>>Hi everyone. Welcome to the cubes coverage of eight of his public sector summit live in Washington D. C, where it's a face to face real event. I'm johN for a year host but virtual events. Hybrid events were hybrid event as well. We've got a great remote interview. Got a guest here in person, Jon Stankovic, president of cloud solutions. Smartronix and Britain was the VP of eight of his managed services, also known as A M. S with amazon web services, jOHN and jOHN and three johns here. Welcome to the cube remote >>in person. >>Hybrid. >>Thanks. Thank you. Great to be on the cube longtime viewer and I really appreciate what you >>do for fun to be here remotely but I feel like it right there. >>Yeah, I love the hybrid if it's only gonna get better next time will be in the metaverse soon. But uh, jOHn on the line there, I want to ask you with AWS managed services, take us through what you guys are doing with Smart Trust because this is an interesting service you guys are working together. How's that relates at the table for us. >>Yeah, well, you know, we're really excited about this announcement, We've been working with Smartronix since we launched A. M S 4.5 years ago. So we've been able to build up working with them, you know, a huge library of automation capabilities and this really just formalised as that in an offer for our joint customers where we can bring the expertise from AWS and Smartronix and offer a full solution that's highly integrated to help help our customers jointly accelerate their cloud adoption as well as their operating model transformation as they start to move to a more devops motion and they need help. We're there together to provide our expertise and make that simple for them. >>Well I appreciate the call. You john b john s over here. Js john Stankevich. Um tell me about Smart trust because you heard what's going on with devoPS to point a whole revolutions going on in devops, you're starting to see a highly accelerated modern application development environment which means that the software developers are setting the pace there, the pace car of the innovation, right? And so other teams like security or I. T. Become blockers. Blockers a drag and anchor. So the shift left on security for instance is causing a lot of problems on the security team. So all this is going on like right now so still the speed is the game. What's your take? >>Sure so absolutely. I think that's where this partnership really really excels. You know, we want customers to focus on their mission, you know, national security, health care outcomes. Um we want them to kind of take the rest off their plate. So when you say some of the quote unquote blockers around security uh Smartronix has invested heavily in a federally authorized platform that sits on top of what a WS has done from a Fed ramp and so right off the bat speed agility. We don't want our customers spending time replicating things that we've done at scale and leveraging what AWS has and so by kind of utilizing this, this joint offer all of a sudden a big part of that compliance is taken care of. Uh, and then things like devoPS, things like SRE models that you hear a lot about, we fold all that into this uh, combined service offering. >>I know a little about what you guys are doing. You mentioned SRE is very cool, but let's take a minute to explain what you guys are doing because you guys are on the cutting edge of solving a lot of problems from infrastructure fools around the deVOPS stack. What are you guys doing in the cloud services? >>Sure. So I think jOHN hit a little bit on it. But you know, we look at AMS as best in breed at scale managing core parts of the U. S. Infrastructure. What Smartronix does is many times customers have some unique requirements and we take that core kind of powered by aims and we try and fill in those kind of complementary skill sets and complementary requirements. And so something like the devops, which is basically making sure that those people developing that software, they have also the ability to manage it and on an ongoing basis. Kind of run it. We develop all the frameworks and that's part of this offering to enable that. >>What's the solution jOHN B because I think you guys don't, this is people have challenges. I want to understand those challenges. And then when they go to the external managed service, what's involved, you walk us through that? Because I think that's important. >>Yeah, sure. You know, it turns out jOHN nailed this one. That moving to the cloud can be, can be a big transformation for many, many enterprises and government teams. Right. They worked for many years and have an ecosystem in their traditional data center. But when they move to the cloud, there's a lot of moving pieces and so what we like to focus on is helping them with the undifferentiated aspects of safely and automating cloud operations. So working with, with Smartronix allows us to take what we're doing across the infrastructure services, around security, around automation, around patching instance management, container management, all of those uh, undifferentiated, heavy lifting passed by now with Smartronix and expertise across the application layer across customers, unique environments across federal and moderate the various government standards and compliance is, and we think we're able to get, take a customer um, from kind of really early stage cloud experience and rapidly deploy configure and get them into a very stable scalable posture operationally on the cloud so that they can start to invest in their people, their skills and their differentiated application on the cloud that really drive the differentiation in their business and not have to worry about best practice configurations and operational run books and, and and automation is and and and the latest dep sec ops capabilities that will pick up for them while they're training and getting, they're getting their emotions in place, >>jOHn is on the Smartronix side. Talk about the difference between scale okay. Which is a big issue with cloud these customers want to have with AMS but then you also have some scale, maybe some scale to but highly compliant environments, regulated industries, for instance, this is the hot areas because scale is unwieldy, but if you don't want get rain it in, it can be chaotic. Right? So also regulations and compliance is a huge issue. >>Yeah. What what we found is um, at times customers look at it and they just get frustrated because it can be kind of intimidating and we as a combined team really have spent a lot of time we have accelerators to walk customers through that process and a really flexible model. If they feel that they have a lot of domain expertise in it, then we'll just kind of be almost a supporter other customers look at it and say, you know, we'd like you to take the entire patch of that compliance and so highly regulated environments. Both commercial D. O. D. National Security, um federal civilian agencies, state and local, they're all looking to this and saying we really want someone that's been through things like the U. S. Audited managed service provider, things like they're managed security service provider, things like fed ramp or D. O. D. Ill four and five. And I think to be honest Smartronix has just invested heavily in that with the goal of reducing all that complexity and it's it's really been taken off and we really appreciate the partnership specifically with jOHn and uh the A. W. S. A. M. S. Team. >>All right so you guys were going together, what's the ultimate benefit to the customer? >>I can I'll give my thing right off the bat all this innovation coming out of A. W. S. Um It's fantastic but only if you have the ability to take advantage of it. And so thousands of new services being rolled out. We really want customers to be able to take advantage of that and let at times us do what we do best and let them focus on their mission. And I think that's what really AWS is all about and we just feel very fortunate to be an enabler of that >>john be talking about talking about the staffing issues too because one of the problems that we have been reporting and this has come up at every reinvest on the max. Peterson about this as well. He's promised last year was gonna train 29 million people. See how that comes out of reinvent when the report card comes back. I was kinda busting his chops a little bit there but he had a smile on his face I think is gonna hit the numbers a lot of times, Maybe people don't have an SRE they don't have a devout person or they have some staff that they're in transition or transforming this is a huge factor. What's your take on this, >>you know, that that is so important, you know, as john mentioned, it's all about helping the customers focused and and their their cloud talent is scarce and it's a scarce resource and you you want to make sure that your cloud talent is working on the cool stuff or they're going to leave and and as you train and skill, these folks, they want to focus on what really impacts the business, what's really differentiating doing, you know, doing the cloud and the necessities on operations and operational tasks and sec ops and things like that, sometimes, that's not the sexiest part of the work that the customer really wants to focus their team on. So again, I think together we're able to help drive high levels of automation and really do that day in and day out work that is not necessarily the differentiator of their business and that's going to attract and keep the best and brightest minds in these in these customers um which allows us to help them with the undifferentiated aspects of of the heavy lifting. >>Not only is availability of people, it's keeping the people, I love that great call out there, Okay, where does this go? Where's the relationship. So you guys are partnering, you have the M. S. Is going on? Strong managed services not gonna go away mormon people were using managed services. It's part of the ecosystem within the ecosystem. What's next in the relationship? >>Well, I think, you know, I'll speak first, john, I'm sure you've got some thoughts to, but you know, we've got so many things on our plate around predictive operations and the predictive capabilities that we're excited about tackling together. Obviously there's all sorts of unique applications that require even deeper capabilities and working with Smartronix to help us, you know, provide even greater insight into the application layer. So I kind of see us expanding um both horizontally as well as well as vertically and horizontally. We've got customers looking at the edge with the outpost solutions and we can snap into those capabilities as well. So there's a tremendous amount of kind of, I'd say vertical and horizontal opportunity that we can continue to expand it together, >>john your reaction, That's >>pretty right on Absolutely. I think john Berger really hit it and I think really machine learning, you know, that's a big area of focus, if you look at all this data is being collected, predictive modeling and so we have this kind of transition from a model where people were basically watching screens reacting and what the AWS MSP offer and what you know, AmS offers is really predicting, so you you're not doing that, you're not reacting, you're proactively ahead of things. And that's the honest truth is AWS is such a well run service. It just doesn't break, you know, it doesn't break like what you see in the traditional kind of legacy infrastructure. And so at times we're just continuing to climb that stack. As, as john mentioned, >>it's really interesting as you guys are, as you're talking, I'm thinking myself just go back a couple of years ago, eight years ago or so. DevoPS is a bad word. Dev's dominate up. So I was through them now, operational leverage is a huge part of this ai operations, um, the entire I. T service management being disrupted heavily by cloud operations that also facilitate rapid development models. Right? So, again, this is like under reported, but it's a really nuanced point hardened operations for security and not holding back the developers is the cloud scale. What's your guys reaction to that? >>Yeah, I completely agree. I think, you know, the automation piece of things and I think customers are still going through transitions. You know, traditionally managed services means a big staff and it's like I said, sitting there watching screens and you flip that model where you have developers actually deploying code and infrastructure to support it. It's, you know, it's very transitional and very transformative and I think that's where an offering, like what we've really partnered on really, really helps because at times it can be overwhelming for customers and we just want to simplify that. And as I've said, let them focus on their mission. >>Amen one last question before we break, because I was talking to another partner, a big part of AWS. Um, and we're talking about SAS versus solutions and sometimes if you're too Sassy, you're not really building a custom solution, but you can have the best of both worlds. A little professional services, maybe some headroom on the stack, if you will your building solutions. So the next question is, as you guys put this cutting edge innovative innovative solution together, how are your customers consuming it? Like what's the consumption? I'm assuming there must be happy because a lot of heavy lifting being taken away, they don't have to deal with house the contract process. >>Well, you know, I think, you know, we have the opportunity, we support customers and kind of all modes of their application stack. So, you know, a full stacks solution. You know, even a legacy architecture moving to the cloud requires a high degree of automation to support it. And then as those applications become modernized over time, they become much more cloud native at some point, they might even become a full stack Starzz offer. So many of our customers actually run their SAAS platform leveraging our capability as well. So, you know, I think it gives the customer a lot of optionality uh, and future kind of growth as they modernize their application stack. >>Yeah, john your reaction. Absolutely. >>I think one of the greatest benefits is it's freeing up funds to do mission work. And so instead of spending time procuring hardware and managing it and leasing data center space, they literally have more funding. And so we've seen customers literally transform their business because this piece of it's done more efficiently and they have really excess and really additional funding to do their mission. >>We love the business model innovation, faster um, higher quality, easy and inexpensive. That's the flywheel gentlemen, Thank you for coming on and get the three. John john thank you. Vice President Cloud Solutions. That Smartronix, thank you for coming on. John Barrington BP of amazon websites managed. There is a also known as AWS and A M. S. A W. S got upside down. W. M. Looks the same. Thank you guys for coming. I appreciate it. Thank you. We appreciate great great Cube covers here. eight of us summit we're live on the ground and were remote. It's a hybrid event. I'm John for your host. Thanks for watching. Mhm

>> Announcer: Live from Las Vegas, it's theCUBE! Covering AWS re:Invent 2017. Presented by: AWS, Intel and our ecosystem of partners. (lively electronic music) >> Welcome back everyone, this is theCUBE special exclusive coverage of AWS re:Invent 2017. CUBE's our flagship program, we go out to the events and we extract the signal noise. I'm John Furrier your co-host. With me today is Justin Moore, an analyst. We have two sets here in Las Vegas. Our next guest is Sumeet Singh, Vice President of Cloud Analytics with Juniper Networks, formerly of AppFormix, which was bought about a year ago. CUBE alumni back. New team, Juniper, welcome back. Last time we chatted with you you were entrepreneurial. >> Yeah. >> Taking names, kicking ass, now you're-- >> Bought out Juniper Networks, yeah. >> You bought out Juniper Net, what's going on? >> So we've essentially been building, building more and more and it's actually been a totally awesome experience. So, Last year when we spoke, we were essentially looking at a whole lot of private cloud deployment. Looking at OpenStack, looking at (mumbles), looking at VMware, and since, what we've now started really expanding into is, of course, the multi-cloud and hybrid cloud scenario. And looking at how to secure these clouds on prem, in the cloud, multi-cloud, as well as bring rich analytics into real-time operations insight as to what's going on in all of these environments. And how to optimize them. >> Yeah, that whole multi-cloud hybrid cloud thing is really exploded in the last 12 months. I'm hearing from customers a lot more that they are pursuing a multi-cloud strategy, but it seems that there's just this proliferation of things that you've now got to monitor and secure. So, how are you helping customers to do that? >> So, I mean, you're going to start with the basics. Right? So, the first thing that we got to realize is there are, of course, those companies that are born in the cloud. But then, there's a whole bunch of others who have for long run their own data centers and run their application stacks on prem, who are now looking to migrate to the public cloud and build all that multi-cloud scenario. In that situation, I would say, you need a little bit of hand-holding. You need to understand how your application's running on prem, which ones can be moved to the cloud, how can they be moved to the cloud, you want to ensure that those policies that you were implementing on prem you'll be able to implement those same policies in the public cloud, as well. The monitoring really starts on prem. All of those policies that operation starts on prem, and then you take them and you build them and you >> I'll get your take on, we'll have to get your take too, Justin, on something that's going on that I see clear visibility on. Infrastructure operations, data center cloud, get your house in order, networks, migration, hybrid cloud, multi-cloud, and then all that stuff. Then you've got this developer tsunami going on, a renaissance of real new development, new kinds of development, multiple databases using in app, IoT, so, the software development methodologies are changing for developers. That's obvious. What's the impact to the infrastructure guys, because you're starting to see Lambda and Server List as a way for saying complete infrastructure is code. How does that change the notion of, what the hell the data center is? Because you could argue that's just an edge now. So, what's the software, what are some of the software practices you see that are notable? >> The ones truly amazing, like in all these things that you're saying, is that you no longer need to use one approach to build anything. Any product that we put out, or any service that you put out, now uses a combination of all of these things. It could be Lambda, it could be IoT, it could be a wholesale application that's office started using (mumbles), that's spanning that multi-cloud environment. So, it's the beauty of all of this is the power of choice. We have so much more choice available to us. Right? But then, when choices, with choice comes that explosion and that complexity. It's >> Complexity is key, but speed is also there. You see. So, the question is, at what point does the cream rise to the top, and the people that are slow get run over. >> We're just seeing another evolution in obstruction, really, it's like, we don't write an assembly code anymore. We're writing directly to the hardware. We added in high-level programming languages, and now, in terms of the infrastructure, developers don't care about infrastructure as much as people talk about dev ops, and the thing like dev ops is a thing, developers don't want to deal with the infrastructure. They want to deal with code, cuz that's where they live. And the infrastructure folks, well, a lot of them are actually becoming developers now. So, they're learning how to use tools like, using development tools to actually get their job done. Which is where we're seeing infrastructure is going. So, there's a lot more ob abstraction into pure software, so you don't have to worry about the underlying obstructions, at least, not very much. >> All right, Sumeet, question to you now on that is, that requires the network guys, Juniper, you're part of that, and all the analytics to think differently about what you're instrumenting. To do what he said, to make it free, you gotta enable a lot of policy, a lotta data analytics, take us through what's the current state of the art there. >> So, the current state of the art, is essentially, if you talk about Juniper products, we have our family of SRX products, where you can have on prem firewalls, as well as virtual firewalls in the cloud, and using these tools, you can have consistent policies on prem and in the cloud. You can free up transit VPCs. Then there are the obligations in the multi cloud world, and do all kinds of fancy things. But where we also going with our solutions is to make them much more simpler to consume. It's truly all about simplicity, right? Because now you have all this choice, and you can have Lambda, and you can have all these new ways to bring up your applications. What becomes key is that the policies that you wanna implement become automatic. Right? And the way to do that is, the way we are doing that is, essentially, doing this auto-learning of your environment. Right? Automatically understanding, Automation, right? But, not, automation in two parts, as in automatically detect what's going on, but then automatically apply the policies as well, no matter where the workload is and where it's scaling, we automatically apply the policies to it. >> So, it's a lot of investment in this mart of underly-- Making something simple is actually quite complex to do. So, you need to understand what are the right things to automate, and what are the few things where you actually wanna give humans that choice, without it becoming overwhelming, so that, okay, I have to choose between one of 800 different ways of doing this. That's just not something that humans cope well with, whereas machines are actually really good at that. >> And that's the value here. We want to hide all the complexity under the hood. You know, use those advanced logarithms, use, you know, where they be on prem or in the cloud, but running all the analysis, implementing all the right policies for you, right? And new, new workload comes up it should automatically get the policy, right? And we are now able to do that both in the private data center, as well as in the public cloud, and bridge those policies together for you, automatically. >> The common theme we're seeing in cloud, we had a guest on from Thorn, where they automate, essentially, police officers writing down notes in a notebook to fully spotting with machine learning and all this great stuff, to find missing and exploited children, manual sucks, basically. Manual's slow-- >> The workload's too dominant now for you to think about manual. >> I want real-time. So most organizations, what's going on there? How do you guys help there, what's the progress? >> Oh. So, this is actually a great question, by the way, so, and this is part of the reason why we like, as a company, as a start up, maybe, we're like, doing all this cool stuff, and, you know, not really thinking about all the, hey, this is slowing me down. The reason why we went to Juniper, if you look at the history of Juniper, and the product portfolio, and the stock at Juniper, when it comes to automation, when it comes to things like ABI, when it comes to things like policy, they've always kind of like led the pack in that networking space, and now this is the opportunity to take that that wealth of knowledge, and scale it out, and take it to a little bit broader multi-cloud, hybrid cloud space. But, that's truly where it is, and even if you, kind of like go down low level to the devices, all Juniper devices are able to stream real-time elements. We are able to do ML in real-time, even on the physical devices, right? Similar for all virtual devices, and now, with our Formix, we even bring in the performance and operations inside, from the running infrastructure, whether it's on prem and in the cloud, not just networking, but the compute, the databases, your applications, your clusters, all of that, to build for you this end-to-end view, right? Not just the networks, your servers, Vms, workloads, the underlying network, the connectivity, all of it. >> How does that, because the developers, they live in application land, and again, they don't really care about that infrastructure, but as it turns out, sometimes it's quite useful to know which particular network devices, or what the infrastructure is that underpins things, like where you sometimes need to be able to drop into assembly code to really optimize things, so are you making that information about the infrastructure visible to developers in a way that they like to, to know and consume? >> Absolutely, so, one key thing about, you know, our product portfolio, and how we are releasing our services, essentially, we've wrapped everything around, you know, these role-based access interfaces. Where both the operators are able to get their views, they're able to construct views that the developers are able to see, and then both can implement their own policies, right? If, let's say, there's some infrastructure that's down, or is unhealthy, then having that global topology view helps you in real-time totally, and in real-time informs you what the impact of that outage is. Like who are the developers who would be impacted, what are their obligations? And, you know, we can bring that insight, and consume it to run the automation. So, if, let's just say, some infrastructure's unhealthy, can you read off the graph? >> Sumeet, talk about what you guys are doing here. How's Amazon, big learning conference, but it's a massive show, 45,000 people here, across multiple hotels. A lot of sessions. What do you guys talk about? What's the big cloud piece for you guys? >> For us, really, first, it's just visibility, right? We have a product portfolio that gives you visibility. Like, both for your physical infrastructure, and your virtual structure. Then, the next thing is, of course, You know, yeah, you have the visibility. But then, at our scale, no human can consume all that information. It's too slow. It's too slow. So, you've gotta have the machine-learning built in. So, it's promoting that visibility into insights in real time, and then, it's about how do you secure your workloads? So, consuming all of that insight to implement all of the policies, implement all of the automation, to ensure that everything is running as you want it to. >> What's your Juniper message to the developers here? Is there a new face to Juniper, a new vibe? You mentioned Juniper's always had great products, like, you move packets around at lightning speeds, you know, wire speeds, all that great stuff. How do you, what's new? What's it mean for me as a developer, what is Juniper, how's it make my life easier? >> What's new is that now it's easier for developers to consume our products. Our products are now available in the Amazon marketplace, right? Our visibility products, our machine-learning products, our security products, right? You can just click, install, and start using them. That's new for Juniper, right? I mean, traditionally you would think of-- >> You probably get Juniper goodness just by treating it like a library. >> That's it. You can just download, not even download, right? You're -- >> It's server-less. It's router-less. It's device-less. >> There you go. You can just start consuming them. And then, if you do have that knowledge of how do you use those devices on prem, then you can apply that knowledge in the cloud, and then use them all. >> Must be computing back in, what, like 20 years ago. I mean, is it just like a grid now. >> Oh, yeah, pretty much, yeah. >> It's a fabric. >> It's the same, if you already know how to use it one place, you know how to use it everywhere. >> Yeah, but, I mean, it's, really, the value of the cloud is making it even simpler, right? Running all of that automation, like we talked about Lambda, like even within our products family, we can, we use Lambda to constantly see what's changing, and that's how we process lots of our internal transactions, as well. >> Sumeet, congratulations on your acquisition and your entrepreneurial journey, and now you're at Juniper. Looking forward to keeping in touch. Sumeet Singh, Vice President of Cloud Analytics, and now at Juniper Networks, formerly AppFormix, CUBE alumni, thanks for coming on and sharing your commentary. I'm John Furrier, and Justin Moore, here on theCUBE, main stage in Las Vegas at AMS re:Invent We'll be back with more after this short break. (lively electronic music)

>> Announcer: Live from Las Vegas, it's the Cube covering Dell EMC World 2017 brought to you by Dell EMC. >> And welcome back here to Las Vegas, we're in the Venetian, the Cube is at Dell EMC World 2017. Good afternoon or good evening if you're watching out on the East Cost or perhaps overseas. Good to have you with us as we continue our coverage here on the Cube. I am John Walls along with Keith Townsend who's the principal at CTO advisors. And we're joined by Boaz Palgi who is the vice president and GM and one of the founders of ScaleIO. Boaz, thanks for being with us here on the Cube. Good to see you. >> Yeah my pleasure. >> John: First time I think, is that correct? >> No no no it's my fourth time. >> John: Oh fourth time, first time with me, my apologies. >> It's my first time with you, yes. >> My apologies, tell me about the history a little bit. I think it really says something about the growth, the explosion and what you've seen. 14 employees back in 2013, Dell makes the purchase. Today you have 220 plus working. So obviously you've had a lot of great growth, a lot of expansion, but a lot of success. >> Yes, yes we've experienced a lot of growth not just in the number of people, but also in customers. Not just in number of customers but also in the capacity in production with customers. So today we see we have well over 300 large enterprise customers like financial institutions, telecoms, all kinds of other enterprises. Also on top of that some mid-size and even smaller customers. And what we see is that the capacity sizes of our customers have been growing over those four years as well. So if four years ago we had maybe a part of the storage estate in some of our customers, today we have quite a few large enterprises that have completely standardized their entire block storage estate on their ScaleIO. Maybe one example of that was today in the keynote opening of this event, Dan Maslowski of CitiGroup presented how they have been using ScaleIO. They're running ScaleIO on tens of petabytes today and still growing very, very fast and with a lot more capacity to be added over the next few months and years. >> So what's going on there? Why are customers with CitiGroup want, who've already made the move, but are making the move over to SDS. What's generating that kind of activity and what kind of gains do you think they're realizing from that? >> I think there are two ways to look at this. One way to look at it is that actually storage arrays were invented 25 or 30 years ago in order to work around the problem of lack of resources for CPU, for processing, for memory in the application servers. So 25, 30 years ago an application server had barely enough resources to run a single application. So if people wanted to add another application to manage the storage, etc., they had to take another server, fill it with disks and that became the storage server which is the storage array of today. But nowadays application servers obviously have ample resources in terms of CPU memory, network, bandwidth. You can put any media whether it's flash or magnetic in your servers. So you still have enough resources. That's exactly where ScaleIO comes into play. We take those little part of those resources to actually provide enterprise class, storage capabilities in a software form factor alongside the applications or the hypervisors or the databases on those same servers. So this is maybe the technology enabling the shift in the paradigm that has been happening. On the other hand when you look at what is possible today products like ScaleIO make operations of the data centers significantly easier. So if in the past you needed to have dedicated storage products that were actually islands by themselves you couldn't really inter operate between various storage products or various vendors. You needed dedicated storage teams that were specialized on that storage every few years. Storage estate would come up for refresh or their competitors would start bidding. You would start getting very expensive and intrusive data migration projects from the old storage to the new storage. All of that is something of the past when you work with soft storage like ScaleIO. >> So Boaz, let's talk about that for a little bit. WikiBond did research and determined that they called this market originally service, some people may call it hyperconversion infrastructure. But overtake traditional storage arrays in sales in the next couple of years. You talked about ease of use, let's talk about the deployment. How is ScaleIO consumed? >> We see several form factors of ScaleIO today. The most obvious one is software. Some of our customers buy ScaleIO software. They have the servers of their choice which might be Dell servers or HP, or IBM or any other server vendor out there. They build their own estate just like they used to buy servers to run their databases for Oracle or to run their operating system, the hypervisors, etc. Now they also run the storage as another application really on their servers. That's one form factor. Actually people some of our customers today downloaded software from ScaleIO from the internet, started to use it, started to grow it and then came to Dell EMC to buy the license and to grow it and to put it into production for real. >> That's a kind of strange statement you said. This is a platform that holds petabytes of storage. You're telling me customers just download it and installed it? I missed the whole sales process before the download part. That's very unusual for an EMC. >> It's unusual for EMC and especially for all of NS really in the storage space. But this is, this is a new world. So ScaleIO software is freely downloadable for testing purposes. Customers find it, download it, and we have not a small number of customers that actually came to us that way. Hey, we already use ScaleIO, we tested it. We took some servers that were lying around, we built a cluster, it works. It gives tremendous performance, it's easy to operate. We want to roll it our in production. And we're saying we need to buy the license for that. This is one form factor. The second form factor that we see are appliances. ScaleIO obviously supports the 14G servers of Dell. We are agnostic really to the underlying hardware. But this is with one of the Dell server approaches that we are supporting is to provide appliances based on 14G servers running ScaleIO together with hybervisors or like ESX or hyper VOKVM and a management software around it that we call AMS that allows customers to manage their entire stack of the server and the ScaleIO software and the hypervisor software and the firmware, etc. with single-clicks configuration, single-click upgrades, and pretty soon also a single-click deployment of machines and storage together. This is the second form factor appliances with whole management package for the entire stack really wrapped around it. The third form factor that we see are the VX Ragflex approaches. Where VCE or CSPD these days are selling entire racks including networking, compute, and ScaleIO storage. Customers can buy these racks, plug them in, and start running their applications and their environment out of the box. >> It's all about simplicity, right? I mean talking about one-click, you're talking about the accommodation of force, the new structure. So it's all about making it a lot easier at the end of the day. >> Keith: It's solving a great problem. >> Huge problem. I would say it's simplicity of management but also simplicity of operations. In the past traditional storage estates forced people to deal with storage items. Forklift upgrades from old systems to newer systems. When you have an array that's full you now need to somehow migrate data to another array. There are a lot of operational challenges with the traditional approaches that completely disappear just like that when you deploy a software like ScaleIO which completely scales across all these clusters, across all these environments, across bare metal operating systems as well as across multiple types of hypervisors. You really get one big pool if you may, of storage that well big and big pool also provides among the best performance in the industry as well. And this is because our architecture that is completely paralyzed and it makes it possible to not only aggregate capacity, but also aggregate performance across a large number of devices and nodes. >> So curious geek question. When EMC originally bought ScaleIO, Chas Thacket did what I think he called a face melting demo of using ScaleIO in AWS. Crazy stuff I don't even know, it was like a million iops or something coming out of AWS. Shows the portability of the application. Future of ScaleIO, you see a use case for ScaleIO in the cloud? >> Well, ScaleIO in many cases enables the cloud. So we see one of our main use cases is infrastructure of the servers. This is really private clouds in the enterprise or managed hosting or public clouds in telcoms or managed service provider environments. This actually represents a very significant part of our deployments. Another part of our deployments are the traditional enterprise applications like Oracle and SQL and hypervisors of the world. Then we also see deployments of the newer type of applications like (foreign words), Cassandra, all kinds of open stick implementations, etc. Also on ScaleIO. >> I hate to jump ahead but it's always interesting to talk with people such as yourself who are always kind of thinking ahead. What's the next big headache, or what's the next big problem that you'd like to tackle or you'd like to challenge that you think with a more polished or more defined storage capability would solve whatever that dilemma might be that emerging for the enterprise? >> I think the first hurdle we need to pass is just the challenge for most industry veterans in particular to make this shift from they're built like a tank traditional storage arrays that you can touch and see to software that has a connotation, or a perception of it's just software I can't touch it, I can't see it, how can it be robust? How can it be performance? How can I operate it in an easy manner? As a matter of fact, all of those topics are better with a ScaleIO software than with traditional enterprise arrays. We've built some of them in the past. But in ScaleIO you get the most advanced benefits in terms of operational ease, elasticity, scalability, performance, flexibility of deployment, readiness for the future. Agnosticity to the underlying hardware, underlying media. So this really makes the data center a lot easier to be operated, and also a lot lower cost because you eliminate a lot of the complexity. You eliminate a lot of the smaller vendors that only deliver a small part of your hardware state because now you as a customer can really leverage everything on your X-86 hardware. This is commodity par excellence. You can go out there, you can get server vendors to bid for the hardware state that you want to run. And on that estate you can run your applications, your databases, your ScaleIO software, whatever you need. >> So you're telling them you can touch it, or you don't have to touch it, you don't have to feel it. Trust me, it's real right? >> Don't trust me, try it. >> Boaz, thanks for being with us. We appreciate the time here on the Cube and great seeing you. Again four time around you're about to join the five-time alumni club so congratulations on that. >> Can I by the way tell you a little bit about the version, the new version? Maybe very quickly end of this year we're releasing a version, a new version of ScaleIO, ScaleIO Next. The main items there are we are delivering space efficiency, but we provide it in a dynamic manner. So one of the big downsides of putting space efficiency in storage systems is that it usually hits performance quite significantly especially if the data is not too compressible. In ScaleIO we will dynamically compress data based on the compressibility of the data. So if data is not compressible we won't waste resources trying to compress it. If data is very compressible we will use more resources but we will also compress it and we will be able to do that with a very little, very small degradation of performance compared to the non-compressed environment. That's one, two we introduce volume migration in a non-disruptive manner enabling customers to move volumes from flesh-only to magnetic-only to hybrid environments on the fly without any disruption to the ongoing applications. We introduced a spot for vevos in order to be able to run all the ScaleIO capabilities, ScaleIO volume capabilities on a virtual machine granularity level in ESX. And we are also introducing the next level of the AMS management software which is the wrapper around the server with ScaleIO software appliance bundles that enables you to manage the entire stack. >> And timing again? >> End of this year, end of '17. >> Good deal, you've got a full plate, don't you? >> We do, we do. >> Very good well done, thank you again and sorry about that. I knew you had news you wanted to get in, I'm glad you did. >> Thank you for the opportunity. >> You bet, all right back with more on the Cube here from Dell EMC World 2017 right after this.