>>Yeah. Okay. Now we're going to dig deeper into HP es moral and try to better understand how it's going to impact customers. And with me to do that are Robert Christensen is the vice president strategy in the office of the C, T. O. And Kumar Srikanth is the chief technology officer and head of software both, of course, with Hewlett Packard Enterprise. Gentlemen, welcome to the program. Thanks for coming on. >>Good seeing you. Thanks for having us. >>Always. Great. Great to see you guys. So, Esmeralda, kind of a interesting name. Catchy name. But tomorrow, what exactly is H P E s bureau? >>Yeah. It's indeed a catchy name. Our branding team done a fantastic job. I believe it's actually a derivation from Esmeralda. The Spanish for Emerald Berlin. Supposed to have some very mystical powers. Um, and they derived as moral from there, and we all actually, initially that we heard it was interesting. Um, so as well was our effort to take all the software, the platform tools that HB has and provide these modern operating platform to the customers and put it under one brand. It has a modern container platform. It has a persistent stories distribute the date of February. It has been foresight, as many of our customers similar, So it's the think of it as a container platform offering for modernization of the civilization of the customers. >>Yeah, it's an interesting to talk about platform, so it's not a lot of times people think product, but you're positioning it as a platform, so it has a broader implications. >>That's very true. So as the customers are thinking of this civilization, modernization containers and microservices, as you know there has become, has become the stable whole. So it's actually a container orchestration platform. It offers open source proven. It is as well as the persistence always bolted to >>so by the way, s moral, I think emerald in Spain, I think in the culture it also has immunity powers as well. So immunity >>from >>lock in and all those other terrible diseases. Maybe it helps us with covid to rob Robert. When you talk to customers, what problems do you probe for that that is immoral. Can can do a good job solving. >>Yeah, they That's a really great question because a lot of times they don't even know what it is that they're trying to solve for, other than just a very narrow use case. But the idea here is to give them a platform by which they can bridge both the public and private environment for what to do an application development specifically in the data side. So when they're looking to bring Container Ization, which originally got started on the public cloud and has moved its way, I should say, become popular in the public cloud and has moved its way on premises. Now Esmeralda really opens the door to three fundamental things. But how do I maintain an open architecture like you're referring to some low or oh, no lock in of my applications And there were two. How do I gain a data fabric or data consistency of accessing the data so I don't have to rewrite those applications when I do move them around and then, lastly, where everybody is heading down, the real value is in the AI ML initiatives that companies are are really bringing that value of their data and locking the data at where the data is being generated and stored. And so the is moral platform is those multiple pieces that I was talking about stacked together to deliver those solutions for the client. >>So come on, what's the How does it work? What's the sort of I p or the secret sauce behind it all? What makes HP different? >>Continuing our team of medical force around, uh, it's a moral platform for optimizing the data Indians who were close. I think I would say there are three unique characteristics of this platform. Number one is actually provides you both an ability to run stable and stateless were close under the same platform, and number two is as we were thinking about. Unlike analogues, covenant is open source. It actually produce you all open source government as well as an orchestration behind you. So you can actually you can provide this hybrid, um, thing that drivers was talking about. And then actually we built the work flows into it. For example, we're actually announced along with Esmeralda MLS, but on their customers can actually do the work flow management. Our own specifically did the work force. So the magic is if you want to see the secrets of is all the efforts that have been gone into some of the I p acquisitions that HBs the more years we should be. Blue Data bar in the nimble emphasize, all these pieces are coming together and providing a modern digitalization platform for the customers. >>So these pieces, they all have a little bit of a machine intelligence in them. Yeah, People used to think of a I as the sort of separate thing, having the same thing with containers, right? But now it's getting embedded in into the stack. What? What is the role of machine intelligence or machine learning in Edinburgh? >>I would take a step back and say, You know this very well. They're the customer's data amount of data that is being generated, and 95% or 98% of data is machine generated, and it has a serious amount of gravity, and it is sitting at the edge, and we were the only the only one that edge to the cloud data fabric that's built. So the number one is that we are bringing computer or a cloud to the data. They're taking the data to the cloud like if you go, it's a cloud like experience that provides the customer. Yeah, is not much value to us if we don't harness the data. So I said this in one of the blood. Of course, we have gone from collecting the data era to the finding insights into the data so that people have used all sorts of analysis that we are to find data is the new oil to the air and the data. And then now you're applications have to be modernized. And nobody wants to write an obligation in a non microservices fashion because you want to build the modernization. So if you bring these three things, I want to have a data. Gravity have lots of data. I had to build an area applications and I want to have an idea those three things I think we bring together to the customs. >>So, Robert, let's stay on customers from it. I mean, you know, I want to understand the business impact, the business case. I mean, why should all the you know, the cloud developers have all the fun? You mentioned that you're bridging the cloud and on Prem, uh, they talk about when you talk to customers and what they are seeing is the business impact. What's the real drivers for them. >>That's a great question because at the end of the day I think the reason survey that was that cost and performance is still the number one requirement for the real close. Second is agility, the speed of which they want to move. And so those two are the top of mind every time. But the thing we find in as moral, which is so impactful, is that nobody brings together the silicon, the hardware, the platform and all that stacked together work and combined, like as moral does with the platforms that we have and specifically, you know, when we start getting 90 92 93% utilization out of ai ml workloads on very expensive hardware, it really, really is a competitive advantage over a public cloud offering which does not offer those kind of services. And the cost models are so significantly different. So we do that by collapsing the stack. We take out as much intellectual property, give me, um, as much software pieces that are necessary. So we are closest to the silicon closest to the applications bring into the hardware itself, meaning that we can inter leave the applications, meaning that you can get to true multi tendency on a particular platform that allows you to deliver a cost optimized solution. So when you talk about the money side, absolutely. There's just nothing out there and then on the second side, which is agility. Um, one of the things that we know is today is that applications need to be built in pipelines. Right? This is something that has been established now for quite some time now. That's really making its way on premises. And what Kumar was talking about was, how do we modernize? How do we do that? Well, there's going to be something that you want to break into Microservices and containers. There's something you don't now the ones that they're going to do that they're gonna get that speed and motion etcetera out of the gate. And they can put that on premises, which is relatively new these days to the on premises world. So we think both will be the advantage. >>Okay, I want to unpack that a little bit. So the cost is clearly really 90 plus percent utilization. I mean, come on. You know, even even a pre virtualization. We know what it was like even with virtualization, you never really got that high. I mean, people would talk about it, but are you really able to sustain that in real world workloads? >>Yeah, I think when you I think when you when you make your exchangeable currency into small pieces, you can insert them into many areas. And we have one customer was running 18 containers on a single server and each of those containers, as you know, early days of data. You actually modernized what we consider we won containers of micro B. Um, so if you actually build these microservices and you have all anti affinity rules and you have rationing formulas all correctly, you can pack being part of these things extremely violent. We have seen this again. It's not a guarantee. It all depends on your application and your I mean, as an engineer, we want to always understand how this can be that sport. But it is a very modern utilization of the platform with the data and once you know where the data is, and then it becomes very easy to match those >>now. The other piece of the value proposition that I heard Robert is it's basically an integrated stack, so I don't have to cobble together a bunch of open source components. It's there. There's legal implications. There's obviously performance implications that I would imagine that resonates is particularly with the enterprise buyer, because they have the time to do all this integration. >>That's a very good point. So there is an interesting, uh, interesting question that enterprise they want to have an open source, so there is no lock in. But they also need help to implement and deploy and manage it because they don't have expertise. And we all know that Katie has actually brought that AP the past layer standardization. So what we have done is we've given the open source and you write to the covenant is happy, but at the same time orchestration, persistent stories, the data fabric, the ai algorithms, all of them are bolted into it. And on the top of that, it's available both as a licensed software and run on Prem. And the same software runs on the Green Lake so you can actually pay as you go and you don't we run it for them in in a collar or or in their own data center. >>Oh, good. I was one of my latter questions, so I can get this as a service paid by the drink. Essentially, I don't have to install a bunch of stuff on Prem and pay >>a perpetual license container at the service and the service in the last Discover. And now it's gone production. So both MLRS is available. You can run it on friends on the top of Admiral Container platform or you can run inside of the Green Bay. >>Robert, are there any specific use case patterns that you see emerging amongst customers? >>Yeah, absolutely. So there's a couple of them. So we have a really nice relationship that we see with any of the Splunk operators that were out there today. Right? So Splunk containerized their operator. That operator is the number one operator, for example, for Splunk, um, in the i t operation side or notifications as well as on the security operation side. So we found that that runs highly effective on top of his moral on top of our platforms that we just talked about what, uh, Kumar just talked about, but I want to also give a little bit of backgrounds to that same operator platform. The way that the Admiral platform has done is that we've been able to make highly active, active with a check availability at 95 nines for that same spark operator on premises on the kubernetes open source, which is, as far as I'm concerned. Very, very high end computer science work. You understand how difficult that is? Uh, that's number one. Number two, you'll see spark just a spark. Workloads as a whole. All right. Nobody handles spark workloads like we do. So we put a container around them, and we put them inside the pipeline of moving people through that basic, uh uh, ml ai pipeline of getting a model through its system through its train and then actually deployed to our MLS pipeline. This is a key fundamental for delivering value in the data space as well. And then, lastly, this is This is really important. When you think about the data fabric that we offer, um, the data fabric itself, it doesn't necessarily have to be bolted with the container platform to container at the actual data. Fabric itself can be deployed underneath a number of our for competitive platforms who don't handle data. Well, we know that we know that they don't handle it very well at all. And we get lots and lots of calls for people say, Hey, can you take your as Merrill data for every and solve my large scale, highly challenging data problems, we say yes. And then when you're ready for a real world full time but enterprise already, container platform would be happy to privilege. >>So you're saying if I'm inferring correctly, you're one of the values? Is your simplifying that whole data pipeline and the whole data science science project? Unintended, I guess. >>Okay, >>that's so so >>absolutely So where does the customer start? I mean, what what are the engagements like? Um, what's the starting point? >>It's being is probably one of the most trusted enterprise supplier for many, many years, and we have a phenomenal workforce of the both. The PowerPoint next is one of the leading world leading support organization. There are many places to start with. The right one is Obviously all these services are available on the green leg as we just start apart and they can start on a pay as you go basis. We have many customers that. Actually, some of the grandfather from the early days of pleaded and map are and they're already running, and they actually improvised on when, as they move into their next generation modernization, um, you can start with simple as metal container platform with persist with the story compared to this operation and can implement as as little as $10 and to start working. Um, and finally, there is a a big company like HP E. As an enterprise company defined next services. It's very easy for the customers to be able to get that support on the day to operation. >>Thank you for watching everybody's day volonte for the Cube. Keep it right there for more great content from Esmeralda. >>A mhm, okay.

hey welcome to analytics unleashed i'm robert christensen your host today thank you for joining us today we have three quick wins that drive big gains in the enterprise workloads and today we have olaf with erickson we have john with orok and we have dragon with dxc welcome thank you for joining me gentlemen yeah good to be here thank you thank you good to have you hey olaf let's start off with you what big problems are you trying to solve today that are doing for those quick wins what are you trying to do today top top of mind yeah when we started looking into this microservices for our financial platform we immediately saw the challenges that we have and we wanted to have a strong partner and we have a good relationship with hp before so we turned to hp because we know that they have the technical support that we need the possibilities that we need in our platform to fulfill our requirements and also the reliability that we would need so tell me i think this is really important you guys are starting into a digital wallet space that correct yeah that's correct so we are in a financial platform so we are spanning across the world and delivering our financial services to our end customers well that's not classically what you hear about ericsson diving into what's really started you guys down that path and specifically these big wins around this digitization no what what we could see earlier was that we have a mobile networks right so we have a lot of a strong user base within them uh both kind of networks and in the where we started in the emerging markets uh you normally they have a lot of unbanked people and that people also were the ones that you want to target so be able to instead of going down and use your cash for example to buy your fruits or your electricity bill etc you could use your mobile wallet and and that's how it all started and now we're also turning into the emerged markets also like the western side part of worlds etc that's fantastic and i hey i want to talk to john here john's with o'rock and he's the one of those early adopters of those container platforms for the uh in the united states here the federal government tell us a little bit about that program and what's going on with that john yeah sure absolutely appreciate it yeah so with orock what we've done is we developed one of the first fedramp authorized container platforms that runs in our moderate and soon to be high cloud and what that does is building on the israel platform gave us the capability of offering customers both commercial as well as federal the capability and the flexibility of running their workloads in a you know as a service model where they can customize and typically what customers have to do is they have to either build it internally or if they go to the cloud they have to be able to take what resources are available then tweak to those designs to make what they need so in this architecture built on open source and with our own infrastructure we offer you know very low cost zero egress capability but the also the workload processing that they would need to run data analytics machine language and other types of high performance processing that typically they would need as we move forward in this computer age so john you you touched on a topic that's i think is really critical and you had mentioned open source why is open source a key aspect for this transformation that we're seeing coming up in like the next decade yeah sure yeah with open source we shifted early on to the company to move to open source only to offer the flexibility we didn't want to be set on one particular platform to operate within so we took and built the cloud infrastructure we went with open source as an open architecture that we can scale and grow within because of that we were one of the very first fedramp authorizations built on open source not on a specific platform and what we've seen from that is the increased performance capability that we would get as well as the flexibility to add additional components that typically you don't get on other platforms so it was a it was a good move we went with and one that the customer will definitely benefit from that that's that's huge actually because performance leads to better cost and better cost leads better performance around that i i'm just super super happy with all the advanced work that you always are doing there is fantastic and dragon so so you're in a space that i think is really interesting you're dealing with what everybody likes to talk about that's autonomous vehicles you're working with automobile manufacturers you're dealing with data at a scale that is unprecedented can you just open that door for us to talk to about these big big wins that you're trying to get over the line with these enterprises yeah absolutely and um thank you robert we approach uh leveraging esmeral from the data fabric angle we practically have a fully integrated the esmeral data fabric into our robotic drive solution rewarding drive solution is actually a game changer as you've mentioned in accelerating the development of autonomous driving vehicles it's a an end-to-end hyper-scale machine learning and ai platform as i mentioned based on the esmeralda data fabric which is used by the some of the largest manufacturers in the world for development of their autonomous driving algorithms and i think we all in technology i think and following up at the same type of news and research right across the globe in in this area so we're pretty proud that we're one of the leaders in actually providing uh hyperscale machine learning platforms for uh kind manufacturers some of them i cannot talk about but bmw is one of uh one of the current manufacturers that we provide uh these type of solutions and they have publicly spoken about their uh d3 platform uh data driven development platform uh just to give you an idea um of the scale as robert mentioned uh daily we collect over 1.5 petabytes of data of raw data did you say daily data daily the storage capacity is over 250 petabytes and growing uh there's over 100 000 cores and over 200 gpus in the in in the compute area um over 50 50 petabytes of data is delivered every two weeks into a hardware in loop right for testing and we have daily uh thousands of engineers and data scientists accessing the relevant data and developing machine learning models on the daily basis right part of it is the simulation right simulation cuts the cost as well as the uh time right for developing of the autonomous uh driving algorithms and uh the the simulations are taking probably 75 percent of the research uh that's being done on this platform that's amazing dragon i i i i the more i get involved with that and i've been part of these conversations with a number of the folks that are involved with it i i computer science me my geekiness my little propeller head starts coming out i might just blows my mind and i think so i'm going to pivot back over to olaf oh left so you're talking about something that is a global network of financial services okay correct and the flow of transactional typically non-relational transactional data flows to actual transactions going through you have issues of potential fraud you have issues a safety and you have multi-geographic regional problems with data and data privacy how are you guys addressing that today so so to answer that question today we have managed to solve that using the container platform to together with the data fabric but as you say we need to span across different regions we need to have the data as secure as possible because we have a lot of legal aspects to look into because if our data disappears but your money is also disappearing so it's a really important area for us with the security and the reliability of the platforms so so that's why we also went this way to make sure that we have this strong partner that could help us with this because just looking at where we are deployed in in more than 23 countries today and and we it's processing more than 900 million us dollars per day in our systems currently so it is a lot of money passing through and you need to take security in a it's as it's a very important point right it really is it really is and so uh john i mean you you uh obviously are dealing with you know a lot of folks that have three letters as acronyms around the government agencies and uh they range in various degrees of certa of security when you say fedramp i mean what could you just uh articulate why the esmerald platform was something that you selected to go to that fedrak compliant container platform because i think that's that that kind of speaks to the to the industrial strength of what we're talking about yeah it all comes down to being able to offer a product that's secure that the customers can trust and when we went with fedramp fedramp has very stringent security requirements that have monthly poems which are performance reviews and and updates that need to be done if not on a daily basis on a monthly basis so the customers there's a lot that goes on behind the scenes that they don't are able to articulate and what by selecting the hp esmerald platform for containers um one of the key strengths that we looked at was the esmo fabric and it's all about the data it's all about securing the data moving the data transferring the data and from a customer's perspective they want to be able to operate in an environment that they can trust no different than being able to turn on their lights or making sure there's water in their utilities you know containers with the israel platform built on orok's infrastructure gives that capability fedramp enables the security tied to the platform that we're able to follow so it's government uh guided which includes this and many and over hundreds of controls that typically you know the customers don't have time or the capability to address so our commercial customers benefit our federal customers you know that you discuss they're able to follow and check the box to meet those requirements and the container platform gives us a capability where now we're able to move files which we'll hear about through the optimal fabric and then we're able to run the workloads in the containers themselves and give isolation and the security element of fed wrapping esmeral gave us that capability in order to paint that environment fedramp authorized that the customers benefit from from security so they have confidence in running their workloads using their data and able to focus on their core job at hand and not worry about their infrastructure the fundamental requirement isn't it that that isolation between that compute and storage and going up a layer there in in a way that provides them a set of services that they can i wouldn't say set it and forget it but really had the confidence that what they're getting is the best performance for the dollars that they're spending uh john my hat's off to what the work that you all do in there thank you we appreciate it yeah yeah and dragon i want to i wanted to pivot a little bit here because you are primarily the the operator what i consider one of the largest data fabrics on the on the planet for that matter um and i just want to talk a little bit about the openness of our architecture right of all the multiple protocols that we support that allow for you know you know some people may have selected a different set of application deployment models and virtualization models that allow to plug into the data fabric you know it did can you talk a little bit about that yeah and i i think um in my mind right um to operate uh such a uh data fabric at scale right um there were three key elements that we were looking for right uh that we found in uh esmeralda fabric ring the first one was a speed cost and scalability right the second one was the globally distributed data lake or ability to distribute data globally and third was certainly the strength of our partnership with with hpe in this case right so if you look at the uh as well data fabric it's it's fast it's cost effective and it's certainly highly scalable because we as you just mentioned stretch the uh sort of the capabilities of the data fabric to hundreds of petabytes and over a million the data points if you will and it important what was important for us was that the esmeralda fabric actually eliminates the need for multiple vendor solutions which would be otherwise required right because it provides integrated file system database or or a data lake right and the data management on top of it right usually you would probably need to incorporate multiple tools right from different vendors and the file system itself it's it's so important right when you're working at scale like this right and honestly in our research maybe there are three file systems in the world that can support uh this kind of size of the auto data fabric the distributed data lake was also important to us and the reason for that is you can imagine that these large car manufacturers are testing and have testing vehicles all around the world right they're not just doing it locally around the uh their data their id centers right so uh collecting the data and this 1.5 petabytes example right uh for for bmw on a daily basis it's it's it's really challenging unless you have the ability to actually leverage the data in a distributed data like fashion right so data can basically reside in different data centers globally or even on-premise and in cloud environments which became uh very important later because a lot of this car manufacturers actually have oems right that would like to get either portions of the data or get access to the data in a in different environments not necessarily in their data center um and truly i think uh to build something at this scale right uh you you need a strong partner and we certainly had that in hpe and uh we got the comprehensive support right for uh for the software um but but more importantly i think uh partner that clearly understood uh criticality of the data fabric trend and the need for the vice fast response right to our clients and you know jointly i think we met all the challenges and it's so doing i think we made the esmo data fabric a much better and stronger product over the over the last few years that's fantastic thank you dragon appreciate it uh hey so if we're going to wrap up here any last words olaf do you want to share with us no looking forward now in from our perspective on helping out with the kobe 19 situation that we have uh enabling people to still be in the market without actually touching each other and and and leaving maybe for action market and being at home etc doing those transactions that's great thank you john in last comment yeah thanks yeah uh look for uh a joint offering announcement coming up between hpe and orok where we're going to be offering sandbox as a service where the data analytics and machine language where people can actually test drive the actual environment as a service and if they like it then they can move into a production-wise environment so stay tuned for that that's great john thank you for that and hey dragon last words yeah last words um we're pretty happy what we have done already for car manufacturers we're taking this solution right in terms of the uh distributed data-like capabilities as well as the uh hyperscale machine learning and ai platform to other industries and we hope to do it jointly with you well we hope that you do it with us as well so thank you very much everybody gentlemen thank you so much for joining us i appreciate it thank you very much thank you very much hey this is robert christensen with analytics unleashed i want to thank all of our guests here today and we'll catch you next time thank you for joining us bye [Music] [Music] [Music] easy [Music] you

>>from around the globe. It's the Cube covering HP. Discover Virtual Experience Brought to you by HP >>Everyone welcome to the Cube studios here in Palo Alto, California We here for remote conversation. Where for HP Discover virtual experience. 2020. We would Kumar, Sri Context, chief technology officer and head of Software Cube alumni. We've been following Kumar since he started Blue Data. Now he's heading up the software team and CTO at HP and Robert Christensen, VP of Strategy of Office of the CTO Robert Both Cube alumni's Robert, formerly with CTP, now part of the team that's bringing the modernization efforts around enterprises in this fast changing world that's impacting the operating models for businesses. We're seeing that playing out in real time with Covert 19 as customers are modernizing the efforts. Guys, thanks for coming on. Taking the time. >>You're welcome, John. Good to be back here, >>Kumar. First I have to ask you, I have to ask you your new role at HP sent it up to CTO but also head of the software. How >>do you >>describe that role Because you're CTO and also heading up? This offers a general manager. Could you take him in to explain this new role and why It's important. >>Thank you. Thank you, John. And so good to be back. You get two for one with me and Robert didn't. Yeah, it's very exciting to be here as the CTO of HB. And as Antonio described in in his announcement, we consider software will be very key, essential part of the our people as a service. And, uh, we want we see that it's an opportunity for not only layer division but help drive the execution of that reason. Both organic them in our. So we we see we want to have a different change of software that helps the customers, too, to get us to the workloads optimized, or are there specific solutions? >>You guys were both on the Cube in November, Pre cove it with the minimum John Troyer talking about the container platform news, leveraging the acquisitions you guys have done at HP Kumar, your company Blue Data map, our CTP, Robert, the group. You're there really talking about the strategies around running these kinds of workloads. And if you think about Cove in 19 this transformation, it's really changing work. Workforces, workplaces, workloads, work flows everything to do with work and people are at home. That's an extension of the on premise environment. VPN provisions were under provisional hearing all these stories, exposing all the things that need to be worked on because no one ever saw this kind of direction. It highlights the modern efforts that a lot of your customers are going through rubber. Can you explain? And Kumar talk about this digital transformation in this cove it and then when we come out of it, the growth strategies that need to be put in place and the projects take a minute to explain. >>Go ahead. Robert Cover has been spending a lot of time with our customers, and I would like to go ahead. >>Yeah, thank you so much. It's Ah, uh, accelerators. What's happened? Many of our clients have been forced into the conversation about how do I engage our customers, and how do we engage our broad constituents, including our employees and colleagues, in a more rapid and easier way? And many of the systems that were targeted to make their way to a public cloud digital transformation process did not get the attention just because of their size and breadth and depth effort. So that's really put an accelerator down on what are we gonna do? So we have to be able to bring a platform into our clients organizations that have the same behavior characteristics or what we call you know, the same cloud experiences that people are expecting public. Bring it close to our client's data and their applications without having that you don't have a platform by which you can have an accelerated digital transformation because it's historically a public cloud. But the only path to get that done, what we're really considering, what we introduced a while ago was platform near our clients applications. That data that gives them that ability to move quicker and respond to these industries, situations and specifically, what's happened with company really pushes it harder for real solutions Now that they can act on >>Kumar, your thoughts on this pre coded >>Yeah, yeah, this is the piece of acceleration for the digital transformation is just is a longer dynamically multiplied the code. But I think as you pointed out, John the remote working and the VPN is the security. We were as an edge to the Cloud platform company we were already in that space, so it's actually very, very. As Robert pointed out, it's actually nice to see that transformation is his transition or rapidly getting into the digitization. But one thing that is very interesting to note here is you can you can lift and shift of data has gravity. And you actually saw we actually see the war. All the distributor cloud. We see that we're glad to see what we've seen we've been talking about prior to the Kool Aid. And recently even the industry analysts are talking about we believe there is a computer can happen where the data is on. But this is actually an interesting point for me to say. This is why we have actually announced our new software platform, which we as well, which is our our key differentiator pillar for our as a service people that companies are facing. >>Could you talk about what this platform is? You guys are announcing the capabilities and what customers can expect from this. Is that a repackaging? Is there something new here? What's is it something different, Making something better? What? Can you just give us a quick taste of what this is and what it means. >>Good love alive. >>Yeah, so yeah, that's a great question. Is it repackage There's actually something. Well, I'm happy to say. It's a combination of a lot of existing assets that come together in the ecosystem, I think a platform that is super unique. You know, you look at what the Blue data container Onda adoption of communities holistically is a control plane as well as our data fabric of motion to the market with Matt Bahr and you combine that with our network experiences and our other platform very specific platform solutions and your clients data that all comes together in intellectual property that we have that we packed together and make it work together. So there's a lot of new stuff in there, But more importantly, we have a number of other close partners that we've brought together to form out our as moral platform. We have a new, really interesting combination of security and authentication. Piece is through our site L organization that came underneath with us a few months back and are aggressive motion towards bringing in strong networking service that complexity as well. So these all come together and I'm sure leaving a few out there are specifically with info site software to continue to build out a Dr solution on premises that provides that world class of services that John >>Sorry, Johnny, was the question at the beginning is, what is that? Why the software role is This is exactly what I was waiting for that that that moment where Robert pointed out, our goal is we have a lots of good assets. In addition to a lot of good partnerships, we believe the market is the customers want outcome based solutions. Best motion not. I want peace meal. So we have an opportunity to provide the customers the solution from the top to the bottom we were announced, or the Discover ML ops as a service which is actually total top to the bottom and grow, and customers can build ml solutions on the top of the Green lake. This is built on HP is moral, so it's not. I wouldn't use the word repackaging, but it is actually a lot of the inorganic organic technologies that have come together that building the solution. >>You know, I don't think it's ah, negative package something up in >>Toto. So I wouldn't >>I didn't think >>negative, but I was just saying that it is. It's Ah, it's a lot of new stuff, but also, as Robert said included, or you built a very powerful container platform. As you said, you just mentioned it that you've gone. We announced the well. >>One of the things I liked about your talk on November was that the company is kind of getting in the weeds, but stateless versus State. Full data's a big part >>of >>it, but you don't get the cloud and public cloud and horizontal scalability. No one wants Peace meal, that word you guys just mentioned or these siloed tools and about the workforce workplace transformation with Cove it it's exposing the edge, everybody. It's not just a nightie conversation. You need to have software that traverses the environment. So you now looking at not so much point solutions best to breed but you guys have had in the past, but saying Okay, I got to look at this holistically and say, How do I make sure I make sure security, which is the new perimeter, is the home right or wherever is no perimeter anymore is everywhere, So >>this is now >>just a architectural concept. Not so much a point solution, right? I mean, is that kind of how you're thinking about it? >>That's correct. In fact, as you said, the data is generated at the edge and you take the compute and it's been edge to the cloud platform. What we have, actually what we are actually demonstrating is we want to give a complete solution no matter where the processing needs are. And with HP, you have no that cloud like experience both as UNP prime as well as what we call a hybrid. I think let's be honest, the world is going to be hybrid and you can actually see the changes that is happening even from the public cloud vendors. They're trying to come on pram. So HP is being established player in this, and with this technology I think provides that solution, you can process where the data is. >>Yeah, I would agree it's hybrid. I would say Multi cloud is also, you know, code word for multi environment, right? And Robert, I want todo as you mentioned in your talk with stew minimum in November, consistency across environments. So when you talk to customers. Robert. What are they saying? Because I can imagine them in zoom meetings right now or teleconferencing saying, Look it, we have to have an operating model that spans public on premise. Multiple environments, whether it's edge or clouds. I don't wanna have different environments and being managed separately and different data modeling. I won't have a control plane, and this is architectural. I mean, it's kind of complex, but customers are dealing with this right now. What are you hearing from customers? How are they handling and they doubling down on certain projects? Are they reshaping some of their investments? I mean, what's the mindset of the customer >>right now? The mindset is that the customers, under extreme pressure to control costs and improve automation and governance across all their platforms, the business, the businesses that we deal with have established themselves in a public cloud, at least to some extent, with what they call their systems of engagement. Those are all the lot of the elastic systems, the hype ones that the hyper scale very well, and then they have all of their existing on premises, stuff that you typically heavily focused on. A VM based mindset which is being more more viewed as legacy, actually, and so they're looking for that next decade of operating. While that spans both the public and the private cloud on Premises World and what's risen up, that operating model is the open source kubernetes orchestration based operating model, where they gives them the potential of walking into another operating model that's holistic across both public and private but more importantly, as a way for their existing platforms to move into this new operating model. That's what you're talking about, using state full applications that are more legacy minded, monolithic but still can run in the container based platform and move to a new ballistic operating model. Nobody's under the impression, by the way, that the existing operating model we have today on premises is compatible with the cloud operating model. Those two are not compatible in any shape. Before we have to get to an operating model that holistic in nature. We see that, >>and that's a great tee up for the software question Robert, I want to go to. Come on, I want to get thoughts because I know you personally and I've been following your career. Certainly you know. Well, well, well, deep in computer science and software. So I think it's a good role for you. But if you look at what the future is, this is the conversation we're having with CIOs and customers on the Cube is when I get back to work postcode. But I've gotta have a growth strategy. I need to reset, reinvent and have growth strategy. And all the conversations come back to the APS that they have to redevelop or modernize, right? So workloads or whatever. So what that means is they really want true agility, not just as a punch line or cliche. They gotta move security into the Dev Ops pipeline ing. They got to make the application environment. Dev Ops and Dev Ops was kind of a fringe industry thing for about a decade. And now that's implement. That's influencing I T ops, security ops and network ops. These are operational systems, not just, you know, Hey, let's sling some kubernetes and service meshes around. This is like really nuts and bolts business operations. So, you know, I t Ops has impacted SEC ops isn't impacted. They're working us not for the faint of Heart Dev Ops I get that now it's coming everywhere. What's your thoughts on that? What's your reaction? >>We see those things coming together, John. So again, going back to the Israel were the world we believe this innovative software is. It can run on any infrastructure to start with, whether it's HP hardware knowledge we are with. It's called Hybrid. And as we said we talked about, it is it is, um it's whether it is an edge already where the processing is. We also committed to providing integrated, optimized, secure, elastic and automate our solutions. Right. This is, I think, your question of are it's not just appealing to the one segment of the organization. I think there's going to be a I cannot just say I'm only giving you the devil ops solution, but it has to have a security built into. This is why we are actually committed to making our solutions more elastic, more scalable. We're investing in building a complete runtime stack and making sure it has the all the fleet compose. It's not only optimized for the work solution which we call the work runtime stack, it's also has this is our Green Lake solution that that brings these two pieces together. Robert? Yeah. Sorry. Go ahead. >>Robert, you mentioned automation earlier. This is where the automation dream comes in. The Mission ml ops service. What you're really getting at is program ability for the developer across the board, right? Is that kind of what you're thinking? Or? >>Well, there's two parts of that. This is really important. The developer community is looking for a set of tools that they could be very creative and movement right. They don't want to have to be worried about provisioning managing, maintaining any kind of infrastructure. And so there's this bridge between that automation and the actual getting things done. So that's number one. But more importantly, I think this is hugely important, as you look about pushing into the on premises world for for H, P E or anybody else to succeed in that space, you have to have a high degree of automation that takes care of potential problems that humans would otherwise have to get involved with. And that's when they cost. So you have to drive in a commercial. I'm gonna fleet controls of Fleet management services that automate their behavior and give them an S L A that are custom to public cloud. So you've got two sets of automation that you really have to be dealing with. Not only are you talking about Dev ops, the second stage you just talked about, but you gotta have a corresponding automation bake back into drive. A higher user experience at both levels >>and Esmeraldas platforms is cool. I get that. I hear that. So the question next question on that Kumar is platforms have to enable value. What are you guys enabling for the value when you talk to customers? Because who everyone sees the platform play as the as the architecture, but it has to create disruptive, enabling value. What do you >>Yeah, that I'll go on as a starter, I think way pointed out to you. This is the when we announced the container platform, it's off, the very unique. It's not only it's open source Cuban it is. It has a persistent one of the best underlying persistent stories integrated the original map or a file system, as I pointed out, drones one of the world's largest databases, and we can actually allow the customers to run both both state full and stateless workloads. And as I said a few minutes ago, we are committed to having the run times off they run and both which we are. We're not a hardware, so the customers have the choice on. In addition to all of that, I think we're in a very unique solutions. We're offering is ML ops as we talked about and this is only beginning, and we have lots of other examples of Robert is working on a solution. Hopefully, we'll announce sometime soon, which is similar to that. Some of the key elements that we're seeing in the marketplace, the various solutions that goes from the top of the bar >>Robert to you on the same question. What's in it for me in the customer? Bottom line. What's the what's in it for me? >>Well, so I think, just the ease of simplicity. What we are ultimately want to provide for a client is one opportunity to solve a bunch of problems that otherwise have to stitch together myself. It's really about value and speed to value. If I have to solve the same computer vision problem in manufacturing facility and I need a solution and I don't have the resource of the wherewithal stacks like that, but I got to bring a bigger solution. I want a company that knows how to deliver a computer vision solution there or within an airport or wherever, where I don't need to build out sophisticated infrastructure or people are technologies necessary, is point on my own or have some third party product that doesn't have a vested interest in the whole stack. H P E is purposely have focused on delivering that experience with one organization from both hardware and software up to the stack, including the applications that we believe with the highest value to the client We want to be. That organization will be an organization on premises. >>I think that's great, consistent with what we're hearing if you can help take the heavy lifting away and have them focus on their business and the creativity. And I think the application renaissance and transformation is going to be a big focus both on the infrastructure side but also just straight up application developers. That's gonna be really critical path for a lot of these companies to come out of this. So congratulations on that love that love the formula final conclusion question for both you guys. This is something that a lot of people might be asking at HP. Discover virtual experience, or in general, as they have to plan and get back to work and reset, reinvent and grow their organizations. Where is HP heading? How do you see HP heading? How would you answer that question? If the customers like Kumar Robert, where's HP heading? How would you answer that? >>Go ahead, Robert. And then I can >>Yeah, yeah. Uh huh, Uh huh. I see us heading into the true distributed hybrid platform play where that they would look to HP of handling and providing all of their resource is and solutions needs as they relate to technology further and further into what their specific edge locations would look like. So edge is different for everybody. And what HP is providing is a holistic view of compute and our storage and our solutions all the way up through whether they be very close to the edge. Locations are all the way through the data center and including the integration with our public cloud partners out there. So I see HP is actually solving real value business problems in a way that's turnkey and define it for our clients. Really value >>John. I think I'll start with the word Antonio shared. We are edge to the cloud, everything as a service company and I think the we're actually sending is HPE is Valley Legend, and it's actually honored to be part of the such a great company. I think what we have to change with the market transformation the customer needs and what we're doing is we're probably in the customers that innovative solution that you don't have to. You don't have to take your data where the computers, as opposed to you, can take the compute where the data is and we provide you the simplified, automated, secure solutions no matter where you very rare execution needs are. And that is through the significant innovation of the software, both for as Model and the Green Lake. >>That's awesome. And, you know, for all of us, have been through multiple ways of innovation. We've seen this movie before. It's essentially distributive computing, re imagine and re architected with capability is the new scale. I mean, it's almost back to the old days of network operating systems and networking and Os is and it's a you know, >>I that's a very, very good point. And I will come through the following way, right? I mean, it is, It's Ah, two plus two is four no matter what university, Gordo. But you have to change with the market forces. I think the market is what is happening in the marketplace. As you pointed out, there was a shadow I t There's a devil Ops and his idea off the network ops and six years. So now I think we see that all coming together I call this kubernetes is the best equalizer of the past platform. The reason why it became popular is because it's provided that abstraction layer on. I think what we're trying to do is okay, if that is where the customers want and we provide a solution that helps you to build that very quickly without having to lock into any specific platform. >>I think you've got a good strategy there. I would agree with you. I would call that I call it the old TCP I p. What that did networking back in the day. Kubernetes is a unifying, disruptive enabler, and I think it enables things like a runtime stack. Things that you're mentioning. These are the new realities. I think Covad 19 has exposed this new architectures of the world. >>Yeah, one last year, we were saying >>once, if not having something in place >>started. So the last thing I would say is it we're not bolting coolness to anything. Old technologies. It's a fresh it's built in. It's an open source. And it is as a salaries, it can run on any platform that you choose to run. Now. >>Well, next time we get together, we'll refund, observe ability and security and all that good stuff, because that's what's coming next. All the basic in guys. Thank you so much, Kumar. Robert. Thanks for spending the time. Really appreciate it here for the HP Discover Virtual Spirits Cube conversation. Thanks for Thanks for joining me today. >>Thank you very much. >>I'm John Furrier with Silicon Angle. The Cube. We're here in our remote studios getting all the top conversations for HP Discover virtual experience. Thanks for watching. Yeah, >>yeah, yeah.