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Graham Breeze & Mario Blandini, Tintri by DDN | VMworld 2019
>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by VM Wear and its ecosystem partners. >> Welcome back to San Francisco, everybody. My name is David Lantz. I'm here with my co host John Troia. This is Day three of V M World 2019 2 sets. >> This is >> our 10th year at the M. World Cube is the leader in live enterprise tech coverage. Marry on Blondie is here. He's the C m o and chief evangelist that 10 tree by DDN Yes, sir. He's joined by Graham Breezes The Field CTO at 10 Tree also by DDN Recent acquisition jets Great to see you. >> Likewise, as they say, we're back. I like I like to call it a hibernation in the sense that people may have not known where did Ian or 10 Trias and Tension by Dede and, as the name implies, were acquired a year ago at the M World August 31st of 2018. And in the year since, we've been ableto invest in engineering support, my joining the company in marketing to take this solution, we've been able to save thousands of customers millions of man hours and bring it to a larger number of users. Way >> first saw 10 tree, we said, Wow, this is all about simplification. And Jonah Course you remember that when you go back to the early early Dick Cube days of of'em World, very complex storage was a major challenge. 10 Tree was all about simplifying that. Of course, we know DDN as well is the high performance specialist and have worked with those guys for a number of years. But take >> us >> back Married to the original vision of 10 Cherie. Is that original vision still alive? How was it evolved? >> Well, I'd say that it's, ah, number one reason why we're a part of the DD and family of brands because, as, ah, portfolio company, they're looking good. Bring technologies. I'm the marketing guy for our enterprise or virtual ization audience, and the product sets that cover high performance computing have their own audience. So for me, I'm focused on that. Graham's also focused on that, and, uh, really what continues to make us different today is the fact we were designed to learn from the beginning to understand how virtual machines end to end work with infrastructure. And that's really the foundation of what makes us different today. The same thing, right? >> So from the very beginning we were we were built to understand the work clothes that we service in the data center. So and that was virtual machines. We service those on multiple hyper visors today in terms of being able to understand those workloads intrinsically gives us a tremendous capability. Thio place. I owe again understanding that the infrastructure network storage, hyper visor, uh, weaken view that end end in terms of a latent a graph and give customers and insight into the infrastructure how it's performing. I would say that we're actually extending that further ways in terms of additional workload that we're gonna be able to take on later this year. >> So I know a lot >> of storage admits, although I I only play one on >> TV, but, uh, no, consistently >> throughout the years, right? 10 tree user experiences that is the forefront there. And in fact, they they often some people have said, You know what? I really want to get something done. I grab my tent Reeboks and so it can't talk. Maybe some examples of one example of why the user experience how the user experiences differ or why, why it's different. >> I'll start off by saying that I had a chance being new to the company just two weeks to meet a lot of 10 tree users. And prior to taking the job, I talkto us some folks behind the scenes, and they all told me the same thing. But what I was so interested to hear is that if they didn't have 10 tree, they'd otherwise not have the time to do the automation work, the research work, the strategy work or even the firefighting that's vital to their everyday operations. Right? So it's like, of course, I don't need to manage it. If I did, I wouldn't be able to do all these other things. And I think that's it. Rings true right that it's hard to quantify that time savings because people say, 0 1/2 of it. See, that's really not much of the greater scheme of things. I don't know. 1/2 50. Working on strategic program is a huge opportunity. Let's see >> the value of 10 tree to our end users and we've heard from a lot of them this week actually spent a fantastic event hearing from many of our passionate consumers. From the very beginning. We wanted to build a product that ultimately customers care about, and we've seen that this week in droves. But I would say the going back to what they get out of it. It's the values and what they don't have to do, so they don't have to carve up ones. They don't have to carve up volumes. All they have to do is work with the units of infrastructure that air native to their environment, v ems. They deal with everything in their environment from our virtual machine perspective, virtual machines, one thing across the infrastructure. Again, they can add those virtual machines seamlessly. They can add those in seconds they don't have toe size and add anything in terms of how am I gonna divide up the storage coming in a provisional I Oh, how am I going to get the technical pieces right? Uh, they basically just get place v EMS, and we have a very simplistic way to give them Ah, visualization into that because we understand that virtual machine and what it takes to service. It comes right back to them in terms of time savings that are tremendous in terms of that. >> So let's deal with the elephant in the room. So, so 10 tree. We've talked about all the great stuff in the original founding vision. But then I ran into some troubles, right? And so what? How do you deal with that with customers in terms of just their perception of what what occurred you guys did the eye poets, et cetera, take us through how you're making sure customers are cool with you guys. >> I'm naturally, glass is half full kind of guy from previous, uh, times on the Cube. The interesting thing is, not a lot of people actually knew. Maybe we didn't create enough brand recognition in the past for people to even know that there was a transition. There were even some of our customers. And Graham, you can pile on this that because they don't manage the product every day because they don't have to. It's kind of so easy they even for gotten a lot about it on don't spend a lot of time. I'd say that the reason why we are able to continue. Invest today a year after the acquisition is because retaining existing customers was something that was very successful, and to a lot of them, you can add comments. It wasn't easy to switch to something. They could just switch to something else because there's no other product, does these automatic things and provides the predictive modeling that they're used to. So it's like what we switched to so they just kept going, and to them, they've given us a lot of great feedback. Being owned by the largest private storage company on planet Earth has the advantages of strong source of supply. Great Leverett reverse logistics partnerships with suppliers as a bigger company to be able to service them. Long >> trial wasn't broke, so you didn't need to fix it. And you were ableto maintain obviously a large portion of that customer base. And what was this service experience like? And how is that evolving? And what is Dede and bring to the table? >> So, uh, boy DD and brings so many resources in terms of bringing this from the point when they bought us last year. A year ago today, I think we transition with about 40 people in the company. We're up about 200 now, so Ah, serious investment. Obviously, that's ah have been a pretty heavy job in terms of building that thing back up. Uh, service and support we've put all of the resource is the stated goal coming across the acquisition was they have, ah, 10. Tree support tender by DNC would be better than where 10 tree support was. We fought them on >> rate scores, too. So it's hard to go from there. Right? And >> I would say what we've been doing on that today. I mean, in terms of the S L. A's, I think those were as good as they've ever been from that perspective. So we have a big team behind us that are working really hard to make sure that the customer experience is exactly what we want. A 10 tree experience to be >> So big messages at this This show, of course, multi cloud kubernetes solving climate change, fixing the homeless problem in San Francisco. I'm not hearing that from you guys. What's what's your key message to the VM world? >> Well, I personally believe that there's a lot of opportunity to invest in improving operations that are already pretty darn stable, operating these environments, talking to folks here on the floor. These new technologies you're talking about are certainly gonna change the way we deploy things. But there's gonna be a lot of time left Still operating virtualized server infrastructure and accelerating VD I deployments to just operationalized things better. We're hoping that folks choose some new technologies out there. I mean, there's a bill was a lot of hype in past years. About what technology to choose. We're all flash infrastructure, but well, I'd liketo for the say were intelligent infrastructure. We have 10 and 40 get boards were all flash, but that's not what you choose this. You choose this because you're able to take their operations and spend more your time on the apse because you're not messing around with that low level infrastructure. I think that there's a renaissance of, of, of investment and opportunity to innovate in that space into Graham's point about going further up the stack. We now have data database technology that we can show gives database administrators the direct ability to self service their own cloning, their own, staging their own operations, which otherwise would be a complex set of trouble tickets internally to provision the environment. Everyone loves to self service. That's really big. I think our customers love. It's a self service aspect. I see the self service and >> the ability to d'oh again, not have to worry about all the things that they don't have to do in terms of again not having to get into those details. A cz Morrow mentioned in terms of the database side, that's, ah, workload, the workload intelligence that we've already had for virtual machines. We can now service that database object natively. We're going to do sequel server later this year, uh, being ableto again, being able to see where whether or not they've got a host or a network or a storage problem being able to see where those the that unit they're serving, having that inside is tremendously powerful. Also being able the snapshot to be able to clone to be able thio manage and protect that database in a native way. Not having to worry about, you know, going into a console, worrying about the underlying every structure, the ones, the volumes, all the pieces that might people people would have to get involved with maybe moving from, like, production to test and those kinds of things. So it's the simplicity, eyes all the things that you really don't have to do across the getting down in terms of one's the volumes, the sizing exercises one of our customers put it. Best thing. You know, I hear a lot of things back from different customer. If he says the country, the sentry box is the best employee has >> I see that way? Reinvest, Reinvest. I haven't heard a customer yet that talks about reducing staff. Their I t staff is really, really critical. They want to invest up Kai throw buzzword out there, Dev. Ops. You didn't mention that it's all about Dev ops, right? And one thing that's interesting here is were or ah, technology that supports virtual environments and how many software developers use virtual environments to write, test and and basically developed programmes lots and being able to give those developers the ability to create new machines and be very agile in the way they do. Their test of is awesome and in terms of just taking big amounts of data from a nap, if I can circling APP, which is these virtual machines be ableto look at that on the infrastructure and more of her copy data so that I can do stuff with that data. All in the flying virtualization we think of Dev Ops is being very much a cloud thing. I'd say that virtual ization specifically server virtualization is the perfect foundation for Dav ops like functionality. And what we've been able to do is provide that user experience directly to those folks up the stacks of the infrastructure. Guy doesn't have to touch it. I wanted to pull >> a couple of threads together, and I think because we talked about the original vision kind of E m r centric, VM centric multiple hyper visors now multi cloud here in the world. So what >> are you seeing >> in the customers? Is that is it? Is it a multi cloud portfolio? What? What are you seeing your customers going to in the future with both on premise hybrid cloud public. So where does where does 10 tree fit into the storage portfolio? >> And they kind of >> fit all over the map. I think in terms of the most of the customers that we have ultimately have infrastructure on site and in their own control. We do have some that ultimately put those out in places that are quote unquote clouds, if you will, but they're not in the service. Vendor clouds actually have a couple folks, actually, that our cloud providers. So they're building their own clouds to service customers using market. What >> differentiates service is for serving better d our offerings because they can offer something that's very end end for that customer. And so there's more. They monetize it. Yeah, and I think those type of customers, like the more regional provider or more of a specialty service provider rather than the roll your own stuff, I'd say that Generally speaking, folks want tohave a level of abstraction as they go into new architecture's so multi cloud from a past life I wrote a lot about. This is this idea that I don't have to worry about which cloud I'm on to do what I'm doing. I want to be able to do it and then regards of which clouded on it just works. And so I think that our philosophy is how we can continue to move up the stack and provide not US access to our analytics because all that analytic stuff we do in machine learning is available via a P I We have ah v r o plug in and all that sort of stuff to be able allow that to happen. But when we're talking now about APS and how those APS work across multiple, you know, pieces of infrastructure, multiple V EMS, we can now develop build a composite view of what those analytics mean in a way that really now gives them new inside test. So how can I move it over here? Can I move over here? What's gonna happen if I move it over here over there? And I think that's the part that should at least delineate from your average garden variety infrastructure and what we like to call intelligent infrastructure stopping that can, Actually that's doing stuff to be able to give you that data because there's always a way you could do with the long way. Just nobody has time to do with the long way, huh? No. And I would actually say that you >> know what you just touched on, uh, going back to a fundamental 10 tree. Different churches, getting that level of abstraction, right is absolutely the key to what we do. We understand that workload. That virtual machine is the level of abstraction. It's the unit infrastructure within a virtual environment in terms of somebody who's running databases. Databases are the unit of infrastructure that they want to manage. So we line exactly to the fundamental building blocks that they're doing in those containers, certainly moving forward. It's certainly another piece we're looking. We've actually, uh I think for about three years now, we've been looking pretty hard of containers. We've been waiting to see where customers were at. Obviously Of'em were put. Put some things on the map this week in terms of that they were pretty excited about in terms of looking in terms of how we would support. >> Well, it certainly makes it more interesting if you're gonna lean into it with someone like Vienna where behind it. I mean, I still think there are some questions, but I actually like the strategy of because if I understand it correctly of Visa, the sphere admin is going to see the spear. But ah ah, developers going to see kubernetes. So >> yeah, that's kind of cool. And we just want to give people an experience, allows them to self service under the control of the I T department so that they can spend less time on infrastructure. Just the end of the I haven't met a developer that even likes infrastructure. They love to not have to deal with it at all. They only do it out. It assessed even database folks They love infrastructural because they had to think about it. They wanted to avoid the pitfalls of bad infrastructure infrastructures Code is yeah, way we believe in that >> question. Go to market. Uh, you preserve the 10 tree name so that says a lot. What's to go to market like? How are you guys structuring the >> organizational in terms of, ah, parent company perspective or a wholly owned subsidiary of DDN? So 10 tree by DDN our go to market model is channel centric in the sense that still a vast majority of people who procure I t infrastructure prefer to use an integrator or reseller some sort of thing. As far as that goes, what you'll see from us, probably more than you did historically, is more work with some of the folks in the ecosystem. Let's say in the data protection space, we see a rubric as an example, and I think you can talk to some of that scene where historically 10 Tree hadn't really done. It's much collaboration there, but I think now, given the overall stability of the segment and people knowing exactly where value could be added, we have a really cool joint story and you're talking about because your team does that. >> Yeah, so I would certainly say, you know, in terms of go to market Side, we've been very much channel lead. Actually, it's been very interesting to go through this with the channel folks. It's a There's also a couple other pieces I mentioned you mentioned some of the cloud provider. Some of those certainly crossed lines between whether they're MSP is whether they are resellers, especially as we go to our friends across the pond. Maybe that's the VM it'll Barcelona discussion, but some of those were all three, right? So there are customer their service providers there. Ah ah, channel partner if you want terms of a resellers. So, um, it's been pretty interesting from that perspective. I think the thing is a lot of opportunity interview that Certainly, uh, I would say where we're at in terms of, we're trying to very much. Uh, we understand customers have ecosystems. I mean, Marco Mitchem, the backup spaces, right? Uh, customers. We're doing new and different things in there, and they want us to fit into those pieces. Ah, and I'd certainly say in the world that we're in, we're not tryingto go solve and boil the ocean in terms of all the problems ourselves we're trying to figure out are the things that we can bring to the table that make it easier for them to integrate with us And maybe in some new and novel, right, >> So question So what's the number one customer problem that when you guys hear you say, that's our wheelhouse, we're gonna crush the competition. >> I'll let you go first, >> So I'd say, you know, if they have a virtualized environment, I mean, we belong there. Vermin. Actually, somebody said this bed is the best Earlier again. Today in the booze is like, you know, the person who doesn't have entries, a person who doesn't know about 10 tree. If they have a virtual environment, you know, the, uh I would say that this week's been pretty interesting. Lots of customer meetings. So it's been pretty, pretty awesome, getting a lot of things back. But I would say the things that they're asking us to solve our not impossible things. They're looking for evolution's. They're looking for things in terms of better insights in their environment, maybe deeper insights. One of the things we're looking to do with the tremendous amount of data we've got coming back, Um, got almost a million machines coming back to us in terms of auto support data every single night. About 2.3 trillion data points for the last three years, eh? So we're looking to make that data that we've gotten into meaningful consumable information for them. That's actionable. So again, again, what can we see in a virtual environment, not just 10 tree things in terms of storage of those kinds of things, but maybe what patches they have installed that might be affecting a network driver, which might affect the certain configuration and being able to expose and and give them some actionable ways to go take care of those problems. >> All right, we gotta go marry. I'll give you. The last word >> stated simply if you are using virtual, is a Shinto abstract infrastructure. As a wayto accelerate your operations, I run the M where, if you have ah 100 virtual machine, 150 virtual machines, you could really benefit from maybe choosing a different way to do that. Do infrastructure. I can't say the competition doesn't work. Of course, the products work. We just want hope wanted hope that folks could see that doing it differently may produce a different outcome. And different outcomes could be good. >> All right, Mario Graham, Thanks very much for coming to the cubes. Great. Thank you so much. All right. Thank you for watching John Troy a day Volante. We'll be back with our next guest right after this short break. You're watching the cube?
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Brought to you by VM Wear and its ecosystem partners. Welcome back to San Francisco, everybody. He's the C m o and chief evangelist that 10 tree by DDN my joining the company in marketing to take this solution, we've been able to save thousands of customers And Jonah Course you remember that when back Married to the original vision of 10 Cherie. And that's really the foundation of what makes us different today. So from the very beginning we were we were built to understand the work clothes that we service And in fact, they they often some people So it's like, of course, I don't need to manage it. It's the values and what they don't have to do, so they don't have to carve up ones. We've talked about all the great stuff in I'd say that the reason why we are And you were ableto maintain obviously a large I think we transition with about 40 people in the company. So it's hard to go from there. I mean, in terms of the S L. not hearing that from you guys. database administrators the direct ability to self service their own cloning, their own, So it's the simplicity, eyes all the things that you really don't have to do across All in the flying virtualization we think of Dev Ops is being very much a cloud thing. a couple of threads together, and I think because we talked about the original vision kind of E m r centric, customers going to in the future with both on premise hybrid cloud public. So they're building their own clouds to service customers using market. the stack and provide not US access to our analytics because all that analytic stuff we do in machine learning Different churches, getting that level of abstraction, right is absolutely the key to what we do. But ah ah, developers going to see kubernetes. the control of the I T department so that they can spend less time on infrastructure. What's to go to market like? Let's say in the data protection space, we see a rubric as an example, and I think you can talk to some of that I mean, Marco Mitchem, the backup spaces, right? So question So what's the number one customer problem that when you guys hear Today in the booze is like, you know, the person who doesn't have entries, a person who doesn't know about 10 tree. All right, we gotta go marry. I can't say the competition doesn't work. Thank you so much.
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Doc D'Errico, Infinidat | CUBEConversations, August 2019
>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue Now, here's your host. Day Volonte. >> Hi, buddy. This is David Lantz. Welcome to this cube. Conversation with Dr Rico is the CMO of infinite out. It's still I still have a hard time saying that doctor or an engineer and I love having you on because we could talk storage. We could go deep and we could talk trends and marketing trends, too. But so welcome. Thanks for coming on my sled. So tell me what's new since the scale to win launch that you guys had. Tell me what you know. Is everything shipping Now What's the uptake been like with customers? And the reaction? Yeah, >> they're the reaction has been phenomenal. This, as you may recall, you were there. It was biggest launch in our history, which was fantastic. And the reaction has just been overwhelmingly positive, with customers with partners with analysts. Human scum cases with competitors is an interesting you know, we had a lot of things that were already shipping. They were an early customer release. There were a few things that we had started shipping in December on the things that we said we'd be coming in three Q. We G eight on time. So there, there now all generally available except the stuff that we talked about that would be available in 2020 which right now looks like it's on track. It's doing very, very well. >> So VM wear VM world eyes coming up later on this month, things are obviously changing. There was announcement recently that that VM wears gonna choir pivotal. So a little bit of financial engineering going on stock stock rose 77% on the day when the Dow dropped 800. So okay, the funny money. But things are changing in the V m where ecosystem you certainly saw we we This is our 10th year the M world. We go back and you hear Tod Nielsen back in the day, talk about for every dollar spent on a V M where lice and 15 was spent a Negro system, you know, we're kinda del izing vm wear now, which is sort of interesting, but I'm curious as to what you're seeing what that all means to you. I mean, still half a million 600,000 customers, you've got to be there you guys have great success at that show. So your thoughts what's going on? But VM world this year? Yeah, I >> kind of kind of loaded their first of all congratulations on the milestone. That's great. 10 years is super. Remember, probably seeing you with the 1st 1 there. Of course we knew each other longer. Uh, you know, and sure I get the incestuous, you know, money changing of hand there, I think I think it's it's good in one respect. You certainly CBM where, you know, making big inroads with VM wear on AWS. And this isn't now with Pivotal will be a good launching platform for Della's well, a svm where to be a little bit more in control of their own destiny. And it's certainly the way a lot of people are going. We're doing a lot of that ourselves. Not so much, in a sense. We don't have a cloud platform that we sell is a total encompassing platform. But of course, with new tricks cloud on big players and then certainly a large portion of our our customer base, our cloud service providers, they love our stuff. It helps them compete. It actually gives them in some respects, a competitive advantage, but VM world itself. Lots going on there. We have amplified our presence once again because VM where does represent a large portion of our customer base? So we're we're very proud of that. We're very proud to be a technology alliance partner of the M wears Andi. We're expecting to see a really good show in a really good cloud. A cloud crowd has they return back to their home base in San Francisco for us this year, it's It's gonna be a different experience. Were tellingme or of the software story, more of the portfolio story more about how you scare scale the win. We have a virtual presence this year, which is going to be very helpful in telling that story. Customers can come in and they can see more than just a ah box that in our world is really not important because it's for us. It's all about the software and stuff we do. We even in Booth Theater, we have some private meeting spaces well, to take people into a bigger, deeper drill down. But the virtual experience will allow them to touch and feel stuff that maybe they didn't get to do before, and that's gonna be kind of exciting as well. >> So you mentioned C S P s. We had Michael Gray thrive on a while back, and you know, he was saying that Look, he likes your product because it allows him to do other things. And don't worry about, you know, the old sort of tuning and managing and ableto re shift labor. I felt like that was an interesting discussion, primarily because you've got all these cloud service providers that everybody thought aws was just gonna kill. And if anything, it's elevated them. What are you seeing in the CSP space? Yeah, you know, >> Michael had a lot of interesting things to say that definitely love the fact that we enable multiple workloads without them having to do lots of cautious planning and re planning and shifting and shuffling. And we are seeing C S P is becoming more value. Add to a lot of businesses, especially the mid market and the smaller enterprise where people may want more than just infrastructure. You know, they don't they need that application level support and companies like thrive in some of our other really good customer, US signal and you know they're all capable of Flex Central's. Another one they're all capable of providing service is beyond the hardware they're capable of providing that application support the guidance and, in the case of Thrive, the cybersecurity guidance especial Really, which is really, really critical. So they're growing, and they're also, by the way, working with eight of us and Google and Azure to provide that capabilities well, when necessary. >> Well, that leads me to the sort of multi cloud discussion in our industry. We tend to have this alphabet soup of acronyms like another reason I like talking to you because we can kind of cut through that. And, you know, I love the marketing. I think marketing helps people understand what's going on differentiate. It gives you an indication of where the industry is going, and multi cloud is one of those things that I mean. I've kind of said it's a symptom of multi vendor and more so than a strategy. But increasingly it seems like it's becoming a strategy with customers, and you just gave an example of thrive working with multiple cloud vendors. Clearly, VM where wants to be in that business. What your thoughts on multi cloud and and hybrid. What does it mean for for infinite at What's your strategy there? You know, it's it's interesting because I >> just read an article the other day about you know, the definition of multi cloud on whether it's being abused and, you know, I I look at it as someone just trying to tell their story and give it. Give it some favor. I think at the end of the day, uh, every business is going to be talking to multiple platforms whether they want to or not. You know, there are many customers and companies out there, businesses who are in our customers who have gone the way of the cloud and repatriated. Certain things is they've they found that it it may work. It may not work, and there are many cloud providers who were trying to do things to accelerate migration of applications because they see that certain applications don't work. You know, we got one of the cloud providers buying Ah, now as provider, another one buying very recently, you know, an envy me based flash company to try to pick up those loose workloads where they might struggle today. But the end of the day everybody's going to be multiple. And whether it's because they're using cloud service is from from a software perspective or whether they just need to basically broker and maintain sort of that that independence so that they can maintain some cost control, availability, control, security, control and in some cases it will remain on premises. And some of things will be off just so they could get the applications closer to their end users. So you know what is multi Cloud? Multi Cloud really is just one of those terms that literally means what it says. It's your business running in multiple places. It doesn't have to necessarily be simultaneously by the same application. >> A big part of your value proposition is the simplicity. We've heard that from your customers, and you guys obviously push that out there. I want to ask you because you mentioned repatriation and you know, Cloud keeps growing like crazy. Sure, and the on prem not so much. You guys are smaller company. You're growing your stealing share, So yep. So maybe is that simplicity thing. Here's my question. So it's around automation. The cloud providers, generally an Amazon specifically have have driven automation. They've attacked the IittIe labor problem and they're able to charge for that on Dhe. So my question is, are you seeing that you're able to attack that labor problem in a similar sense and bring forth the value proposition to customers is Look, we can create a cloud like experience on Prem if you want MacLeod. Great. But if you want to stay on Prem, you're gonna get the benefit of being able to shift. Resource is two more strategic things and not have to worry about all this heavy, heavy lifting. You You seeing tangible evidence of that? >> We're seeing significant tangible evidence of that on and, you know, a couple of things. You know, you talk about growth, right? And I think when we did the launch, you know, only a few months ago we were at about 4.6 exabytes of capacity shipped. We just passed 5.1. That's some significant growth in in just a few months. It's like a 33% growth just from the same time last year, which is which is fairly significant. And of course, if you're familiar with the way we talk, you know you have an engineer is the head of marketing. We like to tell the truth. You know, we don't like to mask, do many things and confuse people. We don't like talking about effective storage because effective capacity doesn't really mean much to some people. So that's, you know, this is what we This is what we shipped and it's growing rapidly. And a lot of that is growing, in part because of the significance of the message and in part because of this need to control costs, contain costs and really operate in a more modern way. So get back to your comments about cloud and cloud operation. That's really what people want. People like the consumption model of cloud. They don't always like the cost on hidden costs. So simplifying that, but giving them the flexibility Thio have either an op X or cap ex that allows him to grow and shrink as they move workloads around. Because everybody grows even on Prem is growing. It's just, you know, it's the law of numbers, right? Cloud is growing, absolutely. But on Prem really is growing. And then the other thing I want is they want the operational flexibility. And that's what we talked about in our elastic data fabric. They don't like constantly having to re jigger and re balance workloads. Infinite box by itself. The platform of infinite Box takes away a lot of that mystery and magic, because it it kind of hides all of the complexity of that workload. And it, you know, we take the randomness out of the I o. I think maybe Craig Hibbert mentioned in his video is he was describing in detail how that happens. Remember Michael Gray talking about that as well, you know, So those those things come out in a single infinite box. But even if you said well, I still want to move my workload from, uh, you know this data center to an adjacent data center or perhaps a data center in another facility. Um, excuse me, Another city. So that's closer to the end user. Making that transparent to the applications is critically important. >> Yes, he talked about growth in about 1/2 a PETA bite. Sorry, half an exabyte in just a few months. A couple months? Really Right. That's that's growth. But I want to ask you about petabytes. Petabytes scales. Kind of key of companies that don't do that in a year day, eh? Exactly. So that's a petabytes scale. Is big party of marketing two questions? Why is that relevant? Or is that relevant to VM? Where customers? Why so and then, does it scare some people owe you? Asked a great question. >> It absolutely scared some people. And I know that there are some pundits out their industry pundits who who basically don't agree with our messaging. But this is this is the business problem that we we targeted the solve rate. Um, there are a lot of people out there who don't think they're petabytes scale yet because maybe they're individual applications aren't petabytes scale. But when you add it up, they get there and a lot of our customers are existing. Customers didn't start with infinite at at petabytes scale. They started a couple 100 terabytes, perhaps, but they're petabytes skill now. In fact, over 80% of the customers and systems that we have out there today or above the petty bite. We have customers that are in the tens of petabytes. We have customers that are in the hundreds of petabytes. They grow, they grow rapidly on. Why is that? Well, to two factors. Really. Number one, if you go back to. Probably when I first met you back when I had your hair, at least in quantity, way had way. Were kind of crusting that terabyte mark. Right? Right. And what was the problem? The problem was nobody could figure out how to deal with the performance. Nobody wanted to put that much risk on a single platform, so they couldn't deal with the availability. And they really didn't know how to deal with even the serviceability of that scale. So terabyte was a problem solved No, 25 years ago, and then things were rapidly from there. Now we're at the same juncture, just three orders of magnitude later. Right? >> Well, that's interesting, because, you know, you're right. People didn't want to put all all that capacity under an actuator that cost performance problems. They were concerned about, you know, just availability. And then two things happen so simultaneously, flash comes along. And, you know, you would say was put sort of a Band aid to some of the performance problems. Sure. And you guys came up with, like, this magic sauce to actually use spinning disc and get the same performance or better performance you would argue with flash. And so as a result, you were now able to do a lot Maur with the data, the concerns about that much date under the actuator somewhat attenuated because, I mean, you've got now so much data, you've got to do something that's almost that's flywheel effective. You've got tons of data machine intelligence and a I. Now, coming into the picture, you've got Cloud, which has been this huge tail when for the industry and for data creation in general. And so I see. You know, you see, like the I. D. C numbers and for forecasting growth of data and storage could be low. I mean, the curve could be bending, you know, kind of more than exponentially your thoughts on that. >> Yeah, it's an interesting, interesting observation. I think what it really comes down to is our storyline is math is greater than media, all right? And when you when you look at the flash being, you know, the panacea to performance it was just a step in the evolution, right? You go back and and say, spinning disc was the same solution to the performance problem 20 years ago. 25 years ago, even it was 5400 rpm discs and then very rapidly. Servers got faster. The interconnects got a little bit faster. They were still mostly differential. Scuzzy. There was 7200 rpm discs. And I promise you, by the way, that if you're running 5400 rpm desk, you install 7200 rpm. All yours performance problems will go away until the day you install it. And then it was 10,000 rpm discs and I was 15,000 rpm disc, and it still wasn't getting fast enough because, you know, you went to Fibre Channel One Gig Fibre channel and then to Geek Fibre, Channel four, Gig fibre, Channel eight, gig fibre channel. The unified connects got faster. The servers got faster. That was more cash on the servers. Then this thing came along, cuts called solid state disc. Right. And then it was it was SLC single layer cell technology. But don't worry about it's very expensive. Not a problem. You only need 4% of your application, right? Jerry? No, no, I'm sorry. percent. No, I'm sorry. 30%. What the heck? You know, M l c is now a little bit more reliable, so let's just make make it all slash. Right? So that was the end of the story, right? No. Servers continue to get faster. Uh, the media continue to get faster and denser, right? So now the interconnect isn't fast enough, So envy me. Is that the answer to life? The universe and everything? Well, wait. I got a better answer for your test. CIA storage class memory in parallel with that. By the way, there are some vendors out there who said that's still not fast enough. We want to put more d ram and the servers and do things in memory. We went in memory databases. I guarantee whatever you do from a media perspective on my personal guarantee to you, it's obsolete by the time you're up and running. By the time you get your applications migrated, configured and running with business value, it's already obsolete. Some vendors got something better coming out. The right answers. This stuff you talked about, the right answer is everything that you're doing for your business. APs. It's a it's a Mel. It's solving the problems in software and, you know, you said we use disc and make it fast. It's not despite itself, of course, right? It's D Bram. It's a lot of the Ram, which, by the way, is orders of magnitude faster than flash the NAND flash. And even if its ECM and still orders of magnitude faster than that, what we use the disk for today in the architecture is the cost factor. We take the random ization out in the flash and we take the >> end and in the in the diagram >> and we used the SAS in the back end to manage costs. But we use it in a way that it performs well, which is highly sequential, massively parallel. And we take full advantage of that Beck and Ben with to do that with that massive dear am front end. Our cash ratios are unparalleled in the industry and and we use it even more effectively that way. But if architecture already evolves, so if if SCM becomes more stable and becomes more cost effective, we can replace that that S S D layer with the cm. And if you know, if the economics of Q L C or something beyond that. Come down will replace the back end with that, do you? Do >> you ever look at what you're doing today as sort of a modern day symmetric. So I mean, a lot of things you just said. I mean, you've got a lot of memory. You've got a massive back end. You know, those were two of the characteristics of symmetric snow. Of course. Fast forward. Whatever. 30 years, right. But a lot of it was sort of intelligence and understanding. Sure. So how data works, is it Is it a fair sort of, or is it radically different? Well, in terms of mindset, I mean, I know the implementation is >> right, right? >> Yeah. I mean, it's not an unfair comparison. I mean, tiered storage was around before some metrics. Right? So it's certainly existed existed then, too. It was just at the time. It was a significant innovation course to layer at the time, right? A big cash front, ending some slower media and then taking advantage of the media on the back end. The big difference today is that if you look at what some metrics became through its Evolution's DMX and V Max and now Power Max. It's still tiered storage, you know, you still have some cash. That's that's for unending some faster media with power. Max, you're you're dealing now with us with an SS a back end. But what happened with those types of architectures is the tearing became more automated. But you're still moving information around. You're still moving Information from one said it This to another set of this leader in the cycle. You're still trying to promote things you know, to to the cash up front. We're doing it in real time. We're >> doing it by analyzing >> the data on the way it comes in. We're reassembling it again, taking the random ization out we're reassembling it and storing it across multiple disks in a way that it it increases our probability of pulling that information associated information back when we need it later. So there's there's no movement. Once its place, we don't have to replace it. You know it's already associated with other data that makes sense, and that gives us a lot of value. >> And secret sauce is the outcome of the secret sauce is you're able to very efficiently. Well, historically, you haven't been able to do a lot of garbage collection, a lot of data movement, and that just kills performance. There's >> really no garbage collection necessary in our in our world way. Also use very modern data structures or patents. Ah, lot of them on our neural cash Deal with the fact that we use a try data structure. So we're not using old fashioned hash tables and you know, l are you algorithms, You know it Sze very, very rapid traverse a ll of these trees >> and you're taking advantage of machine intelligence inside the software architecture. That really is some of the new innovation that really wasn't around to be able to take advantage of that 20 years ago. Maybe it was it was just not cost effective. Do the math was there, put it that the math of the mouth was there and >> there there There's been lots of evolutions of that over the years, a swell, but we continue to evolve and innovate. And, you know, one of the one of the cool things I think about working infinite at is is the multiple multiple generations of engineer where you've got people who understand that math they understand the real nuances of what it means to operate in a world of storage, which is quite a bit different than operating, saying networks or proceed be used because data integrity is paramount. There's lots of lots of things that go on there as well. But we also have younger generations, generations who like new challenges and like to re invent things so they find newer and greater ways to do things. >> This is exciting. So systems, thinkers and I mean server thinkers. I mean, people who understand, you know, systems designed it all the way through and and, you know, newbies who are super smart like you say, wanna learn and solve problems? Go back to the petabytes scale discussion, >> solve problems at petabytes scale, right? Even if the customer doesn't need that necessarily to solve that problem is critically important because even if you look at Les, just take, you know NFS, for example, most NFS systems deal with thousands of objects. Hundreds to thousands of objects are an F s. Implementation deals with billions, right? Do you need billions? How many applications you know that have billions of objects, But being able to do that in a way where performance doesn't degrade over time and also do it in a way where we say our nlm implementation isn't impacted by any any type of service events, we can take a note out, and it doesn't impact in ln There's no no degradation and performance. There's no impact or outage in service. All that's important. Even when you're dealing with smaller application sizes because they add up, they really do add up. He also brought up the point about, you know, density and actually intensity. Great. You know, back 25 years ago, when we were dealing with, you know, the first terabyte storage system, you know, how much how much stories did you have on your laptop? How much you have today, right? You know, you're probably more than a terabyte. They were laughing about putting things terabyte on the floor. And now you get more than a terabyte on your laptop. Things changing? >> Yeah. Um, I wanna ask you where you see the competition. We talked about all flash. We've had a long conversation, long, many conversations in the past about this, But you really, you know, the all flashy kind of described it as a Band Aid, essentially my words, but it was sort of a step function. Okay, great. Um, you have one company, really us who achieve escape velocity in that business in terms of pure But is that where you see in competition and you're seeing it from, you know, the hyper scale er's where you Yeah, you know, >> it's interesting. You know, you look at companies like, you know, we admire what they dio, especially with regard to marketing. They do a really good job of that. They also, um I have some really interesting ideas innovating the media, which is which is great. It helps us in the long run as well. Um, we just look at it as a component of our system, not these system, which makes it different. We don't really see the A f a. You know, the small scale a FAA is are the majority of our competition. We do run into them, but typically it the lower end of the opportunity. Even within the bigger companies that have competitors to those products, we run into them and smaller opportunities, not bigger opportunities where we run into them where there's a significant performance advantage as long as you don't mind the scale out approach to solving the problem. Unfortunately, when you're using a phase two skill out, you know you're putting all of the intelligence requirements on some poor storage administrator or system administrator to figure out what those where right, we take all of that away. So once it starts to scale, that's where we come in a plan. We don't see tons of competition there. Certainly, we're seeing competition from the clouds. And the competition from the clouds is more born of customer mandates and company mandates. Sometimes they I'm not quite sure that everybody knows why there who think to the cloud and we're problem they're trying to solve. But once they start to see a story that says, Hey, if the reasons are and you do understand those reasons, if the reasons are agility and financial flexibility and operational agility not as well as his acquisition agility, you know, we have answers to that and it starts to become a little bit more interesting and compelling. >> All right. One of the highlights of the M world each year is your dinner. Your customer I crashed in a couple of years ago when there were no other analysts there. And then last year again, it was in Vegas. Shows a nice steak house. This year we're in San Francisco, but But I had some great conversations with customers. I remember speaking to one customer about juxtaposing the sand thio to infinite debts platform. And you know the difference. The Sands taken off doing really well, but But he helped me understand the thinking from their standpoint of how they're applying it to solve problems and why v san wasn't a good fit. Your system was, um that was just one of many conversations last year had again other great conversations with customers. What do you do in this year? You have a customer dinner. We are? Yeah. We love to have you in and gave the invitation there. Yeah, the invitation. Is that definitely there? You know, a couple of >> years ago we didn't invite analysts, and you know what it was? It was a mistake. We and we learned that lesson into a large part. We credit you for for showing us how wrong we are. Our customers are very loyal. They're some of the most loyal in the industry. Don't take my word for it going. The gardener Pierre Insights and and look at our numbers compared to everybody else's any pick. Pick a vendor. We're at the top of the list with regard to not only the ratings but, more importantly, the customers willingness to recommend in every category, too. By the way, it's It's not just product quality and performance, and it's it's service support. It's easy doing business. It's an entirely different experience. So we love having the customers there, and the customers love having you there, too. They love having you and your appears in the industry there because they love learning from you and they love answering the questions and getting new insights. And we'd love to have you there. We're gonna be in the Mint this year. San Francisco meant not the not the current one that that's pretty coins, but the original historical site on duh. You know we have. We have invitations out thio to about 130 people because there's only so much room we have it at the event, but we're looking forward to a great time and a great meal and good conversation. >> That's great. Well, VM World is obviously one of the marquee events in our industry. It's the It's the fat middle of where the IittIe pro goes on dhe We're excited. Used to be Labor Day started the fall season. Now it's VM world. Well, Doc will see you out there. Thanks very much for your good to see you. All right. Excellent. All right. Thank you for watching everybody. This is day Volonte in the Cube will see you next time we'll see you at the M World 2019.
SUMMARY :
It's the cue It's still I still have a hard time saying that doctor or an engineer and I love having you on because And the reaction has just been overwhelmingly positive, with customers with partners But things are changing in the V m where ecosystem you certainly saw we the software story, more of the portfolio story more about how you scare scale And don't worry about, you know, the old sort of tuning and managing and ableto Michael had a lot of interesting things to say that definitely love the fact that we enable multiple And, you know, I love the marketing. just read an article the other day about you know, the definition of multi cloud on whether it's So my question is, are you seeing that you're able to attack And a lot of that is growing, in part because of the significance But I want to ask you about petabytes. We have customers that are in the tens of petabytes. Well, that's interesting, because, you know, you're right. By the time you get your applications And if you know, if the economics of Q L C or something So I mean, a lot of things you just said. you know, you still have some cash. the data on the way it comes in. And secret sauce is the outcome of the secret sauce is you're able to very efficiently. fashioned hash tables and you know, l are you algorithms, That really is some of the new innovation that really wasn't around to be able to take advantage And, you know, one of the one of the cool things I think about you know, systems designed it all the way through and and, you know, how much how much stories did you have on your laptop? is that where you see in competition and you're seeing it from, you know, the hyper scale er's where you Hey, if the reasons are and you do understand those reasons, if the reasons are agility We love to have you in and gave the invitation there. So we love having the customers there, and the customers love having you there, too. This is day Volonte in the Cube will see you next time we'll see you at the M World 2019.
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