(upbeat techno music) >> Hello, everyone, and welcome to this special Cube conversation here in Palo Alto. I'm John Furrier, co-host of the Cube. And we've got two great guests. Prashant Jagganathan, Technical Director of Global Alliances at Catalogic, and Vaughn Stewart, Cube alumni, good friend of the Cube, Vice-President of Technology at Pure Storage. Guys, welcome to this Cube Conversation. Good to see you. >> John, it's great to be here. Nice to see you, mate. >> So, you're on the road. You guys are a growing startup. You guys are doing great. Congratulations. >> Prashant: Thank you. >> So you guys, Catalogic, we've been covering you guys. And you guys came busting out. Still, in my opinion, not well known, but well known. You're the most unknown well-known company because you have a really awesome solution. Pure Storage, you guys are known. You just went public, earnings, again, another successful quarter. Congratulations to the team there. Again, everyone's like, "Pure Storage!" You guys continue to demystify the marketplace with performance, congratulations. Why, what's going on? >> Thanks! Again, we've just announced our quarterly earnings. Another great quarter. We've accomplished 3350 customers, 25% of those are in the Fortune 500. Over 25% of our revenue comes from cloud service providers, be it SaaS, PaaS, you know, hosted private cloud. Really the key of our success has been not the performance of Flash, which I think a lot of folks assume, it's been about reinventing the operational model through simplicity. We'd like to talk about being effortless, efficient, and evergreen. That's kind of our tagline to help customers put their data to work. >> There's certainly a cloud transformation going on, and I want to get your guys thoughts. Because one of the things that our team at Wikibon, our editorial team at SiliconANGLE are focused on, is really three major pillars we're seeing that are powering a whole new set of applications. Cloud-native, whatever you want to call them, that is, obviously cloud computing, which is a combination of on premises, hybrid, and then public. Big data, which is now AI, machine learning, and then IOT. Those are like really the underpinnings that's transforming the data center. And this is causing a lot of opportunity for app developers on top. And you're seeing all the key software markets just completely being disrupted and transforming. So I got to ask you guys, what does this mean to your relationship? Because you guys have a partnership. So how does that fit into that industry trend. Can you talk about the partnership that you two guys have together? >> Prashant: Sure. I'll let you go first. >> So we first started engaging, almost a year ago. >> Prashant: Right. >> You know, there was a lot of relationships based out of the Valley from previous relationships, or I should say employment -- >> John: It's a small industry, the storage industry. >> Yeah, we all know each other. >> And, so at that time, even more than your current opening statements, Catalogic was really flying under the radar, right? A powerful set of tools, how to bring in a copy-data management and data protection scheme into a heterogeneous storage infrastructure. And, they've kind of bridged this gap between, I'm software enabled, software defined, giving you a control plane. Leveraging all of the offload and acceleration capabilities within the hardware infrastructure. And at the end of the day what we were able to identify is this fills a huge gap within the market. Whether customers are looking to convert their virtual infrastructure into a private cloud, meaning it can be self-service, right, by the end users, or consumerized, if you will. They can better accelerate their development teams. And develop a more DevOps centric model, that lets these teams start to work in a more agile infrastructure. And ultimately start to embrace better hybrid storage technologies by making data protection just a native element within their onprem, and extending it into the cloud. >> Prashant, what are some of the use cases, because this really highlights the demand for faster solutions, not necessarily buying the new tool or something else. People got to use what they got. >> Yeah exactly. First to start with the integration rate. So we are a very synergistic relation. Catalogic is an orchestration engine. So it leverages in place existing infrastructure, to automate certain operations. So these operations include, answering your question on use cases, include DevOps, include TestDev automation, and also data protection and disaster recovery management. So it makes it use-case driven, and also for different industries, where they're looking for a centralized, a heterogeneous automation tool that can perform a lot of operations, but not reinventing it, so we don't need to move it to another appliance to deliver these use cases, but leverage the services that the storage, and the hardware already provides. >> TestDev is obviously low hanging fruit. That's kind of been around for a while. We've heard a lot of the top cloud guys say that. We're hearing, as we go out through a variety of the events, real practitioners and end users putting production workloads into the cloud, and really bringing the hybrid architecture in there, which impacts the storage and the preexisting. Outside of test and dev, I hear a lot about mission critical. Are you guys seeing that? Is that a use case? And then, how do the people who are your customers deal with that pressure. Okay, move some mission critical workloads. Make them work. What happens? >> Right, mission critical applications are what's actually driving. They are actually driving the purchasing point of the product itself. So, applications like if you take Oracle, or SQL Database, they are running on high performance storage on Flash. And, what these developers and app owners are looking for is, I have my production data but I need to access that data. They cannot touch production. So they end up using a copy of data, which is driven by backup tools. They backup the data to some tape or some disk appliance, and they perform a full restore operation, which is slower and doesn't give them data access right away. So, with Catalogic what we are trying to do is leverage these production databases, and then quickly spin them up for these mission critical applications. They get a data protection locally on the storage. And these copies can be spun up instantly from an end user for self service. They are looking for quick access to data, which sometimes the storage administrators cannot give them right away. But we provide the tools, and the necessary components to give users access to the data. >> Let me add some color to this, because I agree with what you said. I think when you look at what's occurring within midsize businesses and enterprises, which is really where we sell to. At Pure Storage we don't go into the small market. There is this macro desire from organizations to get their private cloud finalized. This transition from virtual to private cloud. Because the end-state of private cloud is then to optimize IT resources, and start to move your people into areas of future investment. Meaning focus more on IOT. A lot more on the analytics. Whether it be ML or AI. And so when you take a step back and say, okay they'll come from macro and let's talk about our two products. We make an all Flash array. What was interesting about the introduction of our Flash array when we first brought it to market was, it didn't start in tier two or tier three. It started mission critical tier one. In which you're in that space, and you're dealing with some applications powered by an Oracle suite, or on top of SQL Server for example. There are a lot of steps that have to be taken to protect that data. I've got to call the application. I've got to coordinate with the hypervisor layer, the storage. And if I'm now going to start to automate this to bring a cloud-like experience to my end users, I've got to deal with compliance, operations, and security concerns. I should say regulatory, concerns. >> Think of all the personas involved in this. >> Which means, it may be a retention policy. It may be a release the resources. It may be measuring the resource constraints. It may require data masking. All of these elements that are above the storage layer, and above our great performance and cloning engine. Catalogic manages for us. And they've got geocentricity to it. Is it onprem, what country is it in? Is it off in the cloud? These are the elements when you say, I want to make a private cloud a cloud. It's where the hypervisor vendors have kind of left us looking for more. >> John: So that's a gap. So that's the gap you're talking about, if I get your thoughts on that, because Wikibon just put out a survey just last month, that through 2026, the true private cloud, they call it true private cloud, is going to be 237 billion dollars. That speaks to the data center migration to cloud, where you've got true private cloud, which is essentially data center that has cloud-like features for DevOps, and hybrid cloud. But, this mission critical question comes back to it. Because, as VP of technology, you know. We've talked about storage in the past. Databases in isolation are easy to deal with, but when you're dealing with production databases, this is a nightmare. No one wants to fool with them. So talk about how hard this is, because most people don't get how complicated it is to wrangle production databases to get something into production, in a true private cloud. >> So, like you said, production database, nobody wants to touch it, because that's driving business, and anything to do with business, the developers don't want to touch it, the QA. >> They call it NoOps. No, don't touch it. >> Prashant: Don't touch it. Exactly. >> And they also want self-service too. They want no operational people involved as well. >> And that is part of the problem as well. Every time you're, the whole DevOps moment is you trying to combine the developers and talk to the Ops people. But the true DevOps is, the Ops is not involved. Just developer wants some access to it, they get it right away. The Ops people don't usually want to give access to developers for the production environment. Part of the reason because developers want to do a lot of different things with it. They want to do batch testing. They might want to run queries against it, run analytics against it. Use it for big data consumption. And if you do this against production database, not only are you degrading the performance of it, even if it's on Flash, you're performing operations that you don't normally perform on a production database. Which is why they need access to it in a self-contained environment. Not directly on the production. >> And one of the values that the private cloud can differentiate itself on today versus public cloud offerings, is in the public cloud, there isn't an ability to make instant copies of production data. You've got to be making backups that come out of one storage silo across the interconnects to another silo, and then when you want to clone, it's got to copy out of that silo. So from an agility, a time to perspective, the clouds not there on that construct yet. It's all based on software copies. In the model that Catalogic enables, whether its Pure Storage or other storage partners that are within their portfolio of support, we get to leverage these engines that are very mature and robust within the enterprise class storage arrays today, to deliver this agility and speed. And we find customers being very creative in how they're leveraging these technologies. I was sharing before we sat down. We have a customer that, they've taken their legacy environment, which is storing all these customer records and information in a relational database, and now they're leveraging it to say, let's make multiple copies of this database and run queries and parallel across multiple cloned instances. Because they don't have the staff that knows how to adopt a dupe ecosystem today. >> Alright, so let me see if I can put this together. Because, the things I like to look at externally to what you guys are doing, and some trends that I can point to. Pure, your growth on terms of number, is in the green. Competition's down. So you're obviously in a modernization kind of wave. People are buying your stuff and they're moving it in. But also seeing on the data protection side, in the cloud you're seeing new startups emerging. I look around, there's a lot of startups reinventing data protection, and backup and recovery for cloud. So the pressure that the customers have is, I want the best of what I've been doing, but yet I got to move to the cloud really quick. IT modernization, consumers. Whatever you want to call it, it's happening. How do you guys work together to make that happen? Because, I still got to get this new environment, but I got to make the production protection work. There's no four walls anymore. Am I getting this right? >> Yeah, that is correct. So, customers are moving to the cloud there. The notion of hybrid cloud exists in some fashion as in, they are running most of their mission critical applications on production and on faster performing arrays. But they are still moving their workloads into the cloud. So they have a mix of both. With a true data protection, you have to cover both these scenarios. The hybrid cloud model, where you're taking care of data protection both on premises and also into the cloud. So with the cloud migration, now it becomes more important to understand and catalog the entire environment, to identify what's out there. Are they protected? And are my users getting the right access to the right data? So that's where Catalogic comes into the picture, where it can provide a single global view into things, of identifying these are your mission critical applications right there on premises, and here's the data in the cloud. And, not only drive data protection natively in the cloud, but I also give cloud people access to data that's on premises. >> So you guys have a good fit with Pure that way, because they're >> Prashant: Exactly. >> hitting the large enterprises, and then emerging modern enterprises, but to store Flash. You guys kind of give some extensibility through that integration >> Right. >> So I got to ask you the tough question. Data masking and security. Huge issues right now. Security in particular. There's no perimeter in the cloud. You guys know all about this on the storage side. Onprem is pretty well known, but still there's no perimeter even on premise. How are you guys dealing with security in your relationships? >> That's a great question. It's actually easier for me. That wasn't a tough one. >> John: Damn, I wanted it to be a hard question. >> That wasn't a tough one. So data obfuscation, or data masking, is a main ask for mission critical applications. So, especially when you're talking about DevOps giving access to data. You don't want to give access to production data that contains information like credit card info, social security number, blood group of your firstborn. Kind of information that you want to keep private. So, Catalogic integrates with some of the data masking, or obfuscation tools out there. So, that's a great value add to the storage as well. So, from a storage layer you don't really know what's the content of the data. Whereas Catalogic provides that information, where it can take the database information, and apply masking against it. And, when we manage these snapshots, we provide role-based access control against it. So an end user, we'll give them access to them. For admins to do basic recovery they can perform against the entire database. Whereas a developer who needs access to a subset of the data will only get access or see the data that we allow them to see. >> Okay, hard question, then I'll try to bring another one to you. Self-service as nirvana. IT operations moving into higher value, cloud-native, developer. How do you guys see the progress of full self-service. Scalable, horizontally scalable data. Are you there now? Where does that fit, that picture of full self-service? No operations guys involved. >> So, no operations guys involved is still. >> John: See I stumped you. >> Right. So, it's still in a runner because it combines a couple of things. So one, if you want to give access to data, it has to be instant. And it doesn't have to be script driven. It has to be either click of a button, or leverage the existing tools that they have. And the other is, how much can you give access? So in the sense that, I have 15 developers. And, 15 developers are all asking for the same data, and you need to have a performing storage that should be able to handle these multiple stream requests. >> And I think you're speaking very eloquently about the technology, but I think you're understating the whole nature of enabling the private cloud and having it be self-service. There is a point in time when you first take that first 30 to 60 minutes to setup Catalogic and to register into the authentication realms, and the virtualization environment, and the storage array. Okay sure, that's overhead. Then you're going to spend some time with your team, as the operations side of the house, defining your infrastructure policies. And you're probably going to go reach to talk to, again this is DevOps. I'm going to go talk to the development teams, and go talk to the regulatory folks. What are the requirements? Because does this data have to stay in country? What countries is is visible for? >> There's some legwork up front. >> What has to be masked based on what groups? And you setup these role-based policies. Once that's in place, that's no different than ... Now you have a service catalog. And you're showing up, and you're like, "Hey I'm John." "You guys know I'm part of the Oracle team." >> And so the developers can have full access to that data. They can program with it. >> Vaughn: They get to catalog and the API set >> Prashant: So what we ... Exactly, so what we create is templates. And these templates can be customized to a developer. So I have a financial services team, that needs access to the financial service data. So we'll create templates that'll include policies like, hey, this is the storage provision for it. This is the data, the mass data which contains the financials. And, we'll give that template to the financial services team. >> And just for the audience, because I think we all grok this, but I want to make sure the audience gets this. The difference between what we're talking about, and just saying well, "Hey I can clone" "a database virtual machine today" "by my hypervisor." Sure. But that's a manual process by the virtualization team. Which is disconnected from the application team. >> There needs to be an email. A meeting gets setup. People have to weigh in. >> But there's no data masking. There's no role-based access posse. There's no termination of the resource policy. So, we're sitting again and back in, sure virtualization gave us agility, but we're still manual and trying to track it. This gives us not just a catalog of services. It's all audited. Now we can go back and see who accessed what data at what time. Cloud. >> Awesome. Vaughn I want to ask you the final question, because I want to talk about kind of of a futuristic industry view. AI is the hype right now. Augmented intelligence I call it. But, soon artificial intelligence. We're seeing self-driving cars out there. Will there be self-driving storage? I don't mean literally driving around, but I mean, talking about auto provision. We're talking about the ability to just plug something in, having machine learning and AI, these kinds of things. Are you guys working on things like that in R&D? I would imagine a world where ultimately you plug the storage in. Magic happens. People are programming with it. It's programmable. Where are we on this? What's the vision? >> So you got to watch out. This is a trick question, right? Rule number one from your Comms team, don't make news. So, I would say is, again, going back to our pillars, in the foundation for Pure. How do we help customers put their data to work? We make it effortless, efficient, and evergreen. And under that effortless piece, the big notion with Purists is there's no knobs to turn. And so the secret sauce is that I can give you Flash performance at disk economics. And guess what? You're virtualization admin can be a storage expert. Can hit six nine's availability without ever reading a manual. So this is the foundation of what we've built with Flash Array. We've now rolled out Flash Blade. And, let's just say with our partnership >> Are you being a good, you're being a good spokesperson right now, by not trying, trying to go to the script. Prashant we'll go to you, because we know everyone's working on automation. So that's not a secret. The question though is specific. I don't want to get you in trouble, but the point is, people are looking for real automation where there's some intelligence. That's the trend. You guys are kind of at the beginning stages of your relationship >> Prashant: Correct. >> that are doing that now at some level. When's that next level, what's it look like. >> The heart of automation is building that catalog. And there goes in the name of our company Catalogic. I don't want to give any future details away, but yeah, that's where everybody's going. They're all looking for a chatbot, or an Alexa-like project. >> Well storage is a service is what people say. Tesla is a car, it's not really a car anymore. It's a service. >> Prashant: It's a service, right. >> Powered by software. Storage you can almost imagine some product coming out that's very service and connected oriented. >> Well look, I wasn't trying to dodge your question but, >> I know. >> at the end of the day, everybody wants to automate their data center. I think you were taking it a step further saying, "Okay look, I see frameworks here" "of what we're talking about between Pure and Catalogic." What comes next? We've got a lot of folks that we know in this valley that are working for a number of startups trying to say hey, how do I bring AI into the data center? I think it's going to be more prevalent over the next four or five years, so let's see how it develops. >> Okay, so where does the partnership go next? We'll kind of end it on that. And you guys have a great partnership, and thanks for coming in and sharing the data. But Prashant and Vaughn, where does this go next? What happens next? Good integration, what's the next step? >> I think customers who are looking at this today, the easiest place to start is to say I want to automate Oracle and/or SQL, or I want to bring, and look at reinventing my backup space. I don't want to buy an appliance. I want data protection to be part of my ecosystem and cloud-connected. Where does it go from here? I think we'll see probably an expansion in terms of our partnership. So we've got a new product called Flash Blade that we want to look at, >> Prashant: You want to look at as well. >> work at working on together. We've got us some other work that we can't announce at this point in time. But if you come to Accelerate, which is our user conference in June, you'll hear about some of the new capabilities we're going to bring to market, and that we are working on within that ecosystem together as well. >> Yeah, and for us it goes back to the mission critical databases. So we are expanding our portfolio, and adding more databases, and expanding existing databases. >> John: Expanding the catalog. Microservices oriented, that kind of thing? >> Exactly, and supporting other ... >> Key industry applications, based on vertical. >> Right, and tighter integration with existing storage arrays as well as the new ones. >> Cloud is about the data, right? The data is where the action is. That's the action. >> And we are looking at how to extend into the cloud as well. >> Alright, Catalogic and Pure here on inside the CubeConversation. Prashant, Vaughn, thanks for spending the time. I'm John Furrier. Thanks for watching this CubeConversation.

live from the mandalay bay convention center in las vegas it's the cues covering vmworld 2016 rock you buy vmware and its ecosystem sponsors and welcome back here on the cube to continue our coverage to vmworld from mandalay bay along with peter burrows i'm john woloson it's a pleasure to welcome two fellows are know all about being on the cube one of them very recently Kim Barth is back with a CEO and co-founder of catalyzing software came good to see you oh it's great to see you and Eric Herzog I mean the Hawaiian shirt we know is is your signature moment it was finally a vice president probably marketing and management at IBM but you're an original cubist you said that I think the first year that the cube happened I was on with Dave eons ago must have been either 2010 or 2011 the first cube ever we got to make you like an emeritus member of the Alumni Association something and let it be careful when we say say cubist let's be very clear about it right now I've got to mix words here yeah kubera all right so if you would let's take a look at talk about your relationship Kenta logic at IBM I know you have a long-standing partnership you might call that that's evolving and getting a little bit stronger and Ken if you would maybe paint that picture a little bit oh look I mean these guys are just fantastic to work with we've been working with IBM for a couple of years now we're excited because we're going to continue to move the relationship forward and we've got some exciting new announcements about supporting even more of their storage coming out later this year what we're really excited about is the way that they've jumped in and they have a complete line of flash products and as you know from our conversation the other day flash is just taking the market absolutely by storm particular around the primary applications so what we've done at IBM is dramatic extend our portfolio this year we've been a market leader for years in all flash and we see flashes ubiquity cross all primary data sets so whether that be the high-performance databases VMware environments are virtualized environments cloud configurations big data linux doesn't matter what the workload is and we have all sorts of price points all sorted from performance yo flash does have different performance characteristics depending on how you configure it now you use it substantially now of course any flash configuration abstention faster than a traditional storage array or any hybrid array 10x to as much as a hundred x in real-world application spaces so we've expanded it down from our high end into very cost effective energy products as low as nineteen thousand dollars street price not lit not right there at the point of attack end-user raid five configuration for nineteen thousand we have big data analytics all flash configurations we have mainframe in the upper end of the Linux community of what's left of the UNIX world that's still out there that few Solaris and AIX business we have a lot of products of that space again all going flash and it doesn't matter what the workload is virtualized workloads database workloads virtual server workloads virtual desktop workloads cloud workloads new world databases Splunk spark Bongo Hadoop Cassandra all of those types of workloads now can be all flash and we have the right workloads with the right solution at the rice price point and you pick the right price point right solution you need for the right workload an application and when it seems to me that you talk about performance obviously key factor their speed you know off the charts but cost is the one that once that's been solved as you said is that the big nighter is that's what's going to like the what you're seeing is flash is essentially at the same price as disk was so there's a number of storage efficiency technologies on the primary side which is a we do cattle onic edges efficiency technologies on the copy side because so much copies of data are made not only for disaster protection but for test and dev snapshotting that's n used for backup so they track all that to get efficiency on the secondary side of the equation we do things like real time compression you block level d do we have all kinds of technologies dying to cut the cost of flash and so when you factor that in flash is way less expensive actually then disc and when you look at how it impacts your data center so for example if you were running certain workloads we have a real world public reference to run their work blood which is database work look took 80 servers because the storage was so slow so you over provision your servers because of what's called storage latency that customer just swapped out the storage for flash and went from 80 physical servers to 10 to the exact same workload so the impact of flash is not just performance oriented it's actually very cost oriented not just what does it cost per gigabyte for the storage but if you can take out 70 servers you just cut not only the capex on his server farm right all the operational expenditures around it and then what cat logic does people make copies of the primary data sets and they make everything efficient on the copy cider if you will the secondary side of storage and so they complement each other what we do on primary what they do on secondary so let's talk about that a little bit so if you think about it there no productivity is a function of the amount of work that you can do divided by the amount of cost or resources consumed to form that word so flash has significant benefits as you just said that cause side but when we start talking about a lot more copies that can be made available to developers or decision-makers in a lot of different forms now we're accelerating the speed by which that digital assets get created and we're improving productivity not just through efficiency and the cost but accelerating the value that I t's able to deliver through the business that's exactly right you're hitting the nail on the head because as Eric over here said it saves capex and opex with just slash but if you had a copy data management product particularly one like ours that has it's really a combination a copy data management we have a workflow engine and we have full access to rest api's that the customer can begin to tailor it to their environment and solve a lot of pain points like around test dev database copies snap copies things like that you know they did some studies IDC actually did some studies earlier this year we're at any given time a customer would have 50 copies of different data floating around the neighborhood 50 snaps and the reason this is a complex issue is because you have many different storage types taking many different stamps you have applications snaps and so if you think about it this all starts by organizing the snaps putting them in a searchable database if you will then offering a workflow engine where you can automate the process even make it self service right and at the end of the day what can happen is they can move delete so they really kind of you have control over your environment but what they can do is they can begin to really save huge money so with flash you're going to have good kept at x + op X but if you put our ECX product in which is what a lot of our customers call copy data management on steroids you can see geometric savings of that op X and capex but you're also accelerate development time absolutely official with all about efficiencies you all those things are absolutely improved absolutely right and then if you start having like we have arrested a series of rest api's you can begin to really tailor it to that customers environment so if you're doing again I go back to the test dev example and test dev we can tie that directly into things like puppets chef bluemix right these are all development tools that make it totally efficient for the software developer right that's just one use case will we go ahead no so Eric as I new introduces more of these products arguments in the storage business for a long time forever yeah ain't that about me and respects IBM created the whole concept of storage administration whatever was 30 years ago now but as IBM does this is storage increasingly being elevated as customers see their data volumes going up and the need to track where this data is who's using it the number of copies in place how is that impacting the way IBM thinks about the concept of an overall system well we look at it from the application space it's all about the applications workloads and use cases and customers want to optimize the business value of that data so as it's growing exponentially you'd be able to access that data quickly and most importantly it needs to be always there so everyone talks about speech BCC speed for flash it's not just about speed of flash your Flash ray needs to be reliable available and serviceable just like our driver ray had to be and so you're looking at different characteristics and performance different characteristics and price different characteristics in the rats capability the reliability available in serviceability and you tie that to what you need for your workloads we've had the highest in oracle database in a company let's say that company is all oracle so you need something like our flash systems a 9000 or flash system 900 but if you've got the oracle database that tracks their asset management which would mean things like chairs tables and whiteboards that's not high performance that could go on our store wise 50 30 f which is way more cost effective and it's incredibly fast compared to our driver e but not as fast as our flash systems so it's very important a that you have the performance but be if you don't have the reliability doesn't matter how fast you are if the thing fails then your cloud goes down your virtual environment goes down your VMware doesn't work you can't access that Oracle or there sa p or that Hadoop and so it's really about how to optimize those workloads those applications and those use cases and storage is the rock-solid foundation underneath that allows you to do that absolutely and when you're going into world that's all about cloud which means real-time access and self service and the self-service suspect by the way it means that you don't always have a store gentlemen accessing it so if the thing fails and the guy's a VMware admin or a developer in Oracle or in any other environment he doesn't know what to do so you can't have the storage fee land in cognitive workloads and big data analytics workloads where you're running petabytes and petabytes and petabytes of information as fast as you possibly can you're trying to make business decisions or rail times you need the speed so what if it's super fast and then it fails so to put it on a black trading you know database for black trading for example or some of financial applications if it's really fast and then it fails that didn't help it hurts you so it's all about how to manage those workloads applications use cases natural for performance which everyone knows flash is but all that reliability available in the serviceability and then they manage a cat logic on the back side all the copies that people create which is it which is critical to make sure that those get managed appropriately and you don't have you really need 50 copies but you don't want 150 it is completely and efficient on the storage side and then developer doesn't know what to use so you just made it worse for yourself so you just introduce raise an interesting point related to data governance so I know that obviously cata logic has some ideas about how data governance is likely evolved partly in response to the need to manage multiple San apples understand where they are talk to us a little bit about how data governance which is fundamentally about how a business brings policy roles responsibilities to assets as data becomes more of an asset house governance changing oh I think governance is huge because dated you know data is exploding and particularly you start moving you have numbers of copies like Eric was saying how do you track that how do you know where it is how do you you know if you're in a compliance based business you could be in a lot of trouble so you've got to make sure you can audit and know where it goes and again one of the ways to do that is to keep it under control and not have so many copies floating around in his example you might make 10 to 15 copies of that database why do that if you only need one right that's one of our big advantages that we have versus some of our competitors we do what's called in place copy data management which means we we simply leverage Eric's great storage out there so a lot of our competitors will actually put a copy of that they'll make a copy on Eric storage move it to their storage and then you've kind of exacerbated the problem a little bit right what's like hoarding right exactly right but I and I mean kind of the Peters pointing some what you're saying is is that because we can we do right and so we make all these copies and it's exactly not need you know fifth down but but because I can and it's cheaper and storage is going down like cleaning out that closet we all have that closet at the house that we just keep putting stuff in and one of these days we think we're going to clean it out and the thing just grows and grows and they have to buy another house to get another closet so again how does this all this curb that behavior and that allow me to monitor through some governance policy when somebody is going over the line and we bring it back of the line and and we get a little more regular restrictive act again because of our workflow engine that we have in the product you can set thresholds you can automate the process so is example when a you know when a DBA or somebody gets a copy of the database you can put a time limit on when it's going to wipe it out they're going to stay in sync across the board so again you're not replicating this thing time and time again they're getting timely data when they need it and then it can automatically be removed but if I mean time one of the biggest problems within an IT organization is making available making data available to the disparate groups that need it solutely administrative costs of I need data well we'll get around to giving you that second to sorry in September right being able to do this much faster and utilize flaps technologies to facilitate that process has an impact on cost has an impact on the benefits which increases productivity has an impact of governance but also is an impact on the healthy friendly relations between IT and the business yes well what's happening is you're undergoing a revolution in the data center cloud obviously it's started with virtualization now it's extending to the cloud now you have a line of business that's more involved in IT than it's ever been before so the last thing you want is to worry about your storage or you just want it to be the foundation okay I'm from Silicon Valley we have earthquakes buildings really fall down on earthquakes if they have a bad foundation if you have a rock-solid foundation your cloud your cognitive your database workloads will always be fine you want to make sure that as you're doing that you're doing a cost effectively so both high performance that you need but high performance has a whole bunch of different price points at high performance because the entire world's got high performance other thing from an IT perspective and a business on a perspective flash storage is actually the evolution the revolutions the rest of the data center right I'm old enough where when I took my first computer class of University of California not a punch card then it all went tape anyone's seen a 1985 Schwarzenegger spy movie it's all tape then you see a 1995 Schwarzenegger spy movie and it's all hard drive arrays now it's all flash arrays so it's just an evolution from a storage perspective and it coincides with a revolution in the data center of cloud cognitive big data analytics real-time evaluation of data sets and so flash is coming at the fur and perfect time as you have this revolutionary confluence in the data center in the cloud and the web application workload yusuke space the fact that flash is only at evolution is actually great because you don't have to worry about it it's just an evolution of storage and allows you to take advantage of the revolution in your gayness enter your application or workload space that's the way the flash brings is is it's not a revolution it helps the revolution it does because as Eric was saying it you want to modernize your data center is what you're out to do and if you splash is a good step towards that and then if you had a copy data management tool like our product ECX on top of it it gives you the flexibility to move to the cloud move move it move data up to the cloud and back right it allows you to start offering self-service to your people so it doesn't take you know weeks or days to get that copy of the data they can start doing it themselves so it's a step in the right direction as he said from an evolution to the revolution of the data center yeah I'll bet out there somewhere right now there are a couple Millennials watching say did you already said about punch cards what a punch good oh no that's all it's all about date at the right place at the right time for the right people and you guys are a great example of getting that job done and thanks for being with us and sharing your story and we wish you continued success that's right I'd like to say one thing with you it is finished real quick if anybody out there has SVC or if they have in the flash from IBM please come see us we've got a great product that will greatly increase the capex it's cattle ajik software or can bart thank you gentlemen for being with us here on the cube we continue our coverage from vmworld after this thank you