>> John Furrier: Hello, welcome back to theCUBE's coverage of Cloud Native Security Con 2023 North America the inaugural event. I'm John Furrier, host of theCUBE, along with Dave Alonte and Lisa Martin covering from the studio. But we have on location Emmy Eide, who is with Red Hat, director of Supply Chain Security. Emmy, great to have you on from location. Thanks for joining us. >> Emmy Eide: Yeah, thank you. >> So everyone wants to know this event is new, it's an aural event, cloud native con, coup con. Very successful. Was this event successful? They all want to know what's going on there. What's the vibe? What's the tracks like? Is it different? Why this event? Was it successful? What's different? >> Yeah, I've really enjoyed being here. The food is wonderful. There's also quite a few vendors here that are just some really cool emerging technologies coming out and a lot from open source, which is really cool to see as well. The talks are very interesting. It's really, they're very diverse in subject but still all security related which is really cool to see. And there's also a lot of different perspectives of how to approach security problems and the people behind them, which I love to see. And it's very nice to hear the different innovative ideas that we can go about doing security. >> We heard from some startups as well that they're very happy with the, with the decision to have a dedicated event. Red Hat is no stranger to open source. Obviously coup con, you guys are very successful there in cloud native con, Now the security con. Why do you think they did this? What's the vibe? What's the rationale? What's your take on this? And what's different from a topic standpoint? >> For non-security specific like events? Is that what you mean? >> What's different from coup con, cloud native con, and here at the cloud native security con? Obviously security's the focus. Is it just deeper dives? Is it more under the hood? Is it root problems or is this beyond Kubernetes? What's the focus, I guess. People want to know, you know, why the new event? >> I mean, there's a lot of focus on supply chain security, right? Like that's the hot topic in security right now. So that's been a huge focus. I can't speak to the differences of those other conferences. I haven't been able to attend them. But I will say that having a security specific conference, it really focuses on the open community and how technology is evolving, and how do you apply security. It's not just talking about tools which I think other conferences tend to focus on just the tools and you can really, I think, get lost in that as someone trying to learn about security or trying to even implement security, but they talk about what it takes to implement those tools, What's behind the people behind implementing those tools? >> Let's get into some of the key topics that we've identified and get your reaction. One, supply chain security, which I know you'll give a lot of commentary on 'cause that's your focus. Also we heard, like, Liz Rice talking about the extended Berkeley packet filtering. Okay, that's big. You know, your root kernel management, that's big. Developer productivity was kind of implied around removing the blockers of security, making it, you know, more aligned with developer first mentality. So that seems to be our takeaway. What's your reaction to those things? You see the same thing? >> I don't have a specific reaction to those things. >> Do you see the same thing happening on the ground there? Are they covering supply? >> Oh, yeah. >> Those three things are they the big focus? >> Yeah. Yeah, I think it's all of those things kind of like wrapped into one, right? But yeah, there's... I'm not sure how to answer your question. >> Well, let's jump into supply chain for instance. 'Cause that has come up a lot. >> Sure. >> What's the focus there on the supply chain security? Is it SBOMs? Is it the container security? What's the key conversations and topics being discussed around supply chain security? >> Well, I think there's a lot of laughter around SBOM right now because no one can really define it, specifically, and everyone's talking about it. So there's, there's a lot more than just the SBOM conversation. We're talking about like full end-to-end development process and that whole software supply chain that goes with it. So there's everything from infrastructure, security, all the way through to like signing transparency logs. Really the full gambit of supply chain, which is is really neat to see because it is such a broad topic. I think a lot of folks now are involved in supply chain security in some way. And so just kind of bringing that to the surface of what are the different people that are involved in this space, thinking about, what's on the top of their mind when it comes to supply chain security. >> How would you scope the order of magnitude of the uptick in supply chain attacks? Is it pretty heavy right now or is it, you know, people with the hair on fire or is it... What's the, give us the taste of the temperature in the room on the supply chain attacks? >> I think most of the folks who are involved in the space understand just that it's increasing. I mean, like, what is it? A 742% increase average annual year, year over year in supply chain attacks. So the amount of attacks increasing is a little daunting, right, for most of us. But it is what it is. So I think most of us right now are just trying to come together to say, "What are you doing that works? This is what I'm doing that works." And in all the different facets of that. 'cause I think we try to throw, we try to throw tools at a lot of problems and this problem is so big and broad reaching that we really are needing to share best practices as a community and as a security community. So this has been, this conference has been really great for that. >> Yeah, I've heard that a lot. You know, too many tools, not enough platform thinking, not enough architecture, needs some structure. Are you seeing any best practice around frameworks and structure around how to start getting in and and building out more of a better approach or posture? I mean, what's that, what's the, what's the state of the union for supply chain, how to handle that? >> Well, I talked about that a little bit in my my keynote that I gave, actually, which was about... And I've heard other other leaders talk about it too. And obviously it keyed my ear just because I'm so passionate about it, about partnership. So you know, empathetic security where the security team that's enforcing the policies, creating the policies, guidelines is working with the teams that are actually doing the production and the development, hand-in-hand, right? Like I can sit there and tell you, "Hey, you have all these problems and here's your security checklist or framework you need to follow." But that's not going to do them any good and it's going to create a ton of holes, right? So actually partnering with them helping them to understand the risks that are associated with their very specific need and use case, because every product has a different kind of quirk to it, right? Like how it's being developed. It might use a different tool and if I sit there and say, "Hey, you need to log on to this, you need to like make your tool work this platform over here and it's not compatible." I'm going to have to completely reframe how I'm doing productization. I need to know that as a security practitioner because me disrupting productization is not something that I should be doing. And I've heard a couple a couple of folks kind of talking about that, the people aspect behind how we implement these tools, the frameworks and the platforms, and how do we draw out risk, right? Like how do we talk about risk with these teams and really make them understand so it's part of their core culture in their understanding. So when they go back to their, when they go back and having to make decisions without me in the room they know they can make those business decisions with the risk as part of that decision. >> I love that empathetic angle because that's really going to, what needs to happen. It's not just, "Hey, that's your department, see you later." Or not even having a knowledge of the information. This idea of team construction, team management is a huge cultural shift. I'm sure the reaction was very positive. How do you explain that to an organization that's out there? Like how do you... what's the first three steps you got to take? Is there anything that you can share for advice people watch you saying, "Yeah we need to we need to change how our teams operate and interact with each other." >> Yeah, I think the first step is to take a good hard look at yourself. And if you are standing there on an ivory tower with a clipboard, you're probably doing it wrong. Check the box security is never going to be any way that works long term. It's going to take you a long time to implement any changes. At Red Hat, we did not look ourselves. You know, we've been doing a lot of great things in supply chain security for a while, but really taking that look and saying, "How can we be more empathetic leaders in the security space?" So we looked at that, then you say, "Okay, what is my my rate of change going to happen?" So if I need to make so many security changes explaining to these organizations, you're actually going to go faster. We improved our efficiency by 2000% just by doing that, just by creating this more empathetic. So why it seems like it's more hands-on, so it's going to be harder, it's easy to send out an email and say, "Hey, meet the security standard, right?" That might seem like the easy way 'cause you don't have time to engage. It's so much faster if you actually engage and share that message and have a a common understanding between the teams that like, "I'm here to deliver a product, so is the security team. The security team's here to deliver that same product and I want to help you do it in a trusted way." Right? >> Yeah. Dave Alonte, my co-host, was just on a session. We were talking together about security teams jumping on every team and putting a C on their jersey to be like the captain of the intramural team, and being involved, and it goes beyond just like the checklist, like you said, "Oh, I got the SBOM list of materials and I got a code scanning thing." That's not enough, is what we're hearing. >> No. >> Is there a framework or a methodology to go beyond that? You got the empathetic, that's really kind of team issue. You got to go beyond some of the tactical things. What's next beyond, you got the empathy and what's that framework structure when you say where you say anything there? >> So what do you do after you have the empathy, right? >> Yeah. >> I would say Salsa is a good place to start, the software levels. Supply chain levels for software artifacts. It's a mouthful. That's a really good maturity framework to start with. No matter what size organization you have, they're just going to be coming out here soon with version one. They release 0.1 a few months back. That's a really good place to give yourself a gut check of where you are in maturity and where you can go, what are best practices. And then there's the SSDF, which is the Secure Software Development framework. I think NIST wrote that one. But that is also a really, a really good framework and they map really well to each other, actually, When you work through Salsa, you're actually working through the SSDF requirements. >> Awesome. Well, great to have you on and great to get that that knowledge. I have to ask you like coup con, I remember when it started in Seattle, their first coup con events, right? Kind of small, similar to this one, but there's a lot of end user activities. Certainly the CNCF kind of was coming together like right after that. What's the end user activity like there this week? That seems to always been the driver of these events. It's a little bit organic. You got some of the key experts coming together, focus. Have you observed any end user activity in terms of contributions, participation? What's the story on the end user piece there? Is it heavy? Is it light? What's the... >> Um, yeah... It seems moderate. I guess somewhere in the middle. I would say largely heavy, but there's definitely participation. There is a lot of communing and networking happening between different organizations to partner together, which is important. But I haven't really paid attention much to like the Twitter side of this. >> Yeah, you've been busy doing the keynotes. How's Red Hat doing all this? You guys have been great positioned with the cloud native movement. Been following the Red Hat's moves since OpenStack days. Really good, good line of product, good open source, Mojo, of course. Good product mix, right, and relevant. Where's the security focus here? Obviously, you guys are clearly focused on security. How's the Red Hat story going on over there? >> There was yesterday a really good talk that explains that super well. It was given by a Red Hatter, connecting all of the open source projects we've been a part of and kind of explaining them. And obviously again, I'm keying in 'cause it's a supply chain kind of conversation, but I'd recommend that anyone who's going to go back and watch these on YouTube to check that one out just to see kind of how we're approaching the security space as well as how we contribute back to the community in that way. >> Awesome. Great to have you on. Final word, I'll give you the final word. What's the big buzz on supply chain? How would you peg the progress there? Feeling good about where things are? What's the current progress on supply chain security? >> I think that it has opened up a lot of doors for communication between security organizations that have tended to be closed. I'm in product security. Product securities, information securities tend to not speak externally about what we're doing. So you don't want to, you know, look bad or you don't want to expose any risk that we have, right? But it is, I think, necessary to open those lines of communication, to be able to start tackling this. It's a big problem throughout all of our industries, and if one supply chain is attacked and those products are used in someone else's supply chain, that can continue, right? So I think it's good. We have a lot of work to do as an industry and the advancements in technology is going to make that a little bit more complicated. But I'm excited for it. >> You can just throw AI at it. That's the big, everyone's doing AI. Just throw AI at it, it'll solve it. Isn't that the new thing? >> I do secure AI though. >> Super important. I love what you're doing there. Supply chain, open source needs, supply chain security. Open source needs this big time. It has to be there. Thank you for the work that you do. Really appreciate you coming on. Thank you. >> Yeah, thanks for having me. >> Yeah, good stuff. Supply chain, critical to open source growth. Open source is going to be the key to success in the future with automation and AI right around the corner. And that's important. This theCUBE covers from cloud native con, security con in North America, 2023. I'm John Furrier. Thanks for watching.

>>Okay, okay, we're back, you're watching the cubes, continuous coverage of HBs Green Lake announcement. One of the things that we said on the Cuban. We first saw Green Lake was let's watch the pace at which H P E delivers new servants is what's that cadence like? Because that's a real signal as to the extent that the company's leading into the cloud and today we're covering that continued expansion. We're here with Tom Black, who was the general manager of HPC storage and Omar assad, who's the storage platform lead for cloud data services at Hewlett Packard Enterprise gentlemen welcome. It's good to see you. >>Thanks Dave. Thanks for having us today. Good to see you. >>Happy to be here. Dave. >>So obviously a lot has changed globally, but when you think of things like cyber threats, ransomware, uh, the acceleration of business transformation, uh, these are new things, a lot of it is unknown a lot of it was forced upon us tom what are you guys doing to address these trends? How are you helping customers? >>Sure, thanks for the question. So if you think back to what we launched in early May, kind of the initial cloud transformation of what was our traditional storage business. Um, we really focused on one key theme. Very customer and customer driven theme that the cloud operational model has one and that customers want that operational model, whether they're operating their workload in the cloud or whether they're operating that workload in their own facility or Nicolo kind of the same thing. So that was kind of our true north and that's what we launched out of the gate in May. But we did allude in May to the fact that we would have an ongoing series of new services coming out on the uh H B Green Lake edge to cloud platform. And just really excited today to be talking about somewhat that expansion looks like um we will continue uh through this month and through the quarters ahead to really add more and more services in that vein of focusing on bringing that true cloud services model to our customer. So we're really excited today to unveil kind of, we've entered the data protection as a service market with HP Green Lake. So this is really our expansion into a very top of mind topic and set of problems and solutions or headaches and aspirins, to quote an old friend um that Ceos faces, they think about how to manage data through its life cycle in their organization. >>When I talked to see IOS during the pandemic. Not that we're out yet, but really in the throes of it and asked them about things like business resilience that they said, you know, we really had to rethink our disaster recovery strategy. It was it was sort of geared toward a fire or a hurricane and we we just didn't even imagine this type of disaster if you will. So we really needed to rethink it. So when I, I see your disaster recovery as a service and capabilities like that. Is that the Xarelto acquisition? >>Yes. Dave thanks you. So we're super happy to have the Xarelto team now as part of our family. Um, just a brilliant team, a well respected technology, uh, kind of a blue chips at our customers and partners that really appreciate what zero has to offer. Um, as we looked at the data protection as a service market, one of the hardest problems is really in that disaster recovery space, I think Omar's gonna talk a little bit more about today. Um, but sort of really does bring the leading industry, what's called continuous data protection um, capability into our green lake platform. Um, we've just recently closed the acquisition and we're working on kind of integration plan as we speak now that we can actually talk to each other post close. Um, but you'll uh, you'll continue to see, you know, some really exciting milestones each and every quarter as we march forward with certain now as part of the family. >>So we all talk about how data is, is so important. We certainly learned during the pandemic that that if you weren't a digital business, you were out of business and a digital business is a data business. So things like backup data protection as a service become increasingly critical. I know you have some capabilities there maybe you could share with us. >>Absolutely. So you know, one of the things that we noticed was as we took the storage business through its transformation and we started can work you know, with the launch of the electron 90 and the six K platform. We really really brought the cloud operational model to our customers. So one of the things that you know, feedback that was coming loud and clear to us is that as we look at the storage portfolio where we look at file block and object, which are now being transformed into a cloud operational experience, data protection, disaster recovery coming back into business after a disaster snapshot management. All of those capabilities, we still have to rely on our partner technologies in order to do that now. It's not bad that we have great partners in the data protection world, but what we're really focused on is that cloud operational model and cloud operational experience and to and as tom mentioned through the data management life cycle. So as a result of that, we talked to a lot of our customers, we talked to a bunch of partners and one of the things that was coming back was that yes, there are many data protection backup offerings on the market. But that true as a service experience that is completely integrated to the services experience of the storage that the customers is experiencing that is not there. So what we looked at was especially to the largest ecosystem, which is the VM ware ecosystems. So we're launching data protection as a service or backup as a service for our VM ware customers offered from data services, cloud console as a SAAS portal. 100% SAs service, nothing to install. No media servers, no application servers, no catalog servers, no backup targets, no patching, no expansion, no capacity planning. None of that is needed. All that's needed is sign on click. Give your V center credentials and off you go, that's it. That is it three clicks and you're in business. So currently, you know, in our, in our analysis we offer five x faster recovery from any of the competitive offerings that there there there are 3.5 better de doop ratios. But for our customers is as simple as this. VM is protected as this many dollars per gig per month. That's it. No backup target, no media server, no catalogs are nothing nothing to manage total Turkey off of the portal. So that's the cadence of services that if you promise and this is one of the first ones when it comes to data management that is coming out into the open. >>So you may have just answered this question, but I want to pose it and get you maybe just summarize it because tom was talking earlier about the customer mandate for cloud in a cloud operational model. So I want you to explain to the audience how you're making that real >>actually can I start that one should be the test was monday morning. Getting ready for this chat with you Dave they got me on console and I'm not kidding three clicks, I got back up and running off the lab VM ware instance so I'll pass it off to you the real answer. But if I could do it three clicks >>as well as a convenience of this service, even tom can be your back, you might be able to do with this. Uh again, you know, a very important question the when you, when you look at the cloud operational model as you abstracts the hardware and and take the management model up into a SAS service, it gives our customers that access to that continuous delivery access that we have. We're going to continue to make the service medal better in the cloud model and automatically customers get the value of it without even reinstalling or going through a patch cycle or an upgrade cycle. But as we get into this cloud operational model, one of the things that was missing was uh if you if you if you if you start to talk about applications, how our application workloads going to be deployed, how are they going to be protected and how are they going to be expanded? So what we did was we, we expanded our info site offerings by merging them into the data services, cloud console and we're releasing a new service called app insects. It is going to be available to our customers at the end of the month. Uh It is, nothing has to change. They don't have to install any sort of agents or or host modifications, nothing like that. If their customers of electra nimble primary boxes and they're using info site and data services, cloud console, they will automatically get app insights. What Athens sites does is it really teases apart all that data that we have been collecting within foresight and now with the acquisition of HPV cloud physics, we're merging them together and relating the operational stacked top to bottom. So discovering all the way from your application usage, network usage, storage, use it. IOP usage VM values cross, collaborating them and presenting that to a customer from an app or an outcome perspective all in the data services, cloud console. So what this does for our customers is it really really transforms not only their operational experience but also buying experience. Because if you remember in one of the earlier releases of data services cloud console we released this application called, you know, intelligent intent based provisioning in which you just describe your workload and we go ahead and we provision that app insights and info site, feed that information directly into that and cloud physics generates and results and displays those analytics back to us to your partner of record and to the H. B. So we can all come together on a common data driven discussion point with our customers to continue to make their journey better >>tom where's all the boxes, traditional storage is changing. I've actually been waiting for this day for a long, long time. We've certainly seen glimpses of it from the cloud players, but they don't have, you know, super rich portfolio storage portfolio. They're growing now, but this is a really good strong example of a company with a large storage portfolio. That's, I mean I haven't heard the word three power once today. Right. And so what that says to me, that's an indication that you're thinking like a cloud player, can you maybe talk >>to that? Sure. Yeah, we're just tremendously excited about this transformation and really the reception we've got in the market from analysts, from partners, from customers because you're right, you haven't heard us talk about a box at all today. It's really about a block service, a file on the object service, a backup and recovery service, disaster recovery service. That that's that is the the language, if you will of the business problems of our customers not, do they need to pick this widget or that widget. And how many apps can I get here and there? And which did the h a cage protection scheme be that, is that, is our job to manage underneath are true North, which is the cloud operational model. And so that's going to be really how we we've set our course and how we will uh kind of deliver products solutions offers into the market underneath that umbrella, Ultimately, um getting our customers wherever their data is Dave to be able to interact at that service level instead of at that infrastructure box >>level, you've got my attention wherever the data. So that's the north star here is this is, you know, you're not done today obviously, but you've got a vision to bring that to the cloud across clouds on prem out to the edge. That's the abstraction layer that you're gonna build, your hiding all that complexity. That's correct. And that's cloud. The definition of cloud is changing. >>Yeah, >>it's no longer started, it's no longer a remote set of services. Somewhere up in the cloud. It's expanding on prem hybrid across clouds edge >>everywhere. You're exactly right. Dave it is, cloud is more about the experience and the outcome. It gives a customer than actually where the compute or storage is. We've chosen to take a very customer an agnostic position of whether it's, you know, data in your premise, data in your cloud. We're going to help you manage that data and deliver, you know, that data to workloads and analytics, uh, wherever the, wherever the compute needs to be, where the data needs to be. Again, technologies like Xarelto giving instability and move data across clouds from facilities and clouds back and forth. So it's a really exciting new day for HP. Green Lake were just so super happy to bring these technologies out and really continue to follow on the course of doing what we said, we would do >>the new mindset starts there, I guess it's obviously knew certainly new technologies, uh, you're talking about machine intelligence is a metadata challenge. Absolutely. Big time, you know, long term that North Star that we talked about and applying that machine intelligence, all the experience that you gather data that you're gathering is, I think ultimately how customers want you to solve this problem >>in the middle of info site data services, cloud console and the instrumentation that is already shipping on our appliances, both in edge appliances and the data center appliances were collecting more than a trillion data points over the period of a quarter. Right at the end of the day. So it's harnessing that at the back end to cross relate and then using the cloud physics accusation. What we're doing is we can now simulate these things on behalf of our customers into the future timeline. So at the end of the day, it's really about listening to the customer and what outcomes that they want to achieve with their data storage is there we provide excellent persistence layers where customers can store their data safely. But at the end of the day it's customers choice, They can store their data out of the edge in compute servers, commodity servers, X 86 servers, they can have their data in the data center which they are privately owned or their data can be in a service provider or it can be in a hyper secular. The infrastructure of the persistence layer is independent from the data services. Cloud console data services. Cloud console provides our customers with a SAS based industry leading metadata rich management experience, which then allows you to draw conclusions. So services like cloud physics services like uh enforce it, provide the analytics and richness of the metadata, backup and recovery service allows us to index our customers data and add a rich metadata to that and then combine that with xylitol, which is our disaster recovery as a service offering. Going to start over here. That gives the customer a very simple slider as to where they want their protection levels to be, they want their protection to be instant or they want their protection to be lazy eight hours window. But the thing is at the end of the day, it's about choice without managing the complexities of the hardware >>underneath because programmable completely right I come in, what I'm hearing is file object blocks of your multi protocol. I got a full stack so data data reduction, my snaps might replicate whatever whatever I need it in there as a service. I can I can access latency sensitive storage if I need to or I can push it out to cheaper stores. I could push it out to the cloud, presumably I could someday I air gap it uh and it's all done as infrastructure as code and then different protection levels where I see this going. It really gets exciting is you're now a data company and you're bringing ai machine intelligence and driving data products, data services for your customers who are going to monetize that at their end of the value >>chain. That's right. That's right. And safely insecurity. Keeping in mind that was their toes technology. We can give you, you know, small second recovery points to protect against ransomware. So all of that operational elegance, all those insights and intelligence to help you build a more agile, um you know, workloads centric organization, but then to do it safely and securely against ransomware, that's kind of the storm, if you will. That's brewing. And we're just really excited to be at the eye of it. >>I'm excited to. This is uh I've been waiting for this day for a long time and we're not talking about envy, Emmy and Atomic Rights and I love that stuff by the way and I'm sure it's all under the covers, but that's not what drives business value guys. Thanks so much for coming on the Cuban. David. >>Thanks for having us. It's been great. Thank you. >>All right. We're seeing a transformation all through the stack and keep it right there. This is Dave Volonte for the Cuban. Our coverage of HBs Green Lake announcements right back mm mhm

>>Yes. >>Welcome to this cube conversation. I'm Lisa Martin, and I'm joined by two Cube alumni. Please welcome Tarazi, senior vice president and CEO, networking at Dell Technologies. Welcome back. And welcome to the Virtual >>Cube. Thank you. I'm excited about this. Thank you. >>We're gonna have a good conversation, because VJ Ramachandran is also here. VP of product management at VM Ware VJ Welcome back. >>Thank you, Lisa. And happy to be here again. >>So have a lot to unpack. We're on the cusp of the emerald 2021. You guys are making an announcement We want to talk about in the Emmy. Why? It's important will break down the announcement. Go ahead and start. Uh, we'll start with you. Envy me. Why is it important? What is it? All that good stuff? >>Yeah, this is excellent topic, and this is really an important component of infrastructure these days. Um, modern applications are changing how they consume infrastructure. That's because the workloads are evolving. Some of them are ai type machine learning workloads that need very high performance. There's also a continued to end by our customers to put work clothes in public cloud and on um and create a hybrid multi cloud model. Um, and also the new exciting stuff is all have to do with the edge applications and distributing applications everywhere with automation and connectivity to where they need to be operating with, you know, on premise. Uh, so long Storey short, These trends, these new applications, how the deployment models work is really diving the need for envy me becoming the key technology for getting your data and storage and with envy me of a fabric and connectivity is starting to become a very important topic. >>How do you have those discussions with customers in terms of their next steps, especially in the last year and a half will stay with you that we've seen such acceleration of digital transformation. What have those customer conversations? How have they changed? >>Uh, they the conversations have changed in two big ways. One, they really want to discuss outcomes. They know that we can bring, you know, industry leading infrastructure and tools and automation and software. But they really want to discuss outcomes, you know? How do you How do I automate my you know, operations? How do I get to unpack the value of my data? no matter what the data is eyes and where it's coming. So so that's the first big changes. People have shifted completely to outcomes. And the second change is that now there is a really good discussion about performance and sustainability. How do I make sure that I'm meeting my sustainability goals? I'm meeting my performance goals instead of just discussing one piece of the solution. >>Got a BJ wanna bring you into the conversation? Now talk to me about BME Front and its evolution from VM Ware's perspective and some of the changes that you've seen in the last dynamic 18 months in the market. >>Yeah, thanks. Thanks for being, You know, I think that we are living in interesting times now. What we're seeing from the standpoint is that applications are evolving rapidly, demanding more performance, local agencies, higher throughput. And these are modern applications and NBA me. What we're seeing is that NBN me as a protocol is becoming the de facto sort of connected with protocol police applications at the same time. What we're also seeing is that the infrastructure team at scale and then deploy these applications at scale They are moving towards a disaggregated architecture in the data centre, and all the employees are going towards this because they want to emulate, you know, the public club. And so you know what's exciting about this announcement and sort of the, you know, the you know, what we are delivering together the bell is that the combination of Indian P plus T c p I P provides in sort of brings both these worlds together. It provides performance and legacies that these new applications these these new modern applications need at the same time provides a way that is disaggregated. And so the combination of these two is You know, it's, uh, industries changing, in my opinion, and and we'll see that this will become sort of the the fact that we can deploy infrastructure in our data centres. And that's what we're seeing in December. >>Got it? Thank you. Let's go ahead and unpack that announcement. That VJ alluded to telling them or have announced an end to end envy. Any TCP ecosystem solution back over to you. You have talked to me about this. What is it? What are some of the core components and we'll get into >>benefits. Perfect. So So we both see envy any of D c P I p as this new future storage connectivity. And it is a pivotal moment for the industry. There's always been debate about what protocols you use for connecting storage for performance speed. But the time has come for envy any of the TCP IP to become the defect of future protocol. Uh, what we're announcing is, first of all, we're announcing a new, uh, software product called S S s from Dell. And that software product will automate the discovery provisioning and automate the setup of all the storage networking How you connect all the hosts to the storage targets in a fully automated way. This is something that has been very complex, very hard to do manually in a one by one. So that's a whole new software product. Number two announcing the availability of envy me over TCP I pee on our key Dell products, which is power store power edge, which is our server product, and also power switch, which is our networking product. So the combination of the new software tool S. S s and all the availability of envy. Emile, that TCP ip on our compute storage and networking that gives customers the ecosystem to be able to use it along with the capabilities that are essential for it. >>Yeah, And DJ head was going to add to what you have just said. You know, of course, being there is fully committed to bringing this, uh, option of NBA me, You know, along with the partnership, Del, um you know, to the market and has been our partnership has been instrumental in bringing this to the market. Now, you know, the cool thing about this particular announcement and, you know, and what to bring to the market is that the smart fabric, uh, services manager is actually built into the centre. So, you know, from the understand point of this fear administrator being the administrator can so stay with them. They're the centre, um, you know, console and be able to manage provision, manage and monitor, Um, you know, in the in your fabric, uh, me or the PCP, uh, connexions. And so it's sort of bridges the gap between storage and, uh, world with you will >>and also the V sphere. The launch of, uh, envy any of the TCP I p and V. Sphere seven you see is the last component of this announcement between putting S S s inside the Centre V sphere enhancements and the Dell products. The end result is the customers get this bump and new capability. However, they can continue to use all the management tools that they have today. So this is an easy automated lift and they get this new capability >>an easy automated lift. Though that sounds like magic to I'm sure a lot of folks ears sticking with you talk to me about this is a new direction for Dell and talk to me a little bit about that and the impact. >>I think the new direction is that we have supported multiple protocols for connectivity fibre channel R d m A. But I think now, as we go to this next evolution and the fact that the world is going to multi cloud and edge and distribution, the new direction here is we're putting a lot of investment and energy, both of us into making envy me over TCP IP automated and high performance. As VJ said, we've been collaborating for over two years on this project jointly that included new standards, new innovation, new software capabilities, new divers on all our products. So although we make it sounds simple. This is a company wide on both sides. Innovation effort to make this possible. >>Absolutely a big innovation effort. DJ, Go >>ahead. And I was gonna say, you know, just to second what we have said, we work as one team you know, begin to companies. But we work as one team and really brought some innovative features and functionality out of the market and, you know, too excited to see this come to fruition. We're working on it for two years now. >>So two years before the pandemic started, I'm curious to get both of your perspectives on how the tunnels of the economy and the market of the last 18 months have influenced. We've seen so much acceleration in digital. How has this interesting time affected or accelerated what you're announcing? Or has it? >>I will start on V say, you know, whatever you'd like to add is that I think what we have seen during the pandemic is acceleration of adopting of a cloud operating model by using more of public cloud but also using automation that we have built into our products, both vm ware and L. And so this kind of automated type software tools falls completely in line with that. You know, customers more and more want the infrastructure automated and they wanted cloud light with as a service, usage based type models. And we're both invested into that area. >>Yeah, And you know, Lisa, if anything at all in the last, uh, two years since the Pandemic, what we're what we're refining is that it's no longer a decision between on Prem or Public Club, But it's actually and and decision, you know, it's on from and public clothes is truly becoming a multicultural world. And so to make this multi cloud, and then customers deploy the right applications and write workload in the right place, depending on the needs. And so, in this multiple world, having this automation and having a consistent way too, uh, to manage infrastructure, uh, in an automated fashion across these multi coloured deployments is becoming key. And so this is a key component of that. What we did, what pronouncing is a key component of that kind of a model, that customers are moving to >>it. Let's talk about the customer benefits you both mentioned performance sustainability, low latency, high throughput. Give me examples of each of those of how this technology will deliver that for customers across industries. >>This is where we've really enjoyed working together and with VJ and his team did fantastic work to test the value of having this partnership is the end to end. Customer sees the performance and benefit from the eyes of using both the software stack from Dell and VM Ware as well as the infrastructure below it. And we've been able to jointly test what the customer will see and what we have seen, which I have to say was a surprise to us. We expected benefits, but even it was one of those Aha moment. Oh my God, this is We thought it was good, but it turned out to be even better. So on the performance side, it's about 2.5 to 3 times the performance of ice crazy, which is the other technology we would compare this to on the Latin Seaside is 70% less latency and uses even less capacity in terms of CPU. We have not seen that kind of performance improvement from a protocol for a very long time. Changing networking protocols usually gives you some little benefit, but not this kind of a step functional performance. So I think the customers will be very excited about this. >>These are some numbers, PJ go ahead and extend onto that. >>No, I You know, I have nothing more to add because, you know, we having extremely encouraged by the performance numbers that you know, that we saw and, you know, and and and here, this red we actually exceeded expected our expectations, right? And if you, the enemy, was the was the right way to sort of, you know, delivered performance. But, uh, you know, to see this kind of results in real world as, uh is very encouraging. >>You guys said there are several sessions at BM world that are covering this topic. I'd like to get both of your perspectives on some of the sessions that you're presenting in and some of the key takeaways that the audience can learn. I have. We'll start with you. >>Yeah. I mean, we're starting with a session to explain the overall strategy, and we're gonna show demos. Exactly how would you use VM Ware software and L s F s s to configure Implement. How does that compare to the customer experience today? That's going to be an exciting session between myself and Paul Turner, who is the VP of product. Also at the end, where I think that that kind of with these visual demos, people will see how fast automated that is, which is really the message here. Then we have multiple sessions from our key technical experts. We're gonna go through a deep technology review of the stack and how to do it. And the functionality. >>Yeah, and Lisa on on the other side of obviously you have a number of sessions on various topics. Uh, on storage. The one that I want to call out is there's a session that I'm doing with Mark flashing who's a city or for storage and for club platform. Really. And we are discussing VMS vision and strategy for storage and availability, and NBA me is certainly a key part of that. But as we just talked earlier, the whole automation and the multiplayer aspect of, uh of the parameters it's critical. So you know. So we're sharing what? How we are approaching this whole multiple world. Um, in this, you know, with storeys and availability innovation. So I'm really excited about that. >>So a lot of news coming out on the nbn me over TCP ip front talked about the collaboration acceleration of that, the directional shift in terms of go to market and availability. When where can existing customers go to learn more information? What's the joint gtm that Del. And then we have, >>uh I think you wanna start on V sphere and I'll add or >>Okay, >>so all the products we talked about today from V sphere seven dot you the power store power edge All of them will be available starting immediately after VM World And between October and November, everything we talked about will be available And during the, um, world, we will announce how customers can use it downloaded by it. As we said before, because they are a s s s is implemented into the centre. This will be a familiar way for customers to use it downloaded and implemented, and a new lease of these fears something customers are used to. We have many customers on power store, so they will be getting a new software at least an update with the new functionality. We we do plan to care developer experience, modules, sandboxes for people to play with will make more announcements on that in the future. >>Yeah, And this, You know, as you have said, this functionality is built into, you know, the spear and recenter as well. And so the next really next release of the sphere will have this functionality. And you'll see a lot of noise about this at the world. That sort of our coming out party. Mm. >>Excellent. Well, it sounds like it's going to be a good coming out party with a lot of information to come around. The emerald timeframe, some great education and deep technical dive is that you guys and your teams will be providing to customers in all industries, which I'm sure they will be very much appreciative of. I appreciate both of you coming on sharing with me the news. What's exciting about this? The impact that's going to make and we look forward to hearing some of the news as it gets rolled out. >>Thank you. >>Thank you so much. >>Lisa. Thank >>you. Great to have you guys for Ihab Tarazi and VJ Ramachandran. I'm Lisa Martin. You're watching a cube >>conversation? Mm.

>>from around the globe. It's the Cube with digital coverage of Dell Technologies. World Digital Experience Brought to You by Dell Technologies. Welcome to the Cubes Coverage of Dell Technologies. World 2020. The Digital Experience. I'm Lisa Martin, and I'm pleased to welcome back one of our Cube alumni. John Shirley is with us. The vice president of unstructured storage product management. John. Welcome back to the Cube. >>Thank you for having me. It's great to be back. >>So so much has changed since we last saw you were very socially distant. But talk to me from from a storage and unstructured of data perspective, lot of changes in the year of 2020. >>Yeah, a lot of changes everywhere, but especially in our spaces. While we're seeing just a phenomenal amount of growth with storage. Still, that's continuing. But what we've really seen is things changing pretty pretty rapidly, actually, two new cloud based applications and it almost seems like everything that's happened during the pandemic has kind of been an accelerant to getting to that next level of technology. And so we're really excited to be working with our customers, really guide them in the journey to get into, you know, new cloud based applications, cloud native applications and really just helping them take advantage of all of this on structure data that's being generated. >>Yeah, we've heard about acceleration in so many facets this year and that it's, you know, we're accelerated by, you know, 24 to 36 months. Talk to me about, For example. I was talking Thio, Adele Technologies customer Earth down the other day. And, of course, the massive amount of video that they're generating 24 by seven by 3. 65 from all over the world. The edge, cloud core, So much growth there. How are you seeing customers be able to pivot quickly and adapt to how different things are? >>Yeah, you know, the interesting part two isn't just a collection of data anymore. It's how customers want to treat that data. And what we're seeing over and over again is that we get the video streams coming in. But there's also all of these sensors in the world and so marrying up the video streams with sensor information and keeping that in a repository so that you can do things like, uh, real Time analytics, but also be able to take that same data set and also get the historical view is becoming critically important. And that's the thing that's really changed, is how the data is being used yesterday that keeps coming in. But customers are really, really taking a different view in terms of how they want to go use that data. So we have a lot of tools that we've created over the last year or two that are helping our customers harness and really use that data, something that they just weren't able to do a couple years ago. >>Now we always talk about data as currency or data as gold or data equals trust and the most important factor for any businesses extracting value from that data. I think now, really time is even more important if you think of contact tracing, for example, or the accelerated work going on to develop a vaccine, so much access has to be now because data from yesterday isn't good enough. It's not gonna help solve some of these big use cases. What is she gonna key use cases that you're seeing accelerate in the last few months? >>You just hit it right on the head. So the way we look at it, it kind of two points within the timeline of data. That's the most valuable. And, of course, what you just said. Get the right away in the here. Now that's that's one of the times that is the most valuable toe have that data. But then if we kind of take a look at that data as it ages because it get less important, well, some of it might. But actually the data has a big scale data like data repository and be able to extract value out of that kind of holistically as a big set of data is extremely important as well. And so we we have tools, everything from our streaming data platform that talks about how we can extract value from that data, right as it's coming off the sensor of the videos video streams, we've got our power scale product, which provides very, very high performance storage so that customers 10 stream a bunch of data and get some of that AI and ml off of that data. And then we've got our PCs object storage based product what customers want exabytes of data, and they just want a really long term, robust storage repositories. So we've kind of got all the tools together that really helping our customers extract that value. >>Talk to me about doing a migration. That's always a big challenge, especially as many businesses live in a hybrid or multi cloud world where they've got or using public cloud services on from edge maybe, for example, but in terms of being able to get to the data and run algorithms on it to do a I. How can a customer give me, like a snapshot of a of an example infrastructure that, you see is common with customers that allows them to harness data wherever it is and be able to run a I on wherever it is without having to move it around and pale those charges and, of course, lose precious time? >>Yeah, that's a great question. What we're seeing a lot, too, is customers wanting to take advantage of things like the cloud, the power that compete in the cloud, and, uh, they don't necessarily want to move the data in and out of the cloud. But at the same time, you know, we want to make sure that the customers have the flexibility to choose which cloud that they want to go to. So we have multiple cloud offerings that were given to our customers, specifically the ability to take the data. We host the service for the customer so that it's all in all operated within the Dell EMC, uh, infrastructure team. And then we can map that data data up to the clouds. Whether they want to go to any of the Big three cloud providers, we could map that out. There's no egress fees, and they could go ahead and take advantage of the data very quickly, easily. >>So really, from a flexibility perspective, being able to meet them where they are, >>that's absolutely right. So whether the customers are in the edge or in their in their core or in the cloud will be there to help their needs. >>So this is the first Dell Technologies world that is digital, a lot of opportunity for folks. Thio learn and still be able to have as much engagement as possible. Talk to us about some of the things that you're excited about. The customers are gonna learn in terms of how you're helping them get more value out of the data faster in a time of such massive change. >>Yeah, so we're doing so much within the within the team. So earlier this year we introduced a new product called Power Scale which is taking our industry leading one FS software for scale out file. And we have put that in and really taken advantage of what we have within the Dell family and taking the best server hard work power edge. We've taken on one of one FS software married and together we're really extracting the best value of the data with those platforms. So again, the industry leading scale of file solution marrying that up with the industry leading server solution. And now we've got even though even more robust solution. On top of that, we have, uh, announced our objects scale solution. And so objects Scale is a knob decked store solution that's specifically targeted for customers running kubernetes. We've partnered up with our friends over at VM Ware and we've developed an object store specifically for developers on top of kubernetes environment, so that when customers want to go and start generating new applications with object store on new cloud native app they can really quickly spin up new object, store new buckets and start writing data. It's very simple and easy to use, and then when they want to grow at scale, we've got our PCs object store, too, into that petabytes scale. So it's it's very exciting. >>Can you give us an example of a customer that's that's already doing that That, you see, is really achieving some significant benefits? >>Yeah, yeah, So, uh, probably the one that's the most fun toe watches were working with a company that's doing amusement park rides and really taking a look at all the sensor information so that they can get predictive analytics in terms of the maintenance of the rides, making sure that if there is maintenance that needs to get done, they could get that fixed as quickly as possible so that customers going through those rights a. If, of course, they're going to be safety. Safety is always number one. But being able to make shape, make sure those rides are maintained so that the lines move quickly and they can keep customers going through. And you get us many people enjoying those rises. You can, and that's all coming from our streaming data platform, which is again taking that information. All of that sensors feet, and they need that that real time value that we talked about before to get that real time value. But they also get the historical view so they could see how the maintenance is kind of evolved over time. So that's that's one that's been, ah, lot of fun to work with here over the last couple. >>And hopefully we get to go back to amusement parks and calendar year 2021. Wouldn't that be nice? You mentioned safety and and that Yeah, that kind of makes me think about security. We've seen so much about increases like companies like Zoom, for example, with increased scrutiny on their data security, a more compliance requirements, Um, data protection being even mawr. Important as there was this massive pivot toe work from home seven months ago, and a lot of folks are still there are not going to be there. Tell me a little bit about some of the things that you're doing it to facilitate that this data, this massive increase in unstructured data, is managed securely so that if there's any sort of breach or incident, your customers air in good shape. >>We We have a lot of focus on security within the organization, and that's really across the board. That's really across all of Dell Technologies products. Eso We do a lot of things around encrypted drives to make sure that if the driver ever pulled out of the system, there's no way to go access that data. There's just no way to go do that without the original keys. You can't get those original kids when they're not in the system, so we make sure that we do a lot of hard enough the system at that level. We work very closely with the broader partner and ecosystem community to make sure that we provide things like ransom or protection, uh, isolated. So in case if something does happen a you identified as quickly as you can but be you make sure that you have a good data set, like a good golden copy of that data that you can always go back. Thio, >>you mentioned ransom where it's it's really been on the rise in 2020. I read a stat a couple days ago that every 11 seconds are Ransomware attack occurs when we think about how many new industries are exposed. I saw I read recently that the the New Zealand Stock Exchange was hit a couple of times. Carnival Cruise Line, the Department of veterans of There's a social media with Facebook Tick Toke Instagram on 235 million user profile straight from a unsecured cloud database. So not only is that threat landscape expanding, but we've got more people accessing. Um, you know, corporate networks with maybe personal devices for those phishing emails are probably even getting more sophisticated. >>Yeah, we spend. Like I said, we spend a lot of time. We have a whole security team within the storage group that does nothing but thanks about security and how we can harden the products to make sure they stay secure and robust. And we keep the bad, the bad people away. >>Now that's excellent. Alright, So any predictions what we might see in the next 6 to 9 months, who from Dell Technologies with respect to helping customers who are hopefully have pivoted from this survival mode to now being able to thrive, leverage data extract values from it to identify new revenue streams renew products are new innovation. What do you see on the horizon? >>Yeah, I see just the continued acceleration of the technology. I see Dell Technologies spending a lot of our time focused on solutions so that when we can go into a customer environment, we talk about solutions. We talk about how we can get time to value. So how quickly can we get up the customer up and running with a known good configuration? You know, supportable. It's enterprise grade on. We can have our customers spend time writing code and developing new applications and not worrying about how to go build that infrastructure. So you're gonna see a lot of things. A lot of partnerships across our entire infrastructure team, which internally we call I S G. And we're really working together is one SG team to make sure all of our networking, our storage and our compute and all of the software that goes around that we act as 111 overall family for our customers provide that solution. And we also partner very close with VM ware to provide that software layer. So that again when we go to our customers, uh, and they want to start a new project. We have all of the tools within our portfolio. Uh, we've been around for a very long time. We have very strong focus on both the horizontal, the various workloads that customers were running and also very specific vertical through the industry and teams that just are dedicated on that. So But I think you're going to see a lot more. Is the solution based approaches where we could go into customers? We can provide that solution, and it's up and running in the very, very short amount. All right, >>last question. You said you mentioned you guys have been doing this a long time. I know you've been with Dell for 10 years. What are the three things that you would say if you're in a customer situation and they're looking at Dell and maybe they're looking at HP, for example, or some other competitors? One of the three things that you think really differentiate what Dell Technologies can deliver with respect to extracting value from massive amounts of unstructured data. >>Absolutely. I mean, this is where I get really excited when I'm so proud to be at del, uh, because if I look at all of the advantages that we have that we could bring to our customers. We have just the knowledge. So I think first and foremost when it comes to on structure data, we have been the most prevalent player in the market. And again, if you take a look at different verticals, think about like media and entertainment. We've won an Emmy just because we've been around and we have the technology that's really met the needs. We, um but that's one. We have all of the deep knowledge, and that's really going to give a lot of benefit to our customers to we've got the breath of the portfolio. So not only do we have very specific knowledge in one area where actually cover all of the unstructured portfolio for our customers needs, whether that's file or object or streaming data might even be the data management data management. When we have data I Q. To help our customers understand that data. Our portfolio is really broad, so deep knowledge we have a broad portfolio and then we have the overall Dell Technologies family that that we go forward with. So again, it's not just about the unstructured data. It's everything that goes around that it's the servers. It's that computes all the infrastructure. But it's the software that's also our partners and that whole ecosystem that we built up across the technologies. That's what really makes us strong and really the best person to partner with >>excellent knowledge, bread and a large ecosystem. John, thank you so much for joining us on the Cube today, talking to us about all the exciting things that you're working on. What's to come? We appreciate your time. >>Thank you very much >>for John Shirley. I'm Lisa Martin. You're watching the Cubes Coverage of Dell Technologies World 2020.

>>from around the globe. It's the Cube covering HP Discover Virtual experience Brought to you by HP >>Welcome back. I'm stew Minuteman. And this is the Cube's coverage of HP. Discover the virtual experience. Gonna be digging into some primary storage. Happy to welcome to the program. First time guest. Former Assad. He's the vice president and general manager for both primary storage and data services with Hewlett Packard Enterprise. Omar, thanks so much for joining us. >>Thanks to happy to be here. Thanks for the invite. All >>right, so So why did you start out? Frame out for us? Kind of Ah, where primary storage fits in in the portfolio in your charter >>there. Thanks. Yeah. So primary storage is a combination off hp, primera, HP, nimble and all the associative software and data management services that go along with it. We are part of the broader HP storage umbrella. In addition to that, we have the HB h C I business and the HP complete partnerships that partner with our go to market partners and bring total intentions for our customers. From my perspective on the general manager for Primary nimble and all the data management services that come along with it. So that's what people. The primary storage portfolio mainly centered around block services for our for our customers. >>Excellent. Well, Omer, you know, you've been in the storage industry for quite a while. We always know that the only constant in our industry is that things are always changing. However, here in 2020 it's a little bit more unusual than normal. Give us a little bit of insight as to you know, how your customers responding, how HPE is helping them during the current global pandemic. >>Obviously, you know, across the industry across the world, it's a very difficult time, you know, definitely where customers are facing some challenges from our perspective. You know, one of the biggest things that we noticed was in these unprecedented safety is the paramount eso concern for each one of your customers and for HP ways in our fellow sort of workers around the globe, the access to the data center has costs, um, some challenges for our customers, obviously for capacity expansion purposes, for scaling up work from home needs. You can do all of them. But for all of our customers, you know, as the pandemic kid in the shelter in place. Global policies came across the access to it. Did the data center became a big problems? Well, right, so just, you know, a lot of vendors that make changes to it. After these solutions off an HP perspective, we added a couple of policies, like 90 days payment difference. In addition to that, a bunch of financing capabilities to allow our customers to focus on that cash flow help on not to worry about some of the purchase decisions, but it comes from a storage perspective now. In addition to that, HP was also fortunate enough to have to cloud storage services. We have data protection online services. They have block storage online services. These are just sort of cloud based services that are available in conjunction with our portfolio to our customers. So one of the unique ways that we were able to help our customers is for without accessing their data center, they were able to slip a lot of their own from storage and former Peter snapshots or data migrations into our cloud storage subscriptions, which we expect extended to our customers and they were able to expand, and we're just in time capacity to scale up there in data center needs without actually accessing the business. So some down perspective. It was very profound experience that we had in order to sort of keep our customers operations running while we were shipping at psychopathy an expansion capacity for them as they scale sort of work from home operation. Like VD. I database scale up as as they adapted to these sort of uncertain times. >>Well, excellent. Absolutely. A spotlight has been shown on you can the products and services with liver for what we needed. That flexibility that you mentioned so critically important. Great to see things like the financial pieces to to make sure you can help companies in these uncertain times here at Discover. So, of course, let's tee up and not keep things waiting any longer. Uh, what's new? Ah, for your piece. Polio. >>So there are a couple of the new announcements that we're bringing to the market over here, right? And one of the biggest ones that I'm most excited by is obviously autonomous operations and ai ops that we're now extending, uh, for our customers for actually taking action. So what that means is, we were sort of the first to market with AI ops, which is our info side technology that was built off the top three nimble storage acquisition that happened within HP. Then we sort of extended that to, uh, to be primarily, we extended that to HP three par on then Also, we're now extending that to be simplicity so that the enormity of the size off this AI operation on automation that it just continues to grow right from. From from a primary perspective, especially, we're now bringing intelligent and intelligence autonomous operations on two primary as well, which basically means all the models and all the AI engines that we have trained for analytics for helping our customers. Our 13 workloads for providing proactive support and pro active recommendations to impose a couple of those models are now ported into our tiers of the portfolio. That is HP primarily so not only can we make recommendations in primary, but now we have also made the Kent. If the customer allows us to go ahead and actually implement those decisions, eso, Primerica and automatically adjusts without having the user intervene because in tier zero applications, the time to intervene is very, very no food non existent. So given certain set of parameters and given a certain set of policies. Http Primary. I can now execute the recommendations autonomously and make real time changes, the workloads and profiled in US policies to keep our customers Boeing rather than just a recommendation. Again, this is the first of its class for AI, and autonomous applications with intelligence is not only in recommendations but now also going ahead and executing. That's decisions from a primary storage perspective. >>O Mara with the things that you were just talking about, this bring us inside. You know what's changing inside the customers that you're working with, you know, traditionally, storage. You know, you had a storage administrator, people thinking about you know, the speeds and feeds and all the knobs that they can turn with storage. When you start talking about autonomous and AI functions coming in, I have to expect there's different requirements from the customer and there's different people engage with it s o, you know, bring us inside what you're seeing at the customer side. >>It's actually interesting you here you could explode on, right, So from a customer perspective, it's always you know the the do more with less right that is happening on the training side that is happening on the customer persona side. So, you know, simplifying the portfolio. Is it absolutely one of the biggest, therefore, customers? They're the general push the words the I t generalist back there. Management perspective. From a perspective, there's a lot of simple City that is desired. So one of the biggest things that we have changed with 18 primarily is that if the industry's first tier zero platform, it gives 100% availability guarantee s so it really simplifies from a responsibility perspective from a customer's perspective, where we picked up most of the risk by giving the customers 100% availability guarantee. It's the industry's first year zero platform that is self upgradable, self installing and now also self autonomously executing operations on the customer's behalf. So again, from a monitoring perspective, from from an installation perspective from a day to day operational cost perspective, it's really, really ties into that. Do more with less team from a customer's perspective, right? And then the maximum from an AI ops perspective. You know, Prospect Analytics. We were the 1st 1 to bring that to the market. Now we've extended up to it across the portfolio on and then some recommendations. Perspective. Not only there are these proactive recommendations, but then also, if the customer allows us, we will go ahead and execute those recommendations in order to 24 by seven mission critical operations continuously running and continuously adapting to changing conditions from a customer perspective and then on the customer side. Again, there's a lot more simple a city that has been enforced into the environment because again yourself installed so complete, self automate, self autonomous, sort of storage operations happy introduced in tier zero environment. And I think that's the biggest breakthrough in bringing that simplicity in the Tier zero. >>Excellent. You also you mentioned that one of the things that companies air leveraging now when they need to be working remote is the remote backup capability. Bring us the latest as to what he's doing when it comes to a cloud backup. >>So against what you raised, an important point right? One of the biggest things that this pandemic has so far made the ICTY operational staff realized that although there could be an outage, but there could be an outage of the kind where the systems might be running. But you won't have access to the data center, right? This shelter in place has been huge learning lesson for for operation teams. Right, So one of the things that we have now introduced, you know HP was with nimble storage earlier was one of the first technologies to have a cloud storage block. Services available to our customers now have expanded that portfolio, and now we have cloud volumes also available. So when you buy HD primera as your peers zero offering or if you buy a 80 nimble storage as your mid range Tier one offering with both, we now include http cloud volumes of backup services. So not only do you have access to on Prem storage, but you have access to backup capabilities, which are not managed by HP for our customers as well. And then, in addition to that, the mobility technology that sources Depot that transfers these backups into an HP and managed back up service is also included with the piece of software and then, in addition to that, we have also made Hve cloud backup available to our highest partner. So whether you were seen whether you're calm vault, we have source site plug ins available so our customers water on our partner ecosystem and also take advantage of that. One of the biggest changes that you know, as you know, Reid rate at this point, it is included with our portfolio is included from a software perspective. No particular physical changes need to be made at the data center, and customers can take advantage of that. You know, as soon as they start consuming the the primera or nimble boxes along along with the rest of the portfolio. >>Yeah, you know, back up to the cloud was one of the earliest cloud storage solutions that we saw there. It's good to hear you say that you you've got kind of integrations with partners and with your portfolio, anything else that you point out that really differentiates what HP is doing compared to other cloud providers or other software solutions out >>there. So to do things right, So from from a data protection perspective, this entire software portfolio is sort of bundled in when, when you when you look at HP primera or when you look at HP nimble like one of the biggest different shading factors is that the entire encapsulation off a solution from a workload perspective is Write your application autonomous support. So whether you're running sequel Oracle DB next gen applications. The awareness of these workloads is present inside of info site, and it is also present inside of the boxes. And then he regards to that their lifecycle management. Uh, there, you know, data visibility's recovery capabilities there Diyar capabilities that entire equal system and and what what it takes to make a little work. It's also built into HD primarily and being nimble environments and proactive support off visibility and lifecycle. Operational support of these workloads that the wave missed from an intelligence perspective is built in with people set right. So one of the largest single or the most critical difference is that it's not a piecemeal solutions. The entire ecosystem portfolio from a protection lifecycle management. We are just a death is completely talk to and incorporated. When you buy any particular aspect of the V block storage. >>Excellent. Well, when we talk about primary storage, one of the big impacts on that market has been that the wave of hyper converged infrastructure. You know, I've had conversations. Everything from your Green Lake offering is how to have a managed service with many options with h c. I underneath that, of course, HP purchase simplicity. Help us understand. You know where you think HD I fits today and how that relates toe overall, your section of the market >>Absolutely right. So AI has had a profound impact in simplifying the consumption of the data center. Right? 80 I, according to me, is an experience. It's an infrastructure consumption experience. Ah, storage, networking. Compute or abstracted out, and you start to consume that as Watson Machine Instances to simplify your operations. Right? So from an HP perspective, 80 simplicity is one for our largest offerings in the portfolio for, you know, for smaller data centers. For for the Generalists, for the Edge Cases HP Simplicity Simplicity is one of the preferred choices that the customers built right now. In addition to that, we've also introduced DHC I, which is this ability aggregated 80. Either this aggregated 80 a sort of on the name it is, it is sort of a conversation starter that that's why we love it. But again, in keeping to do the nature off. You know, it's the eyes of consumption. Once you Once you put the infrastructure in the closet and you shut the closet door, you should not be able to sort of tell whether it's a single box that's running the entire portfolio. Are this aggregated storage, networking and compute instances that are running the portfolio? From our perspective, you know the flexibility that the customer has from a consumption model. So storage, networking and compute in a single model in a single chassis, if that is simply for for the customer. But then if the compute and the networking and the storage needs need to still independently but yet maintain the same simplicity off the consumption infrastructure, we offer that use case as well. And that's where DHC I based on HP Nimble storage with HP Prime servers and Aruba EMC switches all consumed as a single software comes into play, so all the flexibility are in worse. But the simplicity of hyper converged is consolidated, and then, from a from a financial perspective, the customers can buy on cap backs, and all PACs basically relate or not be like it's up to the customer But again, then the focuses focuses one on the hardware. Stupid focuses on what the software consumption layers are. And then from a flexibility perspective, yet being able to scale storage and networking independently should the customer want that flexibility? >>Yeah. You know, without getting into too much of the naming conventions we actually, we keep on the research arm. We had put out what we call server san, and it was looking at the architectures that the hyper scale environments were doing, which was even different. Really? You bake, you know, the scalability that you need into the apple Asian, Um, and therefore, some of the underlying software which in scale you do different agency. I dhc I You know any other prefix in there? We like to have an umbrella rather than, you know, just a bucket that you put things in with rigid environment. Okay, so, uh, I guess the final takeaways, you know, any other key things that you want point out from HP Discover, You know, any sessions, papers like that people make that they take away from this week's event. >>They obviously autonomous operations with info site models being actually executed on on Prem storage is one of the biggest takeaways. In addition to that, we brought, you know, mission critical VR to all three par both primary and nimble storage platforms. A swell so three market VR where cloud storage is also integrated as part of that VR story. So you can have synchronous replication between two sites and then a bunker site, whether that be 1/3 autonomous data center or it can >>be it be >>cloud story off as part of that that here, in addition to that, we introduced all the Emmy primera on and be introduced storage class memory on the nimble storage architectures as well. So obviously further pushing the envelope, Sof hp primarily of porn or massively, Pablo, all in the in the system and then nimble storage, which is our cash, accelerated our connector. Now, as another tier of storage class memory. So we give you the performance of storage class memory. At the price of all flash arrays are some of the biggest capabilities that we're putting forward. And then lastly, you know, in regards to started automation, you know, we've all support on it be primary, uh, you know, be able. Was legacy already supported on It's the Nimble. It's combining Primera Nimble 34 over there gives it one of the largest adoption and promoters of vehicles out there with the largest people in small. Based on the last but not believe we're now introducing, you know, Google and costs. And we will see a size based dinner. Uh, started automation drivers for both HP nimble as well as for you know, uh, HP primary. So kubernetes CS i compliant container set of implementation drivers have now implemented in both the platforms that are available for general use for our customers that prefer to run bare metal or container based workloads or for their production. >>Alright, well, Omar, no shortage of updates that you give our audience to be able to dig in and find out the latest on your portfolio. Thanks so much for joining us. >>Absolutely pleasure to be here. Thanks so much. >>Alright, stay with us for lots more coverage. HP, discover virtual experience on stew minimum. Thank you for watching the Cube. Yeah, Yeah, yeah, yeah, yeah

[Music] from the cube studios in Palo Alto in Boston it's the cube covering the IBM think brought to you by IBM hi everybody welcome back to the cubes coverage wall-to-wall coverage of the IBM think 20/20 digital event experience my name is Dave Volante we'll be going really all week and and focusing on the impact of the pandemic how IBM is responding how customers are likely to respond I'm really excited Luke Niazi is here's the global managing director of consumer industries at IBM Luke good to see you nice do you see even that nice to be on the cool I mean if I think about consumer all the assumptions that we made about consumer behavior they're really up in the air right now I wonder if you could share with us what your current thinking is I mean the consumer has powered this global economy years what are you thinking about the consumer right now in the consumer behavior well was he some a massive shift in terms of the immediacy let me this back a little bit Dave and give you a bit of context we did some research at the beginning of the year that we launched the National Retail Federation and we surveyed over 19,000 people globally and that survey showed that they were do be on a shifts that are appearing first of all there was a shift in of the purpose given consumer of the 19,000 people that we surveyed 40% of them said that they were making decisions that were purpose different compared to 41% that make visions that were convenience and that's people who care about sustainability and where products are coming and the other big thing that we saw was popping in micro moments increase digital shopping and of anytime anywhere now of course with the and Emmy we are seeing an acceleration and fastening of those first of all beyond the immediate move panic buying that occurred we've seen a big big shift in online buying and we think like Ron and driver also a reinforcement of this move to more sustainable product and services yeah I mean so right now you have I guess buying for what's available you need something it might not be available as a consumer you're making a lot of trade-offs okay well I'll go for you know alcohol-based hand sanitizer you know as opposed to just conventional hand sanitizer as an example oh well I'll make some trade-offs in tissue paper etcetera etcetera and maybe there's some boredom buying I don't have you've seen that your people are shut-in but though all kinds of of daily changes weekly changes so how do you see this exiting how do you see compute consumer behavior you know changing as we exit this pandemic in waves and we're only sure how we're going to exit well let me kind of break it down in terms of what's been going on right now so of course we saw this massive waves of you know a shift to sanitary products a shift or groceries then we've seen a shift about how can I keep my kids entertained while they're at home and kind of more discretionary choices being much lower so when you kind of look at that in terms of actual impact on business we've seen grocery say in the u.s. up by about twenty seven and we've seen a move on digital in the u.s. about three percent of the of the US population shifts about buys online that's do 43 percent during this period and of course we think that these are things that are going to sustain what it's done is it's accelerate the type of purchases that people are doing in a digital context and we think that that is you know continued by some thoughts the data on the pandemic looks like it's been to continue for many months and and in ways those that we've seen the shifted digital and initially people are kind of looking for things anywhere but it's going to be combined with a kind of a new type of delivery model there's much more buy online pick up in center distribution center pick up our part whether that's you know your groceries or whether that's health related so it's going to change the delivery models it also means of course that stores are going to change a great great deal at the moment grocery stores all have social distancing with the protection of the store associates been you know a key element of that you're gonna see not the same amount of people in those stores going forward and you know a different configuration and application of technology also in store to keep monitoring both the safety of the employees and the safety of the customers but also make sure that occupancy levels are appropriate etc so big shifts the digital the big shifts to different types of delivery models you know big shifts of safety related technology of course what we're also seeing and this is the difficult piece which is if you have discretionary spend fashion apparel luxury the open those volumes are very very significant I mean look I've actually been quite impressed with some providers that have pivoted very quickly to things like curbside pickup and have really responded you know quite fast to that at the same time I've seen others where I mean it's clear that they really didn't have the infrastructure or the processes of their asking hey how how did we do do you mind taking a quick survey because they need to iterate how can I be M help those that really weren't that prepared and it sort of band-aided together some solutions get to the point post pandemic before this thing ends where they really need to be what are you guys doing with client yeah so well first and foremost as the pandemic we focused very much on resilience making sure that our clients but operators as robustly as possible in fact you know 95 percent to our services are being delivered it just began and remotely right what then happened was how do I deal with these massive volumes of airing in my two centers where by the way I have less staff because the people are I having to even themselves safe and social distance and so we deployed immediately beyond our resiliency solutions all centers that are helping our clients booth by aura ties and scream one of our major retail clients in the u.s. said you know I thought that the Watson Chapman knowledge ease were going to be helpful they weren't just helpful they saved us and so that kind of things occurring in the immediate that's the next piece of course you then start see is that finds have realized that both their digital panels and their fulfillment models have not been able to keep up nobody is being able to keep up with the demand that's not even Amazon's been able to keep up and what was you know a 24 or 48 hour delivery slot those those kind of slots have gone out the window so we are going to see a wave of reinvest in enhancing digital channels and we will leverage no both our our services business as well as our cloud knowledge ease to support that and then underpinning that you you're also seeing a need to rebalance the supply chain because of course where products come from have changed where is vsauce is now having to move much more from a global supply chain to a global local supply chain and we're having to balance supply with more local providers and so is a there's a demand supply balancing to be done that means that eyes are and i think about the practicalities of that but they were investing in next-generation technologies to support that for IBM that things like our IBM sterling portfolio but it's also the activation of our supply chain AI this massive demand set by and of imbalancing and we've been helping certain clients look at that and move stock most appropriate locations we've been doing that to help clients kind of rethink that there's this budgeting so we're gonna see a lot of that we have all of the intelligence of by chain and we're going to see no investment in the intelligence of buy chain just like we see this investment at baring in the change in the commerce engines last thing to say is wrap in trace is going to be hugely important reckon trace of all products and where they come from where they were handled and people and so technologies like lock pane and what we do with food trusts are also going to be a really important element yeah another really piece of digital I mean the cube we go to physical events and we've been saying that hang that this is not going to go back to 2019 the people are going to learn through this experience that there's really some additional value that they they can create through digital you think you think about consumer that's a much much more complex environment tens of thousands and fully hundreds of thousands or even millions of fights the product dimension chat thoughts you know the entire experience that we talked about a curbside pickup lead times people you know managing demand with lead times you can only or limiting the volume you mentioned supply chain track and trace block pain so a whole new set of digital assumptions are going to emerge or are emerging I don't want to make it sound like there's a there's some kind of binary beginning an end to this thing this is this is going to be a slow but yet fast iteration of constant iteration and continuous improvement yeah it is what am i - the newer faculty were talking earlier this week and they said look as difficult the environment is right now and of course we've been focused on our current operations and fulfilling our customers as best we can it's actually bringing us through a whole new window about who we think the priority is of our investment and how we look at that going forward and you know he's almost saying well I'm gonna have to zero based budgeting approach and against that we're gonna see a much better investment in almost regardless of what your model is whether you are digital first or physical first you're gonna see much better focus on kind of dealing with the pasady and the variability that we've experienced because organizations weren't geared up for that and you're going to see them the investment in the intelligence and the supply chain who support that backed up with trust and traceability and now back to the points that I start at the beginning of this session it means that the trends that we saw and we assess actually are going to be almost perpetuated because we think this move to sustainable and more local sourcing more balanced sourcing will continue to be a big factor and we think that this kind of idea of shopping in the micro moment but shopping in a much more digital way is here to stay the consequence of that is it's gonna have a what a big impact on the physical environments and unfortunately there aren't gonna do there are going to be as easy in this with certain sectors that are not going to be able to sustain the the big shift in the model so obviously physical down for the immediate and probably mid and maybe even long term digital up you one of your areas of expertise is agribusiness we thought you note you know tumour in general I wonder if you could share with us what you're what you're seeing there I'm inferring more more local sourcing which obviously has some impacts on what's available at different times a year potentially on on pricing thoughts on agribusiness and how they're responding yeah well it's it's fascinating you know if you take it into first of all of course you know agriculture has been impacted right now by not so much for the professional farming which has a large-scale mechanization before a lot of farming in large parts of Asia or Latin parts of Latin America or parts of Africa and even parts of Europe there's a lot of transitionary labor that occurs in order to be able to harvest crops and so that's a that's a really difficult immediate problem we've seen you people volunteering in certain countries like here in the UK where I live either people volunteering you can't work in their current job see how can I help that's kind of it an immediate thing that's needed right now but the broader topic in the work that my teams do is that actually the application of digital technologies and science who is behind what it is in other industries and there's such a great opportunity by leveraging digital only be more effective in actually hitting the most out of farming land without over farming the land and so we're working quite a lot on digital economics of buying base ability you truly from farmed or and no but have been together data sources that were not in the same base to be able to help build effectively an AgrAbility for the benefit the farmers and cross those things were going to see farmers empowered with more information in it more insight so simple things like The Weather Channel application that we have from our weather comm we're deploying that to millions of farmers in Africa and Asia and on top of that we're being able to and for the deployment of other related information though how to farm but also we could start to look at how to provide safety related information etcetera to those farmers so so we are going to see through effective use of technology increase appropriate digitization of no farming processes and there'll be in a very practical level what I'd put onto my phone so so definitely this is a big thing and and of course as you know the traceability that we do with our food resan isn't just about safety and talk about how food was produced how far it's traveled what conditions was it handled in what's a co2 footprint and so that traceability engine can actually accelerate also this is and as I referred to earlier Luca mean as we're discussing you know the moment-by-moment the assumptions are changing you know the narrative this weekend of course at least in the US was pay we've got it now get out there and and many are saying this not all but but just effect mass unity that it's really going to be the only way vaccines aren't coming anytime soon young people will go out retail environment of course you're gonna have social distancing people that are compromised or older aren't going to go out the clearly volumes are going to be down but it's a very fluid situation so business resiliency and flexibility is critical here and it sounds like you're helping organizations really build that into their operating model that is critical yeah absolutely and you know for some of the grantees that I haven't boomer you what you're seeing in things like a chorale fashion luxury is a a move to try to drive that engagement to you the customer in a much more digital sense so how do I interact with the brand how do I experience the band how can I all the way through to my purchase digitally when I don't have the ability to get stores so this digital transformation agenda will affect pretty much all major segments obviously the foods by chain the health by chain is the focus right now but we will see on the increasing digitization and a need to rebalance the in-store experience even for the segments so there will be a lot of transformation to be done a while of course having to deal with the cost balancing that need in these industries as they effectively shift more towards digital yeah you're right I mean the cost structure may dramatically change yet at the same time it may be critical for or maintaining or even gaining market share so a lot of potential disruption Luke I'll give you the final word your thoughts bring us home well you know first of all you know people's well-being in safety is our paramount purpose and that's what we've been looking at the outset but I think people would be positive that there is a lot of opportunity in which we can deliver the things that they need in a safe way in a secure way in a digital way that is able to cope with the environments that we see today and may prevail and it's about winning that intelligence and innovation into both the promise and the digital channels and into the supply chains all the way through to the track and trace which is what we focus on well look thanks so much for coming on the cube was great to have you with your your insights on the IBM very clearly has its hands and a lot of these different industries and it's great to have your industry expertise sharing with our audience I really appreciate your time take care thank you all right thank you for watching everybody this is Dave Volante for our continuous coverage of IBM think digital event experience 2020 you're watching the cube right back right after this short break you [Music] you

from the silicon angle media office in Boston Massachusetts it's the cube now here's your host David on tape the imperative to protect data has never been more pressing as companies transform themselves from businesses into digital businesses the intrinsic value of their data Rises exponentially the problem for infrastructure pros is that everything in IT is additive it seems like nothing ever dies which means more things to manage now think about that when you're protecting data you have bare metal VMs now containers you've got cloud you got to worry about the edge all this data needs to be protected not only does this increase complexity it expands the attack surface for adversaries wanting to steal or ransom your data at the heart of all this is a build out of a massively global distributed cloud we saw wave 1 of the cloud which was public wave 2 was really hybrid and that's evolving now in parallel you're seeing the emergence of multi cloud and as I said these earlier trends are additive they're not replacements and with me to discuss these important issues and how Dell EMC specifically is pivoting toward cloud data protection is Beth Phelan who is the president of Dell emcs Data Protection Division that's great to see you well good to be here again so we know the world is hybrid it's a fundamental the on-prem stuff is part of the fundamental digital digital transformations of these these companies and now you've got data protection for the cloud so what do you see happening in that world yeah let's start with what we're seeing in the market we recently remade on our global data protection index we've been doing it for many years and we've been really using that to help us understand the landscape and what our customers need and first not surprisingly it shows that continued trend of movement and reliance towards cloud environments for business applications continuing to increase on top of that the customers despite that are continuing to struggle with ensuring they have the right data protection for their cloud environments right so they're they're struggling you see that we see that as well what what's going on there well what is the data tell you yeah first of all more than half of the customers don't have a comprehensive data protection solution for their Salas cloud native and multi cloud environments more than two-thirds of the customers who may be relying on their cloud service providers for data protection say that they do not have a solution that covers all of their workloads so whether they're working with a cloud service provider or some other vendor they're being really clear that they do not have a comprehensive approach to cloud data protection yeah so I mean you see the cloud adoption is going like crazy but it seems like the data protection component is lagging how is that affecting the traction in your business yeah you know it's a double-edged sword right on one level customers see the advantages of moving to a cloud on the other hand you know they are really looking for vendors that they can partner with to still have the same confidence that the data is protected that they have on Prem and what we're seeing now is that customers are turning to us to help solve that problem we have over a thousand customers using Dell EMC for their Cloud Data Protection and we're narrowing in on three exabyte the data that we're currently protecting in the cloud so it's happening yeah that's pretty good traction so I want to talk about VMware obviously VMware is the linchpin of many customers hybrid strategy and it's a clearly an important component of Dell technologies talk a little bit about the relationship between Dell EMC data protection specifically and VMware I'm interested in you know they've announced project tenzou and there's kubernetes how are you guys working together to really deliver a value for customers so we are super excited about the opportunity to work so closely with VMware because as they're cut in their domain we're working directly with them and that's an advantage that comes with being part of the dell technologies family and so we were the first company to bring data protection for were kubernetes environments out to market it's available now so you'll see us bring that into the tenzou mission-critical has been moved forward partnering closely with with vmware and of course we're already fully certified for vmware cloud it's really an ongoing regular conversation about how we can work together to bring the best to our customers so Beth I gotta ask you so you're part of your role as the leader of the the division is obviously you gotta get a lot of mouths to feed big division you got to make your plan you got to deliver for customers but strategy is another key component of this how do all these cloud trends shape your strategy so core to our strategy is to be the essential provider of data protection for multi cloud environments so no matter where customers are choosing to deploy their applications they can have the same confidence that they always did that that data is protected and the way they can get it back so that's core and if you want three words to remember for our strategy think VMware cloud and cyber cloud is central to it and you're going to be hearing a lot more about it in the weeks and months ahead okay so I gotta ask you break out your binoculars maybe even the telescope what are the future what are the future's look like when you think about the division and the market so we've been talking about cloud for a long time but we are still in the middle of this journey customers are going to rely on the cloud even more for additional use cases and especially in the data protection space right now we're seeing backup to the cloud dr to the cloud but the future will include cyber resiliency that's leveraging cloud deployments you're also going to see more and more of an emphasis on people leveraging SAS for their software consumption and for us that means not only protecting SAS applications but it also means giving customers the option to consume data protection in a SAS model we already do that today with things like cloud snapshot manager with things like the power protect management and orchestration but you're going to see us do even more of that because they're just incredible benefits of people leveraging sass to consume their software data constantly evolving lamps landscape data protection has to evolve with it Beth thanks so much for thank you and thank you keep it right there we'll be right back right after this short break from world famous cloud Studios Dell Technologies presents the world's number one show on data protection solutions for today's organizations it's proven in modern magazine with Jake and Emmy hello everyone and welcome to the premiere of PM magazine where we cover the proven Dell technology solutions that you've come to rely on and the latest modern innovation driving powerful data protection for the future I recently spent some quality time with one of our customers and I learned a thing or two about Dell proven data protection solutions let's watch the clip we've always relied on tell performance efficiency and scale to help us keep pace with our data protection needs but there's so much more for example we've been crushing it with Dell cloud data protection for backup to the cloud in cloud backup cloud tearing cloud dr uh-huh look at the picture it's a huge business advantage how so our costs are down we spend less time on management we're meeting our service levels and we have peace of mind that all of our data is protected right awesome did you talk about how Dells agile development approach is accelerating the speed at which we deliver customer value yes and how cloud capabilities will continue to grow yes and about VMware protection yes and cyber recovery yes I mean we covered all of that as well as the mega trends that require data protection with a modern approach well modern is exactly what our guests today are here to discuss Jake he is Ken fatale a noted data protection expert and joining us from the field on her vacation in the Bahamas is Barbara Penner of the data management Institute thank you both for being here so Ken what should our viewers think about when they hear the phrase modern data protection they should think new requirements for modern applications cloud native workloads Cubana is multi-cloud and data services to name a few Barbara would you add anything to that list I would add business service recovery on premises or in the cloud autonomous protection to auto detect and protect workloads across edge core and cloud infrastructure and lastly all of this must operate at global scale thank you both this is exactly where we're heading with Dell power protect solutions well it's time for a break but when we come back we've got something special in store for you don't we Jake I was hoping you forgot oh no someone learned how to make cream puffs and it did not turn out well for him yeah my apologies in advance to my mother who tried to show me around the kitchen but as you can see we'll be right back [Music] we're back with Rob and Rob Emslie who's the director of product marketing for Delhi MCS data protection division Rob good to see you hi Dave good to be back so we just heard from Beth about some of the momentum that you guys have from your perspective from a product angle what is really driving this yeah well one of the things that we've you know definitely seen is that as we talk to our customers both existing and new customers cloud journeys is is top of mind for all of the CIOs it's being driven by either the desire to drive efficiency take out costs and data protection is one of the the most common use cases and one of the things that we find is that there's four use cases for data protection that we see long term retention of data cloud disaster recovery backup to the cloud and the emerging desire to stand up new applications in the cloud that need to be protected so backup in the cloud really completes the four major use cases well one of the things I think is really important this market is that you deliver optionality to your customers so how are our customers enabling these use cases yeah so the the first two UK's first two use cases of long term retention and cleitus recovery is is really driven by our software on our appliances both of those are really predicated based upon the assumption that customers are going to deploy data protection on premises to protect their on-premises workloads and then it's here to the cloud or which is becoming more common used to cloud as a disaster recovery target you know it's delivered by our data protection software and that's either in a software form factor or that software delivered in an integrated appliance form factor so let's talk about purpose-built backup appliances I think you know our friends at IDC I think you know coined that they tracked that market for a while you guys have been a leader there the acquisition of data domain obviously put you in a really strong position give us the update there is it's still a vibrant market is it growing what's the size it's it look like yeah so as we look at 2020 you know IDC forecasts the market size to be a little under five billion dollars so it's still a very large market the overall market is growing at a little over four percent but the interesting thing is that if you think about how the market is is made up it's made up of two different types of appliances one is a target appliance such as data domain and the new power protect dd and the other is integrated appliances where you integrate the target appliance architecture with data protection software and it's the integrated appliance part of the market that is really growing faster than the other part of the of the people being market it's actually growing at 8% in fact IBC's projection is that by 2022 half of the purpose-built back to appliance market will be made up of integrated appliance solutions so it's growing at twice the overall market rate but you guys have two integrated appliances what why - how should people think about those yeah so a little under three years ago we introduced a new integrated appliance the called the integrated data protection appliance it was really the combination of our backup software with our data domain appliance architecture and the integrated air protection appliance has been our workhorse for the last three years really allowing us to to support that that fastest-growing segment of the market in fact last year the integrated air protection appliance grew by over a hundred percent so triple digit growth was great you know it's something that you know allows us to address all market segments all the way down to SMB all the way to the enterprise but last year one of the things you may remember at Delta Nadi's world is we introduced our power to protect portfolio you know and that constituted power protect data manager our new software to find platform as well as the delivery of packet there in an integrated appliance form-factor with perfectly x400 so that's really our our new scale out data protection appliance we've never had a scale out appliance in the architecture before in the portfolio before and that gives us the ability to offer customers choice scale up or scale out integrated and target and with the X 400 it's available is a hybrid configuration or it's also our first or flash architecture so really we're providing customers with the existing software solutions that we've had in the market for a long time an integrated form factor with the integrator protection appliance as well as the brand-new software platform that will really be our innovation engine that will be where we'll be looking at supporting new workloads and certainly leaning into how we support cloud air protection and the hybrid cloud reality of the next decade okay so one of the other things I want to explore is we've heard a lot about your new agile development organization Beth has talked about that a lot and the benefit obviously is you're more you're able to get products out more quickly respond to market changes but ultimately the proof is in translating that development into product what can you tell us about how that's progressing yep so certainly with Papa Tech Data Manager and the X 400 that really is the the epicenter of our agile product development activities you know we've moved to a three-month cadence for software releases so working to deliver a small batch releases into the market much more rapidly than we've ever done before in fact since we introduced palpitate Denham manager where we we shipped the first release in July we're now at the third iteration of palpitate Data Manager and therefore the third iteration of the x100 appliance so there's three things that you know I'd like to highlight within the x100 appliance specifically first is really the the exciting news that we've introduced support for kubernetes so we're really the first you know large enterprise data protection vendor to to lean into providing kubernetes data protection so that becomes the vitally important especially with the developments over our partner in VMware with vSphere 7 with the introduction of tan zoo and the reality is that customers will have both these fear virtual machines and kubernetes containers working side-by-side and both of those environments need to be protected soap a patek denim algae and the x400 appliance has that support available now for customers to take advantage of second we talked about long-term retention of of data in the cloud the x100 appliance has just received the capabilities to also take part in long term retention to AWS so those are two very important cloud capabilities that are brand-new with the excellent appliance and then finally we introduced yet 400 appliance with a maximum configuration of four capacity cubes rough-and-tough that was 400 terabytes of usable capacity we've just introduced support of 12 capacity cubes so that gives the customers the ability to scale out the x100 appliance from 64 terabytes all the way to over a petabyte storage so now if you look at our two integrated appliances we now cover the landscape from small numbers of terabytes all the way through to a petabyte of capacity whether or not you pick a scale up architecture or a scale length architecture yeah so that really comes back to the point I was making about optionality and kubernetes is key it's gonna be a linchpin obviously a portability for multi cloud sets that up as we've said it's it's not the be-all end-all but it's a really necessary condition to enable multi cloud which is fundamental to your strategy absolutely alright Rob thanks very much for coming on the cube it's great to have you thanks Dave and thank you for watching everybody this is Dave Volante for the cube we'll see you next time [Music]

>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube. Lisa Martin Day Volante is my co host were a pure accelerate 2019 in Austin, Texas. A couple of guests joining us. Next. Please welcome Barack elected director product management for slunk. Welcome back to the Cube. Thank you. And guess who's back. Von Stewart. V. P. A. Technology from pure Avon. Welcome back. >> Hey, thanks for having us guys really excited about this topic. >> We are too. All right, so But we'll start with you. Since you're so excited in your nice orange pocket square is peeking out of your jacket there. Talk about the Splunk, your relationship. Long relationship, new offerings, joint value. What's going on? >> Great set up. So Splunk impure have had a long relationship around accelerating customers analytics The speed at which they can get their questions answered the rate at which they could ingest data right to build just more sources. Look at more data, get faster time to take action. However, I shouldn't be leading this conversation because Split Split has released a new architecture, a significant evolution if you will from the traditional Splunk architectural was built off of Daz and a shared nothing architecture. Leveraging replicas, right? Very similar what you'd have with, like, say, in H D. F s Work it load or H c. I. For those who aren't in the analytic space, they've released the new architecture that's disaggregated based off of cashing and an object store construct called Smart Store, which Broth is the product manager for? >> All right, tell us about that. >> So we release a smart for the future as part of spunk Enterprise. $7 to about a near back back in September Timeframe. Really Genesis or Strong Smart Strong goes back to the key customer problem that we were looking to solve. So one of our customers, they're already ingesting a large volume of data, but the need to retain the data for twice, then one of Peter and in today's architecture, what it required was them to kind of lean nearly scale on the amount of hardware. What we realized it. Sooner or later, all customers are going to run into this issue. But if they want in just more data or reading the data for longer periods, of time, they're going to run into this cost ceiling sooner or later on. The challenge is that into this architecture, today's distributes killer dark picture that we have today, which of all, about 10 years back, with the evolution of the Duke in this particular architecture, the computer and story Jacqui located. And because computer storage acqua located, it allows us to process large volumes of data. But if you look at the demand today, we can see that the demand for storage or placing the demand for computer So these are, too to directly opposite trans that we're seeing in the market space. If you need to basically provide performance at scale, there needs to be a better model. They need a better solution than what we had right now. So that's the reason we basically brought Smart store on denounced availability last September. What's Marceau brings to the table is that a D couples computer and storage, So now you can scale storage independent of computers, so if you need more storage or if you need to read in for longer periods of time, you can just kill independent on the storage and with level age, remote object stores like Bill Flash bid to provide that data depository. But most of your active data said still decides locally on the indexers. So what we did was basically broke the paradigm off computer storage location, and we had a small twist. He said that now the computer stories can be the couple, but you bring comfort and stories closer together only on demand. So that means that when you were running a radio, you know, we're running a search, and whenever the data is being looked for that only when we bring the data together. The other key thing that we do is we have an active data set way ensure that the smart store has ah, very powerful cash manager that allows that ensures that the active data set is always very similar to the time when your laptop, the night when your laptop has active data sets always in the cash always on memory. So very similar to that smarts for cash allows you to have active data set always locally on the index. Start your search performance is not impact. >> Yes, this problem of scaling compute and storage independently. You mentioned H. D. F s you saw it early on there. The hyper converged guys have been trying to solve this problem. Um, some of the database guys like snowflakes have solved it in the cloud. But if I understand correctly, you're doing this on Prem. >> So we're doing this board an on Prem as well as in Cloud. So this smart so feature is already available on tramp were also already using a host all off our spun cloud deployments as well. It's available for customers who want obviously deploy spunk on AWS as well. >> Okay, where do you guys fit in? So we >> fit in with customers anywhere from on the hate say this way. But on the small side, at the hundreds of terabytes up into the tens and hundreds of petabytes side. And that's really just kind of shows the pervasiveness of Splunk both through mid market, all the way up through the through the enterprise, every industry and every vertical. So where we come in relative to smart store is we were a coat co developer, a launch partner. And because our object offering Flash Blade is a high performance object store, we are a little bit different than the rest of the Splunk s story partner ecosystem who have invested in slow more of an archive mode of s tree right, we have always been designed and kind of betting on the future would be based on high performance, large scale object. And so we believe smart store is is a ah, perfect example, if you will, of a modern analytics platform. When you look at the architecture with smart store as brush here with you, you want to suffice a majority of your queries out of cash because the performance difference between reading out a cash that let's say, that's NAND based or envy. Emmy based or obtain, if you will. When you fall, you have to go read a data data out of the Objects store, right. You could have a significant performance. Trade off wean mix significantly minimized that performance drop because you're going to a very high bandwith flash blade. We've done comparison test with other other smart store search results have been published in other vendors, white papers and we show Flash blade. When we run the same benchmark is 80 times faster and so what you can now have without architecture is confidence that should you find yourself in a compliance or regulatory issue, something like Maybe GDP are where you've got 72 hours to notify everyone who's been impacted by a breach. Maybe you've got a cybersecurity case where the average time to find that you've been penetrated occurs 206 days after the event. And now you gotta go dig through your old data illegal discovery, you know, questions around, you know, customer purchases, purchases or credit card payments. Any time where you've got to go back in the history, we're gonna deliver those results and order of magnitude faster than any other object store in the market today. That translates from ours. Today's days, two weeks, and we think that falls into our advantage. Almost two >> orders of magnitude. >> Can this be Flash Player >> at 80%? Sorry, Katie. Time 80 x. Yes, that's what I heard. >> Do you display? Consider what flashlight is doing here. An accelerant of spunk, workloads and customer environment. >> Definitely, because the forward with the smart, strong cash way allow high performance at scale for data that's recites locally in the cash. But now, by using a high performance object store like your flash played. Customers can expect the same high performing board when data is in the cash as well as invented sin. Remorseful >> sparks it. Interesting animal. Um, yeah, you have a point before we >> subjects. Well, I don't want to cut you off. It's OK. So I would say commenting on the performance is just part of the equation when you look at that, UM, common operational activities that a splitting, not a storage team. But a Splunk team has to incur right patch management, whether it's at the Splunk software, maybe the operating system, like linen store windows, that spunk is running on, or any of the other components on side on that platform. Patch Management data Re balancing cause it's unequal. Equally distributed, um, hardware refreshes expansion of the cluster. Maybe you need more computer storage. Those operations in terms of time, whether on smart store versus the classic model, are anywhere from 100 to 1000 times faster with smart store so you could have a deployment that, for example, it takes you two weeks to upgrade all the notes, and it gets done in four hours when it's on Smart store. That is material in terms of your operational costs. >> So I was gonna say, Splunk, we've been watching Splunk for a long time. There's our 10th year of doing the Cube, not our 10th anniversary of our 10th year. I think it will be our ninth year of doing dot com. And so we've seen Splunk emerged very cool company like like pure hip hip vibe to it. And back in the day, we talked about big data. Splunk never used that term, really not widely in its marketing. But then when we started to talk about who's gonna own the big data, that space was a cloud era was gonna be mad. We came back. We said, It's gonna be spunk and that's what's happened. Spunk has become a workload, a variety of workloads that has now permeated the organization, started with log files and security kind of kind of cumbersome. But now it's like everywhere. So I wonder if you could talk to the sort of explosion of Splunk in the workloads and what kind of opportunity this provides for you guys. >> So a very good question here, Right? So what we have seen is that spunk has become the de facto platform for all of one structure data as customers start to realize the value of putting their trying to Splunk on the watch. Your spunk is that this is like a huge differentiate of us. Monk is the read only skim on reed which allows you to basically put all of the data without any structure and ask questions on the flight that allows you to kind of do investigations in real time, be more reactive. What's being proactive? We be more proactive. Was being reactive scaleable platform the skills of large data volumes, highly available platform. All of that are the reason why you're seeing an increase that option. We see the same thing with all other customers as well. They start off with one data source with one use case and then very soon they realize the power of Splunk and they start to add additional use cases in just more and more data sources. >> But this no >> scheme on writer you call scheme on Reed has been so problematic for so many big data practitioners because it just became the state of swamp. >> That didn't >> happen with Splunk. Was that because you had very defined use cases obviously security being one or was it with their architectural considerations as well? >> They just architecture, consideration for security and 90 with the initial use cases, with the fact that the scheme on Reid basically gives open subject possibilities for you. Because there's no structure to the data, you can ask questions on the fly on. You can use that to investigate, to troubleshoot and allies and take remedial actions on what's happening. And now, with our new acquisitions, we have added additional capabilities where we can talk, orchestrate the whole Anto and flow with Phantom, right? So a lot of these acquisitions also helping unable the market. >> So we've been talking about TAM expansion all week. We definitely hit it with Charlie pretty hard. I have. You know, I think it's a really important topic. One of things we haven't hit on is tam expansion through partnerships and that flywheel effect. So how do you see the partners ship with Splunk Just in terms of supporting that tam expansion the next 10 years? >> So, uh, analytics, particularly log and Alex have really taken off for us in the last year. As we put more focus on it, we want to double down on our investments as we go through the end of this year and in the next year with with a focus on Splunk um, a zealous other alliances. We think we are in a unique position because the rollout of smart store right customers are always on a different scale in terms of when they want to adopt a new architecture right. It is a significant decision that they have to make. And so we believe between the combination of flash array for the hot tear and flash played for the cold is a nice way for customers with classic Splunk architecture to modernize their platform. Leverage the benefits of data reduction to drive down some of the cost leverage. The benefits of Flash to increase the rate at which they can ask questions and get answers is a nice stepping stone. And when customers are ready because Flash Blade is one of the few storage platforms in the market at this scale out band with optimized for both NFS and object, they can go through a rolling nondestructive upgrade to smart store, have you no investment protection, and if they can't repurpose that flash rate, they can use peers of service to have the flesh raise the hot today and drop it back off just when they're done within tomorrow. >> And what about C for, you know, big workloads, like like big data workloads. I mean, is that a good fit here? You really need to be more performance oriented. >> So flash Blade is is high bandwith optimization, which really is designed for workload. Like Splunk. Where when you have to do a sparse search, right, we'll find that needle in the haystack question, right? Were you breached? Where were you? Briefed. How were you breached? Go read as much data as possible. You've gotta in just all that data, back to the service as fast as you can. And with beast Cloud blocked, Teresi is really optimized it a tear to form of NAND for that secondary. Maybe transactional data base or virtual machines. >> All right, I want more, and then I'm gonna shut up sick. The signal FX acquisition was very interesting to me for a lot of reasons. One was the cloud. The SAS portion of Splunk was late to that game, but now you're sort of making that transition. You saw Tableau you saw Adobe like rip the band Aid Off and it was somewhat painful. But spunk is it. So I wonder. Any advice that you spend Splunk would have toe von as pure as they make that transition to that sass model. >> So I think definitely, I think it's going to be a challenging one, but I think it's a much needed one in there in the environment that we are in. The key thing is to always because two more focus and I'm sure that you're already our customer focus. But the key is key thing is to make sure that any service is up all the time on make sure that you can provide that up time, which is going to be crucial for beating your customers. Elise. >> That's good. That's good guidance. >> You >> just wanted to cover that for you favor of keeping you date. >> So you gave us some of those really impressive stats In terms of performance. >> They're almost too good to be true. >> Well, what's customer feedback? Let's talk about the real world when you're talking to customers about those numbers. What's the reaction? >> So I don't wanna speak for Broth, so I will say in our engagements within their customer base, while we here, particularly from customers of scale. So the larger the environment, the more aggressive they are to say they will adopt smart store right and on a more aggressive scale than the smaller environments. And it's because the benefits of operating and maintaining the indexer cluster are are so great that they'll actually turn to the stores team and say, This is the new architecture I want. This is a new storage platform and again. So when we're talking about patch management, cluster expansion Harbor Refresh. I mean, you're talking for a large sum. Large installs weeks, not two or 3 10 weeks, 12 weeks on end so it can be. You can reduce that down to a couple of days. It changes your your operational paradigm, your staffing. And so it has got high impact. >> So one of the message that we're hearing from customers is that it's far so they get a significant reduction in the infrastructure spent it almost dropped by 2/3. That's really significant file off our large customers for spending a ton of money on infrastructure, so just dropping that by 2/3 is a significant driver to kind of move too smart. Store this in addition to all the other benefits that get smart store with operational simplicity and the ability that it provides. You >> also have customers because of smart store. They can now actually bursts on demand. And so >> you can think of this and kind of two paradigms, right. Instead of >> having to try to avoid some of the operational pain, right, pre purchase and pre provisional large infrastructure and hope you fill it up. They could do it more of a right sides and kind of grow in increments on demand, whether it's storage or compute. That's something that's net new with smart store um, they can also, if they have ah, significant event occur. They can fire up additional indexer notes and search clusters that can either be bare metal v ems or containers. Right Try to, you know, push the flash, too. It's Max. Once they found the answers that they need gotten through. Whatever the urgent issues, they just deep provisionals assets on demand and return back down to a steady state. So it's very flexible, you know, kind of cloud native, agile platform >> on several guys. I wish we had more time. But thank you so much fun. And Deron, for joining David me on the Cube today and sharing all of the innovation that continues to come from this partnership. >> Great to see you appreciate it >> for Dave Volante. I'm Lisa Martin, and you're watching the Cube?

>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube, The leader and live tech coverage. I'm Lisa Martin with David Dante. We got a pretty cool guests coming up next, guys, you may have seen him here on the Q before. He has back Matt Harris, the head of I T for Mercedes AMG, Petronas Motor Sport. Matt, Welcome back. >> Often a >> way got the car over there with excitement. One of the coolest sports I've ever become involved with. Formula One is this incredible mix of technology strategy. All these crazy things you guys that Mercedes have been partners, customers a cure for about what? 45 years? >> 2015. As a customer, we became partners in 2016. >> I wonder if they like to save Mercedes AMG Petunias Motor Sport has had five consecutive years of both constructors championships driver's championships. You're a great position on both for 2019. It was a little bit of a history about the product that you put out on truck every other week and how pure storage is a facilitator of that. >> Yeah, okay, so it's an interest in a story for those that are interested in Formula One, because what you see on the track looks the same. But realistically, every time he goes out, the guarantee will be different. That level of difference could be a simple wing change or configuration, always based on data that we're learning from during a race again. But every week we also have a different car dependent on the track we're going to. So we have two different worlds that basically were to rate on a minute by minute, hour by hour and day by day at the track. But in the factory, that could be the same sort of it oration. But it could also be into weekly or monthly or year for a car. So all of that is based on data. So everything we do is that businesses revolves around data. We never make a change to the car without me now to back it up with empirical knowledge. Even if the driver turns around and tells us they feel something called, they believe something, we will always make sure we have data to back up that decision, So access to data is critical. Compute performance whether it's high performance, compute for our safety, for instance, whether it's for you as an end user, access to data is critical across everything that we do is time critical Time is our currency really as a business if we slow down your job? Generally, that probably means that you've got less time to make the correct decision. Or maybe you have to turn into a guess or a hunch, which that's never a good place to be in our sport. >> No, I would think not. >> I've I recall, from our conversation last year their rules that say, How many people you can have in your entourage like 60. I think it was yes, and at the time I think you said you got, like, 15 Allocated to data. Is that ratio kind of still holding? I >> still exactly the same in our tracks. On environment, they're still the same in the factory. We have more than that, depending on how many people on what time of day, what day of the week. So on a Friday race day, practice day, we can have a minimum. There'll be 30 people in our race support room will be looking at data along with those other 15. But you can have the whole Aargh department or design department or logistics. Whoever could still be looking at data from the track real time, so we can have as many as 4 to 500 looking at data if they want to. And if that's the right thing going on earlier in the season, you generally get more people looking As the season goes on. It's probably more aargh focused, maybe mechanically if we got something new, or maybe the engine division again in a completely separate building in the U. K 40 miles apart, they've got another set of people that will be looking and trolling through data riel time from the but looking really at the power unit rather than the chassis side. >> And you're generating, like roughly half a terabyte a weekend on a race weekend. Is that still about the same? Or is that growing a car >> perspective? It's just under half a terabyte, but we produce up to another half a terabyte of other supporting data with that GPS data, weather data, video, audio, whatever it would be other information to help with the strategy side of things So we're around 77 50 to 1 terabyte for race weekend, >> and each car has about 300 sensors. I think when we spoke with you last year, or maybe you're half ago is about 200 so that's increasing in terms of all the data being captured every race weekend. But one of the things that I love that matter sizes, you know, we're idea at Mercedes is not that unlike I t at other groups who really rely on high performance systems. But you do put out a new product every two weeks and this really extreme range of conditions, your product is extremely expensive as pretty sexy. Like the portability factor. You have to set up a tea shop, have any 20 weekends a year and set it up in what, 36 hours and take it down in six. >> And a nine year old joke about the taking it down in six is a bit like a Benny Hill sketch. It's obviously choreographed and, well, well rehearsed, but we have all the same systems as any normal business would have the tracks. That environment is very different, though we don't have air conditioning in so all the IittIe equipment has to work at the natural ambient air temperature of the country. We're in this year. Believe it or not, Germany and hungry have been our biggest challenge. We've had for the last 43 to 4 years because they had 45 degree air ambient air temperature. So forget humidity for a minute, which is Another kettle of fish probably affects us a bit more, maybe, than the systems, but we're only chucking that air as fast as we can across the components. So we're not putting any cooling into what is probably around the tolerance of most I T systems. So we have to rely basically on air throughput to terminate. Keep kit. Cool. Now the benefit with pure is actually doesn't create any heat, either. There's no riel heat generation, so it's quite tolerant, which helps us get it doesn't create Maur, but the environment we put it into is quite special. But what we're doing is what any business would want to do. Access toe email file systems. What we're trying to do is give it in a performance fashion. People need to make a decision. So in qualifying, for instance, those 300 sensors. That information that we've got from the car, we've got minutes to make a decision based on data. If it takes you too long to get the data off, you can't then look at the data to make a decision. So we have to make sure data in just from the car and then basically multi access from everybody in the factory or the track side is performance enough to make a decision before the car goes back out again. Otherwise, we're wasting track time. >> So you've always had data in this business. Early days was all analog, and it obviously progressed and thinking about what you want to do, Going forward with data. What kind of information or capabilities don't you have? Where that technology in the future could address >> s so interesting. One is technology of the future. If you know what it is, let me know with what we know right now, I think a lot of it's gonna be about having the ability to have persistent storage. But actually the dynamic of the compute resource eso looking at things like kubernetes or anything like that to turn around and have dynamic resource spin up as and when required to do high performance computer calculations based on the data, maybe to start giving us some automated information, I'm gonna be careful of the M l A. I is for our businesses, it's not quite as simple as others because our senior management very technically capable, and they just see it as advanced statistical analysis. So unless you program, it is not gonna give you an answer. Now we've started to see some things this year were actually the computer is teaching us things we didn't ask it to. So we have got some areas where we're beginning to learn that. That's not necessarily the case now, but for us that access to data moving forward, it's probably gonna be compute. Combined with that underlying storage platform, there's going to be critical onstage. You you heard Robin people talking about the ability to have that always present storage layer with the right computer. That's something for us is going to be critical, because otherwise we're gonna waste money and have resource sat doing nothing. >> Is security >> an issue for you? I mean, it's an issue for everybody, but there isn't a game of honor because you got this, you know, little community that you guys trying to hack each other systems. >> So it's an interesting one inside the sport, Actually, no. Because a few years ago there was a very high profile case where data went between two teams and there was £100 million fine's exclusion from the sport for a season. So that's that's >> too big. You don't mess with that. >> But also, if you think of that from our perspective, we've got the Daimler star on here. We cannot afford to have any of that Brenda brand reputational rubbing off on Damon's. So that's a no no other teams I can't talk for. But we're all fairly sensible between ourselves. What will be interesting moving forward is what technologies air in our sport, but actually of the whether their motor manufacturers or not, is their technology in there that they're interested in. Maybe the battery technology from the power unit side of things is that the power unit itself. So are other things actually more interesting to those other >> places. It legal for you, you know, by the rules of sports, a monitor, just data or captured data, whether it's visual, whatever from your competitors. Eso anything, >> this public? Yes, it's fair game. Okay, so we get given all the teams. Actually, we get a standard set of three or four different streams of information around GPS timing on some video feeds and audio feeds on their publicly consumable by the team's. When I say public for a second on those feeds, we can do what we like. You know that there for us to infer information, which we do a lot off, is what helps our strategy team to turn around and actually predict what we might or might not need to do as far as a pit stop or tire degradation. >> And that's where the human element must come into understanding the competent, like to football coaches who who know each other right? >> Well, yes. And now, if you think if you add to that the human element off Well, what happens if one team strategy person changes? Are they gonna make a different call based on the same data? Is their hunch different? Do they think they know better within a team? You can have that discussion. So what happens in another team where they're cars, not as performance so their mindset. Maybe they're thinking differently. Or maybe a team's got the most performance car of the moment and they think that they're going to do X. And we're like, Well, we're gonna do something different than to try and actually catch them out. So do we. Now don't do the normal thing. >> So let's hope >> Gamification I love it. >> Let's look at all. Make a prediction. 2019 is gonna be another Mercedes AMG way. So at the end of the season, all of the data that you have collected from the cars, all the sensors, all the weather data, GPS, et cetera how does pure facilitate in the off season the design of the 2020 car, for example, Where does where does things like computational fluid dynamics? >> Okay, so all of our production data is on pure, whether it's on a ray or blade somewhere, it's on pure storage across the site. So they're involved. Whether you're talking about design, whether you're talking about final element analysis for hyper a ll, the C f. D. Using high performance computer systems, everything some pure so from that point of view, is making sure we're using the right resource in the right place to get the best performance. Now, see if he's an interesting one because we're regulated by the F A a. About the amount of compute that weaken you. He's now. Because of that, you want it to be as efficient as you possibly can. It's not speed but the efficient use off CPU time. So if a CPU is waiting for data, that's wasted, Okay, so for us, it's trying to make sure that whole ecosystem is as efficient as we can. That's obviously an integral part of everything we do, so whether we're wind tunnel testing, whether we're in the dino, the simulators, but everything basically comes back to trying to understand and correlate the six or seven different places we generate data, trying to make sure that when there's a change in the simulator, we understand that change in the real world or in a diner or in safety. So all of that, what pure do is allow us to have that single place to go and look how I perform and always available. And for me, I don't have to have a story. Jasmine. Yeah, we've got a team of people that actually are thinking about that for us at Pure, You know, there is invested in us these days. Yeah, I walk around here, I'm very fortunate. I get to see all of the senior guys here and there. They are asking me what's going on and how's things with sequel Oracle Because they know exactly what we're doing and they're they're trying to say what's coming. So things like object engine Pierre So we've been talking to pure about using that over the coming months. But what? We're not having it at the moment. Go out and learn it. Actually, they coming in and they're telling us all about it. So they become a virtual extension to my team, which is just amazing. >> Yeah, far more efficient. You're able to focus on a much more things that drive value for the business. As we look at some of the things like the Evergreen business model. What were some of the big ah ha we hear is the right solution for us back in 2015. Is that >> so? Evergreen and love. Your stories were two things at the time that we're just incredible for us because love your storage was basically you could have an array and basically you could use it. And there was no commitment, no anything. But if you like that, you could keep it, obviously, paying for it. Ah, nde. When we did that in the factory, basically, within a week of being in there that the team were like, Whoa, hang on, that's going nowhere. So that was That was a nice, easy one. But Evergreen was an interesting one, which has only really, truly for me. I've always bought into it. But the last probably 18 months we've used it time and time and time again because the improvements with the speed of light x 90 coming envy Emmy drives. When we were looking at capacity, what we did was we turned round and said, Well, actually, we can buy more dense units in the next 90 so we're only buying the extra capacity, but we were getting new technology. So nations, all the innovation that you're putting into their products were getting it. So today, when they were talking about the memory based access, and if your things always sat there going, I can use that. Oh, and there's no there's no work for me, there's no effort. The only thing I gotta worry about is whether I've got capacity for that. Those modules to go in. So Evergreen has worked several times because I don't have to go back to the cap export and go. Could I have another x £1,000,000 please? Why? I need some more storage. Yeah, but you bought some of the other day. Yeah, well, that one. I need to get rid of it because I need a bigger one. And I don't have to do that. Now. I just go in. I'm telling them what the increases for which actually, they can choose Then if they want to increase, they know what the business benefit is rather than just I t has got to turn around and either replace it because of age or the new version doesn't support is not an uplift, not upgrade from the old. One >> I've seen was looking at some of your stats and the case study that's currently online on. Imagine these numbers have gone up 68% reduction in data center Rackspace and saving £100,000 a year and operating costs >> those that would have been probably two years ago. Ish roughly those figures. And the operating cost is a huge improvement for us. Cap Ex is probably the biggest one for me. They were moving forward with cost caps coming into Formula One. That type of thing is gonna be invaluable. Does not happen to do a forklift upgrade of your storage. Well, I wouldn't know what I would do if I had to upgrade what I now own from pure I can't even imagine what? I don't want to turn around town my bosses what that's >> gonna cost. Well, it sounds like you really attacked the op X side with R and D with pure r and D. I kind of like that shifting, you know, labor toe are Andy because you don't want to spend labour on managing storage a raise, make no sense for your business. Okay. What do you want? Pure toe spend? R and D are now, what problem can they saw for? You mean >> so racy is gonna help If I'm really honest, that's actually is gonna help fill a whole quite well for us because we weren't really sure what to put some of that less hot data we were like, Well, where we going to start to put this now? Because we were beginning to fill up the array and the blades. Actually, with a racy no, we can actually use that different class of storage actually, to keep it still online. Still be out to do some machine learning A. I in the future when that comes around. But actually I can now have Maur longevity out of my existing array and blades. So that's brilliant and coming, I think, having I need to be careful, I know some things that are coming. Uh, the active sinking array is brilliant, and we've been using that since it came out. Having that similar or same ability in Blade when it comes will be a very advantageous having those played enclosures. We've gone to multi chassis flash played over the last six weeks, so that for us is great. Once we can start to synchronize between those two, then that's ah, that's another big one for us, for resiliency, for fault, tolerance, but also workload movement. That thing I said about persistent stories, layer, I'm not gonna need to care where it is, and it will be worked out by the storage in the orchestration layer so it can have the storage in the computer in the right place. >> Wow. Great story, Matt, as always. And I think it's Pierre calls this the unfair advantage coming to life. Best of luck for the rest of the 2019 season. >> I'll take it. >> All right, We'll see you next time. >> Thank you. >> Keep before >> for David Dante. I am Lisa Martin. You're watching the Cube from Cure Accelerate in Austin, Texas.

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Howdy, y'all Welcome back to the cubes. Coverage of Day one of pure accelerate 19 from Austin, Texas. I'm Lisa Martin. My co host is Day Volonte. We got a couple of gentlemen here chatting with us. Next, we've got one of our alumni. Mike Bundy's back head of Cisco Worldwide alliances for appear. Mike. Welcome back. >> Thank you. >> Sporting the very dapper >> It's not ours today, but it's enough. >> I like it. Very subtle on we've got Andrew Tenant joining us for the first time Senior manager Worldwide sales at Cisco Andrew, Welcome to the Cube. >> Thanks for having us. >> So we know we've had lots of conversations with Cisco and Cure Isis. Go live. Just a few months ago, Mike was on with this bright orange blazer. You guys have been partners for about four years now, Mike, let's start with you and talk about the evolution of that partnership from Bogota Market. A field A sales perspective, right? Overall partnership. How are things going? >> Well, things were great from a mo mentum perspective. We're we're on track to eclipse You know, I'm not supposed talk about a lot of numbers, but in the next year we will eclipse together a billion dollar run rate >> with partnership, which is tremendous milestone >> in a 4 to 5 year regulations. So things were, well, you know, it started from the field and what customers were requiring. And now, in the last, um, year, we've we've added about six new CDs were up to 22 we have three in the queue between now and the calendar year. So in terms of the growth, the product development and momentum, it's it's tremendous. And what we'll talk about today will be kind of one of the next generations and errors that that will hit on regarding this. >> And you guys were also we had a conversation a little bit ago with with Nathan Hall. Really, this partnership with Cisco and Pure is now getting started in the field, as you were talking about, but it's all the way down into the engineering level in terms of being very pervasive throughout. You guys have really achieve that. Yes, >> Yeah, top to bottom, right From From that field, engagement began. It was watching our customers embrace purest innovation. Right? And everywhere you turned pure was showing up, and it was it was really the field. Say, Hey, we got to get on board with this. And Tim Shanahan, who's part of our correctional organization on the descent aside, said, Hey, this is a big deal. We need to get in front of this thing. So that's really you. Mention where it started. And now we're doing everything from integrating products, right, integrating management tools to try to bring that together for our customers. And it's It's an awesome partnership. >> Absolutely. So where's the product focus. Where do we start? >> Yes, so you joked, right? Fibre channel. I think I remember Fibre Channel from many years ago. It Cisco, and then you look back and suddenly it's not dead, right? The truth is, five channels the best protocol for mission critical storage traffic that's ever been built. It's probably best critical out there for that. It's not sexy, though, right, so we can't took our eye off the ball at Cisco. But as we now develop these next generation storage technologies, there's never been a more important time to bring that switching fabric into play right It's absolutely critical that we have the right tools to accomplish what our customers trying to deliver from applications standpoint. So the agility, the visibility, just the overall performance is more important today. That was back in sort of that the heyday of fibre channel, if you will. Right? So the partnership that we're working on right now is making sure that we're we're maximizing the outcome of these investments. Custer's making with all of yours storage offerings, leveraging a sand infrastructure that's compatible with it and really gonna make it sing. >> And you're right and you go back 10 plus years and it was a vice scuzzy was coming in, but had some f f C bigots is that I will never hang on to win the NFC. Oh, we now you got N v m e over fabric. We'll talk about that. But so from pure perspective, you have always had to pay attention to that segment of the market. Guys went hard after the high end. Of'em sees business, which was heavy fiber channel, absolutely early days. >> Yeah, I mean four out of five of our razor attached fibre channel to a customer's environment. It is core to what we do. And we're excited about the resell opportunity that we just started with pure because, you know, Andrew and I joke last week, but we put pen to paper in terms of we believe our our introduction of this is a re silk and help them grow their sand business by 35 40%. And that's the kind of disruption that we're seeing with our A raise in the market. And we think because of how we're evolving customers to modernize those networks, that we can drag the Sisko Fibre Channel business right along with it. >> This is a sorry Mike. This is a re sell pure reselling wth the MDS product line. How is you the pure Channel? Responding to this news? >> They love it because it's it's a new buying center, you know that they're getting to talk to Ah, and it helps us, you know, establish Maur, you know, understanding the customers, whole business, not just from a storage perspective. So >> So how was envy? Emmy changing landscape? What do you guys seeing there? I mean, you guys, I think the first another first Charlie didn't mention it today on stage, So money first. It's hard to keep track of. But how is that affecting? You know what's going on in the field? >> Yeah. So I mean, again, it's the timing of this generational shift to next. Gen. Sarge, envy me being probably the most critical of that. If we look at what happened with all flash A raise, for example, all of those ended up on critical mission critical workloads and all ended up on fibre Channel 80. 85% of those end up on that legacy technology because it was so capable of getting the job done. Envy me is gonna take us another leap forward so customers will be challenged toe have something that lives both in the what they have today and bridges them to that future proof state. Right? So it's absolutely critical that you have tools that are gonna let you adopt envy me as it makes sense on carry it operationally alongside the same modality that you had for those workloads in the past, right? That's the key. Is that the folks we're gonna own this stuff going forward to the ones who own it now, right? Just with maybe older technology >> and the business impact is what you could do more with less performance, lower costs, more >> last performance, visibility right so you can help. Troubleshoot way had a situation not that long ago where a customer had Honore, not it was a competitive ray, right? It was getting hammered and it was locking up. And when they looked at the the forensics coming off, the rate said they had 4000 I ops off of that array. A very nominal amount. It should have been the problem. It shifted the focus elsewhere. Well, using some of the telemetry built into the MPs platform, it was obvious that there were 25,000 I ops hitting that array because VM, where was doing a lot of command control traffic to the array. So having that visibility at the's scales and speeds, if you don't know what you're doing, you can't see what's going on. You could be flying blind and struggling and everybody loses there. So >> you know we're excited about this because we don't want to bring our rays into an environment that's not suited for high end performance and reliability, cause that's what we've kind of made our brand on when it comes to customer networks, especially with the X 60 and nineties that we launched the year ago. They're all envy me ready. So we want to make sure that, as we did, ploy that that the entire infrastructure's ready and Cisco, in my opinion, has the best. Every product is 64 gig capable. It's envy me today. And so we're ready, you know, envy me, you know, in the end, if you will. So when when the host are ready to take advantage of this full network and full storage system, we're ready. Um, an Andrew also mentioned analytics. So, you know, >> we we >> extract ourselves on the analytics capabilities of our system as it works today with after one and so that allows us to, you know, very quickly using machine learning solve most of our customers problems. In fact, we open about 85% of our own customers tak cases for them because we predict when things were going to get rough and bumpy. So as we extend and bridge that together with what Cisco has and their Sandwich Analytics capability, it's gonna make the experience way different than it would be on a competitive sand fabric and a competitive storage array, whether it's flash or not. So that's that's what we're doing together, which makes fiber Channel better and more unique than it has been in the past. >> In terms of adoption. You mentioned when the host guys already, What's the blocker? There's just silicon. Is it just, >> you know, you could You could take Cisco's example. You know, they're they're looking at the new memory technology. And how do they apply that to the interface adapter? And how do you handle that situation? So, you know, as they evolve their next platform, it will be pervasive in that. And I'm sure that the other you know, host providers are gonna be doing >> standards standards. Low hanging fruit was envy me over converge Ethernet, right, because that was kind of the first place to start. But reality is weaken were the only vendor who can provide both of those in the Cisco side. Right. So we have the same tooling on the same, actually administrative tooling on on either. Right. So that's ah, terrific. >> And it's not just the infrastructure from the hostess, the operating system as well. So you know Lennox can take advantage of it in a different way. So, you know, we're seeing most of our deployments today, our fibre channel over Ethernet, because the the customer base that air deploying that are purely a Linux based environment. So they're able to do that. So, as you know, not all of our enterprising and commercial customers run that environment. So it's It's a little bit of the technology. It's a little bit of the Intel cycle. It's a little bit of the operating system, but the point is, we're ready. And there's a long, long road map. You know, for customers if we go this route, >> when should customers start thinking about this terms >> immediately? Right? Ultimately, it's not a question of if it's a question of when, but if they're, if they're getting things ready now, if you're making investment today, you can make an investment today that accommodates what you're doing today. Like back in the day. If we were selling a storage platform, the sandwich is sort of this necessary thing behind the scenes. That wasn't necessarily you could actually let it sit there for a couple of generations of the storage it was supporting. That's no longer going to be the case right, because, quite simply, the evolution on the storage front. And it's so much faster that you need to make sure the thing you're plugging it into. That's a simple question for any customer there. What'd you plugging this into right? Because at the end of the day, if it's just that that old san you have sitting around it may or may not be capable. Regardless of Endor, right, it's it's gonna actually diminished value you get in the time value of that investment you've made in this incredible platform. >> So where are you having these customer conversations that we talk about the joint go to market in the field? You know, it's It's not just about fibre channel and speed and storage, these air business critical work loads that are being protected and run and access to be able to extract all these insights. When you're talking with customers, where are you? You're not at the storage. I've been level. I imagine this is a much more business intensive conversation. It's a >> great question. Go ahead. >> So I think you know people that are driving the cloud platform strategy for the infrastructure. They obviously need to understand how. How does this work in a hybrid cloud or multi cloud environment? Then you've got, you know, the people that are developing the mission Mission critical business APS. Whether that's you know, Oracle s a p et cetera, et cetera. But it's also the non traditional business APS that are coming to play things that leverage stores that are file or object oriented, or kubernetes or things like that. It's so you're having discussions with the teams that are deploying the apse for the business and that will drive and dictate the requirements. Is that you know, we're trying to help the infrastructure on the cloud infrastructure teams adapt to >> multi cloud piece gets interesting here, right? Because us now talk about building massively scalable distributed systems, and you're not gonna be able to You don't want to necessarily ship all your data around, but you want to ship the metadata and be smart enough to know where the data is so you can go ship to compute right to the data, right? And I >> think that that's another interesting thing. And a positive aspect of leveraging some things we've already done with Cisco is you know they have the concept of a C I anywhere. No, you know, just like we're doing with Cloud Block store of extending that storage capability into the cloud. Cisco has done the same with a C I. So it's not just it's not sure, making sure the workload in the data payload our mobile, but also the application. And that's, you know, yes, that that may not be the case today for Fibre Channel, but the technology is there if the customer demands it. So that's 60% of Cisco's revenue in the data center comes from his networking core. That's what we're more excited about. The next generation's partnership is we feel like we've done a good job and built momentum with the computer part of their business, and I think as we evolve into this part of the business, it's gonna It's gonna be better for customers. In the end, >> it's either today, customers gonna spend more time operating this than anything, right, and really, that's all about visibility. Meantime, the resolution just how quickly they can make sure that those this thing's running and and as proactively get in front of congestion and issues at a time if they can. So it's Ah, it's a complimentary hardware software problem solved. You have to be able to do things at extremely high rates of speed with visibility I've never seen before. So analytics built into a six incredibly important stuff to get that streaming right out of the chip so you could tell what's going on at any level of the stack. Where is Like I said today, we've seen many cases now where their challenges in the network and in the sand and on the array and everyone's blind to it because our >> engineers love it because the monitoring and the scoping capability that were required, a lot of sand fabrics to deploy would require extra tools. Extra tap kits Cisco has at built in the A six so literally. It's just enable that with software. And you can do all the diagnostics you ever wanted to do at the at the wire and the fiber level, >> as opposed to a discreet probe. Exactly a disruptive drives the >> costs way out. The complexity reduces risk troubleshooting floor space, you know, the whole you know >> that's big time >> based. So today there's an issue. Last night Hey, Mike, what happened last night? I know. Let me know. That happens again. That's pretty much the ticket Close, right? We could actually go back in time now kind of a DVR and actually see now for the first time in a sand fabric what's actually happening and go back and reconstruct it to figure out how we proactively prevent it going on from the next time. So >> so, Mike, Last question. We're out of time. But last question for you. Everybody says future proof. Pardon? Everybody says future proved how are is pure delivering that with Cisco. What is it gonna mean to that business leader that I have an infrastructure in place that will truly be the food? Your proof? >> Good question. So you know, it's evergreen is the term that pure uses for you know what we do. So you never buy the same storage twice, right? And if you look at the platform that Cisco has for MDS, it is clearly capable to 400 gig capability. And today most networks are purchased for 30 to get capable with 16 gig optics, so they have 32 64. There's a long way to go here so the platform and their innovation will continue this to be, you know, a future proof network that marries up with our evergreen story. So we were excited We wouldn't get in this relationship if we felt that it was not gonna provide the same level of benefits and standard that we have for our own customers. So >> correct. Mike Andrew. Thank you for joining David me on the Q. But way. Look forward to hearing what happens in your five of the pure Cisco relationship. I know. We'll probably stay tuned. I know we'll see you again. Thank you for your time. Thanks for David. Dante. I Lisa Martin. You're watching the cue from pure accelerate 19.

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue now Here's your host Day Volonte. >> Hello, everyone, this is David lot. They fresh fresh off the red eye from VM World 2019. And what I wanted to do was share with you some analysis that I've done with our friends at E. T. R. Enterprise Technology Research. We've begun introducing you to some of their data. They have this awesome database 4500 panel, a panel of 4500 end users end customers, and they periodically go out and do spending surveys. They've given me access to that spending data and what I wanted to do because because you had a number of companies announced this this quarter, I wanted to do a storage drill down so pure. Announced in late July, Del just announced yesterday late August. Netapp was mid August. HP was last week again late August, and IBM was mid July. So you have all these companies, some of which are pure plays like pure netapp. Others of you know, big systems companies on DSO. But nonetheless, I wanted to squint through the data and share with you the storage spending snapshot for the second half of 2019. So let's start with the macro. >> What you heard on the conference calls was some concern about the economy. There's no question that the tariffs are on people's minds, particularly those with large exposure exposure in China. I mean, Del obviously sells a lot of PCs in China, so they're very much concerned about that. IBM does a lot of business there, pure, really. 70% appears business roughly is North America, so they're not as exposed so But the macro is probably looks like about 2% GDP growth for the quarter i. D. C. Has the overall tech market growing at two ex GDP. Interestingly, a Gartner analyst told me in May on the Cube that there is no correlation between GDP and I t spend, which surprised me. Some people disagree with that, but But that surprised me. But nonetheless, we we still look at GDP and look at that ratio. Sometimes the other macro is component costs for years. For the storage business the last several years, NAND pricing has been a headwind. Supply has been down, it's kept prices up. It has kept all flash arrays more expensive relative to some of the spinning disc spread the brethren something that we thought would attenuate sooner. It finally has. Nan pricing is now a tailwind, so prices air coming down. What that does is it opens up new workloads that we're really kind of the domain of spinning disk before big data kind of workloads is an example. Not exclusively big data, but it just opens up more workloads for storage companies, particularly Flash Cos The other big macro we're seeing is people shifting to subscription models. They want to bring that cloud like model to the data wherever two lives on Prem in ah, hybrid environment in a public cloud and company storage companies trying to be that that data management plane across clouds, whether on prime it. And that's a That's a big deal for a lot of these companies. I'll talk a little bit more about that, so you're seeing this vision of a massively parallel, scalable distributed system play out >> where >> data stays where it lives. Edge on Prem Public Cloud and storage is really a key part of that. Obviously, that's where the data lives, but you're not seeing data move across clouds so much. What you are seeing is metadata, move and compute. Move to the data so that type of architecture is being set up. It's supported by architecture's, not the least of which are all flash, and so I want to get into it. >> Now I want to share with you some data on this slide. If you wouldn't mind bringing it up. Alex on spending momentum. So the title size spending moment of pure leads, the storage packs and what this shows is the vendor on the left hand side. And it essentially looks at the breakdown of the spending survey where e t r ask the buyers of the different companies products. What percent of the spending is going to go toward replacing? They're gonna replace the vendor. Are they gonna decrease? Spend. That's the bright red is replace. The sort of pinkish is decreased, the spending. The gray is flat. The sort of evergreen forest green is increase in the lime. Green is ad, so if you take the lime green in the forest, green ad and the grow on you subtract the rest. You get the net score, so the higher the net score, the better. you can see here that pure storage has the highest net score by far 48%. I'll show you some data later. That correlates to that when we pull out some of the data from the income statements. >> So this is Ah, the >> July 2019 spending intention surveys specifically asking relative to the second half what the spending intentions are. So this looks good for pure on again. I'll show you Cem, Cem Cem Income State income statement data that really affirms this Hewlett Packard Enterprise actually was pretty strong in the spending survey. Particularly nimble is growing HP Overall, the storage business was was down a little bit, I think, three points, but nimble was up 28%. So you're seeing some spending activity there. Netapp did not have a great quarter. They were down substantially. I'll show you that in a minute. On dhe, it looks like they've got some work to do. Deli M. C. I had a flat quarter. Dell has a such a huge install base. They're everywhere on DSO. Everybody wants a piece of their pie. Del. After the merger of the acquisition of the emcee, their storage share declined. They then bounce back. They had a much, much stronger year last year, and now it's sort of a dogfight with the rest. IBM IBM is in a major cycle shift. IBM storage businesses is heavily tied to its mainframe businesses. Mainframe business was way, way down, its overall systems. Business was down, even though power was up a little bit. But the mainframe is what drives the systems business, and it drags along a lot of storage. IBM has got a new mainframe announcement that it's got to get out. It's got a new high end storage announcement that it's got to get out, and it's really relying on that. So you can see here from the E T. R data, you know, pure way out ahead of the pack continues to gain share about over 1000 respondents to this. So a lot of shared accounts by shared accounts mean the number of accounts that that actually have some combination of multiple storage vendors. And so they were able to answer this 1068 respondents pure the clear winner here. Now let's put this into context. So the next slide I want to show you some of the key performance indicators from the June quarter off the income statements. >> So again you see, I get the vendor. The revenue for the quarter of the year to year growth for that quarter relative to last year. The gross margin in the free cash flow, just some of the key performance indicators that I'd like to look at. So look at pure Let's go, Let's go to the third column Look at growth pure 28% growth. Del flat 0% for this is just for storage. There's a storage growth. NETAPP down 16% end up in a bad quarter, HP down 3%. IBM down 21% Do due to the cycle that I discussed, You see the revenue, um, pure, growing very, very fast. But you know, from a small base or at 396 million versus compared that to Dell's 4.2 billion net APs 1,000,000,000 plus H p e. Almost a billion in IBM not nearly as large. And then look at the gross margin line. Pure is the industry's leading gross margin. It's just slightly above 69%. Dell is a blended that Asterix is a blended gross margin, so it includes PCs, servers, service's of V M wear, everything and, of course, storage. So now, when dehl was a public company before it went private, it's gross. Margins were in the high teens. So Del is in gross margin heaven with with both E, M C and V M wear now as part of its portfolio NetApp high gross margins of 67%. But that gross margin is largely driven by its gross margins from software and maintenance. And so that's a screen considerable contributor. Their product gross margins air in the mid fifties, kind of where I think E. M. C. Probably is these days. And when the emcee was a public company, it's gross. Margins were in the mid sixties, but then, as it was before, went private. I think it was dipping into the high fifties as I recall you CHP again, that's a blended gross margin, just roughly around 34%. I don't have as much visibility on their their storage gross margins. I would I would say they are below, in my view, what DMC and net out well below what Netapp would be on then IBM. That's again blended gross margin includes hardware. Software service is 47.4% probably half or more of IBM businesses. Professional service is on. IBM has, of course, a large software business as well. So and then the free cash flow you can see pure crushing it from the standpoint of of gaining share, I mean way, way ahead of the other market players, but only 14 million in free cash flow. So coming from a much, much smaller base, however pure, is purely focused on storage. So there are Andy. All their R and D is going into that storage space. DEL. Free cash flow very large. 3.4 billion that again is across the entire company. Net App. You can see 278 million h p e 648 million great quarter for HP from a free cash flow standpoint, I think year to date they're probably 838 140 million. So big Big quarter. For them. An IBM A 2.4 billion again. Dell, HP, IBM. That's across the company, as is the gross margin. So the the spending data from E. T. R. Really shows us that pure, strong Aziz showed you that very high net score and the intentions look strong, so I would suspect pure is going to continue to lead in the market share game. I don't see that changing. Certainly there's no evidence in the data. I think I think everybody else is in a sort of a dogfight del holding firm, you know, 0%. You'd like to see a little bit of growth out of that, but I think Del is actually, you know, Dell's key metric is, Are we growing faster than the market? That's that's they're sort of a primary criterion in metric for Dell is to grow faster than the overall market because that means you're growing some share. I think Del is comfortable with that. Della's gross margins actually were helped this this quarter by the fact that Dell server business was down 12%. There was a higher storage mix, so it propped up the margin a little bit. But again, generally speaking, it looks like pure is the market share winner here, but much, much smaller than the other guys. HB limbo very strong, and it shows up in the survey data from E T. R. And an IBM just needs to get a new product cycle out. So we'll come back. >> We'll take a look at this in in in in January and see how you know what it looked like and will continue to fall. Obviously, the income statement and the public reporting pure accelerate is coming up next month. Justin in mid September. I have no doubt, you know, pure has been first in a lot of different areas, right? They were first really all flash Ray. The only all flash. You're a company that ever reached escape velocity. They were they in Nutanix for the first kind of new $1,000,000,000 companies that people said would never have a billion dollar company. Pure is a pure play storage company, you know? Well, over a billion. Now, you know, they were first with that evergreen model. They made a lot of play there. You know, the first with envy, Emmy and first with the Nvidia relationships with Superior likes to be first. I have no doubt and accelerate next month down in Austin, curious that they picked Austin in Dell's backyard. I have no doubt that they're gonna have some other firsts at that show. Cuba be there watching just off of the emerald, the other big player here. Of course, that I'm not showing his v. San visa is very, very strong. You know, the D. E. T. Our data shows that, and certainly the data from the income statement shows of'em were NSX, the networking products, their cell phone to find network in their self defined storage of the the the V San. Very, very strong Pat Girl singer on the Cube. We asked him last week, Thio, take us through. So if someone has big memories and one of them was sort of East san, Excuse me. One of them was V San, and the board meeting at with Joe Tucci was on the Vienna where board really put a lot of pressure on Pat's and you can't do this to me. It's funny. Emcee had the shackles on the M, where for a number of years, but the shackles are off and visa is very, very strong. So these are some of the things we're keeping an eye on. Thanks for watching everybody busy day Volante, Cuban sites. We'll see you next time

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum, World 2019 brought to you by VM Wear and its ecosystem partners. >> Welcome back. We're here! Mosconi North for VM World 2019 10th Year of the Cube covering VM World. I'm stupid and my co host is John Troyer. And welcome to the program to guest from Del Technologies. Sitting to my right is Tender, my Mondal, who's the director of storage solutions and sitting to his right is David when the senior director of server, product planning and management also with Dell. Gentlemen, thanks so much for joining us. All right, so we've got server and storage and talk about something that we've been talking about for a while on the server side been delivered for a bit and on the storage side is now rolling out. So everybody's favorite topic. Nonviolent till memory express or envy me as it rolls off the tongue storage class memory, or SCM and lots of other things, you know, down there, really helping a big, transformational wave that, you know, we really changes how our applications interact with the infrastructure channel, you know, bring us up to date on the latest. >> Sure on, let's start where you ended. We're seeing explosion off applications, right? And in fact, in mornings, keynote. Bad girl singer had a stocky speaks. There are 352 million enterprise applications today. On it will be 792 million in three years. Now, as the applications are growing exponentially, we cannot keep growing the infrastructure at that rate, So N v m e is the way we can consolidate it. Ah, lot off the infrastructure. If we can think about in tow and envy, Emmy starting from the server in fear me off our fabric through the stories area down, toe the back end with envy Emmy necessities. This actually can put together a great platform where you can consulate it. Ah, lot off the applications and delivering the high performance low latency that will need while meeting video surfaced level objectives so we can go over a little bit off the details, but I think it all starts from envy me over fabric coming from the server to the story, Ari. So probably like that's the fourth step we need to consider >> David. Do You know, I love this discussion when we get to talk at the application later because, you know, Flash changed the market a lot. You know, it's like, you know, much better energy, and it's much faster, Anything. But you know, this inflection point that we're talking about for application modernization, you know, envy me is one of those enablers there and something they know your team's been working on >> for a while. Yeah, actually, on the power each side we've been, You know, we've been embracing the benefits of enemy for quite some so many years now, right? We start out by introducing enemy in our 12 generations servers, you know, frontloaded hot, serviceable drives. And then, of course, we branch out from there on in today, you know, Ah, a lot of the servers from a Polish family all support enemy devices. So the benefit there is really giving customer choices in terms of what kind of storage kind of cheering they wanted, you know, for the applications needs. Right now, one of things that's great about, you know, enemy over fabric is it's more than just a flash storage itself. It's about enabling the standards, you know, across the host across the data fire Break down to the storage really to deliver on the overall performance that you know the applications of needs and buy, you know, improving I ops and lower late, Easy overall, from a server perspective, this just means that we're releasing more CPU cycles back into the application so that they can run different types of workloads. And for us, this is this is a great story from power. Just was from Power Macs and coming together to enable this Emmy, Emmy or fabric. >> You know, I'm I'm I'm kind of slow about some of these things, but if you kind of squint at the history and, you know, we went from the PC revolution and then we had, you know, we had Sands and raise right and we had we had centralized toward shared storage last couple of years, a lot of interest and stale right hyper converged. And you had a You had a lot of pizza boxes with the storage right there. It's I mean, I now think right and I'm following the threat, I think which is now that where we now can have ah, Iraq with again a fabric and and again, now we can We can focus on our envy me storage over our envy me over fabric driven, solid state storage somewhere below my servers that are that are doing handling compute somewhere else. Is that that the future we're headed towards now >> Yes. I mean, everything has its place. But to give you the perspective, right? It's not just, I mean coming down to the storage area, but how This is enough bling, the future storage as well. And the storage class memory is the perfect example. And as Defeat said, let's take power, Max, as an example, right. Eso in power Max, you can It is like entrant, envy me ready like you get envy emi over Fabrica de front end But then we have n v m E s s trees in the back end. The thing is now it is also the N v m e is enabling technologies like stories class memory which is bringing in very high performance, very less latency Latency is going down in the order off like tents off microseconds. Now this is as close as you can get. Tow the like Dedham with persistent story. However, you need a balance. This is like order of magnitude are costlier. Now you got bar Max. What we're doing in terms of first, it's envy me. Done right? What do you mean by that? You have, like, Marty controller architectures that can actually do this level of parallel processing and our concurrency. And then we have bought, like, ECM for storage, class, memory and envy, Emmy essences. And we're doing intelligent tearing best on the built in mission learning engine that we have. And it is looking at 40 million data sets. Really time to decide. Like which sort of walk lords should go on this same drives which should go on and the M. E s estates. And on top of it, you add quality of service. So this platform gives you are service level objectives. You can choose from diamond, platinum, gold, silver or bronze, and you can consulate it. Ah, lot off those 352 million different types of applications on this area guaranteeing you are going to meet all off your SL s, no matter what type of applications they were consolidated into. >> Okay, I'm wonder if you could boast. You know bring us into what this means for VM wear customers and break it into two pieces. One is kind of a traditional virtualized shop. And secondly, you know, spend a lot of time in the keynote this morning talking about the cloud native containerized, you know, type of environment. Will there be any difference from from both of your world? >> Yeah, absolutely. I'm glad you brought that up because, you know, from from our perspective, right, what we've seen with the enablement of enemy platforms. You know, John, you brought up a very interesting point, right? It seems like you know, past couple years, we went from moving storage onto the host and now would envy me with fabric. We're actually taking the storage away from the host again. Right? And that's exactly true, because, you know, the first, the first statement you brought up stew. It's about how flash enabled different applications to run better on the host. What? We see that still right? And so what enemy? You know, we see the lower response time enabling our customers Thio run more jobs and more v ems per server. That's one aspect of it. You know, we've seen his benefit a lot of our platform today or using various different applications and solutions, and you talk about the ex rail that's a visa and story for Del. You Talk about Visa and ready notes for customers who want to build it themselves. Right platforms enabled would envy me back playing enemies. Storage allows them to use enemy or SAS sata whatever they want. But the point is, here is that when they're using every me flash, for instance, and I'll talk a little bit about the power climaxed with this all flash, uh, me back plane in a case in the study that we did with V San application running, oh ltp type of workload, we saw the response time with every me over traditional SAS, you know, from our competitors improved by 56% right, which means that from that same particular solution build out, we were able to add 44% more of'em on the platform. Now, at the same time, we increase the overall orders per minute by roughly over 600,000. Oh, pm's for that type of, uh, benchmark over our nearest competitors so that right there is the benefit that we see from my virtual eyes from, Ah, being where perspective >> on. I'll add from the storage perspective in two ways. In fact, in last vehement in a MIA, we demonstrated in tow and envy, EMI over five break up with special build off this fear supporting Envy me over fabric and stories. Class memory with envy Me drives what it gives you a regular like this fear best environment is that you have the ability to move your PM's around like the applications where the highest performance and Latin's is critical. It will be on those special service levels and special like de testers. In fact, that demonstration was like ECM did a store, and in P m E Sense media does so in the same fabric with in Bar Mexican moved things around, whether it's like regular Fibre Channel or CNN and then the other part. I want to add in the morning like we saw the announcement that now communities is built in or will be built in with the years Excite platform, right and you're sexy is bread and butter off all the storage customers that we have now with like when you consider those, uh, those things built in under this fear black from Think about, like how many applications? How many actualized workloads you can run, where that it's on premise or humor. Cloud on AWS. All of those consolidation, as well as like the performance needs while reducing your footprint does the benefit of the V M R R shops. But the PM admits are going to see from the storage site >> again. I'm not following the parts, but what kind of we're not talking about a couple of megabytes here anymore, Right? What size of parts are shipping these days? So >> So, from our perspective, up to 77 gigabyte actually start. Seven terabytes drives are available on the markets today for Envy Me Now, whether customer by those drives, you know, it depends on economic factor. But yeah, it's something that's in this available from Dell >> so on. I'll act to what David said so far in CM drives 750 gig to 1.5. Articulate a C M drives on Dwell ported often drives that will be available in the power Max Acela's 15 terabyte envy EMI assistants. So this is the capacity we're talking about. And again the Latin's is at the application level, like from the storage like you're going to see, like, less than 300 microsecond. That's the power we are bringing in with this technology to the market. >> Give >> us a >> little look forward we talked about, you know, envy me has been shipping for a bit on the servers now, really rolling out on the storage side, I saw there's a lot of started from the space. You know, one recent acquisition got guts and people talking. What? What should we be looking for from both of you over kind of the next 6 to 12 months. >> So over next to a next 6 to 12 months, he will see a lot of innovation in this case from the storage site where wth e order of magnitude. I mean, the one single Ari, I mean, today it supports, say, like, 10 million I offs less than 500 microsecond latency. Ah, I cannot give you the exact details, but within like, a short time, these numbers are going to go up by more than, like, 50%. Latency is goingto get reduced. The troop would will be driving will actually like more than double s o. You see, like a lot of these innovations and kind of like evolution in terms off the drive capacities both from the CME, drives perspective. Envy me, assess these. Those will continue to expand, leading to foster performance. Better consolidation, Uh, for all the workloads. >> Yeah, from our perspective, I mean, you know, data growth is gonna continue. We all know that, And for us, it's like designing systems based on what the customers need, what the applications needs, right. And that's why we have different types of storage available today. So for us, you know, while we're doing a lot of things from a direct attached storage perspective, customers continue to have a need for share storage. EMI over fabric just provides a better know intense story for us, really from a Power edge and Power Macs perspective. But in the future, you asked what we're going to do. Well, we see the need to probably decouple stories, class memory from the host again. And really, what's preventing us from doing today? It's really having the right fabric in place to be able to deliver to that performance level that applications needs. MM evil fabrics, fibre Channel Ethernet ice, scuzzy or I'm sorry, Infinite Band, whatever. These are some of the things that you know we're looking forward to in the future to make that that lead. All >> right, well, it's really been great to see technology that I know the people that build your products have been excited about for many years. But rolling out into the real world deployment for customers that will transform what they're doing. So for John Troyer, I'm still Minuteman back with lots more coverage here from Be enrolled 2019. Thanks for watching the Cube.

>> Live from San Diego, California It's the queue covering Sisqo Live US 2019 Tio by Cisco and its ecosystem barkers. >> Welcome back. It's the Cube here at Cisco Live, San Diego 2019 times. Two minute My co host is Day Volante. First, I want to welcome back custom dos Katie, who is the vice president. Product management with Cisco Compute. We talked with him a lot about Piper Flex anywhere in Barcelona. Wanna welcome to the program of first time guests Laura Crone, who's the vice president of sales and marketing group in NSG sales and marketing at Intel. Laura, thanks so much for joining us, All right, So since Katie has been our program, let let's start with you. You know, we know, you know. We've watched, you know, Cisco UCS and that compute, you know, since it rolled out for about a decade ago. Now on DH, you know Intel always up on stage with Cisco talking about the latest enhancements everywhere I go this year, people are talking about obtained and how technologies like envy me are baking in tow. The environment storage class memories, you know, coming there. So you know, let's start with kind of intel. What's happening in your world and you know your activities. Francisco live >> great. So I'm glad to hear you've heard a lot about octane because I have some marketing of my organization. So obtain is the first new memory architecture er in over 25 years. And it is different than Nanda, right? It is you, Khun, right? Data to the silicon that is programs faster and has greater endurance. So when you think of obtain its fast like D ram But it's persistent, like nay on three D now. And it has some industry leading combinations of capabilities such a cz high throughput, high endurance, high quality of service and low latent see. And for a storage device, what could be better than having fast performance and hi consistency. Oh, >> Laura's you say? Yeah, but 25 years since this move. You know, I remember when I when I started working with Dave, it was, you know, how do we get out of you know, the horrible, scuzzy stack is what we had lived on for decades there. And finally, Now it feels like we're coming through the clearing and there is just going to be wave after wave of new technologies that air free to get us high performance low latent c on the like. >> Yeah, And I think the other big part of that which is part of Cisco's hyper flex all in Vienna, is the envy me standards. So, you know, we've lived in a world of legacy satya controllers, which created a lot of bottlenecks and the performance Now that the industry is moving toe envy me, that even opens up it. Mohr And so, as we were developing, obtain, we knew we had Teo go move the industry to a new protocol. Otherwise, that pairing was not going to be very successful. >> Alright, so Katie all envy me, tell more. >> So we come here and we talk about all the cool innovations we do within the company. And then sometimes you come here and we talk about all the cool innovation we do with our partners, our technology partner, that intel being a fantastic technology partner, obviously being the server business, you've got a partner with intel on. We've really going away that across the walls ofthe two organizations to bring, uh, just do to life, right? So Cisco 80 I hyper flex is one of the products >> we >> talked about in the past. Hyper Flex, all in Miami that uses Intel's obtain technology is, well, it's Intel's three demand all envy me devices to power really the fastest workloads that customers want to put on this device. So you talked about free envy me. Pricing is getting to a point where it becomes that much more accessible to youth, ese for powering databases for par like those those work clothes required that leyton see characteristics and acquire those I ops on DH. That's what we've enabled with Cisco Hyper Flex collaborating with Intel of Envy Me portfolio. >> Remember when I started in the business, somebody was sharing with me to educate me on the head? A pyramid? Think of the period is a storage hierarchy. And at the top of it, was it actually an Intel solid state device, which back then was not It was volatile, right? So you had to put, you know, backup power supplies on it. Uh, so but any rate and then with all this memory architecture coming and flash towards people have been saying, well, it's going to flatten that pyramid. But now, with obtain. You're seeing the reemergence of that periods of that pyramid. So help us understand, sort of where it fits from a supplier standpoint and a no yam and ultimate customer. Because if I understand it, so obtain is faster than NAND, but it's going to be more expensive, but it's slower than D Ram, but it's cheaper, right? So where does it fit? What, the use cases? Where does it fit in that hierarchy? Maybe. >> Yeah. So if you think about the hierarchy at the very top is D RAM, which is going to be your fastest lowest Leighton see product. But right below that is obtained. Persistent memory, the dims and you get greater density because that's one of the challenges with the Ram is they're not dense enough, nor are they affordable enough, right? And so you get that creates a new tear in the store tire curry. Go below that and you have obtain assist ease, which bring even mohr density. So we go up to a 1.5 terabyte in a obtain sst, uh, and you that now get performance for your storage and memory expansion. Then you have three Dean and and then even below that, you have three thing and Q l c, which gives you cost effective, high density capacity. And then below that is the old fashioned hard disk drive. And then magnet. Yeah, you start inserting all these tears that give architects and both hardware and software an opportunity. Teo rethink how they wantto do storage. >> So the demand for this granularity obviously coming from your your buyers, your direct bars and your customers. So what does it do for you and specifically your customers? >> Yeah. So the name of the game is performance and the ability to have in a land where things are not very predictable, the ability to support any thing that the your end customers may throw at you if you're a 90 department. That may mean a bur internal of, uh, data scientist team are traditional architect off a traditional application. Now, what Intel and Cisco can do together is truly unique because we control all parts of the stack, everything from the sober itself to the to the storage devices to the distributed file system that sits on top ofit. So, for example, in Etienne, hyper flecks were using obtain as a cashing here on because we write the distributed file system. We can speak in a balance between what we put in the cash in care how it moved out data to the non cashing 3 90 year, as as Intel came out with their latest processors that support memory class torched last memory. We support that now we can engineer this whole system and to end so that we can deliver to customers the innovation that Intel is bringing to the table in a way that's consumable by their, uh, one more thing I'll throw out there. So technology is great, but it needs to be resilient because I D departments will occasionally yank out the wrong wire. They are barely yank out the wrong drive. One of the things that we work together with Intel What? How do we court rise into this? How to be with reliability, availability, serviceability? How do we prevent against accidental removal or accidental insertion on DH? Some of those go innovations have let Teo asked, getting out in the market a hyper flecked system that uses these technologies in a way that's really usable by teens in our customs. I'd >> love to double click on that in the context of envy. Envy? What you guys were talking about, You mentioned horrible storage deck. I think he called it the horrible, scuzzy stack. And Laura, you were talking about the You know, the cheap and deep now is a spinning disk. So my understanding is that you've got a lot of overhead in the traditional scuzzy protocol, but nobody ever noticed because you had this mechanical device. Now, with flash storage, it all becomes exposed. And VM e allows just a like a bat phone. Right? Okay, so correct me where I got that wrong, But maybe you could give us the perspective. You know what? Why Envy Emmy is important from your standpoint. And how are you guys using it? >> Yeah, I think envy and me is just a much faster protocol. And you're absolutely right. We have a graph that we show of the old world and how much overhead there is all the way down to when you have obtained in a dim solution with no overhead octane assist. E still has a tiny bit, but there's a graph that shows all of that Leyton C is removed when you deploy, obtain so envy me gives you much greater band with right. The CPU is not bottlenecked, and you get greater CPU efficiency when you have a faster interface like and >> and like hyper flexes taking advantage of this house. Oh, >> yeah? Let me give you a couple of examples. So anything performance, the first thing that comes to mind is databases. So for those kinds of workloads, this system gets about 25% better performance. Next thing that comes to mind is people really don't know what they're gonna put on the system. So sometimes they put databases, sometimes put mixed workloads. So when we look at mixed workloads way get about 65% or so better I ops, we get 37% better lately sees. So even in a mixed I opened Wyman wherever have databases you may have a Web theory may have other things. This thing is definite resilient to handle the workload. So it's it just opens up the splatter abuse cases. >> So any other questions I had was specific to obtain. D ram has consumer applications, as does Flash Anand was obtained. Have similar consumer applications can achieve that volume so that the prices, you can come down, not free, but continue to sort of drive the curves. >> Eso When we look at the overall tam, we see the tam growing out over time. I don't know exactly when it crosses. Over the volume are the bits of the ram, but we absolutely see it growing over time. And as a technology ramps, it'll have a you know, it costs ramping curves. Well, >> it'll follow that curve. Okay, good. >> Yeah, Just Katie. Give us a little bit. Broad view of hyper flex here. Att? The show, people, you know, play any labs with the brand new obtained pieces or what? What other highlights that you and the team have this week? >> Yeah, absolutely. So in in Barcelona, we talked about high, perfect for all that is live today. So in the show floor, people can look at the hyper flex at the edge combined with S t one. How do you control How did deploy thousands of edge locations from a centralized location to the part of the inner side which cloud based management too? So that whole experience is unable. Now, at the other end of the spectrum is how do we drive even more performance. So we were always, always the performance leader. Now we're comparing ourselves to ourselves to behavior 35% better than our previous all flash. With the innovation Intel is bringing to the table, some of the other pieces are actually use cases. So there's a big hospital chain where my kids go toe goto, get treated and look and see the doctor. There are lots of medical use cases which require epic the medical software company to power it, whether it is the end terminals or it is the back and database. So that epic hyperspace and happy cachet those have been out be invalidated on hyper flex, using the technology that we just talked about around update on doll in via me that can get me there is that much more power. That means that when my my doctor and the nurse pulls off, the records don't show up fast. But all the medical records, all of those other high performance seeking applications also run that much more streamlined, so I would encourage people little water solution. We've got a tremendous set off demos out there to go up there and check us out >> and there's a great white paper out on this, right? That e g s >> e g is made one of the a company that I've seen benchmarking Ah, a hyper flex. >> So whatever Elaborate where they do a lab report or >> it's what they do is they bench around different hyper converge infrastructure vendors. So they did this first time around and they and they said, Well, we could pack that much more We EMS on a on a hyper flex with rotating drives. And then they did it again And I said, Well, now that you got all flash Well, deacon, you got now the performance and the ladies see leadership and then they did it again and they said, Well, hang on, you you've kind of left the competition that does that. That's not going to make a pretty chart to show when we compare your all in Miami against your hyper so many. When you get that good, you compare against yourselves. We've been the performance theater on the estate has been doing the >> data obtained. The next generation added up, >> and this is what a database workload. OK, nowyou bringing obtain a little toast to the latest report >> has that measures >> measures obtain against are all flash report and then also ship or measure across vendors. So >> where can I get this? Is at some party or website or >> it's off all of this. All of this is off off the Cisco Hyper Flex website on artist go dot com. But F is the companies that want to go directly to their about getting a more >> I guess final final question for you is you know, I think back the early is ucs. It was the memory enhancements that they had that allowed the dentist virtual ization in the industry back when it started. It sounds like we're just taking that to the next level with this next generation of solutions. What what else would you out about? The relationship with Cisco and Intel? >> Eso, Intel and Cisco worked together for years right innovation around the CPU and the platform, and it's super exciting to be expanding our relationship to storage. And I'm even more excited that the Cisco hyper flex solution is endorsing Intel obtain and three thing and and we're seeing great examples of really use workloads where are in customers can benefit from this technology. >> Katie Laura. Thanks so much for the update. Congratulations on the progress that you've made so far for David Dante on Student, and we'll be back with more coverage here. It's just go live 2019 in San Diego. Thanks for watching the cue >> theme.