>> Live, from Las Vegas. It's theCUBE! Covering VMworld 2018. Brought to you by VMware. And, it's ecosystem partners. >> Welcome back to theCUBE's coverage of VMworld 2018 in Las Vegas. Third day, some of us, our voices are a little bit rough. But, we've still got a lot of stuff to do, and summit people are still looking quite good. I'm Stu Miniman, my co-host, Justin Warren. Now talking about our current guest who, you know, came in looking great, good energy, Jyothi Swaroop, welcome back to the program. You're the vice president of Global Marketing with Veritas. >> Thanks Stu, thanks for those kind words. I mean, I'm just joining the party here, in terms of good-looking guys. So it's, it's not unique to me at all. >> Yeah, you know, didn't have as much, you know, time to spend on our hair this morning. >> (laughs) Hey I wake up this way. >> That's odd, alright. >> So do I. (everybody laughs) >> Alright, so Jyothi, first of all, VMworld, you know this ecosystem. There's a good energy at the show, what's been your impression so far? >> Look, I mean, haven't been on the other side, right? I've actually having worked for Dell EMC in the past, and, you know, being part of organizing an event like this It's great to see the VMworld, the diaspora expanding with every year, and how they've reinvented themselves. In every three to four years people were like, "Oh, VMworld's going away, VMworld is not relevant anymore." But it's been amazing to see the evolution of VMware, and how they've reinvented themselves, what they're doing with AWS et cetera. And at Veritas, we're trying to map to that strategy we're going where the buck's going right? So, we're literally map into everything VMworld's doing with their customers, which tends to be a lot of our customers. There's a significant overlap between Veritas' customers and VMware install base. >> Yeah, I absolutely, I mean, we talk about things like software to find these days, and especially like in the storage world, I mean, Veritas were like, was the original in that space. When you, oh how do I get software out of hardware? It's like Veritas was the no-hardware-agenda company. So at this show, the last few years, you know, data, you know, data protection, multi-cloud, and how that impacts data, have been, big themes. Tell us how that ties in to what you're hearing from customers, and what you do at Veritas. >> Yeah, absolutely. So, you know, the two words that come out are data management, right? So, increasingly yes, we are in a multi-cloud world. Everybody will tell you that there are at least, four to four and a half clouds on average, that most of our enterprise customers use. And when I say that, it doesn't mean public clouds only, obviously right? There are SAS portals that people access, there are actual Infrastructure as a Service public clouds that people access. So, it's a combination of those. At Veritas, what we want to do is we want to focus on the one of the most important elements of managing data, which is protected. Right? Look, recently, you know, there have been news about you know, large transportation companies, I won't say which type, but, transportation companies, you know, being grounded. Because their clouds were not up. Or, you know, data wasn't protected enough. Not because the planes or the trains weren't working well, they were working fantastically well. It's just because their systems were not up, they weren't protected, they weren't backed-up. They just trusted their cloud vendors, or, whoever else to manage it for them. Doesn't work that way, right? You are responsible, if you actually read through some of the contracts that are out there from multi-cloud vendors or cloud vendors, it will clearly say, "You, Mr. Customer are responsible for your own data protection." So that's where Veritas comes in. So, we help customers protect their data where it's at. Whether it's in a public cloud environment, whether it's virtualized through VMware, or with some physical servers, right? And we've been doing this for 30 years. >> Yeah. And I've used NetBackup for many many years, I have a long heritage and even before that, Veritas was pretty much the standard for the way that we did all kinds of storage and data management, as to your point there. So, give us a bit, some examples of, of what customers are doing with Veritas in this new year of cloud, and data could be anywhere. >> Absolutely. So I think the first step to all of this, is visibility. A lot of people don't talk about data visibility enough. Why don't they talk about it enough? Is because most of the management and visibility tools that companies have these days or vendors have, are limited to their own infrastructures. So they're basically IT ops tools, right? To help manage their particular software-defined infrastructure, or a hardware box, et cetera. They're not really trying to be Switzerland for everybody. At Veritas we have this unique honor almost of being the Switzerland. Everybody wants to work with us, has worked with us for the last 30 years. We don't really come out there and say, "We're competing against every infrastructure company out there.", no. We're very good at data protection, we've extended our leadership from data protection to software-defined storage, as two talked about earlier on, we launched our portfolio three years ago, and Gartner has published the fact that we're number one in software-defined storage market share, already, in three years. Because, it's in our DNA. We build the first software-defined product, and we used that, back in the Veritas Oracle Sun Microsystem days, VOS, as it was called. And we've used that DNA to build this out and extend our data-protection into storage. And that's why I said it's visibility, protection, and then storage. And that storage could be anywhere. >> Yeah, Jyothi, one of the challenges that we have in the industry is you say, NetBackup has, you know, a long history, decades out there. People be like, "Oh well, you know, I was using it for a while but then something changed, then you know, I haven't looked at it in five years, ten years." So tell us why, you know, the NetBackup of the day isn't you know, our father's NetBackup. >> Oh great question, I love that question, right? So, it's not your father's net back up, clearly. Look, NetBackups has been great for your what we call traditional workloads, for the last, what, 25 years. Oracle, you know, SQL, we've done phenomenal with that. But the world has moved on. The world's move to NoSQL. The world's moved to Hadoop. The world's moved to a lot of unstructured data-related infrastructure. >> We're talking about RDS at this show, so... >> Exactly. You know, and NetBackup has had to evolve as well. Look, I'm an engineer. I know how difficult it is to take a product that's 20, 25 years old. And to kind of make it relevant to today's workloads. And we did take our time. So until our last week's launch of NetBackup, the latest version, you know, we didn't go out there and market ourselves as the modern workloads' data protector. We did market ourselves as, "Hey listen, your mission critical workloads that still run on Oracle et cetera, yes then backup is the product for you. But we do have other data management technologies that will support you." But today, I'm very happy to announce that we've not only, kind of, we protect most modern workloads, but we've simplified the UX as well. So, I'll make a comment on the market. Before I get into NetBackup again. So, if you notice there's a lot of money being raised in the data protection space. A lot of new vendors that have come out there right? And what's the message they use? The messages of, that of simplicity. Because they can't come out to gate and say, "We're the most reliable, scalable, product that's being used by the, by 86% of the Fortune 500." They can't say that throughout the gates. So what do they use, they say, "We're simpler to use. We're not about job security, we're going to cater to you Mr. Customer, three clicks to Nirvana.", right? That's literally what the message is. So what we try to do with NetBackup is, look, we are the king of scale. We're the king of reliability. We know that. So we've completely modernized, Killian was here at theCUBE yesterday and she's the Head of User Experience. So we created an entire team for user experience alone, and we've simplified all of the operations on NetBackup. So if you're a VMware admin or a backup admin, or a storage admin, it doesn't really matter. Looks, feels the same, and you get three clicks to value. Right, even if you don't reach Nirvana, you get three clicks to value. With everything you do. So we've really simplified the operations, we continue to be the king of scale, we continue to be deployed at multi-terabyte scale, and that innovation's going to roll on. >> That's a really encouraging thing to hear, because, I mean, all of the new vendors as, a good point that you make there is it, they can't reduplicate that idea. We have 10 years of history, or 25 years of history. So, we've been doing this for a long time. And that means that you can trust us with your data. If anything, that you need from a data-protection vendor is, the ability to trust them, that when I go to try to recover my data, it'll be there and it will work. You've fixed that. You've been doing that for such a long time. So now you're just, updating the software to be able to make it easy to use, doing some of the new things, well of course anyone needs to be able to adapt and do some of the new things. So the fact that you're adding some of these features, so maybe you could give us a bit of a flavor of some of the changes that people would notice in, from, if you've experienced that backup before, what does it actually look like now? >> So, for those NetBackup admins that have been using NetBackup for decades now, right? They will, cannot be used to the Windows interfaces where it's a file structure and things have to be dragged and dropped and things like that. But if they go to the new interface now, it's available for download of our website, it's literally just all tiles and buttons and clicks. The new user experience that you expect from an iPhone, that's exactly what we put into NetBackup 812. Now the other thing I want to talk about is, we spoke to about, I think I've personally spoken about 15 customers at this show. Day one and day two. They said, "While the simplification is great Jyothi, we're actually looking ahead already. We're looking ahead to machine learning and AI where, I want your software, tell me when jobs are going to fail." I don't want an alert when the job has fail, and then I have to do something about it. Yeah, it's cool that I can pull my phone up or my iPad up and take actions right away, and make sure data is protected. But I really would love for, you know, your software to predict when something's going to fail. Help me, warn me to take action in advance. If not, take action yourself, for the simple job failures that you can take action on, based on policy driven actions, right? So that's essentially what our customers are asking for and that's what we've been incorporated into 812. >> Yeah, Jyothi, great stuff. What I want to step up level for a second here, and what you're hearing from customers about kind of the challenges and opportunities with data, and maybe start with, we spent the last year, or year and a half, hearing a lot about the impending GDPR, it doesn't feel like it ended up being like the Y2K, you know, scramble at the last minute, couple of lawsuits against like Google and Facebook. But other than that, I haven't heard nearly as much since we passed, you know, that deadline earlier this year. Start there as the update and tell me what else is facing customers into kind of their challenges. >> Sure. Look, if I have to use a loose analogy here, I considered GDPR as, filing your taxes. Most people wait 'til the last day, right, and they get extensions, if things are not right, et cetera. But having said that, filing taxes is one of the most important things you do, right? So, as a corporation this is very similar. Most corporations, you know, want to wait to see if there are others that will take missed steps, and they can learn from that. There's nothing wrong with that. But a lot of the Fortune 500 customers that we deal with, take GDPR extremely seriously. Yes, you mentioned a couple of companies that have been fined, or are being investigated, et cetera. Nobody wants to be in that book, right? You know, a large company can take a little, a fine of some magnitude, but a smaller to medium business company, that could be you know-- >> That could end the business. >> That could end the business for them. And they don't want that. So a lot of these customers are taking GDPR seriously, but what is different to what we expected, not just as Veritas but as an industry is they're taking a consultative approach to this GDPR. It's not a product-based approach. There's no magic bullet, like, I buy three products and stitch them together and I'm GDPR compliant. They're taking a very consultative approach looking at their data, especially companies that have existed for many years, it's really hard for them to go back. The data sitting on some archaic systems, they really don't know, you know, how do I delete? I mean, if Stu was a European citizen for example, and he said, "Hey listen, X, Y and Z company, I want you to delete everything you have on me." It's sitting on some mainframe or bunch of tape, et cetera. There's no way for them to get that out, and Stu's able to sue them if they're not able to take action by X number of months or years. So, you know, it's an interesting but a very important challenge for companies. >> We're experiencing some of those challenges here in Australia as well, which is not actually subject to GDPR, but there's certainly a lot of a, a lot of legislators and a lot of other organizations looking at it, particularly if they're global organizations, they do need to be compliant. It applies to EU citizens, so, if we have EU citizens and you have systems in another country, then you need to actually deal with GDPR issues even though you're not part of the EU. So a lot of organizations are grappling with that. So, maybe you could give us a bit more of an indication of how Veritas is helping those customers to grapple with that situation. >> Yeah, absolutely you're right. So, as long as you have a connection to the EU, whether through a customer or through some sort of a transaction, you're already part of the GDPR compliance initiative. Right, that's what customers need to realize if they haven't already, that's number one. Number two is going back to my original point about visibility. Compliance has been a thing for a long time. GDPR's yet another new thing that are on compliance. So if you don't have end to end visibility into your infrastructure, and if your data is not classified, and it's not classified on ingest going forward. Look, yes I made a big deal about the fact that over the third, last 30 years we've created on our data, and we put it away in archaic systems, but if you consider that as a percentage of the amount of data that we have today, it's very small. What they should be most worried about as customers is, what they're going to create in the future. So the classification of the data has to happen on ingest. As soon as it comes from a Hadoop system, et cetera, needs to be classified, this is ROT data, right? This is redundant, obsolete, et cetera, I need it classified this data has PII information, so I need to put it separately. I can't just ship everything off for the cloud. So that's what we help with Veritas. Our products help you classify the data on ingest. Right, so you can actually tier this data to the right, you know, storage mechanisms, and have visibility, end to end visibility of that data. Globally. And then you can actually take actions when you have that visibility, you can actually say, "You know what, I don't need six petabytes of browsing history, of the 100,000 employees that I have. They've literally gone Amazon and bought diapers for their babies or whatever. I don't really need to store that stuff. I can just delete it, boop and it's gone right?" Customers don't have that confidence today 'coz they don't have that visibility. >> Jyothi last thing I want to have you help us cover is, we know Veritas has a long history. Learned a lot I think being inside Symantec, now coming out. Bring us up to speed as to kind of Veritas today, position in the marketplace, what the customers are coming to you at this show and outside this show for specifically. >> Absolutely. So, Veritas continues to be the leader in data-protection. That's not going away, that is still at the heart of everything we do, right? Whether it's NetBackup, or other products that we put out to market, it will still be at the core of everything we do. We protect the customer's most valuable data. From the Fortune 500 all the way down to the SMB level, right? That's number one. Number two, we're extending that leadership into new areas like software-defined storage. We're already number one in market share for that. We're going to continue to work on our archiving business, we're number one in there as well, according to Gartner. Right? So the three key areas that we're already in, we're number one. The next area we're going into is, you know, paper over rocks. We want to get into the data management business because we realized, we are the true Switzerland of infrastructure. There are very few companies that, you know, would say, "Okay, I'm competing head-to-head with Veritas and a lot of thing, I don't want to work with them." Right, unless you're a core data protection vendor. Everybody else wants to work with it. We have partnerships with all the major public cloud vendors, to VMware, to you know, on-prem traditional vendors, who you might even consider as competition. They all want to work with us because we sit on top of the most number of exabytes of data in the world. We protect the most number of exabytes of data. So there's a lot we can do with that data. Protection is not enough. Our next step in this journey is to make management, visibility, and compliance on top of that data, a lot easier for our customers. >> Alright, so if you're to sum it up in one word, is this still Veritasome? >> It's Veritasome. It's very very Veritasome. >> Alright, well we've been having an awesome week here at VMworld. Jyothi Swaroop, thank you for the update with Veritas for Justin Warren, I'm Stu Miniman. We hope you've had an awesome time watching theCUBE. (techno music)

>> Announcer: Live, from Manhattan. It's theCUBE! Covering AWS Summit New York City 2017. Brought to you by Amazon web services. >> And welcome back here on theCUBE. The flagship broadcast of SiliconANGLE TV where our colleague John Furrier likes to say we extract the signal from the noise. Doing that here at AWS Summit here in midtown along with Stu Miniman. I'm John Walls and we're joined now by Ben Newton who's the analytics lead at Sumo Logic. And I said Ben, what is an analytics lead? If you were to give me the elevator speech on that? You said you're the geek who stays up all night and fiddles with stuff. >> That's why I joined Sumo Logic. I love finding the things that other people didn't find. And when I first joined, I was staying up until 2:00 a.m. every night playing around with the data. My wife started getting worried about me. (laughter) But that was the path that I set on. >> You're the guy that looks at the clouds and sees the man's nose, right? >> Yeah exactly, exactly. >> It's just it's in data that's all. >> Yeah, yeah. >> So I hear this concept. But we'll jump in here about continuous intelligence, right? >> Ben: Yeah. >> It's machine data and there's just this constant stream. I mean, how do you see that? How do you define that? And how does that play with how you, what you do? >> Yeah, no absolutely. So, I've been around a little while. And when I started out, there was a particular set of problems we were trying to solve. You know, we had the $100,000 Sun Microsystem servers. You drop 'em on the floor, somebody gets fired. But it was a very particular problem set. What's happened now is that the market is really changing. And so, the amount of data is just growing exponentially. So I kind of have my own conjoined triangle slide that I like to show people. But basically, things are getting smaller and smaller and smaller. We're going from these monolithic services to microservices, IOT. And the scale is just getting bigger and bigger and bigger. And what that means is that the amount of data being produced is it's bigger than anyone ever imagined. I was just looking up some numbers that Barkley says it's going to be 16 zettabytes. I had to look that up. That's a billion terabytes by 2020. That's like watching the whole Netflix catalog 30 million times. (laughter) That's the amount of data that customers are dealing with and that's what's exciting about this space I think. >> So, I remember at Re:Invent. You see Sumo's like the booth when you walk in. They actually had sumo wrestlers one year. (laughter) Remind me, just wrestling. I've got all that data. How do I take advantage of that? How do I democratize the analytics on data? What are the big challenges? You said customers used to be dropping a server on the floor. How are they getting their arms around this? How are they really leveraging their data? And leveraging analytics more? >> Yeah, I got to wrestle one of those sumos. (laughter) He let me win a little bit. (laughter) And then it was over. >> Did you have to wear the outfit? >> Luckily no. That was good for everybody. Yeah, you know, I think ... A few years ago, it was all about big data. And it was all about how much data they could get in. And I think you saw some announcements from AWS today. Really people are getting their hands around it. Now it's all about fast data. Like what can I do in real time? And that's what people are struggling with. They have this massive amount of data that's just sitting there unused. And people weren't actually getting value out of to drive the business. And that's really the next goal I think over the next few years is how can our customers and these companies get more value out of data they have without having to invest in all this costly infrastructure to do it? >> I think a few years ago, it was big data. I'm going to take the compute and I'm going to move it to the data. >> Yeah. >> Now, last year at Re:Invent, talked to a lot of the companies. They're working with Hadoop and the like, and they said the data lakes are now in the public cloud. >> Ben: Yes. >> But now I've got edge computing. I kind of have the data side, the public cloud, and the edge. And I'm never going to get all my data in the same place so how am I managing all of those various pools of data? >> Ben: Yeah. >> How do I make sure I get the right data in the right place so I can make the decisions that I need to when I need to? >> Yeah, it's a good question. So, a lot of what we're trying to do now is trying to help customers get the data in the way they want it. Just like you said. So, before, it might have been about here's our standard way. And here's our agent. You go install that. Now we're trying to provide ways for them to get the data in they want. We're providing APIs and basically trying to move towards becoming more of a platform. So the customers are sending us with third party tools they like. Because I was talking to one of my developers. And I asked him, if somebody came and said to you, you need to change the way you produce your data to use this product, what is he going to say? And he used a four letter word I can't repeat. That's how they think about it. They don't want to have to change the way they do things. So what we do is we provide lots of different ways of getting from multiple clouds from multiple tools. Open source tools. We don't care. Making it as easy as possible to get the data in. >> You know, if Stu and I were different clients of yours. What matters to Stu is much different that what matters to me, right? So how do you go about helping determine access to data in a context that I want it, >> Ben: Yeah. as opposed to the data that Stu wants at the time that he wants it? Cause it's just not about finding real time stuff, right? It's about also finding value at it. >> Ben: Yeah. >> And helping me put action to it. >> You know absolutely John. So I think there's a couple different ways. One is making it easy to get the data in like we just talked about. Another way is actually building a COSMO that matches how you use the data. The typical way that analytics tools have done it in the past, including us before, was kind of a one size fits all model. So last year we announced our unified logs and metric product which was trying to appeal to long term trending. And so now, what we're moving towards as well is providing a model that allows our customers, we call it cloud flex. It allows them to organize their data in the way that makes the most sense. So, maybe you want to keep your security data for a year. But you want to keep your operational data for seven days. That's fine. But organizing the way that makes most sense to you and match your cost to your data. I mean, this is the path that I think AWS has really set. That we're basically meeting customers where they're at. Allowing them to use it. And the second thing is also making easy for their customers to get to that data. And use it in the way they like. So you can make it easy to get in, cost efficient model, and then make it really easy for the user to get to that data. >> Ben, who are you working with the most? Maybe you're working across all these but Amazon was talking a lot about the data scientist this morning. All the ETL challenges >> Yeah. >> that are happening. I know there's a big boost for developers. I expect there's probably something with Lambda >> Yeah. >> that you're involved in. But what are some of those hot button issues that you're seeing across some of the customer roles? >> Sure, sure. I think one thing where you say that with data scientist. I mean we all know that there's a data scientist shortage. We have data scientists at Sumo Logic. They're hard to find. And so part of this is making it, one of the hot button issues is can I get people that don't have that background access to the data? And so, I may want to geek out and write inquiries and staying up to 2:00 a.m. writing that. Most people don't. That's (mumble), right? Not surprising. >> Stu: Right. >> So, a lot of that is how can you make it easier for our developers for example that have another job to do. This is not their main job. To get access to that data and use it. And so for example, one of the things we've done for customers we did for ourselves at Sumo is even making that data accessible to other parts of the business. So for example, our sales reps at Sumo Logic actually use that data to drive the customer interactions. So they can go to a customer and say, hey, we're seeing how you're using a tool. We think you could get value out of these other five things. And work with them in a constructive way. For example, a couple of other clients I've worked with. They're actually using the data in their marketing departments and their sales departments and putting this up on the wall so that other parts of the business are getting access to it beyond dev ops and IT ops, which is huge value to them, right? >> Sumo, I'm just curious. Sumo Logic, umm, where from the name? What's the genesis of that? >> Well the official story is that it's about Sumo, big data. The real story is that our founder Christian loves dogs. And he has a dog named Sumo. And so, it really fit well. It fit the name cause of big data but it also it fit it because he had a >> Alright. >> he had a dog named Sumo. >> I'll buy that. Just curious. Ben, thanks for being with us. We appreciate the time here on theCUBE and you could have taken him I know, if you really wanted to. >> I appreciate that. >> You could have, no doubt. (laughter) Ben Newton. Analytics lead at Sumo Logic joining us here on theCUBE. Back with more from AWS Summit in New York right after this break. (upbeat techno music)