>>Hello, wonderful humans and welcome back to The Cube's Thrilling live coverage of AWS Reinvent here in Las Vegas, Nevada. I'm joined by my fantastic co-host, John Farer. John, things are really ramping up in here. Day one. >>Yep, it's packed already. I heard 70,000 maybe attendees really this year. I just saw that on Twitter. Again, it continues to show that over the past 10 years we've been here, you're seeing some of the players that were here from the beginning growing up and getting bigger and stronger, becoming more platforms, not just point solutions. You're seeing new entrants coming in, new startups, and the innovation you start to see happening, it's really compelling to fun to watch. And our next segment, we have multi 10 time Cube alumni coming on and a first timer, so it should be great. We'll get into some of the innovation, >>Not only as this guest went on the cube 10 times, he also spoke at the first AWS reinvent, just like you were covering it here with Cube. But without further ado, please welcome Ronan and Kevin from NetApp. Thank you gentlemen, both for being here and for matching in your dark blue. How's the show going for you? Ronan, I'm gonna ask you first, you've been here since the beginning. How does it feel in 2022? >>First, it's amazing to see so many people, right? So many humans in one place, flesh and blood. And it's also amazing to see, it's such a celebration for people in the cloud, right? Like this is our, this is our event, the people in the cloud. I'm really, really happy to be here and be in the cube as well. >>Fantastic. It, it is a party, it's a cloud party. Yes. How are you feeling being here, Kevin? I'm >>Feeling great. I mean, going all the way back to the early days of Spot T, which was the start that eventually got acquired as Spot by NetApp. I mean this was, this was our big event. This is what we lived for. We've gone, I've gone from everything, one of the smaller booths out here on the floor all the way up to the, the huge booth that we have today. So we've kind of grown along with the AWS ecosystem and it's just a lot of fun to get here, see all the customers and talk to everybody. >>That's a lot of fun. Fun. That's the theme that we've been talking about. And we wrote a story about on, on Silicon Angle, more that growth from that getting in and getting bigger, not just an ISV or part of the startup showcase or ecosystem. The progression of the investment on how cloud has changed deliverables. You've been part of that wave. What's the biggest walk away, what's, and what's the most important thing going on now cuz it's not stopping. You got new interests coming in and the folks are rising with the tide and getting platforms built around their products. >>Yeah, I would say, you know, years ago is, is cloud in my decision path and now it's cloud is in my decision path. How much is it and how am I going to use it? And I think especially coming up over the next year, macroeconomic events and everything going on is how do I make my next dollar in the cloud go further than my last dollar? Because I know I'm gonna be there, I know I'm gonna be growing in the cloud, so how do I effectively use it to run my business going forward? >>All right, take a minute to explain Spot now part of NetApp. What's the story? What take us through for the folks that aren't familiar with the journey, where it's come from, where it's today? >>Sure. So SPOT is all about cloud optimization. We help all of our customers deploy scale and optimize their applications in the cloud. And what we do is everything from VMs to containers to any type of custom application you want to deploy, we analyze those applications, we find the best price point to run them, we right size them, we do the automation so your DevOps team doesn't have to do it. And we basically make the whole cloud serverless for you at the end of the day. So whatever you're doing in the cloud, we'll manage that for you from the lowest level of the stack all the way up to the highest level financials. >>Is this what you call the evolved cloud state? >>It is in the evolve clouds a little bit more, and Ronan can touch on that a little bit too. The Evolve clouds not only the public cloud but also the cloud that you're building OnPrem, right? A lot of big companies, it's not necessarily a hundred percent one way or the other. The Evolve cloud is which cloud am I on? Am I on an OnPrem cloud and a public cloud or am I on multiple public clouds in an OnPrem cloud? And I think Ronan, you probably have an opinion on that too. >>Yeah, and and I think what we are hearing from our customers is that many of them are in a situation where a lot of their data has been built for years on premises. They're accelerating their move to the cloud, some of them are accelerating, they're moving into multiple cloud and that situation of an on-prem that is becoming cloudy and cloudy all the time. And then accelerated cloud adoption. This is what the customers are calling the Evolve cloud and that's what we're trying to support them in that journey. >>How many customers are you supporting in this Evolve cloud? You made it seem like you can just turnkey this for everyone, which I am here >>For it. Yeah, just to be clear, I mean we have thousands of customers, right? Everything from your small startups, people just getting going with a few VMs all the way to people scaling to tens and thousands of VMs in the cloud or even beyond VM services and you know, tens of millions of spend a month. You know, people are putting a lot of investment into the cloud and we have all walks of life under our, you know, customer portfolio. >>You know, multi-cloud has been a big topic in the industry. We call it super cloud. Cause we think super cloud kind of more represents the destination to multi-cloud. I mean everyone has multiple clouds, but they're best of breed defaults. They're not by design in most cases, but we're starting to see traction towards that potential common level services fix to late. See, I still think we're on the performance game now, so I have to ask, ask you guys. Performance has becoming back in VO speeds and feeds back during the data center days. Well, I wouldn't wanna talk speeds and feeds of solutions and then cloud comes in. Now we're at the era of cloud where people are moving their workloads there. There's a lot more automation going on, A lot more, as you said, part of the decision. It is the path. Yeah. So they say, now I wanna run my workloads on the better, faster infrastructure. No developer wants to run their apps on the slower hardware. >>I think that's a tall up for you. Ronan go. >>I mean, I put out my story, no developer ever said, give me the slower software performance and and pay more fast, >>Fastest find too fastest. >>Speed feeds your back, >>Right? And and performance comes in different, in different parameters, right? They think it is come throughput, it comes through latency. And I think even a stronger word today is price performance, right? How much am I paying for the performance that that I need? NetApp is actually offering a very, very big advantage for customers on both the high end performance as well as in the dollar per performance. That is, that is needed. This is actually one of the key differentiator that Fsx for NetApp on top is an AWS storage based on the NetApp on top storage operating system. This is one of the biggest advantages it is offering. It is SAP certified, for example, where latency is the key, is the key item. It is offering new and fastest throughput available, but also leveraging some advanced features like tiering and so on, is offering unique competitive advantage in the dollar for performance specifically. >>And why, why is performance important now, in your opinion? Obviously besides the obvious of no one wants to run their stuff on the slower infrastructure, but why are some people so into it now? >>I think performance as a single parameter is, is definitely a key influencer of the user experience. None, none of us will, will compromise our our experience. The second part is performance is critical when scale is happening, right? And especially with the scale of data performance to handle massive amounts of data is is becoming more and more critical. The last thing that I'll emphasize is again is the dollar for performance. The more data you have, the more you need to handle, the more critical for you is to handle it in a cost effective way. This is kind of, that's kind of in the, in the, in the secret sauce of the success of every workload. >>There isn't a company or person here who's not thinking about doing more faster for cheaper. So you're certainly got your finger on the pulse With that, I wanna talk about a, a customer case study. A little birdie told me that a major US airline recently just had a mass of when we're where according to my notes response time and customer experience was improved by 17 x. Now that's the type of thing that cuts cost big time. Can one of you tell me a little bit more about that? >>Yeah, so I think we all flew here somehow, right? >>Exactly. It's airlines matter. Probably most folks listening, they're >>Doing very well right now. Yes, the >>Airlines and I think we all also needed to deal with changes in the flights with, with really enormous amount of complexity in managing a business like that. We actually rank and choose what, what airline to use among other things based on the level of service that they give us. And especially at the time of crunch, a lot of users are looking through a lot of data to try to optimize, >>Plus all of them who just work this holiday weekend sidebar >>E Exactly right. Can't even, and Thanksgiving is one of these crunch times that are in the middle of this. So 70 x improvement in performance means a loss seven >>Zero or >>17 1 7 1 7 x Right? >>Well, and especially when we're talking about it looks like 50,000, 50,000 messages per minute that this customer was processing. Yes. That that's a lot. That's almost a thousand messages a second. Wow. I think my math tees up there. Yeah. >>It does allow them to operate in the next level of scale and really increase their support for the customer. It also allows them to be more efficient when it comes to cost. Now they need less infrastructure to give better service across the board. The nice thing is that it didn't require them for a lot of work. Sometimes when the customers are doing their journey to the cloud, one of the things that kind of hold them back is like, is either the fear or, or maybe is the, the concern of how much effort will it take me to achieve the same performance or even a better performance in the cloud? They are a live example that not only can you achieve, you can actually exceed the performance that I have on premises and really give customer a better service >>Customer a better service. And reliability is extremely important there. 99.9%. 99% >>99. Yes. >>Yes. That second nine obviously being very important, especially when we're talking about the order of magnitude of, of data and, and actions being taken place. How much of a priority is, is reliability and security for y'all as a team? >>So reliability is a key item for, for everybody, especially in crunch times. But reliability goes beyond the nines. Specifically reliability goes into how simple it is for you to enable backup n dr, how protected are you against ransomware? This is where netup and, and including the fsx for NETUP on top richness of data management makes a huge difference. If you are able to make your copy undeletable, that is actually a game changer when it comes to, to data protection. And this is, this is something that in the past requires a lot of work, opening vaults and other things. Yeah. Now it becomes a very simple configuration that is attached to every net up on top storage, no matter where it is. >>We heard some news at VMware explorer this past fall. Early fall. You guys were there. We saw the Broadcom acquisition. Looks like it's gonna get finalized maybe sooner than later. Lot of, so a lot of speculation around VMware. Someone called the VMware like where is VMware as in where they now, nice pun it was, it was actually Nutanix people, they go at each other all the time. But Broadcom's gonna keep vse and that's where the bread and butter, that's the, that's the goose that lays the Golden eggs. Customers are there. How do you guys see your piece there with VMware cloud on AWS that integrates solution? You guys have a big part of that ecosystem. We've covered it for years. I mean we've been to every VM world now called explorer. You guys have a huge customer base with VMware customers. What's the, what's the outlook? >>Yeah, and, and I think the important part is that a big part of the enterprise workloads are running on VMware and they will continue to run on VMware in, in, in the future. And most of them will try to run in a hybrid mode if not moving completely to the cloud. The cloud give them unparallel scale, it give them DR and backup opportunities. It does a lot of goodness to that. The partnership that NetApp brings with both VMware as well ass as well as other cloud vendors is actually a game changer. Because the minute that you go to the cloud, things like DR and backup have a different economics connected to them. Suddenly you can do compute less dr definitely on backup you can actually achieve massive savings. NetApp is the only data store that is certified to run with VMware cloud. And that actually opens to the customer's huge opportunity for unparalleled data protection as well as real, real savings, hard savings. And customers that look today and they say, I'm gonna shrink my data center, I'm gonna focus on, on moving certain things to the cloud, DR and backup and especially DR and backup VMware might be one of the easiest, fastest things to take into the cloud. And the partnership betweens VMware and NetApp might actually give you >>And the ONAP is great solution. Fsx there? Yes. I think you guys got a real advantage here and I want to get into something that's kind of a gloom and doom. I don't have to go negative on this one, Savannah, but they me nervous John. But you know, if you look at the economic realities you got a lot of companies like that are in the back of a Druva, Netta, Druva, cohesive rub. Others, you know, they, you know, there's a, their generational cloud who breaks through. What's the unique thing? Because you know there's gonna be challenges in the economy and customers are gonna vote with their wallets and they start to see as they make these architectural decisions, you guys are in the middle of it. There's not, there may not be enough to go around and the musical chairs might stop or, or not, I'm not sure. But I feel like if there's gonna be a consolidation, what does that look like? What are customers thinking? Backup recovery, cloud. That's a unique thing. You mentioned economics, it's not, you can't take the old strategy and put it there from five, 10 years ago. What's different now? >>Yeah, I think when it comes to data protection, there is a real change in, in the technology landscape that opened the door for a lot of new vendors to come and offer. Should we expect consolidation? I think microeconomic outside and other things will probably drive some of that to happen. I think there is one more parameter, John, that I wanna mention in this context, which is simplicity. Many of the storage vendors, including us, including aws, you wanna make as much of the backup NDR at basically a simple checkbox that you choose together with your main workload. This is another key capabilities that is, that is being, bringing and changing the market, >>But it also needs to move up. So it's not only simplicity, it's also about moving to the applications that you use, use, and just having it baked in. It's not about you going out and finding a replication. It's like what Ronan said, we gotta make it simple and then we gotta bake it into what they use. So one of our most recent acquisitions of Insta Cluster allows us to provide our customers with open source databases and data streaming services. When those sit on top of on tap and they sit on top of spots, infrastructure optimization, you get all that for free through the database that you use. So you don't worry about it. Your database is replicated, it's highly available, and it's running at the best cost. That's where it's going. >>Awesome. >>You also recently purchased Cloud Checker as well. Yes. Do you just purchase wonderful things all the time? We >>Do. We do. We, >>I'm not >>The, if he walk and act around and then we find the best thing and then we, we break out the checkbook, no, but more seriously, it, it rounds out what customers need for the cloud. So a lot of our customers come from storage, but they need to operate the entire cloud around the storage that they have. Cloud Checker gives us that financial visibility across every single dollar that you spend in the cloud and also gives us a better go to market motion with our MSPs and our distributors than we had in the past. So we're really excited about what cloud checker can unlock for us in >>The future. Makes a lot of sense and congratulations on all the extremely exciting things going on. Our final and closing question for our guests on this year's show is we would love your, your Instagram hot take your 32nd hot take on the most important stories, messages, themes of AWS reinvent 2022. Ronan, I'm gonna start with you cause you have a smirk >>And you do it one day ahead of the keynotes, one day ahead with you. >>You can give us a little tease a little from you. >>I think that pandemic or no pandemic face to face or no face to face, the innovation in the cloud is, is actually breaking all records. And I think this year specifically, you will see a lot of focus on data and scale. I think that's, these are two amazing things that you'll see, I think doubling down. But I'm also anxious to see tomorrow, so I'll learn more about it. >>All right. We might have to chat with you a little bit after tomorrow. Is keynotes and whatnot coming up? What >>About you? I think you're gonna hear a lot about cost. How much are you spending? How far are your dollars going? How are you using the cloud to the best of your abilities? How, how efficient are you being with your dollars in the cloud? I think that's gonna be a huge topic. It's on everybody's mind. It's the macro economics situation right now. I think it's gonna be in every session of the keynote tomorrow. All >>Right, so every >>Session. Every session, >>A bulk thing. John, we're gonna have >>That. >>I'm with him. You know, all S in general, you >>Guys have, and go look up what I said. >>Yeah, >>We'll go back and look at, >>I'm gonna check on you >>On that. The record now states. There you go, Kevin. Thank both. Put it down so much. We hope that it's a stellar show for Spotify, my NetApp. Thank you. And that we have you 10 more times and more than just this once and yeah, I, I can't wait to see, well, I can't wait to hear when your predictions are accurate tomorrow and we get to learn a lot more. >>No, you gotta go to all the sessions down just to check his >>Math on that. Yeah, no, exactly. Now we have to do our homework just to call him out. Not that we're competitive or those types of people at all. John. No. On that note, thank you both for being here with us. John, thank you so much. Thank you all for tuning in from home. We are live from Las Vegas, Nevada here at AWS Reinvent with John Furrier. My name is Savannah Peterson. You're watching the Cube, the leader in high tech coverage.

(upbeat music) >> Hey everyone and welcome back to The Cube. We are covering VMware Explore live in San Francisco. This is our third day of wall to wall coverage. And John Furrier is here with me, Lisa Martin. We are excited to welcome two guests from Kasten by Veeam, please welcome Tom Laden, VP of marketing and Matt LeBlanc, not Joey from friends, Matt LeBlanc, the systems engineer from North America at Kasten by Veeam. Welcome guys, great to have you. >> Thank you. >> Thank you for having us. >> Tom-- >> Great, go ahead. >> Oh, I was going to say, Tom, talk to us about some of the key challenges customers are coming to you with. >> Key challenges that they have at this point is getting up to speed with Kubernetes. So everybody has it on their list. We want to do Kubernetes, but where are they going to start? Back when VMware came on the market, I was switching from Windows to Mac and I needed to run a Windows application on my Mac and someone told me, "Run a VM." Went to the internet, I downloaded it. And in a half hour I was done. That's not how it works with Kubernetes. So that's a bit of a challenge. >> I mean, Kubernetes, Lisa, remember the early days of The Cube Open Stack was kind of transitioning, Cloud was booming and then Kubernetes was the paper that became the thing that pulled everybody together. It's now de facto in my mind. So that's clear, but there's a lot of different versions of it and you hear VMware, they call it the dial tone. Usually, remember, Pat Gelter, it's a dial tone. Turns out that came from Kit Colbert or no, I think AJ kind of coined the term here, but it's since been there, it's been adopted by everyone. There's different versions. It's open source. AWS is involved. How do you guys look at the relationship with Kubernetes here and VMware Explore with Kubernetes and the customers because they have choices. They can go do it on their own. They can add a little bit with Lambda, Serverless. They can do more here. It's not easy. It's not as easy as people think it is. And then this is a skill gaps problem too. We're seeing a lot of these problems out there. What's your take? >> I'll let Matt talk to that. But what I want to say first is this is also the power of the cloud native ecosystem. The days are gone where companies were selecting one enterprise application and they were building their stack with that. Today they're building applications using dozens, if not hundreds of different components from different vendors or open source platforms. And that is really what creates opportunities for those cloud native developers. So maybe you want to... >> Yeah, we're seeing a lot of hybrid solutions out there. So it's not just choosing one vendor, AKS, EKS, or Tanzu. We're seeing all the above. I had a call this morning with a large healthcare provider and they have a hundred clusters and that's spread across AKS, EKS and GKE. So it is covering everything. Plus the need to have a on-prem solution manage it all. >> I got a stat, I got to share that I want to get your reactions and you can laugh or comment, whatever you want to say. Talk to big CSO, CXO, executive, big company, I won't say the name. We got a thousand developers, a hundred of them have heard of Kubernetes, okay. 10 have touched it and used it and one's good at it. And so his point is that there's a lot of Kubernetes need that people are getting aware. So it shows that there's more and more adoption around. You see a lot of managed services out there. So it's clear it's happening and I'm over exaggerating the ratio probably. But the point is the numbers kind of make sense as a thousand developers. You start to see people getting adoption to it. They're aware of the value, but being good at it is what we're hearing is one of those things. Can you guys share your reaction to that? Is that, I mean, it's hyperbole at some level, but it does point to the fact of adoption trends. You got to get good at it, you got to know how to use it. >> It's very accurate, actually. It's what we're seeing in the market. We've been doing some research of our own, and we have some interesting numbers that we're going to be sharing soon. Analysts don't have a whole lot of numbers these days. So where we're trying to run our own surveys to get a grasp of the market. One simple survey or research element that I've done myself is I used Google trends. And in Google trends, if you go back to 2004 and you compare VMware against Kubernetes, you get a very interesting graph. What you're going to see is that VMware, the adoption curve is practically complete and Kubernetes is clearly taking off. And the volume of searches for Kubernetes today is almost as big as VMware. So that's a big sign that this is starting to happen. But in this process, we have to get those companies to have all of their engineers to be up to speed on Kubernetes. And that's one of the community efforts that we're helping with. We built a website called learning.kasten.io We're going to rebrand it soon at CubeCon, so stay tuned, but we're offering hands on labs there for people to actually come learn Kubernetes with us. Because for us, the faster the adoption goes, the better for our business. >> I was just going to ask you about the learning. So there's a big focus here on educating customers to help dial down the complexity and really get them, these numbers up as John was mentioning. >> And we're really breaking it down to the very beginning. So at this point we have almost 10 labs as we call them up and they start really from install a Kubernetes Cluster and people really hands on are going to install a Kubernetes Cluster. They learn to build an application. They learn obviously to back up the application in the safest way. And then there is how to tune storage, how to implement security, and we're really building it up so that people can step by step in a hands on way learn Kubernetes. >> It's interesting, this VMware Explore, their first new name change, but VMWorld prior, big community, a lot of customers, loyal customers, but they're classic and they're foundational in enterprises and let's face it. Some of 'em aren't going to rip out VMware anytime soon because the workloads are running on it. So in Broadcom we'll have some good action to maybe increase prices or whatnot. So we'll see how that goes. But the personas here are definitely going cloud native. They did with Tanzu, was a great thing. Some stuff was coming off, the fruit's coming off the tree now, you're starting to see it. CNCF has been on this for a long, long time, CubeCon's coming up in Detroit. And so that's just always been great, 'cause you had the day zero event and you got all kinds of community activity, tons of developer action. So here they're talking, let's connect to the developer. There the developers are at CubeCon. So the personas are kind of connecting or overlapping. I'd love to get your thoughts, Matt on? >> So from the personnel that we're talking to, there really is a split between the traditional IT ops and a lot of the people that are here today at VMWare Explore, but we're also talking with the SREs and the dev ops folks. What really needs to happen is we need to get a little bit more experience, some more training and we need to get these two groups to really start to coordinate and work together 'cause you're basically moving from that traditional on-prem environment to a lot of these traditional workloads and the only way to get that experience is to get your hands dirty. >> Right. >> So how would you describe the persona specifically here versus say CubeCon? IT ops? >> Very, very different, well-- >> They still go ahead. Explain. >> Well, I mean, from this perspective, this is all about VMware and everything that they have to offer. So we're dealing with a lot of administrators from that regard. On the Kubernetes side, we have site reliability engineers and their goal is exactly as their title describes. They want to architect arch applications that are very resilient and reliable and it is a different way of working. >> I was on a Twitter spaces about SREs and dev ops and there was people saying their title's called dev ops. Like, no, no, you do dev ops, you don't really, you're not the dev ops person-- >> Right, right. >> But they become the dev ops person because you're the developer running operations. So it's been weird how dev ops been co-opted as a position. >> And that is really interesting. One person told me earlier when I started Kasten, we have this new persona. It's the dev ops person. That is the person that we're going after. But then talking to a few other people who were like, "They're not falling from space." It's people who used to do other jobs who now have a more dev ops approach to what they're doing. It's not a new-- >> And then the SRE conversation was in site, reliable engineer comes from Google, from one person managing multiple clusters to how that's evolved into being the dev ops. So it's been interesting and this is really the growth of scale, the 10X developer going to more of the cloud native, which is okay, you got to run ops and make the developer go faster. If you look at the stuff we've been covering on The Cube, the trends have been cloud native developers, which I call dev ops like developers. They want to go faster. They want self-service and they don't want to slow down. They don't want to deal with BS, which is go checking security code, wait for the ops team to do something. So data and security seem to be the new ops. Not so much IT ops 'cause that's now cloud. So how do you guys see that in, because Kubernetes is rationalizing this, certainly on the compute side, not so much on storage yet but it seems to be making things better in that grinding area between dev and these complicated ops areas like security data, where it's constantly changing. What do you think about that? >> Well there are still a lot of specialty folks in that area in regards to security operations. The whole idea is be able to script and automate as much as possible and not have to create a ticket to request a VM to be billed or an operating system or an application deployed. They're really empowered to automatically deploy those applications and keep them up. >> And that was the old dev ops role or person. That was what dev ops was called. So again, that is standard. I think at CubeCon, that is something that's expected. >> Yes. >> You would agree with that. >> Yeah. >> Okay. So now translating VM World, VMware Explore to CubeCon, what do you guys see as happening between now and then? Obviously got re:Invent right at the end in that first week of December coming. So that's going to be two major shows coming in now back to back that're going to be super interesting for this ecosystem. >> Quite frankly, if you compare the persona, maybe you have to step away from comparing the personas, but really compare the conversations that we're having. The conversations that you're having at a CubeCon are really deep dives. We will have people coming into our booth and taking 45 minutes, one hour of the time of the people who are supposed to do 10 minute demos because they're asking more and more questions 'cause they want to know every little detail, how things work. The conversations here are more like, why should I learn Kubernetes? Why should I start using Kubernetes? So it's really early day. Now, I'm not saying that in a bad way. This is really exciting 'cause when you hear CNCF say that 97% of enterprises are using Kubernetes, that's obviously that small part of their world. Those are their members. We now want to see that grow to the entire ecosystem, the larger ecosystem. >> Well, it's actually a great thing, actually. It's not a bad thing, but I will counter that by saying I am hearing the conversation here, you guys'll like this on the Veeam side, the other side of the Veeam, there's deep dives on ransomware and air gap and configuration errors on backup and recovery and it's all about Veeam on the other side. Those are the guys here talking deep dive on, making sure that they don't get screwed up on ransomware, not Kubernete, but they're going to Kub, but they're now leaning into Kubernetes. They're crossing into the new era because that's the apps'll end up writing the code for that. >> So the funny part is all of those concepts, ransomware and recovery, they're all, there are similar concepts in the world of Kubernetes and both on the Veeam side as well as the Kasten side, we are supporting a lot of those air gap solutions and providing a ransomware recovery solution and from a air gap perspective, there are a many use cases where you do need to live. It's not just the government entity, but we have customers that are cruise lines in Europe, for example, and they're disconnected. So they need to live in that disconnected world or military as well. >> Well, let's talk about the adoption of customers. I mean this is the customer side. What's accelerating their, what's the conversation with the customer at base, not just here but in the industry with Kubernetes, how would you guys categorize that? And how does that get accelerated? What's the customer situation? >> A big drive to Kubernetes is really about the automation, self-service and reliability. We're seeing the drive to and reduction of resources, being able to do more with less, right? This is ongoing the way it's always been. But I was talking to a large university in Western Canada and they're a huge Veeam customer worth 7000 VMs and three months ago, they said, "Over the next few years, we plan on moving all those workloads to Kubernetes." And the reason for it is really to reduce their workload, both from administration side, cost perspective as well as on-prem resources as well. So there's a lot of good business reasons to do that in addition to the technical reliability concerns. >> So what is those specific reasons? This is where now you start to see the rubber hit the road on acceleration. >> So I would say scale and flexibility that ecosystem, that opportunity to choose any application from that or any tool from that cloud native ecosystem is a big driver. I wanted to add to the adoption. Another area where I see a lot of interest is everything AI, machine learning. One example is also a customer coming from Veeam. We're seeing a lot of that and that's a great thing. It's an AI company that is doing software for automated driving. They decided that VMs alone were not going to be good enough for all of their workloads. And then for select workloads, the more scalable one where scalability was more of a topic, would move to Kubernetes. I think at this point they have like 20% of their workloads on Kubernetes and they're not planning to do away with VMs. VMs are always going to be there just like mainframes still exist. >> Yeah, oh yeah. They're accelerating actually. >> We're projecting over the next few years that we're going to go to a 50/50 and eventually lean towards more Kubernetes than VMs, but it was going to be a mix. >> Do you have a favorite customer example, Tom, that you think really articulates the value of what Kubernetes can deliver to customers where you guys are really coming in and help to demystify it? >> I would think SuperStereo is a really great example and you know the details about it. >> I love the SuperStereo story. They were a AWS customer and they're running OpenShift version three and they need to move to OpenShift version four. There is no upgrade in place. You have to migrate all your apps. Now SuperStereo is a large French IT firm. They have over 700 developers in their environment and it was by their estimation that this was going to take a few months to get that migration done. We're able to go in there and help them with the automation of that migration and Kasten was able to help them architect that migration and we did it in the course of a weekend with two people. >> A weekend? >> A weekend. >> That's a hackathon. I mean, that's not real come on. >> Compared to thousands of man hours and a few months not to mention since they were able to retire that old OpenShift cluster, the OpenShift three, they were able to stop paying Jeff Bezos for a couple of those months, which is tens of thousands of dollars per month. >> Don't tell anyone, keep that down low. You're going to get shot when you leave this place. No, seriously. This is why I think the multi-cloud hybrid is interesting because these kinds of examples are going to be more than less coming down the road. You're going to see, you're going to hear more of these stories than not hear them because what containerization now Kubernetes doing, what Dockers doing now and the role of containers not being such a land grab is allowing Kubernetes to be more versatile in its approach. So I got to ask you, you can almost apply that concept to agility, to other scenarios like spanning data across clouds. >> Yes, and that is what we're seeing. So the call I had this morning with a large insurance provider, you may have that insurance provider, healthcare provider, they're across three of the major hyperscalers clouds and they do that for reliability. Last year, AWS went down, I think three times in Q4 and to have a plan of being able to recover somewhere else, you can actually plan your, it's DR, it's a planned migration. You can do that in a few hours. >> It's interesting, just the sidebar here for a second. We had a couple chats earlier today. We had the influences on and all the super cloud conversations and trying to get more data to share with the audience across multiple areas. One of them was Amazon and that super, the hyper clouds like Amazon, as your Google and the rest are out there, Oracle, IBM and everyone else. There's almost a consensus that maybe there's time for some peace amongst the cloud vendors. Like, "Hey, you've already won." (Tom laughs) Everyone's won, now let's just like, we know where everyone is. Let's go peace time and everyone, then 'cause the relationship's not going to change between public cloud and the new world. So there's a consensus, like what does peace look like? I mean, first of all, the pie's getting bigger. You're seeing ecosystems forming around all the big new areas and that's good thing. That's the tides rise and the pie's getting bigger, there's bigger market out there now so people can share and share. >> I've never worked for any of these big players. So I would have to agree with you, but peace would not drive innovation. And in my heart is with tech innovation. I love it when vendors come up with new solutions that will make things better for customers and if that means that we're moving from on-prem to cloud and back to on-prem, I'm fine with that. >> What excites me is really having the flexibility of being able to choose any provider you want because you do have open standards, being cloud native in the world of Kubernetes. I've recently discovered that the Canadian federal government had mandated to their financial institutions that, "Yes, you may have started all of your on cloud presence in Azure, you need to have an option to be elsewhere." So it's not like-- >> Well, the sovereign cloud is one of those big initiatives, but also going back to Java, we heard another guest earlier, we were thinking about Java, right once ran anywhere, right? So you can't do that today in a cloud, but now with containers-- >> You can. >> Again, this is, again, this is the point that's happening. Explain. >> So when you have, Kubernetes is a strict standard and all of the applications are written to that. So whether you are deploying MongoDB or Postgres or Cassandra or any of the other cloud native apps, you can deploy them pretty much the same, whether they're in AKS, EKS or on Tanzu and it makes it much easier. The world became just a lot less for proprietary. >> So that's the story that everybody wants to hear. How does that happen in a way that is, doesn't stall the innovation and the developer growth 'cause the developers are driving a lot of change. I mean, for all the talk in the industry, the developers are doing pretty good right now. They've got a lot of open source, plentiful, open source growing like crazy. You got shifting left in the CICD pipeline. You got tools coming out with Kubernetes. Infrastructure has code is almost a 100% reality right now. So there's a lot of good things going on for developers. That's not an issue. The issue is just underneath. >> It's a skillset and that is really one of the biggest challenges I see in our deployments is a lack of experience. And it's not everyone. There are some folks that have been playing around for the last couple of years with it and they do have that experience, but there are many people that are still young at this. >> Okay, let's do, as we wrap up, let's do a lead into CubeCon, it's coming up and obviously re:Invent's right behind it. Lisa, we're going to have a lot of pre CubeCon interviews. We'll interview all the committee chairs, program chairs. We'll get the scoop on that, we do that every year. But while we got you guys here, let's do a little pre-pre-preview of CubeCon. What can we expect? What do you guys think is going to happen this year? What does CubeCon look? You guys our big sponsor of CubeCon. You guys do a great job there. Thanks for doing that. The community really recognizes that. But as Kubernetes comes in now for this year, you're looking at probably the what third year now that I would say Kubernetes has been on the front burner, where do you see it on the hockey stick growth? Have we kicked the curve yet? What's going to be the level of intensity for Kubernetes this year? How's that going to impact CubeCon in a way that people may or may not think it will? >> So I think first of all, CubeCon is going to be back at the level where it was before the pandemic, because the show, as many other shows, has been suffering from, I mean, virtual events are not like the in-person events. CubeCon LA was super exciting for all the vendors last year, but the attendees were not really there yet. Valencia was a huge bump already and I think Detroit, it's a very exciting city I heard. So it's going to be a blast and it's going to be a huge attendance, that's what I'm expecting. Second I can, so this is going to be my third personally, in-person CubeCon, comparing how vendors evolved between the previous two. There's going to be a lot of interesting stories from vendors, a lot of new innovation coming onto the market. And I think the conversations that we're going to be having will yet, again, be much more about live applications and people using Kubernetes in production rather than those at the first in-person CubeCon for me in LA where it was a lot about learning still, we're going to continue to help people learn 'cause it's really important for us but the exciting part about CubeCon is you're talking to people who are using Kubernetes in production and that's really cool. >> And users contributing projects too. >> Also. >> I mean Lyft is a poster child there and you've got a lot more. Of course you got the stealth recruiting going on there, Apple, all the big guys are there. They have a booth and no one's attending you like, "Oh come on." Matt, what's your take on CubeCon? Going in, what do you see? And obviously a lot of dynamic new projects. >> I'm going to see much, much deeper tech conversations. As experience increases, the more you learn, the more you realize you have to learn more. >> And the sharing's going to increase too. >> And the sharing, yeah. So I see a lot of deep conversations. It's no longer the, "Why do I need Kubernetes?" It's more, "How do I architect this for my solution or for my environment?" And yeah, I think there's a lot more depth involved and the size of CubeCon is going to be much larger than we've seen in the past. >> And to finish off what I think from the vendor's point of view, what we're going to see is a lot of applications that will be a lot more enterprise-ready because that is the part that was missing so far. It was a lot about the what's new and enabling Kubernetes. But now that adoption is going up, a lot of features for different components still need to be added to have them enterprise-ready. >> And what can the audience expect from you guys at CubeCon? Any teasers you can give us from a marketing perspective? >> Yes. We have a rebranding sitting ready for learning website. It's going to be bigger and better. So we're not no longer going to call it, learning.kasten.io but I'll be happy to come back with you guys and present a new name at CubeCon. >> All right. >> All right. That sounds like a deal. Guys, thank you so much for joining John and me breaking down all things Kubernetes, talking about customer adoption, the challenges, but also what you're doing to demystify it. We appreciate your insights and your time. >> Thank you so much. >> Thank you very much. >> Our pleasure. >> Thanks Matt. >> For our guests and John Furrier, I'm Lisa Martin. You've been watching The Cube's live coverage of VMware Explore 2022. Thanks for joining us. Stay safe. (gentle music)

(upbeat music) >> Welcome back to San Francisco, "theCUBE" is live, our day two coverage of VMware Explore 2022 continues. Lisa Martin with Dave Nicholson. Dave and I are pleased to welcome Jason Collier, principal member of technical staff at AMD to the program. Jason, it's great to have you. >> Thank you, it's great to be here. >> So what's going on at AMD? I hear you have some juicy stuff to talk about. >> Oh, we've got a ton of juicy stuff to talk about. Clearly the Project Monterey announcement was big for us, so we've got that to talk about. Another thing that I really wanted to talk about was a tool that we created and we call it, it's the VMware Architecture Migration Tool, call it VAMT for short. It's a tool that we created and we worked together with VMware and some of their professional services crew to actually develop this tool. And it is also an open source based tool. And really the primary purpose is to easily enable you to move from one CPU architecture to another CPU architecture, and do that in a cold migration fashion. >> So we're probably not talking about CPUs from Tandy, Radio Shack systems, likely this would be what we might refer to as other X86 systems. >> Other X86 systems is a good way to refer to it. >> So it's interesting timing for the development and the release of a tool like this, because in this sort of X86 universe, there are players who have been delayed in terms of delivering their next gen stuff. My understanding is AMD has been public with the idea that they're on track for by the end of the year, Genoa, next gen architecture. So can you imagine a situation where someone has an existing set of infrastructure and they're like, hey, you know what I want to get on board, the AMD train, is this something they can use from the VMware environment? >> Absolutely, and when you think about- >> Tell us exactly what that would look like, walk us through 100 servers, VMware, 1000 VMs, just to make the math easy. What do you do? How does it work? >> So one, there's several things that the tool can do, we actually went through, the design process was quite extensive on this. And we went through all of the planning phases that you need to go through to do these VM migrations. Now this has to be a cold migration, it's not a live migration. You can't do that between the CPU architectures. But what we do is you create a list of all of the virtual machines that you want to migrate. So we take this CSV file, we import this CSV file, and we ask for things like, okay, what's the name? Where do you want to migrate it to? So from one cluster to another, what do you want to migrate it to? What are the networks that you want to move it to? And then the storage platform. So we can move storage, it could either be shared storage, or we could move say from VSAN to VSAN, however you want to set it up. So it will do those storage migrations as well. And then what happens is it's actually going to go through, it's going to shut down the VM, it's going to take a snapshot, it is going to then basically move the compute and/or storage resources over. And once it does that, it's going to power 'em back up. And it's going to check, we've got some validation tools, where it's going to make sure VM Tools comes back up where everything is copacetic, it didn't blue screen or anything like that. And once it comes back up, then everything's good, it moves onto the next one. Now a couple of things that we've got feature wise, we built into it. You can parallelize these tasks. So you can say, how many of these machines do you want to do at any given time? So it could be, say 10 machines, 50 machines, 100 machines at a time, that you want to go through and do this move. Now, if it did blue screen, it will actually roll it back to that snapshot on the origin cluster. So that there is some protection on that. A couple other things that are actually in there are things like audit tracking. So we do full audit logging on this stuff, we take a snapshot, there's basically kind of an audit trail of what happens. There's also full logging, SYS logging, and then also we'll do email reporting. So you can say, run this and then shoot me a report when this is over. Now, one other cool thing is you can also actually define a change window. So I don't want to do this in the middle of the afternoon on a Tuesday. So I want to do this later at night, over the weekend, you can actually just queue this up, set it, schedule it, it'll run. You can also define how long you want that change window to be. And what it'll do, it'll do as many as it can, then it'll effectively stop, finish up, clean up the tasks and then send you a report on what all was successfully moved. >> Okay, I'm going to go down the rabbit hole a little bit on this, 'cause I think it's important. And if I say something incorrect, you correct me. >> No problem. >> In terms of my technical understanding. >> I got you. >> So you've got a VM, essentially a virtual machine typically will consist of an entire operating system within that virtual machine. So there's a construct that containerizes, if you will, the operating system, what is the difference, where is the difference in the instruction set? Where does it lie? Is it in the OS' interaction with the CPU or is it between the construct that is the sort of wrapper around the VM that is the difference? >> It's really primarily the OS, right? And we've not really had too many issues doing this and most of the time, what is going to happen, that OS is going to boot up, it's going to recognize the architecture that it's on, it's going to see the underlying architecture, and boot up. All the major operating systems that we test worked fine. I mean, typically they're going to work on all the X86 platforms. But there might be instruction sets that are kind of enabled in one architecture that may not be in another architecture. >> And you're looking for that during this process. >> Well usually the OS itself is going to kind of detect that. So if it pops up, the one thing that is kind of a caution that you need to look for. If you've got an application that's explicitly using an instruction set that's on one CPU vendor and not the other CPU vendor. That's the one thing where you're probably going to see some application differences. That said, it'll probably be compatible, but you may not get that instruction set advantage in it. >> But this tool remediates against that. >> Yeah, and what we do, we're actually using VM Tools itself to go through and validate a lot of those components. So we'll look and make sure VM Tools is enabled in the first place, on the source system. And then when it gets to the destination system, we also look at VM Tools to see what is and what is not enabled. >> Okay, I'm going to put you on the spot here. What's the zinger, where doesn't it work? You already said cold, we understand, you can schedule for cold migrations, that's not a zinger. What's the zinger, where doesn't it work? >> It doesn't work like, live migrations just don't work. >> No live, okay, okay, no live. What about something else? What's the oh, you've got that version, you've got that version of X86 architecture, it-won't work, anything? >> A majority of those cases work, where it would fail, where it's going to kick back and say, hey, VM Tools is not installed. So where you would see this is if you're running a virtual appliance from some vendor, like insert vendor here that say, got a firewall, or got something like that, and they don't have VM Tools enabled. It's going to fail it out of the gate, and say, hey, VM Tools is not on this, you might want to manually do it. >> But you can figure out how to fix that? >> You can figure out how to do that. You can also, and there's a flag in there, so in kind of the options that you give it, you say, ignore VM Tools, don't care, move it anyway. So if you've got less, some VMs that are in there, but they're not a priority VM, then it's going to migrate just fine. >> Got It. >> Can you elaborate a little bit on the joint development work that AMD and VMware are doing together and the value in it for customers? >> Yeah, so it's one of those things we worked with VMware to basically produce this open source tool. So we did a lot of the core component and design and we actually engaged VMware Professional Services. And a big shout out to Austin Browder. He helped us a ton in this project specifically. And we basically worked, we created this, kind of co-designed, what it was going to look like. And then jointly worked together on the coding, of pulling this thing together. And then after that, and this is actually posted up on VMware's public repos now in GitHub. So you can go to GitHub, you can go to the VMware samples code, and you can download this thing that we've created. And it's really built to help ease migrations from one architecture to another. So if you're looking for a big data center move and you got a bunch of VMs to move. I mean, even if it's same architecture to same architecture, it's definitely going to ease the pain of going through and doing a migration of, it's one thing when you're doing 10 machines, but when you're doing 10,000 virtual machines, that's a different story. It gets to be quite operationally inefficient. >> I lose track after three. >> Yeah. >> So I'm good for three, not four. >> I was going to ask you what your target market segment is here. Expand on that a little bit and talk to me about who you're working with and those organizations. >> So really this is targeted toward organizations that have large deployments in enterprise, but also I think this is a big play with channel partners as well. So folks out there in the channel that are doing these migrations and they do a lot of these, when you're thinking about the small and mid-size organizations, it's a great fit for that. Especially if they're kind of doing that upgrade, the lift and shift upgrade, from here's where you've been five to seven years on an architecture and you want to move to a new architecture. This is really going to help. And this is not a point and click GUI kind of thing. It's command line driven, it's using PowerShell, we're using PowerCLI to do the majority of this work. And for channel partners, this is an excellent opportunity to put the value and the value add and VAR, And there's a lot of opportunity for, I think, channel partners to really go and take this. And once again, being open source. We expect this to be extensible, we want the community to contribute and put back into this to basically help grow it and make it a more useful tool for doing these cold migrations between CPU architectures. >> Have you seen any in the last couple of years of dynamics, obviously across the world, any industries in particular that are really leading edge for what you guys are doing? >> Yeah, that's really, really interesting. I mean, we've seen it, it's honestly been a very horizontal problem, pretty much across all vertical markets. I mean, we've seen it in financial services, we've seen it in, honestly, pretty much across the board. Manufacturing, financial services, healthcare, we have seen kind of a strong interest in that. And then also we we've actually taken this and presented this to some of our channel partners as well. And there's been a lot of interest in it. I think we presented it to about 30 different channel partners, a couple of weeks back about this. And I got contact from 30 different channel partners that said they're interested in basically helping us work on it. >> Tagging on to Lisa's question, do you have visibility into the AMD thought process around the timing of your next gen release versus others that are competitors in the marketplace? How you might leverage that in terms of programs where partners are going out and saying, hey, perfect time, you need a refresh, perfect time to look at AMD, if you haven't looked at them recently. Do you have any insight into that in what's going on? I know you're focused on this area. But what are your thoughts on, well, what's the buzz? What's the buzz inside AMD on that? >> Well, when you look overall, if you look at the Gartner Hype Cycle, when VMware was being broadly adopted, when VMware was being broadly adopted, I'm going to be blunt, and I'm going to be honest right here, AMD didn't have a horse in the race. And the majority of those VMware deployments we see are not running on AMD. Now that said, there's an extreme interest in the fact that we've got these very cored in systems that are now coming up on, now you're at that five to seven year refresh window of pulling in new hardware. And we have extremely attractive hardware when it comes to running virtualized workloads. The test cluster that I'm running at home, I've got that five to seven year old gear, and I've got some of the, even just the Milan systems that we've got. And I've got three nodes of another architecture going onto AMD. And when I got these three nodes completely maxed to the number of VMs that I can run on 'em, I'm at a quarter of the capacity of what I'm putting on the new stuff. So what you get is, I mean, we worked the numbers, and it's definitely, it's like a 30% decrease in the amount of resources that you need. >> That's a compelling number. >> It's a compelling number. >> 5%, 10%, nobody's going to do anything for that. You talk 30%. >> 30%. It's meaningful, it's meaningful. Now you you're out of Austin, right? >> Yes. >> So first thing I thought of when you talk about running clusters in your home is the cost of electricity, but you're okay. >> I'm okay. >> You don't live here, you don't live here, you don't need to worry about that. >> I'm okay. >> Do you have a favorite customer example that you think really articulates the value of AMD when you're in customer conversations and they go, why AMD and you hit back with this? >> Yeah. Actually it's funny because I had a conversation like that last night, kind of random person I met later on in the evening. We were going through this discussion and they were facing exactly this problem. They had that five to seven year infrastructure. It's funny, because the guy was a gamer too, and he's like, man, I've always been a big AMD fan, I love the CPUs all the way since back in basically the Opterons and Athlons right. He's like, I've always loved the AMD systems, loved the graphics cards. And now with what we're doing with Ryzen and all that stuff. He's always been a big AMD fan. He's like, and I'm going through doing my infrastructure refresh. And I told him, I'm just like, well, hey, talk to your VAR and have 'em plug some AMD SKUs in there from the Dells, HPs and Lenovos. And then we've got this tool to basically help make that migration easier on you. And so once we had that discussion and it was great, then he swung by the booth today and I was able to just go over, hey, this is the tool, this is how you use it, here's all the info. Call me if you need any help. >> Yeah, when we were talking earlier, we learned that you were at Scale. So what are you liking about AMD? How does that relate? >> The funny thing is this is actually the first time in my career that I've actually had a job where I didn't work for myself. I've been doing venture backed startups the last 25 years and we've raised couple hundred million dollars worth of investment over the years. And so one, I figured, here I am going to AMD, a larger corporation. I'm just like, am I going to be able to make it a year? And I have been here longer than a year and I absolutely love it. The culture at AMD is amazing. We still have that really, I mean, almost it's like that underdog mentality within the organization. And the team that I'm working with is a phenomenal team. And it's actually, our EVP and our Corp VP, were actually my executive sponsors, we were at a prior company. They were one of my executive sponsors when I was at Scale. And so my now VP boss calls me up and says, hey, I'm putting a band together, are you interested? And I was kind of enjoying a semi-retirement lifestyle. And then I'm just like, man, because it's you, yes, I am interested. And the group that we're in, the work that we're doing, the way that we're really focusing on forward looking things that are affecting the data center, what's going to be the data center like three to five years from now. It's exciting, and I am having a blast, I'm having the time of my life. I absolutely love it. >> Well, that relationship and the trust that you will have with each other, that bleeds into the customer conversations, the partner conversations, the employee conversations, it's all inextricably linked. >> Yes it is. >> And we want to know, you said three to five years out, like what? Like what? Just general futurist stuff, where do you think this is going. >> Well, it's interesting. >> So moon collides with the earth in 2025, we already know that. >> So we dialed this back to the Pensando acquisition. When you look at the Pensando acquisition and you look at basically where data centers are today, but then you look at where basically the big hyperscalers are. You look at an AWS, you look at their architecture, you specifically wrap Nitro around that, that's a very different architecture than what's being run in the data center. And when you look at what Pensando does, that's a lot of starting to bring what these real clouds out there, what these big hyperscalers are running into the grasps of the data center. And so I think you're going to see a fundamental shift. The next 10 years are going to be exciting because the way you look at a data center now, when you think of what CPUs do, what shared storage, how the networking is all set up, it ain't going to look the same. >> Okay, so the competing vision with that, to play devil's advocate, would be DPUs are kind of expensive. Why don't we just use NICs, give 'em some more bandwidth, and use the cheapest stuff. That's the competing vision. >> That could be. >> Or the alternative vision, and I imagine everything else we've experienced in our careers, they will run in parallel paths, fit for function. >> Well, parallel paths always exist, right? Otherwise, 'cause you know how many times you've heard mainframe's dead, tape's dead, spinning disk is dead. None of 'em dead, right? The reality is you get to a point within an industry where it basically goes from instead of a growth curve like that, it goes to a growth curve of like that, it's pretty flat. So from a revenue growth perspective, I don't think you're going to see the revenue growth there. I think you're going to see the revenue growth in DPUs. And when you actually take, they may be expensive now, but you look at what Monterey's doing and you look at the way that those DPUs are getting integrated in at the OEM level. It's going to be a part of it. You're going to order your VxRail and VSAN style boxes, they're going to come with them. It's going to be an integrated component. Because when you start to offload things off the CPU, you've driven your overall utilization up. When you don't have to process NSX on basically the X86, you've just freed up cores and a considerable amount of them. And you've also moved that to where there's a more intelligent place for that pack to be processed right, out here on this edge. 'Cause you know what, that might not need to go into the host bus at all. So you have just alleviated any transfers over a PCI bus, over the PCI lanes, into DRAM, all of these components, when you're like, but all to come with, oh, that bit needs to be on this other machine. So now it's coming in and it's making that decision there. And then you take and integrate that into things like the Aruba Smart Switch, that's running the Pensando technology. So now you got top of rack that is already making those intelligent routing decisions on where packets really need to go. >> Jason, thank you so much for joining us. I know you guys could keep talking. >> No, I was going to say, you're going to have to come back. You're going to have to come back. >> We've just started to peel the layers of the onion, but we really appreciate you coming by the show, talking about what AMD and VMware are doing, what you're enabling customers to achieve. Sounds like there's a lot of tailwind behind you. That's awesome. >> Yeah. >> Great stuff, thank you. >> It's a great time to be at AMD, I can tell you that. >> Oh, that's good to hear, we like it. Well, thank you again for joining us, we appreciate it. For our guest and Dave Nicholson, I'm Lisa Martin. You're watching "theCUBE Live" from San Francisco, VMware Explore 2022. We'll be back with our next guest in just a minute. (upbeat music)

>>Welcome back everyone to the Cube's live coverage here in San Francisco of VMware Explorer, 2022. I'm John furrier with Dave ante coast of the hub. We're two sets, three days of wall to wall coverage. Our 12 year covering VMware's annual conference day, formerly world. Now VMware Explorer. We're kicking off day tube, no Sharma director of product management at Google cloud GCP. No Thankss for coming on the cube. Good to see you. >>Yeah. Very nice to see you as well. >>It's been a while. Google next cloud. Next is your event. We haven't been there cuz of the pandemic. Now you got an event coming up in October. You wanna give that plug out there in October 11th, UHS gonna be kind of a hybrid show. You guys with GCP, doing great. Getting up, coming up on in, in the rear with third place, Amazon Azure GCP, you guys have really nailed the developer and the AI and the data piece in the cloud. And now with VMware, with multicloud, you guys are in the mix in the universal program that they got here had been, been a partnership. Talk about the Google VMware relationship real quick. >>Yeah, no, I wanna first address, you know, us being in third place. I think when, when customers think about cloud transformation, you know, they, they, for them, it's all about how you can extract value from the data, you know, how you can transform your business with AI. And as far as that's concerned, we are in first place. Now coming to the VMware partnership, what we observed was, you know, you know, first of all, like there's a lot of data gravity built over the past, you know, 20 years in it, you know, and you know, VMware has, you know, really standardized it platforms. And when it comes to the data gravity, what we found was that, you know, customers want to extract the value that, you know, lives in that data as I was just talking about, but they find it hard to change architectures and, you know, bring those architectures into, you know, the cloud native world, you know, with microservices and so forth. >>Especially when, you know, these applications have been built over the last 20 years with off the shelf, you know, commercial off the shelf in, you know, systems you don't even know who wrote the code. You don't know what the IP address configuration is. And it's, you know, if you change anything, it can break your production. But at the same time, they want to take advantage of what the cloud has to offer. You know, the self-service the elasticity, you know, the, the economies of scale efficiencies of operation. So we wanted to, you know, bring CU, you know, bring the cloud to where the customer is with this service. And, you know, with, like I said, you know, VMware was the defacto it platform. So it was a no brainer for us to say, you know what, we'll give VMware in a native manner yeah. For our customers and bring all the benefits of the cloud into it to help them transform and take advantage of the cloud. >>It's interesting. And you called out that the, the advantages of Google cloud, one of the things that we've observed is, you know, VMware trying to be much more cloud native in their messaging and their positioning. They're trying to connect into that developer world for cloud native. I mean, Google, I mean, you guys have been cloud native literally from day one, just as a company. Yeah. Infrastructure wise, I mean, DevOps was an infrastructures code was Google's DNA. I, you had Borg, which became Kubernetes. Everyone kind of knows that in the history, if you, if you're in, in the, inside the ropes. Yeah. So as you guys have that core competency of essentially infrastructures code, which is basically cloud, how are you guys bringing that into the enterprise with the VMware, because that's where the puck is going. Right. That's where the use cases are. Okay. You got data clearly an advantage there, developers, you guys do really well with developers. We see that at say Coon and CNCF. Where's the use cases as the enterprise start to really figure out that this is now happening with hybrid and they gotta be more cloud native. Are they ramping up certain use cases? Can you share and connect the dots between what you guys had as your core competency and where the enterprise use cases are? >>Yeah. Yeah. You know, I think transformation means a lot of things, especially when you get into the cloud, you want to be not only efficient, but you also wanna make sure you're secure, right. And that you can manage and maintain your infrastructure in a way that you can reason about it. When, you know, when things go wrong, we took a very unique approach with Google cloud VMware engine. When we brought it to the cloud to Google cloud, what we did was we, we took like a cloud native approach. You know, it would seem like, you know, we are to say that, okay, VMware is cloud native, but in fact that's what we've done with this service from the ground up. One of the things we wanted to do was make sure we meet all the enterprise needs availability. We are the only service that gives four nines of SLA in a single site. >>We are the only service that has fully redundant networking so that, you know, some of the pets that you run on the VMware platform with your operational databases and the keys to the kingdom, you know, they can be run in a efficient manner and in a, in a, in a stable manner and, and, you know, in a highly available fashion, but we also paid attention to performance. One of our customers Mitel runs a unified communication service. And what they found was, you know, the high performance infrastructure, low latency infrastructure actually helps them deliver, you know, highly reliable, you know, communication experience to their customers. Right. And so, you know, we, you know, while, you know, so we developed the service from the ground up, making sure we meet the needs of these enterprise applications, but also wanted to make sure it's positioned for the future. >>Well, integrated into Google cloud VPC, networking, billing, identities, access control, you know, support all of that with a one stop shop. Right? And so this completely changes the game for, for enterprises on the outset, but what's more like we also have built in integration to cloud operations, you know, a single pane of glass for managing all your cloud infrastructure. You know, you have the ability to easily ELT into BigQuery and, you know, get a data transformation going that way from your operational databases. So, so I think we took a very like clean room ground from the ground of approach to make sure we get the best of both worlds to our customers. So >>Essentially made the VMware stack of first class citizen connecting to all the go Google tool. Did you build a bare metal instance to be able to support >>That? We, we actually have a very customized infrastructure to make sure that, you know, the experience that customers looking for in the VMware context is what we can deliver to them. And, and like I said, you know, being able to manage the pets in, in addition to the cattle that, that we are, we are getting with the modern containerized workloads. >>And, and it's not likely you did that as a one off, I, I would presume that other partners can potentially take advantage of that, that approach as well. Is that >>True? Absolutely. So one of our other examples is, is SAP, you know, our SAP infrastructure runs on very similar kind of, you know, highly redundant infrastructure, some, some parts of it. And, and then, you know, we also have in the same context partners such as NetApp. So, so customers want to, you know, truly, so, so there's two parts to it, right? One is to meet customers where they already are, but also take them to the future. And partner NetApp has delivered a cloud service that is well integrated into the platform, serves use cases like VDI serves use cases for, you know, tier two data protection scenarios, Dr. And also high performance context that customers are looking for, explain >>To people because think a lot of times people understand say, oh, NetApp, but doesn't Google have storage. Yeah. So explain that relationship and why that, that is complimentary. Yeah. And not just some kind of divergence from your strategy. >>Yeah. Yeah. No. So I think the, the idea here is NetApp, the NetApp platform living on-prem, you know, for, for so many years, it's, it's built a lot of capabilities that customers take advantage of. Right. So for example, it has the sta snap mirror capabilities that enable, you know, instant Dr. Of between locations and customers. When they think of the cloud, they are also thinking of heterogeneous context where some of the infrastructure is still needs to live on prem. So, you know, they have the Dr going on from the on-prem side using snap mirror, into Google cloud. And so, you know, it enables that entry point into the cloud. And so we believe, you know, partnering with NetApp kind of enables these high performance, you know, high, you know, reliability and also enables the customers to meet regulatory needs for, you know, the Dr. And data protection that they're looking for. And, >>And NetApp, obviously a big VMware partner as well. So I can take that partnership with VMware and NetApp into the Google cloud. >>Correct. Yeah. Yeah. It's all about leverage. Like I said, you know, meeting customers where they already are and ensuring that we smoothen their journey into the future rather than making it like a single step, you know, quantum leap. So to speak between two words, you know, I think, you know, I like to say like for the, for the longest time the cloud was being presented as a false choice between, you know, the infrastructure as of, of the past and the infrastructure of the future, like the red pill and the blue pill. Right. And, you know, we've, I like to say, like, I've, you know, we've brought, brought into the, into this context, the purple pill. Right. Which gives you really the best of both tools. >>Yeah. And this is a tailwind for you guys now, and I wanna get your thoughts on this and your differentiation around multi-cloud that's around the corner. Yeah. I mean, everyone now recognizes at least multi clouds of reality. People have workloads on AWS, Azure and GCP. That is technically multi-cloud. Yeah. Now the notion of spanning applications across clouds is coming certainly hybrid cloud is a steady state, which essentially DevOps on prem or edge in the cloud. So, so you have, now the recognition that's here, you guys are positioned well for this. How is that evolving and how are you positioning yourself with, and how you're differentiating around as clients start thinking, Hey, you know what, I can start running things on AWS and GCP. Yeah. And OnPrem in a really kind of a distributed way. Yeah. With abstractions and these things that people are talking about super cloud, what we call it. And, and this is really the conversations. Okay. What does that next future around the corner architecture look like? And how do you guys fit in, because this is an opportunity for you guys. It's almost, it's almost, it's like Wayne Gretsky, the puck is coming to you. Yeah. Yeah. It seems that way to me. What, how do you respond to >>That? Yeah, no, I think, you know, Raghu said, yes, I did yesterday. Right. It's all about being cloud smart in this new heterogeneous world. I think Google cloud has always been the most open and the most customer oriented cloud. And the reason I say that is because, you know, looking at like our Kubernetes platform, right. What we've enabled with Kubernetes and Antho is the ability for a customer to run containerized infrastructure in the same consistent manner, no matter what the platform. So while, you know, Kubernetes runs on GKE, you can run using Anthos on the VMware platform and you can run using Anthos on any other cloud on the planet in including AWS Azure. And, and so it's, you know, we, we take a very open, we've taken an open approach with Kubernetes to begin with, but, you know, the, the fact that, you know, with Anthos and this multicloud management experience that we can provide customers, we are, we are letting customers get the full freedom of an advantage of what multicloud has to has to offer. And I like to say, you know, VMware is the ES of ISAs, right. Cause cuz if you think about it, it's the only hypervisor that you can run in the same consistent manner, take the same image and run it on any of the providers. Right. And you can, you know, link it, you know, with the L two extensions and create a fabric that spans the world and, and, and multiple >>Products with, with almost every company using VMware. >>That's pretty much that's right. It's the largest, like the VMware network of, of infrastructure is the largest network on the planet. Right. And so, so it's, it's truly about enabling customer choice. We believe that every cloud, you know, brings its advantages and, you know, at the end of their day, the technology of, you know, capabilities of the provider, the differentiation of the provider need to stand on its merit. And so, you know, we truly embrace this notion of money. Those ops guys >>Have to connect to opportunities to connect to you, you guys in yeah. In, in the cloud. >>Yeah. Absolutely >>Like to ask you a question sort of about database philosophy and maybe, maybe futures a little bit, there seems to be two camps. I mean, you've got multiple databases, you got span for, you know, kind of global distributed database. You've got big query for analytics. There seems to be a trend in the industry for some providers to say, okay, let's, let's converge the transactions and analytics and kind of maybe eliminate the need to do a lot of Elting and others are saying, no, no, we want to be, be, you know, really precise and distinct with our capabilities and, and, and have be spoke set of capability, right. Tool for the right job. Let's call it. What's Google's philosophy in that regard. And, and how do you think about database in the future? >>So, so I think, you know, when it comes to, you know, something as general and as complex as data, right, you know, data lives in all ships and forms, it, it moves at various velocities that moves at various scale. And so, you know, we truly believe that, you know, customers should have the flexibility and freedom to put things together using, you know, these various contexts and, and, you know, build the right set of outcomes for themselves. So, you know, we, we provide cloud SQL, right, where customers can run their own, you know, dedicated infrastructure, fully managed and operated by Google at a high level of SLA compared to any other way of doing it. We have a database born in the cloud, a data warehouse born in the cloud BigQuery, which enables zero ops, you know, zero touch, you know, instant, you know, know high performance analytics at scale, you know, span gives customers high levels of reliability and redundancy in, in, in a worldwide context. So with, with, with extreme levels of innovation coming from, you know, the, the, the NTP, you know, that happen across different instances. Right? So I, you know, I, we, we do think that, you know, data moves a different scale and, and different velocity and, and, you know, customers have a complex set of needs. And, and so our portfolio of database services put together can truly address all ends of the spectrum. >>Yeah. And we've certainly been following you guys at CNCF and the work that Google cloud's doing extremely strong technical people. Yeah. Really open source focused, great products, technology. You guys do a great job. And I, I would imagine, and it's clear that VMware is an opportunity for you guys, given the DNA of their customer base. The installed base is huge. You guys have that nice potential connection where these customers are kind of going where its puck is going. You guys are there now for the next couple minutes, give a, give a plug for Google cloud to the VMware customer base out there. Yeah. Why Google cloud, why now what's in it for them? What's the, what's the value parts? Give the, give the plug for Google cloud to the VMware community. >>Absolutely. So, so I think, you know, especially with VMware engine, what we've built, you know, is truly like a cloud native next generation enterprise platform. Right. And it does three specific things, right? It gives you a cloud optimized experience, right? Like the, the idea being, you know, self-service efficiencies, economies, you know, operational benefits, you get that from the platform and a customer like Mitel was able to take advantage of that. Being able to use the same platform that they were running in their co-located context and migrate more than a thousand VMs in less than 90 days, something that they weren't able to do for, for over two years. The second aspect of our, you know, our transformation journey that we enable with this service is cloud integration. What that means is the same VPC experience that you get in the, the, the networking global networking that Google cloud has to offer. >>The VMware platform is fully integrated into that. And so the benefits of, you know, having a subnet that can live anywhere in the world, you know, having multi VPC, but more importantly, the benefits of having these Google cloud services like BigQuery and span and cloud operations management at your fingertips in the same layer, three domain, you know, just make an IP call and your data is transformed into BigQuery from your operational databases and car four. The retailer in Europe actually was able to do that with our service. And not only that, you know, do do the operational transform into BigQuery, you know, from their, the data gravity living in VMware on, on VMware engine, but they were able to do it in, you know, cost effective, a manner. They, they saved, you know, over 40% compared to the, the current context and also lower the co increase the agility of operations at the same time. >>Right. And so for them, this was extremely transf transformative. And lastly, we believe in the context of being open, we are also a very partner friendly cloud. And so, you know, customers come bring VMware platform because of all the, it, you know, ecosystem that comes along with it, right. You've got your VM or your Zerto or your rubric, or your capacity for data protection and, and backup. You've got security from Forex, tha fortunate, you know, you've got, you know, like we'd already talked about NetApp storage. So we, you know, we are open in that technology context, ISVs, you know, fully supported >>Integrations key. Yeah, >>Yeah, exactly. And, and, you know, that's how you build a platform, right? Yeah. And so, so we enable that, but, but, you know, we also enable customers getting into the future, going into the future, through their AI, through the AI capabilities and services that are once again available at, at their fingertips. >>Soo, thanks for coming on. Really appreciate it. And, you know, as super clouds, we call it, our multi-cloud comes around the corner, you got the edge exploding, you guys do a great job in networking and security, which is well known. What's your view of this super cloud multi-cloud world. What's different about it? Why isn't it just sass on cloud what's, what's this next gen cloud really about it. You had to kind of kind explain that to, to business folks and technical folks out there. Is it, is it something unique? Do you see a, a refactoring? Is it something that does something different? Yeah. What, what doesn't make it just SAS. >>Yeah. Yeah. No, I think that, you know, there's, there's different use cases that customers have have in mind when they, when they think about multi-cloud. I think the first thing is they don't want to have, you know, all eggs in a single basket. Right. And, and so, you know, it, it helps diversify their risk. I mean, and it's a real problem. Like you, you see outages in, you know, in, in availability zones that take out entire businesses. So customers do wanna make sure that they're not, they're, they're able to increase their availability, increase their resiliency through the use of multiple providers, but I think so, so that's like getting the same thing in different contexts, but at the same time, the context is shifting right. There is some, there's some data sources that originate, you know, elsewhere and there, the scale and the velocity of those sources is so vast, you know, you might be producing video from retail stores and, you know, you wanna make sure, you know, this, this security and there's, you know, information awareness built about those sources. >>And so you want to process that data, add the source and take instant decisions with that proximity. And that's why we believe with the GC and, you know, with, with both, both the edge versions and the hosted versions, GDC stands for Google, Google distributed cloud, where we bring the benefit and value of Google cloud to different locations on the edge, as well as on-prem. And so I think, you know, those kinds of contexts become important. And so I think, you know, we, you know, we are not only do we need to be open and pervasive, you know, but we also need to be compatible and, and, and also have the proximity to where information lives and value lives. >>Minish. Thanks for coming on the cube here at VMware Explorer, formerly world. Thanks for your time. Thank >>You so much. Okay. >>This is the cube. I'm John for Dave ante live day two coverage here on Moscone west lobby for VMware Explorer. We'll be right back with more after the short break.

>>Hey everyone. Welcome back to San Francisco. Lisa Martin and Dave Nicholson here. The cube is covering VMware Explorer, 2022 first year with the new name, there's about seven to 10,000 people here. So folks are excited to be back. I was in the keynote this morning. You probably were two David. It was standing room, only lots of excitement, lots of news. We're gonna be unpacking some news. Next. We have Brandon Jackson joining us S DDC architect at CDW and Keith normy is back one of our alumni head of worldwide partner solution sales at NetApp guys. Welcome back to the program. Hey, thank >>You, reunion week. >>So let's talk about what's going on, obviously, lots of news this morning, lots of momentum at VMware, lots of momentum at NetApp CDW. Keith, we'll start with you talk about what was announced yesterday, NetApp, VMware, AWS, and what's in it for customers and partners. >>Yeah, it's a new day. I talked about this in a blog that I wrote that, you know, for me, I started out with VMware and NetApp about 15 years ago when the ecosystem was still kind of emerging back in the ESX three days, for those that remember those days and, and NetApp had a really real dominant position because some of the things that they had delivered with VMware, and we're kind of at that same venture now where everyone needs to have as they talk about today. Multi-cloud, and, and there's been some things that people try to get through as they talk about cloud chaos today. It also is in the, some of the realms, the barriers that you don't often see. So releasing this new FSX capability with the metal data store within VMware cloud, and AWS is a real big opportunity. And it's not just a big opportunity for NetApp. It's a big opportunity for the people that actually deliver this for the customers, which is our partner. So for me, it's full circle. I started with a partner I come back around and I'm now in a great position to kind of work with our partners. And they're the real story here with us. Yeah. >>Brandon, talk about the value in this from CDWs perspective, what is the momentum that your you and the company are excited to carry forward? >>Yeah, this is super exciting. I've been close to the VMware cloud AWS story since its inception. So, you know, almost four years building that practice out at CDW and it's a great solution, but we spent all this time prior driving people to that HCI type of mentality where, Hey, you can just scale the portions that you need and that wasn't available in the cloud. And although it's a great solution, there's pain points there where it just can become cost prohibitive because customers see what they need. But that storage piece is a heavy component. And when that adds to what that cluster size needs to be, that's a real problem with this announcement, right? We can now use those supplemental data stores and be able to shrink that size. So it saves the customer massive amounts of money. I mean, we have like 25, 50% in savings while without sacrificing anything, they're getting the operational efficiency that they know and love from NetApp. They get that control and that experience that they've been using or want to use in VMware cloud. And they're just combining the two in a very cost friendly package. >>So I have one comment and that is finally >>Right. Absolutely. I, >>We used to refer to it as the devil's triangle of CPU, memory and storage. And if those are, if those are inextricably linked to one another, you want a little bit more storage. Okay. Here's your CPU and memory that you can pay for and power and cool that you don't need? No, no, no, no, no, no. I just need, I just need some storage over here. And in the VMware context, think of the affinity that VMware has had with NetApp forever. The irony being that EMC of course, owned VMware for a period of time, kind of owned their stock. Yeah. So you have this thing that is fundamentally built around VMFS that just fits perfectly into the filer methodology. Yeah. And now they're back together in the cloud. And, and the thing is if, if we were, if we were sitting here talking about this 5, 6, 7 years ago, an AWS person would've said we were all crazy. Yeah, yeah. AWS at the time would've said, nah, no, no, no, no. We're gonna figure that out. You, you, you, you guys are just gonna have to go away. It's >>Not lost on me that, you know, it was great seeing and hearing of NetApp in a day, one VMware keynote. >>It's amazing. >>That was great. And so we built off that because the, the, the great thing about kind of where this comes from is, you know, you built that whole HCI or converged infrastructure for simplicity and everyone is simplicity. And so this is just another evolution of the story. And as you do, so, you know, you've, you've freed up for all the workloads, all the scenarios, all the, all the operational situations that you've wanted to kind of get into. Now, if you can save anywhere from 25 to 50% of the costs of previous, you can unleash a whole nother set of workloads and do so by the way, with same consistent operational consistency from NetApp, in terms of the data that you have on-prem to cloud, or even if you don't have NetApp, on-prem, you know, we have the ways to get it to the cloud and VMware cloud and AWS, and, and, and basically give you that data simplicity for management. >>And, but again, it isn't just a NetApp part of this. There is, as everyone knows with cloud, a whole layer of infrastructure around the security networking, there's a ton of work that gets from the partner side to look at applications and workloads and understand sort of what's the composition of those, which ones are ready for the cloud. First, you know, seeing, you know, the AWS person with the SAP title, that's a big workload. Obviously that's making this journey to the cloud, along with all the rest of them. That's what the partners deliver. NetApp has done everything they can do to make that as frictionless as possible in the marketplace as a first party service, and now through VMware cloud. So we've done all we can do on, on that factor. Now it's the partners that could take it. And by the way, the reaction that we've seen kind of in some of, of the private previews are working, has been incredible. These guys bring really the true superhero muscle to what organizations are gonna need to have to take those workloads to VMware cloud and, and evolve it into this new cloud era that they're talking about at the keynote today. >>Yeah, don't get us wrong. We love vSphere eight and vs a, a and VSAN aid in particular, but there's a huge market need for this, for what you guys are delivering. >>Talk to us, Brandon, from your perspective about being able to, to part, to, to have the powerhouses of NetApp, VMware and AWS, and in terms of being able to meet your customers where they are and what they want. >>And I, that's huge, right? That the solution allows these things to come together in a seamless way, right? So we get the, the flexibility of cloud. We get the scalability of easy storage now, in a way we didn't have before, and we get the power that's VMware, right. And in that, in the virtualization platform, and that makes it easy for a customer to say, I need to be somewhere else. And maybe that's not, that's not a colo anymore. That's not a secondary data center. I want to be in the cloud, but I wanna do it on my terms. I wanna do it. So it works for me as a customer. This solution has that, right? And, and we come in as a partner and we look at, we kind of call it the full stack approach, where we really look at the entire, you know, ecosystem that we're talking. >>So from the application all the way down to the infrastructure and even below, and figure out how that's gonna work best for our customers and putting things together with the native cloud services, then with their VMware environment, living on VMware cloud, AWS, leveraging storage with a, you know, with the, the FSX in. So they can easily grow their storage and use all those operational efficiencies and the things that they love about NetApp already. And from a Dr. Use case, we can replicate from a NetApp to NetApp. And it's just, it makes it so easy to have that conversation with the customers and just, it clicks. And like, this is what I need. This is what I've been looking for. And all wrapped up in a really easy package. >>No wonder Dave's comment was finally right. >>Oh, absolutely. I mean, we've been, again, you know, we talked about the HCI, like that made sense. And three or four years ago, maybe even a little bit longer, right. That click, same thing was like, oh my gosh, this is the way infrastructure should work. And we're just having that same Nirvana moment that this is how easy cloud infrastructure can work and that I can have that storage without sacrificing the cost, throw more nodes into my cluster to be able to do so. >>Yeah. I I've just worked with so many customers who struggle to get to where they want to be BEC, and this is something that just feels like a nice worn in pair of shoes or jeans to folks who right now, you know, look, the majority of it spend is still on premises, right? So the typical deployment of VMware today is often VMware with NetApp appliances providing file storage. So this is something that I imagine will help accelerate some of your customers' moves. >>It absolutely will. And in fact, I have three customers off the hand that I know that I've been like, not wanting to say anything like let's talk next week. Right? There's this, there may be something we can talk about when, on, after Explorer waiting for the announcement, because we've been working with NetApp and, and doing some of the private preview stuff. Yeah. And our engineering teams, working with your engineering teams to build this out so that when the announcement came out yesterday, we can go back and say, okay, now let's have that conversation. Now let's talk about what this looks like, >>Where are you having customer conversation? So this is strictly an it conversation has this elevated up the stack, especially as we've seen the massive, I call it cloud migration adoption of the last couple of years. >>I, I I'll speak fairly from the partner level. It is an elevated conversation. So we're not only talking, at least I'm not only talking to it. Administrators, directors, C levels like this is a story that resonates because it's about business value, right? I have an initiative, I have a goal. And that goal is wrapped into that it solution. And typically has some sort of resource or financial cost to it. We want to hear that story. And so it resonates when we can talk about how you can achieve your goals, do it in a way with a specific solution that encompasses everything at a price point that you'll like, and then that can flow down to the directors and the it administrators. And we can start talking about, you know, turning the screws and the knobs. >>Yeah. And for us, it does start with a partner because the reality is that's who the that's, who the customers all engage. And the reality is there's not just one partner type there's many, you know, we, in fact, what the biggest thing that we've been really modernizing is how to address the different partner types. Cuz you obviously have the Accentures of the world that are the big GSIs, the big SI you have folks that are hosting providers, you have Equinox X in the middle of that. You've got partners that just do services that might be only influenced partners that are influencing the, the design. And so if you look up and down between, you know, VMware's partner ecosystem and NetApp's partner ecosystem overlap pretty well, but there's this factor with AWS about, you know, both born and the cloud partners and partners, you know, like CW that have really, you know, taken the step forward to be relevant in that phase going forward. >>And that's, what's exciting to us is to see that kind of come forward. So when something like a FSX end comes forward in this VMware cloud and AWS scenario, they can take and, and just have instant ignition with it. And for us, that's what it's about. Our job is really just to remove friction back what they do and get outta the way, help them win. And last week we were in Chicago at the AWS reinvent thing and seeing AWS with another partner in their whole briefing and how they came to life with the, with this whole anticipation for this week, you know, it's, it's all the partners are very excited for it. So we're just gonna fuel that. And you know, I often wonder we got the, the t-shirt that says, you know, two's company three is a cloud maybe should have been four because it takes the, the partner for the, the completion. >>We appreciate that for sure. >>It does. It sounds like there's tremendous momentum in the market, an appetite across all three companies, four, if you include CDW. So in terms of, of the selling motion, it sounds like you've got folks that are gonna be eating out of eating out of your pocket. Who've been waiting for this for quite a while. Yeah. >>I think you, the analogy used earlier, it's nice when the tires are already on the Ferrari, right. This thing could just go, yes. And we've got people that we're already talking to that this fits, we've got some great go to market strategies. As we start doing partner in sales enablement to make sure that our people behind the scenes are telling the story and the way that we want it to jointly so that all of us can, you know, come together and have that aligned common message to really, you know, make this win and make this pop >>One correction though is technically we sponsor Aston Martin. So it's not a fry. It's an Aston Martin. There >>You go. >>That's right. Quite taken, not a car guy. Can >>You, can you talk a little bit Brendan about the, the routes to market and the, the GTM that you guys are working on together, even at a high level? Yeah. >>At a high level, we've already had some meetings talking about how we can get this message out. The nice thing about this is it's not relegated to a single industry vertical. It's not a single type of customer. We see this across the board and, and certainly with any of our cloud infrastructure solutions, it seems very, even from a regional standpoint and an industry vertical standpoint. So really it's just about how to get our sellers, you know, that get that message to them. So we had meetings here this week. We've been talking to your teams, oh, for probably six weeks now on what's that gonna look like? You know, what type of events are we gonna hold? Do we wanna do some type of road show? Yeah. We've done that with FlexPod very successfully, a few years ago where our teams working with your teams and VMware, we all came out and, and showed this to the world and doing something similar with this to show how easy it is to add supplemental storage to VMC. And just get that out to the masses through events, maybe through sales webinars. I mean, we're still in this world where maybe it's more virtual than on person, but we're starting to shift back, but it's just about telling the message and, and showing, Hey, here's how you do it. Come talk to us. We can help you. And we want to help >>Talk about the messaging from a, a multi-cloud perspective. Here we are at VMware Explorer, the theme, the center of the multi-cloud universe, how is this solution from NetApp's perspective? And then CDWs, how does it an enabler of customers that so many are living in the multi-cloud world by default? >>Yeah. And I think the big subtlety there that, that maybe was MIS missed was the private cloud being just so their cloud. The reality of that is probably a little bit short of, you know, of what people kind of deal with with their on on-prem data centers, just because of some of the applications, data sets they're trying to work through for AI ML and analytics. But that's what the partner's great at is, is helping them kind of leap forward and actually realize the on-prem to become the private cloud and really operate in this multi-cloud scenario and, and get beyond this cloud chaos factor. So again, you know, the beautiful part about all this is that, you know, the, the, the never ending sort of options, the optionality that you have on security, on networking, on applications, data sets, locations, governance, these are all factors that the partner deals with way better than we could even think of. So for us, it's really about just trying to connect with them, get their feedback and actually design in from the partner to take something like this and make it something that works for them >>Back to your shirt. What does it say? Two's company, three's a cloud that's right. But if you want rain, you need a fourth. Yeah. Right. We're here in California. I don't care about clouds. We need it to rain. All >>Right. So >>It's all well and good that yeah. If you know, a couple of you get together and offer something up, but where the rubber meets the road, you know, the customer relationship, the strategic seat at the customer table, there, aren't more of those than there have been in the past. And, and, and ecosystems have obviously gotten more complicated. I can't help thinking back as I think back on the history of, of NetApp and VMware and CDW, there was a time when, when things were bad, you get rid of marketing. And then, and then after that, it was definitely alliances and partnerships cuz who the heck are those people right now? Everything is an ecosystem. Yeah. Everything is an ecosystem. So talk about how CW CDW has changed through its history in terms of where CDW has come from. >>Sure. And you >>Know, not everybody knows that CDW is involved in as sophisticated in area as you are. >>And, and that's true. I mean, sometimes it's tongue in cheek, but you know, we've fulfilled a lot of needs throughout the years and, and maybe at times just a fulfillment or a box pusher, but we're really so much more that, and we've been so much more than that for years. And through some of our acquisitions, you know, Sirius last year I G N w our international arm with Kway when it became CDW, K we have a, you know, a premier experience around consultative services. And that we talk about that full stack, right? Yeah. From the application to the cloud, to the infrastructure, to the security around it, to the networking, we can help out with all of that. And we've got experts and, and, you know, on the presales and postsales that, that's what they live for. It's their passion. And working with partners close in hand, that that's, we've had great relationships with, with NetApp. And again, I've been with CDW for over 12 years. And in all 12 of those years, I've been very close to NetApp in one way, shape or form, and to see how we work together to solve our customers' challenges. It's less about what we want to do. It's more about what we're doing to help the customer. And, and I've seen that day in and day out from our relationship and, you know, kind of our partnership. >>So say we're back here in six months, or maybe we're back here at reinvent, talking with you guys and a customer. What are some of the outcomes that at this stage you were expecting customers to be able to achieve, >>Be able to do more, put more out there, right. To not be limited by the construct of, I only have X amount of space. And so maybe the use case or the initiative is, is wrapped around that. Let's turn that around and say, that's, you're limitless, let's have move what you need. And you're not gonna have to worry so much about the cost, the way you did six months ago or seven months ago, or six months in a day ago that you can do more with it. And if we have an X amount in our bucket in, in July, we could do 200 VMs. You know, and now six months later, we've done 500 VMs because of those efficiency savings because of that cost savings and using supplemental storage. So I, I see that being a growth factor and being say, Hey, this was easy. We always knew this was a solution we liked, but now it's easy and bigger. >>Yeah. I think on our end, the spectrum, I'll just say what Phil Brons would say. I said previously, he was in the previous segment, which is, this could go pretty quick, folks that have wanted to do this now that they know this is something to do and that they can go at it. The part we already know, the partners are very much in like ready to go mode. They've been waiting for this day to just get the announcement out so they can get kind of get going. And it's funny because you know, when we've presented, we've kind of presented some of the tech behind what we're doing and then the ROI T C calculator last, and everyone's feedback is the same. They said you should just lead to the calculator. So then yeah, you can see exactly how much money you save. In fact, one of the jokes is there's not many times you've saved this much money in it before. And so it's, it's a big, wow. Factor, >>Big, wow. Factor, big differentiator, guys. Thank you so much for joining David, me talking about what NetApp, VMware, AWS are doing, how it's being delivered through CDW, the evolution of all these companies. We're excited to watch the solution. We better let you go because you probably have a ton of meeting. People are just chopping at the bit to get this. Yeah. >>It's, it's exciting times. I'm loving it being here and being able to talk about this finally, in a public setting. So this has been great. >>Awesome guys. Thank you again for your time. We appreciate it. Yep. For our guests and Dave Nicholson, I'm Lisa Martin. You're watching the cube live from VMware Explorer, 2022. We'll be back after a short break, stick around.

(digital pulsing music) >> We're back at VeeamON 2022. My name is Dave Vellante. I'm here with my co-host David Nicholson. I've got another mass boy coming on. Patrick Osborne is the vice president of the storage business unit at HPE. Good to see you again, my friend. It's been a long time. >> It's been way too long, thank you very much for having me. >> I can't even remember the last time we saw each other. It might have been in our studios in the East Coast. Well, it's good to be here with you. Lots have been going on, of course, we've been following from afar, but give us the update, what's new with HPE? We've done some stuff on GreenLake, we've covered that pretty extensively and looks like you got some momentum there. >> Quite a bit of momentum, both on the technology front and certainly the customer acquisition front. The message is certainly resonating with our customers. GreenLake is, that's the transformation that's fueling the future of Hewlett Packard Enterprise. So the momentum is great on the technology side. We're at well over 50 services that we're providing on the GreenLake platform. Everything from solutions and workloads to compute, networking and storage. So it's been really fantastic to see the platform and being able to really delight the customers and then the momentum on the sales and the customer acquisition side, the customers are voting with their dollars, so they're very happy with the platform, certainly from an operational perspective and a financial consumption perspective and so our target goal, which we've said a bunch of times is we want to be the hyperscaler on on-prem. We want to provide that customer experience to the folks that are investing in the platform. It's going really well. >> I'll ask you a question, as a former analyst, it could be obnoxious and so forth, so I'll be obnoxious for a minute. I wrote a piece in 2010 called At Your Storage Service, saying the future of storage and infrastructure as a service, blah, blah, blah. Now, of course, you don't want to over-rotate when there's no market, there was no market for GreenLake in 2010. Do you feel like your timing was right on, a little bit late, little bit early? Looking back now, how do you feel about that? >> Well, it's funny you say that. On the timing side, we've seen iterations of this stops and start forever. >> That's true. Financial gimmicks. >> I started my career at Sun Microsystems. We talked about the big freaking Web-tone switch and a lot of the network is the computer. You saw storage networks, you've seen a lot, a ton of iterations in this category, and so, I think the timing's right right now. Obviously, the folks in the hyperscaler class have proved out that this is something that's working. I think for us, the big thing that's really resonating with the customers is they want the operational model and they want the consumption model that they're getting from that as a service experience, but they still are going to run a number of their workloads on-prem and that's the best place to do it for them economically and we've proved that out. So I think the time is here to have that bifurcated experience from operational and financial perspective and in the past, the technology wasn't there and the ability to deliver that for the customers in a manner that was useful wasn't there. So I think the timing's perfect right now to provide them. >> As you know, theCUBE has had a presence at HPE Discover. Previous, even HP Discover and same with Veeam. But we got a long history with HP/HPE. When Hewlett Packard split into two companies, we made the observation, Wow, this opens up a whole new ecosystem opportunity for HPE generally, in storage business specifically, especially in data protection and backup, and the Veeam relationship, the ink wasn't dry and all of a sudden you guys were partnering, throwing joint activities, and so talk about how that relationship has evolved. >> From my perspective, we've always been a big partnering company, both on the route to market side, so our distributors and partners, and we work with them in big channel business. And then on the software partnership side, that's always evolving and growing. We're a very open ecosystem and we like to provide choice for our customers and I think, at the end of the day, we've got a lot of things that we work on jointly, so we have a great value prop. First phase of that relationship was partnering, we've got a full boat of product integrations that we do for customers. The second was a lot of special sauce that we do for our customers for co-integration and co-development. We had a huge session today with Rick Vanover and Frederico on our team here to talk about ransomware. We have big customers suffering from this plague right now and we've done a lot together on the engineering side to provide a very, very well-engineered, well thought out process to help avoid some of these things. And so that wave, too, of how do we do a ton of co-innovation together to really delight our customers and help them run their businesses, and I think the evolution of where we're going now, we have a lot of things that are very similar, strategically, in terms of, we all talk about data services and outcomes for our customers. So at the end of the day, when we think about GreenLake, like our virtual machine backup as a service or disaster recovery, it's all about what workloads are you running, what are the most important ones, where do you need help protecting that data? And essentially, how can we provide that outcome to you and you pay it as an outcome. And so we have a lot of things that we're working on together in that space. >> Let's take a little bit of a closer look at that. First of all, I'm from California, so I'm having a really hard time understanding what either of you were saying. Your accents are so thick. >> We could talk in Boston. >> Your accents are so thick. (Dave laughing) I could barely, but I know I heard you say something about Veaam at one point. Take a closer look at that. What does that look like from a ransomware perspective in terms of this concept of air gaping or immutable, immutable volumes and just as an aside, it seems like Veeam is a perfect partnership for you since customers obviously are going to be in hybrid mode for a long time and Veeam overlays that nicely. But what does it look like specifically? Immutable, air gap, some of the things we've been hearing a lot about. >> I'm exec sponsor for a number of big HPE customers and I'll give you an example. One of our customers, they have their own cloud service for time management and essentially they're exploited and they're not able to provide their service. It has huge ripple effect, if you think about, on inability to do their service and then how that affects their customers and their customers' employees and all that. It's a disaster, no pun intended. And the thing is, we learn from that and we can put together a really good architectures and best practices. So we're talking today about 3-2-1-1, so having three copies of your data, two different types of media, having an offline copy, an offsite copy and an offline copy. And now we're thinking about all the things you need to do to mitigate against all the different ways that people are going to exploit you. We've seen it all. You have keys that are erased, primary storage that is compromised and encrypted, people that come in and delete your backup catalog, they delete your backups, they delete your snapshots. So they get it down to essentially, "I'm either going to have one set of data, it's encrypted, I'm going to make you pay for it," and 40 percent of the time they pay and they get the data back, 60 percent of the time they pay and they get maybe some of the data back. But for the most part, you're not getting your data back. The best thing that we can do for our customers that come with a very prescriptive set of T-shirt configuration sizes, standardization, best practices on how they can take this entire ecosystem together and make it really easy for the customers to implement. But I wouldn't say, it's never bulletproof, but essentially, do as much as you can to avoid having to pay that ransomware. >> So 3-2-1-1, three copies, meaning local. >> Patrick: Yeah. >> So you can do fast recovery if you need to. Two different types of media, so tape fits in here? Not necessarily flashing and spinning disks. Could it be tape? >> A lot of times we have customers that have almost four different types. So they are running their production on flash. We have Alletras with HPE networking and servers running specific workloads, high performance. We have secondary storage on-prem for fast recovery and then we have some form of offsite and offline. Offsite could be object storage in the cloud and then offline would be an actual tape backup. The tape is out of the tape library in a vault so no one can actually access it through the network and so it's a physical copy that's offline. So you always have something to restore. >> Patrick, where's the momentum today, specifically, we're at VeeamON, but with regard to the Veeam partnership, is it security and ransomware, which is a new thing for this world. The last two years, it's really come to the top. Is it cloud migration? Is it data services and data management? Where's the momentum, all of the above, but maybe you could help us parse that. >> What we're seeing here at Hewlett Packard Enterprise, especially through GreenLake, is just an overall focus on data services. So what we're doing is we've got great platforms, we always had. HPE is known as an engineering company. We have fantastic products and solutions that customers love. What we're doing right now is taking, essentially, a lot of the beauty of those products and elevating them into an operational experience in the cloud, so you have a set of platforms that you want to run, you have machine critical platform, business critical, secondary storage, archival, data analytics and I want to be able to manage those from the cloud. So fleet management, HCI management, protocol management, block service, what have you, and then I want a set of abstracted data services that are on top of it and that's essentially things like disaster recovery, backup, data immutability, data vision, understanding what kind of data you have, and so we'll be able to provide those services that are essentially abstracted from the platforms themselves that run across multiple types of platforms. We can charge them on outcome based. They're based on consumption, so you think about something like DR, you have a small set of VMs that you want to protect with a very tight RPO, you can pay for those 100 VMs that are the most important that you have. So for us driving that operational experience and then the cloud data service experience into GreenLake gives customers a really, gives them a cloud experience. >> So have you heard the term super cloud? >> Patrick: Yeah. (chuckles) >> Have you? >> Patrick: Absolutely. >> It's term that we kind of coined, but I want to ask you about it specifically, in terms of how it fits into your strategy. So the idea is, and you kind of just described it, I think, whether your data is on-prem, it's in the cloud, multiple clouds, we'll talk about the edge later, but you're hiding the underlying complexities of the cloud's APIs and primitives, you're taking care of that for your customers, irrespective of physical location. It's the common experience across all those platforms. Is that a reasonable vision, maybe, even from a technical standpoint, is it part of HPE strategy and what does it take to actually do that, 'cause it sounds nice, but it's probably pretty intense? >> So the proof's in the pudding for us. We have a number of platforms that are providing, whether it's compute or networking or storage, running those workloads that they plum up into the cloud, they have an operational experience in the cloud and now they have data services that are running in the cloud for us in GreenLake. So it's a reality. We have a number of platforms that support that. We're going to have a set of big announcements coming up at HPE Discover. So we led with Alletra and we have a block service, we have VM backup as a service and DR On top of that. That's something that we're providing today. GreenLake has over, I think, it's actually over 60 services right now that we're providing in the GreenLake platform itself. Everything from security, single sign on, customer IDs, everything, so it's real. We have the proof point for it. >> So, GreenLake is essentially, I've said it, it's the HPE cloud. Is that a fair statement? >> A hundred percent. >> You're redefining cloud. And one of the hallmarks of cloud is ecosystem. Roughly, and I want to talk more about you got to grow that ecosystem to be successful in cloud, no question about it. And HPE's got the chops to do that. What percent of those services are HPE versus ecosystem partners and how do you see that evolving over time? >> We have a good number of services that are based on HPE, our tried and true intellectual property. >> You got good tech. >> Absolutely, so a number of that. And then we have partners in GreenLake today. We have a pretty big ecosystem and it's evolving, too. So we have customers and partners that are focused, our customers want our focus on data services. We have a number of opportunities and partnerships around data analytics. As you know, that's a really dynamic space. A lot of folks providing support on open source, analytics and that's a fast moving ecosystem, so we want to support that. We've seen a lot of interest in security. Being able to bring in security companies that are focused on data security. Data analytics to understand what's in your data from a customer perspective, how to secure that. So we have a pretty big ecosystem there. Just like our path at HPE, we've always had a really strong partnership with tons of software companies and we're going to continue to do that with GreenLake. >> You guys have been partner-friendly, I'll give you that. I'm going to ask Antonio this at Discover in a couple of weeks, but I want to ask you, when you think about, again, to go back to AWS as the prototypical cloud, you look at a Snowflake and a Redshift. The Redshift guys probably hate Snowflake, but the EC2 guys love them, sell a lot of compute. Now you as a business unit manager, do you ever see the day where you're side by side with one of your competitors? I'm guessing Antonio would say absolutely. Culturally, how does that play inside of HPE? I'm testing your partner-friendliness. How would you- >> Who will you- >> How do you think about that? >> At the end of the day, for us, the opportunity for us is to delight our customers. So we've always talked about customer choice and how to provide that best outcome. I think the big thing for us is that, from a cost perspective, we've seen a lot of customers coming back to HPE repatriation, from a repatriation perspective for a certain class of workloads. From my perspective, we're providing the best infrastructure and the best operational services at the best price at scale for these costumers. >> Really? It definitely, culturally, HPE has to, I think you would agree, it has to open up. You might not, you're going to go compete, based on the merit- >> Absolutely. >> of your product and technology. The repatriation thing is interesting. 'Cause I've always been a repatriation skeptic. Are you actually starting to see that in a meaningful way? Do you think you'll see it in the macro numbers? I mean, cloud doesn't seem to be slowing down, the public cloud growth, I mean, the 35, 40 percent a year. >> We're seeing it in our numbers. We're seeing it in the new logo and existing customer acquisition within GreenLake. So it's real for us. >> And they're telling you? Pure cost? >> Cost. >> So it's that's simple. >> Cost. >> So, they get the cloud bill, you do, too. I'd get the email from my CFO, "Why the cloud bill so high this month?" Part of that is it's consumption-based and it's not predictable. >> And also, too, one of the things that you said around unlocking a lot of the customer's ability from a resourcing perspective, so if we can take care of all the stuff underneath, the under cloud for the customer, the platform, so the stores, the serving, the networking, the automation, the provisioning, the health. As you guys know, we have hundreds of thousands of customers on the Aruba platform. We've got hundreds of thousands of customers calling home through InfoSight. So we can provide a very rich set of analytics, automated environment, automated health checking, and a very good experience that's going to help them move away from managing boxes to doing operational services with GreenLake. >> We talk about repatriation often. There was a time when I think a lot of us would've agreed that no one who was born in the cloud will ever do anything other than grow in the cloud. Are you seeing organizations that were born in the cloud realizing, "Hey, we know what our 80 percent steady state is and we've modeled this. Why rent it when we can own it? Or why rent it here when we can have it as operational cost there?" Are you seeing those? >> We're seeing some of that. We're certainly seeing folks that have a big part of their native or their digital business. It's a cost factor and so I think, one of the other areas, too, that we're seeing is there's a big transformation going on for our partners as well, too, on the sell-through side. So you're starting to see more niche SaaS offerings. You're starting to see more vertically focused offerings from our service provider partners or MSPs. So it's not just in either-or type of situation. You're starting to see now some really, really specific things going on in either verticals, customer segmentation, specific SaaS or data services and for us, it's a really good ecosystem, because we work with our SP partners, our MSP partners, they use our tech, they use our services, they provide services to our joint customers. For example, I know you guys have talked to iland here in the past. It's a great example for us for customers that are looking for DR as a service, backup as a service hosting, so it's a nice triangle for us to be able to please those customers. >> They're coming on to tomorrow. They're on 11/11. I think you're right on. The one, I think, obvious place where this repatriation could happen, it's the Sarah Wong and Martin Casano scenario where a SaaS companies cost a good sold become dominated by cloud costs. And they say, "Okay, well, maybe, I'm not going to build my own data centers. That's probably not going to happen, but I can go to Equinix and do a colo and I'm going to save a ton of dough, managing my own infrastructure with automation or outsourcing it." So Patrick, got to go. I could talk with you forever. Thank you so much for coming back in theCUBE. >> Always a pleasure. >> Go, Celts. How you feeling about the, we always talk sports here in VeeamON. How are you feeling about the Celts today? >> My original call today was Celtics in six, but we'll see what happens. >> Stephen, you like Celtics? Celtics six. >> Stephen: Celtics six. >> Even though tonight, they got a little- >> Stephen: Still believe, you got to believe. >> All right, I believe. >> It'd be better than the Miami's Mickey Mouse run there, in the bubble, a lot of astronauts attached to that. (Dave laughing) >> I love it. You got to believe here on theCUBE. All right, keep it right- >> I don't care. >> Keep it right there. You don't care, 'cause you're not from a sports town. Where are you in California? >> We have no sports. >> All right, keep it right there. This is theCUBE's coverage of VeeamON 2022. Dave Vellante for Dave Nicholson. We'll be right back. (digital music)

>>We'll come back to the cubes coverage of AWS reinvent 2021, the industry's most important hybrid event. Very few hybrid events, of course, in the last two years. And the cube is excited to be here. Uh, this is our ninth year covering AWS reinvent this the 10th reinvent we're here with Joel Minnick, who the vice president of product and partner marketing at smoking hot company, Databricks and Greg Rokita, who is executive director of technology at Edmonds. If you're buying a car or leasing a car, you gotta go to Edmund's. We're gonna talk about busting data silos, guys. Great to see you again. >>Welcome. Welcome. Glad to be here. >>All right. So Joel, what the heck is a lake house? This is all over the place. Everybody's talking about lake house. What is it? >>And it did well in a nutshell, a Lakehouse is the ability to have one unified platform to handle all of your traditional analytics workloads. So your BI and reporting Trisha, the lake, the workloads that you would have for your data warehouse on the same platform as the workloads that you would have for data science and machine learning. And so if you think about kind of the way that, uh, most organizations have built their infrastructure in the cloud today, what we have is generally customers will land all their data in a data lake and a data lake is fantastic because it's low cost, it's open. It's able to handle lots of different kinds of data. Um, but the challenges that data lakes have is that they don't necessarily scale very well. It's very hard to govern data in a data lake house. It's very hard to manage that data in a data lake, sorry, in a, in a data lake. >>And so what happens is that customers then move the data out of a data lake into downstream systems and what they tend to move it into our data warehouses to handle those traditional reporting kinds of workloads that they have. And they do that because data warehouses are really great at being able to have really great scale, have really great performance. The challenge though, is that data warehouses really only work for structured data. And regardless of what kind of data warehouse you adopt, all data warehouse and platforms today are built on some kind of proprietary format. So once you've put that data into the data warehouse, that's, that is kind of what you're locked into. The promise of the data lake house was to say, look, what if we could strip away all of that complexity and having to move data back and forth between all these different systems and keep the data exactly where it is today and where it is today is in the data lake. >>And then being able to apply a transaction layer on top of that. And the Databricks case, we do that through a technology and open source technology called data lake, or sorry, Delta lake. And what Delta lake allows us to do is when you need it, apply that performance, that reliability, that quality, that scale that you would expect out of a data warehouse directly on your data lake. And if I can do that, then what I'm able to do now is operate from one single source of truth that handles all of my analytics workloads, both my traditional analytics workloads and my data science and machine learning workloads, and being able to have all of those workloads on one common platform. It means that now not only do I get much, much more simple in the way that my infrastructure works and therefore able to operate at much lower costs, able to get things to production much, much faster. >>Um, but I'm also able to now to leverage open source in a much bigger way being that lake house is inherently built on an open platform. Okay. So I'm no longer locked into any kind of data format. And finally, probably one of the most, uh, lasting benefits of a lake house is that all the roles that have to take that have to touch my data for my data engineers, to my data analyst, my data scientists, they're all working on the same data, which means that collaboration that has to happen to go answer really hard problems with data. I'm now able to do much, much more easy because those silos that traditionally exist inside of my environment no longer have to be there. And so Lakehouse is that is the promise to have one single source of truth, one unified platform for all of my data. Okay, >>Great. Thank you for that very cogent description of what a lake house is now. Let's I want to hear from the customer to see, okay, this is what he just said. True. So actually, let me ask you this, Greg, because the other problem that you, you didn't mention about the data lake is that with no schema on, right, it gets messy and Databricks, I think, correct me if I'm wrong, has begun to solve that problem, right? Through series of tooling and AI. That's what Delta liked us. It's a man, like it's a managed service. Everybody thought you were going to be like the cloud era of spark and Brittany Britain, a brilliant move to create a managed service. And it's worked great. Now everybody has a managed service, but so can you paint a picture at Edmonds as to what you're doing with, maybe take us through your journey the early days of a dupe, a data lake. Oh, that sounds good. Throw it in there, paint a picture as to how you guys are using data and then tie it into what y'all just said. >>As Joel said, that they'll the, it simplifies the architecture quite a bit. Um, in a modern enterprise, you have to deal with a variety of different data sources, structured semi-structured and unstructured in the form of images and videos. And with Delta lake and built a lake, you can have one system that handles all those data sources. So what that does is that basically removes the issue of multiple systems that you have to administer. It lowers the cost, and it provides consistency. If you have multiple systems that deal with data, you always arise as the issue as to which data has to be loaded into which system. And then you have issues with consistency. Once you have issues with consistency, business users, as analysts will stop trusting your data. So that was very critical for us to unify the system of data handling in the one place. >>Additionally, you have a massive scalability. So, um, I went to the talk with from apple saying that, you know, he can process two years worth of data. Instead of just two days in an Edmonds, we have this use case of backfilling the data. So often we changed the logic and went to new. We need to reprocess massive amounts of data with the lake house. We can reprocess months worth of data in, in a matter of minutes or hours. And additionally at the data lake houses based on open, uh, open standards, like parquet that allowed us, allowed us to basically hope open source and third-party tools on top of the Delta lake house. Um, for example, a Mattson, we use a Matson for data discovery, and finally, uh, the lake house approach allows us for different skillsets of people to work on the same source data. We have analysts, we have, uh, data engineers, we have statisticians and data scientists using their own programming languages, but working on the same core of data sets without worrying about duplicating data and consistency issues between the teams. >>So what, what is, what are the primary use cases where you're using house Lakehouse Delta? >>So, um, we work, uh, we have several use cases, one of them more interesting and important use cases as vehicle pricing, you have used the Edmonds. So, you know, you go to our website and you use it to research vehicles, but it turns out that pricing and knowing whether you're getting a good or bad deal is critical for our, uh, for our business. So with the lake house, we were able to develop a data pipeline that ingests the transactions, curates the transactions, cleans them, and then feeds that curated a curated feed into the machine learning model that is also deployed on the lake house. So you have one system that handles this huge complexity. And, um, as you know, it's very hard to find unicorns that know all those technologies, but because we have flexibility of using Scala, Java, uh, Python and SQL, we have different people working on different parts of that pipeline on the same system and on the same data. So, um, having Lakehouse really enabled us to be very agile and allowed us to deploy new sources easily when we, when they arrived and fine tune the model to decrease the error rates for the price prediction. So that process is ongoing and it's, it's a very agile process that kind of takes advantage of the, of the different skill sets of different people on one system. >>Because you know, you guys democratized by car buying, well, at least the data around car buying because as a consumer now, you know, I know what they're paying and I can go in of course, but they changed their algorithms as well. I mean, the, the dealers got really smart and then they got kickbacks from the manufacturer. So you had to get smarter. So it's, it's, it's a moving target, I guess. >>Great. The pricing is actually very complex. Like I, I don't have time to explain it to you, but knowing, especially in this crazy market inflationary market where used car prices are like 38% higher year over year, and new car prices are like 10% higher and they're changing rapidly. So having very responsive pricing model is, is extremely critical. Uh, you, I don't know if you're familiar with Zillow. I mean, they almost went out of business because they mispriced their, uh, their houses. So, so if you own their stock, you probably under shorthand of it, but, you know, >>No, but it's true because I, my lease came up in the middle of the pandemic and I went to Edmonds, say, what's this car worth? It was worth like $7,000. More than that. Then the buyout costs the residual value. I said, I'm taking it, can't pass up that deal. And so you have to be flexible. You're saying the premises though, that open source technology and Delta lake and lake house enabled that flexible. >>Yes, we are able to ingest new transactions daily recalculate our model within less than an hour and deploy the new model with new pricing, you know, almost real time. So, uh, in this environment, it's very critical that you kind of keep up to date and ingest their latest transactions as they prices change and recalculate your model that predicts the future prices. >>Because the business lines inside of Edmond interact with the data teams, you mentioned data engineers, data scientists, analysts, how do the business people get access to their data? >>Originally, we only had a core team that was using Lakehouse, but because the usage was so powerful and easy, we were able to democratize it across our units. So other teams within software engineering picked it up and then analysts picked it up. And then even business users started using the dashboarding and seeing, you know, how the price has changed over time and seeing other, other metrics within the, >>What did that do for data quality? Because I feel like if I'm a business person, I might have context of the data that an analyst might not have. If they're part of a team that's servicing all these lines of business, did you find that the data quality, the collaboration affected data? >>Th the biggest thing for us was the fact that we don't have multiple systems now. So you don't have to load the data. Whenever you have to load the data from one system to another, there is always a lag. There's always a delay. There is always a problematic job that didn't do the copy correctly. And the quality is uncertain. You don't know which system tells you the truth. Now we just have one layer of data. Whether you do reports, whether you're data processing or whether you do modeling, they all read the same data. And the second thing is that with the dashboarding capabilities, people that were not very technical that before we could only use Tableau and Tableau is not the easiest thing to use as if you're not technical. Now they can use it. So anyone can see how our pricing data looks, whether you're an executive, whether you're an analyst or a casual business users, >>But Hey, so many questions, you guys are gonna have to combat. I'm gonna run out of time, but you now allow a consumer to buy a car directly. Yes. Right? So that's a new service that you launched. I presume that required new data. We give, we >>Give consumers offers. Yes. And, and that offer you >>Offered to buy my league. >>Exactly. And that offer leverages the pricing that we develop on top of the lake house. So the most important thing is accurately giving you a very good offer price, right? So if we give you a price, that's not so good. You're going to go somewhere else. If we give you price, that's too high, we're going to go bankrupt like Zillow debt, right. >>It took to enable that you're working off the same dataset. Yes. You're going to have to spin up a, did you have to inject new data? Was there a new data source that we're working on? >>Once we curate the data sources and once we clean it, we see the directly to the model. And all of those components are running on the lake house, whether you're curating the data, cleaning it or running the model. The nice thing about lake house is that machine learning is the first class citizen. If you use something like snowflake, I'm not going to slam snowflake here, but you >>Have two different use case. You have >>To, you have to load it into a different system later. You have to load it into a different system. So like good luck doing machine learning on snowflake. Right. >>Whereas, whereas Databricks, that's kind of your raison d'etre >>So what are your, your, your data engineer? I feel like I should be a salesman or something. Yeah. I'm not, I'm not saying that. Just, just because, you know, I was told to, like, I'm saying it because of that's our use case, >>Your use case. So question for each of you, what, what business results did you see when you went to kind of pre lake house, post lake house? What are the, any metrics you can share? And then I wonder, Joel, if you could share a sort of broader what you're seeing across your customer base, but Greg, what can you tell us? Well, >>Uh, before their lake house, we had two different systems. We had one for processing, which was still data breaks. And the second one for serving and we iterated over Nateeza or Redshift, but we figured that maintaining two different system and loading data from one to the other was a huge overhead administration security costs. Um, the fact that you had to consistency issues. So the fact that you can have one system, um, with, uh, centralized data, solves all those issues. You have to have one security mechanism, one administrative mechanism, and you don't have to load the data from one system to the other. You don't have to make compromises. >>It's scale is not a problem because of the cloud, >>Because you can spend clusters at will for different use cases. So your clusters are independent. You have processing clusters that are not affecting your serving clusters. So, um, in the past, if you were running a serving, say on Nateeza or Redshift, if you were doing heavy processing, your reports would be affected, but now all those clusters are separated. So >>Consumer data consumer can take that data from the producer independ >>Using its own cluster. Okay. >>Yeah. I'll give you the final word, Joel. I know it's been, I said, you guys got to come back. This is what have you seen broadly? >>Yeah. Well, I mean, I think Greg's point about scale. It's an interesting one. So if you look at cross the entire Databricks platform, the platform is launching 9 million VMs every day. Um, and we're in total processing over nine exabytes a month. So in terms of just how much data the platform is able to flow through it, uh, and still maintain a extremely high performance is, is bar none out there. And then in terms of, if you look at just kind of the macro environment of what's happening out there, you know, I think what's been most exciting to watch or what customers are experiencing traditionally or, uh, on the traditional data warehouse and kinds of workloads, because I think that's where the promise of lake house really comes into its own is saying, yes, I can run these traditional data warehousing workloads that require a high concurrency high scale, high performance directly on my data lake. >>And, uh, I think probably the two most salient data points to raise up there is, uh, just last month, Databricks announced it's set the world record for the, for the, uh, TPC D S 100 terabyte benchmark. So that is a place where Databricks at the lake house architecture, that benchmark is built to measure data warehouse performance and the lake house beat data warehouse and sat their own game in terms of overall performance. And then what's that spends from a price performance standpoint, it's customers on Databricks right now are able to enjoy that level of performance at 12 X better price performance than what cloud data warehouses provide. So not only are we jumping on this extremely high scale and performance, but we're able to do it much, much more efficiently. >>We're gonna need a whole nother section second segment to talk about benchmarking that guys. Thanks so much, really interesting session and thank you and best of luck to both join the show. Thank you for having us. Very welcome. Okay. Keep it right there. Everybody you're watching the cube, the leader in high-tech coverage at AWS reinvent 2021

welcome back to la we are live in los angeles at kubecon cloudnativecon 21 lisa martin and dave nicholson we've been talking to folks all day great to be here in person about 2 700 folks are here the kubernetes the community the cncf community is huge 138 000 folks great to see some of them in person back collaborating once again dave and i are pleased to welcome our next guest we have suresh ragaram co-founder and ceo of platform 9. sarish welcome to the program thank you for having me it's a pleasure to be here give our audience an overview of platform 9 who are you guys what do you do when were you founded all that good stuff so we are about seven years old we were founded with a mission to make it easy to run private hybrid and edge clouds my co-founders and i were early engineers at vmware and what we realized is that it's really easy to go use the public cloud because the public clouds have this innovation which is they have a control plane which serves as a it serves as a foundation for them to launch a lot of services and make that really simple and easy to use but if you need to get that experience in a private cloud or a hybrid cloud or in the edge nobody gives you that cloud control plane you get it from amazon in amazon get it from azure in azure google and google who gives you a sas cloud control plane to run private clouds or edge clouds or hybrid clouds nobody and this is uh this is what we do so this is we make it easy to run these clouds using technologies like kubernetes with our our sas control plane now is it limited to kubernetes because when you you you mentioned your background at vmware uh is this a control plane for what people would think of as private clouds using vmware style abstraction or is this primarily cloud native so when we first started actually docker did not exist like okay so at the time our first product to market was actually an infrastructure service product and at the time we looked at what is what is out there we knew vmware vsphere was out there it's a vmware technology there was apache cloud stack and openstack and we had look the open ecosystem around vms and infrastructure as a service is openstack so we chose open source as the lingua franca for the service endpoint so our control plane we deliver openstack as a service that was our first product when kubernetes when the announcement of communities came out from google we knew at that time we're going to go launch because we'd already been studying lxc and and docker we knew at the time we're going to standardize on kubernetes because we believe that an open ecosystem was forming around that that was a big bet for us you know this this this foundation and this this community is proof that that was a good bet and today that's actually a flap flagship product it's our you know the biggest biggest share of revenue biggest share of install base uh but we do have more than one product we have openstack as a service we have bare metal as a service we have containers as a service with kubernetes i want to ask you some of the the i'm looking at your website here platform9.com some of the three marketing messages i want you to break these down for me simplify day two ops multi-cloud ready on day one and we know so many businesses are multi-cloud and percentage is only going up and faster time to market talk to me about this let's start with simplified day two ops how do you enable that so you know one of the biggest if you talk to anyone who runs like a large vmware environment and you ask them when was the last time you did an upgrade or for that matter somebody who's running like a large-scale kubernetes environment or an openstack environment uh probably in a private cloud deployment awesome when was the last time you did an upgrade how did that go when was the last time you had an outage who did you call how did that go right and you'll hear an outpouring of emotion okay same thing you go ask people when you use kubernetes in the public cloud how do these things work and they'll say it's pretty easy it's not that hard and so the question the idea of platform 9 is why is there such a divide there's this you know we talk about digital divide there is a cloud divide the public clouds have figured out something that the rest of the industry has not and people suffer with private clouds there's a lot of demand for private clouds very few people can make it work because they try to do it with a lot of like handheld tools and you know limited automation skills and scripting what you need is you need the automation that makes sure that ongoing troubleshooting 24x7 alerting upgrades to new versions are all fully managed when amazon doesn't upgrade to a new version people don't have to worry about it they don't have to stay up at night they don't deal with outages you shouldn't have to deal with that in your private cloud so those are the kinds of problems right the troubleshooting the upgrades the the remediation when things go wrong that are taken for granted in the public cloud that we bring to the customers who want to run them in private or hybrid or edge cloud environments how do you help customers and what does future proofing mean like how do you help customers future proof their cloud native journey what does that mean to platform 9 and what does that mean to your customers i'll give you one of my favorite stories is actually one of our early customers is snapfish it's a photo sharing company it's a consumer company right when they got started with us they were coming off of vmware they wanted to run an openstack environment they started nearly four years ago and they started using us with openstack and vms and infrastructure as a service fast forward to today 85 percent of the usage on us is containers and they didn't have to hire openstack experts nor do they have to hire kubernetes experts but their application development teams got went from moving from a somewhat legacy vmware style id environment to a modern self-service developer experience with openstack and then to containers and kubernetes and we're gonna we're gonna work on the next generation of innovation with serverless technologies simplifying you know building modern more elastic applications and so our control plane the beauty of our model is our control plane adds value it added value with openstack it added value with kubernetes it'll add value with what's next around the evolution of serverless technologies right it's evergreen and our customers get the benefit of all of that so when you talk about managing environments that are on premises and in clouds i assume you're talking hyperscale clouds like aws azure gcp um what kind of infrastructure needs to be deployed and when i say infrastructure that's can be software what needs to be deployed in say aws for this to work what does it look like so some 30 of our users use us on in the public cloud and the majority of that actually happens in aws uh because they're the number one cloud and we really give people three choices right so they can choose to use and consume aws the way they want to so we have a small minority of customers that actually provisions bare metal servers in aws that's a small minority because the specific use cases they're trying to do and they try to deploy like kubernetes on bare metal but the bare metal happens to be running on aws okay that's a small minority a larger majority of our users in aws or some hyperscale cloud brings their vpc under management so they come in get started sign up with platform 9 in their platform 9 control plane they go and say i want to plug in this vpc and i want to give you this much authorization to this vpc and in that vpc we essentially can impersonate them and on their behalf provision nodes and provision clusters using our communities open source kubernetes upstream cncf kubernetes but we also have customers that said hey i already have some clusters with eks i really like what the rest of your platform allows me to do and i think it's a better platform for me to use for a variety of reasons can you bring my eks clusters under management and then help me provision new new clusters on top and the answer is you can so you can choose to bring your bare metal you can choose to bring your vpc and just provision like virtual machine and treat them as nodes for communities clusters or you can bring pre-built kubernetes clusters and manage them using our management uh product what are your routes to market so we have three routes to market um we have a completely self-serve completely free forever uh experience where people can just go sign up log in get access to the control plane and be up and running within minutes right they can plug in their server hardware on premises at the edge in the cloud their vpcs and they can be up and running from there they can choose to upgrade upsell into a grow into an uh growth tier or you know choose to request for more support and a higher touch experience and work with our sales team and get into an enterprise tier and our that is our second go to market which is a direct go to market uh companies in the retail space companies tech companies uh companies in fintech companies that are investing in digital transformation a big way have lots of software developers and are adopting these technologies in a big way but want private or hybrid or edge clouds that's the second go to market the third and and in the last two years this is new to us really exciting go to market to us is a partner partner let go to market where partners like rackspace have oem platform line so we have a partnership d partnership with rackspace all of rackspace's customers and they install base essentially including customers who are consuming public cloud services wire rackspace get access to platform 9 and rackspace working together with rackspace's ability to kind of service the whole mile uh and also uh we have a very important partnership with maveneer in the 5g space so 5g we think is a large opportunity and there's a there's a joint product there called maven webscape platform to run 5g networks on our community stack so platform nine why what does that mean harry potter harry potter so it's platform nine and three quarters okay we had this realization my cofounders and i were at vmware for 10 for 10 15 years and we were struggling with this problem of why is the public cloud so easy to use why is it so hard to run a private cloud and even today i think not many people realize uh and that's the analogy to platform nine and three quarters it's like it's right in the middle of king's cross station you go through it and you enter the whole new world of magic that that secret door that platform nine and three quarters is a sas control plane that is a secret sauce that amazon has and azure has and google has and we're bringing that for anybody who wants to use it on any infrastructure of their choice where can customers go to learn more about platform nine so platform nine dot com uh follow us on twitter platform line says or on linkedin you know and if any of our viewers are here at kubecon they can stop by your booth what are some of the things that you're featuring there we are at the booth we have our product managers we have our support engineers we have the people that are actually doing the real work behind the product right there we're talking about our roadmap we're talking about the product demos we're doing like specific show talks on specific deep dives in our product and we're also talking about some some really cool things that are coming up in the garage uh in the in the next six months can you leave us with any teasers about what some of the cool things are that are coming up in the garage yeah one one one thing that is a really big deal is um uh is the ability to manage kubernetes clusters as as as cattle right kubernetes makes node management and app management lets you treat them as cattle instead of pets but kubernetes clusters themselves our customers tell us like even in amazon eks and others these clusters themselves become pets and they become hard to manage so we have a really really interesting capability to manage these as more as you know from infrastructure code with githubs uh as cattle we actually have an announcement that i'm not able to share at this point which is coming out in two weeks uh in the ed space so you'll have to stay tuned for that so folks can go to platformnine.com.com check out that announcement two weeks two weeks from now by the end of october that's right awesome sharers thank you so much for joining us i love the fact that you asked that question because i kept thinking platform nine where do i know that from and i just googled harry potter that's right from nine and five dying because i didn't automatically make the correlation because my son and i are the most unbelievable potterheads ever yeah well so we have that in common that's fantastic awesome thank you for joining us sharing what platform mine is some of the exciting stuff coming out and two weeks learn to hear some great news about the edge absolutely awesome thank you for joining us my pleasure thank you for having me uh our pleasure as well for dave nicholson i'm lisa martin live in los angeles thecube is covering kubecon cloudnativecon21 stick around we'll be right back with our next guest

>>Welcome back to the cubes coverage of H P S. Green Lake announcement. We've been following Green Lake and the cadence of announcements making. Now we're gonna talk about ransomware, ransomware become a household term. But what people really don't understand is that virtually any bad actor can become a ransomware criminal by going on the dark web hiring a ransomware as a service sticking, putting a stick into a server and taking a piece of the action and that is a really insidious threat. Uh, the adversaries are extremely capable, so we're going to dig into that with Omar assad, who's the storage platform, lead cloud data services at H P E and Deepak verma vice president of product Zito, which is now an H P E company Gentlemen, welcome to the cube. Good to see you. Thank you. >>Thank you. Welcome. Pleasure to be here. So >>over you heard my little narrative upfront. How does the Xarelto acquisition fit into that discourse? >>Thank you. Dave first of all, we're extremely excited to welcome Sir toe into the HP family. Uh, the acquisition of Puerto expands the Green Lake offerings from H P E uh, into the data protection as a service and ransomware protection as a service capabilities and it at the same time accelerates the transformation that the HP storage businesses going through as it transforms itself into more of a cloud native business, which sort of follows on from the May 4th announcements that you helped us cover. Uh, this enables the HP sales teams to now expand the data protection perimeter and to start offering data protection as a service and ransomware as a service with the best in class technologies uh, from a protection site as well as from ransomware recovery side of the house. And so we're all the way down already trying to integrate uh, you know, the little offerings as part of the Green lake offerings and extending support through our services organization. And the more of these announcements are gonna roll out later in the month. >>And I think that's what you want to see from it as a service offering. You want to see a fast cadence of new services that are not a box by a box that are applying. No, it's services that you want to access. So let's, let's talk about before we get into the tech, can we talk about how you're helping customers deal with ransomware? Maybe some of the use cases that you're seeing. >>First of all, extremely excited to be part of the HP family now. Um, Quick history and that we've been around for about 11 years. We've had about 9000 plus customers and they all benefit from essentially the same technology that we invented 11 years ago. First and foremost, one of the use cases has been continuous data protection. So were built on the CdP platform, which means extremely low RTO S and R P O S for recovery. I'll give you example there um, United Airlines is an application that cost them $1 million dollars for every hour that they're down. They use traditional approaches. That would be a lot of loss with Zito, we have that down two seconds of loss in case and the application goes down. So that's kind of core and fundamental to our plaque. The second uh critical use case that for us has been simplicity. A lot of customers have said we make the difficult, simple. So DRS is a complex uh process. Um, give you an example there. Hcea Healthcare Consolidated four different disaster recovery platforms into a single platform in Puerto and saved about $10 million dollars a year. So it's making that operations of having disaster recovery process is much simpler. Um the third kind of critical use case for us as uh, the environment has evolved as the landscape has involved has been around hybrid cloud. So being able to take customers to the platforms that they want to go to that's critical for us And for our customers an example, there is Kingston technology's so Kingston tried some competitive products to move to Azure, it would take them about 24 hours to recover 30 VMS or so with zero technology. They will get about all their 1000 VMS up in Azure instantaneously. So these are three use cases that were foundational. Built. Built the company in the tech. >>Nice. Thank you. Thank you for that. So simple works well these days, especially with all this complexity we have to deal with. Can we get into the secret sauce a little bit. I mean CdP has been around forever. What do you guys do that? That's different. Maybe you can talk about that. Sure. >>Um it's cdp based, I think we've perfected the technology. It's less about being able to just copy the data. It's more about what you do when things go bump. We've made it simpler with driven economies of scale lower and being platform agnostic. We've really brought that up across to whatever platforms once upon a time it was moving from physical to virtual or even across different virtualization platforms and then being able to move across to whatever cloud platform customer may want or or back >>to cbP continuous data protection by the way for the audience that may not know that go ahead. And >>one of the additional points that I want to add to the box comment over here is the the basics of platform independence is what really drew uh hp technologists into the technology because you know, one of the things we have many, we have the high end platform with the H B electra nine Kv of the electro six kids the midrange platform. Then we have a bunch of file and object offerings on the side. What zero does it University universally applies to all those technologies and along with, you know, as you pair them up with our computer offerings to offer a full stack but now the stack is disaster recovery capable. Natively with the integration of certo, you know, one of the things that, you know, Deepak talked about about the as your migrations that a lot of the customers are talking about cloud is also coming up as a D our use case for a lot of our customers, customers, you know, you know, as we went through thousands of customers interviews one of the, one of the key things that came back was investing in a D our data center which is just waiting there for a disaster to happen. It's a very expensive insurance policy. So absurd. Oh, through its native capabilities allows customers to do is to just use public cloud as a D our target and and as a service, it just takes care of all the format conversions and recoveries and although that's completely automated inside the platform and and we feel that, you know, when you combine this either at the high end of data center storage offering or the middle age offering with this replication, D. R. And ransomware protection built into the same package, working under the same hood, it just simplifies and streamlines the customers deployment. >>Come here a couple of things. So first of all historically, if you wanted to recover to appoint within let's say, you know, 10 seconds, five seconds you have to pay up. Big time. Number one. Number two is you couldn't test your D. R. It was too risky. So people just had it in, they had a checkbox on compliance but they actually couldn't really test it because they were afraid they were going to lose data. So it sounds like you're solving both of those problems or >>or you know we remember the D. R. Test where it was a weekend. It was an event right? It was the event and at the end of july that the entire I. T. Organizing honey >>it's not gonna be home this weekend. Exactly what >>we've changed. That is a click of a button. You can D. R. Test today if you want to you can have disaster recovery still running. You can D. R. Test in Azure bring up your environment an isolated network bubble, make sure everything's running and bring it and bring it down. The interesting thing is the technology was invented back when our fear in the industry was losing a data center was losing power was catastrophic, natural disasters. But the technology has lent itself very well to the new threats which which are very much around ransomware as you mentioned because it's a type of disaster. Somebody's going after your data. Physical servers are still around but you still need to go back to a point in time and you need to do that very quickly. So the technology has really just found itself uh appealing to new challenges. >>If a customer asks you can I really eliminate cyber attacks, where should I put my my if I had 100 bucks to spend. Should I spend it on you know layers and defense should I spend it on recovery. Both, what would you tell them? >>I think it's a balanced answer. I think prevention is 100% impossible. Uh It's really I'd say spend it in in thirds. You want to spend a third of it and and prevention a third of it maybe in detection and then a third of it in uh recovery. So it's really that balancing act that means you can't leave the front door open but then have a lot of recovery techniques invested in. It has to be it has to be a balance and it's also not a matter of if it's a matter of when so we invest in all three areas. Hopefully two of them will work to your advantage. >>You dave you you should always protect your perimeter. I mean that that goes without saying but then as you invest in other aspects of the business, as Deepak mentioned, recovery needs to be fast and quick recovery whether from your recovering from a backup disaster. Are you covering from a data center disaster a corrupted file or from a ransomware attack. A couple of things that zero really stitches together like journal based recovery has been allowed for a while but making journal based recovery platform independent in a seamless fashion with the click of a button within five seconds go back to where your situation was. That gives you the peace of mind that even if the perimeter was breached, you're still protected, you know, five minutes into the problem And, and that's the peace of mind, which along with data protection as a service, disaster recovery as a service and now integrating this, you know, recovery from ransomware along with it in a very simple, easy to consume package is what drew us into the >>more you can do this you said on the use the cloud as a target. I could use the cloud as an air gap if I wanted to. It sounds like it's cloud Native, correct? Just wrap your stack in kubernetes and shove it in the cloud and have a host and say we're cloud to No, really I'm serious. So >>absolutely, we we looked at that approach and that that's where the challenge comes in, Right? So I give you the example of Kingston technology just doesn't scale, it's not fast enough. What we did was developed a platform for cloud Native. We consume cloud services where necessary in order to provide that scalability. So one example in Azure is being able to use scale set. So think about a scenario where you just declare a disaster, you've got 1000 VMS to move over, we can spin up the workers that need to do the work to get 1000 VMS spin them down. So you're up and running instantaneously and that involves using cloud Native uh tools and technologies, >>can we stay on that for a minute, So take take us through an example of what life was like would be like without zero trying to recover and what it's like with Puerto resources, complexity time maybe you could sort of paint a picture. Sure. >>Let me, I'll actually use an example from a customer 10 Kata. They uh develop defensive fabrics, especially fabric. So think about firefighters, think about our men and women abroad that need protective clothing that developed the fibers behave. They were hit by ransomware by crypto locker. That this was before zero. Unfortunately it took they took about a two week uh data loss. It took them weeks to recover that environment, bring it back up and the confidence was pretty low. They invested in, they looked at our technology, they invested in the technology and then they were hit with a different variant of crypto locker immediately. The the IT administrators and the ITS folks there were relieved right, they had a sense of confidence to say yes we can recover. And the second time around they had data loss of about 10 seconds, they could recover within a few minutes. So that's the before and after picture giving customers that confidence to say yep, a breach happened, we tried our best but now it's up to recovery and I can recover without having to dig tapes out from some vault and hopefully have a good copy of data sitting there and then try that over and over again and there's a tolerance right before a time before which business will not be able to sustain itself. So what we want to do is minimize that for businesses so that they can recover as quickly as possible with as little data loss as possible. >>Thank you for that. So, Omar, there's a bigger sort of cyber recovery agenda that you have as part of, of green lake, I'm sure. What, what should we expect, what's next? Where do you want to take this? >>So uh excellent question point in the future day. So one of the things that you helped us, uh you know, unveil uh in May was the data services. Cloud console. Data services. Cloud console was the first uh sort of delivery as we took the storage business as it is and start to transform into more of a cloud native business. We introduced electra uh which is the cloud native hardware with the customers buy for persistent storage within their data center. But then data services, cloud console truly cemented that cloud operational model. Uh We separated the management from, from the devices itself and sort of lifted it up as a sas service into the public, public cloud. So now what you're gonna see is, you know, more and more data and data management services come up on the data services. Cloud console and and zero is going to be one of the first ones. Cloud physics was another one that we we talked about, but zero is the is the true data management service that is going to come up on data services, cloud console as part of the Green Lake services agenda that that HP has in the customer's environ and then you're gonna see compliance as a service. You're going to see data protection as a service. You're gonna see disaster recovery as a service. But the beautiful thing about it is, is choice with simplicity as these services get loaded up on data services, clown console. All our customers instantly get it. There's nothing to install, there's nothing to troubleshoot uh, there's nothing to size. All those capabilities are available on the console, customers go in and just start consuming Xarelto capabilities from a management control plane, Disaster recovery control plan are going to be available on the data services, cloud console, automatically detecting electro systems, rian Bear systems, container based systems, whichever our customers have deployed and from there is just a flip of a button. Another way to look at it is it sort of gives you that slider that you have data protection or back up on one side, you've got disaster recovery on one side, you've got ransomware protection on on the extreme right side, you can just move a slider across and choose the service level that you want without worrying about best practices, installation, application integration. All of that just takes control from the data services, cloud concepts. >>Great, great summary because historically you would have to build that right now. You can buy it as a service. You can programmatically, you know, deploy it and that's a game changer. Have to throw it over the fence to some folks. That's okay. Now, you know, make it make it work and then they change the code and you come back a lot of finger pointing. It's now it's your responsibility. >>Absolutely. Absolutely. We're excited to provide Zito continue provides the desert of customers but also integrate with the Green Green Lake platform and let the rest of Green Lake customers experience some of the sort of technology and really make that available as a service. >>That's great. This is a huge challenge for customers. I mean they do, I pay their ransom. Do not pay the ransom. If I pay the ransom the FBI is going to come after me. But if I don't pay the ransom, I'm not gonna get the crypto key. So solutions like this are critical. You certainly see the president pushing for that. The United States government said, hey, we got to do a better job. Good job guys, Thanks for for sharing your story in the cube and congratulations. Thank >>you. Thank you David. >>All right. And thank you for watching everybody. Uh this is the, I want to tell you that everything that you're seeing today as part of the Green Lake announcement is going to be available on demand as part of the HP discover more. So you got to check that out. Thank you. You're watching the cube. >>Mhm mm.

>> From "theCUBE" studios in Palo Alto in Boston, bringing you data-driven insights from "theCUBE" in ETR. This is breaking analysis with Dave Vellante. >> Chief Information Security Officer's site trust, is the number one value attribute, they can deliver to their organizations. And when it comes to security, identity is the new attack surface. As such identity and access management, continue to be the top priority among technology decision makers. It also happens to be one of the most challenging and complicated areas of the cybersecurity landscape. Okta, a leader in the identity space has announced its intent to converge privileged access and Identity Governance in an effort to simplify the landscape and re-imagine identity. Our research shows that interest in this type of consolidation is very high, but organizations believe technical debt, compatibility issues, expense and lack of talent are barriers to reaching cyber nirvana, with their evolving Zero-Trust networks. Hello and welcome to this week's Wikibon CUBE insights, powered by ETR. In this breaking analysis, we'll explore the complex and evolving world of identity access and privileged account management, with an assessment of Okta's market expansion aspirations and fresh data from ETR, and input from my colleague Eric Bradley. Let's start by exploring identity and why it's fundamental to digital transformations. Look the pandemic accelerated digital and digital raises the stakes in cybersecurity. We've covered this extensively, but today we're going to drill into identity, which is one of the hardest nuts to crack in security. If hackers can steal someone's identity, they can penetrate networks. If that someone has privileged access to databases, financial information, HR systems, transaction systems, the backup corpus, well. You get the point. There are many bespoke tools to support a comprehensive identity access management and privilege access system. Single sign-on, identity aggregation, de-duplication of identities, identity creation, the governance of those identities, group management. Many of these tools are open source. So you have lots of vendors, lots of different systems, and often many dashboards. Practitioners tell us that it's the paper cuts that kill them, patches that aren't applied, open ports, orphan profiles that aren't disabled. They'd love to have a single dashboard, but it's often not practical for large organizations because of the bespoke nature of the tooling and the skills required to manage them. Now, adding to this complexity, many organizations have different identity systems for privileged accounts, the general employee population and customer identity. For example, around 50 percent of ETR respondents in a recent survey use different systems for workforce identity and consumer identity. Now this is often done because the consumer identity is a totally different journey. The consumer is out in the wild and takes an unknown, nonlinear path and then enters the known space inside a brand's domain. The employee identity journey is known throughout. You go onboarding, to increasing responsibilities and more access to off-boarding. Privileged access may even have different attributes, does usually like no email and, or no shared credentials. And we haven't even touched on the other identity consumers in the ecosystem like selling partners, suppliers, machines, etcetera. Like I said, it's complicated and meeting the needs of auditors is stressful and expensive for CSOs. Open chest wounds, such as sloppy histories of privileged access approvals, obvious role conflicts, missing data, inconsistent application of policy and the list goes on. The expense of securing digital operations goes well beyond the software and hardware acquisition costs. So there's a real need and often desire, to converge these systems. But technical debt makes it difficult. Companies have spent a lot of time, effort and money on their identity systems and they can't just rip and replace. So they often build by integrating piece parts or they add on to their Quasi-integrated monolithic systems. And then there's the whole Zero-Trust concept. It means a lot of different things to a lot of different people, but folks are asking if I have Zero-Trust, does it eliminate the need for identity? And what does that mean for my architecture, going forward. So, let's take a snapshot of some of the key players in identity and PAM, Privileged Access Management. This is an X-Y graph that we always like to show. It shows the net score or spending velocity, spending momentum on the vertical axis and market share or presence in the ETR dataset on the horizontal axis. It's not like revenue market share. It's just, it's mentioned market share if you will. So it's really presence in the dataset. Now, note the chart insert, the table, which shows the actual data for Net Score and Shared In, which informs the position of the dot. The red dotted line there, it indicates an elevated level. Anything over 40 percent that mark, we consider the strongest spending velocity. Now within this subset of vendors that we've chosen, where we've tried to identify some, most of them are pure plays, in this identity space. You can see there are six above that 40 percent mark including Zscaler, which tops the charts, Okta, which has been at or near the top for several quarters. There's an argument by the way, to be made that Okta and Zscaler are on a collision course as Okta expands it's TAM, but let's just park that thought for a moment. You can see Microsoft with a highly elevated spending score and a massive presence on the horizontal axis, CyberArk and SailPoint, which Okta is now aiming to disrupt and Auth zero, which Okta officially acquired in may of this year, more on that later now. Now, below that 40 percent mark you can see Cisco, which is largely acquired companies in order to build its security portfolio. For example, Duo which focuses on access and multi-factor authentication. Now, word of caution, Cisco and Microsoft in particular are overstated because, this includes their entire portfolio of security products, whereas the others are more closely aligned as pure plays in identity and privileged access. ThycotyicCentrify is pretty close to that 40 percent mark and came about as a result of the two companies merging in April of this year. More evidence of consolidation in this space, BeyondTrust is close to the red line as well, which is really interesting because this is a company whose roots go back to the VAX VMS days, which many of you don't even know what a VAX VMS is in the mid 1980s. It was the mini computer standard and the company has evolved to provide more modern PAM solutions. Ping Identity is also notable in that, it essentially emerged after the dot com bust in the early 2000s as an identity solution provider for single sign-on, SSO and multifactor authentication, MFA solutions. In IPO'd in the second half of 2019, just prior to the pandemic. It's got a $2 billion market cap-down from its highs of around $3 billion earlier this year and last summer. And like many of the remote work stocks, they bounced around, as the reopening trade and lofty valuations have weighed on many of these names, including Okta and SailPoint. Although CyberArk, actually acted well after its August 12th earnings call as its revenue growth about doubled year on year. So hot space and a big theme this year is around Okta's acquisition of Auth zero and its announcement at Oktane 2021, where it entered the PAM market and announced its thrust to converge its platform around PAM and Identity Governance and administration. Now I spoke earlier this week with Diya Jolly, who's the Chief Product Officer at Okta and I'll share some of her thoughts later in this segment. But first let's look at some of the ETR data from a recent drill down study that our friends over there conducted. This data is from a drill down that was conducted early this summer, asking organizations how important it is to have a single dashboard for access management, Identity Governance and privileged access. This goes directly to Okta strategy that it announced this year at it's Oktane user conference. Basically 80 percent of the respondents want this. So this is no surprise. Now let's stay on this theme of convergence. ETR asks security pros if they thought convergence between access management and Identity Governance would occur within the next three years. And as you can see, 89% believe this is going to happen. They either strongly agree, agree, or somewhat agree. I mean, it's almost as though the CSOs are willing this to occur. And this seemingly bodes well for Okta, which in April announced its intent to converge PAM and IGA. Okta's Diya jolly stressed to me that this move was in response to customer demand. And this chart confirms that, but there's a deeper analysis worth exploring. Traditional tools of identity, single sign-on SSO and multi-factor authentication MFA, they're being commoditized. And the most obvious example of this is OAuth or Open Authorization. You know, log in with Twitter, Google, LinkedIn, Amazon, Facebook. Now Okta currently has around a $35 billion market cap as of today, off from its highs, which were well over 40 billion earlier this year. Okta stated, previously stated, total addressable market was around 55 billion. So CEO, Todd McKinnon had to initiate a TAM expansion play, which is the job of any CEO, right? Now, this move does that. It increases the company's TAM by probably around $20 to $30 billion in our view. Moreover, the number one criticism of Okta is, "Your price is too high." That's a good problem to have I say. Regardless, Okta has to think about adding more value to its customers and prospects, and this move both expands its TAM and supports its longer-term vision to enable a secure user-controlled ubiquitous, digital identity, supporting federated users and data within a centralized system. Now, the other thing Jolly stressed to me is that Okta is heavily focused on the user experience, making it simple and consumer grade easy. At Oktane 21, she gave a keynote laying out the company's vision. It was a compelling presentation designed to show how complex the problem is and how Okta plans to simplify the experience for end users, service providers, brands, and the overall technical community across the ecosystem. But look, there are a lot of challenges, the company faces to pull this off. So let's dig into that a little bit. Zero-Trust has been the buzz word and it's a direction, the industry is moving towards, although there are skeptics. Zero-Trust today is aspirational. It essentially says you don't trust any user or device. And the system can ensure the right people or machines, have the proper level of access to the resources they need all the time, with a fantastic user experience. So you can see why I call this nirvana earlier. In previous breaking analysis segments, we've laid out a map for protecting your digital identity, your passwords, your crypto wallets, how to create Air Gaps. It's a bloody mess. So ETR asked security pros if they thought a hybrid of access management and Zero-Trust network could replace their PAM systems, because if you can achieve Zero-Trust in a world with no shared credentials and real-time access, a direction which Diya jolly clearly told me Okta is headed, then in theory, you can eliminate the need for Privileged Access Management. Another way of looking at this is, you do for every user what you do for PAM users. And that's how you achieve Zero-Trust. But you can see from this picture that there's more uncertainty here with nearly 50 percent of the sample, not in agreement that this is achievable. Practitioners in Eric Bradley's round tables tell us that you'll still need the PAM system to do things, like session auditing and credential checkouts and other things. But much of the PAM functionality could be handled by this Zero-Trust environment we believe. ETR then asks the security pros, how difficult it would be to replace their PAM systems. And this is where it gets interesting. You can see by this picture. The enthusiasm wanes quite a bit when the practitioners have to think about the challenges associated with replacing Privileged Access Management Systems with a new hybrid. Only 20 percent of the respondents see this as, something that is easy to do, likely because they are smaller and don't have a ton of technical debt. So the question and the obvious question is why? What are the difficulties and challenges of replacing these systems? Here's a diagram that shows the blockers. 53 percent say gaps in capabilities. 26 percent say there's no clear ROI. IE too expensive and 11 percent interestingly said, they want to stay with best of breed solutions. Presumably handling much of the integration of the bespoke capabilities on their own. Now speaking with our Eric Bradley, he shared that there's concern about "rip and replace" and the ability to justify that internally. There's also a significant buildup in technical debt, as we talked about earlier. One CSO on an Eric Bradley ETR insights panel explained that the big challenge Okta will face here, is the inertia of entrenched systems from the likes of SailPoint, Thycotic and others. Specifically, these companies have more mature stacks and have built in connectors to legacy systems over many years and processes are wired to these systems and would be very difficult to change with skill sets aligned as well. One practitioner told us that he went with SailPoint almost exclusively because of their ability to interface with SAP. Further, he said that he believed, Okta would be great at connecting to other cloud API enabled systems. There's a large market of legacy systems for which Okta would have to build custom integrations and that would be expensive and would require a lot of engineering. Another practitioner said, "We're not implementing Okta, but we strongly considered it." The reason they didn't go with was the company had a lot of on-prem legacy apps and so they went with Microsoft Identity Manager, but that didn't meet the grade because the user experience was subpar. So they're still searching for a solution that can be good at both cloud and on-prem. Now, a third CSO said, quote, " I've spent a lot of money, writing custom connectors to SailPoint", and he's stressed a lot of money, he said that several times. "So, who was going to write those custom connectors for me? Will Okta do it for free? I just don't see that happening", end quote. Further, this individual said, quote, "It's just not going to be an easy switch. And to be clear, SailPoint is not our PAM solution. That's why we're looking at CyberArk." So the complexity that, unquote. So the complexity and fragmentation continues. And personally I see this as a positive trend for Okta, if it can converge these capabilities. Now I pressed Okta's Diya Jolly on these challenges and the difficulties of replacing them over to our stacks of the competitors. She fully admitted, this was a real issue But her answer was that Okta is betting on the future of microservices and cloud disruption. Her premise is that Okta's platform is better suited for this new application environment, and they're essentially betting on organizations modernizing their application portfolios and Okta believes that it will be ultimately a tailwind for the company. Now let's look at the age old question of best of breed versus incumbent slash integrated suite. ETR and it's drilled down study ask customers, when thinking about identity and access management solutions, do you prefer best of breed and incumbent that you're already using or the most cost efficient solution? The respondents were asked to force rank one, two and three, and you can see, incumbent just edged out best in breed with a 2.2 score versus a 2.1, with the most cost-effective choice at 1.7. Now, overall, I would say, this is good news for Okta. Yes, they faced the issues that we brought up earlier but as digital transformations lead to modernizing much of the application portfolio with container and microservices, Okta will be in a position, assuming it continues to innovate, to pick up much of this business. And to the point earlier, where the CSO told us they're going to use both SailPoint and CyberArk. When ETR asked practitioners which vendors are in the best position to benefit from Zero-Trust, the Zero-Trust trend, the answers were not surprisingly all over the place. Lots of Okta came up. Zscaler came up a lot too, hmm. There's that collision course. But plenty of SailPoint, Palo Alto, Microsoft, Netskope, Dichotic, Centrify, Cisco, all over the map. So now let's look specifically at how practitioners are thinking about Okta's latest announcements. This chart shows the results of the question. Are you planning to evaluate Okta's recently announced Identity Governance and PAM offerings? 45 to nearly 50 percent of the respondents either were already using or plan to evaluate, with just around 40 percent saying they had no plans to evaluate. So again, this is positive news for Okta in our view. The huge portion of the market is going to take a look at what Okta's doing. Combined with the underlying trends that we shared earlier related to the need for convergence, this is good news for the company. Now, even if the blockers are too severe to overcome, Okta will be on the radar and is on the radar as you can see from this data. And as with the Microsoft MIM example, the company will be seen as increasingly strategic, Okta that is, and could get another bite at the apple. Moreover, Okta's acquisition of Auth zero is strategically important. One of the other things Jolly told me is they see initiative starting both from devs and then hand it over to IT to implement, and then the reverse where IT may be the starting point and then go to devs to productize the effort. The Auth zero acquisition gives Okta plays in both games, because as we've reported earlier, Okta wasn't strong with the devs, Auth zero that was their wheelhouse. Now Okta has both. Now on the one hand, when you talk to practitioners, they're excited about the joint capabilities and the gaps that Auth zero fills. On the other hand, it takes out one of Okta's main competitors and customers like competition. So I guess I look at it this way. Many enterprises will spend more money to save time. And that's where Okta has traditionally been strong. Premium pricing but there's clear value, in that it's easier, less resources required, skillsets are scarce. So boom, good fit. Other enterprises look at the price tag of an Okta and, they actually have internal development capabilities. So they prefer to spend engineering time to save money. That's where Auth zero has seen its momentum. Now Todd McKinnon and company, they can have it both ways because of that acquisition. If the price of Okta classic is too high, here's a lower cost solution with Auth zero that can save you money if you have the developer talent and the time. It's a compelling advantage, that's unique. Okay, let's wrap. The road to Zero-Trust networks is long and arduous. The goal is to understand, support and enable access for different roles, safely and securely, across an ecosystem of consumers, employees, partners, suppliers, all the consumers, (laughs softly) of your touch points to your security system. You've got to simplify the user experience. Today's kluge of password, password management, security exposures, just not going to cut it in the digital future. Supporting users in a decentralized, no-moat world, the queen has left her castle, as I often say is compulsory. But you must have federated governance. And there's always going to be room for specialists in this space. Especially for industry specific solutions for instance, within healthcare, education, government, etcetera. Hybrids are the reality for companies that have any on-prem legacy apps. Now Okta has put itself in a leadership position, but it's not alone. Complexity and fragmentation will likely remain. This is a highly competitive market with lots of barriers to entry, which is both good and bad for Okta. On the one hand, unseating incumbents will not be easy. On the other hand, Okta is both scaling and growing rapidly, revenues are growing almost 50% per annum and with it's convergence agenda and Auth zero, it can build a nice moat to its business and keep others out. Okay, that's it for now. Remember, these episodes are all available as podcasts, wherever you listen, just search braking analysis podcast, and please subscribe. Thanks to my colleague, Eric Bradley, and our friends over at ETR. Check out ETR website at "etr.plus" for all the data and all the survey action. We also publish a full report every week on "wikibon.com" and "siliconangle.com". So make sure you check that out and browse the breaking analysis collection. There are nearly a hundred of these episodes on a variety of topics, all available free of charge. Get in touch with me. You can email me at "david.vellante@siliconangle.com" or "@dvellante" on Twitter. Comment on our LinkedIn posts. This is Dave Vellante for "theCUBE" insights powered by ETR. Have a great week everybody. Stay safe, be well And we'll see you next time. (upbeat music)

>>Edge computing is predict, projected to be a multi-trillion dollar business. You know, it's hard to really pinpoint the size of this market. Let alone fathom the potential of bringing software, compute, storage, AI, and automation to the edge and connecting all that to clouds and on-prem systems. But what, you know, what is the edge? Is it factories? Is it oil rigs, airplanes, windmills, shipping containers, buildings, homes, race cars. Well, yes and so much more. And what about the data for decades? We've talked about the data explosion. I mean, it's mind boggling, but guess what, we're gonna look back in 10 years and laugh. What we thought was a lot of data in 2020, perhaps the best way to think about edge is not as a place, but when is the most logical opportunity to process the data and maybe it's the first opportunity to do so where it can be decrypted and analyzed at very low latencies that that defines the edge. And so by locating compute as close as possible to the sources of data, to reduce latency and maximize your ability to get insights and return them to users quickly, maybe that's where the value lies. Hello everyone. And welcome to this cube conversation. My name is Dave Vellante and with me to noodle on these topics is Omar Assad, VP, and GM of primary storage and data management services at HPE. Hello, Omer. Welcome to the program. >>Hey Steve. Thank you so much. Pleasure to be here. >>Yeah. Great to see you again. So how do you see the edge in the broader market shaping up? >>Uh, David? I think that's a super important, important question. I think your ideas are quite aligned with how we think about it. Uh, I personally think, you know, as enterprises are accelerating their sort of digitization and asset collection and data collection, uh, they're typically, especially in a distributed enterprise, they're trying to get to their customers. They're trying to minimize the latency to their customers. So especially if you look across industries manufacturing, which is distributed factories all over the place, they are going through a lot of factory transformations where they're digitizing their factories. That means a lot more data is being now being generated within their factories. A lot of robot automation is going on that requires a lot of compute power to go out to those particular factories, which is going to generate their data out there. We've got insurance companies, banks that are creating and interviewing and gathering more customers out at the edge for that. >>They need a lot more distributed processing out at the edge. What this is requiring is what we've seen is across analysts. A common consensus is that more than 50% of an enterprise is data, especially if they operate globally around the world is going to be generated out at the edge. What does that mean? More data is new data is generated at the edge, but needs to be stored. It needs to be processed data. What is not required needs to be thrown away or classified as not important. And then it needs to be moved for Dr. Purposes either to a central data center or just to another site. So overall in order to give the best possible experience for manufacturing, retail, uh, you know, especially in distributed enterprises, people are generating more and more data centric assets out at the edge. And that's what we see in the industry. >>Yeah. We're definitely aligned on that. There's some great points. And so now, okay. You think about all this diversity, what's the right architecture for these deploying multi-site deployments, robo edge. How do you look at that? >>Oh, excellent question. So now it's sort of, you know, obviously you want every customer that we talk to wants SimpliVity, uh, in, in, and, and, and, and no pun intended because SimpliVity is reasoned with a simplistic edge centric architecture, right? So because let's, let's take a few examples. You've got large global retailers, uh, they have hundreds of global retail stores around the world that is generating data that is producing data. Then you've got insurance companies, then you've got banks. So when you look at a distributed enterprise, how do you deploy in a very simple and easy to deploy manner, easy to lifecycle, easy to mobilize and easy to lifecycle equipment out at the edge. What are some of the challenges that these customers deal with these customers? You don't want to send a lot of ID staff out there because that adds costs. You don't want to have islands of data and islands of storage and promote sites, because that adds a lot of States outside of the data center that needs to be protected. >>And then last but not the least, how do you push lifecycle based applications, new applications out at the edge in a very simple to deploy better. And how do you protect all this data at the edge? So the right architecture in my opinion, needs to be extremely simple to deploy. So storage, compute and networking, uh, out towards the edge in a hyperconverged environment. So that's, we agree upon that. It's a very simple to deploy model, but then comes, how do you deploy applications on top of that? How do you manage these applications on top of that? How do you back up these applications back towards the data center, all of this keeping in mind that it has to be as zero touch as possible. We at HBS believe that it needs to be extremely simple. Just give me two cables, a network cable, a power cable, tied it up, connected to the network, push it state from the data center and back up at state from the ed back into the data center. Extremely simple. >>It's gotta be simple because you've got so many challenges. You've got physics that you have to deal your latency to deal with. You got RPO and RTO. What happens if something goes wrong, you've gotta be able to recover quickly. So, so that's great. Thank you for that. Now you guys have hard news. W what is new from HPE in this space >>From a, from a, from a, from a deployment perspective, you know, HPE SimpliVity is just gaining like it's exploding, like crazy, especially as distributed enterprises adopt it as it's standardized edge architecture, right? It's an HCI box has got stories, computer networking, all in one. But now what we have done is not only you can deploy applications all from your standard V-Center interface, from a data center, what have you have now added is the ability to backup to the cloud, right? From the edge. You can also back up all the way back to your core data center. All of the backup policies are fully automated and implemented in the, in the distributed file system. That is the heart and soul of, of the SimpliVity installation. In addition to that, the customers now do not have to buy any third-party software into backup is fully integrated in the architecture and it's van efficient. >>In addition to that, now you can backup straight to the client. You can backup to a central, uh, high-end backup repository, which is in your data center. And last but not least, we have a lot of customers that are pushing the limit in their application transformation. So not only do we previously were, were one-on-one them leaving VMware deployments out at the edge sites. Now revolver also added both stateful and stateless container orchestration, as well as data protection capabilities for containerized applications out at the edge. So we have a lot, we have a lot of customers that are now deploying containers, rapid manufacturing containers to process data out at remote sites. And that allows us to not only protect those stateful applications, but back them up, back into the central data center. >>I saw in that chart, it was a light on no egress fees. That's a pain point for a lot of CEOs that I talked to. They grit their teeth at those entities. So, so you can't comment on that or >>Excellent, excellent question. I'm so glad you brought that up and sort of at that point, uh, uh, pick that up. So, uh, along with SimpliVity, you know, we have the whole green Lake as a service offering as well. Right? So what that means, Dave, is that we can literally provide our customers edge as a service. And when you compliment that with, with Aruba wired wireless infrastructure, that goes at the edge, the hyperconverged infrastructure, as part of SimpliVity, that goes at the edge, you know, one of the things that was missing with cloud backups is the every time you backup to the cloud, which is a great thing, by the way, anytime you restore from the cloud, there is that breastfeed, right? So as a result of that, as part of the GreenLake offering, we have cloud backup service natively now offered as part of HPE, which is included in your HPE SimpliVity edge as a service offering. So now not only can you backup into the cloud from your edge sites, but you can also restore back without any egress fees from HBS data protection service. Either you can restore it back onto your data center, you can restore it back towards the edge site and because the infrastructure is so easy to deploy centrally lifecycle manage, it's very mobile. So if you want to deploy and recover to a different site, you could also do that. >>Nice. Hey, uh, can you, Omar, can you double click a little bit on some of the use cases that customers are choosing SimpliVity for, particularly at the edge, and maybe talk about why they're choosing HPE? >>What are the major use cases that we see? Dave is obviously, uh, easy to deploy and easy to manage in a standardized form factor, right? A lot of these customers, like for example, we have large retailer across the us with hundreds of stores across us. Right now you cannot send service staff to each of these stores. These data centers are their data center is essentially just a closet for these guys, right? So now how do you have a standardized deployment? So standardized deployment from the data center, which you can literally push out and you can connect a network cable and a power cable, and you're up and running, and then automated backup elimination of backup and state and BR from the edge sites and into the data center. So that's one of the big use cases to rapidly deploy new stores, bring them up in a standardized configuration, both from a hardware and a software perspective, and the ability to backup and recover that instantly. >>That's one large use case. The second use case that we see actually refers to a comment that you made in your opener. Dave was where a lot of these customers are generating a lot of the data at the edge. This is robotics automation that is going to up in manufacturing sites. These is racing teams that are out at the edge of doing post-processing of their cars data. Uh, at the same time, there is disaster recovery use cases where you have, uh, you know, campsites and local, uh, you know, uh, agencies that go out there for humanity's benefit. And they move from one site to the other. It's a very, very mobile architecture that they need. So those, those are just a few cases where we were deployed. There was a lot of data collection, and there's a lot of mobility involved in these environments. So you need to be quick to set up quick, to up quick, to recover, and essentially you're up to your next, next move. >>You seem pretty pumped up about this, uh, this new innovation and why not. >>It is, it is, uh, you know, especially because, you know, it is, it has been taught through with edge in mind and edge has to be mobile. It has to be simple. And especially as, you know, we have lived through this pandemic, which, which I hope we see the tail end of it in at least 2021, or at least 2022. They, you know, one of the most common use cases that we saw, and this was an accidental discovery. A lot of the retail sites could not go out to service their stores because, you know, mobility is limited in these, in these strange times that we live in. So from a central center, you're able to deploy applications, you're able to recover applications. And, and a lot of our customers said, Hey, I don't have enough space in my data center to back up. Do you have another option? So then we rolled out this update release to SimpliVity verse from the edge site. You can now directly back up to our backup service, which is offered on a consumption basis to the customers, and they can recover that anywhere they want. >>Fantastic Omer, thanks so much for coming on the program today. >>It's a pleasure, Dave. Thank you. >>All right. Awesome to see you. Now, let's hear from red bull racing and HPE customer, that's actually using SimpliVity at the edge. Countdown really begins when the checkered flag drops on a Sunday. It's always about this race to manufacture >>The next designs to make it more adapt to the next circuit to run those. Of course, if we can't manufacture the next component in time, all that will be wasted. >>Okay. We're back with Matt kudu, who is the CIO of red bull racing? Matt, it's good to see you again. >>Great to say, >>Hey, we're going to dig into a real-world example of using data at the edge and in near real time to gain insights that really lead to competitive advantage. But, but first Matt, tell us a little bit about red bull racing and your role there. >>Sure. So I'm the CIO at red bull racing and that red bull race. And we're based in Milton Keynes in the UK. And the main job job for us is to design a race car, to manufacture the race car, and then to race it around the world. So as CIO, we need to develop the ITT group needs to develop the applications is the design, manufacturing racing. We also need to supply all the underlying infrastructure and also manage security. So it's really interesting environment. That's all about speed. So this season we have 23 races and we need to tear the car apart and rebuild it to a unique configuration for every individual race. And we're also designing and making components targeted for races. So 20 a movable deadlines, um, this big evolving prototype to manage with our car. Um, but we're also improving all of our tools and methods and software that we use to design and make and race the car. >>So we have a big can do attitude of the company around continuous improvement. And the expectations are that we continuously make the car faster. That we're, that we're winning races, that we improve our methods in the factory and our tools. And, um, so for, I take it's really unique and that we can be part of that journey and provide a better service. It's also a big challenge to provide that service and to give the business the agility, agility, and needs. So my job is, is really to make sure we have the right staff, the right partners, the right technical platforms. So we can live up to expectations >>That tear down and rebuild for 23 races. Is that because each track has its own unique signature that you have to tune to, or are there other factors involved there? >>Yeah, exactly. Every track has a different shape. Some have lots of strengths. Some have lots of curves and lots are in between. Um, the track surface is very different and the impact that has some tires, um, the temperature and the climate is very different. Some are hilly, some, a big curves that affect the dynamics of the power. So all that in order to win, you need to micromanage everything and optimize it for any given race track. >>Talk about some of the key drivers in your business and some of the key apps that give you a competitive advantage to help you win races. >>Yeah. So in our business, everything is all about speed. So the car obviously needs to be fast, but also all of our business operations needed to be fast. We need to be able to design a car and it's all done in the virtual world, but the, the virtual simulations and designs need to correlate to what happens in the real world. So all of that requires a lot of expertise to develop the simulation is the algorithms and have all the underlying infrastructure that runs it quickly and reliably. Um, in manufacturing, um, we have cost caps and financial controls by regulation. We need to be super efficient and control material and resources. So ERP and MES systems are running and helping us do that. And at the race track itself in speed, we have hundreds of decisions to make on a Friday and Saturday as we're fine tuning the final configuration of the car. And here again, we rely on simulations and analytics to help do that. And then during the race, we have split seconds, literally seconds to alter our race strategy if an event happens. So if there's an accident, um, and the safety car comes out, or the weather changes, we revise our tactics and we're running Monte Carlo for example. And he is an experienced engineers with simulations to make a data-driven decision and hopefully a better one and faster than our competitors, all of that needs it. Um, so work at a very high level. >>It's interesting. I mean, as a lay person, historically we know when I think about technology and car racing, of course, I think about the mechanical aspects of a self-propelled vehicle, the electronics and the light, but not necessarily the data, but the data's always been there. Hasn't it? I mean, maybe in the form of like tribal knowledge, if somebody who knows the track and where the Hills are and experience and gut feel, but today you're digitizing it and you're, you're processing it and close to real time. >>It's amazing. I think exactly right. Yeah. The car's instrumented with sensors, we post-process at Virgin, um, video, um, image analysis, and we're looking at our car, our competitor's car. So there's a huge amount of, um, very complicated models that we're using to optimize our performance and to continuously improve our car. Yeah. The data and the applications that can leverage it are really key. Um, and that's a critical success factor for us. >>So let's talk about your data center at the track, if you will. I mean, if I can call it that paint a picture for us, what does that look like? >>So we have to send, um, a lot of equipment to the track at the edge. Um, and even though we have really a great wide area network linked back to the factory and there's cloud resources, a lot of the trucks are very old. You don't have hardened infrastructure, don't have ducks that protect cabling, for example, and you could lose connectivity to remote locations. So the applications we need to operate the car and to make really critical decisions, all that needs to be at the edge where the car operates. So historically we had three racks of equipment, like a safe infrastructure, um, and it was really hard to manage, um, to make changes. It was too flexible. Um, there were multiple panes of glass, um, and, um, and it was too slow. It didn't run her applications quickly. Um, it was also too heavy and took up too much space when you're cramped into a garage with lots of environmental constraints. >>So we, um, we'd, we'd introduced hyperconvergence into the factory and seen a lot of great benefits. And when we came time to refresh our infrastructure at the track, we stepped back and said, there's a lot smarter way of operating. We can get rid of all the slow and flexible, expensive legacy and introduce hyperconvergence. And we saw really excellent benefits for doing that. Um, we saw a three X speed up for a lot of our applications. So I'm here where we're post-processing data, and we have to make decisions about race strategy. Time is of the essence in a three X reduction in processing time really matters. Um, we also, um, were able to go from three racks of equipment down to two racks of equipment and the storage efficiency of the HPE SimpliVity platform with 20 to one ratios allowed us to eliminate a rack. And that actually saved a hundred thousand dollars a year in freight costs by shipping less equipment, um, things like backup, um, mistakes happen. >>Sometimes the user makes a mistake. So for example, a race engineer could load the wrong data map into one of our simulations. And we could restore that VDI through SimpliVity backup at 90 seconds. And this makes sure it enables engineers to focus on the car to make better decisions without having downtime. And we sent them to, I take guys to every race they're managing 60 users, a really diverse environment, juggling a lot of balls and having a simple management platform like HPE SimpliVity gives us, allows them to be very effective and to work quickly. So all of those benefits were a huge step forward relative to the legacy infrastructure that we used to run at the edge. >>Yeah. So you had the nice Petri dish and the factory. So it sounds like your, your goals, obviously your number one KPI is speed to help shave seconds time, but also costs just the simplicity of setting up the infrastructure. >>Yeah. It's speed. Speed, speed. So we want applications absolutely fly, you know, get to actionable results quicker, um, get answers from our simulations quicker. The other area that speed's really critical is, um, our applications are also evolving prototypes, and we're always, the models are getting bigger. The simulations are getting bigger and they need more and more resource and being able to spin up resource and provision things without being a bottleneck is a big challenge in SimpliVity. It gives us the means of doing that. >>So did you consider any other options or was it because you had the factory knowledge? It was HCI was, you know, very clearly the option. What did you look at? >>Yeah, so, um, we have over five years of experience in the factory and we eliminated all of our legacy, um, um, infrastructure five years ago. And the benefits I've described, um, at the track, we saw that in the factory, um, at the track we have a three-year operational life cycle for our equipment. When into 2017 was the last year we had legacy as we were building for 2018. It was obvious that hyper-converged was the right technology to introduce. And we'd had years of experience in the factory already. And the benefits that we see with hyper-converged actually mattered even more at the edge because our operations are so much more pressurized time has even more of the essence. And so speeding everything up at the really pointy end of our business was really critical. It was an obvious choice. >>Why, why SimpliVity? What why'd you choose HPE SimpliVity? >>Yeah. So when we first heard about hyperconverged way back in the, in the factory, um, we had, um, a legacy infrastructure, overly complicated, too slow, too inflexible, too expensive. And we stepped back and said, there has to be a smarter way of operating. We went out and challenged our technology partners. We learned about hyperconvergence within enough, the hype, um, was real or not. So we underwent some PLCs and benchmarking and, and the, the PLCs were really impressive. And, and all these, you know, speed and agility benefits, we saw an HP for our use cases was the clear winner in the benchmarks. So based on that, we made an initial investment in the factory. Uh, we moved about 150 VMs in the 150 VDI into it. Um, and then as, as we've seen all the benefits we've successfully invested, and we now have, um, an estate to the factory of about 800 VMs and about 400 VDI. So it's been a great platform and it's allowed us to really push boundaries and, and give the business, um, the service that expects. >>So w was that with the time in which you were able to go from data to insight to recommendation or, or edict, uh, was that compressed, you kind of indicated that, but >>So we, we all telemetry from the car and we post-process it, and that reprocessing time really it's very time consuming. And, um, you know, we went from nine, eight minutes for some of the simulations down to just two minutes. So we saw big, big reductions in time and all, ultimately that meant an engineer could understand what the car was during a practice session, recommend a tweak to the configuration or setup of it, and just get more actionable insight quicker. And it ultimately helps get a better car quicker. >>Such a great example. How are you guys feeling about the season, Matt? What's the team's sentiment? >>Yeah, I think we're optimistic. Um, we w we, um, uh, we have a new driver >>Lineup. Uh, we have, um, max for stopping his carries on with the team and Sergio joins the team. So we're really excited about this year and, uh, we want to go and win races. Great, Matt, good luck this season and going forward and thanks so much for coming back in the cube. Really appreciate it. And it's my pleasure. Great talking to you again. Okay. Now we're going to bring back Omer for quick summary. So keep it real >>Without having solutions from HB, we can't drive those five senses, CFD aerodynamics that would undermine the simulations being software defined. We can bring new apps into play. If we can bring new them's storage, networking, all of that can be highly advises is a hugely beneficial partnership for us. We're able to be at the cutting edge of technology in a highly stressed environment. That is no bigger challenge than the formula. >>Okay. We're back with Omar. Hey, what did you think about that interview with Matt? >>Great. Uh, I have to tell you I'm a big formula one fan, and they are one of my favorite customers. Uh, so, you know, obviously, uh, one of the biggest use cases as you saw for red bull racing is Trackside deployments. There are now 22 races in a season. These guys are jumping from one city to the next, they've got to pack up, move to the next city, set up, set up the infrastructure very, very quickly and average formula. One car is running the thousand plus sensors on that is generating a ton of data on track side that needs to be collected very quickly. It needs to be processed very quickly, and then sometimes believe it or not, snapshots of this data needs to be sent to the red bull back factory back at the data center. What does this all need? It needs reliability. >>It needs compute power in a very short form factor. And it needs agility quick to set up quick, to go quick, to recover. And then in post processing, they need to have CPU density so they can pack more VMs out at the edge to be able to do that processing now. And we accomplished that for, for the red bull racing guys in basically two are you have two SimpliVity nodes that are running track side and moving with them from one, one race to the next race, to the next race. And every time those SimpliVity nodes connect up to the data center collector to a satellite, they're backing up back to their data center. They're sending snapshots of data back to the data center, essentially making their job a whole lot easier, where they can focus on racing and not on troubleshooting virtual machines, >>Red bull racing and HPE SimpliVity. Great example. It's agile, it's it's cost efficient, and it shows a real impact. Thank you very much. I really appreciate those summary comments. Thank you, Dave. Really appreciate it. All right. And thank you for watching. This is Dave Volante. >>You.

>>Good morning. Good afternoon. And good evening. I am Kevin Duke with HPE GreenLake cloud services and welcome to the HPE GreenLake per private cloud session. I enjoined today by Raj mystery and Steve show Walter, who will walk us through today's presentation and demonstration. We'd like to keep this session interactive. So please submit your questions in the chat window. We have subject matter experts on the line to answer your questions. So with that, I'll hand over to Raj Kilz. Thanks Kevin. So cloud is now fast becoming a reality. We says HPE and what our customers say to is that it's not an expectation anymore. It's an absolute necessity. So the research and the stats that you see on the screen, just kind of like prove that over the last five to six years, organizations, enterprises are adopting cloud. Be it in the data center with the hyperscalers are a mixture of both. >>But the interesting thing that we see now is a moving investment to basically increase private cloud capability. Uh, and in that vein, what we've done with Greenlight cloud services is create a rich portfolio that delivers that cloud-like experience either at the edge in your data center, co-location the actually matches and actually embraces the work that you do with the hyperscalers. What we're doing here is we're providing self-service capability elasticity in the means and the way that you would use this and the way that you would flex things open down more importantly, all of this is one and operated for you, which comes true to what we say in terms of delivering that cloud experience within those locations, being at the edge, the data center or the Colwell, um, Greenlight for private cloud was initially launched, uh, in summer 2020, it was the first iteration of what we call the Greenlight platforms. >>What we're trying to do with this element of the Greenlight cloud services portfolio is four things which is eliminate the complexity of building things that live, breathe, behave, and act like in a cloud-like manner in the data center, because this is hard. Yeah, the visibility around the way that you would manage and understand and run and operate certain elements of that cloud, uh, the governance and the compliance pace, which is important, especially when it comes to things like applying policies, et cetera, that you would have. And then the skills gap that we do from our managed services perspective, that takes things off. So from an infrastructure standpoint, beginning of the left, well class HPE compute storage networks, which is embracing the virtualization and the software defined networking layer together with a pretty rich cloud automation and orchestration portal all wrapped up for you. Pre-built pre architected, removing complexity, increasing time to value, uh, and, and, uh, the, the actual delivery timescales, if we move to the actual experience, although this is actually, uh, embracing the way that you would access these, uh, solutions. >>So in, through GreenLake central, uh, that's where your other service experience begins with HPE is your entry point into the world of as a service from here on which you would actually access that service. So from a, from a private cloud standpoint, this is where you would initiate the cloud management portal. And then you would begin either working in that and the roles of either administrator, consumer, et cetera. Lastly, you know, pushing buttons and provisioning stuff is really easy, but a lot of our focuses is in the pulse provisioning processes, understanding is it turned on? Is it off? How much is it costing me? Am I getting the most efficiency out of it? Am I running out of capacity to deliver services to my users? All of this is finally wrapped up with the managed platform capability, which means you now have to understand and treat Hewlett-Packard enterprise as an MSP and a cloud provider within our data center. We take care of the infrastructure, the software, and the experience, your entry point is that the cloud management layer, that's how we get you going. >>Hey, Roger, I know we made some announcements earlier today about a new scalable form factor version of private cloud. I was wondering if maybe you could talk about how that extends the value proposition for customers >>Question Steve. Um, so what the scalable form factor is really is it's also looking at market feedback, understanding of what our customers are bringing this as a entry point into the smaller and the more medium enterprise who are looking to deliver private cloud capabilities, you know, making it easier for them to embrace it and then scale. The other differences is the way that we actually have flexibility in the way that that cloud solution now grows. So different options, uh, available to customers in terms of what they want to do. We typically talk as a team and to our customers about different roles. So we have a notion of the cloud administrator or the cloud operator. This is more of your classic kind of like administrative role. So this is where our customers would come in, right at the cloud management layer and begin configuring their EMR environment, networking services, et cetera, from here, onwards is the cloud consumer. >>So applications, line, application, developers, lines of business, et cetera, they're presented with a self-service catalog for them to come and provision stuff. It could be normal VMs. It could be kind of like applications depending on what the administrators or the operators of Charles and to present to them. Lastly, it's around, how do I understand what's going on in the environment? So the focus, as I mentioned beforehand, visibility to them understand what's happening to then optimize later. So addressing the needs of lines of, or it leaders and business leaders within our customer base, although this then begins from our central point of access, which is GreenLake central from here, services and solutions that customers subscribe to are presented, depending on who you are, your privileges, your role within the actual environment, you get different options. So a cloud administrator may see different things in central because they require administrative functions within the cloud environment. I consume it such as me may have limited views in central access a service, but I can basically only read our provision set, things that are done for me from a lines of business or from an it leadership perspective. It's about providing predictive billing visibility into cost, understanding from a planning standpoint and allowing people to optimize it, ease and speed. So central is where your journey begins. And then from within there, you launch the necessary service like you're subscribed to today's focus is the private cloud. >>So who is this a solution built for Raj? Uh, initially we started off at the large enterprise level, Kevin, but what we've done as we did as HPE has listened to our customers. So we've reintroduced on them. We're launching today, the scalable form factor to address the needs of a multitude of clients, both large and small and enable people to have different kind of like deployment types. So remote office branch office for the larger customers, and for those smaller enterprises wanting to begin their private cloud journey, a great way for them to do that with HPE. >>All right. Thank you. >>Um, how does the customer access the private cloud environment, uh, by agreeing like central Kevin? Great question. That's our entry point for any of the services? Uh, easier to see later on in the demo that Steve's going to walk through, uh, it's where customers come in and depending on role access, privilege, rights, et cetera, you are presented with your services. And from within that you access the service depending on the role that's been assigned to you. So state, why don't you show us a little bit about what a cloud administrator or a cloud operator can do within the environment? Sure. Happy to rush. As we talked to these personas are use cases. You know, our experience, as Raj mentioned, will always start in GreenLake central. So the role or persona I'm taking on here is that of an administrator of this private cloud environment. So again, I start off by logging into GreenLake central. Once this stood up, services stood up and available, uh, within my data center, I see the green Lake for private cloud tile, which gives me an overview of services I'm consuming. And some of the things that might be running in that environment, clicking on the tile, takes me to the cloud management platform dashboard. This is where I, as an administrator can configure and control lots of things in the environment on behalf of my end users. So a couple of examples of things I might want to do first off. Uh, there's an important >>Notion of grouping that we use for access control within the environment. So I may want to organize my users into groups to control what they can see, what they can do, what sort of policies I can apply to them next. I probably want to configure the underlying software defined network that Raj talked about. So again, we deliver a software defined networking capability from within the software defined network. This is where I can create things like underlying networks, underlying distributed V switches at an IP address pools. I can also configure and manage software defined routers, firewall rules, and some of those sorts of things within the environment, uh, in the IP address pools I have that I want to make available to some of those underlying networks I could manage from within here as well. We also feature software to find load balancing capabilities. So again, if I expect to my developers or my end users, to be able to provision resources that require some load balancing, I can create those load balancers define the types of load balancing I want to make available to those end users from within here as well. >>Finally, I can manage keys and certificates. So if I have things like key payers or SSL certificates, again, that I want to make available to my end users, um, I could manage all that from within here. And then one of the final things I might want to do is start to manage a, an automation library. So a library of virtual images, I don't want to make available for, for my end users because the private cloud solution is based on VMware. I might want to just pull in some existing VMware images. I have, I might want to create some new custom images, but really I have a central place to be able to manage that library of images and then, you know, decide who has access to which images and how I want to make those available to end users users to be able to provision and lifecycle manage. >>So that's a quick overview of some of the administrative capabilities, uh, Kevin, any questions at this point about that capability? I got one for you customers bring their own tooling to the private cloud. Oh yeah. So that's a great question. So, you know, almost every customer I talk to nowadays has made a large investment, typically in some sort of automation tooling. And one of the things that we want to provide is the ability to surface that tooling and kind of allow customers to be able to reuse that tooling within our private cloud environment. So within the private cloud platform, as an administrator, I can create all sorts of scripts and, you know, maybe some basic capabilities I wanted to find for scripts, but they also have the ability to integrate automation platforms. So we can see in this particular environment, I've, I've onboarded a, uh, a set of Ansible playbooks that exist in a get repo. Uh, I really just point the cloud management platform to that repo it scrapes all the playbooks that it finds there and those become available as tasks and workflows that I can use, uh, after I provisioned BM. So again, I can reuse that investment that I've made in automating things like application provisioning, application configuration for my end users within my environment. >>I've got another one for you. Uh, how do customers improve control and governance of their private cloud? Yeah. So there are a couple of different ways to do that. So, you know, we'll talk specifically. One of the capabilities I have within, uh, the cloud management platform is the ability to create, uh, policies. Policies are really a way I can provide my users with, you know, self-service access to kind of go do the things that they need to do, but provide some control around what they can do. So there's all sorts of policies I can create. So policies around things like if I've got certain group of users that I want to require to get provision approval, anytime they approve provision something, I wanted an administrator to approve it. I can also limit the things that maybe a group of consumers of consumers can consume within my environment. Maybe I want to define a certain host name rule. So rather than create your own host names, I have a rule I want applied. Um, if tagging and showback is important, I might want to force some tags within my environment, say, Hey, anybody who provisioned something needs to provide me a value for this tag. And then I can define how that applies within the environment. So hopefully that answers some questions and gives you a feel of how these cloud administrators would work within the environment, TB to be able to manage the overall environment itself. >>Perfect. Thanks Steve. So what we've just described in seeing is, is the ability for a cloud administrator to a do day one tasks, set things up, set some services off and more importantly, apply some rules, controls, and governance. So it keeps users safe and it keeps it happy. Really. So let's say I'm Raj, I'm the head of applications and I've got a team of developers. So I'm now going to come in as a consumer. Can you show me what I can do as a consumer pleaser? >>Sure. Raj. So again, just like with the administrative use case, we talked about as a, as a cloud consumer, my experience starts in GreenLake central. So once I'm logged into GreenLake central, if I've been provided access to the environment by my administrators, I see the green Lake for private cloud tile, and I click on it to get to the cloud management platform. Just like the administrator you use. Now, I probably see a lot less because I probably have a lot less capabilities here, but one of the first places I'd probably want to go is take a look at what instances have been provisioned and maybe provision an instance on my own. So, you know, instance provisioning is very simple. Really. It's just a few clicks and answer a few questions. Uh, so in this case, if I have access to multiple groups, so kind of that logical separation that I talked about, I'd first pick, you know, which group is this a part of? >>Uh, again, in my particular case, I can provide a freeform name because that's the policy that's been set up for me. Um, I've got a forced tag, right? So I have to provide a tag or a label that tells me what, uh, what, what area this is a part of. And as I continue to drill down, now I get to a point where I can select my image based on the images that have been made, made available to me. Um, I can choose a size of a VM. So we have sort of some pre-provision sizes that might administrators have made available to me. And in some cases I can customize some things within those sizes, or maybe I can't, again, just depending on how this was created, select the network that I want to connect to, uh, and provide a few other options. One, the things I do want to talk about is this notion of tagging tagging is very important from a showback perspective. >>And we'll talk about when we get to cost analysis, how we can use any tags that get applied here to be able to do some show back reporting later. So if I want to provide a tag for an owner to make sure I can always write a report that says, show me everything that Steve has consumed. I've got the ability to provide those tags here. And again, through a policy, I can make those tags required. A couple of other choices. I have any of that available automation that maybe my administrators have made available. I can run here. I can select some scaling of my application, maybe go ahead and auto select the backup schedule, manage some lifecycle actions if maybe this VM only needs to run during weekdays. And I don't need it on the weekends. I can have it automatically shut down and start up. >>And at the end, just click on complete. Uh, and my VM is often being built. And then, you know, once my VMs are up and running, I've got access to be able to manage those VMs on a running basis. So, you know, if I have a VM that's running and I want to be able to manage it very simple again, from within the cloud management platform to go take a look at maybe how this VM is performing, maybe I want to log into the console. Maybe I want to take a look at the log stash that, you know, the log log error messages that this VM has created, or maybe I just want to stop it, start, it can create an image from it, or maybe, you know, after I've provisioned, it runs some of those workflows on it as a, as a end-user, I've got the capability to kind of fully manage and fully control those VMs once I have them up and running. >>So that's a quick overview of that cloud consumer use case. Uh, Kevin, do you have any questions right now about that use case? Yeah, I do, uh, cloud consumers today want more than a VM, so how can a private cloud deliver more value for cloud consumers? Yeah, so that's a great question. So we talked a little bit about the cloud management platforms, ability to integrate with existing automation, for things like, uh, application installation and configuration. Uh, but one thing I didn't talk about is kind of an alternate way. We can use that and that's through this notion of blueprints. So within the cloud management platform, I, as a developer or as an administrator can set up blueprints, which are really, uh, very complex applications. These could be multi-node multi-tiered applications where each tier may have a different application installed. They may be load balanced, all those sorts of things, and I can stitch all those together and make them available as a catalog item. >>It's just kind of one simple catalog item for an end user to consume. So they don't have to understand all the complexity or all the multiple nodes or all the workflows required on the backend to provide that service. I've already done all that hard work. I advertise it to them and they don't have to know, again, in this particular case, I've got a web tier made up of a couple of VMs, a database tier made up of a couple of VMs. Uh, there's some automation running, maybe through those Ansible playbooks, uh, in, in the backend to make all those things happen really, as an end user, I just say, Hey, I want one of these applications. I may need to answer a few questions, uh, depending on how the application or their blueprint is built. And then I could push that out as an application. And again, I don't have to understand all the complexities that make up that multi-node multi-tiered application on in the background >>Stay. That's really cool. So like phase as good as it can be. So, right. So we've pushed some buttons, we've set some stuff up, we've provisioned some stuff. So right at the beginning, you know, we spoke about the post provisioning stuff. So how do we actually manage the costs and also look at their usage within their environment, which is also important to our customers. >>Yeah. So it's a great question, Raj. So, you know, obviously customers want to understand what their overall green link consumption is, what their bill is, how all those things relate together. And then they probably want to do much more detailed cost analysis as well. So the good news here, we provide all this tooling and all this is available right through GreenLake central. So a couple of the tiles that you'll see in GreenLake central tie into the private cloud solution, just like they would any other GreenLake solution. So if I want to see overall what I've consumed, uh, within my private cloud, as a GreenLake resource, I can drill down to understand, Hey, what was actually metered as what I consumed, how did that relate to my GreenLake rate card? You know, how did that, how did that create the number that appeared on my GreenLake bill for this particular service at the end of the month, I've also got the tools to do capacity planning, again, just like every other green Lake environment. >>Uh, we want to be able to show kind of that capacity planning view so customers can understand kind of what they're consuming, uh, what direction that's trending. And when we need to add some, we may need to add some more additional capacity. So again, when a customer needs more, it's already there and ready to go, they just start to consume it and pay for it as a part of their green Lake bill. So Greenlight customers have a dedicated account team that kind of works with them to keep an eye on that capacity. And again, make sure we're working with customers to make the right decisions about when is the right time to add additional capacity to the environment. And then finally, you know, our customers also get access to consumption analytics for much more detailed cost reporting. So within consumption analytics, I can take advantage of those tags that I talked about previously. >>So here's a report I created where I want to see my private cloud consumption and use really broken down by cost center. And by the VMs that my users within each of those cost centers is consuming. So I wrote a report to do some showback costing based on those tags. So in this particular case, I can tell, for example, the colo engineer cost center that Hey you over the last month, you've consumed 32, uh, elements within the private cloud environment. You know, your total cost for that was $860. And I can give them the ability to, you know, if they want drill down on this. So, you know, now they'll see every individual VM that was provisioned, uh, where it ran when it ran. And in this particular case, I've broken down the cost between compute and storage, because I really wanted to see those separately as separate line items, but, you know, really give customers the ability to do whatever showback or chargeback reporting makes sense within their organization, based on the tags. >>They want to apply it and how they want to be able to show and consume those costs. So, Kevin, any questions about, uh, sort of this cost analysis use case? Yep. Is there a way to proactively monitor consumption of the private cloud environment? Yeah, so we actually provide a couple of different ways to do that. Uh, one right within consumption analytics that we talked about, one of the capabilities I have is, is the ability to set a budget. So in this particular case, I've set a budget again, kind of by that cost center that I can take a look at, Hey, you know, what are all these cost centers consuming within this private cloud environment? Uh, and how does that relate to, you know, what maybe, uh, an amount that I've given them to be able to use? So I can take a look at it and see, Hey, in the current period, you know, I've got one, a cost center that's over budget two that are under budget and take a look at their historical use as well. >>Going back to the cloud management platform. I also have more of a hard way to be able to set those consumption boundaries, uh, by using a policy. So again, if I want to create a policy that says, Hey, you know, Steve can only have 20 VMs. Uh, once he's provisioned those 20 VMs, he can't have any more, um, you know, he's got to come back and ask for more. And again, you know, when I create this policy, I could apply it to a group or an individual user just kind of based on how I want to put those guard rails around that environment and then sort of do that around that environment. So there's kind of a way to do this in more of a soft way based on cost to understand budgets and get notifications. When I get close to my budget limits or more of a hard way to actually, you know, be able to limit resources that customers can consume within the environment itself. So with that, Raj, I'll throw it back to you. >>Thanks, Dave, >>Just to wrap up really, you know, Steve and Kevin, thank you for the great demonstration and the chat, really, um, a few things for the audience and our customers, uh, to understand what we're now doing with Greenlight for private cloud and other platform solutions is helping you to get started really, really quickly, allowing you to begin your journey with us at the right level. And then you can scale depending on how you are actually managing your transformation, be it from an infrastructure standpoint application standpoint, or you are looking to basically just modernize the way that you deliver services back out to your internal users. The other side of it is, is the important fact that we now act and behave very much like a cloud. So because we run those environments for you, we eliminate the complexity of feeding them all, Trang, all the infrastructure, the configuration, and the updates of the software layer. It leaves you free to basically deliver the services like Steve has just shown the other side of it. Final point, is this all usage based? Uh, so again, lowering kind of like the initial investment risk for you guys, allowing you to, uh, benefit from the way that we've actually integrated the solutions and technologies. So you can just embrace them and take advantage of. >>Excellent. Thank you, Raj. So I would like to thank you all for today. Thank >>You, Raj and Steve, for a brilliant demonstration. If you would like more information or like to speak to someone directly, then please fill out the poll by clicking on the poll option at the top of the chat box. So in closing, if you are interested in HPE GreenLake for private cloud, then please start a trial. It's easy. Thank you. Thank you all and goodbye for now..

(upbeat music) >> Edge computing is projected to be a multi-trillion dollar business. It's hard to really pinpoint the size of this market let alone fathom the potential of bringing software, compute, storage, AI and automation to the edge and connecting all that to clouds and on-prem systems. But what is the edge? Is it factories? Is it oil rigs, airplanes, windmills, shipping containers, buildings, homes, race cars. Well, yes and so much more. And what about the data? For decades we've talked about the data explosion. I mean, it's a mind-boggling but guess what we're going to look back in 10 years and laugh what we thought was a lot of data in 2020. Perhaps the best way to think about Edge is not as a place but when is the most logical opportunity to process the data and maybe it's the first opportunity to do so where it can be decrypted and analyzed at very low latencies. That defines the edge. And so by locating compute as close as possible to the sources of data to reduce latency and maximize your ability to get insights and return them to users quickly, maybe that's where the value lies. Hello everyone and welcome to this CUBE conversation. My name is Dave Vellante and with me to noodle on these topics is Omer Asad, VP and GM of Primary Storage and Data Management Services at HPE. Hello Omer, welcome to the program. >> Thanks Dave. Thank you so much. Pleasure to be here. >> Yeah. Great to see you again. So how do you see the edge in the broader market shaping up? >> Dave, I think that's a super important question. I think your ideas are quite aligned with how we think about it. I personally think enterprises are accelerating their sort of digitization and asset collection and data collection, they're typically especially in a distributed enterprise, they're trying to get to their customers. They're trying to minimize the latency to their customers. So especially if you look across industries manufacturing which has distributed factories all over the place they are going through a lot of factory transformations where they're digitizing their factories. That means a lot more data is now being generated within their factories. A lot of robot automation is going on, that requires a lot of compute power to go out to those particular factories which is going to generate their data out there. We've got insurance companies, banks, that are creating and interviewing and gathering more customers out at the edge for that. They need a lot more distributed processing out at the edge. What this is requiring is what we've seen is across analysts. A common consensus is this that more than 50% of an enterprises data especially if they operate globally around the world is going to be generated out at the edge. What does that mean? New data is generated at the edge what needs to be stored. It needs to be processed data. Data which is not required needs to be thrown away or classified as not important. And then it needs to be moved for DR purposes either to a central data center or just to another site. So overall in order to give the best possible experience for manufacturing, retail, especially in distributed enterprises, people are generating more and more data centric assets out at the edge. And that's what we see in the industry. >> Yeah. We're definitely aligned on that. There's some great points and so now, okay. You think about all this diversity what's the right architecture for these multi-site deployments, ROBO, edge? How do you look at that? >> Oh, excellent question, Dave. Every customer that we talked to wants SimpliVity and no pun intended because SimpliVity is reasoned with a simplistic edge centric architecture, right? Let's take a few examples. You've got large global retailers, they have hundreds of global retail stores around the world that is generating data that is producing data. Then you've got insurance companies, then you've got banks. So when you look at a distributed enterprise how do you deploy in a very simple and easy to deploy manner, easy to lifecycle, easy to mobilize and easy to lifecycle equipment out at the edge. What are some of the challenges that these customers deal with? These customers, you don't want to send a lot of IT staff out there because that adds cost. You don't want to have islands of data and islands of storage and promote sites because that adds a lot of states outside of the data center that needs to be protected. And then last but not the least how do you push lifecycle based applications, new applications out at the edge in a very simple to deploy manner. And how do you protect all this data at the edge? So the right architecture in my opinion needs to be extremely simple to deploy so storage compute and networking out towards the edge in a hyper converged environment. So that's we agree upon that. It's a very simple to deploy model but then comes how do you deploy applications on top of that? How do you manage these applications on top of that? How do you back up these applications back towards the data center, all of this keeping in mind that it has to be as zero touch as possible. We at HPE believe that it needs to be extremely simple, just give me two cables, a network cable, a power cable, fire it up, connect it to the network, push it state from the data center and back up it state from the edge back into the data center, extremely simple. >> It's got to be simple 'cause you've got so many challenges. You've got physics that you have to deal, you have latency to deal with. You got RPO and RTO. What happens if something goes wrong you've got to be able to recover quickly. So that's great. Thank you for that. Now you guys have heard news. What is new from HPE in this space? >> Excellent question, great. So from a deployment perspective, HPE SimpliVity is just gaining like it's exploding like crazy especially as distributed enterprises adopted as it's standardized edge architecture, right? It's an HCI box has got storage computer networking all in one. But now what we have done is not only you can deploy applications all from your standard V-Center interface from a data center, what have you have now added is the ability to backup to the cloud right from the edge. You can also back up all the way back to your core data center. All of the backup policies are fully automated and implemented in the distributed file system that is the heart and soul of the SimpliVity installation. In addition to that, the customers now do not have to buy any third-party software. Backup is fully integrated in the architecture and it's then efficient. In addition to that now you can backup straight to the client. You can back up to a central high-end backup repository which is in your data center. And last but not least, we have a lot of customers that are pushing the limit in their application transformation. So not only, we previously were one-on-one leaving VMware deployments out at the edge site now evolved also added both stateful and stateless container orchestration as well as data protection capabilities for containerized applications out at the edge. So we have a lot of customers that are now deploying containers, rapid manufacture containers to process data out at remote sites. And that allows us to not only protect those stateful applications but back them up back into the central data center. >> I saw in that chart, it was a line no egress fees. That's a pain point for a lot of CIOs that I talked to. They grit their teeth at those cities. So you can't comment on that or? >> Excellent question. I'm so glad you brought that up and sort of at the point that pick that up. So along with SimpliVity, we have the whole Green Lake as a service offering as well, right? So what that means Dave is, that we can literally provide our customers edge as a service. And when you compliment that with with Aruba Wired Wireless Infrastructure that goes at the edge, the hyperconverged infrastructure as part of SimpliVity that goes at the edge. One of the things that was missing with cloud backups is that every time you back up to the cloud, which is a great thing by the way, anytime you restore from the cloud there is that egress fee, right? So as a result of that, as part of the GreenLake offering we have cloud backup service natively now offered as part of HPE, which is included in your HPE SimpliVity edge as a service offering. So now not only can you backup into the cloud from your edge sites, but you can also restore back without any egress fees from HPE's data protection service. Either you can restore it back onto your data center, you can restore it back towards the edge site and because the infrastructure is so easy to deploy centrally lifecycle manage, it's very mobile. So if you want to deploy and recover to a different site, you could also do that. >> Nice. Hey, can you, Omer, can you double click a little bit on some of the use cases that customers are choosing SimpliVity for particularly at the edge and maybe talk about why they're choosing HPE? >> Excellent question. So one of the major use cases that we see Dave is obviously easy to deploy and easy to manage in a standardized form factor, right? A lot of these customers, like for example, we have large retailer across the US with hundreds of stores across US, right? Now you cannot send service staff to each of these stores. Their data center is essentially just a closet for these guys, right? So now how do you have a standardized deployment? So standardized deployment from the data center which you can literally push out and you can connect a network cable and a power cable and you're up and running and then automated backup, elimination of backup and state and DR from the edge sites and into the data center. So that's one of the big use cases to rapidly deploy new stores, bring them up in a standardized configuration both from a hardware and a software perspective and the ability to backup and recover that instantly. That's one large use case. The second use case that we see actually refers to a comment that you made in your opener, Dave, was when a lot of these customers are generating a lot of the data at the edge. This is robotics automation that is going up in manufacturing sites. These is racing teams that are out at the edge of doing post-processing of their cars data. At the same time there is disaster recovery use cases where you have campsites and local agencies that go out there for humanity's benefit. And they move from one site to the other. It's a very, very mobile architecture that they need. So those are just a few cases where we were deployed. There was a lot of data collection and there was a lot of mobility involved in these environments, so you need to be quick to set up, quick to backup, quick to recover. And essentially you're up to your next move. >> You seem pretty pumped up about this new innovation and why not. >> It is, especially because it has been taught through with edge in mind and edge has to be mobile. It has to be simple. And especially as we have lived through this pandemic which I hope we see the tail end of it in at least 2021 or at least 2022. One of the most common use cases that we saw and this was an accidental discovery. A lot of the retail sites could not go out to service their stores because mobility is limited in these strange times that we live in. So from a central recenter you're able to deploy applications. You're able to recover applications. And a lot of our customers said, hey I don't have enough space in my data center to back up. Do you have another option? So then we rolled out this update release to SimpliVity verse from the edge site. You can now directly back up to our backup service which is offered on a consumption basis to the customers and they can recover that anywhere they want. >> Fantastic Omer, thanks so much for coming on the program today. >> It's a pleasure, Dave. Thank you. >> All right. Awesome to see you, now, let's hear from Red Bull Racing an HPE customer that's actually using SimpliVity at the edge. (engine revving) >> Narrator: Formula one is a constant race against time Chasing in tens of seconds. (upbeat music) >> Okay. We're back with Matt Cadieux who is the CIO Red Bull Racing. Matt, it's good to see you again. >> Great to see you Dave. >> Hey, we're going to dig in to a real world example of using data at the edge in near real time to gain insights that really lead to competitive advantage. But first Matt tell us a little bit about Red Bull Racing and your role there. >> Sure. So I'm the CIO at Red Bull Racing and at Red Bull Racing we're based in Milton Keynes in the UK. And the main job for us is to design a race car, to manufacture the race car and then to race it around the world. So as CIO, we need to develop, the IT group needs to develop the applications use the design, manufacturing racing. We also need to supply all the underlying infrastructure and also manage security. So it's really interesting environment that's all about speed. So this season we have 23 races and we need to tear the car apart and rebuild it to a unique configuration for every individual race. And we're also designing and making components targeted for races. So 23 and movable deadlines this big evolving prototype to manage with our car but we're also improving all of our tools and methods and software that we use to design make and race the car. So we have a big can-do attitude of the company around continuous improvement. And the expectations are that we continue to say, make the car faster. That we're winning races, that we improve our methods in the factory and our tools. And so for IT it's really unique and that we can be part of that journey and provide a better service. It's also a big challenge to provide that service and to give the business the agility of needs. So my job is really to make sure we have the right staff, the right partners, the right technical platforms. So we can live up to expectations. >> And Matt that tear down and rebuild for 23 races, is that because each track has its own unique signature that you have to tune to or are there other factors involved? >> Yeah, exactly. Every track has a different shape. Some have lots of straight, some have lots of curves and lots are in between. The track surface is very different and the impact that has on tires, the temperature and the climate is very different. Some are hilly, some have big curbs that affect the dynamics of the car. So all that in order to win you need to micromanage everything and optimize it for any given race track. >> COVID has of course been brutal for sports. What's the status of your season? >> So this season we knew that COVID was here and we're doing 23 races knowing we have COVID to manage. And as a premium sporting team with Pharma Bubbles we've put health and safety and social distancing into our environment. And we're able to able to operate by doing things in a safe manner. We have some special exceptions in the UK. So for example, when people returned from overseas that they did not have to quarantine for two weeks, but they get tested multiple times a week. And we know they're safe. So we're racing, we're dealing with all the hassle that COVID gives us. And we are really hoping for a return to normality sooner instead of later where we can get fans back at the track and really go racing and have the spectacle where everyone enjoys it. >> Yeah. That's awesome. So important for the fans but also all the employees around that ecosystem. Talk about some of the key drivers in your business and some of the key apps that give you competitive advantage to help you win races. >> Yeah. So in our business, everything is all about speed. So the car obviously needs to be fast but also all of our business operations need to be fast. We need to be able to design a car and it's all done in the virtual world, but the virtual simulations and designs needed to correlate to what happens in the real world. So all of that requires a lot of expertise to develop the simulations, the algorithms and have all the underlying infrastructure that runs it quickly and reliably. In manufacturing we have cost caps and financial controls by regulation. We need to be super efficient and control material and resources. So ERP and MES systems are running and helping us do that. And at the race track itself. And in speed, we have hundreds of decisions to make on a Friday and Saturday as we're fine tuning the final configuration of the car. And here again, we rely on simulations and analytics to help do that. And then during the race we have split seconds literally seconds to alter our race strategy if an event happens. So if there's an accident and the safety car comes out or the weather changes, we revise our tactics and we're running Monte-Carlo for example. And use an experienced engineers with simulations to make a data-driven decision and hopefully a better one and faster than our competitors. All of that needs IT to work at a very high level. >> Yeah, it's interesting. I mean, as a lay person, historically when I think about technology in car racing, of course I think about the mechanical aspects of a self-propelled vehicle, the electronics and the light but not necessarily the data but the data's always been there. Hasn't it? I mean, maybe in the form of like tribal knowledge if you are somebody who knows the track and where the hills are and experience and gut feel but today you're digitizing it and you're processing it and close to real time. Its amazing. >> I think exactly right. Yeah. The car's instrumented with sensors, we post process and we are doing video image analysis and we're looking at our car, competitor's car. So there's a huge amount of very complicated models that we're using to optimize our performance and to continuously improve our car. Yeah. The data and the applications that leverage it are really key and that's a critical success factor for us. >> So let's talk about your data center at the track, if you will. I mean, if I can call it that. Paint a picture for us what does that look like? >> So we have to send a lot of equipment to the track at the edge. And even though we have really a great wide area network link back to the factory and there's cloud resources a lot of the tracks are very old. You don't have hardened infrastructure, don't have ducks that protect cabling, for example and you can lose connectivity to remote locations. So the applications we need to operate the car and to make really critical decisions all that needs to be at the edge where the car operates. So historically we had three racks of equipment like I said infrastructure and it was really hard to manage, to make changes, it was too flexible. There were multiple panes of glass and it was too slow. It didn't run our applications quickly. It was also too heavy and took up too much space when you're cramped into a garage with lots of environmental constraints. So we'd introduced hyper convergence into the factory and seen a lot of great benefits. And when we came time to refresh our infrastructure at the track, we stepped back and said, there's a lot smarter way of operating. We can get rid of all the slow and flexible expensive legacy and introduce hyper convergence. And we saw really excellent benefits for doing that. We saw up three X speed up for a lot of our applications. So I'm here where we're post-processing data. And we have to make decisions about race strategy. Time is of the essence. The three X reduction in processing time really matters. We also were able to go from three racks of equipment down to two racks of equipment and the storage efficiency of the HPE SimpliVity platform with 20 to one ratios allowed us to eliminate a rack. And that actually saved a $100,000 a year in freight costs by shipping less equipment. Things like backup mistakes happen. Sometimes the user makes a mistake. So for example a race engineer could load the wrong data map into one of our simulations. And we could restore that DDI through SimpliVity backup at 90 seconds. And this enables engineers to focus on the car to make better decisions without having downtime. And we sent two IT guys to every race, they're managing 60 users a really diverse environment, juggling a lot of balls and having a simple management platform like HPE SimpliVity gives us, allows them to be very effective and to work quickly. So all of those benefits were a huge step forward relative to the legacy infrastructure that we used to run at the edge. >> Yeah. So you had the nice Petri dish in the factory so it sounds like your goals are obviously number one KPIs speed to help shave seconds, awesome time, but also cost just the simplicity of setting up the infrastructure is-- >> That's exactly right. It's speed, speed, speed. So we want applications absolutely fly, get to actionable results quicker, get answers from our simulations quicker. The other area that speed's really critical is our applications are also evolving prototypes and we're always, the models are getting bigger. The simulations are getting bigger and they need more and more resource and being able to spin up resource and provision things without being a bottleneck is a big challenge in SimpliVity. It gives us the means of doing that. >> So did you consider any other options or was it because you had the factory knowledge? It was HCI was very clearly the option. What did you look at? >> Yeah, so we have over five years of experience in the factory and we eliminated all of our legacy infrastructure five years ago. And the benefits I've described at the track we saw that in the factory. At the track we have a three-year operational life cycle for our equipment. When in 2017 was the last year we had legacy as we were building for 2018, it was obvious that hyper-converged was the right technology to introduce. And we'd had years of experience in the factory already. And the benefits that we see with hyper-converged actually mattered even more at the edge because our operations are so much more pressurized. Time is even more of the essence. And so speeding everything up at the really pointy end of our business was really critical. It was an obvious choice. >> Why SimpliVity, why'd you choose HPE SimpliVity? >> Yeah. So when we first heard about hyper-converged way back in the factory, we had a legacy infrastructure overly complicated, too slow, too inflexible, too expensive. And we stepped back and said there has to be a smarter way of operating. We went out and challenged our technology partners, we learned about hyperconvergence, would enough the hype was real or not. So we underwent some PLCs and benchmarking and the PLCs were really impressive. And all these speed and agility benefits we saw and HPE for our use cases was the clear winner in the benchmarks. So based on that we made an initial investment in the factory. We moved about 150 VMs and 150 VDIs into it. And then as we've seen all the benefits we've successfully invested and we now have an estate in the factory of about 800 VMs and about 400 VDIs. So it's been a great platform and it's allowed us to really push boundaries and give the business the service it expects. >> Awesome fun stories, just coming back to the metrics for a minute. So you're running Monte Carlo simulations in real time and sort of near real-time. And so essentially that's if I understand it, that's what ifs and it's the probability of the outcome. And then somebody got to make, then the human's got to say, okay, do this, right? Was the time in which you were able to go from data to insight to recommendation or edict was that compressed and you kind of indicated that. >> Yeah, that was accelerated. And so in that use case, what we're trying to do is predict the future and you're saying, well and before any event happens, you're doing what ifs and if it were to happen, what would you probabilistic do? So that simulation, we've been running for awhile but it gets better and better as we get more knowledge. And so that we were able to accelerate that with SimpliVity but there's other use cases too. So we also have telemetry from the car and we post-process it. And that reprocessing time really, is it's very time consuming. And we went from nine, eight minutes for some of the simulations down to just two minutes. So we saw big, big reductions in time. And ultimately that meant an engineer could understand what the car was doing in a practice session, recommend a tweak to the configuration or setup of it and just get more actionable insight quicker. And it ultimately helps get a better car quicker. >> Such a great example. How are you guys feeling about the season, Matt? What's the team's sentiment? >> I think we're optimistic. Thinking our simulations that we have a great car we have a new driver lineup. We have the Max Verstapenn who carries on with the team and Sergio Cross joins the team. So we're really excited about this year and we want to go and win races. And I think with COVID people are just itching also to get back to a little degree of normality and going racing again even though there's no fans, it gets us into a degree of normality. >> That's great, Matt, good luck this season and going forward and thanks so much for coming back in theCUBE. Really appreciate it. >> It's my pleasure. Great talking to you again. >> Okay. Now we're going to bring back Omer for quick summary. So keep it right there. >> Narrator: That's where the data comes face to face with the real world. >> Narrator: Working with Hewlett Packard Enterprise is a hugely beneficial partnership for us. We're able to be at the cutting edge of technology in a highly technical, highly stressed environment. There is no bigger challenge than Formula One. (upbeat music) >> Being in the car and driving in on the limit that is the best thing out there. >> Narrator: It's that innovation and creativity to ultimately achieves winning of this. >> Okay. We're back with Omer. Hey, what did you think about that interview with Matt? >> Great. I have to tell you, I'm a big formula One fan and they are one of my favorite customers. So obviously one of the biggest use cases as you saw for Red Bull Racing is track side deployments. There are now 22 races in a season. These guys are jumping from one city to the next they got to pack up, move to the next city, set up the infrastructure very very quickly. An average Formula One car is running the thousand plus sensors on, that is generating a ton of data on track side that needs to be collected very quickly. It needs to be processed very quickly and then sometimes believe it or not snapshots of this data needs to be sent to the Red Bull back factory back at the data center. What does this all need? It needs reliability. It needs compute power in a very short form factor. And it needs agility quick to set up, quick to go, quick to recover. And then in post processing they need to have CPU density so they can pack more VMs out at the edge to be able to do that processing. And we accomplished that for the Red Bull Racing guys in basically two of you have two SimpliVity nodes that are running track side and moving with them from one race to the next race to the next race. And every time those SimpliVity nodes connect up to the data center, collect up to a satellite they're backing up back to their data center. They're sending snapshots of data back to the data center essentially making their job a whole lot easier where they can focus on racing and not on troubleshooting virtual machines. >> Red bull Racing and HPE SimpliVity. Great example. It's agile, it's it's cost efficient and it shows a real impact. Thank you very much Omer. I really appreciate those summary comments. >> Thank you, Dave. Really appreciate it. >> All right. And thank you for watching. This is Dave Volante for theCUBE. (upbeat music)

(mellow music) >> Okay, we're back with Matt Cadieux who is the CIO Red Bull Racing. Matt, it's good to see you again. >> Yeah, great to see you, Dave. >> Hey, we're going to dig into a real world example of using data at the edge and in near real-time to gain insights that really lead to competitive advantage. But first Matt, tell us a little bit about Red Bull Racing and your role there. >> Sure, so I'm the CIO at Red Bull Racing. And at Red Bull Racing we're based in Milton Keynes in the UK. And the main job for us is to design a race car, to manufacture the race car, and then to race it around the world. So as CIO, we need to develop, the IT team needs to develop the applications used for the design, manufacturing, and racing. We also need to supply all the underlying infrastructure, and also manage security. So it's a really interesting environment that's all about speed. So this season we have 23 races, and we need to tear the car apart, and rebuild it to a unique configuration for every individual race. And we're also designing and making components targeted for races. So 23 immovable deadlines, this big evolving prototype to manage with our car. But we're also improving all of our tools and methods and software that we use to design and make and race the car. So we have a big can-do attitude in the company, around continuous improvement. And the expectations are that we continue to make the car faster, that we're winning races, that we improve our methods in the factory and our tools. And so for IT it's really unique and that we can be part of that journey and provide a better service. It's also a big challenge to provide that service and to give the business the agility it needs. So my job is really to make sure we have the right staff, the right partners, the right technical platforms, so we can live up to expectations. >> And Matt that tear down and rebuild for 23 races. Is that because each track has its own unique signature that you have to tune to or are there other factors involved there? >> Yeah, exactly. Every track has a different shape. Some have lots of straight, some have lots of curves and lots are in between. The track's surface is very different and the impact that has on tires, the temperature and the climate is very different. Some are hilly, some are big curves that affect the dynamics of the car. So all that in order to win, you need to micromanage everything and optimize it for any given race track. >> And, you know, COVID has, of course, been brutal for sports. What's the status of your season? >> So this season we knew that COVID was here and we're doing 23 races knowing we have COVID to manage. And as a premium sporting team we've formed bubbles, we've put health and safety and social distancing into our environment. And we're able to operate by doing things in a safe manner. We have some special exhibitions in the UK. So for example, when people return from overseas that they do not have to quarantine for two weeks but they get tested multiple times a week and we know they're safe. So we're racing, we're dealing with all the hassle that COVID gives us. And we are really hoping for a return to normality sooner instead of later where we can get fans back at the track and really go racing and have the spectacle where everyone enjoys it. >> Yeah, that's awesome. So important for the fans but also all the employees around that ecosystem. Talk about some of the key drivers in your business and some of the key apps that give you competitive advantage to help you win races. >> Yeah, so in our business everything is all about speed. So the car obviously needs to be fast but also all of our business operations need to be fast. We need to be able to design our car and it's all done in the virtual world but the virtual simulations and designs need to correlate to what happens in the real world. So all of that requires a lot of expertise to develop the simulations, the algorithms, and have all the underlying infrastructure that runs it quickly and reliably. In manufacturing, we have cost caps and financial controls by regulation. We need to be super efficient and control material and resources. So ERP and MES systems are running, helping us do that. And at the race track itself in speed, we have hundreds of decisions to make on a Friday and Saturday as we're fine tuning the final configuration of the car. And here again, we rely on simulations and analytics to help do that. And then during the race, we have split seconds, literally seconds to alter our race strategy if an event happens. So if there's an accident and the safety car comes out or the weather changes, we revise our tactics. And we're running Monte Carlo for example. And using experienced engineers with simulations to make a data-driven decision and hopefully a better one and faster than our competitors. All of that needs IT to work at a very high level. >> You know it's interesting, I mean, as a lay person, historically when I think about technology and car racing, of course, I think about the mechanical aspects of a self-propelled vehicle, the electronics and the like, but not necessarily the data. But the data's always been there, hasn't it? I mean, maybe in the form of like tribal knowledge, if it's somebody who knows the track and where the hills are and experience and gut feel. But today you're digitizing it and you're processing it in close to real-time. It's amazing. >> Yeah, exactly right. Yeah, the car is instrumented with sensors, we post-process, we're doing video, image analysis and we're looking at our car, our competitor's car. So there's a huge amount of very complicated models that we're using to optimize our performance and to continuously improve our car. Yeah, the data and the applications that leverage it are really key. And that's a critical success factor for us. >> So let's talk about your data center at the track, if you will, I mean, if I can call it that. Paint a picture for us. >> Sure. What does that look like? >> So we have to send a lot of equipment to the track, at the edge. And even though we have really a great lateral network link back to the factory and there's cloud resources, a lot of the tracks are very old. You don't have hardened infrastructure, you don't have docks that protect cabling, for example, and you can lose connectivity to remote locations. So the applications we need to operate the car and to make really critical decisions, all that needs to be at the edge where the car operates. So historically we had three racks of equipment, legacy infrastructure and it was really hard to manage, to make changes, it was too inflexible. There were multiple panes of glass, and it was too slow. It didn't run our applications quickly. It was also too heavy and took up too much space when you're cramped into a garage with lots of environmental constraints. So we'd introduced hyper-convergence into the factory and seen a lot of great benefits. And when we came time to refresh our infrastructure at the track, we stepped back and said there's a lot smarter way of operating. We can get rid of all this slow and inflexible expensive legacy and introduce hyper-convergence. And we saw really excellent benefits for doing that. We saw a three X speed up for a lot of our applications. So here where we're post-processing data, and we have to make decisions about race strategy, time is of the essence and a three X reduction in processing time really matters. We also were able to go from three racks of equipment down to two racks of equipment and the storage efficiency of the HPE SimpliVity platform with 20 to one ratios allowed us to eliminate a rack. And that actually saved a $100,000 a year in freight costs by shipping less equipment. Things like backup, mistakes happen. Sometimes a user makes a mistake. So for example a race engineer could load the wrong data map into one of our simulations. And we could restore that DDI through SimpliVity backup in 90 seconds. And this makes sure, enables engineers to focus on the car, to make better decisions without having downtime. And we send two IT guys to every race. They're managing 60 users, a really diverse environment, juggling a lot of balls and having a simple management platform like HP SimpliVity gives us, allows them to be very effective and to work quickly. So all of those benefits were a huge step forward relative to the legacy infrastructure that we used to run at the edge. >> Yes, so you had the nice Petri dish in the factory, so it sounds like your goals obviously, number one KPI is speed to help shave seconds off the time, but also cost. >> That's right. Just the simplicity of setting up the infrastructure is key. >> Yeah, that's exactly right. >> It's speed, speed, speed. So we want applications that absolutely fly, you know gets actionable results quicker, get answers from our simulations quicker. The other area that speed's really critical is our applications are also evolving prototypes and we're always, the models are getting bigger, the simulations are getting bigger, and they need more and more resource. And being able to spin up resource and provision things without being a bottleneck is a big challenge. And SimpliVity gives us the means of doing that. >> So did you consider any other options or was it because you had the factory knowledge, HCI was, you know, very clearly the option? What did you look at? >> Yeah, so we have over five years of experience in the factory and we eliminated all of our legacy infrastructure five years ago. And the benefits I've described at the track we saw that in the factory. At the track, we have a three-year operational life cycle for our equipment. 2017 was the last year we had legacy. As we were building for 2018, it was obvious that hyper-converged was the right technology to introduce. And we'd had years of experience in the factory already. And the benefits that we see with hyper-converged actually mattered even more at the edge because our operations are so much more pressurized. Time is even more of the essence. And so speeding everything up at the really pointy end of our business was really critical. It was an obvious choice. >> So why SimpliVity? Why do you choose HPE SimpliVity? >> Yeah, so when we first heard about hyper-converged, way back in the factory. We had a legacy infrastructure, overly complicated, too slow, too inflexible, too expensive. And we stepped back and said there has to be a smarter way of operating. We went out and challenged our technology partners. We learned about hyper-convergence. We didn't know if the hype was real or not. So we underwent some PLCs and benchmarking and the PLCs were really impressive. And all these, you know, speed and agility benefits we saw and HPE for our use cases was the clear winner in the benchmarks. So based on that we made an initial investment in the factory. We moved about 150 VMs and 150 VDIs into it. And then as we've seen all the benefits we've successfully invested, and we now have an estate in the factory of about 800 VMs and about 400 VDIs. So it's been a great platform and it's allowed us to really push boundaries and give the business the service it expects. >> Well that's a fun story. So just coming back to the metrics for a minute. So you're running Monte Carlo simulations in real-time and sort of near real-time. >> Yeah. And so essentially that's, if I understand it, that's what-ifs and it's the probability of the outcome. And then somebody's got to make, >> Exactly. then a human's got to say, okay, do this, right. And so was that, >> Yeah. with the time in which you were able to go from data to insight to recommendation or edict was that compressed? You kind of indicated that, but. >> Yeah, that was accelerated. And so in that use case, what we're trying to do is predict the future and you're saying well, and before any event happens, you're doing what-ifs. Then if it were to happen, what would you probabilistically do? So, you know, so that simulation we've been running for a while but it gets better and better as we get more knowledge. And so that we were able to accelerate that with SimpliVity. But there's other use cases too. So we offload telemetry from the car and we post-process it. And that reprocessing time really is very time consuming. And, you know, we went from nine, eight minutes for some of the simulations down to just two minutes. So we saw big, big reductions in time. And ultimately that meant an engineer could understand what the car was doing in a practice session, recommend a tweak to the configuration or setup of it, and just get more actionable insight quicker. And it ultimately helps get a better car quicker. >> Such a great example. How are you guys feeling about the season, Matt? What's the team's, the sentiment? >> Yeah, I think we're optimistic. We with thinking our simulations that we have a great car. We have a new driver lineup. We have Max Verstappen who carries on with the team and Sergio Perez joins the team. So we're really excited about this year and we want to go and win races. And I think with COVID people are just itching also to get back to a little degree of normality, and, you know, and going racing again, even though there's no fans, it gets us into a degree of normality. >> That's great, Matt, good luck this season and going forward and thanks so much for coming back in theCUBE. Really appreciate it. >> It's my pleasure. Great talking to you again. >> Okay, now we're going to bring back Omar for a quick summary. So keep it right there. (mellow music)