>> From Tavern on the Green in Central Park, New York it's theCUBE. Covering Veritas Vision Solution Day, brought to you by Veritas. >> Welcome back to New York City everybody. We're here in the heart of Central Park at Tavern On the Green, a beautiful facility. I'm surrounded by Yankee fans so I'm like a fish out of water. But that's okay, it's a great time of the year. We love it, we're still in it up in Boston so we're happy. Dave Vellante here, you're watching theCUBE, the leader in live tech coverage. Nathan Hall is here, he's the field CTO at Pure Storage. Nathan, good to see you. >> Good to see you too. >> Thanks for coming on. >> Thanks. >> So you guys made some announcements today with Veritas, what's that all about? >> It's pretty exciting and Veritas, being the market leader in data protection software. Now our customers are able to take Veritas's net backup software and use it to drive the policy engine of Snapshots for our FlashArrays. They're also able to take Veritas and back up our data hub, which is our new strategy with FlashBlade to really unify all of data analytics onto a single platform. So Veritas really is the solution net back up that's able to back up all the workloads and Pure is the solution that's able to run all the workloads. >> So what if I could follow-up on that, maybe push you a little bit? A lot of these announcements that you see, we call them Barney deals, I love you, you love me, we go to market together and everything's wonderful. Are we talking about deeper integration than that or is just kind of press release? >> Absolutely deeper integration. So you'll see not just how-to guides, white papers, et cetera, but there's actual engineering-level integration that's happening here. We're available as an advanced disk target within that back up, we've integrated into CloudPoint as well. We certify all of our hardware platforms with Veritas. So this is deep, deep engineering-level integration. >> Yeah, we're excited about Pure, we followed you guys since the early days. You know we saw Scott Dietzen, what he built, very impressive modern architecture, you won't be a legacy for 20, 25 years so you've got a lot going for you. Presumably it's easier to integrate with such a modern architecture, but now at the same time you got to integrate with Veritas, it's been around for about 25 years. We heard a lot about how they're investing in API-based architectures, and microservices, and containers and the like, so what is that like in terms of integrating with a 25-year-old company? >> Well I think, from Pure's perspective we are API first, we're RESTfull APIs first. We've done a ton of integrations across multiple platforms whether it's Kubernetes, Docker, VMware, et cetera, so we have a lot of experience in terms of how to integrate with various flavors of other infrastructure. I think Veritas has done a lot of work as well in terms of maturing their API to really be this kind of cloud-first type of API, this RESTful API, that made our cross-integration much easier. >> You guys like being first, there were a number of firsts, you guys were kind of the first, or one of the first with flash for block. You were kind of the first for file. You guys have hit AI pretty hard, everybody's now doing that. You guys announced the first partnership with NVIDIA, everybody's now doing that. (laughs) You guys announced giving away NVME as part of the Stack for no upcharge, everybody's now doing that. So, you like to be first. Culturally, you've worked at some other companies, what's behind that? >> Well culturally, this is best company I've worked at in terms of culture, period, and really it all starts with the culture of the company. I think that's why we're first in so many places and it's not just first in terms of first to market. It's really about first in terms of customer feedback. If you look at the Gartner Magic Quadrant we're up, we've been at leaders quadrant for five years in a row. But this year, we're indisputably the leader. Furthest to the right on the X-axis, furthest north on the Y-axis and that's all driven by just a customer-obsessed culture. We've got a Net Promoter Score of 86.6 which is stratospheric. It's something that puts us in the top 1% of all business-to-business companies, not just tech companies. So, it's really that culture about customer obsession that drives us to be first. Both to market, in a lot of cases, but also just first in terms of customer perception of our technology. >> You guys were a first at really escape velocity, the billion dollar unicorn status, and now you're kind of having that fly-wheel effect where you're able to throw off different innovations in different areas. Can you talk more about the data hub and the relevance to what you're doing with Veritas and data protection? Let's unpack that a little bit. >> Sure, sure, the data hub, we had a great keynote this morning with Jyothi the VP of Marketing for Veritas and he had an interesting customer tidbit. He had some sort of unnamed government agency customer that actually gets penalized when they're unable to retrieve data fast enough. That's not something that many of our customers have, but they do get penalized in terms of opportunity costs. The reason why is 'cause customers just have their data siloed into all these different split-up locations and that prevents them from being able to get insight out of that data. If you look at AI luminaries like Andrew Ng or even people like Dominique Brezinski at Apple, they all agree that you have to, in order to be successful with your data strategy, you have to unify these data silos. And that's what the data hub does. For the first time we're able to unify everything from data warehousing, to data lakes, to streaming analytics, to AI and now even backup all onto a single platform with multidimensional performance. That's FlashBlade and that is our data hub, we think it's revolutionary and we're challenging the rest of the storage industry to follow suit. Let's make less silos, let's unify the data into a data hub so that our customers can get real actionable information out of their data. >> I was on a crowd chat the other day, you guys put out an open letter to the storage community, an open challenge, so that was kind of both a little controversial but also some fun. That's a very important point you're making about sort of putting data at the core. I make an observation, it's not so much true about Facebook anymore 'cause after the whole fake news thing their market value dropped. But if you look at the top five companies in terms of market value, include Facebook in there, they and Berkshire keep doing this, but let's assume for a second that Facebook's up there. Apple, Google, Facebook, Microsoft, and Amazon, top five in terms of US market value. Of course markets ebb and they flow, but it's no coincidence that those are data companies. They all have a lot of hard assets at those companies. They've got data at their core so it's interesting to hear you talk about data hub because one of the challenges that we see for traditional companies, call them incumbents, is they have data in stovepipes. For them to compete they've got to put it in the digital world, they've got to put data at their core. It's not just for start-ups and people doing Greenfield, it's for folks that are established and don't want to get disrupted. Long-winded question, how do they get, let's think of traditional company, an incumbent company, how do they get from point A to point B with the data hub? >> I think Andrew Ng has a great talked-point on this. He basically talks about your data strategy and you need to think about, as a company, how do you acquire data and then how do you unify into a single data hub? It's not just around putting it on a single platform, such as FlashBlade. A valuable byproduct of that is if you have all the stove-piped data, though you probably in terms of your data scientist trying to get access to it, now have to, they have 10 different stovepipes you've got 10 different VPs that you have to go talk to in order to get access to that data. So it really starts with stopping the bleeding and starting to have a data strategy around how do we acquire and how do we make certain or storing data in the same place and have a single unified data hub in order to maximize the value we are able to get out of that data. >> You know when I talked to, I'll throw my two cents in, I talk to a lot of chief data officers. To me, the ones that are most insightful talk about their five imperatives. First of all, is they got to understand how data contributes to monetization. Whether it's saving money or making money, it's not necessarily selling your data. I think a lot of people make that mistake, oh I'm going to monetize my data, I mean I'm going to sell my data, no, it's all about how it contributes to value. The second is, what about data sources? And then how do I get access to data sources? There's a lot implied there in terms of governance and security and who has access to that. And in the same time, how do I scale up my business so that I get the right people who can act on that data? Then how do I form relationships with a line of business so that I can maximize that monetization? Those are, I think, sensible steps that aren't trivial. They require a lot of thought and a lot of cultural change and I would imagine that's what a lot of your customers are going through right now. >> I think they are and I think as IT practitioners out there, I think that we have a duty to get closer to our business and be able to kind of educate them around these data strategies. To give them the same level of insight that you're talking about, you see in some chief data officers. But if I looked out at the, there's a recent study on the Fortune 50, the CXOs, and these aren't even CIOs, they're actually, we think as IT practitioners that the cloud is the most disruptive thing that we see, but the CEOs and the CFOs are actually five times more likely to talk about AI and data as being more disruptive to their business. But most of them have no data strategy, most of them don't know how AI works. It's up to us as IT practitioners to educate the business. To say here's what's possible, here's what we have to do in order to maximize the value out of data, so that you can get a business advantage out of this. It's incumbent on us as IT leaders. >> So Nathan, I think again, that's really insightful because let's face it, if you're moving at the speed of the CIO, which is what many companies want to do, because that's the so called, fat middle and that's where the money is. But you're behind, I mean we're moving into a new era, the cloud era, no pun intended, is here, it's solid but we're entering that data of machine intelligence and we built the foundation with the dupe even, there's a lot of data now what do we do with it? We see, and I wonder if you could comment on this, is the innovation engine of the future changing it? It use to be Moore's Law, we marched to the cadence of Moore's Law for years. Now it's data applying machine intelligence and then, of course, using the cloud for scale and attracting start-ups and innovation. That's fine because we want to program infrastructure, we don't want to deploy infrastructure. If you think about Pure, you got data for sure. You're going hard after machine intelligence. And cloud, if I understand your cloud play, you sell to cloud providers whether they're on-prem or in the public cloud but what do you think about those? That innovation sandwich that I just described and how do you guys play? >> Well, cloud is where we get over 30% of our revenue so we're actually selling to the cloud, cloud service providers, et cetera. For example, one of the biggest cloud service providers out there that I think today's announcement helps them out a lot from a policy perspective actually used FlashBlade to reduce their SLAs, to reduce their restore time from, I think, it was 30 hours down to 38 minutes. They were paying money before to their customers. What we see in our cloud strategy is one of empowering cloud providers, but also we think that cloud is increasingly, at the infrastructure layer, going to be commoditized and it's going to be about how do we enable multicloud? So how do we enable customers to get around data gravity problems? I've got this big, weighty database that I want to see if I can move it up to the cloud but that takes me forever. So how do we help customers be able to move to one cloud or even exit a cloud to another or back to on-prem? We think there's a lot of value in applying our, for example deduplication technology, et cetera, to helping customers with those data gravity problems, to making a more open world in terms of sharing data to and from the cloud. >> Great, well we looked at Pure and Veritas getting together, do some hard core engineering, going to market, solving some real problems. Thanks Nathan for hanging out, this iconic beautiful Tavern on the Green in the heart of New York City. Appreciate you coming on theCUBE. >> Thanks Dave. >> All right, keep it right there everybody, Dave Vallante. We'll be right back right after this short break. You're watching theCUBE from Veritas Solutions Day, #VeritasVision, be right back. (digital music)

>> From Tavern On The Green, in Central Park, New York, it's theCUBE. Covering Veritas Vision Solution Day. Brought to you by Veritas. >> Hello everybody welcome back to the Tavern On The Green. We're here in the heart of Central Park in New York City you're watching theCUBE the leader in live tech coverage. We go out to the events, we extract the signal from the noise, big events, small events. We're here at the Veritas Solution Days, #VtasVision. Veritas Vision used to be a very large, big tent conference. They've changed the format now and they go out, they're going out to 20 cities this year belly to belly with the customers and we've got one here. Vishal Kadakia who is the data protection manager at NBC Universal. Vishal thanks so much for coming on theCUBE. >> No problem thank you for having me. >> So as I say we love to get the customer perspectives, but let me start with this event. Why, you're a busy person, you're managing a lot of data, why do you take time out to come to event like this? What do you learn? >> You always get to learn new stuff, new products that you don't necessarily get to learn, 'cause you're always just zoned into your day-to-day work that you're doing so you don't always get to see what the new features may be or you miss it. These type of events are generally good to come see that. >> So what's the day in the life like these days for data protection manager and really I'm interested in how it's changed over the last five or six years, as you see things like, the buzzwords, digital transformation, big data, cloud, multi cloud, all the vendor buzzwords, but you actually have to live that. So how has that changed the role of data protection and data protection managers specifically? >> It's definitely a lot more complicated. Before you were just backing up om prem, you had tape, pretty much made it simple. Now you have all these different workloads, you're sending out to clouds, multi tenant as they keep calling it, the hybrid, which is another buzzword. Trying to manage the different workloads is a lot more complex than it was five years ago. You have various cloud vendors, you have various storage vendors, so managing all of that, obviously the data growth from the smaller backups to now, big data which could be terabytes, petabytes, to try to back that up has been a bit of a challenge. >> But that's a challenge for someone like you who's, you know, RPO and RTO is not getting relaxed. >> Right. >> Right. And you know people always talk about getting my weekends back so, but now you have to keep up with all of these other technologies so what is it? Is it a lot of reading, is it just going to sessions like this, having vendors come in, how do you keep up with it all? >> I think it's a big mix of both. It's going out to these events, but also having vendors come to you. Doing your own research, so it's a combination of just constantly keeping up. So, I would say it's a combination of all. >> One of the things that I would be concerned about in your roll is to have just more stove pipes. Are you able to just conceptually, not technical, deep technical anyway, I love tech, but are you to create, let's call it a abstraction layer for your data protection. Is that kind of your vision or where you're headed, so that you don't have to have 10 different formats and methodologies and processes around data protection? >> Yeah, I think that's the goal that I think every company's trying to go to, is consolidate, simplify. Whether that's vendor, whether that's hardware. I think that's really the goal of any organization now. And that's kind of where we're headed also. >> So if it's a baseball game analogy, and you're nine inning game, where are you in terms of that journey? Is it early days, kind of first inning, are you kind of warmin' up in the bullpen, are you sort of well into the game? >> I think we're well into the game. We're probably into the middle innings I would say. >> Okay. So you can see sort of that vision becoming a reality. And what are the priorities then in terms of getting to that point? Is it skill sets, is it technology, is it people? >> I would say it's technology. I would say that consolidation is probably the big word. We're all trying to consolidate while trying back up the large data sets. And I think that's where we are right now. That's where we're starting to get to, and see the plan forming, seeing where our methodologies, our strategies on how we're going to go forward. >> As you move toward the cloud, Vishal, whether or not it's even pushing data to the cloud, a lot of times you just can't. But it seems like that cloud operating model is something that's alluring to folks. Simplifying, agility, self service, are those initiatives that you guys have enacted? >> In terms of that, yeah we're I think in that phase, I think we're in our beginning to form that plan, because once you get to a cloud, you have to really have a good plan. Otherwise, your data is going to be all over the place. You're not going to know where it is, and managing that's just going to become that much harder. So I think in terms of that, we're trying to really come out with a good plan of how you migrate to the cloud. 'Cause once you get to the cloud, there's a whole different set of complexities that you have in managing it. >> Like what? Maybe tick off a few, so we can paint a picture. >> So once you get to the cloud, migrating, so you've formulated your plan how to get to, what cloud to use, what vendor you're using. How do you migrate from your on prem to the cloud is I think one of the big complexities, which I think kind of stumps a lot of people. You know you want to go to the cloud, just don't know how to get there. >> Is that just because the volume of data and you got to move data and it just takes so long? I mean to back up your iPhone takes forever and it fails left and right. >> Yeah, absolutely. >> So okay. It's the amount of data and the time it takes? >> Right, and you also have legacy applications, which may not be cloud ready and how do you deal with that? So you have that hybrid model you still want to keep some stuff om prem but you want to go the cloud. What goes to the cloud, which cloud do you go to? All of that is where I think we're really at and I don't think it's any different than any other organization, so that's kind of where. >> And how about this notion of multi cloud? I mean is that something that is real in your business? >> Yeah, I think it definitely is. I think our end users are trying to take advantage of where to go best? Some places Azure might work best. Some places AWS might work. There's also Google now that's coming up, so I think you have to kind of consider where the workload would be best to go to. >> Is Shadow sort of IT and cloud creep problematic for you and in other words, you know, lines of businesses saying, it's easy, I can swipe a credit card and I'm up and running in minutes. And then, oh I got to protect this data, it's got to be compliant. Has that been a challenge for you, do you feel like you have that under control? >> No, that has definitely been a challenge area. Different groups that have kind of tried to do their own thing and then found out, oh wait, this is way harder than we thought. Let us go back to our central team. But by then it's kind of all over the place, right so that's definitely been interesting. >> Yeah it's hard, because thinking about that you probably might have done it differently. You might have put in processes and procedures in place and now you've got to clean up the mess so to speak. But okay, so I want to get into Veritas, and you're a Veritas customer? >> I am. >> So how does Veritas help you with all these solutions? I mean a lot of the things I've just asked you, I think are part of either their road map or they're making claims that they can currently help solve some of these problems. Can they, what do you do with Veritas, and how legitimate is their ability in terms of being able to solve some of these problems? >> So we've been able to use Veritas to kind of, as a central location, management of everything. One of their tools as such is CloudPoint. So our biggest thing is if you don't have a central management tool like CloudPoint, which can manage your various cloud backups, then you're left with managing each cloud on its own. So as an operations standpoint, that's like a nightmare. So having a tool such as CloudPoint, right, and then that getting integrated back into NetBackup, which now gives us a central location for all my backups, for reporting, for audit purposes, any of that has been great. And I've been using Veritas since 3.1 so I've been a Veritas customer for a long time. I've seen the evolution of when it was 3.1, a lot of it was manually operated, a lot of scripts, where now a lot of it is automated. So that's helped a lot. We're automating VM policies, we're automating SQL backup policies, all of that has been great. >> Where are you today in terms of these. >> I'm sorry? >> Where are you at today in terms of the release? >> We're, I know they just released eight one two, we're on eight one one. >> Okay so close to current. Yeah I've seen some videos on eight one two. It looks like they've really put a lot of time and effort in to refreshing it. It looks like a microservices architecture, they're talking about containers and certainly you know, saying all the right things. From your perspective have you dug into it yet or is it still early? >> It's still early. I did deploy it on a test environment. Haven't fully played around with it but some of the cool concepts obviously are, you're going away from that Java console eventually, getting to that web based, able to access it from anywhere, the manageability, like a central tool to manage all of that. That I think they're finally gearing towards that and. >> And you guys are a VMware shop? >> We are a VMware shop. >> So when we were at VM World last August, this past year, and even the year before. Data protection was one of the hottest topics, you know, on the show floor. Were you there, I don't know if you were there. >> I was not there. >> I mean it was really a lot of buzz there, sort of a lot of new entrance in that space, and would I imagine a lot of people coming after you for your business, because that's a very large install base. So when you look at the vendor landscape, how do you look at it? Where do you position Veritas, relative to some of the other upstarts? Your thoughts on the competitive landscape, why Veritas? >> Well, my point of view has always been, if it's not broke you don't fix it. There may be other that may be doing something better, but at the end of the day if it's not drastically different, it's a lot of work to move away from one product to another. They'll always come to you and say, hey, we do this better, we do this better. But then when you compare it, to me, Veritas is that all encompassing. It doesn't only do virtual, it does physical well also. It doesn't only do big data, it does all the traditional databases as well. They're always constantly evolving and adding new workloads that it can also be compatible with. >> Yeah so, I would imagine it would be a little difficult to go to your CFO and try to justify a huge migration project given the other priorities that you have. Give me some insight there. I mean what kinds of things do you want to focus on, I mean obviously nobody wants to migrate anything, it's like moving a house. >> Yeah. >> You really don't want to do it, I mean sometimes you get a bigger house or a nicer house or a smaller house, but it's, moving is always a pain. So you'd rather put your effort in your shop somewhere else. Where are you putting that effort? What are some of the priorities that you have either personally or professionally? >> I would say in this sense I think it's I don't want to work the weekends, right. So how do we automate? How do we make operations easier for everybody, the engineering, the solution, the operations. I want to make it simple. I think Veritas allows us to do that 'cause they're an open source, they work with many vendors which makes it nice. So you can, such as VMware, it works with vRealize. All those plugins with VMware and you can eventually just automate and make it simple. >> And kind of get rid of a lot of the scripts which tend to be fragile, they take a lot of maintenance, they tend to be error prone, so if you can through a set of APIs automate programmatically move towards sort of infrastructurous code or a DevOps environment. I'm sure you guys do that internally. And what a difference it makes, from the sort of classic waterfall in terms of speed, agility, quality. I presume that you're seeing that in your shop? >> Yeah, we definitely are and something like a flex appliance would allow us to move towards that. It simplifies, gets us to where we are, but also helps us with our goals of simplifying, reducing our footprint, but still being able to be agile enough to go to cloud, to keep a hybrid model. So something like that is I think where we're seeing. >> Well Vishal, we love the customer perspective, Thank you for coming on. We like to hear the truth, Vertias, truth in Latin, of course. And really appreciate your time. >> Thank you very much. >> You're welcome. All right keep it right there everybody. We're here at Vtas Vision, #VtasVision, Veritas Vision Days in New York City, Central Park, Tavern on the Green, beautiful location. My name's Dave Vallante. We'll be right back, right after this short break. (upbeat music)

>> Announcer: Live from Las Vegas, it's theCUBE covering Veritas Vision 2017, brought to you be Veritas. (light music) >> Welcome back to the Aria Hotel and Veritas Vision 2017. This is theCUBE, the leader in live tech coverage. We go out to the events and extract the signal from the noise. My name is Dave Vellante, and I'm here with my co-host, Stewart Miniman. Rama Kolappan is here, he's the Vice, worldwide Vice President of Product Management and Global Alliances. Rama, thanks for coming on theCUBE. >> Thank you. Thanks for having me. >> You're welcome. So, 360 is a big topic of conversation. It's a fundamental, strategic evolution for Veritas. Why is 360 Data Management needed? >> So, 360 Data Management is an integrated set of products and solutions, if you will, that helps you with data protection, also with copy data management use cases. If you want to move the data and workload for some of the resiliency services as well, and if you, if a customer is also looking for any of the data visibility, which is a very important part of the 360 Data Management. So, we can offer all of it as part of one platform. So it is a very powerful integrated solution set, if you will. >> So we should think of it as a platform, not a product. Everybody talks about platforms today, the API Economy, Platforms beat Products is sort of the mantra, right? Is that the right way to think about it? >> Correct. And, also, we make sure that the different solutions, which is part of 360 Data Management Suite, works with each other, right? For example, if you actually back up your data, you should be able to use the same copy to do a DevTest. So we have a solution called Velocity that is part of our copy data management solution. It should be used, you should be able to use the backup data to do your disaster recovery if you can, right. >> So how does that resonate with customers? I mean, I get the platform perspective, certainly from a vendor view, you got to have the platform. Do the customers see it the same way? Or do they just want to buy products? >> No, so it is a suite, right? And what customers want, especially enterprise customers, they're looking for, to partner with a vendor, like, for example, us. One is for data protection, primarily, in many cases. Once you protect your data, they're looking for instead of finding the products to use, I can use the same data and how can I get value out of it? So I need to have the visibility about the data itself, so we have our InfoMap solution as part of 360 DM suite, to give you the visibility of what that data is with all the metadata information through that, and once they back up the data, they also have other things to do with respect to moving your data, moving your workload, and especially with the cloud adoption, many of them are going through the transformation. There are some pre-consolidation cloud adoption, and so on, so forth, and they need to move their data and workload, say, from on-prem to cloud, and you can also do it from cloud to cloud also, which is coming soon. So, some of those challenges are very critical, and they are looking for someone like Veritas who can offer that solution for them, which is essentially protect it, move your data, workload, be able to do copy data management on it for DevTest use cases, be able to provide visibility, and the digital compliance is a big factor, which I haven't even gone deeper into. There are lot of solutions to offer for the customers. >> Rama, take us inside how 360 Data Management fulfills the vision that was laid out a year ago. I think back to early in my career it was, like, it was the hardware, you know, you follow the Tick-tock of Intel. Today, software, we can usually talk a little bit further about the roadmap but, you know, customers are going to hold you well, "Can I use it now?" Do you have all those pieces, you know? What kind of pieces have been filled in this week, and, you know, where are the pieces where it's more aspirational than where we are today? >> I'm surprised you remembered the Tick-tock Model, which is essentially go through the process and architecture change, alternating with Intel, right? That's the model, I was there for like nine years or so. >> Marching to the cadence of Moore's law, that's what we used to do as an industry. >> Exactly. So, for 360 Data Management, we announced it last year at Vision and at that point, we are putting in the solutions and the use cases together. And what we did, we worked really hard the past one year to make sure that we put these solutions together. One, they should work with each other. Two, we have a tighter integration. And three, we should be also adding more solutions together and we made it also easier for a customer to buy, it's one SKU, right? So, you don't need to have multiple SKUs to do 10 different things. It's much easier to buy. It'll do all the things that an enterprise customer want with all the stuff that I talked about earlier, and from there on, they should be also, we should be able to also cater to some of the newer problems that customers have, which is, essentially, we launched CloudPoint, for example, which does a snapshot management, and we're adding more capabilities to it, and going forward, you will see that the 360 Data Management will evolve to cater to the customer needs. We always place customer in the forefront and make sure that their needs are met first, and that's the stuff that will design the solution, based on their needs. >> We spoke to Mike Palmer this morning and one of the things he said that kind of matured a little bit is, "That interaction with the cloud, when you get down into it, it's nice to talk about public clouds and people use many clouds but they're all a little bit different." So, maybe take us inside, there's a couple announcements you made, maybe give us a little bit of color on that and, you know, come on, tell us how is it working with all these big players? >> So, I run the technology alliances team here as well, so my team works with the various cloud vendors, which is essentially Azure through IBM to Google, AWS, and so on, so forth, right? So we are already working with AWS on multiple product integration, deeper integration. With Azure we are making sure that from some of the roadmap, like when recently we launched EnterpriseWorld, to make sure that it supports Azure, and then also we launched the VIP release that happened very recently. Support for Azure, as well. And we make sure that the other products that I talked about have the cloud as a significant piece of it, part of the roadmap. We have other vendors that are, we have partners that we are working with like IBM, Google, et cetera. They have their own strengths and we are initially going to go, we already sell on a backup as part of our, with IBM. We've been doing that business with them for more than 10 years, right? So there's a lot of moving parts in the sense that they are coming up with a lot of innovation. We are coming up with a lot of innovation and we make sure that we deliver what the customers want with those cloud vendors. And a very simple example is that if you want to do a data and workload migration on-prem to cloud, we can help with that very critical use case for anyone who's going through, looking at cloud transformation and journey to cloud. And, likewise, basic use cases also like backup to cloud, backup in cloud, disaster recovery, migration, DevTest, and these use cases is what we target, and it is part of the 360 Data Management suite itself. >> Can I ask you, it's kind of a wonky question, but it's something I'm curious about, and we talked to Mike Palmer a little bit about it, the challenge of integrating to various cloud services, in the non-trivial nature that, his answer was actually quite interesting. He said, "Listen, it was a lot harder "when we had a gazillion OS's, a lot easier now." But I want to understand that better. So, when you look at, and I am going to pick AWS only because I know it a little bit better and their services, but when you look at the myriad of data, sort of services that they have, are you just targeting the data stores? Like, an S3 or an EBS or a Glacier, or do you have to also think about integrating with other data types, DynamoDB, Kinesis, RedShift, Aurora, et cetera, et cetera. How far do you have to go, and what are the complexities of doing that? >> It's a very interesting time, right. There are various cloud service providers who are there, and each of them have their own services and their own storage, right? So, there's no one standard. S3 has been a standard for last one or two years or so. What we are doing is that we're looking at the portfolio, and we look at the use cases for what we are trying to solve for the customers in the cloud and based on that, we actually have some basic use cases which you don't need a full integration. You need some integration with some of those services, which is where we have people that are doing a lot of closer integration with AWS, and other service providers as well. Going forward, we will be using some of those, you mentioned about many DynamoDB, and other services that they have, machine learning services that they have. >> Stu: Sure. >> And different cloud providers have their own strengths and where they, what they offer. So, we will be looking to integrate with our existing portfolio with some of those services so that it is beneficial for customer. For example, if a customer wants to use only AWS, we are tightly integrated so that they get the best experience in AWS, same thing with Azure, same thing with Google cloud, same thing with IBM cloud, same thing with Oracle public cloud. So, that's our direction. First things first, get all of these basic use cases catered to for the customer. Going forward, have a tighter integration with their services. >> And your value in that chain is visibility and management. It's not so much optimization of that service, is it? >> So, I wouldn't call it as optimization of services. We focus a lot on the data visibility. I think in the keynote, and in my keynote, you might have heard also, is that some of the things that customers, we talk with customers a lot and we find that many of the, many times, they don't know what they have it. Everyone knows that it's called dark data, right. We provide the visibility so that they know what data they have before they do any migration. They know what needs to be migrated. And, as you all know, there are different storage tiers in cloud, like your S3, S3IA. You have your Glacier and it is expensive to bring data back from, say, Glacier to any other storage tier all on-prem. So, you need to have the visibility before you send the data out, right? So, we helped with that as well. So, visibility plays a very critical role in so many areas, not even just cloud but also on-prem as well. >> Rama, 360 Data Management's vision was laid out a year ago. A lot of the pieces are in place now. How are you tracking success, you know? Can you give us how many customers you're doing or just kind of growth, adoption, and how should we be looking forward to kind of measure and say how good this is doing? >> So, we actually launched 360 Data Management not too long ago. In the sense we put the package together, program together, and, as part of it, we saw extremely a lot of good traction not just from one geo, we actually saw a lot of traction in Asia Pacific, in MER, in Americas as well. A lot of the customers are looking for, I mean, there are three tiers to it, as well. We have bronze, gold, silver, right? And we see equal traction across the board. And, right now, I can't give you the numbers numbers, but, having said that, we see a lot of traction from customers on adoption and we have a huge pipeline where customers are very interested. These are backup customers who are looking to do many other things like resiliency services, like copy data management, and so on, so forth. So, the 360 Data Management really solves the problem, what they're looking for. >> Yeah. Can you give us a little color to that packaging and pricing? It's a subscription model to my understanding. >> It is a subscription model but-- >> Which is a little different than if you have a traditional and, you know, what are you seeing, what's the feedback been from customers? >> So, it is a subscription model when we went to market. We are going to be offering as a perpetual as well. So there is a gold, silver bronze tier, I had mentioned it. We have a Backup, InfoMap, and also EBFile as part of the bronze. And then you have, we have P as part of the silver plus bronze together and then in the gold, we have Access, also, as part of the solution. So, they can pick what they want and from our... Going forward, we do hear feedback from customers that they want perpetual as well. So, we already, we heard them. We'll make it happen. >> How about the small, midsize business, what are you, what are you doing for them? And can you talk about that a little bit? >> I'm glad you asked that because a lot of the 360 Data Management is centered around net backup, right? And with net backup, adark, all the good releases. There are also a lot of SMB and mid-market customers, and we have a solution called BackupExec, and I'm sure most of you are aware of BackupExec, it's been there for many years. So, BackupExec solves their problem and within BackupExec, we make sure that there are a lot of SMB customers who have like three or four backup products. And we want to make sure that there's one product that can protect the physical, virtual, and cloud environments. So, BackupExec does that. >> Last question. So, the ecosystem, it's evolving. You guys have great ambitions. Microsoft was here, had a big, big presence. Maybe just general thoughts on the ecosystem and, specifically, your relationship with Microsoft and other cloud suppliers. >> So, we work very closely from a strategic level with the CSPs. We call them the Cloud Service Providers. With Microsoft, we are doing a lot of, not just product integration for Azure, we'll also be supporting many things for AzureStack going forward. We're working with them on that. Also, I mentioned about BackupExec, we're also going to market. We are spending a significant amount of money to define the goal, to go to market with them, with their partners, and so on, so forth. Not just for BackupExec but across for all other products. That said, we also have other partners from the Cloud Service Provider point of view. There is a lot of effort happening from product integration, defining goal market, and as we define that, we're also engaging with their channel partners, who are also our channel partners, to help with the goal market. >> Cool, alright. Well, listen, thanks very much for coming on theCUBE, Rama. Really great to meet you and great to talk to you. >> Thank you, thank you for having me. >> You're welcome, alright. Keep it right there, buddy. We'll be back with our next guest. This is theCUBE. We're live from Veritas Vision 2017. Be right back. (light music)

(upbeat electronic music) >> Announcer: Live from Las Vegas, it's the CUBE. Covering Veritas Vision 2017. Brought to you by Veritas. >> Welcome back to the Aria in Las Vegas everybody. This is the CUBE, the leader is live tech coverage. And we're here covering Veritas Vision, #VtasVision. I'm Dave Vellante with Stu Miniman. Bill Coleman is here. He's the CEO of Veritas. Bill, thanks for coming on the CUBE, good to see you. >> My pleasure, thank you for hosting us. >> Well, you're very welcome. And so, hot off the keynote, how do you feel, how's the show going for you so far? >> Well, I'll tell you what. I feel verit-awesome! >> (laughs) Verit-awesome is the watchword here. Get the crowd talk of Verit-awesome. I love that you started out with a little retrospective from last year. You used the term digital twin. We love that term, and you said it's sort of grown up now. I like to think the digital twins are sort of in their adolescent or even teenage years. The data is sort of out of control. We're not hearing today a message of legacy backup. We're hearing a vision of the future. Talk about that and what that vision looks like. >> Our customers obviously need data protection. They need resiliency. They need everything they've needed in the past. But that's not what they're interested in. That's assumed, that has to work. What they're interested in is the power of information. We like to say that our mission is to harness the power of information. And it's what's called digital transformation. Being able to use all that data out on the internet with all of their data, to change how they do business. To change what their products are. To change their supply chain. It's all about machine learning, predictive analytics, and the power of information. >> So I started in this business the same year that Veritas was born. And so I saw the ascendancy of Veritas and the many different forms that the company had taken. But I used to use Veritas as an example. You want to be like Veritas, with no hardware agenda. You want to be the glue that brings things together. And I saw in the conversation today a little bit of BEA-like thinking. The binder, if you will. Binding clouds together. My term, you guys didn't use that term, but to us, that's a critical value-add, and it's all around the data. You guys talked about digital business. To us, digital business means data, and it seems like we sort of share that common belief. >> Absolutely. You know, we've called this the information age for 50 years? But it's not been about information, it's been about technology. We finally have the ability to address that information, and do it over the internet, everywhere and everything. That's really what our vision is. You know, at BEA, we saw the internet emerging. And the world had to distribute, and take advantage of all that power across the whole world. And we invented that. But the key was, when I came up with the first concept of BEA in '93, I said, "You know, by the year 2000, "the network is going to be the computer." The network needs an operating system to make it all work. Well the concept here, and the reason that I actually took this job, is looking ahead ten years. Everything's going to be about information. No organization's going to be able to exist without leveraging the power of that information. Because that's the only way they'll bring their customer the value they need. That's the only way they compete, and without it, their business is just going to go down. >> Yeah, Bill, how are customers going to leverage data? You mentioned it's about the information, it's not about the technology. But you know, I look at customers. They've had storage people, they have network people. You know, "Oh, I'm excited about containers." We spent the last 15 years focused on virtualization. Is it Chief Data Officer? Or is it some other structure that customers, how are some of the leading customers that are going to be able to adopt this, how are they changing to be able to leverage that data and information? >> Well first, you have to understand, the technology has been complex, hard to use, hard to manage. As we saw earlier in the keynotes, it's like building a Rube Goldberg device. They had 27 different software products, and 14 different hardware products to sort of work together. Well, that's all disappearing. With cloud and the internet, it's becoming like a utility. You just subscribe to it. So that goes away. Now what you have to do, what we have to do, is we have to give them the tools that they can easily, visually look at that data, determine what's in that data, be maneuvering it, move it around, like in the movie, uh-- >> Stu: Minority Report? >> Minority Report. And literally, the things we talked about today, the demos we showed can lead to that. With machine learning predictive analytics, our biggest customers are already investing billions of dollars to do that. 'Cause they know if they don't jump ahead, their competition's going to do it. It's the power of information. >> So one of the things I might take away today was not only is Veritas hardware agnostic, but in many respects, you're workload agnostic. In other words, what I mean by that is, a lot of the events that Stu and I and the CUBE goes to, the enterprise companies are talking about on prem and that's where their business is, and much of your business, of course, is on prem. But we heard a message today of, "We really don't care where it lives. "We want to be the innovator "to help you get value out of your data "no matter where it lives." Now a lot of people will say that, but you really don't care where it lives. Is that true? >> And we can't. Look at, data's not just in an enterprise's data centers anymore. They're using clouds. We've surveyed our customers. Our average enterprise customer is using three public clouds already. And they have dozens of SASS applications like Salesforce, Workday, ServiceNow. Their data's in there too. That's really complex. What we've done is we've take and build the products that run in the cloud, across the cloud, to and from the cloud all by one policy orchestration. So you don't have to think about any of that. You can discover the data, categorize the data, manage the data and analyze the data all from one interface, end to end. >> So the obvious hard question follow-up is that what give you confidence that the cloud guys, once they get that workload, aren't going to just sort of usurp that agenda? What do you have to do to maintain that customer delight? >> Well, the first thing is the cloud, the public cloud providers, are our very close partners. You know, the first month we started this, Bill Voss, who heads storage for AWS, and I worked with him and Sun, came down to us and said, "Look, our customers need backup." You know, snapshots are great, but if somebody deletes a snapshot, it's gone. Your data's gone. How are you going to protect that? How are you going to analyze that data? When we want to partner with you? So we partnered with them. But the other thing he said was, "And if we do it exclusively, "the enterprises aren't going to use us." I had the CIO of one of the top five banks in the world tell me right after I started this, "We've got to be using three clouds simultaneously. "We never want to be stuck in the cloud." So the cloud service providers know that the enterprise customers want and demand that portability. And we become their, we're the premier partner for Amazon, for Microsoft, for Google, and for IBM. >> So, it's relationships. >> Right. >> But it's also innovation. >> Absolutely. >> So talk about where you are with R & D. You're purchased by a private equity company. You might have heard the narrative beforehand. A lot of the old private equity model is to suck all the cash out. Kind of the new private equity model is to invest, grow the valuation of the company. I think that's where I see you guys going. But talk about how you're able to innovate. Talk about the R & D mojo that you guys have. >> You had several questions there. >> Yeah (laughs). >> But let me start with that, with the last one. When we carved this company out 19 months ago, it became apparent that we weren't a real player in the cloud. We weren't in some of the more modern workloads. And we had to change rapidly. So, we created a strategy that led to this whole 360 data management integrated platform, software-defined storage. Integrating it with a restful API interface. And then in one year, we built seven new products from scratch that operate in the cloud, on prem, or across cloud. Automated that entire thing. We literally took the startup mentality. Now I've been a startup guy most of my life. I spent the last five and a half years before this funding early-stage startups, and the thing is being agile, and moving fast. We can move faster than anyone around now. We're a big company. Let's take Cloudpoint. We just introduced our Cloud Snapshot. That was a thought in somebody's eye in February. We defined what we needed to do, working with our customers. We put together the team. We built a micro-service end to end archistructure, and we shipped it, supporting the major, all the major cloud snapshot capability in five months, end to end. Totally new product. Now that is a startup mentality. >> Yeah, Bill, can you explain to us a little bit some of the internal plumbing of how you've managed that. On the one hand, Veritas, trusted company, strong engineering culture, product like NetBackup, you know. 15 years, leader in it's space, versus brand new stuff, whole new spaces. What staying the same, what's changing? How do you manage some of those transitions? Because you know, typical company, it's like, "We've got 7500 employees." It's like, "Well, I've got revenue streams "and product lines that I know how to do "and can keep chugging, but I've got the new stuff too." So how do you manage that internally? >> I've have a very simple philosophy of what it takes to lead a major company. You got to have a direction to go in, you have to draw higher-grade people, and you have to organize around the first two. But the key is where are you going? Where's the puck going to be in five to 10 years? And I call that the three V's. WHat's the vision of where the market's going to be? And number two, what's the value that brings to customer? The value that will justify their switching costs. And the third is, what are the values that you build your company on, that customers and partners will be able to trust and count on. So, when you start with that, we created the vision. It has to be a compelling and urgent vision. Ten years from now, all of our products are going to be obsolete. They're going to mostly be obsolete in five years. All of our traditional products. It's all going to be a microservice. Change on the fly, customers never have to upgrade kind of environment, right? There's an urgency there. And customers want to transform. There's an urgency there. The key is, based on your values, you have to develop a culture that embodies the norms to execute your strategy. And then you keep those things and balances. The cultural change has been the most profound and the most important thing we've done in this company. And this company now has a startup, win-in-the-marketplace, customer-first culture. >> So you laid out the vision. In terms of the value to customers you said, when you talk to your CIO customers and other customers, three things came out. Cut costs, deal with governance and compliance, and then help us with the digital transformation. Help us become a digital business, essentially. >> Yeah. >> So those two are pretty clear. Talk about the values that you espouse. What are they? >> So, when you start with values have to be built around what you're providing to a customer. And there's sort of three aspects of that. I'm going to give them the best possible products. I'm going to give them the lowers possible price, or I'm going to give them the best possible service that they can count on. I'm asking our customers to bet their future. So it has to be the third. So it starts with, we produce customer value, right? Then the next aspect of it is, they have to believe that what you're doing is going to be there for them, that it's going to really work. So our next one is, we're going to do that by inventing the future, to bring them the customer value. We're not going to look back and try to add features and functions where we are. We need to help them jump ahead to where they need to be. The third part of that, the pyramid there is customers are going to rely on you. So trust, accountability, ethics, integrity. Those three things come together. Then, we're all about employees, right? So, how do you empower employees to succeed, grow, and be accountable. And you put these values together, and the values will never change. The culture will evolve as strategy moves, and keeping in balance means you're going to have to reorganize on a continual basis around where you are in your strategy. I told this company, we're going to be reorganizing continuously, at least once a year. We're about to do a pretty fundamental reorganization in parts of our company. And this is second time in six months. But you have, you know, you have to be an agile organization. >> Bill, the venture community thinks that this is a hot space. There's a whole number of startups, highly focused. Obviously they're smaller than you, don't have the breadth of products. How do you look at the marketplace? What do you say about that aspect? >> Well, as I said, I spent five and a half years in early-stage venture. >> Yeah. >> We had the highest return fund for our first fund of multiple of any venture capital company. I really love that world. Venture capital is the the center of invention, the center of innovation in this country, in the world. You know, back in the 40s, 50s and 60s, you used to have these big corporate labs. You know, Bell Labs, Sarnoff Labs, et cetera. They don't exist anymore. It's all done by these. So they're inventing the future. Now the difference between the pre-dot-com era and after is, the vast majority of startups are, well, the the vast majority have failed. >> Will fail. (laughs) The vast majority of what's left are acquired, and a few go public, right? So to me, number one, they are the laboratory. They are in the areas that we that are merging, and that we don't necessarily have a core competence, we want to look on how to do that. In BEA, in six years, I did 24 acquisitions to build the company. I never acquired anything that came to us. It was all, here's part of our strategy, we need this competency, we need this time to market. How do we make it work, right? Matter of fact, there was a joke. BEA stood for Built Entirely on Acquisitions. (hosts laugh) >> Well, people used to, Larry Elison himself used to denegrate people for writing checks, not code. And then, of course, he changed the software business with (laughs) some big checks. Well, I wonder if you could talk a little bit more about the team. So when you took over here at Veritas, you mentioned off camera, you started with the team. How did you go about that? Maybe describe, add some color to the team. >> You know, like I said, one of the three pillars of my management is hire great people. And if you're going to transform a company, if you're going to do a turnaround, it has to start with the leadership team. Period, you can't start anywhere else. But you have to have a leadership team that shares the vision, shares the drive, knows how to work hard together. And when they walk in that room, there's not one thought about my organization or my career, or my compensation. Because they all know, if we make this work, all the rest can take care of itself. Now, when you're doing these sort of things, there are certain times in certain organizations, that people's skills are optimal. You know, the group that was managing this as part of Semantec, they weren't necessarily the best people to manage it as a change in culture, change in strategy. So I had to go out, and I brought in a couple of folks that I've worked with before. We brought in some real amazing people. Mike Palmer is just unbelievable at all dimensions of product development. Scott Genereux, he knows sales back, forward. He knows every customer out there by name, and he knows how to really motivate a sales force. Well, every member of my leadership team except Todd Hauschildt, the CIO, has come in with the same vision, the same, and of course that works down the organization as you're building. And that's how you change the culture. With that, here's the vision of where we're going. Here's the values, what we are going to do. This is how we're going to lead it. >> So major objectives. Obviously you want to keep moving fast. >> I presume you're going to, >> Yeah. >> You're reorganizing frequently to support that. But what are the main objectives that we should be looking for as outside observers over the next six, nine, 12, 18 months? We are changing the agenda of the information management industry. The first place is, for digital transformation, corporations have to switch. They have to get off what they're doing today ultimately and go to something new. And in an enterprise, that can only be one platform. You can't have two platforms deleting, moving data asynchronously. So, its going to be a major transformation. Now that has to be a platform. We've put the stake in the ground. We have that platform. Now, this is our battle to lose, because the incumbents in a transformation get to win if they're good enough. You know, in the disruption, only a startup can win. That's how I won at BEA, how we won at Sun. But this isn't disruption. Nobody's going to throw away all their data centers and jump into somebody before who said, "Oh, I've managed 100 terabytes. "Give me your 50 pedabytes." (Dave laughs) You know? And no customer is going to trust them. So this is our battle to win. We're changing the entire agenda with 360 data management. What we, our number one challenge is, we have to change the positioning in our own customers' minds, because they know us as the 30 years of that legacy, backup, recovery and archiving company. And it's really working. But that's number one. That's my number one objective. 'Cause the rest will take care of itself. >> And as a private company, do you feel like you're in a more advantageous position to do that, and why? >> Well, I don't think I could do this as other than a private company. Because it changes the economics dramatically. Also, at the same time, we're switching from mostly licensed revenue, to mostly rateable avenues, we move to subscription. In a public company, that's a, "Oh, our revenue's going to go down for awhile, "and so is our profits, but trust me." >> Hang with us. (laughs) >> Yeah, hang with us. There are companies like adobe that did that flawlessly, but it's not an easy thing to do. >> Yeah, it's not easy. >> And I'll tell you, I have the best partner in the world. When I, when we started this whole carveout, and I figured out, "Whoa, we don't have the right products. "We got to build this whole thing." I went to Carlisle with the strategy and the vision of what we needed to do. And I said, "Look, because pricing pressure is so high, "We're not going to be able to grow based on your plan." How you invested. "But if you want me to do that, "I can do it, and you need to invest this much more. "But I recommend that we invest as fast as we can "to get to digital transformation." They chose the third. They chose to, we're spending 99 million more dollars in R & D and go-to-market this year than was in the original plan. I wouldn't be able to do that in the public markets. >> Yeah. >> You know? But they are the perfect partner. They build for growth. They stay in two to four years after an IPO. Their return is based on multiples of growth, and that's what, so our goals are totally aligned, and aligned with what the customers are going to need. >> Bill, great story, I know you're super busy. A lot of customers to meet. So thanks very much for taking time out and joining us on the CUBE. >> Bill: This has been a pleasure. Thank you, >> You're welcome. >> Bill: you got me all stimulated. >> All right, good deal. All right, keep it right there everybody. Stu and I will be back with our next guest. This is the CUBE. We're live from Veritas Vision 2017. We'll be right back. (electronic rhythmic music)