>>it's mhm Okay, we're here in the cube unpacking the HPD Green Lake announcements, Daniel neumann series Principal analyst and founder of your um research Damn. You're good to see you again, >>Dave always going to jump jump on with you. It's good to have a minute sit down. So >>what's your favorite announcement from from Green Lake? What do you, what do you make of what they announced today? >>Well, I love the opportunity for the company to position itself up against a growth monster like snowflake. I mean looking at the ability to handle the breath of the data at scale and offer a data service that can compete in that space. That's exactly the kind of narrative that I think the markets, the outside world is going to want to hear from HP is how you're not just competing with your traditional, the doubles, the Ciscos, the IBM, you're going after the, the mega growth cloud players and data services. And for me that's really attractive because I've been really on top of hb saying, hey, you're doing a lot of the right things, but people have to feel and see the growth. >>To me this is a major move toward the tam expansion strategy. It's kind of the job of every Ceo right, is to expand the tam. And I'm interested to see how HP e plays this and communicates this because, you know, traditionally it's a hardware company, uh moving into data management Data services. That's an enormous market. We'll talk about how important data is but the data management is just huge. And to do it in a cloud like fashion, how do you see that as potentially expanding the total available market for HP? >>Well, first, let's just almost walking back a second, Dave HP is a cloud player. Okay. And that's the story that it is trying to get out there. It is not a hardware player that's tinkering in software. Hp has done software, this isn't its first go. But if you want to be a cloud player, you look at the big hyper scale as you look at the AWS, as you look at the google, you look at as the google built, not just on hardware, it's built that big C and I've had this conversation before, all the things that make up the cloud, it's the hardware, it's the software, it's the services, the platform, you got to put all these things together. And if HP wants to be a public cloud experience, taking advantage of where we're moving with hybrid and offering it private, it has to have that same subset of services. Look at the investment, whether it's been a W S or google or Azure in data services, HP has to be in this space. So, seeing this come to fruition, in my opinion, is directionally the right path, getting it to be well received, winning the right customers and showing the growth from these investments is going to be the next important phase. >>Do you see that as a service model as being more margin friendly for HP and and if so why? Well, I think >>universally we found there's two major improvements that moving to the as a service. One is, it does over time create expanded operational margin. It's just economies of scale. You can utilize every resource more efficiently. Of course there are Capex expenses, You've seen the amount that hyper skeletons have had to spend to expand their their footprints globally. So there is some Capex upfront but that also on the back end creates the depreciation and different bottom line profit creators. At the same time though, as a service is huge for the multiples and evaluation, which by the way is one of the things that has been a real in focus point for H. P. E. Is how does it up that that number, You know, you look at the snowflakes, not even profitable but getting huge. You know, um, you know, huge multiples on revenue. And then you see even the other hyper scale is all getting bigger plays on revenue and on E. P. S. Most of it has to do with the fact that recurring revenue is beloved by investors, but it's also really sticky and creates a ton of stability within the company for the culture of the business to say, hey, we have customers, they're going to stay with us. They're not going anywhere. They're subscribed to our services. They're buying into what we're doing and by the way, net revenue expansion as you get them sticky, you layer in new services. We've seen how this has worked across the board with public cloud, with software with SAS, can HP do it as well? And of course it's been something they're doing, but it's something we need to watch really closely and I think it's an opportunity that the company needs to lean into it. And I think they will, >>you mentioned snowflake a couple times, there's a there's a, there's a discussion in the industry, it was sort of prompted by martin casado and sarah wang about repatriation and particularly as it relates to software, saas companies uh that the the the cloud bill is so high at some point, they're giving away margin, so they're going to have to come back on prem, I'm not sure that to date that has applied to the general audience of customer, although there's a lot of debate as well between the expensive cloud, obviously, you know, egress charges. So it's hard sometimes to squint through that when you think about HP E bringing Green Lake to market at scale bringing repeatable processes, driving automation, etcetera. How do you think that that cloud repatriation argument, which frankly, I haven't seen a huge cloud repatriation in in the macro, but how do you think that will play out over time, Do you feel like the on prem play can be as cost effective or more cost effective or maybe you feel like it is already today? >>Well, I also listen to the injuries and Horowitz uh, repatriation narrative as well. I think there are economies of scale with cloud that companies have to look at closely. But I also think that has a lot to do with why hybrid has been sort of the story of the day. That's why hyper sailors are going on prem or, and that's why I'm primes are moving to the cloud is because it's always going to be some, you know, some group of different placements of workloads to ultimately get to that optimized result. And so, you know, when you look at, you know, sort of what you asked in my opinion, you know, ultimately it's all about the efficiency of your organization trying to accomplish what your business is. And will there be some repatriation of workloads possibly. But there will be a very important hybrid mix. And I think we're gonna continue to see that trend and I think that's exactly where everyone's going in. Hp is going as well. >>All right, then we've got to leave it there. Thanks so much for your insights, appreciate it. We're gonna definitely have you back you and I are going to do some cool stuff together. So we'll talk next time. Thanks all right, and thank you for watching, this is Dave Volonte for the keeps coverage of H P E Green Lakes announcement, keep it right there. Mm

>>mhm >>mm >>Hello and welcome back to HPD discovered 2021. My name is Dave Volonte and we're going to dig into H P E. Green Lake, we've heard a lot about this, we want to find out how real it is and test a little bit of how how can help solve your business problems. We also want to understand Green Lake relative to the competition. HPV was the first, as you probably know to declare it all in with an as a service model and virtually every major infrastructure player has now followed suit. So we want to hear from HP directly how it's different from the competition, where it's innovating and that means we're gonna poke a little bit of customer examples and how the partner ecosystem is adopting and responding to Green Lake and with me is the right person to do this is keith White, who is the senior Vice President General Manager of the Green Lake cloud services business unit at HP, keith, great to see you, thanks for coming back to the cube. >>Okay, fantastic to see you as always. So thanks so much for having me. >>Yeah, it's our pleasure. So look, we're hearing a lot leading up to discover and at this event about Green Lake you got momentum now, everybody's excited about it. What's driving demand? Where's the excitement coming from? >>No, it's a great question. And you know, the reality is customers are expecting this cloud experience, right? So they they've been using the public cloud, they've been engaging on that front and this cloud experience is really driven, a pretty high amount of customer expectations, make itself served, make it automated, make it easy to consume, only want to pay for what I'm using and then manage it all for me on the back end. But 60 to 70% of apps and data will stay on prem per Gardner and I D. C. And so give me that experience on prem. And so that's why I think Green Lake has gotten so much interest, so much positive growth and momentum is because we're bringing that cloud experience to our customers in their data center, in their Coehlo or at the edge and that's where they want to see it just as much. And so since the world is now hybrid, we have a fantastic solution for folks. >>So you, you were first in this game and so you took some arrows and I'm interested in how Green Lake has evolved, Take us through the journey maybe what were some of the bumps in the road that you had to overcome? Maybe how it compares with the competition. Maybe some of the things that they're going to have to go through as well to get to the point where you are. >>No, it's true. And you know, the great thing is HP as a company is really moving to be much more of a cloud services and software company. And you know, we're seeing this from our competition, as you mentioned, have followed suit. But in essence, you know, you have to move from just sort of providing lease type financing type scenarios for our customers into truly delivering that cloud experience. And that's what's been so exciting over this last year is we've gone from just the basic cloud services, compute storage, networking and VMS to really providing containers as a service, bare metal as a service. Uh, machine learning ops, S. A P V. D I. You know, we've now created a set of workloads and as you heard it discover we're now delivering industry solutions, so electronic medical records for hospitals or high delivery payment transaction processing for, for financial, so that the challenge of moving from just sort of leasing basic capabilities to a true cloud experience that again pay as I go, fully automated self serve, all managed for me has really been a challenge and it's exciting, it's exciting to see customers jump on and really sort of lean in and see the business value that comes from having that level of solution >>keith, am I correct in that pretty much every large tech company has a services arm and they could, they could sort of brute force, some kind of cloud like experience and that's kind of what people have done historically the layer in a financial like leasing financial as you said and and but every situation was unique, it was kind of a snowflake if you will and you guys are probably there a few years ago as well and so I'm interested in sort of how you evolved beyond that. Was it a mindset was a technology, was it sort of cultural? You know, it came from the top as well, but maybe you could describe that a little bit. >>Yeah, the ship comes from our customers because what's happening is customers no longer trying to buy component parts. They're saying it's really about Tesla's like, hey, I want you to deliver this for me. In essence, we're running the data center for them now. We're running their machine learning operations environment for them. Now, you know, we're migrating their mainframe over now. And so what's happening is these sls are really, what matters to customers like that? It's not so much about, hey, what are the speeds and feeds and this and that? And so yes, you can sort of brute force that piece of it. But what you really are having to do is create this deep partnership and relationship with your customer to truly understand their business challenges and then provide them with that capability. Now I think the things that's exciting is yes, the public cloud gives you some some significant benefits for certain workloads and certain capabilities. But what we're hearing from customers is hey, I want to have much more control over my data center. I want to ensure that it has the security required. I want to make sure that I can make the adjustments necessary and so you're doing all that at a lower cost with open platform that I can use a variety of tools and other applications just makes it that much more powerful. So I think that's what we're seeing is we're getting into what our customers really requiring and then you know the most interesting thing is how do you make it work with my entire environment because I am running Azure and I am running A W. S. And I am running google and I'm running some other things. And so how does this cloud really helped me bring all those together to really govern that hybrid estate? And that's where I think Green Lake has really shine. >>So it kind of part of the secret sauce is automation because you've got to be, you still have, you have to be competitive, you know, at least within reason to cloud cost, sometimes it's going to be less expensive, maybe sometimes it can be more expensive. You've got some advantages in certain cases where, you know, there's government governance things and and you know, we don't have to go through all that, but there's the automation but you've got to be profitable at this too. So there's the automation, there's the tooling, there's the openness. So, so that was really a key part of it. Is it not that sort of automating? >>That's right. Automation is key as is really understanding what that customer environment is and optimizing for that piece of it. And so as you heard, we're really excited to announce our Green Lake Lighthouse, which is really providing workload optimized systems that are fully managed for them that provide that capability to run multiple workloads for that customer. But at the same time, to your point, there's a lot of charges that happened on the public cloud side. So, you know, data is the new, you know, gold if you will right, everyone's trying to monetize their data, trying to use it to make decisions and really understand what's happening across their environment and in the cloud. You know, if you put it up in the cloud, you have to pay to get it out. The egress charges can be significant and it's also a bit slower at times because of the latency that happens across that that that connection. And so we are now in a situation where we're seeing a lot of customers that are really trying to analyze their data, leveraging our HPC systems, leveraging our machine learning operation systems in order to really get that data happening, Getting the dancers out much, much faster and a much lower cost than what it would cost them to do that in the cloud. >>So you have some experience at this now. I wonder if we could dig into the customers how customers are using Green Lake. Maybe you can give some examples of success. >>Yeah. Yeah, no. You know it's exciting because you know first off everyone's looking at their digital transformation and that means something different for every single customer, so really understanding what they're trying to do from a transformation standpoint and then saying, okay, well how can we bring a solution to help accelerate that? To help be uh, you know, more connected to your customers to help improve your product delivery. We went to Lyondellbasell for example, one of the largest manufacturers in the world. And you know, they said, hey look, we don't want to run our data center anymore. Most most customers are trying to get out of the data center management business and they're saying, hey, run this for me, uh let me free up resources to go focus on things that really can drive additional value for our customers instead of keeping the lights on patching, blah blah blah. So we have taken their entire environment and moved it to a Coehlo and we're managing it now for them. And so in essence we freed up not just a ton of resources, but they have also been able to drop their carbon footprint, which is also this whole sustainability push is significant as well. And then you look at a customer like care stream, one of the largest medical diagnostic companies in the world, saying hey we gotta be able to allow our doctors to be able to um analyze and diagnose things much much faster through our X ray systems and through our diagnostic machines. And so they have implemented our machine learning operations scenario to dramatically speed up those types of capabilities. So as you go down the list and you start to see these customers really um leveraging technology to meet that digital transformation, saving costs, moving their business forward, creating new business models. It's just, it's really exciting. >>What about partners keith? How how have they responded? I mean, on the one hand, you know, that's great opportunities for them, you know, they're they're transforming their own business model. On the other hand, you know, maybe they were comfortable with the old model, they got a big house, nice, nice boat, you >>know? >>But how are they changing their their their business and how are they leaning in >>similar to what we're seeing? The opportunity for partners is dramatic, right? Because what happens is you have to have a very different relationship with your customer to truly understand their digital transformation. Their business challenges the problems that they're having to address. And so where we're seeing partners really, really sort of the opportunity is where there's the services and that sort of deeper relationship piece of it. So in essence, it's creating much more opportunity because the white spaces dramatic we're seeing, I want to say it's in the 30 to $40 billion worth of market opportunity as we move into an as a service on prem world. So they're seeing that opportunity. They're seeing the ability to add services on top of that and deepen the relationship with our customers. And you know, it's it's from my SVS. We're working closely with S. A. P. For example, to deliver their new rise private cloud customer edition. We're working closely with loosest, for example, who is doing a lot of payment processing type scenarios Nutanix and their database as a service scenario and Splunk because again, we went back to the data piece and these guys are doing so much big data type implementations for risk analytics and and regulatory type scenarios. It's just significant. And so because there's such a push to keep things on prem to have the security to reduce the latency to get rid of the egress charges and everything else. There's just a significant white space for both our partners and then from our distributors and resellers, they're getting to change their business model again, to get much deeper in that relationship with our customers >>to be Green Lake is, I mean it's H. P. E. As a service, it's your platform. And so I wonder if you can think about how you're thinking about uh, share with us, How you think about platform innovation? Um, you've got the pricing model, you know, flex up, flex down. Is there other technology we should know about and other things that are going to move you forward in this battle for the next great hybrid cloud and edge platform? >>Yeah, it's a great push because if you think about it, we are Green Lake is the edge to cloud platform And in essence because we have such a strong edge capability with the arab acquisition we made a few years back. That's really significant momentum with the Silver Peak acquisition to give us SD when you've got that edge connectivity all the way up to our high performance computing. And so you'll see us deliver high performance computing as a service. We're announcing that here at discover um you'll see us announced, you know, machine learning ops I mentioned ASAP, but also a virtual desktops. I think the pandemic has brought a lot more work from home type scenarios and customers really want to have that secure desktop. And so, working with partners like Citrix and Nutanix and and VM ware and Crew were able to provide that again, unique scenario for our customers. And so, um, yeah, the innovation is going to keep coming. You know, I mentioned bare metal as a service because many people are starting to really leverage the metal that's out there. You're seeing us also engaged with folks like intel on our silicon on demand. So this is a really exciting technology because what it allows us to do is turn on cores when we need them. So hey, I need additional capacity. I need some power. Let's turn on some cores. But then I turn off those cores when I'm not using them. You go to a software core based software pricing model, like an oracle or a sequel server. I'm saving dramatic cost now because I don't have to pay for all the cores that are on the system. I'm only paying the licenses for the ones that I use. And so that should bring dramatic cost savings to our customers as well. So we're looking from the silicon all the way up. Uh you know, you hear us talk about project Aurora, which is our security capability. We're looking at the silicon level, but we're also looking at the the container and bare metal and then obviously the workloads in the industry solution. So we're sprinting forward. We're listening to our customers were taking their feedback. We're seeing what they're prioritizing and because we have that tight relationship with them as we help move them to the direction they want to go, it's giving us a ton of fantastic inside information for what really matters. >>Right, Thank you for that. So, I want to ask you about data. A lot of organizations are kind of rethinking their ideal data architecture, their organization. They're they're they're seeing the amount of data that is potentially going to be created at the edge, thinking about ai inference and influencing at the edge and maybe reimagining their data organization in this age of insight. I wonder how Green Lake fits into that. How are you thinking about the new era of data and specifically Green Lakes role? >>Yeah, you mentioned the age of insights and and it really is right. So we've moved sort of as the next phase of digital transformation is basically saying, hey look, I've got all this data. I've got to first get my arms around my data estate because in essence it's in all these different pockets around. And so Green Lake gives you that ability to really get that data estate established. Then I want to take and get the answers in the analytics out of it. And then I want to monetize that data either out to my customer set or out to my industry or out to other scenarios as well. And so as we start to deliver our develops capability, our ai and analytics capabilities through HPC. And it's an open platform. So it allows data scientists to easy boot up easily boot up a cluster with which to do their models and their training and their algorithms. But we can also then use and Estancia at that into the business decisions that our customers are trying to make again without the significant cost that they're seeing on that on the public cloud side and in a very secure way because they have the data exactly where they need it. You'll see us continue to do sort of disaster recovery and data protection and those types of scenarios both with our partners and from H P E. So it's exciting to just understand that now you're going to have the tools and resources so you can actually focus on those business outcomes versus how do I protect the data? Where do I start, how do I get my model set up, etcetera. All that becomes automated and self service. You mentioned earlier >>When you talk to customers Keith one of the big sort of challenges that you're addressing. What's the typical, there was no typical but the but the real nuts that they're trying to crack is it financial? We want to move from Capex to opec's is that hey we want this cloud model but we can't do it in the public cloud for a variety of reasons, edicts, organization leaders or we want to modernize our our state. What are the real sort of sticking points that you're addressing with Green Lake? >>Yeah, I think it's threefold and you sort of touched on those. So one is, it really does start with modernization. Hey, you know, we've got to take costs out of the equation. We've got to reduce our carbon footprint. We've got to automate these things because we have limited resources and how do we maximize the ones that we have? And so I mentioned earlier, getting out of the data center, modernizing our apps, really monetizing our data. So I think that's number one. Number two is what you said as well, which is, hey look, I don't need to have all these capital assets. I don't want to be in charge of managing all all these assets. I just want the capability and so being able to sell them that service that says, hey, we can, we can do X number of desktops for your V. D. I. We can run your S. A. P. Environment or we can make sure that you have the, the analytics structure set up to be able to run your models that becomes super compelling and it frees up a lot of resources in cash on that front as well. And then I think the third thing is what you said, which is the world is hybrid. And so I need to find out what's going to run best in my on prem environment and what's going to run best up in the cloud. And I want to be able to optimize that so that I'm not wasting costs in one place or the other, and I want to be able to govern and govern that holistically. So I have the ability to see what's happening end to end across that so I can manage my business most effectively. So I think those are the three big things that people are really excited about with Green Lake as they enable those things. Um and you know, the reality is that it also means that they have a new partner to help them really think through how can they move forward? So it's not them by themselves. Uh It's really in a one plus one equals three type scenario and then you bring the ecosystem in and now you've got, you know, things working really well. So, >>so big enterprise tech, it's like, it's like the NFL is a sort of a copycat league. And so what, you know what I'm saying? But you guys all got >>big, yeah, >>you've got great resources, hey, this West Coast office exactly is gonna work. We're gonna get a short passing game going. And so that happened. So I feel like, okay, you've raised the bar now on as a service and that's gonna become table stakes. Um you know, it's got a lot of work to get there. I know, and it's a it's a journey, but but when you think about the future uh for H. P. E. Uh what's exciting you the most? >>I think what's exciting me the most is this the reaction that we're seeing with customers because in essence it gets them out of the bits and bytes and speeds and feeds and you know, um >>you >>know, component goo and really gets into business value, business outcomes sls and, and that's what they're looking for because what they're trying to do is break out of, you know that day to day and be able to really focus on the future and where they're going. So I think that's one, I think the second big thing is as you see all these things come together, um you know, we're able to basically provide customers with, I would say a mindset that's like, hey, I can do this holistically, but I can always pick and choose the best that I want and if I ramp up, I have capacity. If I ramp down, I don't have to pay for first scenarios. And so I'm getting the best of both worlds across that piece of it. And then third is I mentioned it earlier. But this whole relationship thing is so important because you know, this isn't about technology anymore. As much as it it is about what's the value that you're going to get out of that technology. And how does that help us move the company and the world forward? Like I love the fact that H. P. E. Was so involved in this pandemic. >>You know, >>with our systems were able to actually uh to run a set of of algorithms and analysis on how to, you know, find a vaccine on how to how to address the things that are going forward. You've seen us now up in space and as we, we broaden our frontier and so as a company you're seeing technology turned into things that are truly helping the world go forward. I think that's exciting as well. >>Yeah. Space. It's like the ultimate edge. >>I >>like you said to me if I take it, it's not not about ports and Mick, nips and gigabytes anymore. It's about the outcome. You mentioned before the S L. A. Um, you know, the thing about, you know, think about virtual, it's great. We have to get in the plane. Its downside. We all know we can't hang out, you know, afterwards, you know, have a drink or you know, chit chat about what's going on in the world, but we can't reach a lot more people. But the other downside of virtual is, you know, you don't have the hallway track. It's not like, hey, did you check out that, that demo on IOT? It's really cool. Where is that? So give us the hallway track. How can folks learn more about discover where would you direct folks? >>You bet. You know, I'm doing a full spot. Obviously let me start with at the top right Antonio Neri our ceo he's going to lay out the whole strategy and then I'll have a spotlight. It's about a 30 minute deep dive on all of these things that that you and I just talked about and then we've got a bunch of breakout sessions were doing some with our partners like Nutanix and others, um, Microsoft as well as we talk about, we didn't really touch on that, but you know, we have a strong partnership with the hyper scholars with Microsoft and with others because in essence customers are expecting an integrated solution that's hybrid. And so, you know, we're showcasing all of that with the with the discover breakouts as well and they're available on demand. We have a huge opportunity with respect to that, so really excited and you know, frankly we're here to help, like I hope people understand this is our opportunity to help you be successful and so please know that our ears are wide open to hear what the challenges are and we're ready to help customers as they needed. >>I'm glad you mentioned the partnership with Microsoft and other hyper skills. I feel like keith, the the Hyper scale is giving us a gift. They've spent last year they spent over $100 billion on Capex build out. That is like, it's like the internet. Thank you. >>Now we're gonna build on >>top of it, we're gonna build an abstraction layer that hides all that underlying complexity. We're gonna connect things and and that's really your job. That's really kind of what you're bringing to the table I think with Green Lake and some of these innovations. So >>I really >>appreciate it. Go ahead please. >>I appreciate the time as well. It's always a pleasure and it's always exciting to get a chance to share with you and and as always, any time you don't want me back, I'm happy to happy to join. Alright, >>would love to do that. So appreciate that. And thank you for spending some time with us. Stay tuned for more great coverage from HPD discovered 21 everything is available on demand as well as the that is the other good thing about virtually go back and watch all this content. This is Dave Volonte for the cube the leader in enterprise tech coverage. Be right back

>>Hi and thanks for joining us today. I'm Arwa Qadoura, vice president of Goto Market for HP Green Lake. In this session, we're going to explore a few of the ways we're bringing the cloud to your data center and co locations, especially for your most demanding workloads. We'll show a few examples of how we do this and how we can help you with HP. Green Lake with HP Green Lake were leading the market for on premises and hybrid cloud. With a decade of experience and over 1000 customers, we've been able to continue enriching our portfolio of services, leveraging the vast input from our customers. And what we're hearing now is they want us to take on the apse and data that are most critical to run their business on our customers. Love the cloud experience and wanted available everywhere, including their data center and Coehlo H. P E. Green Lake is the cloud that comes to you. We deliver a cloud experience for your >>infrastructure and workloads in your data center or co location and at the edge. HP Greenlee Cloud Services offer consumption based economics and scalability for a wide range of platforms. All managed for you by HP or by a rich ecosystem of partners. In June, we brought the Self service point and click experience of the cloud to our new services for containers, virtual machines and ml apps, and dramatically sped up the delivery of our infrastructure services with standardized building blocks T shirt sized that you can get in ASL. It'll us 14 days and a few weeks ago we added V. D. I as a service to meet the strong demand to help your employees around the globe work securely wherever they may be. Today we will look at four examples of how we provide the cloud experience for the workloads that are most critical to run your business, and we'll give a few industry examples. First, we'll talk about helping financial institutions manage risk and compliance. We'll talk about improving health care with a secure, flexible electronic health records platform, optimizing production and delivery for manufacturing with S A P Hana and answering your biggest questions with high performance computing. When we talk about thes demanding workloads, whether we're talking about inventory management, payment processing, medical imaging or any additional ones you see here, two things typically hold true. First, they're very difficult to move to the public cloud due to the challenges around Leighton See and Performance data Gravity I P. And Privacy Protection and the data entanglement with many other APS. And secondly, they require app specific expertise to implement and integrate continual performance optimization, strong resiliency, security and compliance management. And container is a shin to achieve mobility. These air tough to meet but essential toe have. If you're betting your business on these workloads, we've helped our customers meet these challenges and requirements in the data center. Let's start our discussion about these workloads with managing risk and compliance. Risk and compliance management require analyzing huge amounts of data streaming in real time through the organization, and Splunk is widely used for this as the scales. We have found that often infrastructure is the bottleneck and organizations develop blind spots. Due to this, this means they could only see some of the data. Scaling and making changes is also a slow process with such a complex set of infrastructure, and I T resources often don't have the skills to manage new platforms such as container based implementations. We've looked at the situation and built a differentiated architecture er to solve this challenge. The solution is container based, using the HP as moral container platform. It's an infrastructure that is tuned for Splunk and resulted in a big reduction in the total servers needed. It's delivered as a service through HP Green Lake on premises fully managed to make adoption fast and to cover the skill gaps, I t may have the outcomes. We tested our approach and found the dramatic improvements you see here. Infrastructure efficiency improved dramatically, with 17 times increase in throughput and 12 Splunk indexers per host, up from one. Compliance and insights into risks improved from removing the blind spots with a 10 times reduction and infrastructure needed to ingest up to 8.7 terabytes per host per day. And customers have a greatly simplified I T operating model by moving to HP Green Lake fully managed so that HP takes care of the container and infrastructure management. Next, let's talk about improving health >>care with a secure, flexible e HR platform. The global pandemic is putting an extraordinary burden on an industry whose budgets and resources are already stretched to the limits and H P can help health systems in medical research institutions around the globe recognize the value of HP Green Lake for our infrastructure as a service needs scalable storage for high resolution medical imaging, high performance compute for medical research and v. D. I. For the digital workplace. Today we are pleased to introduce the platform for epics E H R System. This is a full platform. As a service offering for Elektronik Health Records, the service supports the epic software stack with validated HP infrastructure and epic certified expertise to run the full environment for you. This enables health care institutions toe offload the complexities of moving to and operating a modern epic platform, reducing cost risk and time with a fully managed paper use cloud service in their own data center or cola facility. Now our customers could focus on delivering life affecting healthcare outcomes and not on the nuances of daily technical operations and upgrades. So how is HP qualified? Think back to the requirements we talked about for expertise. We have a 25 year partnership with EPIC, and over 65% of epic customers use RHP infrastructure, including storage servers, software and networking. We know epic and are trusted by epic customers. We have a dedicated program management office with focused epic resources to help health care systems make the most of their epic platform improving their quality of care, financial performance, work, low efficiency and, most importantly, their patient outcomes. The next workload I'd like to cover is S a P Hana s A P Hannah runs many if not most manufacturing organizations, including our very own. Here in h P s A P finds that 70% of customers are looking to remain on premises with S A P Hana as they migrate toe s four For the reasons we discussed earlier performance, resiliency, security, I protection and control. And we're proud to be one of Aesop's most critical technology partners, running approximately 40% of the on Prem s a p customer base. Thes customers trust HP infrastructure to run their critical s a p environment and we're excited to extend the value into a fully managed on Prem Cloud service. Today we bring the cloud benefits of HP Green Lake toe s a P Hannah customers on premises in two ways. Standard hp Green Lake uses S a P certified technology from HP with the scalable paper use model with H P's outstanding support and management services ready to meet the demanding requirements of S A P. Hana. And now we are working with S a P for the S A P Hana Enterprise Cloud Customer Edition which is powered by HP Green Lake and fully managed by S A P for you, which is the sap cloud in your data center. HPD point next services are essential to our customers. One of the reasons that customers choose HP for workloads such as SAP is our expertise from strategy all the way to operation with advisory and professional services specific to your application. We help you succeed. HP understands migration toe s A. P s four hana and as the leading technology vendor of S a P Hannah Infrastructure and a large s a p Hannah customer ourself, we have the expertise within our advisory and professional services. To ensure your success as you move to s four, HP has delivered over 1500 s, a p Hana consulting projects and HP point Next services has the expertise globally to accelerate time to value and mitigate your risk. And lastly, HP offers a center of excellence Experience for S a P. Hannah providing specialized support from our experts Toe optimize operations for S a p environments The last and maybe the most demanding workload that will cover today is HPC high performance computing. Today we are announcing H p e Green Lake for HPC. This is an exciting time as we bring our cloud services to HPC wherever you need it. As the leader in HPC, we have significant i p To give HPC customers. We offer the speed and scalability that you need with components such as high speed interconnect, high density compute platforms and software to manage HPC operations and performance. And unlike other technology companies, thes are all from HP, fully integrated, fully supported and can be fully managed by HP. And we've built an ecosystem of I S V applications that we closely collaborate with to make HPC run seamlessly high. Performance computing can get complex with HP. Green Lake for HPC will simplify the approach without taking away any of the power. Pick the starting point that fits your use case small, medium or large, and get started. These building blocks are HPC optimized, meaning you could bring the technology that we use to predict weather or decode the human genome to your everyday APS. No capital up front, pay for what you use and the implementation is managed for you. With our building block approach, we can eliminate the long design and implementation phase, which could take months or even a year over time as your clusters grow, modernize and change H p e Green Lake Capacity management helps you always have capacity ready ahead of your needs. What is the experience with H. P Green Lake for HPC, you order, we deliver in as little as 14 days. We install your systems and you can quickly deploy your HPC APS. With the new point and click service experience, researchers and analysts can get access to their HPC cluster resources from the self service portal without putting. I t in the middle of every request we manage the clusters for you. Take care of upgrades, performance and growth, and you pay based on what you use. Simplifying HPC economics and operations. This is how we bring a cloud to your most demanding workloads. So we've covered a lot, and the big question is, so what? How do you benefit analysts have found that with HP Green Lake, you save 30 to 40% on total cost of ownership by eliminating over provisioning, which on its own is huge. But the additional benefits are equally important to our customers. You can speed deployments of projects by 75% cut your risk with 85% less unplanned downtime and improve ICTY productivity by 40% due to the services, including that greatly simplify I t operations. What's next? If you want to learn more about how we bring cloud services for your most demanding workloads, whether they're for risk management, E H. R s, a, p or HPC, or for other workloads you depend on us for Please engage your HP account team or your HP partner. If you're already are a customer for HP Green Lake, thank you. And we're ready to globally help you with your next project. And, of course, please visit us at p e dot com. Backslash Green Lake Thanks for joining me today.

>>from around the globe. It's the Cube with digital coverage of HP Green Lake Day made possible by Hewlett >>Packard Enterprise. Okay, so we're deep into H B E Green Lake Day Hope. Hopefully, you've enjoyed the spotlight sessions with Keith with with Pete, with Addison and and Skip from Splunk and, of course, the platform session that our Qadoura hosted. You know, we're going for proof points here. We really want you toe squint through the narrative today and see for yourself what's what's really here and the kind of progress that HP is making with Green Lake. So thanks to everybody for joining the conversation, we now want to turn our attention to more proof points. The next segment of this HB Green Lake day is where you'll have further opportunities toe Learn mawr about Green Lake and how you might apply it to your business. Now, if you're interested in watching watching additional sessions, we have two new ones available for you to see. The first is a session on the new managed security service from H P E with HP Green Lake, Or you could take a deeper dive into high performance computing with Green Lake just look, navigate the agenda tab and select one of those two sessions. They're available at any time. But if you want to stick with us for the live show, we have to live demos in our meat experts sessions, where you'll have the opportunity to ask your questions and have real time interaction with the experts from HP. In fact, I have Steve Showalter and Ash nor here, and they're with me right now to tell you a little bit about their meet the experts sessions. So, Steve, let's start with you. Tell us a little bit about yourself and what you'll be covering in your demo today. >>Sure, Thanks, Dave. My name's Steve Showalter. I'm a part of the Green Lake Cloud Services R and D Team Super excited to be here today, and I hope everyone conjoined our session coming up or we'll take a deeper dive and a live demo of Green Lake Central. In case you haven't seen it before, Green Lake Central's a platform we used to deliver services and capabilities to our Green Lake customers. In Todays Demo will show you how we've designed Green Lake Central to take a persona based approach to deliver the right capabilities and insights to various constituents in our customers. Organizations, for example, will show how a CEO or CFO would use Green Lake Central to view their green light consumption and costs and compare those two public cloud costs from AWS or azure right within the same reporting tool. We'll also show you how a nightie operation staff would use Green Lake Central to engage in capacity planning for their Green Lake environment or manage their Green Lake private Cloud services. We also show how end users within a customer and environment would use Green Lake central to self service and lifecycle manage resource is from these Green Lake Cloud services, or even how a chief security officer would use the continuous compliance capability that we delivered through Green Lake Central toe understand their real time compliance posture against whatever regulatory frameworks they may need to be audited against. So I hope you can join me for this informative and interactive session and look forward to seeing everyone there. >>That's awesome. It sounds like some great details. Their full 3 60 view great visibility are snore. So tell us a little bit about yourself. What's going on your session. Give us Give us the hook. >>Hi. I'm marginal product manager for Green Lake for containers, Um, and three leg for containers is our upcoming service, which promises a true cloud like experience with massive operational simplicity. Uh, this offering is built on our experience middle container platform software and aims to bring speed and portability. Tow both your cloud native and non cloud native applications. Using open source communities, we have a unique data fabric that provides persistent storage for state fel applications. And today you'll see how we demystify communities, operational complexity and provide value to various personas throughout the containerized application life cycle, for example, an idea it men will have all the standardized communities cluster templates on invent automation to spin up the environment for a developer in just a few clicks. And the developer has to just focus on continuous deployment and delivery off their applications on a CEO gets complete visibility across different communities. Clusters for the cough. >>That's awesome. I mean, we know from our data that containers generally kubernetes specifically one of the most significant areas where customers are are spending time and money, so that all sounds fantastic. so you can. You having trouble deciding what you're gonna go to? We're gonna have the chance to see both demos if you want. So we'll be live for the next hour with each meet the expert session. So we're gonna run him twice If you can't decide. Go to both. Okay. Thanks for watching HB Green Lake Day. You're watching the cube?

>>lie from Copenhagen, Denmark. >>It's the >>Q covering Nutanix dot Next 2019. Brought to you by >>Nutanix. Welcome back, everyone to the cubes. Live coverage of Nutanix. Stop! Next here in Copenhagen, Denmark. I'm your host, Rebecca Knight, coasting along side of stew minimum. Of course. We're joined by Regime Mirani. He is the CTO clad platforms at Nutanix. Thank you so much for coming on the Cubans. You need >>to be here as usual. >>So you were up on the main stage talking about your guiding force. Your mission to make enterprise computing so reliable, so ubiquitous that it's invisible. >>You don't think about >>it. You don't even get a little No, I mean, look, >>if you look at any successful technology, consumer technology doesn't need to be aware of the details around it, right? I mean, take cars, even because the first introduced you probably had to understand Rick operate. There was how it all works. Remember for water in the radiator. But most people don't know how to do that today. I wouldn't know how to do that today, even though my Utah actually had to do some of those things. Um, that isn't the point. of the cars or self driving. Now the same thing should happen to computing. And we spend way too much time today just doing things that keep the light. Don't nights on. Just imagine infrastructure patching things up, grading them. I really should be something that not what idea is doing i d should be focusing on the business, delivering applications that their customers need and not so much on managing infrastructure. >>Rajiv, that one click Simplicity is so important, yet we know things are becoming even more complicated. Bring us inside a little bit that you know, you've got 14,000 customers. Guess and there's been a major, basically rewrite of a less to be able to be ready for all of the new ash cloud Native envy me obtained, you know, you name it all of these things. How do you balance getting all of this new stuff up with making sure that you keep that simplicity and don't make things for all of your customers while all the jet engines, uh, you know, >>it takes constant effort. It takes a conscious effort to make sure that things are in drifting away from our goal of being simple and to be frank. At times it has and you know, we periodically to audits off all our work floors. Make sure that as simple as you think they are and haven't drifted over time. And occasionally we do find some rail clunkers and have to go back and fix those things. What >>makes it >>different is that we start with a fairly opinionated view on how things should be done. The idea is to make it simple for 99% of the people, while still offering the all that washed options of one person power users would need them and making sure that we understand what 90% 99% of people need. And focusing on that is very important to a lot of customer focus study sort of design reviews, but also this constant going back and you're taking work feel like we m creation like provisioning of'em. When he started, it was pretty simple right then, as we started adding more and more options eyes, this thing going to use a PC I passed through isn't going to use this option. That option suddenly realized that now they're 30 things that people are feeling into provisional we have, most of which nobody cares I care about. So you go back, read I tte keep doing that again and again and again. >>So rich Eve It's one thing when you talk about living on different servers, whether it be super micro underneath or Delhi Emcee Lenovo H p e. It's >>gonna be a >>little bit different if you're talking about where you're going with H p E Green Lake with, you know, the X in AWS that you talk about when I talk to people, you know, it's like, Oh, I'm trying to use terror form and you know, But I have to write it. One way to work with Amazon. I have to write it another way. If it's, you know, azure G C P S o. You know, will Nutanix be able to keep that simplicity and bring, you know, homogeneity to thes dispersed invite? >>Absolutely. So the point is, watch a layer of abstraction right the way we are going to public cloud away we go every server winter out the way of doing things and sigh all if it starts with the hyper wiser and the story of stock and networking with three layers of abstraction. And if you have the same three components everywhere, everything we built on top of that remains exactly the same. Prison was the same on a P S. On the same. Everything looks the same. So higher level constructs like calm and so on don't have to be aware of what the actual substrate is creating a calm blueprint, whether it works on ZAY on AWS or whether Trump's on SX or whether runs on Nutanix H way. The blue blueprint remains exactly the same. Now, if you want to consume more, service is if you want to consume. So this is an Amazon, which are not available on premises. You want to use things like auto scaling groups in Ec2. Sure, you could then create blueprints that our customers we're putting in the substrate. >>So, in terms of this, you said, you start with a very opinionated place of where the customer is well, First of all, it's based on customer feedback and customer surveys. And so where were are you right now in terms of where the customer is? Are you meeting the customer now, or is the customer ahead or what? Where would you describe that? I think it >>depends on what you're looking at. If you're looking at the core products, absolutely, the customers are with us. They were ready to consume. They actually drive a lot of the innovation that we're doing. We're feeding, feeding back changes that we could be doing to make things even simpler on the private cloud side that's getting there. I think we get a lot off feedback on files on on present pro on com on on Flow because those have started getting a lot of adoption in the market, and we do get a lot of feedback on them on. So our newer products that you started a war being more recently, it's a more collaborative process. There were actually working with customers directly understanding their problems on dhe, moving a roadmap forward based on that. So while it's early in terms off adoption in production, the whole process is very collaborative in those situations. So we really are very close to the customers there. >>What are some of the biggest customer problems right now that they're facing what's what's keeping them up at night and therefore keeping you up at night? >>Security is always a big one. Complexity, people skills. All those things are big problems. In fact, one of the biggest things like that was just training enough people to handle all the complexity in a data set. Is the Morrigan removed from that? The more they don't have to focus on that, the easier you make their lives. The other thing is just a lot of time to spend on routine activities which, which acquired disruption to service is right. This is something we've talked about before. Why does it Why does it require a legacy three tier system to have maintenance windows and downtime to do an upgrade? Google our has downtime. Google is never down for maintenance. Doesn't mean they're not already there waiting all the time. So how do we bring that same kind of capabilities on premises that's gonna focus our long power? >>So, Rajiv, when I'm talking to users out there, when they talk about all of the items that are out there that they need to deal with and the routine task automation is something keeps, you know, coming up. So tell us where automation fits into some of the new things that you were talking about today in this week with your customer? >>Yeah, automation >>for us. Waking automation in three steps anything that's automatic better be safe. First of all, safety is paramount. Started security. It has to be simple, and we talked about how calm provides for that. And then you can start adding in this new wave off technologies around artificial intelligence and machine learning. And it's not so much about automation right now. It's all gone to me. It's it's autonomous operations, not just scripts. That due to a task on dhe, that's >>an area >>we invested in very heavily early on with our prison pro product way, build our own patented or thumbs for machine learning applied them to operational metrics like capacity planning. And what if modeling and dynamic alerts and what we've been doing with that is extending that more into the application layer so that not only can you apply these algorithms to CP when memory, we can actually get insights into Hey, the Leighton see on this particular application looks somewhat unusual, or the amount of cash available on a sequel server is unusually low and act on those, and the other part is acting on on alert. Something happens. There's a human being need to get in wall to solve for that. And if it does, then well, it's not really automatic. Right? So that's the other part that we introduce, which is a cross for a product which lets you define these action chains that automatically, uh, what about to be triggered when Annie went on alert takes place, they can go ahead and fix the problem. But also, you know, simple things like send your slack notification or an email locked. They went, maybe create a snapshot of your wee am so that you could go back and be back problems later. All that sort of thing made really, really simple. >>Yes, it goes back to the simplicity and the invisibility to this. >>Yes, yes. Uh, autonomous data centers, by definition, have to be invisible, right? If if if If you're to get involved in marriage and autonomous Data center, then what's the plane? It's a point. Exactly. So the whole idea is that, uh, human involvement in day to day operations against solo that everybody's focused on applications on line of business use cases. >>Rajiv, when it when it comes to those applications. You know, you talked about some of the new enhancements like envy me on and obtain, You know, Where are your customers today? You know, Are there any interesting applications that you're seeing them deploying today? Ah, Pattern. I've talked about the last couple of years of the Nutanix show, is modernized the platform and then modernized the absolute top of it. Things like container ization. I'm sure to bell curve in a journey where all the customers But you know, what are some of the patterns that air starting emergen where they finding success? >>Yeah, This >>whole wave off new applications around data pipelines with Kafka spark things like that Apache stack effectively which are putting more more off load on storage in particular. So that's that's one area. We see customers looking for more performance. But >>even, >>you know, some of the traditional ah traditional uh, applications like ASAP Hana and epic and meditate expanse. They also have patterns which can benefit greatly with some of that wants wants that we have been making and gets a technical issue. No, The size of the working said with it all fits and car and on sst was spitting on magnetic drives. But something like we've been doing is moving the overheads. If you do have a miss and you go to slow a media, you still get good performance. And that's really how we're getting good to the new. >>Well, yeah, maybe without getting, you know, we don't need to go drill down into the core of the intel chip everything. But you know, Nutanix doesn't just take off the shelf stuff and, you know, put a box together. It's software, and there's work that happens with your partners in the ecosystem. Give us a little flavor as toe. You know where you're making the investments and where some of those partnerships and integrations or a key? >>Yeah, So on the platform side, Ah, a lot of the investments happen in validation of the platforms, making sure that we're ahead of the curve in adopting technologies but also feeding back from our side things we would like to see in the platform. Right? So how do you adapt things like R d m A. To handle not just the traditional work with the happy converge workload? How do you essentially look for things in this new class? of memories that would benefit from data locality for us. So that's one class off partnership that we have the hardware vendors with GHB, with Intel, with the IBM, a whole bunch of people. But >>then >>we also have partnerships up the stock these days with companies like service. Now, with we for backup for for our mind product. I think you saw a little bit of that today. It's a whole bunch of things happening across all areas. >>One of the things that it really comes across at this conference is just how strong Nutanix culture is. The company culture, the humble, honest, hungry and another word that's creeping in now is resilient. I'm wondering if you could talk a little bit about your division of the company and describe how the company's resilience, the employees and the company itself has really displayed itself. >>So, you know, as it any company you know, Any time you go through the kind of growth we have, there's the forward momentum that everybody sees. They also a lot of setbacks that people don't really see, and they've been a whole bunch of us off these in our history. They've been areas where literally. The product has has a floor which is so fundamental we call it internally a near death experience. What's really great until again, from an engineering point of yours, how the teams come together at that point instead of these war rooms, even working weekends, Everybody's there. Everybody's on it and nobody talks about. Hey, look, where's my work? Life? Balance of things like that, especially when they're the customer in world. If there's if there's a problem that's causing customers outages, our engineers will give up everything. They'll give up everything and not just at work with their lives to make sure that gets fixed. And that has helped us get Basti setbacks get back in stride. Happens last Now. It used to happen a lot earlier, but spill this real culture resilience from the big *** in the early engineers. >>All right, Rajiv, what's exciting? You going forward? You know you don't have to touch on this one. But you know, when I saw at the end, the site clusters and hibernate feature was something that was like, Oh, yeah. I don't think I've seen that as to how I could make sure I save my data be ableto, you know, Shut things down. Maybe start there. But give us You know what a little bit. Look forward as to where the team's playing. >>Now, that's kind of, >>you know, thinking that detail thing that you have to do. What, you want to launch a new product, right? Okay, look, the whole point of doing doings, I clusters on Amazon. One of the biggest use cases. This cloud bursting cloud busting is not just about increasing your workload size, scaling it up at some point, you want to scale it down? How do you do that for state for work? Stateless. It's easy. All I'm registering Web servers over that sort of my way, they're gone. But our database that I scaled out over there well, that data can't go away. So we had to find ways to essentially solve for those from. So that's how the hibernate feature came around in general, The bigger question that you asked about, You know what I'm most excited about? I >>think this >>whole convergence of private and public cloud with same stack on both sides is a new new tank. It really hasn't existed before. Um, the father applications can now move back and forth seamlessly between public cloud and private cloud without rewriting without re factoring without a big lift and shift is very, very interesting. But by itself, it's not enough. Um, the flip that's missing is what about data movement? What about if you have your data and Amazon and I want to move it on premises? That there really are no good solutions of the Amazon doesn't give you a P eyes on dhe the tools to do that. So I think data movement's gonna be a big thing. And then Billy, a common service's tack on board because it's not just networking, storage in and compute anymore, right? If you're an Amazon, you're probably using all kinds off. Networking service is security groups. Ah, Route 53. How do you take those kind of service is and also make them available on premises. >>So, Rajiv, is there anything you've learned as a team when you look at AWS outposts or Oracle clouded customer, we've had a few years of talking about, but not a lot of deployments yet, so, you know, not saying you're late to the market, but you know what would have been able to sit back and learn from what has been done so far. >>So the >>reason we >>a little bit late to the market is that we think of solving a problem which the other windows are not, Which is kind of what I alluded to before that is that how do you support both the legacy applications on the cloud Net Cloud applications? How do you provide for migration both ways? Applications of a born in the cloud and now you want to move them on premises or applications of a born on premises and you want to move them to the Cloud Outpost is great. I think it's a good good product of technologies that AWS are thinks that hybrid is the right strategy, but it's also one problem. It's also the problem off cloud applications running on premises it does not solve for the problem of legacy applications running and cloud right, that is just a cz difficult as ever. That's that's not become any easier without force. Similarly, if you look at what we are very swing with AWS, it's also legacy applications going going to AWS. But in doing so, they don't have access to all the different networking services that AWS offers because you're not running and a sex, and you're kind of running a different networking start tonight. So with well, thought long and hard about this problem. And I said, Hey, look, we're not going to take the easy answer over here. You can take Take our stock, which is known to run both legacy and cloud native applications. If probe in that on Internet natively into Amazon so that you can use Amazon service is you can use our service is you can a legacy. Applications can run more than applications without giving up. Anything on that, I think is why signal this longer? But I think it's a more powerful solution for the long term. >>Thank you so much for coming on the Cube. It's always a pleasure having you on my back and see us again. Thanks. I'm Rebecca Knight for stew. Minutemen stay more of the cubes. Live coverage of dot Next Nutanix here in Copenhagen,