>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum, World 2019 brought to you by IBM Wear and its ecosystem partners. >> Welcome back. This is The Cube. Live at VM World, 2019 times. Too many men with my co host Justin Warren, David Dante, John Ferrier. John Wall's John Troyer. Like a certain founding fonder, Alexander Hamilton, the Cube is going non stop coverage for the three days Habito. Welcome back to our program. Two of our Cube alumni's Lynn Lucas, who is the chief marketing officer of Cohee City. And she's brought along John White, who is the chief innovation officer at Expedient. Thank you both for joining us. >> Happy to be here. Happy 10 year anniversary to the cute >> Well, thank you so much. And you know, so many people we've known over the years. Actually, the first time I met John wait was I believe in this whole, you know, at VM World, you know, talk about what's going on. Eso You know, I always love talking to the service riders because it's been going through just a massive transformation, you know, all along on you, John, you've got a different title Since the last time I interviewed you, You been involved in the strategy You and I have gone toe cloud shows together and some of the other things they're so bring us up to speed as to, you know, expedient here at the show. And, uh, what brings you here with cohesive? >> Yes. Oh, yeah, thanks to your right. But I think it's probably five or six years ago. Maybe I asked too. You said, Hey, what do you know about the service provider community? Cause I wanted to kind of educate you because it was something that's been fairly new and expedience been in that industry for a long time. We were mainly in infrastructure of the service provider, man. The service providers are rounding on all that I t. Stuff that people need and ah, this VM world is a huge one for us. Last year we launched Enterprise Cloud, which is a product based on VM. Where's full softer to find stack And that was something we wanted to go to market with to give an alternative people, When you say Hey, I need to go to the cloud and you realize that okay. I really can't just take my APS and lift and shift and go there. There's another place for you that's a little a little more familiar. And as we see 20,000 people know VM were obviously that air here. So that's usually what what's usually happening in the Enterprise. So we're talking with those folks, and so we would launch that platform. We thought about everything differently. We were running virtualization since, 06 of seven, and we wanted to change everything back up platforms as well as needing things like scale out now, as were necessity at that point. So this VM worlds are coming out because we had, ah, release that last year. And now we have a lot of good customers to talk about on that platform. 12 months later. >> Yeah, well, Lynn, first of all, congratulations because, you know, I know John sits on customer counsels for some of these events. I've dug into a bunch of the networking pieces with him and actually was, you know, we spent a bunch of years. We went to a bunch of shows together and he was looking at the some of the various vendors and a bunch of the new startups and cohesive E is the one that you know really stepped up provided the solution that he was looking for. So it's been interesting to hear service fighters. You were usually the first ones that companies were talking to. But bring brings the cohesive story there. >> Yeah, and so were a super pleased and honored to have expedient working with Cohee City. And John has been instrumental in really providing a lot of direction to us on what his needs are and how to make the product even better for for him and the service provider community, it's a huge part of our go to market strategy. We believe that with the massive growth in the interest in hybrid and Justus John was saying, There's so many customers that really aren't equipped to deal with How do I move to ah hybrid cloud strategy, whether that before compliance reasons, whether that be geographical reasons under you've seen them all. And so this is something where we feel really thrilled to have the, um, where's cloud partner of the Year working with us and to help serve customers with the expedient enterprise Cloud platform. >> Congratulations on that team. And right when we first met five years ago Public cloud for VM wear And for most of the service bodies, it was the enemy, all right. It's like, Oh, my gosh. There, you know, you went toe Amazon reinvent and create a little bit of partnership. So give us the update on hybrid. What that means and how solutions like, Oh, he city, you know, help you provide services to your customer. >> Yeah, it's funny you mentioned. I mean, that's you would ask me, What are you doing here? What are you doing here? Because it was going out doing this research, seeing where the market was on containers on adoption of Claude practices. So we wanted to make sure that we were very open with all the different solutions that are out there. And that's been our strategy from the from the start. So building enterprise cloud was one thing we need to do to come to market with a platform like everybody else. But multi cloud is really where we have focused. And it's funny. I mean, when I when I first started coming to the M world, it was very product centric, you know, you had this product, you could do X with it. And here's the return that you would get at it. And when you're coming to the emerald now it's more about platforms. And that's really what I found most interesting with Cohee City when I first met Mohit, probably two and 1/2 3 years ago, was that he was focusing on the platform of data management. And that's really what the problem was. It wasn't now, specifically, it wasn't data protection. Specifically, it was What all can you do with that with that data management? And we're You know, we're spending a ton of time with Cohee City on. We were building multi Tennessee with them to them, be able to support that. And that's what we're delivering on now. So it's it's it's the scale out now's it's ah, data protection. And then we're taking those service is and then putting him in eight of us in azure or wherever it might be because it doesn't matter to us, because long term we want to care about the long term I t care and feeding and focus on that as our value prop instead of just actually which silo >> it lives in. Yeah, and right from the very beginning, I remember speaking to Kohei City very, very early on when it just sort of come out of stealth. And it was baked into into the product the idea of data management that it was going to be much more, much more than just data protection. So, what are you seeing now that we have a lot of years of product development has clearly gone into it since we first looked at it then. But what are you seeing? Customers using the platform for here in 2019? >> Well, we started a little bit more unique than most other customers. I think we talked about this, you know, throughout CO e city. And we actually started on a scale out now's platform s. So we have one of our clients homes dot com who? They're with us this week because they have a really interesting you. No need for this type of enterprise. Cloud there with us and they're talking about all the different benefits they received out. And they started actually with on the file side of things homes dot com, real estate, online real estate. So I think you know about how many images and how many fouls you have out there. We have 2.6 billion images right now running on the cohesive platform. That was 2.6 billion and a 30% annual growth rate. Yes. So the numbers are crazy. You can't put those on any other traditional now, as that's out there. Uh, so we used a he city first to get started there, and then the backups really were the icing on the cake. So last October, we built We started going out the Nats platform to handle those images. And if you actually go to homes dot com right now, it's being served fully out Enterprise cloud from a container and virtual machine layer and then on the back end from Cohee City. And they were using that to protect it as well. >> And I think that if I add on to that is really a testament to the, you know, the foundation that mo it built, which is a true distributed file system, Google like, in that sense. And I think correct me if I'm wrong, John. But you know, you then also saw while that benefit of a platform approach and not another silo for the backup and having co he city help solve the challenges for both files as well as data protection and then maybe one day in the future. Looking at some of the things that we're doing now that we're doing more security on running APS and things like that on the platform as that may be an extension for you, >> Yeah, that's that's definitely a big focus of our effort, the global d duplication that you get with CO he city. When you add all those files in all the different customers, we have all the different virtue machines. Ah, the ratios were hitting or just insane. And it's something we decided as a service provider that we we said, OK, this technology, we actually want to give that benefit back to the customer. And so when somebody buys data stores from us on the data production, they buy what they're actually consuming on the disk. So you could have 100 terabytes in all of your V EMS. If you only need one terabyte, that's all you're buying from us. And that's a lot of the power of that platform that we get with cohesive. >> Yeah. So, John, wanna help? They want you to help us understand the nuance of something. We're platform? Yeah. Has a little bit of new Monsanto. Little bit, a little loaded thing. GM was the platform. Cohesive is a platform. You use both of them. So just help us understand how cohesive Ian Veum wear and all those things that they go together. They're not, you know, competing against each other in as your architectural Or are they? They're >> not competing there two layers, In my opinion, where you have your primary stores really living in and the M R and secondary storage is everything else on Cohee City. Ah, what? The nice thing is, they did a lot of cool things to kind of marry the two together. Um, one of the one of the tools that we're using Aesthetic ahi city is called Instant on or instant Restore a Virtue machines so we can actually spin up a virtual machine almost instantaneously. It lives on the Coast City platform. Once it's rehydrated, then does a storage the emotion automatically into the V, m or environment. So we're able to do migration or if we had, You know, we have a bad ransomware attack and we need to restore 100 V EMS within a few minutes. We can instantly bring those back up in the cohesive platform and then move them to a production virtual environment once it's done. And that's something that we weren't able to do with our existing vendor. And that was something we needed to actually go and focus on because being in the healthcare space being in the compliance space, that's that's a big problem for us. >> Yeah, just add, I think that, um Vienna, where is clearly one of our most important partners. The very first area that mo it developed was data protection, for I am where, I would say, well north of 70 75% of our customers are protecting their Veum, where environments We have a very large customer that's protecting over 18,000 V EMS on Cohee City. So with the certifications that we have with V. C. D. And with the integrations, as you've mentioned with of you realize it's it's really it's a partnership. Andi think we're adding a lot of value to the customers that are building on V. M. where is >> very complimentary for sure. >> Yeah, it's been interesting that to see how customers choosing to go with a platform like like expedient because, as you mentioned earlier, stewed like five years ago, Cloud was the enemy. And but we're being told that on a public card is gonna take everything, and it's just gonna own all of the environment where is now? In 2019 we found that the story is actually much more complicated than that. Some of us probably believe that at the time I put my hand up is one of those that customers actually needed to live in multiple places. It's not a story of or it's a story of end, so you do need to be ableto have something which can work well with others on the same way we've got. We've got co, he's ity and V M. Where is it? Well, they're not really competing with each other. They work better together and particularly as customers scale, we find my any any kind of enterprise customer is header a genius, so you have to have solutions that give them options and that work together well with you have to play nicely with others. >> I think that's exactly right. And part of what we've done is built a software to find solution and to also give John expedient flexibility. How do you want to deploy for your customers? The solution. Is it in the, uh, the hyper scaler? Is it Hello, somewhere? Is that your own cloud? And so that's part of the advantage. I think all in one solution that then you can give your customers some flexibility as well as to how they want to consume the service as well. >> Absolutely meaning the flexibility And you mentioned software only, and are, you know, software or suffer to find that was something that was big for us. When we're looking for partnerships, we have a standardized hardware build that we want to use. And that was all built on Del. And it was something that, you know, we were able to work with obesity to get that standardized so we can continue to roll out. Excuse that we were most comfortable with. And they could just have the software layer on top. >> Yeah. So you've managed to do this successfully. You're going really well. Yeah. What's next? >> Well, um you know we have, you know, So in we ordered in October of last year. Right now we have six petabytes online enrolling. So that's that's great. You know, that's that's good to see. That's going to continue to grow at a pretty rapid rate. Data is something that obviously, we all know is never gonna shrink on. We're gonna continue to grow that with new customer acquisitions, and that's everything where we want to continue to go with this, Uh, this product specifically is on the data management side. The things that they're doing in Helios to start to get understanding and awareness in value out of that data that's sitting there is really, really important and exciting for us in the future. We deal what tonic compliance PC idea says hip. And we want to make sure that the data that we're storing inside of there will be compliant by those. So being able to write an application to see if the credit card numbers in a file or in a database by using the cozy platform that we brought us value. Same thing goes with a lot of the ransomware protection they're doing. So if you see a foul that gets encrypted, then I know. Okay, I have a problem. I better go look at that and give me a time stamped, Actually. Go on, restore from instead of actually trying toe, you know, pick around. And hopefully I find it when it before it was encrypted. So we're really excited about those opportunities is the future and seeing what data management can just bring to it. >> Well, Lynn, always a pleasure to catch up with you. Thank you so much for joining us again. And John, my friend, this is your six time on the program, actually gonna have a celebration in New England in a little over unveil for, ah, six s o right in New England. So for Justin Warren, I'm stupid him in. We love talking about sports here, and, uh, yeah, the Cuban way have the Niners and the Patriots for the team there. But as always, Thank you for watching the cue

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the queue. Now here's your host. Still minimum. >> Hi, I'm student men and welcome to a special edition of Cube conversations here in our Boston area studio. Habito. Welcome to the program. First of all, to my right, a first time guests on the program Drew Clark, Who's the chief strategy officer? A click and welcome back to the program tomorrow on Carryon. Who's a senior vice president of enterprise data integration now with Click but new title to to the acquisition of Eternity. So thanks so much for joining us, gentlemen. >> Great to be here. >> All right, True, You know, to Nitti we've had on the program anytime we haven't click on the program, but maybe for audience just give us a quick level set on Click. And you know the acquisition, you know, is some exciting news. So let's start there and we'LL get into it. >> Sure, thanks. Teo and Click were a twenty five year old company and the business analytics space. A lot of people know about our products. Clint View, Click Sense. We have fifty thousand customers around the world and from large companies, too kind of small organizations. >> Yeah. Alright. Eso you No way. Talk a lot about data on our program. You know, I looked through some of the clique documentation. It resonated with me a bit because when we talk about digital transformation on our program, the key thing that different to the most between the old way of doing things the modern is I need to be data driven. They need to make my decision the the analytics piece of that s o it. Tomorrow, let's start there and talk about, you know, other than you know, that the logo on your card changes. You know what's the same? What's different going forward for you? >> Well, first, we were excited about that about this merger and the opportunity that we see in the market because there's a huge demand for data, presumably for doing new types of analytics business intelligence. They they's fueling the transformation. And part of the main challenge customers have organizations have is making more data available faster and putting it in the hands of the people who need it. So, on our part of the coming from eternity, we spend the last few years innovating and creating technology that they helped car organizations and modernize how they create new day. The architecture's to support faster data, more agility in terms ofthe enabling data for analytics. And now, together with Click, we can continue to expand that and then the end of the day, provide more data out to more people. >> S o. You know, Drew, it's interesting, you know that there's been no shortage of data out there. You know, we've for decades been talking about the data growth, but actually getting access store data. It's in silos more than ever. It's, you know, spread out all over the day. We say, you know, the challenge of our time is really building distributed architectures and data is really all over the place and, you know, customers. You know, their stats all over the places to how much a searchable how much is available. You know how much is usable? So, you know, explain a little bit, you know, kind of the challenge you're facing. And you know how you're helping move customers along that journey? >> Well, what you bring up stew is thie kind of the idea of kind of data and analytics for decision making and really, it's about that decision making to go faster, and you're going to get into that right kind of language into the right individuals. And we really believe in his concept of data literacy and data literacy was said, I think, well, between two professors who co authored a white paper. One professor was from M I t. The other one's from ever sin college, a communication school. Data literacy is the kind of the ability to read, understand, analyze and argue with data. And the more you can actually get that working inside an organization, the better you have from a decision making and the better competitive advantage you have your evening or wind, you're going to accomplish a mission. And now with what you said, the proliferation of data, it gets harder. And where do you find it? And you need it in real time, and that's where the acquisition of opportunity comes in. >> Okay, I need to ask a follow up on that. So when a favorite events I ever did with two other Emmett professors, yes, where Boston area. We're putting a lot >> of the >> mighty professors here, but any McAfee and Erik Nilsson talked about racing with the machine because, you know, it's so great, you know? You know who's the best chess player out there? Was it you know, the the human grandmaster, or was that the computer? And, you know, the studies were actually is if you put the grandmaster with the computer, they could actually beat either the best computer or the best person. So when you talk about, you know, the data and analytics everybody's looking at, you know, the guy in the ML pieces is like, OK, you know, how do these pieces go together? How does that fit into the data literacy piece? You know, the people and, you know, the machine learning >> well where you bring up is the idea of kind of augmenting the human, and we believe very much around a cognitive kind of interface of kind of the technology, the software with kind of a person and that decision making point. And so what you'LL see around our own kind of perspective is that we were part of a second generation be eye of like self service, and we've moved rapidly into this third generation, which is the cognitive kind of augmentation and the decision maker, right? And so you say this data literacy is arguing with data. Well, how do you argue and actually have the updated machine learning kind of recommendations? But it's still human making that decision. And that's an important kind of component of our kind of, like, our own kind of technology that we bring to the table. But with the two nitti, that's the data side needs to be there faster and more effective. >> Yeah. So, Itamar, please. You know Phyllis in on that. That data is the, you know, we would in big data, we talk about the three V's. So, you know, where are we today? How dowe I be ableto you know, get in leverage all of that data. >> So that's exactly where we've been focused over the last few years and worked with customers that were focused on building new data lakes, new data warehouses, looking at the clouds, building basically more than new foundations for enabling the organization to use way more data than every before. So it goes back to the volume at least one V out of the previous you mentioned. And the other one, of course, is the velocity. And how fast it is, and I've actually come to see that there are, in a sense, two dimensions velocity that come come together. One is how timely is the data you're using. And one of the big changes we're seeing in the market is that the user expectation and the business need for real time data is becoming ever more critical. If we used to talkto customers and talk about real time data because when they asked her data, they get a response very quickly. But it's last week's data. Well, that's not That doesn't cut it. So what we're seeing is that, first of all, the dimension of getting data that Israel Time Day that represents the data is it's currently second one is how quickly you can actually make that happen. So because business dynamics change match much faster now, this speed of change in the industry accelerates. Customers need the ability to put solutions together, make data available to answer business questions really faster. They cannot do it in the order ofthe month and years. They need to do it indoors off days, sometimes even hours. And that's where our solutions coming. >> Yeah, it's interesting. You know, my backgrounds. On the infrastructure side, I spent a lot of time in the cloud world. And, you know, you talk about, you know, health what we need for real time. Well, you know, used to be, you know, rolled out a server. You know, that took me in a week or month and a V m it reduced in time. Now we're, you know, containerized in communities world. And you know what? We're now talking much sort of time frame, and it's like, Oh, if you show me the way something was, you know, an hour ago. Oh, my gosh, That's not the way the world is. And I think, you know, for years we talked to the Duke world. You know what Israel time and how do I really define that? And the answer. We usually came up. It is getting the right information, you know, in the right place, into the right person. Or in the sales standpoint, it's like I need that information to save that client. They get what they need. So we still, you know, some of those terms, you know, scale in real time, short of require context. But you know what? Where does that fit into your customer discussions. >> Well, >> to part says, you bring up. You know, I think what you're saying is absolutely still true. You know, right? Data, right person, right time. It gets harder, though, with just the volumes of data. Where is it? How do you find it? How do you make sure that it's It's the the right pieces to the right place and you brought up the evolution of just the computer infrastructure and analytics likes to be close to the data. But if you have data everywhere, how do you make sure that part works? And we've been investing in a lot of our own Cloud Analytics infrastructure is now done on a micro services basis. So is running on Cuban eighties. Clusters it Khun work in whatever cloud compute infrastructure you want, be it Amazon or zur or Google or kind of your local kind of platform data centers. But you need that kind of small piece tied to the right kind of did on the side. And so that's where you see a great match between the two solutions and when you in the second part is the response from our customer's on DH after the acquisition was announced was tremendous. We II have more customer who works in a manufacturing space was I think this is exactly what I was looking to do from an analytic spaces I needed. Mohr did a real time and I was looking at a variety of solutions. She said, Thank you very much. You made my kind of life a little easier. I can narrow down Teo. One particular platform s so we have manufacturing companies. We have military kind of units and organizations. Teo Healthcare organizations. I've had just countless kind of feedback coming in along that same kind of questions. All >> right, Amaar, you know, for for for the eternity. Customers, What does this mean for them coming into the click family? >> Well, first of all, it means for them that we have a much broader opportunity to serve them. Click is a much, much bigger company. We have more resources. We can put a bear to both continuing enhance The opportunity. Offering is well as creating integrations with other products, such as collecting the click Data catalyst, which are click acquired several months ago. And there's a great synergy between those the products to the product and the collected a catalyst to provide a much more comprehensive, more an enterprise data integration platform, then beyond there to create, also see energies with other, uh, click analytic product. So again, while the click their integration platform consisting Opportunity and Click the catalyst will be independent and provide solutions for any data platform Analytic platform Cloud platform is it already does. Today we'LL continue to investigate. There's also opportunities to create unique see energies with some afar clicks technologies such as the associative Big Data Index and some others to provide more value, especially its scale. >> All right, eso drew, please expand on that a little bit if you can. There's so many pieces I know we're going to spend a little bit. I'm going deeper and some some of the other ones. But when you talk to your customers when you talk to your partners, what do you want to make sure there their key takeaways are >> right. So there is a couple of important points Itamar you made on the data integration platform, and so that's a combination of the eternity products plus the data catalysts, which was, you know, ca wired through podium data. Both of those kind of components are available and will continue to be available for our customers to use on whatever analytics platform. So we have customers who use the data for data science, and they want to work in our python and their own kind of machine learning or working with platforms like data robots. And they'LL be able to continue to do that with that same speed. They also could be using another kind of analytical visualization tool. And you know, we actually have a number of customers to do that, and we'LL continue to support that. So that's the first point, and I think you made up, which is the important one. The second is, while we do think there is some value with using Click Sense with the platform, and we've been investing on a platform called the Associative Big Data Index, and that sounds like a very complicated piece. But it's what we've done is taken are kind of unique kind of value. Proposition is an analytical company which is thehe, bility, toe work with data and ask questions of it and have the answers come to you very quickly is to be able to take that same associative experience, uh, that people use in our product and bring it down to the Data Lake. And that's where you start to see that same kind of what people love about click, view and click sense and brought into the Data Lake. And that's where Tamara was bringing up from a scale kind of perspective. So you have both kind of opportunities, >> Drew, and I really appreciate you sharing the importance of these coming together. We're going to spend some more time digging into the individual pieces there. I might be able to say, OK, are we passed the Data Lakes? Has it got to a data swamp or a data ocean? Because, you know, there are lots of sources of data and you know the like I always say Is that seems a little bit more pristine than the average environment. Eso But thank you so much and look forward to having more conversations with thanks to all right, you. And be sure to, uh, check out the cute dot net for all our videos on stew minimum. Thanks so much for watching