today is still traditional apps. Number two is geography. We all know that the big boys are in about 15 or 16% physical countries today. There's still 200 countries that don't have a physical presence and when you look at data resonancy, data privacy and so forth, or even performance in latency, you still need that physical presence. Even in the countries where the big hyper-scale providers are, you still need the girth of resources. Technical, sales and so fort and sometimes that's missing. Enterprise customers and mid-market customers want to embrace that. Finally, you know this as well as everybody else, and you made that point before, as customers evolve to hybrid, they have to manage that environment. The combination of on-prem, let's call it Tier 2/Tier 3 service providers, and then the AWSs and the Azures and the Googles of the world. That's a challenge. That's a big challenge to be able to manage that hybrid environment. The service providers that we're working with, we want them to be that hybrid manager, we want them to be that broker in order to mitigate the risk, determine the best execution venue and really deal with the challenges that these guys are going, including cost, time, and skill sets. >> If I could follow up on that in terms of the sustainability of those three differentiators. Complexity, I think you're okay. I think IT just keeps getting more and more complex. The GEOs, maybe slowly over time that changes, but your point is the local resources is probably not something that the big guys are going to put in place any time soon. Belly to belly. It was interesting to hear the CEO of Wipro talk about hyper automating, but we're still decades away from eliminating all the people required. Managing multi-cloud. That seems to be a big one that is a white space right now that nobody has really cornered. >> John: Huge. >> It's not likely that any one of the businesses, Amazon's not going to own multi-cloud management. That's really not even their interest. >> John: That's single cloud. >> To me, number three is a multi-hundred billion dollar opportunity for the market and HP specifically. >> Absolutely. We go hard at all three of those and some are more defendable than others, the geography, you're absolutely right, but the resources will continue to be a challenge for folks. Number one and number three are clearly ways that our service provider partners can take advantage of opportunities that the hyper scale providers will not be able to. >> John: Why HP? >> Why HP? At the end of the day, we bring best of class technology, we bring best in class commercial models, we bring collaborative go to markets. By the way, we don't compete with our partners. I challenge folks to look at their existing vendors and ask those questions. Particularly if you're a service provider partner. Ask those questions to your existing vendors and ask them, why are you competing against me. We are very, I'll use the word clean. Strategy is very simple, very clean, we're not competing. >> John: No hair on those partnership deals. >> No hair. >> If you take out the big hyper-scalers, AWS, Google, and FaceBooks of the world, there's a big torso mid range market that you guys are going after. You didn't have competition. You're going to have all your normal competitors that we all know and talk about going after that same space. Differentiations are what you said. How are they approaching it? They're going to try and create fud around what you guys are doing and certainly this transformation market that we're in is kind of confusing. People now being more educated on the cloud which is a good thing. There's still no real definition of what multi-cloud is. Multi-cloud is happening. how are you guys competing directly with the competitors and how are you guys going to go in to win? >> I think, the fact that we're partner first and we already understand how partners function and what they need in the requirements, it sounds a little simplistic, but at the end of the day, you have a whole lot of service provider partners out there that are pure, but you have thousands of service providers and what they've done? They've evolved from being a traditional reseller or a solution provider, to adding a third business model of being a consume oriented service provider and the fact that we understand the journey that they've been on, the challenges that they go through, I will challenge our competitors to have that deep of insight that have not been channel friendly at all. >> Is that the big transformation? That third point you mentioned, is that the big change in the service provider transformation, is that that consumer focus?L >> It is because we all recognize the big service providers whether you're a big cloud service provider or a consumer service provider like an Uber or Spotify, or a Telco. Think about all of the service providers out there, let's call them, for the lack of a better word a hybrid partner. They have a resale business where they do transactions, they have a solutions business and then they have a consume business. Those are the ones that are actually capable of pulling off the differentiation. They can get intimate with the customer - >> John: They have specialism. >> They have specialism, they have professional services, they have industry insight and they understand their customers much better. >> The channel's turning into the customer for you guys in the way the partner first message - >> It's a different type of partner. Different type of partner. Absolutely. Those three swim lanes. We look at partners will either be in one, two, or all three of them. >> Steve, thanks for coming on the Cube again. Appreciate seeing you. Big takeaway from the show here, the transformations in full swing, the market's kind of going crazy with cloud and IOT. What's your big takeaway from this show this year? >> The clarity. The clarity and the focus that Hewlett Packard has and the fact that our partners and customers are really embracing it. That's the key message that I've heard from everybody. Everybody's super excited and there's a focus. I think maybe in the past, because we've been so big and so complex, but the fact of our skinning down, going in opposite directions as some of our competitors, that clarity will lead to execution excellence, I believe. >> Awesome. Stephen, thanks for taking the time. This is the Cube live coverage from HPE Discover 2017, our 7th year we're covering the transformation. More live coverage after this short break. Stay with us. We'll be right back.

>> Announcer: Live from Las Vegas, it's the CUBE covering HPE Discover 2017. Brought to you by Hewlett Packard Enterprise. >> Hello, everyone, and welcome to the CUBE's special presentation of HPE Hewlett Packard Enterprise Discover 2017. I'm John Furrier and my cohost Dave Vellante. For three days of wall to wall coverage. This is our intro section of our three days of Hewlett Packard Enterprises transformation and coverage. This is our seventh year covering HPE Discover, formerly HP Discover after the split. Lot of commentary today. We have seen HP over the years transform. We've been watching this, sort of a front row seat to HP, now HPE, really getting hammered in stock market their last earnings again didn't meet expectations, but this is not a quick turn around. I mean, this is a market place that's shifting. HP's had their plan now for multiple years. We're going to cover it for three days. But interesting. The world is turning. You had tweeted this morning on a Twitter storm you put together @dvellante, twitter.com. So it's Dvellante. Everyone should check it out. But it really highlights it. True private cloud, or private cloud, cloud has impacted everything. HP's kind of shifted their cloud strategy. It's becoming clear what they're doing, but private cloud, true private cloud, is legit. It's a 250 plus billion dollar market opportunity, as you guys have put it out on wikibond. Hybrid cloud is very relevant, and on the horizon is multi-cloud, the ability for customers to use multiple clouds. And on top of that we have machine learning, AI, and a myriad of things. Marketplace is shifting significantly, HP has been transforming significantly over the past five plus years. Your thoughts this year at HPE Discover and marketplace conditions and are they poised for success? >> Well, John, we're in the fifth year now of the turnaround that Meg Whitman initiated, and I think it's the light at the end of the tunnel year. HPE-- We've said many times at theCUBE that HP has the strength to grow. Well, it's certainly shrunk. They're about a 50 billion dollar company with a 26 billion dollar market cap, and there's a way to eek out some growth. If you separate all-- Call it Remain Co. Like the remaining company. Take out the software, take out EDS, take out actually tier one, tier one customer who's-- who's not buying as many servers as possible, or as they had previously, and the company grew about one percent. So what you're seeing, John, is some quarters HP grows a little bit, some companies it shrinks a little bit, but essentially it's facing what most legacy hardware companies are facing. Legacy hardware's down, everybody's scrambling to what we call true private cloud, which is essentially hybrid IT, trying to mimic the public cloud. And then HP adds in a dose of IOT at the edge, and then, really importantly, services. Services have never been more important for this company, and that is what I called earlier Remain Co. The remaining HP. Once it jettisons the software business this fall, that's what will be left, basically a 50 billion dollar company with about 55,000 employees. >> I was looking at a-- some IOT stories just last night, and a Business Insider article came up. It was an image, and it had listed the companies that-- by average age. And you had, obviously, Facebook, average age like 28. HP was at the highest end, like 39. And I want to bring up this notion of changing market because HP has always been customer focused, so the question is, if they are truly customer focused, as is Amazon, for instance, we talked to Andy Chasey, he talks about that all the time. And the context of where you've been and where you're going, historical legacy, declining markets, say servers for instance. And where you're going. It brings up an interesting point. And notable is recently Amazon web services hired Gosling, the founder of Java, which had a big conversation on the internet around age. A lot of the winners are older systems guys. So what's interesting is I actually look at that Business Insider article and saying actually age is a wisdom point now, because right now HP's got to solve customer problems. In addition to transforming themselves, they're looking at a customer base that's changing their requirements, so having experience is actually a good thing, as pointed out by some of the big leaders right now in hyperscale are old m systems guys. This is an opportunity for HP, and I think that's where I want to get your thoughts on. Are they customer focused in your mind, and if they are going to be, continue to be, what should their customer focus be? >> Let's talk about what customers are doing. So, first and foremost, customers are deinvesting in non-differentiated, you know, hardware maintenance and provisioning, okay. So they're shifting IT labor from provisioning luns and servers into digital transformation initiatives, so that's sort of one piece. The other pieces there as they're shifting those resources in places up the value stack. So it's applications; it's, as you say, digital transformation services; it's new IOT activity. So they're only investing-- from the HP standpoint, HP's an infrastructure company. They're only investing in infrastructure that looks like public cloud and can focus on hybrid. So are they customer focused? Yes. And what are they doing there? So they're investing in MMA, they're doing some MMA tuck ins. They're focused on develop-- delivering platforms with an API that are essentially programmable infrastructure. And very importantly, they're in a low margin business now. It's sort of low 30 percent gross margin business. So they have to get volume. How do they get volume? How do they reach those customers? Partners. So you are seeing a new partner emphasis. You know, are they customer focused? Yes, but they're really right now partner focused to reach those customers and increase their scale and coverage. That is a critical difference between the new HP, not that they always didn't have partners, now partners are critical to their success. >> One of the things that's the theme here is simplifying hybrid IT and I think from a customer standpoint, simplifying that is going to be critical. At the same time, creating new services opportunities. So I want to get your thoughts on the top story, at least from my perspective, here at the show at HPE Discover, and that is, is it better to be big or small? And HP has a strategy of a collection of small, nimble, agile business units. Dell EMC, for instance, has a strategy of being big and using leverage and supply chain and what not. Two different strategies. We pointed that out on the web. Certainly we've heard a lot of different approaches. Your thoughts on HP's strategy vis a vis bigger and better, or smaller and nimbler is better. >> Well, HP's not small. Hewlett Packard Enterprises is still big. I mean, it's a, it's a company that's twice the size, or more, than EMC was at its peak. So it's still a very, very large company. The difference is, John, I think they're focused. So they really are focused on hardware and infrastructure, the support, you know, the digital transformation, whatever you want to call it. The big question I have, John, is now that HP is getting rid of its software business, its outsourcing and EDS business, what is HP going to do with regard to software and services. So, they reinvented the whole services organization. The big question mark for me is software. Will they get into this, what you call inter-clouding business? Software to manage multiple clouds. It's a wide open space, everybody's going after it, and I haven't heard much from HP there. So what is their software strategy? Now, the other thing I'll add, is the good thing about being smaller is that it's going to generate cash for them. So they're going to get, going to get cash out of the spin merge with CSC. They're going to get cash out of the spin merge with MicroFocus. And you've already seen HP become more aquisitive with the Simplivity acquisition, certainly with Nimble recently, previously the Aruba acquisition, and some other tuck ins. That's critical in order for HP to reposition and continue to grow. >> Yeah, and my take on HP right now is they got to be more assertive. Their voice in the marketplace, at an industry level, has to be very assertive and relevant. I think that's something you've got to put the stake in the ground and hammer that home. I think we got the piece parts, and I think the spin merge is not a "they're getting out of that business." They're just decoupling from the monolithic entity that was HPE and creating kind of cohesive entities. And I think there's a strategy, in my opinion, that looks really strong there in the sense that, hey, at the end of the day, it's going to be a services game. And if you look at the IOT Edge, to me that's the tell sign of the marketplace. As the value shifts from IT-- So, simplifying IT, having true private cloud, having some hybrid pathways for IT, maybe a declining market from a service perspective, but simplifying that and operationalizing that and shifting the value to the Edge with services is a huge opportunity for HP. This is something that not a lot of people on Wall Street are kind of rocking at this point. But the value shift from IT, centralized IT, to a distributed kind of network effect is a really interesting play. And I think this a bet I think HP's making from my standpoint, and that's where the intelligent Edge piece comes in. If they could nail that, and layer on the services, and bring real value paths for customers with outcomes that are, not pie in the sky-- Sure, they throw some AI in there, machine learning, it's all relevant. Getting into open source. Taking that labs machine and memster technology and bringing that out at an appropriate timing. With the services in place. I think that's a good strategy for HP. >> Well, you mentioned Wall Street. Look, Wall Street is very tactically focused on the quarter and the margin decline, and, you know, D-Ram prices doubled in January, okay? So a company like HPE is going to get hurt by that. So that's head winds for these guys, these currency head winds. The stock, the price will go up and down. But the point I want to make, John, is there's a new competitive reality. CIOs have woken up to open source and cloud. And as a result, we've emerged into a new competitive dynamic where HPE is competing with Dell. It's competing with China, and it's competing with AWS. And it's one different-- Two differentiable advantages or services, you know, clearly HP's doubling down on services. I'll actually add a third. The second is partnerships, and the third big one, which is green field, is an ecosystem around IOT and what they call the intelligent edge. >> Well, Dave, great commentary. My, again, my feeling is customer focus at an industry level, having the right product mix that's relevant in the, for the solutions customers want. And also their partners. Leveraging that partner network. Really going to be a two pivot points for me. I see that as great leverage for HP. At the end of the day, everyone talking about declining market of servers and storage. I actually don't see that. There's more computers available now, more storage available. The key is can that shift to true private cloud, which again is a 250 billion dollar market, partly declining. And hybrid cloud is certainly growing. So, declining and growing, I mean they're all different perspectives, and I think HP's messaging here-- Come the end of the show, we're going to look at that and understand and impact and unpack that, that analysis. So, I'm Jeff Furrier, Dave Vellante. Day one of coverage, of three days of wall to wall coverage at HPE Discover 2017. More live coverage after this short break. (upbeat music)

>> Announcer: Live from Las Vegas, it's theCUBE. Covering HPE Discover 2017. Brought to you by Hewlett-Packard Enterprise. >> Okay, welcome back everyone. We're here live in Las Vegas for HPE, Hewlett-Packard Enterprise, Discover 2017. I'm John Furrier, co-host of theCUBE with Dave Vellante, and our next guest is Bill Philbin, who's the general manager of storage and big data for Hewlett-Packard Enterprise. Bill, welcome to theCUBE. Again, good to see you. I think you've been on since 2012, '13, '15. >> Is that right? What, are we carbon dating ourselves now or something? >> We've been tracking our CUBE alumni, but you're heading up the storage business-- >> Do I get a pen? >> We're working on that, Jerry Chen-- >> Seven of them >> Jerry Chen at Greylock wants to have, now, badge values. So, welcome back. >> Thank you, thank you for having me. >> You were just on theCUBE at VeeamON, which is an event Dave was hosting, I missed it in New Orleans. But a lot of stuff going on around stores, certainly. Virtualization has been around for a while, but now with Cloud; whole new ballgame. Programmable infrastructure, hybrid IT, Wikibond's true private Cloud report came out showing that private Cloud on Prim is $250 billion market. So nothing's really changing radically in the enterprise, per se, certainly maybe servers and storage, but people got to store their data. >> Bill: That's right What's the update from your perspective, what's the story here at HPE Discover? >> So I think there's really three things we're talking about amongst a number of announcements. One is sort of the extension of our All Flash environment for customers, who, as I was saying at Veeam, have the always-on. New world order is we expect everything to be available at a moment's notice, so I was in the middle of the Indian Ocean, using Google Voice over satellite IP on the boat, talking to San Jose, and it worked. That's always-on environment, and the best way to get that is, you know, with an All Flash [unknown], so that's number one. Number two, going back to the story about programmable infrastructures, storage also needs to be programmable, and so, if you've had Rick Lewis or Rick Lewis is coming he'll talk about composable infrastructures with Synergy, but the flip side of that is our belief that storage really needs to be invisible. And the acquisition of Nimble gets us a lot closer to sort of doing that in the same way that you have a safe self-driving car is all the rage. All that rich telemetry comes back, it's analyzed, fingerprinted, and sent out to customers to a point where it's, I call it the Rule of 85. 85% of the customers, the cases are raised by InfoSight and closed by InfoSight, and they have an 85 net promoter score. We're getting to a point where storage can be invisible, cause that's the experience you get on Amazon or as you swipe your credit card, say I want ten terabytes of storage, and that's the last time you have to think about it. We need to have the economics of the web, we need to have the programmability of the web, that's number two, and number three of what we talked about, and this is a big issue, a big thing we talked about with VeeamON, was data protection. The rules of data protection are also changing. Conventional backup does not protect data. I was with a customer a couple weeks ago in London. 120 petabytes; this is a financial services customer now. 120 petabytes of storage: not unusual. 40 of it was Hadoop, and they were surprised because it's unprotected, it's on servers, it's sort of the age of the client-server, and the age of Excel spreadsheets all over again. We realized that most businesses were running on Excel, so All Flash, a different way of supporting our customer support experience, and number three, it's all around how do you protect your data differently. >> What's the big trend from your standpoint, because a lot of that self-driving storage concept, or self-driving car analogy, it speaks to simplicity and automation. >> That's right >> The other thing that's going on is data is becoming more irrelevant, certainly in the Cloud. Whether that's a data protection impact or having data availability for Cloud-native apps, or in memory, or all kinds of cool stuff going on. So you got to lot of stuff happening, so to be invisible, and be programmable, customer's architectures are changing. What's the big trend that you're seeing from a customer standpoint? Are there new ways to lay out storage so that they can be invisible? Certainly a lot of people were looking at their simplification in IT operationally, and then have to prepare for the Cloud, whether that's Multicloud or hybrid or true private Cloud. What architects are you seeing changing, what are people doubling down on, what's the big trends in storage, kind of laying out storage as a strategy? >> So I think the thing about storage in the large, one of the trends obviously that we're seeing is sort of storage co-located with the server. When I started at HP now seven years ago, gen six to gen ten, which we've announced here at this show, the amount of locally attached storage in the box itself is massive. And then the applications are now becoming more and more responsible for data placement, and data replication. And so, even while capacities are growing, I think six or seven percent is what I saw from the latest IDC survey, the actual storage landscape, from a shared storage company, they're actually going down. And the reason is, application provisioning, application-aware storage is really the trend, that's sort of number one. Number two, you see customers looking at deploying the right storage for the right applications. hyperconverge with SimpliVity's a really good example of that, which is they're trying to find the right sort of storage to sort of serve up the right application. And that's where, if you're a single-PoINT provider company now in storage, and you don't have a software-only, a hyperconverge, an All Flash in a couple different flavors, including XP at the top, you're going to find it very, very difficult to sort of continue to compete in this market, and frankly, we're driving a lot of that consolidation, we put some bookends around what we're prepared to pay for. But if you're a PoINT providing storage company now? Life is a lot harder for you than it was a couple years ago. When we started with All Flash, I think it was like 94 All Flash companies. There are not 94 All Flash companies today. And so, I think that's sort of what we see. >> Well, to your point about PoINT companies are going to have a hard time remaining independent, and that's why a lot of 'em are in business to basically sell to a company like yours, cause they fill a need. So my question relates to R&D strategy. As the GM, relatively new GM, you know well that a large company like HPE has to participate in multiple markets, and in order to expand your team, you have to have the right product at the right time. One size does not fit all. So the Nimble acquisition brings in a capability at the lower end of the market, lower price spans, but it also has some unique attributes with regard to the way it uses data and analytics. You've got 3PAR Legendary at the high end. What's the strategy in terms of, and is there one, to bring the best of both of those worlds together, or is it sort of let 20 flowers bloom? >> So, I don't know if it's going to be 'let 20 flowers bloom', but I would probably answer a couple different ways. One is that InfoSight, you're right, is unique value proposition, is part of Nimble. I would bet if I come see you in Madrid, if you have me back for the, whatever, 13th time, [Laughing] that we'll be talking about how InfoSight and 3PAR can come together. So that's sort of the answer to number one. The answer to number two is, even though within the Nimble acquisition, one party acquired the other party, what we're really looking at is the best breed of both organizations. Whether that's a process, a person, a technology, we don't feel wedded to, "Just because we do it a certain way at HP, that means the Nimble team must conform." It's really, "Bring us the best and brightest." That's what we got. At the end of the day, we got a company, we got revenue, but we got the people, and in this storage business, these are serial entrepreneurs who have actually developed a product, we want to keep those people, and the way you do that is you bring 'em in and you use the best and greatest of all the technologies. There's probably other optimizations we'll look at, but looking at InfoSight across the entire portfolio, and one day maybe across the server portfolio, is the right thing to do. >> And just to follow up on that, Tom, if I may, so that's a hard core of sort of embedded technology, and then you've got a capability, we talk about the API economy all the time. How are you, and are you able to leverage other HPE activities to create infrastructure as code, specifically within the storage group? >> So if you look at us, at our converged systems appliances like our SAP HANA appliance, databases greater than six terabytes, we have 85% market share at Hewlett-Packard. And the way we do that, and that's all on 3PAR by the way, and the way we do that is we've got a fixed system that is designed solely to deliver HANA. On the flip of that, you have Synergy, which is a composable programmable infrastructure from the start, where it's all template-based and based on application provisioning. You provision storage, you provision the fabric, you provision compute. That programmable infrastructure also is supported by HP storage. And so, you have-- You can roll it the way you want to, and to some degree I think it's all about choice. If you want to go along, and build your own programmable infrastructure and OpenStack or VCloud Director, whatever it is, we have one of those. If you think simplicity is key, and app and server integration is important part of how you want to roll it out, we have one of those, that's called SimpliVity. If you want a traditional shared storage environment, we have one of those in 3PAR and Nimble, and if you want composable we have that. Now, choice means more than one, I don't know what it means in Latin or Italian, but I'm pretty sure choice means more than one. What we don't want to do is introduce, however, the complexity of what owning more than one is. And that's where things like Synergy make sense, or federation between SerVirtual and 3PAR, and soon we'll have federation between Nimble and 3PAR. So to help customers with that operational complexity problem, but we actually believe that choice is the most important thing we can provide our customers. >> I've always been a big fan of that compose thing, going back a couple years when you guys came and brought it out to the market. We're first, by the way, props to HP, also first on converged infrastructure way back in the day. I got to ask you, one of the things I love doing with theCUBE interviews is that we get to kind of get inspiration around some of the things that you're working on in your business unit. Back in 2010, Dave and I really kind of saw storage move from being boring storage, provisioning storage, to really the center of the action, and really since 2010 you've seen storage really at the center of all these converging trends. Virtualization, and hyperconverges, all this great stuff, now Cloud, so storage is kind of like the center point of all the action, so I got to ask you the question on virtualization, certainly changed the game with storage. Containerization is also changing the game, so I was telling some HP Labs guys last night that I've been looking at provisioning containers in microseconds. Where virtualization is extending and continuing to have a nice run, on the heels of that we got containerization, where apps are going to start working with storage. What's your vision and how do you guys look at that trend? How are you riding that next wave? >> It all comes down to an application-driven approach. As we were saying a little earlier, our view is that storage will be silent. You're going to provision an application. That's really the-- see, look at the difference between us and, let's say, Nutanix with SimpliVity. It's all about the application being provisioned into the hyperconverged environment. And if you look at the virtualization business alone, VMware's going to have a tough go because Hyper-V has actually gotten good enough, and it's cheaper, but people are really giving Hyper-V a much better look at than we've seen over the course of the last couple years. But guess what? That tool will commoditize, and the next commoditization point is going to be containers. Our vantage point, and if you look at 3PAR, you look at Nimble, we're already got it, we've already supported containers within the product, we've actually invested companies that are container-rich. I think it's all about, "What's the next--" >> And we at Dacron last year said, "We know you're parting with all the guys." But this is a big wave. You see containers as-- >> I see containers as sort of the place that virtualization sort of didn't ever get to. If you look at-- >> John: Well, the apps. >> On the apps absolutely, positively. And also it's a much simpler way to deploy an application over a conventional VM. I think containers will be important. Is it going to be important as the technology inflection point around All Flash? >> John: Flash is certainly very-- >> That I don't know, but I think as far as limiting costs in your datacenter, making it easier to deploy your applications, et cetera, I think containers is the one. >> What's the big news here, at HPE Discover 2017, for you guys? What's the story that you're telling, what's going on in the booth? Share some insight into what's happening here on the ground in Las Vegas from your standpoint. >> So I would say a couple of things. I think if you look out on the show floor, it seems more intimate and smaller this year. And there's a lot of concern, I think, that HP is chopping itself off into various pieces and parts, but I think the story that maybe we're not telling well enough, or that it gets missed, is out of that is actually a brand new company called Hewlett-Packard Enterprise, which is uniquely focused on serving enterprise infrastructure customers. And so I think, if I was going to encourage a news story, it's about the phoenix of that, and not the fact that we've taken the yes guys, and the software guys, and the PC guys. It's that company, maybe in Madrid we'll do this, and that company, that's really, really, really exciting. And as you said, storage; sort of in a Ptolemy versus Galileo approach. We believe everything, first of all, revolves around storage. We don't believe in Galileo. So if you look in here at the booth, we've announced the next generation of MSA platforms of 2052, we've got the 9450 3PAR -- three times as fast, more connectivity for All Flash solutions. We've talked about the secondary Flash array for Nimble, most effective place to protect your data is on an array, is on a type where the data came from, and that is the secondary Flash market. We're big into Cloud, we've talked about CloudBank here, which is the ability to keep a copy of your store-once data in any S3-compliant interface, including Scality. I don't know if I'm forgetting, I'm sure I'm forgetting something. >> John: There's a lot there. >> There's a lot there. >> I mean, you guys, I love your angle on the phoenix. We've been seeing that, we've been covering seven years now, and it is a phoenix. And the point that I think the news media is not getting on HP, there's a lot of fud out there, is that this is not a divested strategy. There's some things that went away that were the outsourcing business, but that was just natural. But this is HP-owned, it's not like it's like we're getting out of that, it's just how you're organizing it. >> And with a balance sheet that now is really a competitive weapon, if you will, you're going to see HP both grow organically and inorganically, and I think as the market continues to consolidate, the thing to remember also is there's fewer places to consolidate to. And so if you're a start-up, there's a handful of companies that you can go to now, and probably the best-equipped, right-sized, great balance sheet, great company, is Hewlett-Packard Enterprise. >> Well we had hoped to get Chris Hsu on, but I've always said the day we talk about the debates on management style, but I've always been a big believer as a computer science undergraduate, decouple highly cohesive strategy is a really viable one, I think that's a great one. >> Yeah, and there's still a good partnership with DXC, there'll be a great partnership with Micro Focus, and there's both financially as well as from a business perspective. But it's really an opportunity to focus, and if I was at another company, I would wonder whether or not if their strategy continues to be appropriate. >> Bill Philbin, senior Vice President and general manager of storage and big data at Hewlett-Packard Enterprises, theCUBE more live coverage after the short break. From Las Vegas, HPE Discover 2017, I'm John Furrier with Dave Vellante with theCUBE, we'll be right back after this short break.