(inspiring music) >> Announcer: theCUBE presents HPE Discover 2022. Brought to you by HPE. >> Welcome back to theCUBE's coverage of HPE Discover 2022, from the Venetian in Las Vegas, the first Discover since 2019. I really think this is my 14th Discover, when you include HP, when you include Europe. And I got to say this Discover, I think has more energy than any one that I've ever seen, about 8,000 people here. Really excited to have one of HPE's longstanding partners, Veeam CTO, Danny Allen is here, joined by David Harvey, Vice President of Strategic Alliances at Veeam. Guys, good to see you again. It was just earlier, let's see, last month, we were together out here. >> Yeah, just a few weeks ago. It's fantastic to be back and what it's telling us, technology industry is coming back. >> And the events business, of course, is coming back, which we love. I think the expectations were cautious. You saw it at VeeamON, a little more than you expected, a lot of great energy. A lot of people, 'cause it was last month, it was their first time out, >> Yes. >> in two years. Here, I think people have started to go out more, but still, an energy that's palpable. >> You can definitely feel it. Last night, I think I went to four consecutive events and everyone's out having those discussions and having conversations, it's good to be back. >> You guys hosted the Storage party last night, which is epic. I left at midnight, I took a picture, it was still packed. I said, okay, time to go, nothing good happens after midnight kids. David, talk about the alliance with HPE, how it's evolved, and where you see it going? >> I appreciate it, and certainly this, as you said, has been a big alliance for us. Over 10 years or so, fantastic integrations across the board. And you touched on 2019 Discover. We launched with GreenLake at that event, we were one of the launch partners, and we've seen fantastic growth. Overall, what we're excited about, is that continuation of the movement of the customer's buying patterns in line with HPE's portfolio and in line with Veeam. We continue to be with all their primary, secondary storage, we continue to be a spearhead position with GreenLake, which we're really excited about. And we're also really excited to hear from HPE, unfortunately under NDA, some of their future stuff they're investing in, which is a really nice invigoration for what they're doing for their portfolio. And we see that being a big deal for us over the next 24 months. >> Your relationship with HPE predates the HP, HPE split. >> Mmm. >> Yes. >> But it was weird, because they had Data Protector, and that was a quasi-competitor, or really not, but it was a competitor, a legacy competitor, of what you guys have, kind of modern data protection I think is the tagline, if I got it right. Post the split, that was an S-curve moment, wasn't it, in terms of the partnership? >> It really was. If you go back 10 years, we did our first integration sending data to StoreOnce and we had some blueprints around that. But now, if you look what we have, we have integrations on the primary side, so, 3PAR, Primera, Nimble, all their top-tier storage, we can manage the snapshots. We have integration on the target side. We integrate with Catalyst in the movement of data and the management of data. And, as David alluded to, we integrate with GreenLake. So, customers who want to take this as a consumption model, we integrate with that. And so it's been, like you said, the strongest relationship that we have on the technology alliance side. >> So, V12, you announced at VeeamON. What does that mean for HPE customers, the relationship? Maybe you guys could both talk about that. >> Technology side, to touch on a few things that we're doing with them, ransomware has been a huge issue. Security's been a big theme, obviously, at the conference, >> Dave: Yeah, you bet. and one of the things we're doing in V12 is adding immutability for both StoreOnce and StoreEver. So, we take the features that our partners have, immutability being big in the security space, and we integrate that fully into the product. So a customer checks a box and says, hey, I want to make sure that the data is secure. >> Yeah, and also, it's another signification about the relationship. Every single release we've done has had HPE at the heart of it, and the same thing is being said with V12. And it shows to our customers, the continual commitment. Relationships come and go. They're hard, and the great news is, 10 years has proven that we get through good times and tricky situations, and we both continue to invest, et cetera. And I think there's a lot of peace of mind and the revenue figures prove that, which is what we're really excited about. >> Yeah I want to come back to that, but just to follow up, Danny, on that immutability, that's a feature that you check? It's service within GreenLake, or within Veeam? How does that all work? >> We have immutability now depending on the target. We introduced the ability to send data, for example, into S3 two years ago, and make it immutable when you send it to an S3 or S3 compatible environment. We added, in Version 11, the ability to take a Linux repository and make it, and harden it, essentially make it immutable. But what we're doing now is taking our partner systems like StoreOnce, like StoreEver, and when we send data there, we take advantage of an API flag or whatever it happens to be, that it makes the data, when it's written to that system, can't be deleted, can't be encrypted. Now, what does that mean for a customer? Well, we do all the hard work in the back end, it's just a check box. They say, I want to make it immutable, and we manage how long it's immutable. Because if you made everything immutable forever, that's hugely expensive, right? So, it's all about, how long is that immutable before you age it out and make sure the new data coming in is immutable. >> Dave: It's like an insurance policy, you have that overlap. >> Yes. >> Right, okay. And then David, you mentioned the revenue, Lou bears that out. I got the IDC guys comin' on later on today. I'll ask 'em about that, if that's their swim lane. But you guys are basically a statistical tie, with Dell for number one? Am I getting that right? And you're growing at a faster rate, I believe, it's hard to tell 'cause I don't think Dell reports on the pace of its growth within data protection. You guys obviously do, but is that right? It's a statistical tie, is it? >> Yeah, hundred percent. >> Yeah, statistical tie for first place, which we're super excited about. When I joined Veeam, I think we were in fifth place, but we've been in the leader's quadrant of the Gartner Magic- >> Cause and effect there or? (panelists laughing) >> No, I don't think so. >> Dave: Ha, I think maybe. >> We've been on a great trajectory. But statistical tie for first place, greatest growth sequentially, and year-over-year, of all of the data protection vendors. And that's a testament not just to the technology that we're doing, but partnerships with HPE, because you never do this, the value of a technology is not that technology alone, it's the value of that technology within the ecosystem. And so that's why we're here at HPE Discover. It's our joint technology solutions that we're delivering. >> What are your thoughts or what are you seeing in the field on As-a-service? Because of course, the messaging is all about As-a-service, you'd think, oh, a hundred percent of everything is going to be As-a-service. A lot of customers, they don't mind CapEx, they got good, balance sheet, and they're like, hey, we'll take care of this, and, we're going to build our own little internal cloud. But, what are you seeing in the market in terms of As-a-service, versus, just traditional licensing models? >> Certainly, there's a mix between the two. What I'd say, is that sources that are already As-a-service, think Microsoft 365, think AWS, Azure, GCP, the cloud providers. There's a natural tendency for the customer to want the data protection As-a-service, as well for those. But if you talk about what's on premises, customers who have big data centers deployed, they're not yet, the pendulum has not shifted for that to be data protection As-a-service. But we were early to this game ourselves. We have 10,000, what we call, Veeam Cloud Service Providers, that are offering data protection As-a-service, whether it be on premises, so they're remotely managing it, or cloud hosted, doing data protection for that. >> So, you don't care. You're providing the technology, and then your customers are actually choosing the delivery model. Is that correct? >> A hundred percent, and if you think about what GreenLake is doing for example, that started off as being a financial model, but now they're getting into that services delivery. And what we want to do is enable them to deliver it, As-a-service, not just the financial model, but the outcome for the customer. And so our technology, it's not just do backup, it's do backup for a multi-tenant, multi-customer environment that does all of the multi-tenancy and billing and charge back as part of that service. >> Okay, so you guys don't report on this, but I'm going to ask the question anyway. You're number one now, let's call you, let's declare number one, 'cause we're well past that last reporting and you're growin' faster. So go another quarter, you're now number one, so you're the largest. Do you spend more on R&D in data protection than any other company? >> Yes, I'm quite certain that we do. Now, we have an unfair advantage because we have 450,000 customers. I don't think there's any other data protection company out there, the size and scope and scale, that we have. But we've been expanding, our largest R&D operation center's in Prague, it's in Czech Republic, but we've been expanding that. Last year it grew 40% year on year in R&D, so big investment in that space. You can see this just through our product space. Five years ago, we did data protection of VMware only, and now we do all the virtual environments, all the physical environments, all the major cloud environments, Kubernetes, Microsoft 365, we're launching Salesforce. We announced that at VeeamON last month and it will be coming out in Q3. All of that is coming from our R&D investments. >> A lot of people expect that when a company like Insight, a PE company, purchases a company like Veeam, that one of the things they'll dial down is R&D. That did not happen in this case. >> No, they very much treat us as a growth company. We had 22% year-over-year growth in 2020, and 25% year-over-year last year. The growth has been tremendous, they continue to give us the freedom. Now, I expect they'll want returns like that continuously, but we have been delivering, they have been investing. >> One of my favorite conversations of the year was our supercloud conversation, which was awesome, thank you for doing that with me. But that's clearly an area of focus, what we call supercloud, and you don't use that term, I know, you do sometimes, but it's not your marketing, I get that. But that is an R&D intensive effort, is it not? To create that common experience. And you see HPE, attempting to do that as well, across all these different estates. >> A hundred percent. We focus on three things, I always say, our differentiators, simplicity, flexibility, and reliability. Making it simple for the customers is not an easy thing to do. Making that checkbox for immutability? We have to do a lot behind the scenes to make it simple. Same thing on flexibility. We don't care if they're using 3PAR, Primera, Nimble, whatever you want to choose as the primary storage, we will take that out of your hands and make it really easy. You mentioned supercloud. We don't care what the cloud infrastructure, it can be on GreenLake, it can be on AWS, can be on Azure, it can be on GCP, it can be on IBM cloud. It is a lot of effort on our part to abstract the cloud infrastructure, but we do that on behalf of our customers to take away that complexity, it's part of our platform. >> Quick follow-up, and then I want to ask a question of David. I like talking to you guys because you don't care where it is, right? You're truly agnostic to it all. I'm trying to figure out this repatriation thing, cause I hear a lot of hey, Dave, you should look into repatriation that's happened all over the place, and I see pockets of it. What are you seeing in terms of repatriation? Have customers over-rotated to the cloud and now they're pullin' back a little bit? Or is it, as I'm claiming, in pockets? What's your visibility on that? >> Three things I see happening. There's the customers who lifted up their data center, moved it into the cloud and they get the first bill. >> (chuckling) Okay. >> And they will repatriate, there's no question. If I talk to those customers who simply lifted up and moved it over because the CIO told them to, they're moving it back on premises. But a second thing that we see is people moving it over, with tweaks. So they'll take their SQL server database and they'll move it into RDS, they'll change some things. And then you have people who are building cloud-native, they're never coming back on premises, they are building it for the cloud environment. So, we see all three of those. We only really see repatriation on that first scenario, when they get that first bill. >> And when you look at the numbers, I think it gets lost, 'cause you see the cloud is growing so fast. So David, what are the conversations like? You had several events last night, The Veeam party, slash Storage party, from HPE. What are you hearing from your alliance partners and the customers at the event. >> I think Danny touched on that point, it's about philosophy of evolution. And I think at the end of the day, whether we're seeing it with our GSI alliances we've got out there, or with the big enterprise conversations we're having with HPE, it's about understanding which workloads they want to move. In our mind, the customers are getting much smarter in making that decision, rather than experimenting. They're really taking a really solid look. And the work we're doing with the GSIs on workplace modernization, data center transformation, they're really having that investment work up front on the workloads, to be able to say, this works for me, for my personality and my company. And so, to the point about movement, it's more about decisive decision at the start, and not feeling like the remit is, I have to do one thing or another, it's about looking at that workflow position. And that's what we've seen with the revenue part as well. We've seen our movement to GreenLake tremendously grow in the last 18 months to two years. And from our GSI work as well, we're seeing the types of conversations really focus on that workload, compared to, hey, I just need a backup solution, and that's really exciting. >> Are you having specific conversations about security, or is it a data protection conversation still, (David chuckles) that's an adjacency to security? >> That's a great question. And I think it's a complex one, because if you come to a company like Veeam, we are there, and you touched on it before, we provide a solution when something has happened with security. We're not doing intrusion detection, we're not doing that barrier position at the end of it, but it's part of an end-to-end assumption. And I don't think that at this particular point, I started in security with RSA and Check Point, it was about layers of protection. Now it's layers of protection, and the inevitability that at some point something will happen, so about the recovery. So the exciting conversations we're having, especially with the big enterprises, is not about the fear factor, it's about, at some point something's going to occur. Speed of recovery is the conversation. And so for us, and your question is, are they talking to us about security, or more, the continuity position? And that's where the synergy's getting a lot simpler, rather than a hard demark between security and backup. >> Yeah, when you look at the stock market, everything's been hit, but security, with the exception of Okta, 'cause it got that weird benign hack, but security, generally, is an area that CIOs have said, hey, we can't really dial that back. We can maybe, some other discretionary stuff, we'll steal and prioritize. But security seems to be, and I think data protection is now part of that discussion. You're not a security company. We've seen some of your competitors actually pivot to become security companies. You're not doing that, but it's very clearly an adjacency, don't you think? >> It's an adjacency, and it's a new conversation that we're having with the Chief Information Security Officer. I had a meeting an hour ago with a customer who was hit by ransomware, and they got the call at 2:00 AM in the morning, after the ransomware they recovered their entire portfolio within 36 hours, from backups. Didn't even contact Veeam, I found out during this meeting. But that is clearly something that the Chief Information Security Officer wants to know about. It's part of his purview, is the recovery of that data. >> And they didn't pay the ransom? >> And they did not pay the ransom, not a penny. >> Ahh, we love those stories. Guys, thanks so much for coming on theCUBE. Congratulations on all the success. Love when you guys come on, and it was such a fun event at VeeamON. Great event here, and your presence is, was seen. The Veeam green is everywhere, so appreciate your time. >> Thank you. >> Thanks, Dave. >> Okay, and thank you for watching. This is Dave Vellante for John Furrier and Lisa Martin. We'll be back right after this short break. You're watching theCUBE's coverage of HPE Discover 2022, from Las Vegas. (inspiring music)

>>Everyone wants a cloud operating model. Since the introduction of the modern cloud. Last decade, the entire technology landscape has changed. We've learned a lot from the hyperscalers, especially from AWS. Now, one thing is certain in the technology business. It's so competitive. Then if a faster, better, cheaper idea comes along, the industry will move quickly to adopt it. They'll add their unique value and then they'll bring solutions to the market. And that's precisely what's happening throughout the technology industry because of cloud. And one of the best examples is Amazon's nitro. That's AWS has custom built hypervisor that delivers on the promise of more efficiently using resources and expanding things like processor, optionality for customers. It's a secret weapon for Amazon. As, as we, as we wrote last year, every infrastructure company needs something like nitro to compete. Why do we say this? Well, Wiki Bon our research arm estimates that nearly 30% of CPU cores in the data center are wasted. >>They're doing work that they weren't designed to do well, specifically offloading networking, storage, and security tasks. So if you can eliminate that waste, you can recapture dollars that drop right to the bottom line. That's why every company needs a nitro like solution. As a result of these developments, customers are rethinking networks and how they utilize precious compute resources. They can't, or won't put everything into the public cloud for many reasons. That's one of the tailwinds for tier two cloud service providers and why they're growing so fast. They give options to customers that don't want to keep investing in building out their own data centers, and they don't want to migrate all their workloads to the public cloud. So these providers and on-prem customers, they want to be more like hyperscalers, right? They want to be more agile and they do that. They're distributing, networking and security functions and pushing them closer to the applications. >>Now, at the same time, they're unifying their view of the network. So it can be less fragmented, manage more efficiently with more automation and better visibility. How are they doing this? Well, that's what we're going to talk about today. Welcome to changing the game for cloud networking made possible by pluribus networks. My name is Dave Vellante and today on this special cube presentation, John furrier, and I are going to explore these issues in detail. We'll dig into new solutions being created by pluribus and Nvidia to specifically address offloading, wasted resources, accelerating performance, isolating data, and making networks more secure all while unifying the network experience. We're going to start on the west coast and our Palo Alto studios, where John will talk to Mike of pluribus and AMI, but Donnie of Nvidia, then we'll bring on Alessandra Bobby airy of pluribus and Pete Lummus from Nvidia to take a deeper dive into the technology. And then we're gonna bring it back here to our east coast studio and get the independent analyst perspective from Bob Liberte of the enterprise strategy group. We hope you enjoy the program. Okay, let's do this over to John >>Okay. Let's kick things off. We're here at my cafe. One of the TMO and pluribus networks and NAMI by Dani VP of networking, marketing, and developer ecosystem at Nvidia. Great to have you welcome folks. >>Thank you. Thanks. >>So let's get into the, the problem situation with cloud unified network. What problems are out there? What challenges do cloud operators have Mike let's get into it. >>Yeah, it really, you know, the challenges we're looking at are for non hyperscalers that's enterprises, governments, um, tier two service providers, cloud service providers, and the first mandate for them is to become as agile as a hyperscaler. So they need to be able to deploy services and security policies. And second, they need to be able to abstract the complexity of the network and define things in software while it's accelerated in hardware. Um, really ultimately they need a single operating model everywhere. And then the second thing is they need to distribute networking and security services out to the edge of the host. Um, we're seeing a growth in cyber attacks. Um, it's, it's not slowing down. It's only getting worse and, you know, solving for this security problem across clouds is absolutely critical. And the way to do it is to move security out to the host. >>Okay. With that goal in mind, what's the pluribus vision. How does this tie together? >>Yeah. So, um, basically what we see is, uh, that this demands a new architecture and that new architecture has four tenants. The first tenant is unified and simplified cloud networks. If you look at cloud networks today, there's, there's sort of like discreet bespoke cloud networks, you know, per hypervisor, per private cloud edge cloud public cloud. Each of the public clouds have different networks that needs to be unified. You know, if we want these folks to be able to be agile, they need to be able to issue a single command or instantiate a security policy across all those locations with one command and not have to go to each one. The second is like I mentioned, distributed security, um, distributed security without compromise, extended out to the host is absolutely critical. So micro-segmentation and distributed firewalls, but it doesn't stop there. They also need pervasive visibility. >>You know, it's, it's, it's sort of like with security, you really can't see you can't protect what you can't see. So you need visibility everywhere. The problem is visibility to date has been very expensive. Folks have had to basically build a separate overlay network of taps, packet brokers, tap aggregation infrastructure that really needs to be built into this unified network I'm talking about. And the last thing is automation. All of this needs to be SDN enabled. So this is related to my comment about abstraction abstract, the complexity of all of these discreet networks, physic whatever's down there in the physical layer. Yeah. I don't want to see it. I want to abstract it. I wanted to find things in software, but I do want to leverage the power of hardware to accelerate that. So that's the fourth tenant is SDN automation. >>Mike, we've been talking on the cube a lot about this architectural shift and customers are looking at this. This is a big part of everyone who's looking at cloud operations next gen, how do we get there? How do customers get this vision realized? >>That's a great question. And I appreciate the tee up. I mean, we're, we're here today for that reason. We're introducing two things today. Um, the first is a unified cloud networking vision, and that is a vision of where pluribus is headed with our partners like Nvidia longterm. Um, and that is about, uh, deploying a common operating model, SDN enabled SDN, automated hardware, accelerated across all clouds. Um, and whether that's underlying overlay switch or server, um, hype, any hypervisor infrastructure containers, any workload doesn't matter. So that's ultimately where we want to get. And that's what we talked about earlier. Um, the first step in that vision is what we call the unified cloud fabric. And this is the next generation of our adaptive cloud fabric. Um, and what's nice about this is we're not starting from scratch. We have a, a, an award-winning adaptive cloud fabric product that is deployed globally. Um, and in particular, uh, we're very proud of the fact that it's deployed in over a hundred tier one mobile operators as the network fabric for their 4g and 5g virtualized cores. We know how to build carrier grade, uh, networking infrastructure, what we're doing now, um, to realize this next generation unified cloud fabric is we're extending from the switch to this Nvidia Bluefield to DPU. We know there's a, >>Hold that up real quick. That's a good, that's a good prop. That's the blue field and video. >>It's the Nvidia Bluefield two DPU data processing unit. And, um, uh, you know, what we're doing, uh, fundamentally is extending our SDN automated fabric, the unified cloud fabric out to the host, but it does take processing power. So we knew that we didn't want to do, we didn't want to implement that running on the CPU, which is what some other companies do because it consumes revenue generating CPU's from the application. So a DPU is a perfect way to implement this. And we knew that Nvidia was the leader with this blue field too. And so that is the first that's, that's the first step in the getting into realizing this vision. >>I mean, Nvidia has always been powering some great workloads of GPU. Now you've got DPU networking and then video is here. What is the relationship with clothes? How did that come together? Tell us the story. >>Yeah. So, you know, we've been working with pluribus for quite some time. I think the last several months was really when it came to fruition and, uh, what pluribus is trying to build and what Nvidia has. So we have, you know, this concept of a Bluefield data processing unit, which if you think about it, conceptually does really three things, offload, accelerate an isolate. So offload your workloads from your CPU to your data processing unit infrastructure workloads that is, uh, accelerate. So there's a bunch of acceleration engines. So you can run infrastructure workloads much faster than you would otherwise, and then isolation. So you have this nice security isolation between the data processing unit and your other CPU environment. And so you can run completely isolated workloads directly on the data processing unit. So we introduced this, you know, a couple of years ago, and with pluribus, you know, we've been talking to the pluribus team for quite some months now. >>And I think really the combination of what pluribus is trying to build and what they've developed around this unified cloud fabric, uh, is fits really nicely with the DPU and running that on the DPU and extending it really from your physical switch, all the way to your host environment, specifically on the data processing unit. So if you think about what's happening as you add data processing units to your environment. So every server we believe over time is going to have data processing units. So now you'll have to manage that complexity from the physical network layer to the host layer. And so what pluribus is really trying to do is extending the network fabric from the host, from the switch to the host, and really have that single pane of glass for network operators to be able to configure provision, manage all of the complexity of the network environment. >>So that's really how the partnership truly started. And so it started really with extending the network fabric, and now we're also working with them on security. So, you know, if you sort of take that concept of isolation and security isolation, what pluribus has within their fabric is the concept of micro-segmentation. And so now you can take that extended to the data processing unit and really have, um, isolated micro-segmentation workloads, whether it's bare metal cloud native environments, whether it's virtualized environments, whether it's public cloud, private cloud hybrid cloud. So it really is a magical partnership between the two companies with their unified cloud fabric running on, on the DPU. >>You know, what I love about this conversation is it reminds me of when you have these changing markets, the product gets pulled out of the market and, and you guys step up and create these new solutions. And I think this is a great example. So I have to ask you, how do you guys differentiate what sets this apart for customers with what's in it for the customer? >>Yeah. So I mentioned, you know, three things in terms of the value of what the Bluefield brings, right? There's offloading, accelerating, isolating, that's sort of the key core tenants of Bluefield. Um, so that, you know, if you sort of think about what, um, what Bluefields, what we've done, you know, in terms of the differentiation, we're really a robust platform for innovation. So we introduced Bluefield to, uh, last year, we're introducing Bluefield three, which is our next generation of Bluefields, you know, we'll have five X, the arm compute capacity. It will have 400 gig line rate acceleration, four X better crypto acceleration. So it will be remarkably better than the previous generation. And we'll continue to innovate and add, uh, chips to our portfolio every, every 18 months to two years. Um, so that's sort of one of the key areas of differentiation. The other is the, if you look at Nvidia and, and you know, what we're sort of known for is really known for our AI artificial intelligence and our artificial intelligence software, as well as our GPU. >>So you look at artificial intelligence and the combination of artificial intelligence plus data processing. This really creates the, you know, faster, more efficient, secure AI systems from the core of your data center, all the way out to the edge. And so with Nvidia, we really have these converged accelerators where we've combined the GPU, which does all your AI processing with your data processing with the DPU. So we have this convergence really nice convergence of that area. And I would say the third area is really around our developer environment. So, you know, one of the key, one of our key motivations at Nvidia is really to have our partner ecosystem, embrace our technology and build solutions around our technology. So if you look at what we've done with the DPU, with credit and an SDK, which is an open SDK called Doka, and it's an open SDK for our partners to really build and develop solutions using Bluefield and using all these accelerated libraries that we expose through Doka. And so part of our differentiation is really building this open ecosystem for our partners to take advantage and build solutions around our technology. >>You know, what's exciting is when I hear you talk, it's like you realize that there's no one general purpose network anymore. Everyone has their own super environment Supercloud or these new capabilities. They can really craft their own, I'd say, custom environment at scale with easy tools. Right. And it's all kind of, again, this is the new architecture Mike, you were talking about, how does customers run this effectively? Cost-effectively and how do people migrate? >>Yeah, I, I think that is the key question, right? So we've got this beautiful architecture. You, you know, Amazon nitro is a, is a good example of, of a smart NIC architecture that has been successfully deployed, but enterprises and serve tier two service providers and tier one service providers and governments are not Amazon, right? So they need to migrate there and they need this architecture to be cost-effective. And, and that's, that's super key. I mean, the reality is deep user moving fast, but they're not going to be, um, deployed everywhere on day one. Some servers will have DPS right away, some servers will have use and a year or two. And then there are devices that may never have DPS, right. IOT gateways, or legacy servers, even mainframes. Um, so that's the beauty of a solution that creates a fabric across both the switch and the DPU, right. >>Um, and by leveraging the Nvidia Bluefield DPU, what we really like about it is it's open. Um, and that drives, uh, cost efficiencies. And then, um, uh, you know, with this, with this, our architectural approach effectively, you get a unified solution across switch and DPU workload independent doesn't matter what hypervisor it is, integrated visibility, integrated security, and that can, uh, create tremendous cost efficiencies and, and really extract a lot of the expense from, from a capital perspective out of the network, as well as from an operational perspective, because now I have an SDN automated solution where I'm literally issuing a command to deploy a network service or to create or deploy our security policy and is deployed everywhere, automatically saving the oppor, the network operations team and the security operations team time. >>All right. So let me rewind that because that's super important. Get the unified cloud architecture, I'm the customer guy, but it's implemented, what's the value again, take, take me through the value to me. I have a unified environment. What's the value. >>Yeah. So I mean, the value is effectively, um, that, so there's a few pieces of value. The first piece of value is, um, I'm creating this clean D mark. I'm taking networking to the host. And like I mentioned, we're not running it on the CPU. So in implementations that run networking on the CPU, there's some conflict between the dev ops team who owned the server and the NetApps team who own the network because they're installing software on the, on the CPU stealing cycles from what should be revenue generating. Uh CPU's. So now by, by terminating the networking on the DPU, we click create this real clean DMARC. So the dev ops folks are happy because they don't necessarily have the skills to manage network and they don't necessarily want to spend the time managing networking. They've got their network counterparts who are also happy the NetApps team, because they want to control the networking. >>And now we've got this clean DMARC where the DevOps folks get the services they need and the NetApp folks get the control and agility they need. So that's a huge value. Um, the next piece of value is distributed security. This is essential. I mentioned earlier, you know, put pushing out micro-segmentation and distributed firewall, basically at the application level, right, where I create these small, small segments on an by application basis. So if a bad actor does penetrate the perimeter firewall, they're contained once they get inside. Cause the worst thing is a bad actor, penetrates a perimeter firewall and can go wherever they want and wreak havoc. Right? And so that's why this, this is so essential. Um, and the next benefit obviously is this unified networking operating model, right? Having, uh, uh, uh, an operating model across switch and server underlay and overlay, workload agnostic, making the life of the NetApps teams much easier so they can focus their time on really strategy instead of spending an afternoon, deploying a single villain, for example. >>Awesome. And I think also from my standpoint, I mean, perimeter security is pretty much, I mean, they're out there, it gets the firewall still out there exists, but pretty much they're being breached all the time, the perimeter. So you have to have this new security model. And I think the other thing that you mentioned, the separation between dev ops is cool because the infrastructure is code is about making the developers be agile and build security in from day one. So this policy aspect is, is huge. Um, new control points. I think you guys have a new architecture that enables the security to be handled more flexible. >>Right. >>That seems to be the killer feature here, >>Right? Yeah. If you look at the data processing unit, I think one of the great things about sort of this new architecture, it's really the foundation for zero trust it's. So like you talked about the perimeter is getting breached. And so now each and every compute node has to be protected. And I think that's sort of what you see with the partnership between pluribus and Nvidia is the DPU is really the foundation of zero trust. And pluribus is really building on that vision with, uh, allowing sort of micro-segmentation and being able to protect each and every compute node as well as the underlying network. >>This is super exciting. This is an illustration of how the market's evolving architectures are being reshaped and refactored for cloud scale and all this new goodness with data. So I gotta ask how you guys go into market together. Michael, start with you. What's the relationship look like in the go to market with an Nvidia? >>Sure. Um, I mean, we're, you know, we're super excited about the partnership, obviously we're here together. Um, we think we've got a really good solution for the market, so we're jointly marketing it. Um, uh, you know, obviously we appreciate that Nvidia is open. Um, that's, that's sort of in our DNA, we're about open networking. They've got other ISV who are gonna run on Bluefield too. We're probably going to run on other DPS in the, in the future, but right now, um, we're, we feel like we're partnered with the number one, uh, provider of DPS in the world and, uh, super excited about, uh, making a splash with it. >>I'm in get the hot product. >>Yeah. So Bluefield too, as I mentioned was GA last year, we're introducing, uh, well, we now also have the converged accelerator. So I talked about artificial intelligence or artificial intelligence with the Bluefield DPU, all of that put together on a converged accelerator. The nice thing there is you can either run those workloads. So if you have an artificial intelligence workload and an infrastructure workload, you can warn them separately on the same platform or you can actually use, uh, you can actually run artificial intelligence applications on the Bluefield itself. So that's what the converged accelerator really brings to the table. Uh, so that's available now. Then we have Bluefield three, which will be available late this year. And I talked about sort of, you know, uh, how much better that next generation of Bluefield is in comparison to Bluefield two. So we will see Bluefield three shipping later on this year, and then our software stack, which I talked about, which is called Doka we're on our second version are Doka one dot two. >>We're releasing Doka one dot three, uh, in about two months from now. And so that's really our open ecosystem framework. So allow you to program the Bluefields. So we have all of our acceleration libraries, um, security libraries, that's all packed into this STK called Doka. And it really gives that simplicity to our partners to be able to develop on top of Bluefield. So as we add new generations of Bluefield, you know, next, next year, we'll have, you know, another version and so on and so forth Doka is really that unified unified layer that allows, um, Bluefield to be both forwards compatible and backwards compatible. So partners only really have to think about writing to that SDK once, and then it automatically works with future generations of Bluefields. So that's sort of the nice thing around, um, around Doka. And then in terms of our go to market model, we're working with every, every major OEM. So, uh, later on this year, you'll see, you know, major server manufacturers, uh, releasing Bluefield enabled servers. So, um, more to come >>Awesome, save money, make it easier, more capabilities, more workload power. This is the future of, of cloud operations. >>Yeah. And, and, and, uh, one thing I'll add is, um, we are, um, we have a number of customers as you'll hear in the next segment, um, that are already signed up and we'll be working with us for our, uh, early field trial starting late April early may. Um, we are accepting registrations. You can go to www.pluribusnetworks.com/e F T a. If you're interested in signing up for, um, uh, being part of our field trial and providing feedback on the product, >>Awesome innovation and network. Thanks so much for sharing the news. Really appreciate it. Thanks so much. Okay. In a moment, we'll be back to look deeper in the product, the integration security zero trust use cases. You're watching the cube, the leader in enterprise tech coverage, >>Cloud networking is complex and fragmented slowing down your business. How can you simplify and unify your cloud networks to increase agility and business velocity? >>Pluribus unified cloud networking provides a unified simplify and agile network fabric across all clouds. It brings the simplicity of a public cloud operation model to private clouds, dramatically reducing complexity and improving agility, availability, and security. Now enterprises and service providers can increase their business philosophy and delight customers in the distributed multi-cloud era. We achieve this with a new approach to cloud networking, pluribus unified cloud fabric. This open vendor, independent network fabric, unifies, networking, and security across distributed clouds. The first step is extending the fabric to servers equipped with data processing units, unifying the fabric across switches and servers, and it doesn't stop there. The fabric is unified across underlay and overlay networks and across all workloads and virtualization environments. The unified cloud fabric is optimized for seamless migration to this new distributed architecture, leveraging the power of the DPU for application level micro-segmentation distributed fireball and encryption while still supporting those servers and devices that are not equipped with a DPU. Ultimately the unified cloud fabric extends seamlessly across distributed clouds, including central regional at edge private clouds and public clouds. The unified cloud fabric is a comprehensive network solution. That includes everything you need for clouds, networking built in SDN automation, distributed security without compromises, pervasive wire speed, visibility and application insight available on your choice of open networking switches and DP use all at the lowest total cost of ownership. The end result is a dramatically simplified unified cloud networking architecture that unifies your distributed clouds and frees your business to move at cloud speed, >>To learn more, visit www.pluribusnetworks.com. >>Okay. We're back I'm John ferry with the cube, and we're going to go deeper into a deep dive into unified cloud networking solution from Clovis and Nvidia. And we'll examine some of the use cases with Alessandra Burberry, VP of product management and pullovers networks and Pete Bloomberg who's director of technical marketing and video remotely guys. Thanks for coming on. Appreciate it. >>Yeah. >>So deep dive, let's get into the what and how Alexandra we heard earlier about the pluribus Nvidia partnership and the solution you're working together on what is it? >>Yeah. First let's talk about the water. What are we really integrating with the Nvidia Bluefield, the DPO technology, uh, plugable says, um, uh, there's been shipping, uh, in, uh, in volume, uh, in multiple mission critical networks. So this advisor one network operating systems, it runs today on a merchant silicone switches and effectively it's a standard open network operating system for data center. Um, and the novelty about this system that integrates a distributed control plane for, at water made effective in SDN overlay. This automation is a completely open and interoperable and extensible to other type of clouds is not enclosed them. And this is actually what we're now porting to the Nvidia DPO. >>Awesome. So how does it integrate into Nvidia hardware and specifically how has pluribus integrating its software with the Nvidia hardware? >>Yeah, I think, uh, we leverage some of the interesting properties of the Bluefield, the DPO hardware, which allows actually to integrate, uh, um, uh, our software, our network operating system in a manner which is completely isolated and independent from the guest operating system. So the first byproduct of this approach is that whatever we do at the network level on the DPU card that is completely agnostic to the hypervisor layer or OSTP layer running on, uh, on the host even more, um, uh, we can also independently manage this network, know that the switch on a Neek effectively, um, uh, managed completely independently from the host. You don't have to go through the network operating system, running on x86 to control this network node. So you throw yet the experience effectively of a top of rack for virtual machine or a top of rack for, uh, Kubernetes bots, where instead of, uh, um, if you allow me with the analogy instead of connecting a server knee directly to a switchboard, now you're connecting a VM virtual interface to a virtual interface on the switch on an ache. >>And, uh, also as part of this integration, we, uh, put a lot of effort, a lot of emphasis in, uh, accelerating the entire, uh, data plane for networking and security. So we are taking advantage of the DACA, uh, Nvidia DACA API to program the accelerators. And these accomplished two things with that. Number one, uh, you, uh, have much greater performance, much better performance. They're running the same network services on an x86 CPU. And second, this gives you the ability to free up, I would say around 20, 25% of the server capacity to be devoted either to, uh, additional workloads to run your cloud applications, or perhaps you can actually shrink the power footprint and compute footprint of your data center by 20%, if you want to run the same number of compute workloads. So great efficiencies in the overall approach, >>And this is completely independent of the server CPU, right? >>Absolutely. There is zero code from running on the x86, and this is what we think this enables a very clean demarcation between computer and network. >>So Pete, I gotta get, I gotta get you in here. We heard that, uh, the DPU is enabled cleaner separation of dev ops and net ops. Can you explain why that's important because everyone's talking DevSecOps right now, you've got net ops, net, net sec ops, this separation. Why is this clean separation important? >>Yeah, I think it's a, you know, it's a pragmatic solution in my opinion. Um, you know, we wish the world was all kind of rainbows and unicorns, but it's a little, a little messier than that. And I think a lot of the dev ops stuff and that, uh, mentality and philosophy, there's a natural fit there. Right? You have applications running on servers. So you're talking about developers with those applications integrating with the operators of those servers. Well, the network has always been this other thing and the network operators have always had a very different approach to things than compute operators. And, you know, I think that we, we in the networking industry have gotten closer together, but there's still a gap there's still some distance. And I think in that distance, isn't going to be closed. And so, you know, again, it comes down to pragmatism and I think, you know, one of my favorite phrases is look good fences, make good neighbors. And that's what this is. >>Yeah. That's a great point because dev ops has become kind of the calling card for cloud, right. But dev ops is as simply infrastructure as code and infrastructure is networking, right? So if infrastructure is code, you know, you're talking about, you know, that part of the stack under the covers under the hood, if you will, this is super important distinction. And this is where the innovation is. Can you elaborate on how you see that? Because this is really where the action is right now. >>Yeah, exactly. And I think that's where, um, one from, from the policy, the security that the zero trust aspect of this, right? If you get it wrong on that network side, all of a sudden you, you can totally open up that those capabilities. And so security is part of that. But the other part is thinking about this at scale, right? So we're taking one top of rack switch and adding, you know, up to 48 servers per rack. And so that ability to automate, orchestrate and manage at scale becomes absolutely critical. >>I'll Sandra, this is really the why we're talking about here, and this is scale. And again, getting it right. If you don't get it right, you're going to be really kind of up, you know what you know, so this is a huge deal. Networking matters, security matters, automation matters, dev ops, net ops, all coming together, clean separation, um, help us understand how this joint solution with Nvidia fits into the pluribus unified cloud networking vision, because this is what people are talking about and working on right now. >>Yeah, absolutely. So I think here with this solution, we're attacking two major problems in cloud networking. One is, uh, operation of, uh, cloud networking. And the second is a distributing security services in the cloud infrastructure. First, let me talk about the first water. We really unifying. If we're unifying something, something must be at least fragmented or this jointed and the, what is this joint that is actually the network in the cloud. If you look holistically, how networking is deployed in the cloud, you have your physical fabric infrastructure, right? Your switches and routers, you'll build your IP clause fabric leaf in spine typologies. This is actually a well understood the problem. I, I would say, um, there are multiple vendors, uh, uh, with, uh, um, uh, let's say similar technologies, um, very well standardized, whether you will understood, um, and almost a commodity, I would say building an IP fabric these days, but this is not the place where you deploy most of your services in the cloud, particularly from a security standpoint, two services are actually now moved into the compute layer where you actually were called builders, have to instrument the, a separate, uh, network virtualization layer, where they deploy segmentation and security closer to the workloads. >>And this is where the complication arise. These high value part of the cloud network is where you have a plethora of options that they don't talk to each other. And they are very dependent on the kind of hypervisor or compute solution you choose. Um, for example, the networking API to be between an GSXI environment or an hyper V or a Zen are completely disjointed. You have multiple orchestration layers. And when, and then when you throw in also Kubernetes in this, in this, in this type of architecture, uh, you're introducing yet another level of networking. And when Kubernetes runs on top of VMs, which is a prevalent approach, you actually just stacking up multiple networks on the compute layer that they eventually run on the physical fabric infrastructure. Those are all ships in the nights effectively, right? They operate as completely disjointed. And we're trying to attack this problem first with the notion of a unified fabric, which is independent from any workloads, whether it's this fabric spans on a switch, which can be con connected to a bare metal workload, or can span all the way inside the DPU, uh, where, um, you have, uh, your multi hypervisor compute environment. >>It's one API, one common network control plane, and one common set of segmentation services for the network. That's probably the number one, >>You know, it's interesting you, man, I hear you talking, I hear one network month, different operating models reminds me of the old serverless days. You know, there's still servers, but they call it serverless. Is there going to be a term network list? Because at the end of the day, it should be one network, not multiple operating models. This, this is a problem that you guys are working on. Is that right? I mean, I'm not, I'm just joking server listen network list, but the idea is it should be one thing. >>Yeah, it's effectively. What we're trying to do is we are trying to recompose this fragmentation in terms of network operation, across physical networking and server networking server networking is where the majority of the problems are because of the, uh, as much as you have standardized the ways of building, uh, physical networks and cloud fabrics with IP protocols and internet, you don't have that kind of, uh, uh, sort of, uh, um, um, uh, operational efficiency, uh, at the server layer. And, uh, this is what we're trying to attack first. The, with this technology, the second aspect we're trying to attack is are we distribute the security services throughout the infrastructure, more efficiently, whether it's micro-segmentation is a stateful firewall services, or even encryption. Those are all capabilities enabled by the blue field, uh, uh, the Butte technology and, uh, uh, we can actually integrate those capabilities directly into the nettle Fabrica, uh, limiting dramatically, at least for east-west traffic, the sprawl of, uh, security appliances, whether virtual or physical, that is typically the way the people today, uh, segment and secure the traffic in the cloud. >>Awesome. Pete, all kidding aside about network lists and serverless kind of fun, fun play on words there, the network is one thing it's basically distributed computing, right? So I love to get your thoughts about this distributed security with zero trust as the driver for this architecture you guys are doing. Can you share in more detail the depth of why DPU based approach is better than alternatives? >>Yeah, I think what's, what's beautiful and kind of what the DPU brings. That's new to this model is a completely isolated compute environment inside. So, you know, it's the, uh, yo dog, I heard you like a server, so I put a server inside your server. Uh, and so we provide, uh, you know, armed CPU's memory and network accelerators inside, and that is completely isolated from the host. So the server, the, the actual x86 host just thinks it has a regular Nick in there, but you actually have this full control plane thing. It's just like taking your top of rack switch and shoving it inside of your compute node. And so you have not only the separation, um, within the data plane, but you have this complete control plane separation. So you have this element that the network team can now control and manage, but we're taking all of the functions we used to do at the top of rack switch, and we're just shooting them now. >>And, you know, as time has gone on we've, we've struggled to put more and more and more into that network edge. And the reality is the network edge is the compute layer, not the top of rack switch layer. And so that provides this phenomenal enforcement point for security and policy. And I think outside of today's solutions around virtual firewalls, um, the other option is centralized appliances. And even if you can get one that can scale large enough, the question is, can you afford it? And so what we end up doing is we kind of hope that of aliens good enough, or we hope that if the excellent tunnel is good enough and we can actually apply more advanced techniques there because we can't physically, you know, financially afford that appliance to see all of the traffic. And now that we have a distributed model with this accelerator, we could do it. >>So what's the what's in it for the customer. I real quick, cause I think this is interesting point. You mentioned policy, everyone in networking knows policy is just a great thing and it adds, you hear it being talked about up the stack as well. When you start getting to orchestrating microservices and whatnot, all that good stuff going on there, containers and whatnot and modern applications. What's the benefit to the customers with this approach? Because what I heard was more scale, more edge deployment, flexibility, relative to security policies and application enablement. I mean, is that what what's the customer get out of this architecture? What's the enablement. >>It comes down to, uh, taking again the capabilities that were in that top of rack switch and asserting them down. So that makes simplicity smaller blast radiuses for failure, smaller failure domains, maintenance on the networks, and the systems become easier. Your ability to integrate across workloads becomes infinitely easier. Um, and again, you know, we always want to kind of separate each one of those layers. So just as in say, a VX land network, my leaf and spine don't have to be tightly coupled together. I can now do this at a different layer. And so you can run a DPU with any networking in the core there. And so you get this extreme flexibility. You can start small, you can scale large. Um, you know, to me, the, the possibilities are endless. Yes, >>It's a great security control plan. Really flexibility is key. And, and also being situationally aware of any kind of threats or new vectors or whatever's happening in the network. Alessandra, this is huge upside, right? You've already identified some successes with some customers on your early field trials. What are they doing and why are they attracted to the solution? >>Yeah, I think the response from customers has been, uh, the most, uh, encouraging and, uh, exciting, uh, for, uh, for us to, uh, to sort of continue and work and develop this product. And we have actually learned a lot in the process. Um, we talked to tier two tier three cloud providers. Uh, we talked to, uh, SP um, software Tyco type of networks, uh, as well as a large enterprise customers, um, in, uh, one particular case. Um, uh, one, uh, I think, um, let me, let me call out a couple of examples here, just to give you a flavor. Uh, there is a service provider, a cloud provider, uh, in Asia who is actually managing a cloud, uh, where they are offering services based on multiple hypervisors. They are native services based on Zen, but they also are on ramp into the cloud, uh, workloads based on, uh, ESI and, uh, uh, and KVM, depending on what the customer picks from the piece on the menu. >>And they have the problem of now orchestrating through their orchestrate or integrating with the Zen center with vSphere, uh, with, uh, open stack to coordinate these multiple environments and in the process to provide security, they actually deploy virtual appliances everywhere, which has a lot of costs, complication, and eats up into the server CPU. The problem is that they saw in this technology, they call it actually game changing is actually to remove all this complexity of in a single network and distribute the micro-segmentation service directly into the fabric. And overall, they're hoping to get out of it, uh, uh, tremendous, uh, um, opics, uh, benefit and overall, um, uh, operational simplification for the cloud infrastructure. That's one potent a use case. Uh, another, uh, large enterprise customer global enterprise customer, uh, is running, uh, both ESI and hyper V in that environment. And they don't have a solution to do micro-segmentation consistently across hypervisors. >>So again, micro-segmentation is a huge driver security looks like it's a recurring theme, uh, talking to most of these customers and in the Tyco space, um, uh, we're working with a few types of customers on the CFT program, uh, where the main goal is actually to our Monet's network operation. They typically handle all the VNF search with their own homegrown DPDK stack. This is overly complex. It is frankly also as low and inefficient, and then they have a physical network to manage the, the idea of having again, one network, uh, to coordinate the provision in our cloud services between the, the take of VNF, uh, and, uh, the rest of the infrastructure, uh, is extremely powerful on top of the offloading capability of the, by the bluefin DPOs. Those are just some examples. >>That was a great use case, a lot more potential. I see that with the unified cloud networking, great stuff, feed, shout out to you guys at Nvidia had been following your success for a long time and continuing to innovate as cloud scales and pluribus here with the unified networking, kind of bring it to the next level. Great stuff. Great to have you guys on. And again, software keeps driving the innovation again, networking is just a part of it, and it's the key solution. So I got to ask both of you to wrap this up. How can cloud operators who are interested in, in this, uh, new architecture and solution, uh, learn more because this is an architectural shift. People are working on this problem. They're trying to think about multiple clouds of trying to think about unification around the network and giving more security, more flexibility, uh, to their teams. How can people learn more? >>Yeah, so, uh, all Sandra and I have a talk at the upcoming Nvidia GTC conference. Um, so that's the week of March 21st through 24th. Um, you can go and register for free and video.com/at GTC. Um, you can also watch recorded sessions if you ended up watching us on YouTube a little bit after the fact. Um, and we're going to dive a little bit more into the specifics and the details and what we're providing in the solution. >>Alexandra, how can people learn more? >>Yeah, absolutely. People can go to the pluribus, a website, www boost networks.com/eft, and they can fill up the form and, uh, they will contact durables to either know more or to know more and actually to sign up for the actual early field trial program, which starts at the end of April. >>Okay. Well, we'll leave it there. Thanks. You both for joining. Appreciate it up next. You're going to hear an independent analyst perspective and review some of the research from the enterprise strategy group ESG. I'm John ferry with the >>Cube. Thanks for watching. >>Okay. We've heard from the folks at networks and Nvidia about their effort to transform cloud networking and unify bespoke infrastructure. Now let's get the perspective from an independent analyst and to do so. We welcome in ESG, senior analysts, Bob LA Liberte, Bob. Good to see you. Thanks for coming into our east coast studios. >>Oh, thanks for having me. It's great to be >>Here. Yeah. So this, this idea of unified cloud networking approach, how serious is it? What's what's driving it. >>Yeah, there's certainly a lot of drivers behind it, but probably the first and foremost is the fact that application environments are becoming a lot more distributed, right? So the, it pendulum tends to swing back and forth. And we're definitely on one that's swinging from consolidated to distributed. And so applications are being deployed in multiple private data centers, multiple public cloud locations, edge locations. And as a result of that, what you're seeing is a lot of complexity. So organizations are having to deal with this highly disparate environment. They have to secure it. They have to ensure connectivity to it and all that's driving up complexity. In fact, when we asked in one of our last surveys and last year about network complexity, more than half 54% came out and said, Hey, our network environment is now either more or significantly more complex than it used to be. >>And as a result of that, what you're seeing is it's really impacting agility. So everyone's moving to these modern application environments, distributing them across areas so they can improve agility yet it's creating more complexity. So a little bit counter to the fact and, you know, really counter to their overarching digital transformation initiatives. From what we've seen, you know, nine out of 10 organizations today are either beginning in process or have a mature digital transformation process or initiative, but their top goals, when you look at them, it probably shouldn't be a surprise. The number one goal is driving operational efficiency. So it makes sense. I've distributed my environment to create agility, but I've created a lot of complexity. So now I need these tools that are going to help me drive operational efficiency, drive better experience. >>I mean, I love how you bring in the data yesterday. Does a great job with that. Uh, questions is, is it about just unifying existing networks or is there sort of a need to rethink kind of a do-over network, how networks are built? >>Yeah, that's a, that's a really good point because certainly unifying networks helps right. Driving any kind of operational efficiency helps. But in this particular case, because we've made the transition to new application architectures and the impact that's having as well, it's really about changing and bringing in new frameworks and new network architectures to accommodate those new application architectures. And by that, what I'm talking about is the fact that these new modern application architectures, microservices, containers are driving a lot more east west traffic. So in the old days, it used to be easier in north south coming out of the server, one application per server, things like that. Right now you've got hundreds, if not thousands of microservices communicating with each other users communicating to them. So there's a lot more traffic and a lot of it's taking place within the servers themselves. The other issue that you starting to see as well from that security perspective, when we were all consolidated, we had those perimeter based legacy, you know, castle and moat security architectures, but that doesn't work anymore when the applications aren't in the castle, right. >>When everything's spread out that that no longer happens. So we're absolutely seeing, um, organizations trying to, trying to make a shift. And, and I think much, like if you think about the shift that we're seeing with all the remote workers and the sassy framework to enable a secure framework there, this it's almost the same thing. We're seeing this distributed services framework come up to support the applications better within the data centers, within the cloud data centers, so that you can drive that security closer to those applications and make sure they're, they're fully protected. Uh, and that's really driving a lot of the, you know, the zero trust stuff you hear, right? So never trust, always verify, making sure that everything is, is, is really secure micro-segmentation is another big area. So ensuring that these applications, when they're connected to each other, they're, they're fully segmented out. And that's again, because if someone does get a breach, if they are in your data center, you want to limit the blast radius, you want to limit the amount of damage that's done. So that by doing that, it really makes it a lot harder for them to see everything that's in there. >>You know, you mentioned zero trust. It used to be a buzzword, and now it's like become a mandate. And I love the mode analogy. You know, you build a moat to protect the queen and the castle, the Queens left the castles, it's just distributed. So how should we think about this, this pluribus and Nvidia solution. There's a spectrum, help us understand that you've got appliances, you've got pure software solutions. You've got what pluribus is doing with Nvidia, help us understand that. >>Yeah, absolutely. I think as organizations recognize the need to distribute their services to closer to the applications, they're trying different models. So from a legacy approach, you know, from a security perspective, they've got these centralized firewalls that they're deploying within their data centers. The hard part for that is if you want all this traffic to be secured, you're actually sending it out of the server up through the rack, usually to in different location in the data center and back. So with the need for agility, with the need for performance, right, that adds a lot of latency. Plus when you start needing to scale, that means adding more and more network connections, more and more appliances. So it can get very costly as well as impacting the performance. The other way that organizations are seeking to solve this problem is by taking the software itself and deploying it on the servers. Okay. So that's a, it's a great approach, right? It brings it really close to the applications, but the things you start running into there, there's a couple of things. One is that you start seeing that the DevOps team start taking on that networking and security responsibility, which they >>Don't want to >>Do, they don't want to do right. And the operations teams loses a little bit of visibility into that. Um, plus when you load the software onto the server, you're taking up precious CPU cycles. So if you're really wanting your applications to perform at an optimized state, having additional software on there, isn't going to, isn't going to do it. So, you know, when we think about all those types of things, right, and certainly the other side effects of that is the impact of the performance, but there's also a cost. So if you have to buy more servers because your CPU's are being utilized, right, and you have hundreds or thousands of servers, right, those costs are going to add up. So what, what Nvidia and pluribus have done by working together is to be able to take some of those services and be able to deploy them onto a smart Nick, right? >>To be able to deploy the DPU based smart SMARTNICK into the servers themselves. And then pluribus has come in and said, we're going to unify create that unified fabric across the networking space, into those networking services all the way down to the server. So the benefits of having that are pretty clear in that you're offloading that capability from the server. So your CPU's are optimized. You're saving a lot of money. You're not having to go outside of the server and go to a different rack somewhere else in the data center. So your performance is going to be optimized as well. You're not going to incur any latency hit for every trip round trip to the, to the firewall and back. So I think all those things are really important. Plus the fact that you're going to see from a, an organizational aspect, we talked about the dev ops and net ops teams. The network operations teams now can work with the security teams to establish the security policies and the networking policies. So that they've dev ops teams. Don't have to worry about that. So essentially they just create the guardrails and let the dev op team run. Cause that's what they want. They want that agility and speed. >>Yeah. Your point about CPU cycles is key. I mean, it's estimated that 25 to 30% of CPU cycles in the data center are wasted. The cores are wasted doing storage offload or, or networking or security offload. And, you know, I've said many times everybody needs a nitro like Amazon nugget, but you can't go, you can only buy Amazon nitro if you go into AWS. Right. Everybody needs a nitro. So is that how we should think about this? >>Yeah. That's a great analogy to think about this. Um, and I think I would take it a step further because it's, it's almost the opposite end of the spectrum because pluribus and video are doing this in a very open way. And so pluribus has always been a proponent of open networking. And so what they're trying to do is extend that now to these distributed services. So leverage working with Nvidia, who's also open as well, being able to bring that to bear so that organizations can not only take advantage of these distributed services, but also that unified networking fabric, that unified cloud fabric across that environment from the server across the switches, the other key piece of what pluribus is doing, because they've been doing this for a while now, and they've been doing it with the older application environments and the older server environments, they're able to provide that unified networking experience across a host of different types of servers and platforms. So you can have not only the modern application supported, but also the legacy environments, um, you know, bare metal. You could go any type of virtualization, you can run containers, et cetera. So a wide gambit of different technologies hosting those applications supported by a unified cloud fabric from pluribus. >>So what does that mean for the customer? I don't have to rip and replace my whole infrastructure, right? >>Yeah. Well, think what it does for, again, from that operational efficiency, when you're going from a legacy environment to that modern environment, it helps with the migration helps you accelerate that migration because you're not switching different management systems to accomplish that. You've got the same unified networking fabric that you've been working with to enable you to run your legacy as well as transfer over to those modern applications. Okay. >>So your people are comfortable with the skillsets, et cetera. All right. I'll give you the last word. Give us the bottom line here. >>So yeah, I think obviously with all the modern applications that are coming out, the distributed application environments, it's really posing a lot of risk on these organizations to be able to get not only security, but also visibility into those environments. And so organizations have to find solutions. As I said, at the beginning, they're looking to drive operational efficiency. So getting operational efficiency from a unified cloud networking solution, that it goes from the server across the servers to multiple different environments, right in different cloud environments is certainly going to help organizations drive that operational efficiency. It's going to help them save money for visibility, for security and even open networking. So a great opportunity for organizations, especially large enterprises, cloud providers who are trying to build that hyperscaler like environment. You mentioned the nitro card, right? This is a great way to do it with an open solution. >>Bob, thanks so much for, for coming in and sharing your insights. Appreciate it. >>You're welcome. Thanks. >>Thanks for watching the program today. Remember all these videos are available on demand@thekey.net. You can check out all the news from today@siliconangle.com and of course, pluribus networks.com many thanks diplomas for making this program possible and sponsoring the cube. This is Dave Volante. Thanks for watching. Be well, we'll see you next time.

(upbeat music) >> Hello and welcome to this special CUBE conversation. I'm John Furrier, host of theCUBE here, remote in Washington, DC, not in Palo Alto, but we're all around the world with theCUBE as we are virtual. We're here recapping the Citrix Launchpad: Cloud (accelerating IT modernization) announcements with CUBE alumni Kevin Jackson, Kevin L. Jackson, CEO of GC Global Net. Kevin, great to see you. Thanks for coming on. >> No, thank you very much, John. It's always a pleasure to be on theCUBE. >> It's great to have. You always have great insights. But here, we're recapping the event, Citrix Launchpad: Cloud (accelerator IT modernization). And again, we're seeing this theme constantly now, IT modernization, application modernization. People are now seeing clearly what the pandemic has shown us all that there's a lot of projects that need to be up-leveled or kill. There's a lot of things happening and going on. What's your take of what you heard? >> Well, you know, from a general point of view, organizations can no longer put off this digitalization and the modernization of their IT. Many of these projects have been on a shelf waiting for the right time or, you know, the budget to get right. But when the pandemic hit, everyone found themselves in the virtual world. And one of the most difficult things was how do you make decisions in the virtual world when you can't physically be with someone? How do you have a meeting when you can't shake someone's hand? And they all sort of, you know, stared at each other and virtually, of course, to try to figure this out. And they dusted off all of the technologies they had on the shelf that they were, you know, they were told to use years ago, but just didn't feel that it was right. And now it became necessary. It became the way of life. And the thing that really jumped at me yesterday, well, jumped at me with Launchpad, the Launchpad of the cloud is that Citrix honed in on the key issues with this virtual world. I mean, delivering applications, knowing what the internet state is so that you could select the right sources for information and data. And making security holistic. So you didn't have to, it was no longer sort of this bolted on thing. So, I mean, we are in the virtual world to stay. >> You know, good call out there. Honing in was a good way to put it. One quote I heard from Tim (Minahan) was, you know, he said one thing that's become painfully evident is a lot of companies are going through the pandemic and they're experiencing the criticality of the application experience. And he says, "Application experience is the new currency." Okay, so the pandemic, we all kind of know what's going on there. It's highlighting all the needs. But this idea of an application experience is the new currency is a very interesting comment because, I mean, you nailed it. Everyone's working from home. The whole work is shifting. And the applications, they kind of weren't designed to be this way 100%. >> Right, right. You know, the thing about the old IT was that you would build something and you would deploy it and you would use it for a period of time. You know, a year, two years, three years, and then there would be an upgrade. You would upgrade your hardware, you would upgrade your applications, and then you go through the process again, you know? What was it referred to as, it wasn't modernization, but it was refresh. You know, you would refresh everything. Well today, refresh occurs every day. Sometimes two or three times a day. And you don't even know it's occurring. Especially in the application world, right? I think I was looking at something about Chrome, and I think we're at like Chrome 95. It's like Chrome is updated constantly as a regular course of business. So you have to deploy this, understand when it's going to be deployed, and the customers and users, you can't stop their work. So this whole application delivery and security aspect is completely different than before. That's why this, you know, this intent driven solution that Citrix has come up with is so revolutionary. I mean, by being able to know the real business needs and requirements, and then translating them to real policies that can be enforced, you can really, I guess, project the needs, requirement of the organization anywhere in the world immediately with the applications and with this security platform. >> I want to get your reactions to something because that's right on point there, because when we look at the security piece and the applications you see, okay, your mind goes okay, old IT, new IT. Now with cloud, with the pandemic showing that cloud scale matters, a couple themes have come from that used to be inside the ropes concepts. Virtualization, virtual, and automation. Those two concepts are going mainstream because now automation with data and virtual, virtual work, virtual CUBE, I mean, we're doing virtual interviews. Virtualization is coming here. So building on those things. New things are happening around those two concepts. Automation is becoming much more programmable, much more real time, not just repetitive tasks. Virtual is not just doing virtual work from home. It's integrating that virtual experience into other applications. This requires a whole new organizational structure mindset. What's your thoughts on that? >> Well, one of the things is the whole concept of automation. It used to be a nice to have. Something that you could do maybe to improve your particular process, not all of the processes. And then it became the only way of reacting to reality. Humans, it was no longer possible for humans to recognize a need to change and then execute on that change within the allotted time. So that's why automation became a critical element of every business process. And then it expanded that this automated process needed to be connect and interact with that automated process and the age of the API. And then the organization grew from only relying on itself to relying on its ecosystem. Now an organization had to automate their communications, their integration, the transfer of data and information. So automation is key to business and globalization creates that requirement, or magnifies that requirement. >> One of the things we heard in the event was, obviously Citrix has the experience with virtual apps, virtual desktop, all that stuff, we know that. But as the cloud grows in, they're making a direct statement around Citrix is going to add value on top of the cloud services. Because that's the reality of the hybrid, and now soon to be multi-cloud workflows or architectures. How do you see that evolve? Is that something that's being driven by the cloud or the app experience or both? What's your take on that focus of Citrix taking their concepts and leadership to add value on top of the cloud? >> To be honest, I don't like referring to the cloud. It gives an impression that there's only a single cloud and it's the same no matter what. That couldn't be further from the truth. A typical organization will consume services from three to five cloud service providers. And these providers aren't working with each other. Their services are unique, independent. And it's up to the enterprise to determine which applications and how those applications are presented to their employees. So it's the enterprise that's responsible for the employee experience. Integrating data from one cloud service provider to another cloud service provider within this automated business process or multiple business processes. So I see Citrix is really helping the enterprise to continually monitor performance from these independent cloud service provider and to optimize that experience. You know, the things like, where is the application being consumed for? What is the latency today on the internet? What type of throughput do I need from cloud service provider A versus cloud service provider B? All of this is continually changing. So the it's the enterprise that needs to constantly monitor the performance degradation and look at outages and all of that. So I think, you know, Citrix is on point by understanding that there's no single cloud. Hybrid and multi-cloud is the cloud. It's the real world. >> You know, that's a great call. And I think it's naive for enterprises to think that, you know, Microsoft is sitting there saying hmm, let's figure out a way to really work well with AWS. And vice versa, right? I mean, and you got Google, right? They all have their own specialties. I mean, Amazon web service has got great compliance action going on there. Much back stronger than Microsoft. Microsoft's got much deeper legacy and integration to their base, and Google's doing great with developers. So they're all kind of picking their lanes, but they all exist. So the question in the enterprise is what? Do I, how do I deal with that? And again, this is an opportunity for Citrix, right? So this kind of comes down to the single pane of glass (indistinct) always talks about, or how do I manage this new environment that I need to operate in? Because I will want to take advantage of some of the Google goodness and the Azure and the AWS. But now I got my own on premises. Bare metals grow. You're seeing more bare metal deals going down now because the cloud operations has come on premises. >> Yeah, and in fact, that's hybrid IT, right? I always see that there are an enterprise, when enterprise thinks about modernizing or digitally transforming a business process, you have three options, right? You could put it in your own data center. In fact, building a data center and optimizing a data center for a particular process is the cheapest and most efficient way of executing a business process. But it's only way cheaper and efficient if that process is also stable and consistent. I'll say, but some are like that. But you can also do a managed service provider. But that is a distinctly different approach. And the third option is a cloud service provider. So this is a hybrid IT environment. It's not just cloud. It's sort of, you know, it's not smart to think everything's going to go into the cloud. >> It's distributed computing. We see (indistinct). >> Yeah, yeah, absolutely. I mean, in today's paperless world, don't you still use a pen and paper and pencil? Yes. The right tool for the right job. So it's hybrid IT. Cloud is not always a perfect thing. And that's something that I believe Citrix has looked at. That interface between the enterprise and all of these choices when it comes to delivering applications, delivering the data, integrating that data, and making it secure. >> And I think that's a winning positioning to have this app experience, the currency narrative, because that ultimately is an outcome that you need to win on. And with the cloud and the cloud scale that goes on with all the multiple services now available, the company's business model is app driven, right? That's their application. So I love that, and I love that narrative. Also like this idea of app delivering security. It's kind of in the weeds a little bit, but it highlights this hybrid IT concept you were saying. So I got to ask you as the expert in the industry in this area, you know, as you have intent, what do they call it? Intent driven solution for app delivering security. Self healing, continuous optimization, et cetera, et cetera. The KPIs are changing, right? So I want to get your thoughts on that. Because now, as IT shifts to be much faster, whether it's security teams or IT teams to service that DevOps speed, shifting left everyone talks about, what's the KPIs that are changing? What is the new KPIs that the managers and people can work through as a north star or just tactically? What's your thoughts? >> Well, actually, every KPI has to relate to either the customer experience or the employee experience, and sometimes even more important, your business partner experience. That's the integration of these business processes. And one of the most important aspects that people really don't think about is the API, the application programming interface. You know, you think about software applications and you think about hardware, but how is this hardware deployed? How do you deploy and expand the number of servers based upon more usage from your customer? It's via the API. You manage the customer experience via APIs. You manage your ability to interact with your business partners through the API, their experience. You manage how efficient and effective your employees are through their experience with the IT and the applications through the API. So it's all about that, you know, that experience. Everybody yells customer experience, but it's also your employee experience and your partner experience. So that depends upon this integrated holistic approach to applications and the API security. The web app, the management of bots, and the protection of your APIs. >> Yeah, that really nailed it. I think the position is good. You know, if you can get faster app delivery, keep the security in line, and not bolt it on after the fact and reduce costs, that's a winning formula. And obviously, stitching together the service layer of app and software for all the cloud services is really key. I got to ask you though, Kevin, since you and I have riffed on theCUBE about this before, more importantly now than ever with the pandemic, look at the work edge. People working at home and what's causing the office spaces changing. The entire network architecture. I mean, I was talking to a big enterprise that said, oh yeah, we had, you know, the network for the commercial and the network for dial up now 100% provisioned for everyone at home. The radical change to the structural interface has completely changed the game. What is your view on this? I mean, give us your, where does it go? What happens next? >> So it's not what's next, it's where we are right now. And you need to be able to be, work from anywhere at any time across multiple devices. And on top of that, you have to be able to adapt to constant change in both the devices, the applications, the environment, and a business model. I did a interview with Citrix, actually, from an RV in the middle of a park, right? And it's like, we did video, we did it live. I think it was through LinkedIn live. But I mean, you need to be able to do anything from anywhere. And the enterprise needs to support that business imperative. So I think that's key. It's it's not the future, it's the today. >> I mean, the final question I have for you is, okay, is the frog in the boiling water? At what point does the CIO and the IT leaders, I mean, their minds are probably blown. I can only imagine. The conversations I've been having, it's been, you know, be agile, do it in the cloud, do it at speed, fix the security, programmable infrastructure. What? How fast can I run? This is the management challenge. How are people dealing with this when you talk to them? >> First of all, the IT professional needs to focus on the business needs, the business requirements, the business key performance indicators, not technology, and a business ROI. The CIO has to be right there in the C sweep of understanding what's needed by the business. And there also has to be an expert in being able to translate these business KPIs into IT requirements, all right? And understanding that all of this is going to be within a realm of constant change. So the CIO, the CTO, and the IT professional needs to realize their key deliverable is business performance. >> Kevin, great insight. Loved having you on theCUBE. Thanks for coming on. I really appreciate your time highlighting and recapping the Citrix Launchpad: Cloud announcements. Accelerating IT modernization can't go fast enough. People, they want to go faster. >> Faster, faster, yes. >> So great stuff. Thanks for coming, I appreciate it. >> Thank you, John. I really enjoyed it. >> Okay, it's theCUBE conversation. I'm John Furrier, host of theCUBE. Thanks for watching. (upbeat music)

>> live from San Francisco celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by IBM wear and its ecosystem partners. >> Well, good afternoon. And welcome back to San Francisco. Where Mosconi north along with David Dante, John Wall's You're watching our coverage here. Live on the Cuba Veum world. 2019 days. I've been over on the other set. I know you've been busy on this side as well. Show going. All right for you >> so far. Yeah, A lot of action going on over here. We had a pact Hellsing on this morning, Michael Dell, with this VM wear hat, we get Sanjay Putin downtown later. >> Yeah, yeah. Good light up. And that lineup continues. Great. Use the CEO Veritas. >> Great to be here. Very John, >> actually, just outside the Veritas Meadow here. Sponsored the this area. This is the meadow set. That >> nice to be here? Yeah, I didn't know >> that. All right, just first off, just give me your your idea of the vibe here. What you are. You're feeling >> what? I think there's a tremendous amount of energy. It's been a lot of fun to be here Obviously VM was talking about this hybrid multi cloud world, and Veritas is 100% supportive of that vision. We work with all the major cloud service providers, you know, eight of us. Google. Microsoft is or we share thousands of customers with the M, where some of the biggest customers, the most complicated customers in the world, where we provide availability and protection and insights for those customers has always >> been the ethos of veritas. When you go back to the early days of Veritas, essentially, it was the storage management, you know, the no hardware agenda, the sort of independent storage company, but pure software. >> That sounds. You >> know, years ago there was no cloud, but there were different platforms, and so that that that that culture has really migrated now into this multi cloud work world. Your thoughts on that >> absolutely look, you know, I'll give an example of a customer that we worked with closely with VM wear on, and that is Renault. America's Renault is Ah, big joint venture. They've got a huge ASAP installation 8000 users 40 terabytes, Big Net backup customer. They also use their products in for a scale and V. R P for availability and D r. And they work with us because we are hardware agnostic. They looked at us against the other competitors, and we're hardware agnostic. And because of that where we came in its 60% lower TCO than those other providers. So we that hardware agnostic approach works really well. You were >> Just touch it on this great little bit when you said, You know whether Tiger, whether it's multi, whether it's private, whatever it is, you know we're here to provide solutions. The fact that this stuff is hard to figure out and really kind of boggle the mind a bit, it's very complex. Um, how much of an inhibitor is that? In terms of what you're hearing from clients and in terms of their progress and and their decision making >> well, let me explain where we sit. And we are the leader in enterprise data protection, availability and insights. We work with the largest, most complex, most high route, highly regulated and most demanding customers on the planet. 99 of the Fortune 100 are customers of Veritas. 10 of the top 10 tell coast 10 of the top 10 healthcare companies and 10 of the top 10 financial institutions. I spend about 50% of my time talking to these customers, so we learn a lot. And here the four big challenges they're facing first is the explosion of data. Data is just growing so fast, Gardner estimates will be 175 Zita bytes of data in 2025. If you cram that in, iPhones will take 2.6 trillion iPhones and go to the sun and back, right? It's an enormous amount of data. Second, they're worried about Ransomware. It's not a question off if you'll be attacked. It's when you'll be attacked. Look at what's happening in Texas right now with the 22 municipalities dealing with that. What you want in that case is a resilient infrastructure. You wanna be terrible to restore from a really good backup copy of data. Third, they want the hybrid multi cloud world, just like Pak Gil Singer has been talking about. That's what customers want, but they want to be able to protect their data wherever it is, make it highly available and get insights in the data wherever it's located. And then finally, they're dealing with this massive growth in government regulations around the world because of this concern about privacy. I was in Australia a few weeks ago and one of our customers she was telling me that she deals with 27 different regulatory environments. Another customer was saying the California Privacy Act will be the death of him. And he's based in St Louis, right? So our strategy is focused on taking away the complexity and helping the largest companies in the world deal with these challenges. And that's why we introduce the enterprise. Data Service is platform, and that's why we're here. VM world Talking >> about Greg. Let's unpack some of those, Asai said. Veritas kind of created a market way back when and now you see come full circle, you got multi cloud. You have a lot of new entrance talking about data management. That's it's always been your play, but you came to the king of the Hell's. Everybody wants a piece of your hide, so that's kind of interesting, But but data growth. So let's let's start there. So it used to be data was, ah, liability. Now it's becoming an asset. So what? What your customers saying about sort of data is something that needs to be managed, needs to be done cost effectively and efficiently versus getting more value on data. And what's Veritas is sort of perspective. >> They're really trying to get insights in their data. Okay. And, uh, that's why we acquired a company called Apt Are. So when I This is my second time of Veritas. I was here from 2003 to 2010 rejoined the company of 2018. I talked to a lot of customers. I've found that their infrastructure was so complex that storage infrastructure so complex the companies were having a hard time figuring out anything about their data. So they're having the hardest time just answering some fundamental questions that boards were asking. Boards are saying because of the ransomware threat. Is all our data protected? Is it backed up? Are all our applications backed up and protected and customers could not answer that question. On the other hand, they also were backing up some data 678 times wasting storage. What apt are does, and it's really amazing. I recommend seeing a demo of that. If you get a chance, it pulls information from Santa raise network file systems, virtual machines, uh, san networking and all data protection applications to get a complete picture of what's happening with your data. And that is one example off what customers really want. >> Okay, so then that kind of leads to the second point, which is ransomware now. Part of part of that is analytics and understanding what's going on in the system as well. So but it's a relatively new concept, right? And ransom. Where is the last couple of years? We've really started to see it escalate. How does Veritas help address that problem? And does apt our play a role there? >> Well, Veritas, it just helps it. Cos address that problem because veritas helps create a resilient infrastructure. Okay, the bad guys are going to get in spear. Phishing works. You know, you you are going to find some employees were gonna click on a link, and the malware is going to get in so all you can do to protect you ultimately have tohave a good backup copies so you can restore at scale and quickly. And so there's been a lot of focus from these large enterprises on restoring at scale very quickly after ransom or attack, it's you're not beholden. You can't be extorted by the ransom or >> the third piece was hybrid. And of course, that leads to a kind of hybrid multi cloud. Let's let's put that category out there now. I've been kind of skeptical on hybrid multi cloud from an application perspective in other words, the vision that you can run any app anywhere in the world without having a retest Rica pile. I've been skeptical that, but the one area that I'm not skeptical and the courage with is data protection because I think actually, you can have a consistent data protection model across your on Prem different on prams, different clouds, because you know you're partnering with all the different cloud cos you obviously have expertise in on premise. So so talk about your approach, their philosophy and maybe any offering. >> Well, this is really what sets us apart. We have been around for 25 years, 2000 patents. We protect everything. 500 different sources of data 150 different targets, 60 different cloud service providers, you know, we compete with two categories of players. We compete with the newcomers, and they only they will only protect your most current technology. They don't go back. We've been around for 25 years. We protect everything, right? We also can't compete with the conglomerates, Okay? In their case, they're not focused. They're trying to do everything. All we do is availability, protection and insights. And that's why we've been in Gardner M Q 13 times and where the market share leader also absolutely >> touch me. Someone Dave was saying about the application side of this. I mean, just your thoughts about, you know, the kinds of concerns the day raises. I mean, it is not alone in that respect. I mean, there are general concerns here, right about whether that that'll fly. What do you think? In terms, >> I think the vision is spot on and like, oh, visions, it takes a while to get to. But I think what VM wears done recently in the acquisition, there've been basically trying to make the control plane for compute okay, and their acquisition of carbon, black and pivotal add to that control plane we're gonna be We are the control plane for data protection. I mean, that's that's the way our customers rely on, >> but that makes sense to me. So I think I feel like the multi cloud vision is very aspirational today, and I think it's gonna be really hard to get there without homogeneous infrastructure. And that's why you see things like Outpost to see the Oracle has clouded customer. You've got Azure Stack. So and I think it's gonna be a multi vendor world. However I do think is it relates the data protection you can set a standard and safe. We were going to standardize on Veritas. So one of us So I think that it's it's achievable. So that was my point there. The last one was was regulations. Do you think GDP are will be a sort of a framework globally body of customers seeing there? >> Well, they're dealing with more than GDP are like I talked about that one customer, 27 different regulatory environments and the challenge there is. How do you deal with that when you don't know what you have in terms of data, the 50% of data is what we call dark data. You don't know anything about right, so you need help classifying it, understanding and getting insight into that data, and that's what we can help >> our customers. But howdy, howdy, dildo. In that environment, I mean, I mean, a day raises the point. This is obvious. A swell that mean you cite California right, which is somewhat infamous for its own regulatory mindset. I mean, how do you exist? What? The United States has privacy concerns and Congress can address it, and various federal agencies could do the same Europe. Obviously we talked about now Australia. Now here. Now there you get this Balkan I system that has no consistency, no framework. And so how do you operate on a global scale? >> A. Mentally. It relies on classifying that data right. Understanding what's where and what do you have is a P I. I personally identifiable information. Is it information that's intellectual property? What kind of data you have once you have that insight, which is what we provide, you can layer on top of the regulatory Is that compliance? >> Star I P. Is that Veritas i p. A blender? >> It's a blend of avatar and veritas I p. We have a product called Info Studio that helps toe provide that now Remember one of the things that are net backup product has is a catalogue of data. So we know where the data is primary to secondary storage, and we have all the versions of that data. And then we can run analytics against the secondary storage and not hit the primary systems. Right? So we're out of band to the primary systems, and that turns out to be very valuable in the state's a >> question. The catalog. I can't do this without a catalogue in the enough to geek out here a little bit, but but you've got a little bit when you bring in multi clouds. Other clouds. How do you incorporate you know that knowledge into your catalog? >> Yeah. Art, art, technology work Idol of works across multiple clouds. So we work with 60 different Cloud service providers. There's three big ones represented here today. Microsoft, AWS and Google. We work very closely with all three, and >> that's because you do the engineering at the A P. I level. Our engineering teams work very, very closely together. Okay, um, so let's talk about competition a little bit. The markets heated up. It's great. It's good to see all this VC money floating in. Everybody I said wants a piece of your hide. Why Veritas? >> Well, I explained that, you know, we are the leader in enterprise, data protection, availability and insights. There are some newcomers. They just will support you on your current technology. They don't support the infrastructure you've had for many years. If your large complicated enterprise you have layers of technology, we support all that with VIN amount for 25 years against, the big conglomerates were completely focused. And that's why we're the leader, according to Gartner, in the Leader's Quadrant 13 years >> now. And just as we close up you talked about, you brought up the case in Texas, about 22 municipalities. You do a lot of public sector work states, federal government ever. It's just what is the difference of different animal between public and private and and what you need to do in terms of providing that >> we're struggling with the same challenge. In fact, we work with some of the largest government agencies in the world, and they're struggling with exactly the same challenge. They also want leverage the public cloud. They're worried about ransom where you know they're dealing with data growth. All of these are challenges to them. And that's the, uh So these are common challenges we're addressing. Our strategy is to help our customers with these challenges so they can focus on the value of data >> 18 months in. You seem pumped up. Does having a great time team fired up >> way. Get that right. Great. But you're okay with big geeking out to write a very good thanks for the time You've run out of time. 40 Niners next time. All right. Greg Hughes joining us from Veritas. Back with more Veum, World 2019 right here on the Cube. >> Thank you.

>> Live from San Francisco, it's theCUBE. Covering IBM Think 2019, brought to you by IBM. >> Hello everyone welcome back to theCUBE's live coverage here at IBM Think 2019 in San Francisco, our exclusive coverage, day four, four days of coverage events winding down, I'm John Furrier with Stu Miniman, our next guest, Eric Herzog, CUBE alumni, CMO of IBM storage and VP of storage channels, Eric great to see you wearing the Hawaiian shirt as usual. >> Great, I can't come to theCUBE and not wear the Hawaiian shirt. You guys give me too much of a heart attack. >> Love getting you on to get down and dirty on storage and the impact of Cloud and infrastructure. First, you gave a great talk yesterday to a packed house, I saw that on social media, great response, what's going on for you at the show, tell us. >> So the big focuses for us are around four key initiatives. One is multi-cloud particularly from a hybrid perspective and in fact, I had three presenters with me, panelists and users, all of them were using multiple public cloud providers and all of them had a private cloud. One of them also was a software as a service vendor, so clearly they're really monetizing it. So that's one, the second one is around AI, both AI that we use inside of our storage to make it more efficient and more cost effective for the end user, but also as the platform for AI work loads and applications. Cyber resiliency is our other big theme, we've got all kinds of security, yes everyone is used to of course the Great Wall of China protecting you and then of course chasing the bad guy down when they breach you, but when they breach you it'd sure be nice if everything had data at rest encryption, or when you tiered out to the cloud you knew that it was being backed up or tiered out fully encrypted or how about something that can help you with ransomware and malware. So we have that, and that's a storage product not a regular, you know what you think of from a security vendor. So those are the big things that we've been harking on at the show. >> One of the things that I've observed, you've been very active out in the field, we've seen you at a lot of different events, Cisco Live, others, you guys have had an interesting storage product portfolio, very broad and specific leadership categories, but you also have the ability to work with other partners. This has been a big part of your strategy, you get the channels. What is, how would you summarize the current story around IBM storage and systems, because it's now an ingredient part of other people's infrastructure with cloud storage then becomes a key equation, how would you describe the IBM storage posture, product portfolio, what are the key things? >> So I think the key thing from a portfolio perspective, while it looks broad it's really four things. Software defined storage which we also happened to have bet on on array so theoretically that's one product line, same exact software. Other vendors don't do that, they have an array pack and you buy the array but if you buy their software defined storage it's actually different software, for us it's the same software. Then we have modern data protection and then we have management playing. That's kind of it. I do think one of the big differentiator for us, is even though we're part of IBM, we have already been working with everyone any way. So as we talked about at Cisco Live, for Spectrum Protect alone, our modern data protection platform, we have 400 small and medium cloud service providers all over the world that their back up service is based on it, so even though IBM Cloud has their own cloud division theoretically, we're enabling the competition but we've had that story at IBM storage now for four years. >> So storage anywhere basically is the theme here, AI anywhere storage anywhere, I mean it's not the official tagline but that's the philosophy with software. >> And that's yeah, so even if you think look at AI. We have an AI reference architecture with the power product line, we also have an AI reference architecture with the Nvidia product line, and we're working on a third one right now with another major server vendor because we want our storage to be anywhere there's AI and anywhere there's a cloud, big medium or small. >> Alright, Eric let's tease that out a little bit because I had a great conversation with an IBM fellow yesterday and we think back ten years ago, when you talked about hybrid and multi cloud, when you talked about an application it's "Am I spanning between environments? "Am I bursting between environments?" And architectures just didn't work that way. Today microservices architecture, there's pieces of the solution that can live in lots of environments, Compute I can spin up almost anywhere at any time, data doesn't move and I need to worry about my data, I need to worry about security so there's certain things that multi cloud like data protection, cyber resiliency, those kind of ones need to live everywhere, but when I talk about storage, I'm not moving my storage and my persistent database all over the place. So help us kind of tease out as to what is the multi everywhere and what is the you know the data that the Compute's going to actually move to that data, help us squint through that a little bit. >> So let's do the storage part first. So most applications, workloads, and use cases that are either business critical or mission critical are going to stay on prem, doesn't mean you can't use a public cloud provider for overflow whether that be IBM or Amazon or Microsoft or like I said the 400 cloud providers that we sell to that are not IBM, so but you're still going to have this hybridness where the data is partially on prem and off prem, in that case you're going to be using the public cloud provider, and by the way we did a survey, IBM did, and when you're looking enterprise, so let's say companies that are three or four billion US and up, anywhere in the world, you're seeing that most of them are using five or six different public clouds, whether that be salesforce.com which really is sales enablement software as a service. We have a startup that we work with who uses IBM's flash system and they do cyber security as a service, that's their whole business. So all of this software vendors that now deliver not on prem but you know over the cloud. Then you've got regular public cloud providers for file, block, and object for example we not only support IBM Cloud object storage protocol, but S3. So we have customers that put data out in S3, we have customers that put it out on other clouds because as you know S3's become the de facto standard so all the mid to small cloud providers use it. So I think what you've got is hybrid cloud is a sort of a subset of multi cloud and then multi cloud what you're seeing is because of software as service could even be geographic issues, we have a lot of data centers at IBM Cloud so do the three major cloud providers, but we are not in all 212 countries so if you have the law like in Canada where the data has to physically stay within the premises of Canada, now we all happen to have data centers that are big enough, but that doesn't mean we have data centers in every country, so you have legal issues, you have applications what applications are good, that make sense, what about pricing, and as you know some big companies still buy regionally. >> Eric, one of the things I'd love to get your perspective on is the SAS providers because if we look at the storage market in many ways, you know there was like the threat of public cloud, but really you got to follow the application, follow the data and as SAS proliferation happens, your data is going to go with that, you know you have them as customers in a lot of environments, what are you seeing from the SAS providers, how do they choose what offerings they have and how do they look at their data center versus public cloud mix? >> So when you look at a SAS provider, they've got a couple of different parameters that they look at which is why we've been very successful. One is performance, they already know their subject to the vicissitudes of the cloud so you can't have any bottle neck in your core data center because you're serving that app up, and if it's too slow or it doesn't work right, then of course the end user will go buy a different piece of software from another SAS provider. Second one is availability, because you have no idea when wiki bomb theCUBE is going to turn on that service, it could be the middle of the night right? If you guys expand to Asia, you guys will be asleep but your guy in Australia will be using that software, so it can't ever go down, so availability. Resiliency, can it handle pounding. If CUBE wiki bomb becomes ginormous, and you buy all these other analyst firms and the next thing you know the biggest analyst firm in the world, if you have thousands of people guess what now you're hammering on that software, so it's got to be able to take that workload abuse, right? And that's the kind of thing, so they look for that. >> That's scale basically, scale is critical. >> Right, they cannot have any issues of resiliency or availability and performance so A: they're usually going all flash, some of them will buy like a tape or the older all hard drive arrays as a backup store, ideal for IBM cloud object storage but again the main thing they focus on is flash because they're serving up that software. >> Let me ask you a question, so I know you've been in this business for a long time, storage you know everything about the speeds and fees but also you've been a historian too, you're on the front edge. IBM has got a killer strategy with cloud private, doing very well with Openshift and Redhat acquisition, you're now poised to essentially bring cloud scale across multiple clouds and with AI, it really puts storage at the center of the action. How is storage now positioned and how should customers think about storage, because scale is table stakes, enabling developers to program infrastructure as code, how does storage and how has it changed and how are you guys positioned to take advantage of that? How would you kind of explain that to a customer? >> Yeah so I think there's a couple of changes, first of all you're looking for a storage vendor which should be us, but you're looking for a storage vendor that is always making sure, for example when micro services first came out and containers, okay great except when containers came out and it's still a problem, you don't have storage consistency whereas in a VM ware or a hyper V or you know KVM environment, you do. So when you move things around, you don't lose the dataset, well we have persistency storage. So the key thing that you want to look for is a storage vendor that will stay on that leading edge as you move. Our copy data manager has an API so the developers can spit up their own environments but use real data, so as you guys know well from your pasts that the last thing you want to do is have the dev ops guy be developing things on faux datasets, try to put it in production, and then the real dataset doesn't work, at the same time if they put it out to a public cloud provider you could have a legal or security breach, right? So by being able to take modern data protection, as an example, and not just to have grandfather, father son back up, we all remember that I remember it better than you guys since I'm older, but that's back up right? It's not back up any more, it's modern data protection. You need to be able to take the snapshot, the replica or the back up dataset and use it for development, so you want a storage vendor that's going to be on the leading edge of that. We've done that at IBM on the Kenner side, the modern data protection side, and we'll continue to the do that. The whole multi cloud thing, IBM as you know is now all about multi cloud, what Redhat's been in, the storage division of IBM has been working with Redhat for 15 years. Going to the Redhat summit every year, I know you guys do theCUBE from there sometimes. >> You're on, but this is software defined so at the end of the day a software defined bet with arrays have paid off. >> Yes. >> You'd say that would be kind of a key linchpin. >> I would argue that, while there's some hardware aspects to it, so for example our flash core modules give us a big differentiator from a flash perspective, in general the number one differentiator for a strong, powerful array vendor is actually the underlying software code. The RAID stack, what you can wrap around it, file block and object support, what could you enhance, our Spectrum discover, allowing you to use metadata about unstructured data whether that be in the file space of the object store. That allows the data scientist to dramatically reduce the time it takes to prep the data when they're doing either AI or an analytic workload, so we just saved them money but we're really a storage company that came up with something that a data scientist could use because we understand how storage is at the central foundation and how you could literally use the metadata for something actually valuable, not to a storage person because a data scientist is not the storage guy of course. >> Yeah and Eric I would love to get your feedback, what are some of those key discussions you're having with customers here at the show? We've been talking a lot this week digital transformation, AI into everything there, are those some of the themes? What are the struggles that really the enterprises of today are facing and how your group's helping them? >> So one of the big things is understanding that it's going to be multi cloud and so because we've already been the Switzerland of the storage industry and working with every cloud provider, all the big ones, including ones that compete with our own sister division, but all the little small ones too, right? And all the software as service vendors we work with that we're the safe bet, you don't have to worry about it. Because whoever you pick, or for a big enterprise, in fact I had Aetna on stage with me and he said he's using seven different clouds, one of which is their private cloud and then six different cloud providers they use, and he said not counting salesforce.com and I forgot the other name, so really if you count the softwares there, she really got like nine clouds. She said I use IBM cause I know it's going to work with whoever, and you're not going to say oh I don't work with this one or that one. So that's been obviously making sure everyone realizes that, the whole company is embracing it as you saw and what we're going to do obviously with Redhat and continue for them to participate with all of their existing customer base that they've been doing for years. >> So you see multi cloud and sweet spot, that highlights your value proposition, would you say that to be true? >> I would say that and then the second one is around AI. All the storage vendors including us have had AI sort of inside, what I'll call inside of the box, inside of the array and use that to make the array better, but now with AI being ubiquitous from a work load perspective, you have to have the right foundation underneath that, again performance resiliency availability, if you're going to use AI in a giant car factory, and it's going to run all of those machines, you better make sure the thing never fails because then the assembly line goes down and those things are hundreds of millions of dollars of build every day. So that's the kind of thing you got to look for, so AI's got to have the right platform underneath it as well. >> Eric you have some reporting from the field as you're out in the, doing a lot of talks a lot of customers, give it a couple of anecdotal examples of where the leading edge is in storage and where are use cases that would be a good tell sign of where this kind of multi cloud is going. Can you just give some examples of the use cases, situation, and kind of why is that relevant for where everyone will be going? Where is the puck going to be, so I can skate to where the puck is, as they say. >> So from a multi cloud perspective, A: you've got to deal with how your company is structured, if you have a divisionalized company or one that really lets the regions make their own buy decisions, then you may have NTT Cloud in Japan, you may have Ali Baba in China, you may have IBM Cloud Australia, and then you might have Amazon in Latin America. And as IT guys you got to make sure you're dealing with that, and embrace it. One of the things I think from an IT perspective is why I'm wearing the Hawaiian shirt, you don't fight the wave, you ride the wave. And that's what everyone's got to realize so, they're going to use multi cloud, and remember the cloud was the web was the internet, it's actually all the same stuff from a long time ago, the mid 90's, which also means now procurement's involved and when procurement's involved, what are they going to say to you? Did you get a bid from IBM Cloud, did you see that bid from Amazon and Microsoft? So it's changed the whole thing of, I can just go to any cloud I want to, now procurement's involved that even mid-size companies procurement says you did get another bid right, did you not? Which for server, storage, and network vendors that's been the way it's been for 35, 40 years. >> The bids are changing too, so what are the requirements now? Amazon has a cloud, they have storage, you have storage, but people have on premise they have multiple environments. If the world is one big data center, with multiple regions and locations, this is the resilience you spoke of, what's the new requirements as procurement gets involved because procurement isn't dictating the requirements, they're getting the requirements from the application work loads and the infrastructure, so what are the new requirements that you see? >> So I think the thing you're seeing is if you take cloud just a couple years ago, I'm going to put my storage out there, okay great, I need this kind of availability, ooh that's extra money, sorry Mr. Wikibomb, Mr. CUBE we got to charge you a little extra for that. Oh we need a certain amount of performance, oh that's a little extra. And then for heavy transactional work loads the data's constantly moving back and forth, oh we forgot to tell you that we're charging you every time you move the data in and every time you move the data out. So as you're putting together these RFPs you needs to be aware of that. >> Those are hidden costs. >> Those are hidden costs that are, I think the reason you're seeing such the ride of the hybrid is people went to public cloud and then someone in finance, or maybe even in the IT group sat down with a spread sheet and said "Oh my god, we could've just bought an IBM array "or someone else's array" and actually had less money even counting support, because all every time we're moving the data, but for archive, for back up we don't move the data around a lot, it's a great solution for anything. Then you have the whole factoring of software as a service, so part of that is the software itself, if you're going to go up against salesforce.com then whoever does, they better make sure the software's good, then on top of that again you negotiate with the software vendor, I need it globally, okay what's the fee for that? So I think the IT guys need to understand that with the ubiquity of the cloud, you've got to ask way more questions, in the storage array business, everyone's got five nines and almost everybody's got six nines, well way back when it was four nines then it was five and now it's six, so you don't ask anymore because you know it just changes right? And the cloud is still new enough and the whole software as a service is a different angle, and a lot of people don't even realize software as a service is cloud, but when you say that they go, what are you talking about, it's just I'm getting it over a service. Where do you think it comes from? A cloud data center. >> Well the trend is software defined, you guys are on that early. Congratulations, and don't forget the hardware, the high performance hardware as well, arrays and what not. So great job. Eric thanks for coming on, appreciate it. >> Great, thank you very much. >> CUBE coverage here, I'm John Furrier, Stu Miniman. Day four of our live coverage here in Moscone North, in San Francisco for IBM Think 2019. Great packed house here at IBM Think, back for more coverage after this short break. (electronic outro music)

>> Live from San Jose, it's theCUBE! Presenting Big Data Silicon Valley, brought to you by SiliconANGLE Media and its ecosystem partners. >> Welcome back to theCUBE. Our continuing coverage of our event, Big data SV. I'm Lisa Martin with my co-host George Gilbert. We're down the street from the Strata Data Conference, hearing a lot of interesting insights on big data. Peeling back the layers, looking at opportunities, some of the challenges, barriers to overcome but also the plethora of opportunities that enterprises alike have that they can take advantage of. Our next guest is no stranger to theCUBE, she was just on with me a couple days ago at the Women in Data Science Conference. Please welcome back to theCUBE, Ziya Ma. Vice President of Software and Services Group and the Director of Big Data Technologies from Intel. Hi Ziya! >> Hi Lisa. >> Long time, no see. >> I know, it was just really two to three days ago. >> It was, well and now I can say happy International Women's Day. >> The same to you, Lisa. >> Thank you, it's great to have you here. So as I mentioned, we are down the street from the Strata Data Conference. You've been up there over the last couple days. What are some of the things that you're hearing with respect to big data? Trends, barriers, opportunities? >> Yeah, so first it's very exciting to be back at the conference again. The one biggest trend, or one topic that's hit really hard by many presenters, is the power of bringing the big data system and data science solutions together. You know, we're definitely seeing in the last few years the advancement of big data and advancement of data science or you know, machine learning, deep learning truly pushing forward business differentiation and improve our life quality. So that's definitely one of the biggest trends. Another thing I noticed is there was a lot of discussion on big data and data science getting deployed into the cloud. What are the learnings, what are the use cases? So I think that's another noticeable trend. And also, there were some presentations on doing the data science or having the business intelligence on the edge devices. That's another noticeable trend. And of course, there were discussion on security, privacy for data science and big data so that continued to be one of the topics. >> So we were talking earlier, 'cause there's so many concepts and products to get your arms around. If someone is looking at AI and machine learning on the back end, you know, we'll worry about edge intelligence some other time, but we know that Intel has the CPU with the Xeon and then this lower power one with Atom. There's the GPU, there's ASICs, FPGAS, and then there are these software layers you know, with higher abstraction layer, higher abstraction level. Help us put some of those pieces together for people who are like saying, okay, I know I've got a lot of data, I've got to train these sophisticated models, you know, explain this to me. >> Right, so Intel is a real solution provider for data science and big data. So at the hardware level, and George, as you mentioned, we offer a wide range of products from general purpose like Xeon to targeted silicon such as FPGA, Nervana, and other ASICs chips like Nervana. And also we provide adjacencies like networking the hardware, non-volatile memory and mobile. You know, those are the other adjacent products that we offer. Now on top of the hardware layer, we deliver fully optimized software solutions stack from libraries, frameworks, to tools and solutions. So that we can help engineers or developers to create AI solutions with greater ease and productivity. For instance, we deliver Intel optimized math kernel library. That leverage of the latest instruction set gives us significant performance boosts when you are running your software on Intel hardware. We also deliver framework like BigDL and for Spark and big data type of customers if they are looking for deep learning capabilities. We also optimize some popular open source deep learning frameworks like Caffe, like TensorFlow, MXNet, and a few others. So our goal is to provide all the necessary solutions so that at the end our customers can create the applications, the solutions that they really need to address their biggest pinpoints. >> Help us think about the maturity level now. Like, we know that the very most sophisticated internet service providers who are sort of all over this machine learning now for quite a few years. Banks, insurance companies, people who've had this. Statisticians and actuaries who have that sort of skillset are beginning to deploy some of these early production apps. Where are we in terms of getting this out to the mainstream? What are some of the things that have to happen? >> To get it to mainstream, there are so many things we could do. First I think we will continue to see the wide range of silicon products but then there are a few things Intel is pushing. For example, we're developing this in Nervana, graph compiler that will encapsulate the hardware integration details and present a consistent API for developers to work with. And this is one thing that we hope that we can eventually help the developer community with. And also, we are collaborating with the end user. Like, from the enterprise segment. For example, we're working with the financial services industry, we're working with a manufacturing sector and also customers from the medical field. And online retailers, trying to help them to deliver or create the data science and analytics solutions on Intel-based hardware or Intel optimized software. So that's another thing that we do. And we're seeing actually very good progress in this area. Now we're also collaborating with many cloud service providers. For instance, we work with some of the top seven cloud service providers, both in the U.S. and also in China to democratize the, not only our hardware, but also our libraries and tools, BigDL, MKL, and other frameworks and libraries so that our customers, including individuals and businesses, can easily access to those building blocks from the cloud. So definitely we're working from different factors. >> So last question in the last couple of minutes. Let's kind of vibe on this collaboration theme. Tell us a little bit about the collaboration that you're having with, you mentioned customers in some highly regulated industries, for as an example. But a little bit to understand what's that symbiosis? What is Intel learning from your customers that's driving Intel's innovation of your technologies and big data? >> That's an excellent question. So Lisa, maybe I can start my sharing a couple of customer use cases. What kind of a solution that we help our customer to address. I think it's always wise not to start a conversation with the customer on technology that you deliver. You want to understand the customer's needs first. And then so that you can provide a solution that really address their biggest pinpoint rather than simply selling technology. So for example, we have worked with an online retailer to better understand their customers' shopping behavior and to assess their customers' preferences and interests. And based upon that analysis, the online retailer made different product recommendations and maximized its customers' purchase potential. And it drove up the retailer's sales. You know, that's one type of use case that we have worked. We also have partnered with the customers from the medical field. Actually, today at the Strata Conference we actually had somebody highlighting, we had a joint presentation with UCSF where we helped the medical center to automate the diagnosis and grading of meniscus lesions. And so today actually, that's all done manually by the radiologist but now that entire process is automated. The result is much more accurate, much more consistent, and much more timely. Because you don't have to wait for the availability of a radiologist to read all the 3D MRI images. And that can all be done by machines. You know, so those are the areas that we work with our customers, understand their business need, and give them the solution they are looking for. >> Wow, the impact there. I wish we had more time to dive into some of those examples. But we thank you so much, Ziya, for stopping by twice in one week to theCUBE and sharing your insights. And we look forward to having you back on the show in the near future. >> Thanks, so thanks Lisa, thanks George for having me. >> And for my co-host George Gilbert, I'm Lisa Martin. We are live at Big Data SV in San Jose. Come down, join us for the rest of the afternoon. We're at this cool place called Forager Tasting and Eatery. We will be right back with our next guest after a short break. (electronic outro music)