(upbeat music) >> Welcome back to Supercloud 22. I'm John Furrier, your host of "The Cube." We're here for a live performance in studio bringing all the thought leaders around this concept of Supercloud, which is a consortium of the smartest people in the industry, the the Cloudaratti some say, or just people in the field building out next generation Cloud technologies for businesses, for the industry, you know, software meets infrastructure at scale and platforms. All great stuff. We have an expert here, Cube alumni and friend of ours, Howie Xu, VP of machine learning and AI at Zscaler, hugely successful company, platform, whatever you want to call it. They're definitely super clouding in their own. Howie, great to see you. Thanks for spending time with us to unpack and grock the direction of the industry that we see. We call it Supercloud. >> Hey, John, great to be back. I'm expecting a nice very educational and interesting conversation here again. >> Yeah, well, you know, one of the things I love talking with you about is you're deep on the technology side, as well as you got the historian view like we do. We've seen the movies before, we've seen the patterns, and now we're seeing structural change that has happened, that's cloud. Thank you very much, AWS. And as your GCP and others. Now we're seeing structural change happening in real time and we want to talk about it as it's happening. This is the purpose of this event. And that is that Cloud is one. Okay, great Cloud operations, on premises and Edge are emerging. Software is open source. It's the perfect storm for innovation and new things are emerging. You're seeing companies like Snowflake, and Databricks, and Zscaler all building great products. But now it's not one thing anymore. It's a lot of things going on. So what is your take on Supercloud? How do you see this evolving? What is some of the structural change that's happening in your mind? >> Yeah, so when you first reached out a few weeks ago about this event, I was like, "Hey, what is Supercloud." I know you tweeted a little bit here and there, but I never really, you know, double clicked, right. So I actually listened to some of your episodes you know, the previous conversations. You know, I would say the way you define Supercloud is it's not just the multi-cloud. The multi-Cloud is probably one aspect of it, right. You know, it's actually more beyond that, right. You know, a little bit, you know, towards past, a little bit more towards the flexibility, and then, you know, including, and also you want to include the on-prem, the edge, not just the Big 3 cloud, right. So there is a lot of the, let's say hybrid, more inclusive, right. So, the way I look at it is it's now very different from my imagination of where the Cloud would be, should be 10, 12 years ago. Because, you know, at that time it was, you know, on-prem dominant and then we say, hey, let's go cloud. I never for a second thought, you know, we would've ditch the on-prem completely, right. You know, on-prem has its own value. It's own kind of characteristics we wanted to keep, right. But the way we went for the last 10 years is, hey, Cloud, Cloud everywhere. We embrace Cloud. You know, the way I look at architecture is always very much like a pendulum, right? We swung from decentralized in the mainframe days, you know back in the days, to more distributed, right, PC, kind of a architecture, you know, servers in your own data center. And then to the now, the Cloud, the Big 3 Cloud in particular, right. I think in the next 10, 15, 20 years, it will swing back to more decentralized, more distributed architecture again. Every time you have a swing, because there is some fundamental reason behind that, we all knew the reason behind the current swing to the Cloud. It's because hey, the on-prem data center was too complex, right. You know, too expensive, right. You know, it would've take at least the six months to get any business application going, right. So compared to Cloud, a swipe a credit card, frictionless, you know, pay as you go, it's so great. But I think we are going to see more and more reason for people to say, "Hey, I need a architecture the other way around because of the decentralized the use case," right. Web3 is one example. Even though Web3 is still, you know, emerging right, very, very early days. But that could be one reason, right? You mentioned the Zscaler is kind of a Supercloud of its own, right? We always embrace public Cloud, but a lot of the workloads is actually on our own, you know, within our own data center. We take advantage of the elasticity of the public Cloud, right. But we also get a value, get a performance of our private Cloud. So I want to say a company like Zscaler taking advantage of the Supercloud already, but there will be more and more use cases taking advantage. >> And the use cases are key. Let me just go back and share something we had on the panel earlier in the day, the Cloudaratti Panel. Back in 2008, a bunch of us were getting together and we kind of were riffing, oh yeah, the future's going to be web services and Clouds will talk to each other, workloads can work across this (indistinct) abstraction layer, APIs is going to be talking to each other. A little bit early but we tried to think about it in terms of the preferred architecture. Okay, way too early. Yeah. AWS was just getting going, really kind of pumping on all cylinders there, getting that trajectory up. But it was use case driven. The nirvana never happened. I mean, we were talking Supercloud back then with the Cloudaratti group and we were thinking, okay, hey this is cool. But it was just an evolutionary thing. So I want to get your reaction. Today, the use cases are different. It's not just developers deploying on public Cloud to get all those greatness and goodness of the Cloud, to your point about Zscaler and others, there's on premises use cases and edge use cases emerging. 5g is right there. That's going to explode. So, the use cases now are all Cloud based. Again, this is an input into what we're seeing around Supercloud. How do you see that? What's your reaction to that? And how do you see that evolving so that the methodologies and all the taxonomies are in place for the right solution? >> Right, I mean, you know, some of the use cases are already here, you know, have been here for the last few years. And again, I mentioned a Zscaler, right. The reason that a Zscaler needs the on-prem version of it is because it's impossible to route all the traffic to the Big 3 Cloud, because they're still far away. Sometimes you need the presence much closer to you in order for you to get the level of the performance latency you want, right. So that's why Zscaler has, you know, so many data center of our own instead of leveraging the public Cloud, you know, for most part. However, public Cloud is still super important for Zscaler. I can tell you a story, right. You know, two years ago, you know, at the beginning of the pandemics, everyone started working from home suddenly, right. You are talking about Fortune 500 companies with 200,000 employees, suddenly having 200,000 employees working from home. Their VPN architecture is not going to support that kind of the workload, right? Even Zscaler's own architecture or the presence is not enough. So overnight we just, having so many new workloads, to support this work from home, the zero trust network for our customers, literally overnight. So it wouldn't have happened without public Cloud. So we took advantage of the public Cloud. Yet at the same time, for many, many use cases that Zscaler is paying attention to in terms of the zero trust architecture, the latency, the latency guarantee aspect, the cost is so important. So we kind of take it advantage of both. >> Yeah, definitely. >> Today you may say, hey, you know, Zscaler is one of the, not a majority of the companies in terms of the Cloud adoption or public Cloud adoption, right. But I can say that, yeah, that's because it's more infrastructure, security infrastructure. It's a little bit different for some of the communication applications, right. Why not just support everything on the public Cloud? That's doable today. However, moving forward next to 5, 10, 15 years, we expect to see Web3 kind of the use cases to grow more and more. In those kind of decentralized use cases, I can totally see that we, you know, the on-prim presence is very important. >> Yeah. One of the things we're seeing with Supercloud that we're kind of seeing clarity on is that there's a lot of seamless execution around, less friction around areas that require a PhD or hard work. And you're seeing specialty Superclouds, apps, identity data security. You're also seeing vertical clouds, Goldman Sachs doing financial applications. I'm sure there'll be some insurance. People in these verse. Building on top of the CapEx on one Cloud really fast and moving to others. So that's clearly a trend. The interesting thing I want to get your thoughts on, Howie, on an architectural basis is in Cloud, public Cloud generally, SaaS depends on IAS. So there's an interplay between SaaS and the infrastructures of service and pass as well. But SaaS and IAS, they solve a lot of the problems. You mentioned latency. How do you see the interplay of these Superclouds that utilize the SaaS IS relationship to solve technical problems? So in architecturally, that's been a tight integration on these Clouds, but now as you get more complexity with Supercloud, how do you see SaaS applications changing? >> Yeah, I view the Supercloud is actually reduced the complexity. The reason I'm saying that is, think about it in the world where you have predominantly public Cloud kind of the architecture, right? 10 years ago, AWS has probably 20 services. Now they probably have, you know, more than 1,000 services. Same thing with Azure, same thing with GCP. I mean, who can make sense out of it, right. You know, if you just consume the eyes or the Big 3 Cloud service as is. You know, you need a PhD these days to make sense all of them. So the way I think about Supercloud or where, you know it is going, is it has to provide more simplicity, a better way for people to make sense out of it, right. Cause if I'm an architecture and I have to think, hey, this is a public Cloud, this is a multi-Cloud, and by the way, certain things need to be run on the on-prem. And how do I deal with the uniform nature of it? My mind would blow up. So I need a higher level abstraction. That higher level abstraction will hide the complexity of the where it is, which vendor. It will only tell me the service level, right. You know, we always say, you know, the Cloud is like electricity. I only wanted to know is that like 110 volt or 220, 240, whatever that is. I don't really want to know more than that, right. So I want to say a key requirement for the Supercloud is it's reduced the complexity, higher level abstraction. It has to be like that. >> And operational consistencies at the bottom. Howie, we have one minute left. I want to get your thoughts. I'd like you to share what you're working on that you're excited about. It doesn't have to be with Zscaler. As you see the Supercloud trend emerging, this is the next generation Cloud, Cloud 2.0, whatever we want to call it, it's happening. It's changing. It's getting better. What are you excited about? What do you see as really key inflection point variables in this big wave? >> Yeah. One of the things I really like, what I heard from you in the past about Supercloud is a Supercloud is not just a one Cloud or one vendor. It's almost like every company should have its own Supercloud, right. You're talking about JP Morgan, Goldman Sachs of the world, that they need to have their own Supercloud. Zscaler and their security vendors, they may have their own Cloud. So I think every Fortune 500, Fortune 2,000 companies will have its own Supercloud. So I'm excited about that. So why that's important? We also say that, you know, in the next 10, 20 years, AI machine learning is going to help us a lot, right. So without Supercloud, it's very hard to do AI machine learning. 'Cause if you don't have a place that you know where the data is, and then it's pretty hard. And in the context of Supercloud, I totally foresee that the AI model will follow the data. If the data is in the cloud, it will go there. If the data is on-prem, it will go there. And then the Supercloud will hide the complexity of it. So if you ask me, my passion is leveraging AI machine learning to change the world, but Supercloud will make that easier, right. If you think about why Google, Facebook of the world, are able to leverage AI better than 99% of the rest of the world, because they figure out the Supercloud for themselves, right. And I think now it's the time for the rest of the Fortune 500, of Fortune 2,000 company to figure out its own Supercloud strategy. What is my Supercloud? I need to have my own Supercloud. Each company needs to have its own Supercloud. That's how I see it. >> Howie, always great to have you on. Thanks so much for spending the time and weighing in on this really important topic. We're going to be opening this up. It's not over. We're going to continue to watch the change as it unfolds and get an open community perspective. Thank you so much for being a great expert in our network and community. We really appreciate your time. >> Thank you for having me. >> Okay. Okay, that's it. We'll be up with more coverage here, Supercloud event, after this short break. I'm John Furrier, host of "The Cube." Thanks for watching. (upbeat music)

(digital music) >> Welcome to this CUBE Conversation. I'm Lisa Martin. Bren Briggs, joins me next, the Director of DevOps and Cybersecurity at Hypergiant. Bren, welcome to theCUBE. >> Hey there, I'm glad to be here. >> You have a very cool background, which I wish we had time to get into your mandolin playing, but we don't. Tell me a little bit about Hypergiant this is a company that's new to me? >> So we are an AI and Machine Learning Company, and we had the slogan we talked about a lot, it's almost tongue in cheek, "Tomorrowing Today" where we want to build and focus on technology that advances the state-of-the-art and we want to, where this deep history and background in services, where we build custom solutions for companies that have data problems and that have AI and machine learning problems. And they come to us and we help them make sense of their data and we build a custom software solution from top to bottom. And we help them with their data problems and their really difficult problems that they have there in a very specialized way. And yeah, that's what we do. It's really fun. >> "Tomorrowing Today", I like that build T-shirts with that on that. (Bren chuckles) So talk to me about the work that you guys are doing with SUSE Rancher Government Labs. You're doing some very cool work with the air force, help me understand that. >> Sure, so about a year and some change ago, we had a government contract, an air force contract, to develop some new or just to basically write an experiment with some new sensing technology onboard a satellite. So we built this satellite, we were talking about how we're going to employ DevOps' best practices on the satellite and if that's even a thing that can be done. How we get these rights of space and really thinking through the entire process. And as we did this, we were getting more and more deeply involved with a very very new group. Actually, we kind of started at the same time. A new group within the air force called, Platform One. Platform One's mission is to bring DevSecOps to the DoD Enterprise. And so as we're kind of starting off together and getting to know each other, Rob Slaughter who started and ran Platform One for the first bit of his existence, he said, "hey, we're going to incorporate some Platform One stuff into this. Let's talk about just building an actual Platform One satellite and see what that looks like." And so that was kind of the start of this whole idea was what do we do and how do we do DevSecOps in low Earth orbit? Can we put Kubernetes on satellite and will it work? >> And tell me some of the results? So, I used to work for NASA, so I would geek out on anything that has to do with the space program. But talk to me about some of the things that you uncovered bringing Kubernetes, AI, machine learning to this, outer Edge of Earth? >> I think the first thing that we learned that I think, it's an understatement to say that space is hard. (Both laughing) But it really is. And that was the part that we learned about was it was hard in all of the ways that we did not expect. And a lot of it had to do with just government and logistics. We learned that it is difficult a lot of times to just to find a way to get into space and then once you're there, how you operate in the conditions that you're in and how you could even communicate with your satellite is it's just a logistical adventure on top of all of the other engineering problems that you have while you're on low Earth orbit? The other thing that we figured out was awkward things are difficult. While you're on orbit, they can be slow or fragmented and so it pays to get it right the first time but that's not the nature of modern software development is you'd never get it right and you're continually updating. So that was a problem that really nagged us for awhile was after we did the wider experiment, like how would we continuously update this and what would we do? And those ideas and questions fed into the experiment that became Sat One and then the follow one much bigger experiment that became the Edge One and Edge working group. >> Tell me a little bit about the wider experiment, give me some context of how that relates to Platform One, Sat One? >> I can't (laughing) I can't really go into details about what wider did or anything like that. It was not a classified mission, it's just not something that I can disclose. >> Okay, got it. >> Sorry. >> So talk to me about some of the work that you guys are doing together Hypergiant with SUSE in terms of pushing forward the next generation of Kubernetes to low Earth orbit and beyond. >> Sure, so SUSE RGS, specifically, Chris Nuber, like, one of the things that I have to do is I have to be a cheerleader for all of the amazing people that were on this project. And two people in particular, Chris Tacke and Chris Nuber, were instrumental in making this work. I was like almost tangentially involved where I was doing some input and architecture and helping debug but it was really Chris Tacke and Chris Nuber that made this thing, that built this thing and made it work. And Chris Nuber, was our assigned resource from SUSE RGS. And he said, "Obviously SUSE is going to prefer, or SUSE is going to prefer SUSE products." That it makes sense. But there's a reason because the products that he implemented and the patterns that he implemented and the architecture and expertise that he brought were second to none, I don't think that we could have done better with any other distribution of Kubernetes. He recommended a K3s is a very lightweight Kubernetes distribution that had really good opinions. It's a single binary. It was very easy to deploy and manage and update and it just, it really didn't break. That was the best thing that we were looking for (chuckles) it was one solid piece with no moving parts, relatively speaking. And so Chris Nuber was very essential in providing the Kubernetes architecture while Chris Tacky was the one who helped us write some of the demo applications and build the fail over and out of band interaction that we were going to have from the hardware on the satellite to the Kubernetes control plane. >> Very cool. It sounds like you had a great collaborative team there, which is essential in any environment. >> We deed. >> And I liked how you described space as a logistical adventure that reminds me very much of my days at NASA. (Bren laughing) It definitely is a logistical adventure to put it mildly. Talk to me a little bit about the work that you're doing to define the Edge for the Department of Defense? That sounds very intriguing. >> Yeah, so this was almost a direct result of what happened with the sat one experiment where Rob Slaughter and a few of the other folks who saw what we did with sat one, you know, were again, logistical adventure. We built this entire thing and we worked so hard and we're moving through fright flight readiness checks and as things happen, funding kind of went. And so you've got all this experience and this like, prototype that this really confident that it's space ready and everything and they said, "hey, listen, you know, we have the same problem on our flight with terrestrial environments, they're nearly identical the only difference is, you know, you don't have to worry about radiation nearly as much." (laughing) So then, you know, we joked about that and we started this new idea, this Edge One idea as part of the AVMs program, where they're figuring out this new, like battlefield communications pattern of the future. And one of the things that they're really concerned about is secure processing and how do you do applications at like where people are stationed, which could be anywhere in very remote locations. Then that's what turned into Edge One is, you know, we imagined initially Edge One as satellite one without wings and earth bound and that grew into, well, what about submarines? What about carriers? What about command and control squadrons that are stationed in cities? What about special operators that are far forward? What about first responders who are moving into, you know, hazardous environmental conditions? Can you wear a Kubernetes cluster with like super low power arm chips? And so we started thinking of all these different applications of what Edge could be anywhere from a five volt board all the way up to a data center in a box. And that caused us to realize that we're going to break Edge into really three categories based on the amount of material or resources needed to power it and how hard it is to get to. So we have the Near Edge, which is, you know, you have data center like capabilities, and it's easy to get to it, but you, because you have people stationed with it, but you may have reached back once every month or so. So think, you know, a shift that's underway or an air gap system or something like that. And then you have a Tiny Edge, which is exactly like kind of the more traditional idea that you think of when you think of Edge, which is really, really tiny compute, maybe it's on a windmill or something I don't really know, pick your thing to put Kubernetes on that should never have Kubernetes, that's the kind of thing. And then you've got Far Edge, which is, you know, if the control plane crashes, good luck, you'll never getting to it. And so that would be a satellite. And so the far it... so really a lot of these, it depends on the failure mode. Like what happens when it fails and that for the most part defines kind of what category you're going to be in. >> Tiny Edge, Near Edge and Far Edge. I think Sir. Richard Branson and his team went to the Far Edge (chuckles) low Earth orbit >> He did (laughing). >> This last weekend, I guess, yeah. That low Earth orbit does seem like it would be the Far Edge. Talk to me a little bit about, I mean, you talk about these applications then from a defense perspective that very dramatically, what are some of the important lessons that you've learned besides if it breaks in the Far Edge, you're not getting to it. >> Some of the important lessons that we learned. So I actually did this exact job in the air force. I was a combat communicator, which meant that we took, by pure coincidence I'm back in this, like, I did not intend for this to happen its pure coincidence, (Lisa laughing) but, you know, we communicate, we went out to the Edge, right. We went out to the Near Edge and we did all of this stuff. And the biggest lesson, I think learning from doing this or doing that and then going into this is that the world doesn't have to revolve around SharePoint anymore (Lisa laughing) because we can shape our own habitation (Both laughing) >> That is good to know. >> If it can be done on SharePoint, the air force and the army will do it in SharePoint, I promise you. They've done some actually terrifying things with it. All joking aside though, I think that one of the things that we learned was the difference between like something being complex and complicated when it came to systems engineering and management, like this is a very complex system it's actually orders of magnitude more complex than the current deployments that are out there which is effectively VMware and you're migrating virtual machines across multiple physical nodes in these remote data centers. But it's also complicated, it's really difficult to manage these deployments and the hardware. And I remember like when I was in combat comm, we had this 72 hour goal to get all of our systems up. And it was kind of like a 50-50, if we would make it, it felt like most of the time where you had priorities for getting things up and running. And obviously, you know, that certain applications weren't as important as others. So they were the ones that had to fall on the wayside if you're going to make your 72 hour mark. But I'm just thinking about like how difficult it was to deploy and manage all of this stuff and now with Kubernetes, yes, the complexity is far higher, but we can make it so it's not as complicated. We can offload a lot of that brain sweat, the people in the rear echelon, where they can connect in remotely after you come up and you get reached back, they push your config and your mission profile is there. And now you're focused on the mission you're not focused on debugging pods, and you're focused on the mission and not focused on, you know, why my virtual machine didn't migrate or something like that. And we can get applications that are built in-house and updated continuously, and we can verify and validate the sources of where these things are coming from. And all of these are important problems to everybody, not just the military, but the military tends to have the money and the ability to think about these things first, 'cause that's where these problems tend to get solved first. >> So interesting. You've sort of had this circular experience being in the air force, now coming back and working on projects like this, what are some of the things that Hypergiant has learned? And some of the things that are next next for Hypergiant as a company? >> I think that we are getting really good at being a small contractor in the Federal space where we actually were just awarded an IDIQ with a cap of $950 million in a small group of, I think, 23 other companies. And so that shows right there the investment that the Federal Government has in us and the potential that they see for us to build and deliver these highly tailored and specialized solutions. The other thing that we've learned is how to form like coalitions to collaborate with a lot of these other smaller companies. I think that the days of seeing the Defense Industrial Base dominated by the same four people or five people are over. And it's not that these people, I mean, they've been, they've basically been propping up most of the defense industry for a very long time and I think a lot of people would argue that, you know, this is a problem, right, you have this near monopoly of a very few people, but the other thing is that they're not as nimble, they grow by acquisition and we have this ability to be highly tailored and specialized and we don't need to do everything in the world to survive. We can go and form coalitions with other groups to go solve a particular problem. Like we're great at AI and ML, and we're great at DevSecOps, then maybe we're not so great at, you know, hardware or you know, things like that. Like we can go partner up with these people and solve problems together and we don't have to be a Boeing to do it and you don't have to go hire a Boeing to do this. And I think that's really, really great, no slight to Boeing, but I think it's really great that it's a lot easier for smaller companies to do this and we are navigating this new world and we're bringing Agile into the government and that's, yeah, in some cases we have to drag them, kicking and screaming into this decade, but, you know, that's what we're doing and I'm very excited to see that because when I was in Agile and DevOps, those were words you didn't say, you weren't allowed to do that. >> No. >> Now they've done a complete 180, it's really cool. >> That's cool. I have a minimum that brings in thought diversity, having more companies to work with, but to your point, the agility that you bring in as a smaller company helping them to actually embrace Agile, that's huge because to your point, that's kind of historically not what government organizations are used to. So it sounds like a little bit they've learned a tremendous amount from working with small companies like Pepperdine. >> I like the thing so. Platform One is a fantastic example. So it was really started as a what we're calling software factories within the air force and within the DOD and other DOD branches have now started to replicate the pattern. So we have several software factories within the air force and Platform One is like the DevSecOps Software factory, and we have the ski camp and space camping, Kobayashi Maru and you're noticing a theme here (laughing) and so they're very nerdy names, but so we have these software factories and there's all these projects are being worked. But one of the amazing things I noticed when I showed up to work on the first day was that I had no idea who was uniformed and who was civilian. It was a completely badge off rank, off situation. Very few people showed up in uniform and the ones that did typically had their blouse off so you had no idea what their rank was. Everybody went by first name and we behaved like a start-up. And these civilians were coming from other startups like Hypergiant or a Timo or other very small, very specialized groups and SUSE RGS, of course they were there too and they're embedded in several different teams. And so you have this, like this quasi company that got this startup really that got formed and the culture is very, you know, very varies, you know, bay area startup type in some ways, for both better and worse. There's, I mean, we're, definitely full tilt on (laughs) on the Agile train there, but it's just, it's like nothing I've ever seen inside the DOD. And they're not just learning from these small companies and from Agile companies, but they're behaving like them. And it's spreading, they're seeing what work is getting done and what can be accomplished and how you can continuously deliver value instead of working for, you know, six or eight months and then showing the customer something and them hating it and you sending it back and, you know, it's more of a continuous improvement type thing. And I think that they're embracing that and I'm very excited to see it. >> That's important 'cause changing a culture is incredibly hard but seeing and hearing that they're embracing that is exciting. And I'm sure there's going to be many more things you could talk about generally, but I got to ask you if somebody like SUSE gave you $250,000, and you could buy one of the tickets on Branson's next flight, would you do it? >> I mean, yeah, why would I not? Like, how can I pass up a trip, (Lisa laughing) you know, go to the Edge of space. >> The Far Edge. >> Like yeah, the Far Edge, maybe I'll just, you know, hurdle the satellite out the window, as you know, we're up there, you know, peak and probably could throw it quite that fast, but we'll see. (Lisa laughing) But yeah, no, I think I would take the trip, yeah, that'd be fun. >> You're brave. Brave than I'm, I don't know. Well, Bren it's been delightful talking to you. Thank you for sharing what you guys at Hypergiant and SUSE have been doing together, the Department of Defense, the exciting things going on there and for the new definitions and my lexicon of the Edge, it's been great talking to you. >> Thank you, have a great day. >> You too. For Bren Briggs, I'm Lisa Martin. You're watching a CUBE Conversation. (digital music)

>> Thank you for coming to this talk. My name is Amir Safavi-Naeini I'm an Assistant Professor in Applied Physics at Stanford University. And today I'm going to talk about a platform that we've been developing here that allows for quantum and classical information processing using photons and phonons or mechanical motion. So first I'd like to start off, with a picture of the people who did the work. These are graduate students and postdocs in my group. In addition, I want to say that a lot of the work especially on polling of the Lithium niobate was done in collaboration with Martin Fejer's group and in particular Dr.Langrock and Jata Mishra and Marc Jankowski Now our goal is to realize a platform, for quantum coherent information processing, that enables functionality which currently does not exist in other platforms that are available. So in particular we want to have, a very low loss non-linearity that is strong and can be dispersion engineered, to be made broadband. We'd like to make circuits that are programmable and reconfigurable, and that necessitates having efficient modulation and switching. And we'd also really like to have a platform that can leverage some of the advances with superconducting circuits to enable sort of large scale programmable dynamics between many different oscillators on a chip. So, in the next few years what we're really hoping to demonstrate are few photon, optical nonlinear effects by pushing the strength of these non-linearities and reducing the amount of loss. And we also want to demonstrate these coupled, sort of qubit and many oscillators systems. Now the Material system, that we think will enable a lot of these advances is based on lithium niobate, so lithium niobate is a fair electric crystal. It's used very widely in optical components and in acousto optics and then surface acoustic wave devices. It's a fair electric crystal, that has sort of a built-in polarization. And that enables, a lot of effects, which are very useful including the piezoelectric effect, electro- optic effects. And it has a very large K2 optical non-linearity. So it allows for three wave mixing. It also has some effects that are not so great for example, pyroelectricity but because it's very, established material system there's a lot of tricks on how to deal with some of the less attractive parts of it of this material. Now most, Surface Acoustic Wave, or optical devices that you would find are based on kind of bulk lithium niobate crystals that either use surface acoustic waves that propagate on a surface or, you know, bulk waves propagating through a whole crystal, or have a very weak weakly guided low index contrast waveguide that's patterned in the lithium niobate. This was the case until just a little over a decade ago. And this work from ETH Zurich came showing that thin-film lithium niobate can be, bonded and patterned. And Photonic circuits very similar to assigning circuits made from three fives or Silicon can be implemented in this material system. And this really led to a lot of different efforts from different labs. I would say the major breakthrough came, just a few years ago from Marko Loncar, where they demonstrate that high quality factors are possible to realize in this platform. And so they showed resonators with quality factors in the tens of billions corresponding to, line widths of tens of megahertz or losses of, just a few, DB per meter. And so that really changed the picture and you know a little bit after that in collaboration with Martin Fejer's group at Stanford they were able to demonstrate polling and so very large this version engineered nonlinear effects and these types of waveguides. And, and so that showed that, sort of very new types of circuits can be possible on this platform Now our approach is very similar. So we have a thin film of lithium niobate and this time it's on Sapphire instead of oxide or some polymer. and sometimes we put oxide on top. Some Silicon oxide on top, and we can also put electrodes these electrodes can be made out of a superconductor like niobium or aluminum or they can be gold depending on what we're trying to do. The sort of important thing here is that the large index contrast means that, light is guided in a very highly confined waveguide. And it supports bends with small bending radii. And that means we can have resonators that are very small. So the mode volume for the photonic resonators can be very small and as is well known. The interaction rate scale is, one over squared of mode volume. And so we're talking about an enhancement of around six orders of magnitude in the interaction length interaction lengths, over systems using sort of bulk components. And this is in a circuit that's sort of sub millimeter in size and its made on this platform. Now interaction length is important but also quality factor is very important. So when you make these things smaller you don't want to make them much less here. That's, you know, you can look at, for example a second harmonic generation efficiency in these types of resonances and that scales as Q, to the power of three essentially. So you need to achieve, you win a lot by going to low loss circuits. Now loss and non-linearity or sort of material and waveguide properties that we can engineer, but design of these circuits, careful design of these circuits is also very important. For example, you know, because these are highly confined waves and dielectric wave guides they can, you can support several different orders of modes especially if you're working for a broad band light waves that span, you know, an octave. And now when you try to couple light in and out of these structures, you have to be very careful that you're only picking up the polarizations that you care about, and you're not inducing extra loss channels effectively reducing the queue, even though there's no material loss if you're these parasitic coupling, can lead to lower Q. so the design is very important. This plot demonstrates, you know, the types of extrinsic to intrinsic coupling that are needed to achieve very high efficiency SHG, which is unrelated to optical parametric oscillation. And, you know, you, so you sort of have to work in a regime where the extrinsic couplings are much larger than the intrinsic couplings. And this is generally true for any type of quantum operation that you want to do. So just just low material loss itself isn't enough to design is also very important. In terms of where we are, on these three important aspects like getting large G large Q and large cap up. So we've been able to achieve high Q in, in these structures. This is a Q a of a couple million, we've also been able to you can see from a broad transmission spectrum through a grading coupler you can see a very evenly spaced modes showing that we're only coupling to one mode family. And we can see that the depth of the modes is also very large, you know, 90% or more. And that means that our extrinsic coupling in intrinsic coupling is also very large. So we've been able to kind of engineer these devices and to achieve this in terms of the interaction, I won't go over it too much but, you know, in collaboration with Marty Feres group we were able to pull both lithium niobate on insulator and lithium niobate on Sapphire. We'll be able to see a very efficient, sort of high slope proficiency second harmonic generation, you know achieving approaching 5000% per watt centimeters squared for 1560 to 780 conversion. So this is all work in progress. And so for now, I'd like to talk a little bit about the integration of acoustic and mechanical components. So, first of all why would we want to integrate mechanical components? Well, there's lots of cases where, for example you want to have an extremely high extinction switching functionality. That's very difficult to do with electro optics because they need to control the phase, extremely efficiently with extreme precision. You would need very large, long resonators and or large voltages becomes very difficult to achieve you know, 60 DB types of, switching. Mechanical systems. On the other hand, they can have very small mode volumes and can give you 60 DB switching without too many complications. Of course the drawback is that they're slower, but for a lot of applications, that doesn't matter too much. So in terms of being able to make integrate memes, switching and tuning with this platform, here's a device that achieves that so that each of these beams is actuated through the Piezoelectric effect and lithium niobate via this pair of electrodes that we put a voltage across. And when you put a voltage across these have been designed to leverage one of the off diagonal terms in the piezoelectric tensor, which causes bending. And so this bending generates a very large displacement in the center of this beam, in this beam, you might notice is composed of a grading, and this grading effectively generates it's photonic crystal cavity. So it generates a localize optical mode in the center which is very sensitive to these displacements. And what we're able to see in this system is that you know, just a few millivolts so 50 millivolts here shifts the resonance frequency by much more than a line width just a few millivolts is enough to shift by a line width. And so to achieve switching we can also tune this resonance across the full telecom band and these types of devices whether in waveguide resonator form can be extremely useful for sort of phase control in a large scale system, where you might want to have many many face switches on a chip to control phases with, with low loss, because these wave guides are shorter. You have lower loss propagating across them. Now, these interactions are fairly low frequency. When we go to higher frequency, we can use the electro-optic effect. And even the electro-optic effect even though it's very widely used, and well-known on a Photonic circuit like these lithium Niobate for tying circuits has, interesting consequences and device opportunities that don't exist on the bulk devices. So for example, let's look at single sideband modulation. This is what an electro-optic sort of standard electro optics, single sideband modulator looks like you, you take your light, you split into two parts, and then you modulate each of these arms. You modulate them out of phase with an RFC tone that's out of phase. And so now you generate side bands on both and now because they're modulating out of phase when they are recombined and on the output splitter and this mock sender interferometer you end up dropping one of the side bands and then the pump and you end up with a shifted side pan. So that's possible you can do single side band modulation with an electronic device but the caveat is that this is now fundamentally lossy. So, you know, you have generated, this other side band via modulation, and the sideband is simply being lost due to interference. So it's their, It's getting combined, it's getting scattered away because there's no mode that it can get connected to. So actually you know, this is going kind of an efficiency less than 3DB usually much less than 3DB. And that's fine if you just have one of these single sideband modulators because you can always amplify, you can send more power but if you're talking about a system and you have many of these and you can't put amplifiers everywhere then, or you're working with quantum information where loss is particularly bad. This is not an option. Now, when you use resonators, you have another option. So here's a device that tries to demonstrate this. This is two resonators that are brought into the near-field of each other. So they're coupled with each other over here where they're, which causes a splitting. And now when we tune the DC voltage was tuned one of these resonators by sort of changing the effective half lengths And one of these resonators tunes, the frequency, we can see an We should see an anti crossing between the two modes and at the center of this splitting this is versus voltage, a splitting at the center at this voltage, let's say here it's around 15 volts. We can see two residences two dips, when we probed the line field going through. And now if we send in the pump resonant, with one of these, and we modulate at this difference frequency we generate this red side band but we actually don't generate the blue side band because there's no optical density of state. So the, so because there's this other side may has just not generated. This system is now much more efficient. In fact, so in Marco Loncar has give they've demonstrated. You can get a hundred percent conversion. And we've also demonstrated this in a similar experiment showing that you can get very large sideband suppression. So, you know more than 30 DB suppression of the side bands with respect to the sideband that you care about It's also interesting that these interactions now preserve quantum coherence. And this is one path to creating links between superconducting microwave systems and optical components. Because now the microwave signal that's scattered here preserves its coherence. So we've also been able to do acoustic optic interactions at these high frequencies. This is a, this is an acoustic optic modulator that operates at a few gigahertz. Basically you generate electric field here which generates a propagating wave inside this transducer made out of lithium niobate. These are aluminum electrodes on top. The phonons are focused down into a small phononic waveguides that guides mechanical waves. And then these are brought into this crystal area where the sound and the Mo and the light are both convert confined to wavelength skill mode volume and they interact very strongly with each other. And the strong interaction leads to very efficient, effective electro-optic modulation. So here we've been able to see, with just a few microwatts of power, many, many side bands being generated. So this is a fact that they like tropic much later where the VPI is, a few thousands of a volt instead of, you know, several volts, which is sort of the off the shelf, electro-optic modulator that you would find. And importantly, we've been able to combine these, photonic and phononic circuits into the same platform. So this is a lithium niobate on same Lithium niobate on Sapphire platform. This is an acoustic transducer that generates mechanical waves that propagate in this lithium niobate waveguide. You can see them here and we can make phononic circuits now. so this is a ring resonate. It's a ring resonator for phonons. So we send sound waves through. And when it's resonance, when its frequency hits the ring residences, we see peaks. and this is, this is cheeks in the drop port coming out. And what's really nice about this platform is that we actually don't need to unlike unlike many memes platforms where you have to have released steps that are usually not compatible with, you know other devices here, there's no release steps. So the phonons are guided in that thin lithium niobate layer. The high Q of these mechanical modes shows that these mechanical resonances can be very coherent oscillators. And so we've also worked towards integrating these with very non-linear microwave circuits to create strongly interacting phonons and phonon circuits. So this is a example of an experiment we did over a year ago, where we have sort of a superconducting Qubit circuit with mechanical resonances made out of lithium niobate shunting the Qubit capacitor to ground. So now vibrations of this mechanical oscillator generate a voltage across these electrodes that couples to the Qubits voltage. And so now you have an interaction between this qubit and the mechanical oscillator, and we can see that in the spectrum of the qubit as we tune it across the frequency band. And we see splittings every time the qubit frequency approaches the mechanical resonance frequency. And infact this coupling is so large, that we were able to observe for the first time, the phonon spectrum. So we can detune this qubit away from the mechanical resonance. And now you have a dispersive shift on the qubit which is proportional to the number of phonons. And because number of photons is quantized. We can actually see, the different phonon levels in the qubit spectrum. Moving forward, we've been trying to, also understand what the sources of loss are in the system. And we've been able to do this by demonstrating by fabricating very large rays in these mechanical oscillators and looking at things like, their quality factor versus frequency. This is an example of a measurement that shows a jump in the quality factor when we enter the frequency band where we expect our phononic band gap for this period, periodic material is this jump you know, in principle,if loss were only due to clamping only due to acoustic waves leaking out in these out of these ends, then this change in quality factor quality factor should go to essentially infinite or should be ex exponential losses should be exponentially suppress with the length So these, but it's not. And that means we're actually limited by other loss channels. And we've been able to determine that these are two level systems and the lithium niobate by looking at the temperature dependence of these losses and seeing that they fit very well sort of standard models that exist for the effects of two level systems on microwave and mechanical resonances. We've also started experimenting with different materials. In fact, we've been able to see that, for example, going to lithium niobate, that's dope with magnesium oxide changes or reduces significantly the effect of the two level systems. And this is a really exciting direction of research that we're pursuing. So we're understanding these materials. So with that, I'd like to thank the sponsors. NTTResearch, of course, a lot of this work was funded by DARPA, ONR, RAO, DOE very generous funding from David and Lucile Packard foundation and others that are shown here. So thank you.

>>from around the globe. It's the Cube with digital coverage of CONMEBOL. Future ready 2020. Brought to you by combo. >>Hi and welcome back. I'm Stew Minuteman, and we're at the Cube's coverage of Con Volt Future Ready. You've got the power panel to really dig in on the product announcements that happened at the event today. Joining me? We have three guests. First of all, we have Brenda Rajagopalan. He's the vice president of products. Sitting next to him is Don Foster, vice president of Storage Solutions. And in the far piece of the panel Mersereau, vice president of Global Channels and Alliances. All three of them with Conn Volt. Gentlemen, thanks all three of you for joining us. Exactly. All right, so first of all, great job on the launch. You know, these days with a virtual event doing, you know, the announcements, the engagement with the press and analyst, you know, having demos, customer discussions. It's a challenge to put all those together. And it has been, you know, engaging in interesting watch today. So we're going to start with you. You've been quite busy today explaining all the pieces, so just at a very high level if you put this really looks like the culmination of the update with Conn Volt portfolio new team new products compared to kind of a year, year and 1/2 ago. So just if you could start us off with kind of the high points, >>thank you still, yeah, absolutely exciting day for us today. You did comrade multiple reasons for that excitement and go through that we announced an exciting new portfolio today knows to not the culmination. It's a continuation off our journey, a bunch of new products that we launched today Hyper scaler X as a new integrated data protection appliance. We've also announced new offerings in data protection, backup and recovery, disaster recovery and complete data protection and lots of exciting updates for Hedwig and a couple of weeks like we introduced updates for metallic. So, yes, it's been a really exciting pain. Also, today happens to be the data, and we got to know that we are the leader in Gartner Magic Quadrant for the ninth consecutive. I am so a lot of goodness today for us. >>Excellent. Lots of areas that we definitely want to dig deep in to the pieces done. You know, we just heard a little bit about Hedvig was an acquisition a year ago that everybody's kind of looking at and saying Okay, you know, will this make them compete against some of their traditional partners? How we get integrated in So, baby, just give us one level deeper on the Hedvig piece on what that means to the portfolio? Yeah, sure, So I >>guess I mean, one of the key things that the random mentioned was the fact that had hyper scale that's is built off the head Day files. So that's a huge milestone for us. As we teased out maybe 10 months ago. Remember, Tomball, Go on the Cube and talking about, you know, kind of what our vision and strategy was of unifying data and storage management. Those hyper hyper scale X applying is a definite milestone improving out that direction. But beyond just the hyper scale ECs, we've also been driving on some of the more primary or modern workloads such as containers and the really interesting stuff we've come out with your recently is the kubernetes native integration that ties in all of the advanced component of the head to distribute storage architecture on the platform itself across multi cloud and on premise environments, making it really easy and policy driven. Um, for Dev, ops users and infrastructure users, the tie ins applications from a group, Friction >>Great and Mercer. There's some updates to the partner program and help us understand how all of these product updates they're gonna affect the kind of the partnerships and alliances beasts that you want. >>Absolutely. So in the time since our last meeting that go in the fall, which is actually right after I had just doing combo, we spent a good portion of the following six months really talking with partners, understanding the understand the impact of the partner program that we introduced last summer, looking at the data and really looking at barriers to evolve the program, which fell around three difference specific. Once you bet one was simplicity of the simplicity of the program, simplicity of understanding, rewards, levers and so forth. The second was paying for value was really helping, helping our partners to be profitable around things like deal registration on other benefits and then third was around co investment. So making sure that we get the right members in place to support our partners and investing in practices. Another training, another enablement around combo and we launched in over these things last week is a part of an evolution of that program. Today is a great follow on because in addition to all of the program evolutions that we we launched last week now we have an opportunity with our partners to have many more opportunities or kind of a thin into the wedge to open up new discussions with our customers now around all of these different use cases and capabilities. So back to that simplification angle, really driving more and more opportunities for those partners toe specific conversations around use cases. >>Okay, for this next question, I think it makes sense for you to start. Maybe maybe Don, you can get some commentary in two. But when he's firstly the announcements, there are some new products in the piece that you discuss but trying to understand, you know, when you position it, you know, do you call the portfolio? Is it a platform? You know, if I'm an existing Conn Volt customer, you know, how do I approach this? If I use something like metallic, how does that interplay with some of the new pieces that were discussed today. >>Sure, I can take the business. I'm sure Don and mostly will have more data to it. The simplest way to think about it is as a port for you. But contrary to how you would think about portfolio as independent products, what we have is a set off data management services granular. We're very aligned to the use case, which can all inter operate with each other. So maybe launched backup and recovery and disaster recovery. These can be handled separately, purchased separately and deployed standalone or for customers who want a combination of those capabilities. We also have a complete data protection are fine storage optimization, data governance E discovery in complaints are data management services that build on top off any of these capabilities now a very differentiating factor in our platform owners. All the services that you're talking about are delivered off the same software to make it simpler to manage to the same year. So it's very easy to start with one service and then just turn on the license and go to other services so I can understand the confusion is coming from but it's all the same. The customer simplicity and flexibility in mind, and it's all delivered off the same platform. So it is a portfolio built on a single Don. Would you like to add more to it? >>Yeah, I think the interesting thing due to add on top of that is where we're going with Hedvig Infrastructure, the head of distributed storage platform, uh, to to run this point, how everything is integrated and feed and work off of one another. That's the same idea that we have. We talked about unifying data and storage manager. So the intricate storage architecture components the way data might be maneuvered, whether it's for kubernetes for virtual machines, database environments, secondary storage, you name it, um, we are. We're quickly working to continue driving that level of of unification and integration between the portfolio and heads storage, distribute storage platforms and also deliver. So what you're seeing today going back to, I think wrong his first point. It's definitely not the culmination. It's just another step in the direction as we continue to innovate and integrate this >>product, and I think for our partners what this really does, it allows them to sell around customer use cases because it'll ask now if I have a d. Our use case. I can go after just PR. If I have a backup use case, I can just go after backup, and I don't have to try to sell more than that. Could be on what the customer is looking for in parallel that we can steal these things in line with the customer use case. So the customer has a lot of remote offices. They want to scale Hedvig across those they want to use the art of the cloud. They can scale these things independently, and it really gives us a lot of optionality that we didn't have before when we had a few monolithic products. >>Excellent. Really reminds me more of how I look at products if I was gonna go buy it from some of the public cloud providers living in a hybrid cloud. World, of course, is what your customers are doing. Help us understand a little bit, you know, Mercer talked about metallic and the azure partnership, but for the rest of the products, the portfolio that we're talking about, you know, does this >>kind >>of work seamlessly across my own data center hosting providers Public Cloud, you know, how does this fit into the cloud environment for your customer? >>Yes, it does. And I can start with this one goes to, um it's our strategy is cloud first, right? And you see it in every aspect of our product portfolio. In fact, I don't know if you got to see a keynote today, but Ron from Johns Hopkins University was remarking that comment has the best cloud native architectures. And that's primarily because of the innovation that we drive into the multi cloud reality. We have very deep partnerships with pretty much all the cloud vendors, and we use that for delivering joint innovation, a few things that when you think of it from a hybrid customers perspective, the most important need for them is to continue working on pram while still leveraging the cloud. And we have a lot of optimization is built into that, and then the next step of the journey is of course, making sure that you can recover to the cloud would be it work load. Typically your data quality and there's a lot of automation that we provide to our solutions and finally, Of course, if you're already in the cloud, whether you're running a science parents or cloud native, our software protects across all those use cases, either true sass with metallic auto downloadable software, backup and recovery so we can cover the interest victims of actual presence. You. We do definitely help customers in every stage of their hybrid cloud acceleration journey. >>And if you take a look at the Hedvig protect if you take a look at the head back to, um, the ability to work in a cloud native fast, it is essentially a part of the DNA of that storage of the storage, right? So whether you're running on Prem, whether you're running it about adjacent, set up inside the cloud head, that can work with any compute environment and any storage environment that you went to essentially then feed, we build this distributed storage, and the reason that becomes important. It's pretty much highlighted with our announcement around the kubernetes and container support is that it makes it really easy to start maneuvering data from on Prem to the cloud, um, from cloud to cloud region to region, sort of that high availability that you know as customers make cloud first a reality and their organizations starts to become a critical requirement or ensuring the application of and some of the things that we've done now with kubernetes in making all of our integration for how we deliver storage for the kubernetes and container environments and being that they're completely kubernetes native and that they can support a Google in AWS and Azure. And of course, any on premises community set up just showcases the value that we can provide in giving them that level of data portability. And it basically provides a common foundation layer, or how any sort of the Dev ops teams will be operating in the way that those state full container state workloads. Donna Oh, sorry. Go >>ahead, mark area >>because you mentioned the metallic and azure partnership announcement and I just want to get on that. And one thing that run dimension, which is we are really excited about the announcement of partnership with Microsoft and all the different news cases that opens up that are SAS platform with Azure with office 3 65 and all of the great application stack it's on. If you're at the same time, to run this point. We are a multi cloud company. And whether that is other of the hyper scale clouds Mess GC, P. Ali at Oracle and IBM, etcetera, or Oliver, Great service writer burners. We continue to believe in customer choice, and we'll continue to drive unique event innovations across all of those platforms. >>All right, Don, I was wondering if we could just dig in a little bit more on some other kubernetes pieces you were talking about. Let me look at just the maturation of storage in general. You know, how do we had state back into containers in kubernetes environments? Help us see, You know what you're hearing from your customers. And you know how you how you're ready to meet their needs toe not only deliver storage, but as you say, Really? You know, full data protection in that environment? >>Certainly it So I mean, there's been a number of enhancements that happened in the kubernetes environment General over the last two years. One of the big ones was the creation of what the visit environment calls a persistent volume. And what that allows you to do is to really present storage to a a communities application. Do it be typically through what's called a CSR container storage interface that allows for state full data to be written, storage and be handled and reattached applications as you leverage them about that kubernetes. Um, as you can probably imagine that with the addition of the additional state full applications, some of the overall management now of stateless and state collapse become very talent. And that's primarily because many customers have been using some of the more traditional storage solutions to try to map that into these new state. Full scenario. And as you start to think about Dev ops organization, most Dev ops organizations want to work in the environment of their choice. Whether that's Google, whether that's AWS, Microsoft, uh, something that might be on Prem or a mix of different on Prem environments. What you typically find, at least in the kubernetes world, is there's seldom ever one single, very large kubernetes infrastructure cluster that's set to run, Dev asked. The way and production all at once. You usually have this spread out across a fairly global configuration, and so that's where some of these traditional mechanisms from traditional storage vendors really start to fall down because you can apply the same level of automation and controls in every single one of those environments. When you don't control the storage, let's say and that's really where interfacing Hedvig and allowing that sort of extension distribute storage platform brings about all of this automation policy control and really storage execution definition for the state. Full statehood workloads so that now managing the stateless and the state full becomes pretty easy and pretty easy to maintain when it comes to developing another Dev branch or simply trying to do disaster recovery or a J for production, >>any family actively do. That's a very interesting response, and the reality is customers are beginning to experiment with business. Very often they only have a virtual environment, and now they're also trying to expand into continuous. So Hedwig's ability to service primary storage for virtualization as well as containers actually gives their degree of flexibility and freedom for customers to try out containers and to start their contingent. Thank you familiar constructs. Everything is mellow where you just need to great with continuous >>Alright, bring a flexibility is something that I heard when you talk about the portfolio and the pricing as to how you put these pieces together. You actually talked about in the presentation this morning? Aggressive pricing. If you talk about, you know, kind of backup and recovery, help us understand, You know, convo 2020 how you're looking at your customers and you know how you put together your products, that to meet what they need at that. As you said, aggressive pricing? >>Absolutely. And you use this phrase a little bit earlier is to blow like flexibility. That's exactly what we're trying to get to the reason why we are reconstructing our portfolio so that we have these very granular use case aligned data management services to provide the cloud like flexibility. Customers don't have the same data management needs all the time. Great. So they can pick and choose the exact solution that need because there are delivered on the same platform that can enable out the solution investment, you know, And that's the reality. We know that many of our customers are going to start with one and keep adding more and more services, because that's what we see as ongoing conversations that gives us the ability to really praise the entry products very aggressively when compared to competition, especially when we go against single product windows. This uses a lot of slammed where we can start with a really aggressively priced product and enable more capabilities as we move forward to give you an idea, we launched disaster recovery today. I would say that compared to the so the established vendors India, we would probably come in at about 25 to 40% of the Priceline because it depends on the environment and what not. But you're going to see that that's the power of bringing to the table. You start small and then depending on what your needs are, you have the flexibility to run on either. More data management capabilities are more workloads, depending on what your needs will be. I think it's been a drag from a partner perspective, less with muscle. If you want a little bit more than that, >>yes, I mean, that goes back to the idea of being ableto simply scale across government use functionality. For example, things like the fact that our disaster recovery offering the Newman doesn't require backup really allows us to have those Taylor conversations around use cases, applications >>a >>zealous platforms. You think about one of the the big demands that we've had coming in from customers and partners, which is help me have a D R scenario or a VR set up in my environment that doesn't require people to go put their hands on boxes and cables, which was one of those things that a year ago we were having. This conversation would not necessarily have been as important as it is now, but that ability to target those specific, urgent use cases without having to go across on sort of sell things that aren't necessarily associated with the immediate pain points really makes those just makes us ineffective. Offer. >>Yeah, you bring up some changing priorities. I think almost everybody will agree that the number one priority we're hearing from customers is around security. So whether I'm adopting more cloud, I'm looking at different solutions out there. Security has to be front and center. Could we just kind of go down the line and give us the update as to how security fits and all the pieces we've been discussing? >>I guess I'm talking about change, right, so I'll start. The security for us is built into everything that we do the same view you're probably going to get from each of us because security is burden. It's not a board on, and you would see it across a lot of different images. If you take our backup and recovery and disaster recovery, for instance, a lot of ransomware protection capabilities built into the solution. For instance, we have anomaly detection that is built into the platform. If we see any kind of spurious activity happening all of a sudden, we know that that might be a potential and be reported so that the customer can take a quick look at air Gap isolation, encryption by default. So many features building. And when you come to disaster recovery, encryption on the wire, a lot of security aspects we've been to every part of the portfolio don't. >>Consequently, with Hedvig, it's probably no surprise that when that this platform was developed and as we've continued development, security has always been at the core of what we're doing is stored. So what? It's for something as simple as encryption on different volume, ensuring the communication between applications and the storage platform itself, and the way the distributors towards platform indicates those are all incredibly secured. Lock down almost such for our own our own protocols for ensuring that, um, you know, only we're able to talk within our own, our own system. Beyond that, though, I mean it comes down to ensure that data in rest data in transit. It's always it's always secure. It's also encrypted based upon the level of control that using any is there one. And then beyond just the fact of keeping the data secure. You have things like immutable snapshots. You have declared of data sovereignty to ensure that you can put essentially virtual fence barriers for where data can be transported in this highly distributed platform. Ah, and then, from a user perspective, there's always level security for providing all seeking roll on what groups organization and consume storage or leverage. Different resource is the storage platform and then, of course, from a service provider's perspective as well, providing that multi tenanted access s so that users can have access to what they want when they want it. It's all about self service, >>and the idea there is that obviously, we're all familiar with the reports of increased bad actors in the current environment to increased ransomware attacks and so forth. And be a part of that is addressed by what wrong and done said in terms of our core technology. Part of that also, though, is addressed by being able to work across platforms and environments because, you know, as we see the acceleration of state tier one applications or entire data center, evacuations into service provider or cloud environments has happened. You know, this could have taken 5 10 years in a in a normal cycle. But we've seen this happen overnight has cut this. Companies have needed to move those I T environments off science into managed environments and our ability to protect the applications, whether they're on premises, whether they're in the cloud or in the most difficult near where they live. In both cases, in both places at once, is something that it's really important to our customers to be able to ensure that in the end, security posture >>great Well, final thing I have for all three of you is you correctly noted that this is not the end, but along the journey that you're going along with your customers. So you know, with all three of you would like to get a little bit. Give us directionally. What should we be looking at? A convo. Take what was announced today and a little bit of look forward towards future. >>Directionally we should be looking at a place where we're delivering even greater simplicity to our customers. And that's gonna be achieved through multiple aspects. 1st 1 it's more technologies coming together. Integrating. We announced three important integration story. We announced the Microsoft partnership a couple of weeks back. You're gonna see us more longer direction. The second piece is technology innovation. We believe in it. That's what Differentiators has a very different company and we'll continue building it along the dimensions off data awareness, data, automation and agility. And the last one continued obsession with data. What more can we do with it? How can we drive more insights for our customers We're going to see is introducing more capabilities along those dimensions? No. >>And I think Rhonda tying directly into what you're highlighting there. I'm gonna go back to what we teased out 10 months ago at calm Bolt. Go there in Colorado in this very on this very program and talk about how, in the unification of ah ah, data and storage management, that vision, we're going to make more and more reality. I think the, uh, the announcements we've made here today let some of the things that we've done in between the lead up to this point is just proof of our execution. And ah, I can happily and excitedly tell you, we're just getting warmed up. It's going to be, ah, gonna be some fun future ahead. >>And I think studio in the running that out with the partner angle. Obviously, we're going to continue to produce great products and solutions that we're going to make our partners relevant. In those conversations with customers, I think we're also going to continue to invest in alternative business models, services, things like migration services, audit services, other things that build on top of this core technology to provide value for customers and additional opportunities for our partners >>to >>build out their their offerings around combo technologies. >>All right, well, thank you. All three of you for joining us. It was great to be able to dig in, understand those pieces. I know you've got lots of resources online for people to learn more. So thank you so much for joining us. Thank you too. Thank you. Alright, and stay with us. So we've got one more interview left for the Cube's coverage of con vault. Future Ready, students. Mannan. Thanks. As always for watching the Cube. Yeah, Yeah, yeah, yeah, yeah, yeah

>>from around the globe. It's the Cube with digital coverage of CONMEBOL. Future Ready 2020. Brought to you by combo. Hi, I'm Stew Minuteman. And this is the Cube's coverage of Con Volt Future ready event Welcoming back to the program. Fresh off the keynote stage. Sanjay Mirchandani. He's the CEO of Con Volt. Sanjay. Nice job on the keynote. And thanks so much for joining us. >>Thanks to Good to see you again. >>Nice to see you too. So, Sanjay, about a year and 1/2 into your journey with Conn Volt, you took over. And you know what it looks like? You've almost completely refreshed the portfolio there. Start a little bit, you know, future. Ready. Tell us how you're getting Conn Volt and its customers ready to be prepared for what happened today as well as the >>right. So, you know, we've we've given visit The past 18 months, have flown by in the past four or five. Even faster. Um, the change. You know, the change that we've had all deal with us as organizations has been tremendous. We've been hard at work. When I came on board, I should have talked about how we were setting out to simplify, innovate and execute all three of those pillars and, ah, future ready, which I love as a term completely embodies what I think the work we've been up to and what the world needs today, which is really getting it ready for whatever's next. And, you know, and it's coming together of innovation, simplification and and hopefully you'll agree some good execution to bring it all together. Yeah, so we've been busy. >>Sanjay, you talked a bit about just the moment in time that we're in. Wonder if you could bring us inside. You know your customers. So there's certain things that we saw for a couple of months. People put a pause on. Other things absolutely have been accelerated. We talk to customers about their adoption of cloud, you know, digital transformation. It's one of those things. That boy, I hope I'm through some of those or you know, can be as agile as possible. But, you know, what do you hearing specifically from our customer base and how they're dealing with things? >>You know, Cto, I touched a little bit on that during my keynote. And you know this this this this time that we're in has really caused, I think a couple of shifts. The first structural shift was Oh, hey, this thing is here to stay and let's get our employees Working and productive and keep the business is running and keeping them safe and everything else. That first shift happened right on. Honest about What was it that March, April and businesses small and big had to figure out how to take go from their their their operating model into, ah, remote. With the remote model, you re prioritize and you thought through what was important at the time and what it was was really getting laptops into the hands of your employees, getting them safe into their working environment, making sure your business processes leaning in that direction. You could take care of your customers. And so that was sort of the first structural faith, the second structural failures. Okay, how do we really drive productivity? One of the new priorities. What do we need to do, what you want to invest in? What do you want to pull back from? And from our vantage point from A from a technology and data point of view, what we're hearing is the themes that if I had a paraphrase of conversations I have with CIOs, it's NGOs. It's really around a simplification. This is a This is a great time to really simplify and, you know, and make sure that you're working with the tried and tested. This is not the time to experiment. This is not the time for esoteric. This is really about simplifying and working with the tried and tested. The second is really about focusing on skills, you know, this is you need you need to be able to leverage, and you need to be able to bring productivity from the from the people that you have an I t. And really focus around that that's, you know, that sometimes for gotten, you know that I like to call them. The unsung heroes of technology has just been pushed into their homes. They're now doing their jobs, longer hours, tougher scenarios. They have no access to their data centers. So it's over. So let's think about skills and the third, you know, the third thing, really that has been propelled into this conversation is cloud. So if you were on a journey, you're off the journey you need to get there quickly, okay? And you need to really newly leverage a light touch, low touch, remote sort of capability. A So fast is you can't call a digital transformation. Call it whatever you'd like to say. But it is about truly leveraging the cloud in a way that that was no longer, you know, a one year, two year three applying. You just have to bring it right to those kinds of things we're hearing and dealing with. >>Yeah, it's so important, Sanjay. Especially that simplicity piece. You know, I remember a few years ago there were certain customers that were adopting cloud, and it was the reminder. Oh, hey, your data protection in your security, you need to make sure you take care of that when you go to the cloud. And unfortunately, you know, some of the people that are now accelerating things you have to quickly say Oh, wait. I can't work this in a few months. I need to take care of this upfront, so help us understand a little bit. You know, the announcements that you've made. How are you making sure that you're ready for customers? The simplicity that they need to take advantage of the innovation and opportunity that the cloud on solutions provider >>absolutely and and make a mistake for me to. Simplification is not just the technology is easy to use, even though that is a big part of what we're working on and working and delivering through these announcements. But we've also got to make sure that the partnerships that we that we that we have lend themselves to what customers need, you know, engineered better its source not in the field, you know, and then and then the ecosystem to make the technology available and consumed commercially in the way that customers would like to keep that simple to. But today, if I just focus on the portfolio, you know, we've we've you could say we've completely rebuilt this incredible stack of technology that we've built this company out and, you know, and we weave in a nutshell. What we've done is announced A. We've taken our backup and recovery suite and be saying we've got a new company, backup and recovery product. We've got a brand new con Volt disaster recovery product. You can get them together as a unit Azaz the complete backup and recovery suite, if you would. So that's one big set of offerings. The second and you know the second is is we bought Hedvig sort of next generation software defined storage technology company last year, and we've been feverishly work quietly at work, integrating Hedvig into calm bolt not just as a company, but in the technology and our new hyper scale technology. Hyper scale. ECs is the embodiment of those two things coming together, the best of data protection from Con Volt and the best storage subsystem to drive that from Hedvig, also from console. So the two come together on all of this technology, whether it's the suite that I mentioned or the hyper scaler, all of it you can. You can mix and match any way you want with it with a world class user interface or user interfaces if you want command lines. If you want AP ICE will keep it open, all of it to you. In addition, we've got announcements or under Activate Suite on. Recently, we talked about our partnership with Microsoft with the metallic azure sort of combination for customers. So it's ah, it's a left to right set of announcement with simplification threatened right through it. >>Sanjay, you mentioned partnerships. Ah, a little bit before the show, you had, of course, the extended partnership with Microsoft with metallic. Maybe give us just a little bit more color about you know how, Con Volt make sure their position and working closely with those hyper scale >>hours. Yeah, you know, and we work with all the hyper scaler. So, you know, there we are probably the most prevalent data protection technology, if you would in the public cloud. And most of the way we talk about over an exabyte that we've helped customers, right, that the cloud is just one data point we've we've been, you know, seen is from the outside in as being the transport capability across across hybrid cloud scenarios. The partnership, the partnership with Microsoft and Microsoft Azure in particular, is the coming together of these things because customers, when we talk to customers and Microsoft office of customers be here from them, they want the ability to be, if you know, as they get more prevalent in the cloud as their workloads get more more pervasive in the cloud, they want to make sure that the same industrial strength data protection cloud in that they had well while they were on prayer for primarily on Prem. Our solutions are completely hybrid. And so the partnership really brings together again. You know, technology that's engineered better together, our data protection and their their cloud best in class our channels working, working together and making sure that it's easy for customers to work work with us. And we're available on the azure marketplace and our field forces also aligned around it. So it's again a 3 60 kind of conversation that we have with customers as much as much of today's announcements. >>Yeah, Sanjay, you talked about the hyper scale er's. You mentioned that the integration of the Hedwig Solution work with Dev Ops and really the cloud native type solutions. Of course, one of the things everybody's looking at when you were hired to this job is you've got background in the automation in developer world. So you know, how is that scene in the update? The portfolio really that embracing of cloud native and develop our environments? >>Cloud without automation is not a cloud, right? It's just it's just it's just infrastructure that's put somewhere else. It's deep, deep degrees of it off automation that really bring cloud to life. Right? And I was fortunate that have been in the Dev ops world for a while in a market leading with marketing product. And I was very pleasantly surprised when I when I came to convert and sell the deep degrees of automation and work flows that are core technology had, with Hedvig acquisition being a platform layer being the storage layer that is multi protocol and appeals incredibly to Dev Ops engineers because everything in the product you know is call a bill through an A p I for a set of AP eyes. It's it's Richard's got work flows and and it's multi critical. So whether you're using VMC or you're building the next generation container applications or you're just using object storage, it doesn't matter. We can mix and match it across, you know, private and public cloud environments, and it's all culpable and it's all programmable. It's all automated on as much as you want >>it. All right, So, Sanjay, I know we can't talk too much about Financial Piece is where we are in the quarter. But one of the things Dave Volante and I were discussing and looking at Kahn Volt. You know, there's some good data, you know, especially if you look at win rates against some of the some of the newer players in this space that the data that we have from ET R was showing, you know, increased win rates for Con Volt. Just could you give us a little bit of your competitive landscape view you talked about? Customers don't want to take too much risk, you know? How do you balance between being, you know, a company with a large install base? But you want to be, you know, more modern? >>Oh, yeah. And you know, the use cases we're talking about. The cloud that we're seeing those leaders are today's use cases, not yesterday's use cases, and we're winning in the base is the fact that we respect that customers are coming from Okay, There's a lot of stuff that runs that business that is still good. That isn't in the cloud that they're they're working their plants journey from that to something else as well. That's where we're leading in areas where they have it in the public cloud, and we always like to stay 1 to 2 steps ahead of the hard problems our customers going to encounter. So our portfolio is is absolutely cloud ready. Our portfolio is rich in that in that capability, and we're not slowing down. You know, we're winning because we have the breath of technology that we support. Both, You know, source source data that customers want o protect and target scenarios where maybe the hyper scaler or anything else where customers want to take it. And the flexibility, the second thing. And if you heard the interview I did with Run from from Johns Hopkins, it's the optimization off our technology around each of those cloud scenarios that gives our customer's true, you know, true value around the compute and storage decisions they have to make. And we helped them make through deep through deep degrees of AI and ML built in. So so it's not just about moving bits. It's about optimizing all of that on the entire life cycle of that data, from the point it's created to the point. >>Excellent. Well, Sunday. Want to let you have the final word? Give us what you want customers to have as the take away from today's future. Ready event? >>Sure. So, first of all, I wanted to, you know, I want to thank all our our audience here, our customers for being with us. It's being with us as a customer, being looking at us as a prospect for technology. We are investing like, you know, we've invested over a $1,000,000,000 over over a period of time as a company in data protection, and we're taking that to a whole new level with the innovations that we're bringing to the table. So, you know, we truly believe that the journey with as it pertains to data the journey to the cloud requires you to be able to think through the life cycle from storing, protecting, optimizing and using that data all the way through. And our solutions can be used independently. Best of class across each of them or together better together. And, you know, we I I urge you to take a few minutes and look at some of the some of the great innovations we've brought to table and rest assured that everything we're doing eyes with hybrid cloud in mind and is it is completely cloud optimized. >>All right. Well, Sanjay Mirchandani. Thank you so much for joining us. Congratulations to you and the team on the work on the updates. Definitely. Look forward to hearing more in the future. >>Thanks. Too good to be here. >>Alright, stay tuned. We've got more from Con vault Future ready on student a man. And thank you for watching the Cube. Yeah, yeah.

>>from around the globe. It's the Cube covering HP Discover virtual experience brought to you by HP. I'm stew minimum. And this is the Cube's coverage of HP Discover virtual experience rather than all getting together in one place. Life box, Vegas. We're getting people around the globe where they are digging into some of the partner discussions here. Happy to welcome to the program. Ricardo de Blasio. He is the chief revenue officer from Con Vault. Ricardo, Thanks so much for joining us. Great to see you. >>We lost you. Great to be here. >>Excellent. So, you know, obviously HP discover Conn Volt and B when you give us the latest on on the partner. >>Absolutely. Well, first of all, I would like to thank you H p e deal team, not only for this invitation, but for the great partnership that we have. Ah, since actually, many, many years. Well, things are going really, really well with HB. Ah, we're very happy with very proud. I mean, if I'm a chief revenue officer also, my idol said it all. You know, if I look at the performance is off our alliances in the last 18 months, um, as being a double digit row and in some quarter even a triple digit growth. So ah, our relationship engagement into the field are growing up on a weekly basis. And the amount of opportunity that we have in our forecasting in our pipeline with HB are growing more and more and more. And, um, I believe we found still a good thing. And young between ah Cos us being the leader off data protection in the market and in conjunction with one of the largest server infrastructure, um, service vendor, service provider like HP. You know, if you think about one of the the the the highest success that we had experience right now is is humble. True green A as a backup as a service, right? So so many angle our chip. It's working and we just feel we are crashing, really, that the people, the iceberg and the best is yet to come so super excited to be here, super excited for what's what's ahead of us. >>Alright, Ricardo, we'll last year and we've had the Cube at Kahn Volt go on for a couple of years. Ah, lot of discussion about the various consumption models, especially out you know, Cloud is fitting into things, whether it be a public cloud and backing up data or are, you know, SAS models. You know, obviously, Alex was the, you know, star of the show at combo go. Last year you mentioned the Green Lake offerings that you're doing with HP to give back up as a service. So bring us inside. You know what you're hearing from your customers? How they're managing these various cloud offering. >>Totally stupid. Well, um I mean, as you know, I mean the the adoption into cloud native APS or moving waters into, ah, cloud models. It is something that has been around for the last 10 years. Obviously, what the current situation is producing is a triggering event to really moving to a light speed, um, transformation and adoption off any type of cloud motors. And we believe that's up backup and data protection provider. Um, we are in the middle of it, experiencing a lot of benefits. I mean, at the end of the day, you know, if you look at our metallic offering, one of our blockbuster is backing up office 3 65 which is a cloud native app after that we got Salesforce or we've got service now and so on. Right before moving to more traditional and point out of management like that or ah, um, like mobile phone. But even if I look at, you know, from from an angle of our partnership with HP, But I see most off the grow and opportunity is being on the Green Lake platform. Um, a lot of the opportunity that we have in our pipe that have been built in the last six months, but I see a lot of potential to do business together. Um, 80% of them is with Green Lake. This always great legs in the middle. >>Excellent. Yeah. What? What do you hearing so much from customers, You know, with your you're the chief revenue officer. So is it Move from cap ex to op X. You know, bring us inside a little bit. The finance side. What you're hearing from customers is how they get ready. Obviously, with the global pandemic even more of a highlight on the cloud models, if I've done things right, I should be able to either, you know, scale up if needed, or if I need to dial things down for a little while. Hopefully, I haven't locked myself in tow some environment. So I love to hear a little bit more color on that piece of it. >>Absolutely. I believe you nail. It's do I mean ah, there's definitely an operational driver behind which he's Can I scale or down my data center without having the possibility to have people on the ground? And so how can I move into a virtual data center? Uh, what? I have computing storage networking that can follow my beach off. Uh, I o according to my business need and this d'etre angle in the current crisis, um, company often are not run, but CFO becomes more important. And, um, there's a huge ah, attention to us and, uh, and everything that can be moved from a perpetual into a credible and therefore cloud has a better fit for that. And, um, and then last but not least, is also, you know, the better integration that a lot of cloud models provide. You were the cloud native. That's right. I mean, um, and you run salesforce on Prem? Not really. Right. So how can you have Ah, a dashboard of different business application and operational applications that are better integrated with the cloud native. That's so the more you can offer your client I eat relates or metallic proponent Delta Cloud Native Services that he's a, um, naturally integrated with the parent cloud native app. So the more you're going to make their life easier. >>Excellent. Ricardo. You know, Con Volt works with many partners. What makes the HP partnership special? >>So I think you know what I said earlier. Definitely. I would say the first thing. These, um a market segmentation, overs and the price. We are experiencing a lot of success with our enterprise clients. You know, if I look at the joint pipeline that we built together, I would say 90% of the lines are global 2000 customers logo. And so that is everyone. Number number two. You know how much work with it collectively in integrating our product line and platform together. So if you look into the humble complete solution and very soon also mentality, but even that big that has been done a lot of effort on that side, they are natively integrated with open a P I so that our clients really will not feel the difference off having two different salad silos solution and and then last but not least, the same strategic goal and view off pushing our cloud based Motorola radical modeler Green Lake for H p e and metallic and a big for mobile. >>Excellent. So you mentioned you know, some of the shifting models to some some of the newer solutions. You know, obviously, you know, integrations partnership a little bit of time, but give us a little bit. What should we be expecting from, you know, calm bolt in the partnership with HP through the rest of 2020. >>Absolutely. Still. Well, um, definitely an acceleration. You know, we put the decision a combo too. Ah, focus on fewer partners are very relevant to us. We're very happy to say that Hve is one of them. And, um, we want to do more from a product integration perspective. So the next one in line with the metallic and how the metallic play and integration will play into green legs and into a lot of HB product. Um, but also, we want to do more with our field engagement. Right? So now we have weekly or monthly orderly. Ah, weekly engagement with our with our two fields organization. Ah, just in order to better serve our clients and often do business with the same channel partners that we have in our ecosystem. >>Excellent. Well, Ricardo, thank you so much for joining us. We really pleasure. >>Thank you. Thank you, Stew. And thank you, HP, for the great partnership opportunity. >>All right, Lots more coverage from the cube. HP discover virtual experience. I'm Stew Minimum. And thank you for watching the Cube. Yeah, yeah, yeah, yeah, yeah.

why from nashville tennessee it's the hue covering CommVault go 2018 brought to you by CommVault welcome back we're a few miles down the road from the Jack Daniel's distillery I believe there's some whiskey flowing on the show floor here but we're gonna finish a couple more interviews you're watching the cube I'm Stu minimun this is Keith Townsend happy to welcome back to the program Don Foster is the senior director of solutions marketing with Conn volt Don great to see you hey great thanks for the invite all right so been really good energy at the show these second time at the program it's my first you've got 2000 of the loyal supporters here lots of breakouts you know the pavilions been hopping labs and everything yeah how's the show been for you so far I think it's been incredible I mean first hats off to our partners and customers for coming the buzz is great this year we try to do something maybe a little bit different than in years past and really make it all about the partner ecosystem and about how solutions are more than just combo software it's CommVault together with our partners really get the outcomes what the customers want so we've really integrated everything in as best we possibly can from the content and the theaters and who's doing presentations and even how we do some of the collaboration yeah one of the themes we've been poking at a bit is like okay what's the same and what's different about CommVault you've got obviously you know trusted brand got a lot of existing customers but you know this is not the CommVault of five years ago it was a really broad set of announcements this week yeah I want want you to say what what's been anything surprise you as to kind of what is resonating which things people are getting most excited about I'm sure yesterday when you showed off that bezel and a bunch of people were booing and I you're like really the bezels it's a bunch of geeks here yeah so you know sometimes the flashy lights still you know get us going for sure well like there's always a few things that kind of surprise you and some things that really don't I mean you say what's same what's different you know there's a few terms that we use one of them being powerful simplicity the fact that the power that comma offers for customers from technology perspective you know that's always a mainstay and I think our customers know that our partners absolutely know that and the fact that we can deliver these these solutions for our customers that are really interesting an integrated way is always powerful the simplicity side I don't know even listening to Al not too long ago talking about hey we need to make things more simplified that's really resonating well and it's not just a dashboard or an interface but it's all the automation that's coming behind the scenes that's really starting to change people's idea in my and their minds and I mean we know we know the customers are expecting more me a Bob and I'll talk to battle Don look on that on the keynote stage our partners are expecting more so we need to deliver more as well so I mean those are some really interesting things on the bezel you know it's interesting appliances you never think it's like people don't want to see the equipment I mean that people see servers and their server racks every day but you bring a piece of equipment you stick in our podium and everyone wants to touch it take a selfie with it it's the new appliance look I applaud your team for not you know smoke and you know music and everything and you know here's the unveiling yeah your software company and therefore one of the deployment models might be we make it nice and easy here it is that's great and everything yeah you have little design people do their thing but at the end of the day I don't want to think about it it's most of the stuff sticking in racks in my data center or in the cloud aren't things that I need to worry about right right I mean it appliance is cool but guess what what we're doing with partners like HP and Cisco on building even larger scale and appliance that's just as school if not maybe cooler so I mean it's just it's great kind of showcase that sort of a spectrum of what we can do for our customers so let's talk about the part of the ecosystem for the size so you guys have a really big show floor great announcements with Cisco HPE but 500 partners doing a partner portion of the show what are some of the under-the-radar announcements or even trends that you've seen that customers are excited about yeah sure so actually I just before I came out here I was a TBC with one of our large worldwide partners and one of the things we were talking about they're super excited about the CommVault activate a product and then did the portfolio of applications that were launching and they basically look you guys absolutely nailed it it's kind of the duh moment you know in fact the partner said three years ago we were trying to tell our customers it's it's the data stupid like the data it's that's what's most important deer is cool but it's the data and when they heard this came out it's a whole nother route for them to talk to customers about how they can do things smarter around their data without trying to sell them on necessarily swapping out back and recovery first so let's really understand what your environment looks like and I'm hearing a lot of buzz from our partner community just on how cool what this might be able to do for them and how they're building their business but more importantly the customers are starting to realize hey GDP are just isn't in an EU thing the California just brought their own regulations we're gonna see that probably come to a state near year before you know it so you're gonna have to have a need to act and really maintain and control that data that's really what activate does right going beyond just metadata and giving giving companies a chance to really understand what they have and how they might need to act against it either to meet their compliance requirements or maybe just be smarter with data yeah I love that be smarter with data I think I was saying you know half the customers that they're starting with compliance because that's something we have to do but then there's the opportunities as to what can I do with the data a great example in the keynote it was like oh well I can actually use intelligence too how do I call the data yes you want to save a lot of data but I don't necessarily need to save all the data and that could save me millions of dollars when I do that so yeah I mean the power of data I think we are still in the early days of you know how does CommVault help customers through that that's so I mean it's it's really kind of in the breath of how we crawl information and what we sort of unlock as we do that right so you probably saw we talked about the four dimensional index the 40 index and it's real it's to call it 4d just to try to make it sound super technical but there really are multiple dimensions that we pull together from information and the meta information and where it comes from and whatnot that's all super important from a starting point but once you start working through a review process you've been vent oriented you want to be able to start adding in some tags maybe some entity detail on where and how that fits the organization and then from that you can get deeper into context and content so the content indexing adding and those are tributes being able to really start to align different different sets of data against one another and then the next piece which we do a little bit ourselves and we also work with partners like lucid works like folks like brain space we can start driving context from that information so before we've even talked about moving or storing data we're crawling this information and really giving customers the chance to solve what really is probably a top-three issue for CIOs and that's what they do do I have where is it and is there value in it or is there risk in it or what is is what I don't know about my data bigger than I realize and that's what this helps to unlock and solve for so I think now we're at the beginning of just the beginning of where infrastructure traditional infrastructure companies like con vault are bleeding into data management specifically with 4d indexing where we're providing data outside of the traditional or what's the file size the data was created centered on recover backing up recovering today that actually providing business context and value that application is v's can pick up are you starting to see any movement in is v-space to leveraging the data that's provided by index 40 so we're definitely seeing interest you know so when people think about data they tend to go down this idea of a data Lake and I've talked I'm sure you guys have heard this oh yeah we just throw the data Lake we throw the data lake well what are you throwing in the data Lake now that's a good question we don't know what's in the data Lake anymore and it becomes a data swamp you probably heard those level of stories right well if you don't know what's in there if the integrity of the information then it becomes a major challenge well a lot of the partners the is V is the folks that want to build and work on solutions outside of you know on top of the data they need to know that they have a good source of truth from what they're working from so being able to showcase that we have sort of that virtual data layer the fact that we can crawl data it's not even under our own management and then be able to offer that information back up to another another partner that really starts to you know sparks and some ideas or maybe what could be next so action we're still working through that we still have some things to do around software development kits and make it easier for our partners to build and get that ecosystem going but it's absolutely right down the alley what we were we want to take this all right so Don I hear your data Lake and the data swamp and when we go to the world of multi cloud and edge components really what we get into is the data ocean because there are currents and weather patterns and you know challenges unforeseen the edge of the map you know don't go there things like that it's one of the things you know I've been looking at the last couple of years when I look at companies like comm vault is you know how do you play in the multi cloud world we had a good chat with AWS I stopped by the Microsoft Azure booth here and as things like multi cloud and edge computing fit in you know weirdoes comm bolt fit so on the cloud space I mean it really starts with how you're actually leveraging or moving data or using data in the cloud right and it seems seems minor but if you're not really using the cloud natively if you're not storing data in a way that an s3 blob expects it and you don't have the index behind it if you're just passing it out into containers so you're not really putting that rigor to what that information is then you start to lose a lot of the downstream capability and so taking advantage of all these different services that are inside of the cloud so I mean this is back in 2008 you know 2007 when AWS was starting to really hit cloud computing you started hearing about Microsoft and Microsoft as you're starting up we realized that we wanted to work with these blob based storage devices and from there we realized all right if we're gonna let customers go to the cloud we want to make sure that once their data goes there there's never a reason for them necessarily to have to pull it back let's be able to help them orchestrate the resource utilization and in order for us to do that that data has to be natively accessible really easy right there in that cloud so that's kind of been our vision so as we've supported AWS and there are many services as we supported Microsoft Azure there many services as we're working through in supporting Google cloud platform Oracle cloud we're tying into those back-end services to make sure that that native access is always available and the red thread there is really the way CommVault indexes it very similar what the 40 index is from an activate perspective that red thread is how we can help manage and information across those clouds so it gives customers an ability to know all right it can be in cold storage but I still know where it is what it's meant for and at any point in time I can use it to drive more insight or pull it up into a production compute resource in the cloud all right don't want to give you the final word as we're coming towards the end of our broadcast here CommVault go what what main takeaway you want customers to have when they think about CommVault and think about this event great so I want them to walk away and realize okay the CommVault maybe they thought we were you know five years ago or the cow bought that maybe they're hearing from other people that isn't from us give us a chance and really take a look the things we're doing around AI the way we're working in a delivery of cloud environments the fact that we have that reliability that dependability and all the modern technologies that you're looking for I bet they will be surprised if they just give us a chance they'll see that the power in our software has become something that's really simple and will actually help them get faster to achieve their outcomes than if they looked at buying point solutions and trying to piece it together on their own so that's really well that's really what we're looking for is start to learn and understand at the new con volt is I bet will surprise them all right Don Foster really appreciate you giving us the update we appreciate the opportunity to be able to dig in with your customers in this broad ecosystem for Keith Townsend Tom's to minimas we'll be doing a wrap-up here in a second and thanks so much for watching the Q [Music]

>> Announcer: Live from Austin, Texas, it's theCUBE, covering Kubecon and CloudNativeCon 2017. Brought to you by Red Hat, the Linux Foundation, and theCUBE's ecosystem partners. >> Okay, welcome back everyone. This is theCUBE's exclusive coverage. We are live in Austin, Texas for CloudNativeCon and KubeCon, not to be confused with CUBE, 'cause we don't have a CUBE Con yet, C-U-B-E. I'm John Furrier with Stu Miniman. Next is Armon Dadgar who is the founder and CTO of HashiCorp. Welcome to theCUBE. >> Thanks so much for having me. >> Thanks for coming on. So we interviewed your partner in crime Mitchell years ago, and we were riffing in our studio in Palo Alto, and essentially we laid out microsurfaces and all the stuff that's being worked on today. So, congratulations, you guys were right in your bet? >> It's funny to see how the reaction has changed over the last few years. Back then it used to be, we'd go in and it's like, people are like, did you catch a load of those crazy people who came in and talked about microsurfaces, and immutable, and cloud? It's like, get out of here. And now it's funny to be here at KubeCon, and it's like-- >> Well it was fun days back then, it was the purest in DevOps, and I say purest, I mean people who were really cutting their teeth into the new methodology, the new way to develop, the new way to kind of roll out scale, a lot of the challenges involved. Certainly, now it's gone mainstream. >> Armon: Yeah. >> You're seeing no doubt about it, I just came back from re:Invent, from AWS, Lambda, Server List. You got application developers that just don't want to deal with any infrastructure. That's infrastructure as code in the DevOps ethos, and then you got a lot of people in the infrastructure plumbing, and App plumbing world, who actually care about all this stuff, provisioning. So, how are you guys fitting into the new landscape? You guys riding along? Were you guys the first ones paddling out to these waves? How do you guys at HashiCorp look at all this growth? >> So the way we think about it is, I think there's a lot of market confusion right now, just because there's so much happening, and I mean, even just being here it's like, almost overwhelming to just like understand what exactly is this market landscape evolving to? And the way we're thinking about it is, there's really these four discrete layers with the four different people that are involved in tech, right? We have, on one side, we have our IT operators that are just trying to get a handle around, how do I provision things in Amazon, and now I have business groups coming and saying, okay I want to provision in Google, cloud and Azure. How do I really do that in way that I don't lose my sanity? You have your security people who are saying, I've lost my network perimeter, now what? Like, how do I think about secret management, and app identity, and this brave new world of cloud. You have your app developers who are like, I don't care about any of that, just give me a platform where I can push deploy and out the gate it goes, and you deal with it. And then you have the folks that are kind of making it all kind of plug together and work, the networking backbone, who is saying okay, before it was F5 and Juniper and Cisco. What does it mean for me as I'm going cloud? So, the way we're sorting of seeing ourself involved in all of this is, how do we help operators sort of get a handle around the provisioning side, with things like Terraform? How do we help the security folks with tools like Volt? How do we complement things like Kubernetes at the runtime layer, or provide our solution with Nomad, and then on the networking side, how do we provide a consistent service discovery experience with Consul? >> So you guys are really just now just kind of riding in with everybody else, kind of welcoming everybody to the party, if you will. (Armon laughs) What's the big surprise for you as you guys, you know it's not new to you guys, but as you see it evolving, what's jumping out at you? I mean, we're hearing service mesh, pluggable architectures. What are some of the things that's popping out of the woodwork that you're excited about? >> Honestly, the thing that I'm excited about is the excitement about infrastructure, right? I mean, when we started four, five years ago, it was an ice cold market. You'd go and talk to people, like, let's talking about how you're doing provisioning, or your deployment, or how your developers push things, and people were like, do we really have to? Like, let me get a coffee. And now it's like the opposite. It's like people are so excited to talk about the infrastructure, the bits and bytes of it, and I think that for us is probably the most exciting thing. So, whether you come here, and it's like the vibe is electric, right? Like, you guys can attest to it. It's crazy to see the growth of it, and so what's exciting for us is now these conversations are being lit up all across industry. >> Yeah. >> So whether you're talking about hey, how do I provision a thing on cloud, to what's a scheduler and how does that help me, there is this tremendous interest in it. >> Yeah, Armon, take us inside. You talked about, you know, it used to be kind of, we would be talking, is infrastructure boring? What is that change that's happening in customers? Has it just reached a certain maturity level, that now the business, they need to move faster, and therefore I need to adopt these kinds of architectures? What are you seeing when you're talking to customers? >> Yeah, I think that, the sort of, we heard that, the sort of, the line a few times is it's becoming boring, but I think what, and sometimes that's the goal, right? All of these tools, all of infrastructure is plumbing, at the end of the day, right? At the end of the day, the applications of the end users is really what should be, sort of, the exciting bit. And so, it's our responsibility, sort of, as the vendors here in the community, working on the infrastructure, to make the stuff boring. And I think, in that case, what we really mean is that it should be so reliable, so well documented, so scalable that it's brain dead to operate these things. And I think, step one is, let's get people excited about what's the state of the possible, what's the art of the possible in terms of, what do I get in terms of business agility of adopting stuff? Once people start adopting it, let's make it boring for them. Let's make them sure they don't regret it, and that they actually see those benefits. >> Well, it's reliable too. Boring equals reliability. >> Exactly, exactly. >> Yeah, it's interesting. When you walk through the provision, secure, connect, and run, it reminded me a little bit of Chen talking in the Keynote this morning about kind of the stack they see Kubernetes playing. >> Armon: Totally. >> You know, there's some people who will probably look, well, HashiCorp, you guys, you have a platform. You've got some of these projects. Is that, what's compatible, what's replaceable? What's the connection between what you are doing and what's happening in this space? >> Yeah, it's a great question. I mean, think a lot of people are like "Is it odd for HashiCorp to be here?" And I think it goes back to our lens on this market, Which is. we want to provide tools that are sort of discrete in each of these categories and we fully know that customers are not going to go all in on HashiCorp and say, I want all four layers, right? A lot of our customers are Kubernetes users. And so, for us the mission is, okay great, how do we make sure Terraform plays nice with Kubernetes? How do we make sure Vault plays nice? So I actually have a session in about an hour and a half here, talking about Vault integration with Kubernetes. And then, we have a developer advocate talking about using Console with Kubernetes as well. So for us, it's really a play nice story. How do we make all of these work together. >> It's a rising-tide-that-floats-all-boats market, I mean this is what's happening. You guys are actors in the ecosystem. It's not a land grab. No-one can own the stack. That's the whole point of this ecosystem, isn't it? >> It's so big, right, this market that we are talking about is so enormous. It's every organization writing software. (laughing) >> All right, give us the update on HashiCorp. What's going on, what's the latest and greatest you guys are out starting? We interviewed you guys about, I think three years ago, maybe four. Can't even remember now at this point. It seems like a blur. >> Yeah, I mean, so two months ago was our big HashiCom for our user com friends. And for us, the focus has really been saying okay, we've got our initial set of open-source tools out on the market in 2015. And we said okay, lets take a pause. There's already so many tools, lets just focus on how do we make the practitioners successful with each of these things and really go deep on all of them. And so, with things like Terraform, we've been partnering with all the various cloud providers, right, to say how do we have first class support for Azure, and Google Cloud and Amazon and make sure that you know, as you're adopting these clouds, Terraform meet you there. And then with things like Vault it's how do we integrate with every platform companies want to be on. So if you're using Kubernetes, how do we make sure Vault meets you there and integrates? So, for us that's been the focus, is staying sort of focused on the six core tools, and saying, "How do we make sure "they're staying up to date as technology moves?" And sort of deepening them. >> Yeah, because your users are going to be leveraging a lot of the new stuff. They're going to be, Kubernetes has certainly been great. What's your take on Kubernetes, if you can just take a minute to just, I mean, not new to this notion of runtime and orchestration. We talked about it with Mitchell in our session years ago, we didn't actually say Kubernetes, it wasn't around then, but we talked about the middleware of the cloud. That was our discussion, and that was essentially called Pass at that time, but now, no one talks about Pass any more, it's all kind of one. >> Right, right. >> What's your take on Kubernetes? How do you feel about it? What is it to you? >> Right, yeah, I think that's, so I think, twofold: I think what's exciting for me about it is, it reminds me in some sense like what Docker did for the industry, which, if we went to sort of the pre-Docker world nobody talked about immutable artifact based deploys. It was like this esoteric thing and then all of a sudden over night Docker made it popular. Whereas like, oh yeah, of course everything should be immutable and artifact based. And then when you look at what Kubernetes has done, it's built on that momentum to say, okay, that was step one. Step two is to say, you really should think about all your machines as a sort of shared pool of resources and move the abstraction up to the application to the service and think about, I'm deploying a service, I'm not deploying a set of VMs. And so it's been this sort of tidal shift in how IT thinks about deploying and delivering in application. It actually should be focused on the service. Focus on sort of abstracting away the machine, and that's super exciting. >> And what do you think the benefits will be with the impact of the marketplace? Faster development, I mean, what's some of the impact that you see coming out of this to go to the next level? >> Yeah, I mean the impact for me is really saying, when we really look at these approaches, in some sense they are not new, if you look at what Google's been doing since the early 2000s with Board, what Amazon's been doing, what Facebook's been doing internally. These big tech companies have showed if you are able to move up the abstraction and provide this higher level of utility to developers, you can support tens of thousands of services, innovate much more quickly, and for a while, that was sort of trapped in these big tech companies. And I think what Kubernetes is really doing is bringing that to everybody else and saying, actually adopting the same strategy lets you have that, right? >> Yeah, its a maturation of open source of this generation. You look at what Lyft, Uber are doing. Look at the Open Tracing for instance, pretty interesting stuff, because I mean they had to build their own stuff. >> Armon: Right. >> At scale, massive scale. Not like, you know, hundreds of thousands of services, millions of transactions a second. >> Armon: Right. >> I mean, that's daunting. >> That's daunting. >> Okay, so your take on open source. Okay, because now we're seeing a new generation of developers coming online. I've been saying it's been, a renaissance is coming. More of an artisan, a craft coming back to craftsmanship of coding. Not like UX Design side, become a craft in code. So you got a new, younger generation coming up. They don't even know what a load balancer is. >> Right. But they're happy not to deal with that as you said. And then you've got open source growing exponentially. Jim Zemlin at the Linux Foundation is saying 10% of the IP is going to be unique to the company. The rest is going to be that sandwich of open source. That's exponential growth. >> Right. >> You get exponential growth, new wave of software developers. You're a young gun, what's your view of the future? >> I mean, its funny, because it's like that first derivative is going exponential. The second derivative is going exponential. You know, I think we're going to see more and more innovation at the, ultimately what it's really about is delivering at the end application layer, right? Like, we're all here to be plumbing, right, and so the better we can be at being plumbing, the better the application developers can be at delivering innovation there. And so, I totally agree that the trend is going to go 90/10. And I think that was partly one of the reasons we started HashiCorp, because we'd look around and we're like it's insane that you have 30 to 50% of these companies doing platform engineering that's completely undifferentiated from anyone else. It's like you're deploying on the same vSphere VM as your competitor but you're rebuilding the whole platform. It's crazy, it's like you should have used an open source tool and focused on the application and not how to boot a vSphere into it. >> And the impact cost and time. >> Armon, one of the things we talk about, the only thing constant in this industry is that the pace of change keeps increasing. How are you dealing internally? How are customers doing? I think back two years, a year and a half ago I talked to a guy who was like, "Oh, Vagrant is like my favorite thing, "I've been using it ever." Now I talk to lots of customers that are, Vault is critical to their stacks that they're doing. HashiCorp looks very different than they did two years ago. How's that pace of change happening internally and with customers? >> Totally, and I think part of what we've done as actually since 2015 we haven't really introduced brand new products because our feeling is that it's becoming so confusing for the end users to really navigate this landscape. So, in 2015 we thought the landscape was confusing. Today it's multiplied by 100 or 1,000. >> We were at Amazon last week, we understand. >> Yeah, exactly. And I think honestly I think that is, when you look around here I think that's one of the challenges we're facing as an industry, is I go and meet with customers who are like, "Every time I refresh Hacker News, "there's 50 new things I need to go evaluate." It's like I don't know where to even begin. And its like, as a vendor I have a hard time keeping up with space, you know. I empathize with the end user who, it's not their full time job to do that. So, our goal has been to say how do we better distill at least the HashiCorp universe in terms of hey, here's how our pieces fit together and here's how we relate to everything else in the ecosystem, and kind of give our end users a map of okay, what tools play nice, how do these things sort of work together. But I think as a bigger industry we have a bit of an issue around the sheer amount of sort of innovation. How do we curate that and really make it more accessible? >> Armon, I've got to ask you a personal question. Obviously you guys are entrepreneurs doing a great job. Been following you guys, congratulations by the way. What are you most proud of as you look back and what do you wish you could do over? If you could get a mulligan and say "Okay, I want to do that differently." >> How much time do we have by the way? (laughing) >> 10 seconds, I'm going to ask you the parachute question next, go ahead. >> You know, I think the thing we're most proud of might be Terraform. I think it's fun to see sort of the level of ubiquity and the standardization that is taking place around it. Ah, the thing I wish we could take back is you know, probably our Otto project. I think the scope was so big for that thing and I think our eyes were probably a little wider than they should have been on that one. So I wish we had not committed to that one. >> You reign it in, catch the mistakes early. Okay, final question for you. You're a large customer and the plane is going down, you have 10 seconds to pick a parachute. Amazon, Azure or Google. Which one do you grab? >> Ooh. >> Go. >> You know, probably Amazon. No one ever gets fired for choosing Amazon. >> All right well Jeff Frick on our CUBE team said, "I'd take all three and call it Multi Cloud." >> That's the right answer. Armon, thanks for coming on appreciate it. Congratulations on your success at HashiCorp. >> My pleasure, thanks so much for having me. >> Got HashiCorp here on theCUBE, CTO and co-founder on theCUBE, Riding The Wave, CloudNative, Kupernetes, lot of great stuff happening. Microservices and containers. It's theCUBE doing our part here at KubeCon. We'll be right back with more live coverage after this short break.

>> Voiceover: Live from Las Vegas, it's theCUBE covering VMworld 2017, brought to you by VMware and it's ecosystem partners. (electronic music) >> Hello everyone, welcome back to live coverage. This is theCUBE at VMworld 2017, our eighth year covering VMworld, going back to 2010. I'm John Furrier, co-host of theCUBE, and my co-host this segment, Justin Warren, industry analyst, and our guest, Alan Cohen, Chief Commercial Officer, COO for Illumio. Great to see you, CUBE alumni. Special guest appearance, guest analyst appearance, but also Chief Commercial Officer, Illumio is a security start-up, growing. Thanks for coming on. >> It's not even a startup anymore. >> Justin: It's technically a startup. >> John: After five years, it's not a startup. >> It's not a startup right, you raise $270 million, it's not exactly a startup. >> (laughs) That's true. Well, welcome back. >> Alan: Thank you. >> Welcome back from vacation. Justin and I were talking before you came on, look at, let's go get you on and get some commentary going. >> Alan: Okay. >> You're an industry vet, again, in security, some perspective, but industry perspective, you've seen this VMware cycle many times. What's your analysis right now, obviously stock's 107, they don't to a cloud, no big catback, so it's good. You've made a decision. What's your take on this? >> I've been coming to VMworld for a long time, as you guys have as well, and from my perspective, this was probably the biggest or most significant transition in the history of the company. If you think about the level of dialogue, obviously there's a lot about NSX, which came from the Nicira, I'm always happy about. But, if you hear about, talking about cloud, and kind of talking about a post-infrastructure world, about capabilities, about control, about security, about being able to manage your compute in multiple environments, this is, I think, the beginning of a fundamentally different era. I always think about VMware, this is the company that defined virtualization. No one will argue with that point, so when they come out and they start talking about how are your computes going to operate in multiple environments? And how you're going to put that together, this is not cloud-washing, this is a fairly, all right they have fully acknowledged that the cloud is not a fad, the cloud is not for third tier workloads, this is mainstream computing. I think this is the third wave of computing and VMware is starting to put its markers down for the type of role that it intends to play in this transition. >> Yeah, I agree. >> We have to argue if you don't agree (laughs). >> I'll mostly agree with you, how about that? >> All right that's good. >> At this show, VMware has stopped apologizing for existing. I think, previously, they've been trying to say, "No, no we're a cloud too, "in fact, we're better than cloud "and you shouldn't be using it." It forced customers to choose between two of their children, really, like which one do you love more? And customers don't like that. Whereas at this show, I think it's finally being recognized that customers want to be able to use cloud, as well as use VMware, so that they're taking a more partnership approach to that and it's more about the ecosystem. And, agree, they're not about the infrastructure so much, they're not about the Hypervisor, they're about what you run on top of that. But, I still think there's a lot of infrastructure in that because VMware is fundamentally an infrastructure. >> Alan: Well, you got to get paid, right? >> That's right, (Alan laughs) and there's a lot of stuff out there that's already on VMware. What do you think about the approach? Like with cloud, they have a lot of people doing things in new ways and you mentioned this is the third wave of computing that we're doing it a new way. A lot of VMware stuff is really the whole reason it was popular is that we have people doing things a particular way on physical hardware and then they kept doing more or less the same thing, only on virtual hardware. What do you say about people who are still essentially going to be doing virtual hardware, they're just running it on cloud now? That's not really changing much. >> The way I think about it is: Are you going to be the Chevy Volt or are you going to be a Tesla? What I mean by that, and by the way now GM has the Bolt, which is their move toward Tesla, which is that if you look at the auto industry, they talk about hybrid and you talk about it, and you talk to Elon Musk and he goes, "Hybrids are bullshit." Either you're burning gas, or you're using electricity. To me, this cloud movement is about electricity, which is: I'm going to use cloud-native controls, I'm going to use cloud-native services, I'm going to be using Python and Ruby, and I'm going to have scripting, and I'm going to act like DevOps. And so, cloud is not just a physical place where I rent cycles from Amazon or Azure, it is a way of computing that's got a distributed, dynamic, heterogeneous, and hybrid. When you're in your virtualization on top of cloud, you're still in your Chevy Volt moment, but when you say, "I'm going to actually be native "across all of these environments," then you're really moving into the Tesla movement. >> Hold on. Let me smoke a little bit, I'll pass it over to you because that's complete fantasy. Right now the reality is, is that-- >> It's legal here in LA, in Las Vegas. >> (laughs) I don't think so yet, is it? >> Only outside. >> You can go to Walgreens across the street. >> Whatever you're smoking is good stuff. No, I agree, cloud obviously as a future scenario, there's no debate, but the reality is, like the Volt, Tesla is a one-trick pony. So, greenfield-- >> But, once again, I'm not disagreeing with you, John, but my point is that VMware and most of the IT industry is not there. Most companies don't have DevOps people, you run up and down, you go to all of these shows, ask these guys how many of these guys does Ruby, Python, real scripting, they don't do that. They still have Lu-Wise and management consults and they have the old IT, but this is the beginning movement-- >> They've got legacy bag, I mean we call it legacy baggage in the business, we know what that is. >> Heritage systems. (all laugh) >> Well, Gelsinger was here, I had him in at one o'clock and I kind of, sometimes VMware, they make the technical mistake in PR, they don't really get sometimes where to position things, but the Google announcement was very strategic intent, but they kind of made it a land grab and they tried to overplay their hand, in my opinion, on that one thing, it's strategic intent. This audience, they're not DevOps ready, they're Ops trying to do Dev, so they're not truly ready. So, it's okay to say, "Here's Amazon. "Great, that's today, if you want to do that, "let's get going, checking the boxes, "we're hitting the milestones." And then to dump a headroom deal announcement, that's more headroom, which is cool, but not push it on the Ops guys. >> Here's the opportunity and here's the risk: If Amazon is a $16 billion a year business, it's a rounding error in IT spend. When you take the hype away, nothing against it, and I love that prices are cheaper at Amazon and you can buy a Dot in the fruit aisle, that would totally-- >> John: I think the margins are like 60% (laughs). >> On your cloud. >> My wife took a picture of a rib steak and it said $18, now $13.99, I said, "Fantastic, thank you, Jeff Bezos. "We're eating well, "and we're going to have a little extra money." What I think this transition is not about infrastructure, it's about how IT people do their job. >> John: That's a main point. >> Justin: That's a big, big change. >> Yeah. >> Okay, in this show today doing your job, Justin I want you to comment on this because you were talking with Stu about it. I'm a VMware customer, what do I care about right now in my world? Just today. >> Well, in my world I've got conflicting things, I need to get my job done now. There's nothing different about the IT job, really, which is a shame because some of it needs to change, but there is a gradual realization that it's not about IT, it's not about building infrastructure for the sake of, "Because I like shiny infrastructure." It's, "I'm being paid by my business "to do IT things in service of the business." I have customers who are buying Apples, or using Apple docs, you're laundering. >> In IT you're paid for an outcome. You don't create the outcome. The way IT works is business creates the outcome, IT helps fulfill the outcome, unless you work-- >> John: Is IT a department today? >> Yeah, it's still a department. >> It's still a department? >> Yeah, it is, but it's a department in the same way that, well finance is important, but it's actually the business. Sales is part, they're all integrated. In a really well-run business, they're all integrated. >> How do you know what a real business is? You go to a building, you go to the main offices, you visit the marketing floor, you visit the IT floor. Tell me what the decor is like. They'll tell you what they care about in a business. (John laughs) I've been in a lot of IT shops, not the beautiful shiny glass windows because it's perceived as a back office cost center. >> Digital transformation is always about taking costs, that's table stakes, but now some of the tech vendors need to understand that as you get more business focused, you got to start thinking about driving top line. >> You're also thinking about being in the product. For example, my company, we have three of the four top SAS vendors, as Illumio customers, we do the micro-segmentation for them. We're not their micro-segmentation, we're a component in the software they sell you guys. >> Justin: You're an input. >> Yeah, you are a commodity in the mix of what somebody's building and I think that's going to be one of the changes. The move to cloud, it's not rent or buy, it's not per hour per server, or call Michael Dell and send me a bunch of Q-series, or whatever the heck it's called, it's increasingly saying, "We have these outcomes, we have these dates, "we have these deliverables, "what am I doing to support that and be part of that?" >> Justin: That's it, it's a support function. It's a very important support function, but there's very few businesses, like digital transformation, I don't like that as a term-- >> What the heck does that mean? >> It means something to do with fingers. >> Alan: You use it a lot, what does it really mean, digital transformation? >> To me, first of all, I'm not a big hype person, I like the buzz word in the sense that it does have a relevance now in terms of doing business digitally means you're completely 100% technology-enabled in your business. That means IT is a power function, not a cost center, it's completely native, like electricity in the company-- >> Unless, let's say I have two customers, I have the Yellow Cab company of Las Vegas and I have Uber or Lyft as a customer. My role, as a technologist, or technology provider, is dramatically different in either one of those-- >> Digital transformation to me is a mindset of things like, "I'm going to do a blockchain, "I'm going to start changing the game, "I'm going to use technology "to change the value equation for my customer." It's not IT conversation in the sense of, let's buy more servers to make something happen for the guy who had a request in that saying, "Let's use technology digitally to change the outcomes." >> But, given that, if we assume that that's true, then there's two ways of doing that. Either we have the IT people need to learn more about business, or the business people need to learn more about IT. >> That's right. >> Which one do you think should happen? Traditionally-- >> I think they're on a collision course. >> I don't think you can survive as a senior executive in most businesses anymore by saying, "Oh, I'll get my CIO in here." >> I would like to believe that that's true, but when people say that it should be a strategic resource and so on, and yet we spend decades outsourcing IT to someone else. If it's really truly important to your business, why aren't you doing it yourself? >> Justin, it's a great question and here's my observations, just thinking out loud here. One, just from a Silicon Valley perspective, looking at entrepreneurial as a canary in the coalmine, you've seen over the past 10-15 years, recently past 10, entrepreneurs have become developer entrepreneurs, product entrepreneurs, have become very savvy on the business side. That's the programmer. When we see Travis with Uber, no VC, they got smart because they could educate themselves. AngelList, Venture Hacks, there's a lot of data out there, so I see some signs of developers specifically building apps because user design is really important, they are leading into, what I call, the street MBA. They're not actually getting an MBA, they don't read the Wall Street Journal, but they're learning about some business concepts that they have to understand to program. IT I think is still getting there, but not as much as the developers. >> Here's a great question that I've learned over the years, and look, I'm coming out of the IT side, as we all are. When I visit a customer and I try to sell them my product, my first question is, "If I didn't exist, what would you do? "And if you don't buy my product, what happens in your business?" And if they're saying, "I have this other alternative." Or it's like, "Ah, we'll do it next year." I mean, maybe I can sell them some product, but what they're really telling me is, "I don't matter." >> All right, let's change the conversation a little bit, just move to another direction I want to get your thoughts on. And I should have, on the intro, given you more prompts, Alan. You were also involved in Nicira, the startup that VMware had bought-- >> Alan: Before all this NSX stuff, I was early. >> Hold on, let me finish the intro. We've interviewed Martin Casado. Stu talks to us all the time, I'm sure Chess has been hearing on the other set, "Oh, hey Martin Casado." It was a great interview, of course they're on theCUBE directory. But, you were there when it was just developing and then boom, software-defined networking, it's going to save the world. NSX has become very important to VMware, what's your thoughts on that? What does the alumni from Nicira and that folks that are still here and outside of VMware think about what's it's turned into? Is it relevant? And where is it going? >> Look, I could have not predicted five years ago when Nicira was acquired by VMware, it would be the heart of everything that their CEO and their team is talking about, if you want to know if that's important, go to the directory of sessions and one out of every three are about NSX. But, I think what it really means is there's a recognition that the network component, which is what really NSX represents, is the part that's going to allow them to transcend the traditional software-defined data center. I have two connections, so Steve Herrod is my investor, Steve is the inventor of the software-defined data center. That was the old Kool-Aid, not the new Kool-Aid. We've left the software-defined data center, we've moved into this cloud era and for them NSX is their driving force on being able to extend the VMware control plane into environments they used to never play in before. That's imminently clear. >> John: Justin, what's your take on NSX? >> NSX is the compatibility mechanism for being able do VMware in multiple places, so I think it's very, very important for VMware as a company. I don't think it's the only solution to that particular problem of being able to have networks that move around, it's possible to do it in other ways. For example, cloud-native type things, will do the networking thing in a different way. But, the network hasn't really undergone the same kind of change that happened in server or it did in storage, it's been pretty much the same for a long, long time. >> You've had an industry structurally dominated by one company, things don't change when-- >> Justin: And it still is, yeah. >> John: Security, security, because we've got a little bit of time I want to get to security. You guys are in the security space. >> Thanks for noticing. >> (laughs) I still don't know what you did, I'm only kidding. Steve Harrod is your investor, former CEO of VMware, very relevant for folks watching. Guys, security Pat Gelsinger said years ago it should be a duo, we've got to fix this. Nothing has really happened. What is the state of the union, if you will, of security? Where the frig is it going? What the hell's going on with security? >> There's two issues with that. If we put our industry analyst hat on, security is the largest segment of IT where nobody owns 5% market share, so there's not gorilla force that can drive that. VMware was the gorilla force driving virtualization, Cisco drove networking, EMC, in the early days, drove storage, but when you get to security you have this kind of-- >> John: Diluted. >> It's like the Balkans, it's like feudal states. >> Justin: It's a ghastly nightmare. >> What I think what Pat was talking about, which we also subscribe to, there are some movements in security, which micro-segmentation is one of them, which are kind of reinstalling a form of forensic hygiene into saying, "Your practices, if they occur, "they will reduce the risk profile." But, I think 50% of the security solutions and categories-- >> So, if I've lost my teeth, I don't get cavities. That kind of thing going on. >> If you're a doctor and you're making rounds in the hospital, you wash your hands or you put on gloves. >> And that's where we are. That is the stage we are at with security is we're at the stage where surgeons didn't believe they should wash their hands because they knew better and they'd say, "No, this couldn't possibly be making patients sick." People have finally realized that people get sick and the germ theory is real and we should wash our hands. >> Your network makes you sick. Your network is the carrier. Everything that's happening in network is effectively the Typhoid Mary of security. (John laughs) We're building flat, fast, unsegmented Layer 3 networks, which allow viruses to move at the speed of light across your environment. So, movements like, what's that called App Defense? >> Justin: App Defense, yep. >> App Defense or micro-segmentation from Illumio and Vmware, are the kind of new hygiene and new practices that are going to reduce the wide-spread disease growing. >> From an evolution theory, then the genetics of networks are effed up. This is what you're saying, we need to fix-- >> No, the networks are getting back to what they were supposed to do. Networks move packets from point A to point D. >> The dumb network? >> Alan: Yes, the dumber the better. >> Okay. You agree? >> Alan: Dumb them down. >> Dumb networks, smart end points. Smart networks doesn't scale as well as smart end points, and we're seeing that with edge computing, for example. Distributed networking is a hard problem and there is so much compute going out there, everything has a computer in it, they're just getting tinier and tinier. If we rely on the network to secure all of that, we're doomed. >> Better off at the end point. And this fuels the whole IoT edge thing, straight up one of the key wave slides out there. >> What you're going to have is a lot of telemetry points and you're going to have a lot of enforcement points. Our architecture is compatible with this, VMware is moving in this direction, other people are, but the people that are clinging to the gum up my network with all kinds of crap, because actually people want it to go the other way. If you think about it, the Internet was built to move packets from point A to point B in case of a nuclear war and, other than routing, there wasn't a whole lot-- >> We still might have that problem (laughs) >> Yeah, well there's always that (laughs). >> Fingers crossed. >> Guys, we got to break, next segment. Al, I'll give you the last word, just give a quick plug for Illumio. Thanks for coming on and being a special guest analyst, as usual, great stuff. Little slow from vacation, you're usually a little snappier. >> Alan: Little slow off the vacation mark. >> Yeah, come on. Back in Italy-- >> Too much Brunello di Motalcino, yeah. >> John: (laughs) Quick plug for Illumio, do a quick plug. >> We're really great to be here. John, you and I talked recently, Illumio is growing very rapidly, clearly we are probably emerging as one of the leaders in this micro-segmentation movement. >> John: A wannabe gorilla. >> What's that? >> You're a wannabe gorilla, go big or go home. >> We are, well, gorillas have to start as little gorillas first, we're not a wannabe gorilla, we're just gorillas growing really rapidly. It takes a lot more food at the zoo to keep us going. About 200 people growing rapidly, just moved into Asia, Pat, we got a guy in your part of the world we work with. >> First of all, it's not a zoo, it's still a jungle. The zoo is not yet established. >> That's true. We're going to establish the zoo. Things are great at Illumio. We have amazing things on the floor here today of, basically the system will actually write its own security policy for you. It's a lot of movement into machine learning, a lot of good stuff. >> All right. Guys, thanks so much. Alan Cohen with Illumio, >> Alan: Thank you. >> Chief Commercial Officer. And Justin Warren, analyst, I'm John Furrier. More live coverage from VMworld after this short break. (electronic music)

>> Voiceover: Live from Las Vegas, it's theCUBE, covering Discover 2016, Las Vegas. Brought to you by Hewlett Packard Enterprise. Now, here are your hosts, John Furrier and Dave Vellante. >> Okay, welcome back everyone. We are here live in Las Vegas for SiliconANGLE Media's theCUBE. It's our flagship program, we go out to the events to extract the signal from the noise, we're your exclusive coverage of HP Enterprise, Discover 2016, I'm John Furrier with my co-host, Dave Vellante, extracting the signals from the noise with two great guests, Dr. Tom Bradicich, VP and General Manager of the servers and IoT systems, and Eric Starkloff, the EVP of Global Sales and Marketing at National Instruments, welcome back to theCUBE. >> Thank you. >> John: Welcome for the first time Cube alumni, welcome to theCUBE. >> Thank you. >> So we are seeing a real interesting historic announcement from HP, because not only is there an IoT announcement this morning that you are the architect of, but the twist that you're taking with IoT, is very cutting edge, kind of like I just had Google IO, and at these big conferences they always have some sort of sexy demo, that's to kind of show the customers the future, like AI, or you know, Oculus Rift goggles as the future of their application, but you actually don't have something that's futuristic, it's reality, you have a new product, around IoT, at the Edge, Edgeline, the announcements are all online. Tom, but you guys did something different. And Eric's here for a reason, we'll get to that in a second, but the announcement represents a significant bet. That you're making, and HP's making, on the future of IoT. Please share the vision, and the importance of this event. >> Well thank you, and it's great to be back here with you guys. We've looked around and we could not find anything that existed today, if you will, to satisfy the needs of this industry and our customers. So we had to create not only a new product, but a new product category. A category of products that didn't exist before, and the new Edgeline1000, and the Edgeline4000 are the first entrance into this new product category. Now, what's a new product category? Well, whoever invented the first automobile, there was not a category of automobiles. When the first automobile was invented, it created a new product category called automobiles, and today everybody has a new entry into that as well. So we're creating a new product category, called converged IoT systems. Converged IoT systems are needed to deliver the real-time insights, real-time response, and advance the business outcomes, or the engineering outcomes, or the scientific outcomes, depending on the situation of our customers. They're needed to do that. Now when you have a name, converged, that means somewhat, a synonym is integration, what did we integrate? Now, I want to tell you the three major things we integrated, one of which comes from Eric, and the fine National Instruments company, that makes this technology that we actually put in, to the single box. And I can't wait to tell you more about it, but that's what we did, a new product category, not just two new products. >> So, you guys are bringing two industries together, again, that's not only just point technologies or platforms, in tooling, you're bringing disparate kind of players together. >> Yes. >> But it's not just a partnership, it's not like shaking hands and doing a strategic partnership, so there's real meat on the bone here. Eric, talk about one, the importance of this integration of two industries, basically, coming together, converged category if you will, or industry, and what specifically is in the box or in the technology. >> Yeah, I think you hit it exactly right. I mean, everyone talks about the convergence of OT, or operational technology, and IT. And we're actually doing it together. I represent the OT side, National Instruments is a global leader. >> John: OT, it means, just for the audience? >> Operational Technology, it's basically industrial equipment, measurement equipment, the thing that is connected to the real world. Taking data and controlling the thing that is in the internet of things, or the industrial internet of things as we play. And we've been doing internet of... >> And IT is Information Technologies, we know what that is, OT is... >> I figured that one you knew, OT is Operational Technology. We've been doing IoT before it was a buzzword. Doing measurement and control systems on industrial equipment. So when we say we're making it real, this Edgeline system actually incorporates in National Instruments technology, on an industry standard called PXI. And it is a measurement and control standard that's ubiquitous in the industry, and it's used to connect to the real world, to connect to sensors, actuators, to take in image data, and temperature data and all of those things, to instrument the world, and take in huge amounts of analog data, and then apply the compute power of an Edgeline system onto that application. >> We don't talk a lot about analog data in the IT world. >> Yeah. >> Why is analog data so important, I mean it's prevalent obviously in your world. Talk a little bit more about that. >> It's the largest source of data in the world, as Tom says it's the oldest as well. Analog, of course if you think about it, the analog world is literally infinite. And it's only limited by how many things we want to measure, and how fast we measure them. And the trend in technology is more measurement points and faster. Let me give you a couple of examples of the world we live in. Our customers have acquired over the years, approximately 22 exabytes of data. We don't deal with exabytes that often, I'll give an analogy. It's streaming high definition video, continuously, for a million years, produces 22 exabytes of data. Customers like CERN, that do the Large Hadron Collider, they're a customer of ours, they take huge amounts of analog data. Every time they do an experiment, it's the equivalent of 14 million images, photographs, that they take per second. They create 25 petabytes of data each year. The importance of this and the importance of Edgeline, and we'll get into this some, is that when you have that quantity of data, you need to push processing, and compute technology, towards the edge. For two main reasons. One, is the quantity of data, doesn't lend itself, or takes up too much bandwidth, to be streaming all of it back to central, to cloud, or centralized storage locations. The other one that's very, very important is latency. In the applications that we serve, you often need to make a decision in microseconds. And that means that the processing needs to be done, literally the speed of light is a limiting factor, the processing must be done on the edge, at the thing itself. >> So basically you need a data center at the edge. >> A great way to say it. >> A great way to say it. And this data, or big analog data as we love to call it, is things like particulates, motion, acceleration, voltage, light, sound, location, such as GPS, as well as many other things like vibration and moisture. That is the data that is pent up in things. In the internet of things. And Eric's company National Instruments, can extract that data, digitize it, make it ones and zeroes, and put it into the IT world where we can compute it and gain these insights and actions. So we really have a seminal moment here. We really have the OT industry represented by Eric, connecting with the IT industry, in the same box, literally in the same product in the box, not just a partnership as you pointed out. In fact it's quite a moment, I think we should have a photo op here, shaking hands, two industries coming together. >> So you talk about this new product category. What are the parameters of a new product category? You gave an example of an automobile, okay, but nobody had ever seen one before, but now you're bringing together sort of two worlds. What defines the parameters of a product category, such that it warrants a new category? >> Well, in general, never been done before, and accomplishes something that's not been done before, so that would be more general. But very specifically, this new product, EL1000 and EL4000, creates a new product category because this is an industry first. Never before have we taken data acquisition and capture technology from National Instruments, and data control technology from National Instruments, put that in the same box as deep compute. Deep x86 compute. What do I mean by deep? 64 xeon cores. As you said, a piece of the data center. But that's not all we converged. We took Enterprise Class systems management, something that HP has done very well for many, many years. We've taken the Hewlett Packard Enterprise iLo lights-out technology, converged that as well. In addition we put storage in there. 10s of terabytes of storage can be at the edge. So by this combination of things, that did exist before, the elements of course, by that combination of things, we've created this new product category. >> And is there a data store out there as well? A database? >> Oh yes, now since we have, this is the profundity of what I said, lies in the fact that because we have so many cores, so close to the acquisition of the data, from National Instruments, we can run virtually any application that runs on an x86 server. So, and I'm not exaggerating, thousands. Thousands of databases. Machine learning. Manageability, insight, visualization of data. Data capture tools, that all run on servers and workstations, now run at the edge. Again, that's never been done before, in the sense that at the edge today, are very weak processing. Very weak, and you can't just run an unmodified app, at that level. >> And in terms of the value chain, National Instruments is a supplier to this new product category? Is that the right way to think about it? >> An ingredient, a solution ingredient but just like we are, number one, but we are both reselling the product together. >> Dave: Okay. >> So we've jointly, collaboratively, developed this together. >> So it's engineers and engineers getting together, building the product. >> Exactly. His engineers, mine, we worked extremely close, and produced this beauty. >> We had a conversation yesterday, argument about the iPhone, I was saying hey, this was a game-changing category, if you will, because it was a computer that had software that could make phone calls. Versus the other guys, who had a phone, that could do text messages and do email. With a browser. >> Tom: With that converged product. >> So this would be similar, if I may, and you can correct me if I'm wrong, I want you to correct me and clarify, what you're saying is, you guys essentially looked at the edge differently, saying let's build the data center, at the edge, in theory or in concept here, in a little concept, but in theory, the power of a data center, that happens to do edge stuff. >> Tom: That's right. >> Is that accurate? >> I think it's very accurate. Let me make a point and let you respond. >> Okay. >> Neapolitan ice cream has three flavors. Chocolate, vanilla, strawberry, all in one box. That's what we did with this Edgeline. What's the value of that? Well, you can carry it, you can store it, you can serve it more conveniently, with everything together. You could have separate boxes, of chocolate, vanilla, and strawberry, that existed, right, but coming together, that convergence is key. We did that with deep compute, with data capture and control, and then systems management and Enterprise class device and systems management. And I'd like to explain why this is a product. Why would you use this product, you know, as well. Before I continue though, I want to get to the seven reasons why you would use this. And we'll go fast. But seven reasons why. But would you like to add anything about the definition of the conversion? >> Yeah, I was going to just give a little perspective, from an OT and an industrial OT kind of perspective. This world has generally lived in a silo away from IT. >> Mm-hmm. >> It's been proprietary networking standards, not been connected to the rest of the enterprise. That's the huge opportunity when we talk about the IoT, or the industrial IT, is connecting that to the rest of the enterprise. Let me give you an example. One of our customers is Duke Energy. They've implemented an online monitoring system for all of their power generation plants. They have 2,000 of our devices called CompactRIO, that connect to 30,000 sensors across all of their generation plants, getting real-time monitoring, predictive analytics, predictive failure, and it needs to have processing close to the edge, that latency issue I mentioned? They need to basically be able to do deep processing and potentially shut down a machine. Immediately if it's an a condition that warrants so. The importance here is that as those things are brought online, into IT infrastructure, the importance of deep compute, and the importance of the security and the capability that HPE has, becomes critical to our customers in the industrial internet of things. >> Well, I want to push back and just kind of play devil's advocate, and kind of poke holes in your thesis, if I can. >> Eric: Sure thing. >> So you got the probes and all the sensors and all the analog stuff that's been going on for you know, years and years, powering and instrumentation. You've got the box. So okay, I'm a customer. I have other stuff I might put in there, so I don't want to just rely on just your two stuff. Your technologies. So how do you deal with the corner case of I might have my own different devices, it's connected through IT, is that just a requirement on your end, or is that... How do you deal with the multi-vendor thing? >> It has to be an open standard. And there's two elements of open standard in this product, I'll let Tom come in on one, but one of them is, the actual IO standard, that connects to the physical world, we said it's something called PXI. National Instruments is a major vendor within this PXI market, but it is an open standard, there are 70 different vendors, thousands of products, so that part of it in connecting to the physical world, is built on an open standard, and the rest of the platform is as well. >> Indeed. Can I go back to your metaphor of the smartphone that you held up? There are times even today, but it's getting less and less, that people still carry around a camera. Or a second phone. Or a music player. Or the Beats headphones, et cetera, right? There's still time for that. So to answer your question, it's not a replacement for everything. But very frankly, the vision is over time, just like the smartphone, and the app store, more and more will get converged into this platform. So it's an introduction of a platform, we've done the inaugural convergence of the aforementioned data capture, high compute, management, storage, and we'll continue to add more and more, again, just like the smartphone analogy. And there will still be peripheral solutions around, to address your point. >> But your multi-vendor strategy if I get this right, doesn't prevent you, doesn't foreclose the customer's benefits in any way, so they connect through IT, they're connected into the box and benefits. You changed, they're just not converged inside the box. >> At this point. But I'm getting calls regularly, and you may too, Eric, of other vendors saying, I want in. I would like to relate that conceptually to the app store. Third party apps are being produced all the time that go onto this platform. And it's pretty exciting. >> And before you get to your seven killer attributes, what's the business model? So you guys have jointly engineered this product, you're jointly selling it through your channels, >> Eric: Yes. >> If you have a large customer like GE for example, who just sort of made the public commitment to HPE infrastructure. How will you guys "split the booty," so to speak? (laughter) >> Well we are actually, as Tom said we are doing reselling, we'll be reselling this through our channel, but I think one of the key things is bringing together our mutual expertise. Because when we talk about convergence of OT and IT, it's also bringing together the engineering expertise of our two companies. We really understand acquiring data from the real world, controlling industrial systems. HPE is the world leader in IT technology. And so, we'll be working together and mutually with customers to bring those two perspectives together, and we see huge opportunity in that. >> Yeah, okay so it's engineering. You guys are primarily a channel company anyway, so. >> Actually, I can make it frankly real simple, knowing that if we go back to the Neapolitan ice cream, and we reference National Instruments as chocolate, they have all the contact with the chocolate vendor, the chocolate customers if you will. We have all the vanilla. So we can go in and then pull each other that way, and then go in and pull this way, right? So that's one way as this market develops. And that's going to very powerful because indeed, the more we talk about when it used to be separated, before today, the more we're expressing that also separate customers. That the other guy does not know. And that's the key here in this relationship. >> So talk about the trend we're hearing here at the show, I mean it's been around in IT for a long time. But more now with the agility, the DevOps and cloud and everything. End to end management. Because that seems to be the table stakes. Do you address any of that in the announcement, is it part, does it fit right in? >> Absolutely, because, when we take, and we shift left, this is one of our monikers, we shift left. The data center and the cloud is on the right, and we're shifting left the data center class capabilities, out to the edge. That's why we call it shift left. And we meet, our partner National Instruments is already there, and an expert and a leader. As we shift left, we're also shifting with it, the manageability capabilities and the software that runs the management. Whether it be infrastructure, I mean I can do virtualization at the edge now, with a very popular virtualization package, I can do remote desktops like the Citrix company, the VMware company, these technologies and databases that come from our own Vertica database, that come from PTC, a great partner, with again, operations technology. Things that were running already in the data center now, get to run there. >> So you bring the benefit to the IT guy, out to the edge, to management, and Eric, you get the benefit of connecting into IT, to bring that data benefits into the business processes. >> Exactly. And as the industrial internet of things scales to billions of machines that have monitoring, and online monitoring capability, that's critical. Right, it has to be manageable. You have to be able to have these IT capabilities in order to manage such a diverse set of assets. >> Well, the big data group can basically validate that, and the whole big data thesis is, moving data where it needs to be, and having data about physical analog stuff, assets, can come in and surface more insight. >> Exactly. The biggest data of all. >> And vice versa. >> Yup. >> All right, we've got to get to the significant seven, we only have a few minutes left. >> All right. Oh yeah. >> Hit us. >> Yeah, yeah. And we're cliffhanging here on that one. But let me go through them real quick. So the question is, why wouldn't I just, you know, rudimentary collect the data, do some rudimentary analytics, send it all up to the cloud. In fact you hear that today a lot, pop-up. Censored cloud, censored cloud. Who doesn't have a cloud today? Every time you turn around, somebody's got a cloud, please send me all your data. We do that, and we do that well. We have Helion, we have the Microsoft Azure IoT cloud, we do that well. But my point is, there's a world out there. And it can be as high as 40 to 50 percent of the market, IDC is quoted as suggesting 40 percent of the data collected at the edge, by for example National Instruments, will be processed at the edge. Not sent, necessarily back to the data center or cloud, okay. With that background, there are seven reasons to not send all the data, back to the cloud. That doesn't mean you can't or you shouldn't, it just means you don't have to. There are seven reasons to compute at the edge. With an Edgeline system. Ready? >> Dave: Ready. >> We're going to go fast. And there'll be a test on this, so. >> I'm writing it down. >> Number one is latency, Eric already talked about that. How fast do you want your turnaround time? How fast would you like to know your asset's going to catch on fire? How fast would you like to know when the future autonomous car, that there's a little girl playing in the road, as opposed to a plastic bag being blown against the road, and are you going to rely on the latency of going all the way to the cloud and back, which by the way may be dropped, it's not only slow, but you ever try to make a phone call recently, and it not work, right? So you get that point. So that's latency one. You need to time to incite, time to response. Number one of seven, I'll go real quick. Number two of seven is bandwidth. If you're going to send all this big analog data, the oldest, the fastest, and the biggest of all big data, all back, you need tremendous bandwidth. And sometimes it doesn't exist, or, as some of our mutual customers tell us, it exists but I don't want to use it all for edge data coming back. That's two of seven. Three of seven is cost. If you're going to use the bandwidth, you've got to pay for it. Even if you have money to pay for it, you might not want to, so again that's three, let's go to four. (coughs) Excuse me. Number four of seven is threats. If you're going to send all the data across sites, you have threats. It doesn't mean we can't handle the threats, in fact we have the best security in the industry, with our Aruba security, ClearPass, we have ArcSight, we have Volt. We have several things. But the point is, again, it just exposes it to more threats. I've had customers say, we don't want it exposed. Anyway, that's four. Let's move on to five, is duplication. If you're going to collect all the data, and then send it all back, you're going to duplicate at the edge, you're going to duplicate not all things, but some things, both. All right, so duplication. And here we're coming up to number six. Number six is corruption. Not hostile corruption, but just package dropped. Data gets corrupt. The longer you have it in motion, e.g. back to the cloud, right, the longer it is as well. So you have corruption, you can avoid. And number three, I'm sorry, number seven, here we go with number seven. Not to send all the data back, is what we call policies and compliance, geo-fencing, I've had a customer say, I am not allowed to send all the data to these data centers or to my data scientists, because I can't leave country borders. I can't go over the ocean, as well. Now again, all these seven, create a market for us, so we can solve these seven, or at least significantly ameliorate the issues by computing at the edge with the Edgeline systems. >> Great. Eric, I want to get your final thoughts here, and as we wind down the segment. You're from the ops side, ops technologies, this is your world, it's not new to you, this edge stuff, it's been there, been there, done that, it is IoT for you, right? So you've seen the evolution of your industry. For the folks that are in IT, that HP is going to be approaching with this new category, and this new shift left, what does it mean? Share your color behind, and reasoning and reality check, on the viability. >> Sure. >> And relevance. >> Yeah, I think that there are some significant things that are driving this change. The rise of software capability, connecting these previously siloed, unconnected assets to the rest of the world, is a fundamental shift. And the cost point of acquisition technology has come down the point where we literally have a better, more compelling economic case to be made, for the online monitoring of more and more machine-type data. That example I gave of Duke Energy? Ten years ago they evaluated online monitoring, and it wasn't economical, to implement that type of a system. Today it is, and it's actually very, very compelling to their business, in terms of scheduled downtime, maintenance cost, it's a compelling value proposition. And the final one is as we deliver more analytics capability to the edge, I believe that's going to create opportunity that we don't even really, completely envision yet. And this deep computing, that the Edgeline systems have, is going to enable us to do an analysis at the edge, that we've previously never done. And I think that's going to create whole new opportunities. >> So based on your expert opinion, talk to the IT guys watching, viability, and ability to do this, what's the... Because some people are a little nervous, will the parachute open? I mean, it's a huge endeavor for an IT company to instrument the edge of their business, it's the cutting, bleeding edge, literally. What's the viability, the outcome, is it possible? >> It's here now. It is here now, I mean this announcement kind of codifies it in a new product category, but it's here now, and it's inevitable. >> Final word, your thoughts. >> Tom: I agree. >> Proud papa, you're like a proud papa now, you got your baby out there. >> It's great. But the more I tell you how wonderful the EL1000, EL4000 is, it's like my mother calling me handsome. Therefore I want to point the audience to Flowserve. F-L-O-W, S-E-R-V-E. They're one of our customers using Edgeline, and National Instruments equipment, so you can find that video online as well. They'll tell us about really the value here, and it's really powerful to hear from a customer. >> John: And availability is... >> Right now we have EL1000s and EL4000s in the hands of our customers, doing evaluations, at the end of the summer... >> John: Pre-announcement, not general availability. >> Right, general availability is not yet, but we'll have that at the end of the summer, and we can do limited availability as we call it, depending on the demand, and how we roll it out, so. >> How big the customer base is, in relevance to the... Now, is this the old boon shot box, just a quick final question. >> Tom: It is not, no. >> Really? >> We are leveraging some high-performance, low-power technology, that Intel has just announced, I'd like to shout out to that partner. They just announced and launched... Diane Bryant did her keynote to launch the new xeon, E3, low-power high-performance xeon, and it was streamed, her keynote, on the Edgeline compute engine. That's actually going into the Edgeline, that compute blade is going into the Edgeline. She streamed with it, we're pretty excited about that as well. >> Tom and Eric, thanks so much for sharing the big news, and of course congratulations, new category. >> Thank you. >> Let's see how this plays out, we'll be watching, got to get the draft picks in for this new sports league, we're calling it, like IoT, the edge, of course we're theCUBE, we're living at the edge, all the time, we're at the edge of HPE Discovery. Have one more day tomorrow, but again, three days of coverage. You're watching theCUBE, I'm John Furrier with Dave Vellante, we'll be right back. (electronic music)