(upbeat music) >> On June 21st in Cambridge mass at the Sinclair in Harvard Square, Tech Tackles Cancer is back after a COVID hiatus with live band karaoke and some local tech celebrities raising money for a great cause. The Cube is a media sponsor of the event and Josh Epstein, local marketing exec and one of the events organizers is here to tell us more. Josh, good to see you, welcome. >> Good to be here, Dave. >> So tell us about this event. What's going on? What are the logistics? How's that all work? >> Yeah, we're super excited. So as you said, June 21st at the Sinclair in Harvard Square, Sinclair, if you haven't been there is just the great old school rock club. So we'll be there from 6:00 to 10:00. We will have live band karaoke. So the main event and kind of the primary fundraising approach here is that we have some celebrity technology rock gods these featured performers like Chris Lynch who was the founder of Tech Tackles Cancer, who are are raising money from basically now, up until June 21st. Then at the event, their fundraising will culminate with them singing a live song backed by a live band. And the awards will be given out to the most money raised, the best performance and the best stage presence. So it will be a lot of fun. >> So the fundraising format is I sign up to sing do the karaoke with a live band which is a little bit different. And then I raise as much dough as possible. So obviously that's competitive. >> It's competitive, I think that we ask for a minimum of $10,000 targeted for each of the fundraisers but knowing these guys, knowing guys like Chris Lynch, they don't like to lose. So the bet here is that people are going to go out, they're going to hit their network and they are going to look to kind of raise the most money. So we anticipate this to be a great event with a lot of money raised and a lot of fun. >> So we have a graphic from Alex. If you could bring that up of the people who have signed up for this already. We got Steve Duplessie, founder of of ESG, senior analyst. They sold their company to Tech Target, which is awesome. Congratulations to those guys and thank you for stepping up. George Hope, who heads partner sales for HPE, Joe Lemay of Rocketbook Nathan Hall from Pure Storage, system engineering guy and of course, Steiny, Ken Steinhardt from Infinidat. He was at EMC, he's the field CTO now. He's going to be up there singing. So of course, Chris. >> Absolutely, these are just the early entrance here. So we just started really working our networks. And obviously, I'm a Boston tech guy kind of working the storage networks, the networking networks and kind of the other folks that are around. So as we come out of stealth here in April and start really recruiting, we anticipate having probably 10 to 15 of these featured performers, really fundraising performers that we'll sing. And then we're also obviously soliciting broader donations from anyone who wants to come to the event or just give to the cause and the corporate sponsorships as well. >> All right, so you got corporate sponsorships. You can sing, you can donate you can be there just to support it. That's fantastic and the awards, how's that work? >> Yeah, so we're excited. So first off, most money raised wins an award. So we'll have a leaderboard on the website, we'll be able to kind of track who's raised what, at the event, we're going to have some celebrity judges that will be actually voting for their favorites and then have a crowdsource component as well. So we'll introduce what that mechanism is. But as people, either at the events or a watching in streamed live on LinkedIn live, we'll actually vote for their favorite performance as well as their their pick for best stage presence which we know in rock and roll is half the battle. >> Now this cause has raised a bunch of, I think last time, you guys did this, it was probably a quarter million or close to it and you support multiple causes. What causes are you supporting? >> Sure, yeah, actually I think since they founded the event several years ago they raised over $2 million. This year for this format where we're looking, we can really up our game here but this year we're supporting two really great causes that are both focused on pediatric cancer. The first is St. Batrick's that is really committed to raising funds for research to really help stamp out pediatric cancer really. The approach to researching cures and treatments to pediatric cancer is very different from regular adult cancer. So St. Batrick's does a great job of picking those research projects that really target in on those pediatric cancer causes. And then the second is one mission. And one mission really outlooks to help make pediatric cancer patients that are spending time in the hospital, making their time less stressful, less painful, less sad, less boring. And so they do a lot of fundraising and contributions targeting children's hospitals, really around the country for those pediatric cancer floors. >> Josh, amazing cause. Thanks so much for coming onto the Cube and explaining all that. >> Great, thanks David. >> All right, June 21st, go to ttcfund.org, Tech Tackles Cancer fund, ttcffund.org for more information and you can donate. We'll see you there. (soft music)

(futuristic techno music) >> Narrator: Live from San Francisco, celebrating ten years of high-tech coverage, it's theCUBE! Covering VMworld 2019. Brought to you by VMware and it's eco-system partners. >> Good morning, welcome to day three of our coverage here on theCUBE of VMworld 2019. We're at Moscone Center North, here in San Francisco. Kind of a, well not kind of, it's a really cloudy day but I kind of expect that. We've been talking about clouds all week, right? Multi, hybrid, public, private, you name it, we've been talking about it. John Walls and Dave Vellante, good to see you this morning. >> Good to see you John. >> Yep. We're joined now by a couple of executives from Kaminario. Josh Epstein, who's a CMO and Eyal David who's the CTO of Kaminario. Good morning gentlemen, >> Good morning, >> Morning. >> Great to be here, great to be here. First of, let's just talk about the show. I know you've got a presence down on the floor, just your feeling about the traffic, the kind of traffic you're seeing at your booth, what the questions are, coming from customers, maybe what those answers are. Eyal, why don't you jump on that? >> Yeah, so first of all, it's great to be back in San Francisco for this conference! >> John: Here, here! >> Dave: Agreed! >> Definitely. (laughter) And I think it's very clear that, yes definitely, cloud is the name of the game, and especially how do you implement a hybrid cloud, customers are all on their cloud journey, and the big question is, "How do I do that?" "How do I take these new technologies, the cloud, "containers, and how do I take my applications "and my data services to the next step?" And it's kind of all over the place, all decisions, all the customers are asking about, this is where the focus is, where the interest is, and it's a great to be in the center of all of that. >> Yeah, you made a big decision, or a big announcement about a month ago. You said, "Okay, public cloud; that's where we're going." Josh, the driver behind that and kind of, what the early fall outs were? >> Sure, sure. I mean, we started our journey, really from the beginning of Kaminario, Kaminario's about ten years old, and you know, the data storage market, as a traditional all-flash storage array. The past 24 months, we've really pivoted the business model towards first, 100% software, we got out of the appliance business, started really focusing our business on doing these large software based implementations, moving into more subscription based revenue, kind of delivering that cloud based economics experience. And then, over the last several months, we've been focusing on taking our core architecture, which fundamentally decouples the data services from annoying infrastructure, and thinking about how that might actually look on public clouds. So doing the same thing, kind of creating this sort of shared storage experience, delivering all the traditional enterprise class data services, but sitting on public cloud infrastructure. It's been a really interesting journey. >> So let's double click on that, because it's clear that this space is not about the media, it's about the business model, it's about the additional value you can add for customers, so maybe you could add a little bit of color, as to sort of, how's that going, where you guys are differentiating in the marketplace, where you're winning. >> Sure, I mean I think- >> Yeah. >> Jump in, Eyal. >> Yeah, so I think it's, as you said, it's not about the media, it's all about how do you help customers have a uniform experience around any deployment model. So they want to deploy on-prem, they want to deploy in the cloud, they are actively seeking for a uniform way to do that without too much heavy lift. There's some challenges in going to the cloud. If you are not born in the cloud, you need to re-architect your applications, you need to kind of, learn some new skills. There's a big challenge, especially if you have big data intensive applications. That's where we focus, delivering that uniform experience around orchestration of resources and data services across your on-prem, off-prem and public cloud implementations. >> So you guys decided not to ship a box anymore, you know the Silicon Valley show, "Where's the box?" so I'm interested in the technical challenges of doing that, but also the customer feedback, because sometimes people want an appliance, so how were you able to transition through that and what's the feedback been? >> Yeah, I think for us, I mean, our core business, our core customer, has really been cloud scale applications, for the last five years. So this is large SAAS providers, e-commerce platforms, fintech, healthtech, any of these large, mature software companies, right, their core business is delivering a cloud scale application. And for them, you know, many of them were born before the age of the public clouds, they've actually heavily invested in application architectures that rely on enterprise class and shared storage. That said, they see the draw towards the cloud, they see the benefit of the cloud like economics, subscription based, consumption based economics, and then the overall capability to scale up and scale down like the cloud does, but that said, they need that bridge, from where they are today, with traditional data centric architectures to this cloud world. >> You mentioned fintech, and there's an interesting case, because when the cloud really started to gain momentum, a lot of financial services companies, the big guys especially, said "You know, we can build our own clouds." And then they realized, "Well we can't build them as fast as Amazon can build them", and so they sort of pulled back on that. But they, and they sort of put their foot in the cloud, and then went all, and then they said, "Wait a minute." So what are you seeing, in terms of, call it the private cloud, you know, we've kind of swung back to that, is that gap closing, are they able to get close enough? The key part of that is obviously the pricing models, and the pay by the drink. I wonder if you could add some color to the on-prem cloud business- >> Josh: Sure. >> If we can call it that. Some people might object, but that's- >> Yeah, definitely. So the way we approach it is that we want to bring the simplicity, the agility and the flexibility of the cloud model to this on-prem data center, to deliver the same performance, control of a dedicated resource, which is exactly what these type of fintech customers are looking for. So, in our basic architecture, which was already, we decoupled from hardware, already decoupled performance from capacity, we're able to do that extremely flexibly. You can get the same flexibility of the cloud in an on-prem solution with all the benefits, and you can also decide, on your own pace, in your own terms, what you actually need and makes sense to run on a public cloud infrastructure. >> So scale is obviously a big deal for your customers, that's kind of been your focus since day one, what's the bell curve look like? Are we talking about scale in just the ability to scale quickly, or is it also the sheer size, and what does it look like? >> Yeah, I think it's about performance at scale, it's about control over performance at scale, it's about control over availability at scale, and it's obviously about cost at scale, right? I mean, it's too, there's so many different ways to look at the economics of public cloud versus on-prem. If you're looking at the pure dollar, it's clearly building on your own dedicated on-prem infrastructure, it's clearly cheaper than paying Amazon or Google or whoever to do it. But there's clear benefits to kind of going in that direction, in terms of agility, in terms of hands off management, in terms of really just, you know, staffing expertise. But I think it does come down to control, right? And when you talk about scale, when you talk about petabyte scale, it's easy to lose control, and this is the benefit of shared storage models, and this is where we think there's a real opportunity. >> Can I follow up on that, because you said there's a clear benefit of, if I understood it correctly, of building out your own prem infrastructure at some critical mass. There's obviously people, like Andy Jassy, who would disagree with that. So what's your data showing? I presume it's weighted towards large customers. >> Absolutely. >> Yeah. >> But maybe you can add some color to that? >> We've certainly got good research, good analysis on this. And I think if you're talking about, we're talking about certainly over 500 terabytes to a petabyte, it's a multi petabyte scale, data driven applications, we're talking about business critical applications, big block storage, heavy analytics. If you compare just raw economics, the thing is, there's a lot more than just the raw economics, but the raw economics of an infrastructure built on Kaminario versus the equivalent infrastructure, built on one of the block storage resources from one of the public clouds, it's literally about 1/3 the cost, to build out your own dedicated infrastructure, leveraging a good, high quality colo, a good, high quality hardware underneath it. So raw economics, it's clear where that sits. >> Okay, so that's if we're comparing the cost of the, the acquisition costs versus some end number of years, right? >> That's correct, yeah exactly. >> And not really going into the labor costs at that- >> Not going into the direct labor costs of managing the storage, yes, there's clearly interesting benefits to going to a 100% cloud model. What that does to an organization, when you kind of, hands off, you know, you don't have the same kind of in house IT resources, you're out sourcing a lot of that- >> Well except what Eyal was saying before, is that you're trying to bring that cloud model to the data. So to the extent that you can close that gap, then you can- >> Eyal: Differently. >> Substantially mimic, exactly. >> We saw the opportunity to extend those capabilities into the public cloud, delivering a high performance storage solution in the cloud today is as expensive. Our focus over the years, of taking these commodity components and comprising them into a high performance shared storage solution. We can do the same in the cloud. >> But I think the key is multi-cloud. >> Yeah, let's talk about that. >> The key is that there's not one size fits all, and it really is about creating this mobility between your on-prem data and public cloud number one, and then public cloud number two. One of the key concerns about moving a business critical application to a public cloud is lock in, right? And if you can create this infrastructure where you're decoupling that data services stack that the application relies on, from the underlying infrastructure, you get this mobility between clouds that becomes really attractive. >> So you're kind of answering the next question that was on my mind, of how are you selling that to customers. The fact that we're having this very robust discussion about this fundamental shift and you get it, because you're providing this service to your whole client base, but if I'm a client, my head's starting to spin a little bit, right? And I've got big decisions to make, so how do you sell that, that this is not a little shift, this is a fundamental way, the way you're going to do your business? >> So, in the simplest form, we tell the customers that we significantly lower the barrier of entry into the cloud. You don't need to re-architect everything, you don't need to be worried about performance management, or, control, or orchestrating resources; we do all that for you, and we do it in the same way that we did it for you in your own on-prem data center, and we can do it on any of the public clouds. So the barrier of entry, the risk of actually doing that transition- >> John: Is lowered. >> Is lowered significantly, and you can that on your own pace, in your own terms, and make some smart decisions later on about what needs to reside where over time. >> So, when we think about multi-cloud, we think about, "Okay, I'm going to have data on-prem, I might choose "Azure for my collaborative workloads, "I might put my dev stuff in AWS, "I might put some analytics in Google..." You know, whatever, my business is going to decide what to do, I'm not going to have this grand, multi-cloud strategy, it's just kind of going to happen. And then IT's going to be called in to clean up the crime scene! But we're envisioning this architecture that's shipping metadata, and maybe compute to the data, versus moving data. Do you agree with that, or do you see it differently? >> We see, I think, two types of customers. Some behave just as you describe, but some have a very specific decision not to be locked into single vendors. So they'll say, "I'll put one business unit on Google Cloud, "and put the other business unit on Azure. "I'll put this certain type of application on one cloud, "and the other type on the other cloud, "because I want to make sure that I am cloud agnostic. "I'm actually mandating with an organization that "I can run anywhere." >> As a hedge. >> As a hedge, as a definite hedge, because they are concerned about locking to either of the vendors, and in that sense, they later on make the decision, "Okay, where is the "core of the data? "Where is my mission critical data which always "has some gravity, and how do I make sure that it's in "the right place at the right time." >> Doesn't that add complexity for the client? I mean, if they've got a workload here, and here, and here, it'll be a lot easier if it was all here, or most of it were here. But that adds, I'm wondering if- >> You're absolutely right, but what we see is this rapid shift towards embracing the multi-cloud model. So let's take an example. You have a classic cloud scale application, and might have an active/active data centers in two parts of the United States, sort of serving up the production application. You have dev test requirements, so they want the ability to rapidly spin up an environment to mimic a problem or do some development. Public cloud's a great example for that. You have DR requirements, your back up requirements, they want to be backing up, they want the ability to rapidly spin up in instance, in a public cloud instance, and no matter what, within every organization somewhere, even in the most sophisticated IT organizations where they have tremendous control over the data centers, some C-level exec somewhere that says, "In five years, I'm 100% on public cloud. I want nothing." So you have to sort of service that element as well, and what we're doing is saying, "Listen, you can continue to focus on building out "a world class, next generation data center, "based on the NVMe, all NVMe fabric, "and still have the mobility to do certain things "in the cloud, and still have this path, "if it makes for your organization, "to migrate the entire thing to public cloud, "and not get locked in." They'd be able to sort of, surf the clouds as actually- >> So technically, that means you have to speak as your API, S3, whatever language of the cloud, and so I'm trying to understand, sort of, technically, what you have to do, and then where you add value, where you pick up from whatever, VMware or whomever else is trying to be the control plane. >> So then, that is exactly the point, and to address the question about what the complexity of this multi-cloud world, this is exactly where we see the rise of this next generation orchestration framework, either from VMware or from others, that strive to give you this uniform experience. So we deliver that at the data services layer, we connect that to the orchestration layer, that allows you do seamless workload abilities, seamless data mobility to wherever it makes sense for those applications or business workloads to run. And basically, the customers expect, to date, that we encapsulate all that complexity for them. They want to be able to put their Google, Amazon or Azure credentials , and then forget exactly where it went. And this is a lot of what's going on in the floor this week, and that's exactly where we connect to the rest of that orchestration scene within the data center or the public cloud. >> So, in that context, are you primarily, I know you sell to a lot of different people, but is it the cloud architect, or the architect that's actually determining that throughout the organization, or is it again, cleaning up the crime scene type of a thing? >> It's usually a conversation with that CIO, who's kind of, on that cloud journey, building his cloud strategy, and even if he made the decision to in five years be in the cloud, now the question is, "Okay, what's happening in the meantime? "How do I actually do that?" >> One of the cool things that's happening in the meantime is most of our customers are in just this perpetual state of data center consolidation, right? Most of these large SAAS companies, they're growing through acquisition, they've got nine data to data centers, they all have a plan within two or three years to be consolidated on three next generation data centers and then have cloud mobility. So what we're able to do, this is leveraging our software model as well, is say, "Listen, let's do an enterprise wide, "unified licensing scheme, "where you're paying on consumption, "based on actual data stored, "and then you can build the underlying infrastructure "wherever you want. "You can base it on your traditional infrastructure "you might already own, it might be on next generation "NVMe, NVMe over Fabrics connected data centers, "and then a piece of it now might be in the public cloud." >> So, you're talking CIO, Dave, you're talking CSI, I'm just little confused! (laughter) Gentlemen, thanks for the time, we appreciate it. Great discussion, and continued success downstairs and on down the road. >> Great to be here guys, thank you. >> All right, back with more VMWorld 2019, here on theCUBE. (futuristic techno music)

>> Announcer: Live from Las Vegas, it's theCUBE! Covering VMworld 2017! Brought to you by VMware and its ecosystem partners. (futuristic music) >> Welcome back everyone, we are live, here, in Las Vegas for VMworld 2017, I'm John Furrier, my cohost Dave Vellante, eighth year with theCUBE, proud to have two great guests, Josh Epstein, CMO of Kaminario and Eyal David, CTO of Kaminario, great to see you guys again! >> Likewise, great to be here! >> You guys had a great event in Boston recently, what's going on with you guys? Give me an update on the company. >> Sure, I'll go first. Kaminario's been around for awhile, but we've been, first of all, moved the headquarters over to east coast US, outside of Boston, Massachusetts, opened up a great new office space there. Got a lot going on from a product perspective, a lot going on from a go-to-market perspective, you see a lot happening in the all-flash space and the storage space in general, and just, really excited to take it to the next step. We see a lot of things happening here. >> It's a pretty big week this week. We saw Scott Dietzen from Pure Storage become the Chairman and Jean Carlo, ex-CISCO MNA guy from Silver Lake come in to be CEO, so Dave and I were speculating, All flash, a lot of, what's going on! A lot of people saying, woah, is it growing? Still a need for flash. What's the big hubbub about? >> So, we definitely see a change in the market, and the emergence of two different models. The way people used to buy storage, and the way next-generation application, cloud-scale application, software-to-servers, e-commerce, online businesses, need to buy storage. And their need for simplicity, performance and cost-efficiency at scale is still driving the need for flash storage, and we'll talk about this yet to come some more. >> And you guys see those as really distinct opportunities, is that right? Can you add some color to that, Josh? >> Yeah, I think that we see the flash space made up of two different markets, one is just the massive stocking function of traditional enterprise data centers, making the move en masse to flash. And there you have, obviously, the incumbent vendors with their flash solutions, you know. That's a dogfight, there's a lot of competition in there. There's this other market which we see growing more healthily, more organically, which is the growth of these cloud-scale applications. As Eyal said, flash provider, or, software-to-server providers, e-commerce providers, fintech, healthtech, these large, highly-scalable, database-driven cloud-scale applications. That means a different type of of scale, so that's where we see less competition from the incumbents and more opportunity -- >> What's different about that market, what's the requirement, what are they looking for that makes this a good engine for them? >> So one of the key requirements is agility and flexibility. One of the current characteristics is they don't really know what is going to be the next workload, how their workload is going to change in scale over time. So they need an infrastructure that can change and adapt to their needs, still deliver the same level of performance, still deliver the same level of simplicity. But have that flexibility to address their changing needs in capacity and performance, to address growth in customers, changing in workload application, without too much pre-planning. >> So I'd ask the question to you guys, I get this all the time. So since you guys are the gurus in the area. I get this question a lot, what is a modern data center? With all the action on private cloud happenings, true private cloud, they truly point out, people are re-tooling their data centers to operate like cloud, it's still on-premise. That's kind of the gateway to hypercloud, very clear. Public cloud, workloads, all bursting, that stuff's great. What's a modern architecture, what's a modern data center? When I hear that term, what do you guys mean? >> That's a great question. So the modern data center, or even the next generation data center is exactly that, one that allows enterprises to achieve the same levels of scalability, efficiency, as the hypercloud, but on-premise, or in a hybrid fashion. But it allows them to have that level of control against operation simplicity that's hard to come by, but on their own terms, adapting to their own needs. >> So without the need to build out a massive engineering team to build this from the ground up. >> So are the buyers different, are those two worlds coming together? I wonder if you could address that. >> Yeah, I think the buyers are, in fact, different. I think, now, you see a convergence over time as the classic enterprise data centers start to look more like a private cloud. But we see this growth in large-managed private cloud providers really exciting, and they come in different forms. You have the Telcos getting into the business, you have the outsourcers getting into the business, you have the traditional channel getting into the business. We have a great partnership with Vion, a big federal reseller, and using Kaminario as a flash service offering. And they start looking like a cloud provider, and they're thinking like a cloud provider. >> And what's the benefits then? Cause I was just looking at the gov cloud impact, I was just at the Amazon Public Sector Summit. Huge traction right now because it's so fast, you can get into the government cloud quickly. Why is that unique, why, as a service, and why are you guys really driving that? >> One, it fits with our architecture perfectly. But I think from a customer standpoint, the ability to procure, like, procuring from the cloud, but also to get the kind of services, you know, as people start re-engineering applications thinking about dev-ops, cloud-data-type applications, leveraging the same kind of utilities that they might get from an Amazon or an Ajer, from a managed private cloud provider, it becomes really important. >> And Al-fed ramp is there, you get all the federal information stuff going on around it. >> So I wonder how you deal with this problem, it's a relatively small company, you're up against the big guys, you say, it's like a rock fight. But you have an affinity to, let's say, SAS players. They like your product and it fits better with their vision. But then you have this big whale, saying, okay, I'm going to buy my HR software from, you know, some SAS provider, I'm going to do some, whatever, 70,000-person deployment, but, as a quid pro quo, you've got to buy my all-flash array. So you must see that all the time. When you peel back the covers, underneath that SAS provider, what do you really see? Like, they fence off, sort of, legacy-vendors' stuff, and they really drive in their core business with your modern platform? Or is it sort of just a mishmash? >> No, I think we're seeing a shift. I think what we're seeing is, some of the legacy architectures are running up against boundaries. Boundaries in terms of complexity, boundaries in terms of agility. Kaminario was built to scale from the get-go. It was built for performance and it was built for scale. And I think what we're seeing is, the main value of these SAS providers, as they're reaching scale, is the ability to deliver consistent performance, consistent cost-efficiency, and really, our predictability. The ability to sort of forecast in the future what cost structure's going to look like in order to continue to deliver high-performance to their own users. >> So the hypothetical example I gave, I'm sure you see it, but are you, you know, winning head-to-head in those environments, and your piece is growing, and that's sort of just a static one-time deal? >> That's exactly what we're seeing, so our main growth, our main focus is on these software-to-service companies or software-to-service departments within existing companies building these types of offerings to deliver this as a service consumption model. And you were asking about the back-end, in the back-end, these are often large-scale databases operating mixed types of workloads, for example, transaction processing, analytics, all at the same time. And the need to support these types of workloads requires an infrastructure that can deliver at-scale, consistent performance. And when we face off the legacy vendors in those environments, we win out. >> You have to be substantially better as a small company. You are, otherwise, you're out of business. >> Absolutely. >> And so, interesting thing about the flash market it, a lot of the big guys realized right away, wow, I'm way behind, so they went out and they bought a lot of startups. What happened, did they sort of pollute them, through the integration, or ... (laughing) >> I think the marketshare statistics are a little bit confusing, but what we see is, you know, the bulk of the legacy vendors, you know, push in what we call retro-fit flash, basically taking their old legacy architectures, their scale-up or scale-out architectures, and cramming flash into it, and basically, then, they don't bring the same kind of simplicity, same kind of agility, same kind of scalability as a built-for-flash-offering like Kaminario. >> Right, what about, you guys have some announcements this week? >> Yup, take that? >> Yeah, two weeks ago we announced our next-generation platform, K2.n, which is based on a fully-converged, NVIO mean over fabric back end. This is basically taking our core operating system, Vision OS, which is a mature and robust storage software stack with all the data services and enterprise features that enterprises need. And deliver it on an NVIO fabric backend which leverages the existing capability to aggregate capacity and compute, and take it to the next level, delivering a very scalable and agile storage cluster that allows you to mix and match different types of resources, to add and remove resources very dynamically, and make your data center responsive in minutes and not hours or days or even months. >> You guys are familiar with our service and research, and we're very excited about NVIO over fabric, because we've been talking about it since probably, maybe 2008, 2009, some type of ability to scale and to communicate, and that's here today, finally. How close are we to actually having a product in the field that I can actually deploy? >> We will actually be shipping this in Q1, the K2.N They added another layer on top of that, We also announced a new software platform called Kaminario Flex, which is a orchestration platform which rides on top of K2.N, and allows you to dynamically compose virtual arrays out of these NVME-connected resources. So I really take that, looking ahead, that the classic notion of a monolithic shared-storage array, is going to die over time. >> Well, here's the numbers. I mean, it's automatic, go ahead. >> Well no, this is the whole debate that we've been clearing up with the true, private cloud report. I mean, guys, no-brainer, check, as a service, as the future, so you're good there. (laughs) The true pilot board, too bad it shows the on-prem stuff is declining in general, that's settlement for buying boxes, and the old way of doing things. Labor's being automated away and shifted, that's pretty obvious. Enter your business model, right? I mean, this is perfect for any cloud deal. >> Right. >> The question is, track record, bulletproof, reliability, security, the table stays all shift, data protection, all these details, that's what they care. You guys check that box ... (laughing) >> So the disability takes vision away, so I'm going to take it to the next generation. Technology is what actually allows us to do that. Whether it's in a hypercloud or we're going into a managed cloud provider, that is becoming a very desired consumption model for a lot of the ads of service members, allows them to build such a flexible architecture, based on a mature software step. >> So you guys, really, from what I see is your strategy is, get this out there quickly from a tech standpoint, software, flex, and integration with cloud is critical. Because you can offload a lot of that heavy lifting on those unique requirements to the cloud guys, where the pre-existing tech exists. Did I get that right? >> Yeah and I think what we see is these managed cloud providers are going to want to have a say in it, they want to actually be part of the evolution of the platform, right? >> Yeah, go ahead, fine, it's your stop! You can always buy the servers more flash! (laughing) >> So talk about your channel, and you go to market, help us understand that a little bit better. >> Yeah, I think it's all about focus for Kaminario. I mean, let's face it, the flash space is competitive, right, if we're going to go head-to-head with everyone, kind of, pull one of these growth-at-all-cost models. And you see what the market values those types of companies. So we've been really focused in two ways. One, SAS providers, next-generation business. I mean, if we opportunistically find a VDI deal, okay, that's great, we have a great solution for VDI, but it's not something that we're going to go out and hunting day to day. The second is really to focus on channel partners. We've got a channel first model, really, effectively 100% of our new business in 2017 will come through a channel partner. Most of those channel partners are looking at developing some type of managed services offering as well, so you know, it's not just about the margin on the deal, it's about the longterm -- >> Cause they're trying to respond to the market transit and value. >> Exactly, so it's about focus on a relatively small number of channel partners that get it, that like our model, and again, it's just -- >> Hey, you'll make money from it, cause that's all, at the end of the day, you've got to get that leverage, because that's your David and Goliath story. >> Exactly, yeah. >> And, global footprint? Is it primarily US and Europe or -- >> Yeah, so it's been, we started in Israel, US has been a good focus, last year we opened up the UK and France, end of the great we opened up Korea, we're now in Singapore, we're moving into China through partners, and so yeah, this is a global story. Clearly, US is the, in terms of adoption of these server infrastructures, US is really the furthest ahead, but it's a global phenomenon. >> What do you make of the VMwear momentum? Because two years ago, VMwear was, the stock was sort of in the tank and there was no growth, and now it's on fire, the data center's on fire, you can't get data center space! (laughing) >> From my perspective, the fast adoption that VMwear had for new technologies, for adopting containers, for adopting cloud paradigms, for adopting this new delivery model, and enabling a fuller stack aligns very well with the kind of demands of the next-generation data system we talked about, where the management plane, the orchestration plane, is becoming more and more important in optimizing the way in this infrastructure gets delivered. So that's, I believe, what is driving that forward. >> Josh and Elay, thanks so much for coming out, coming our way, you guys, company watch, love the business model. The tech comes home, you get it with that integration, man there's not a leverage there, congratulations on your success! (laughing) Great business. TheCUBE bringing you the CUBE as a service, all flash content here! Back with more VMworld coverage after this short break. (futuristic music)

>> Narrator: From theCube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCube Conversation. >> Hey, welcome back, everybody. Jeff Frick here with theCube. We're still on our Palo Alto studios, we're still getting through COVID and we're still doing all of our remotes, all of our interviews via remote and I'm really excited to have a guest we had around a long time ago. I looked it up is 2016, April 2016. She's Coco Brown, the founder and CEO of the Athena Alliance. Coco, it's great to see you. >> It's great to see you as well. We actually formally started in April of 2016. >> I know, I saw, I noticed that on LinkedIn. So we were at the Girls in Tech Catalyst Conference in Phoenix, I remembers was a really cool conference, met a ton of people, a lot of them have turned out that are on your board. So yeah, and you formally on LinkedIn, it says you started in May. So that was right at the very, very beginning. >> Yeah, that's right. >> So for people that aren't familiar with the at the Athena Alliance give them the quick overview. >> Okay. Well, it's a little different that it was four years ago. So Athena first and foremost is a digital platform. So you literally log in to Athena. And we're a combination of community access to opportunity and learning. And so you can kind of envision it a little bit like a walled garden around the LinkedIn, meets Khan Academy for senior executives, meets Hollywood agency for women trying to get into the boardroom and senior level roles in the c-suite as advisors, et cetera. And then the way that we operate is you can have a self-service experience of Athena, you can have a concierge experience with Athena with real humans in the loop making key connections for you and you can add accelerators where we build brand packages and BIOS and give you executive coaching. So... >> Wow. >> Kind of a... >> You've built out your services portfolio over the last several years. But still the focus >> yes, we have. is boards, right? Still the focus is getting women on public boards, or is that no longer still the focus? >> No, that's a big piece of it for sure. I mean, one of the things that we discovered, that was the very first mission of Athena, was to bring more women into the boardroom. And as we were doing that we discovered that once you get into a senior realm of leadership in general, there's more things that you want to do than just get into the boardroom. Some of it may be wanting to be an investor or an LP in a fund or become a CEO, or certainly join outside boards but also be relevant to your own inside board. And so we started to look at Athena as a more holistic experience for senior leaders who are attempting to make sure that they are the best they can be in this very senior realm of overarching stewardship of business. >> Awesome. and have you seen, so obviously your your focus shifted 'cause you needed to add more services based on the demand from the customers. But have you seen the receptiveness to women board members change over the last four years? How have you seen kind of the marketplace change? >> Yeah, it's changed a lot, I would say. First of all I think laws like the California law and Goldman Sachs coming out saying they won't take companies public unless they have diverse board data. The statements by big entities that people are paying attention to made the boardroom dynamics a conversation around the dinner table in general. So it became more of a common conversation and common interest as opposed to just the interest of a few people who are trying to get in there. And so that's created a lot of momentum as well as sort of thoughtfulness from leaders and from employees and from larger stakeholders to say the diversity at the top business has to mimic the demographics of society as a whole. And that's become a little bit more accepted as opposed to grudgingly sort of taken in. >> Right. So one of the big problems always it's like the VC problem, right? Is the whole matchmaking problem. How do you, how do qualified people find qualified opportunities? And I wonder if you can speak a little bit as to how that process has evolved, how are you really helping because there's always people that are looking for quality candidates, and there's great quality candidates out there that just don't know where to go. How are you helping bridge kind of that kind of basic matchmaking function? >> Yeah. I mean, there's a couple of different ways to go about it. One is certainly to understand and have real connections into the parts of the leadership ecosystem that influences or makes the decision as to who sits around that table. So that would be communities of CEOs, it's communities of existing board directors, it's venture capital firms, its private equity firms, and as you get really entrenched in those organizations and those ecosystems, you become part of that ecosystem and you become what they turn to to say, "Hey, do you know somebody?" Because it still is a "who do yo know" approach at the senior most levels. So that's one way. The other mechanism is really for individuals who are looking for board seats who want to be on boards to actually be thinking about how they proactively navigate their way to the kinds of boards that they would fit to. I like in a very much to the way our children go after the schools that they might want to when it's time for university. You'll figure out who your safeties, your matches, your reaches are, and figure out how you're going to take six degrees of separation and turn them into one through connections. So those are that's another way to go about it. >> You know, it's interesting, I talked to Beth Stewart from True Star, they also help place women on boards. And one of the issues is just the turnover. And I asked that just straight up, are there formal mechanisms to make sure that people who've been doing business from way before there were things like email and the internet eventually get swapped out. And she said, that's actually a big part of the problem is there isn't really a formal way to keep things fresh and to kind of rotate the incumbents out to enable somebody who's new and maybe has a different point of view to come in. So I'm curious when someone is targeting their A-list and B-list and C-lists, how do they factor in kind of the age of the board composition of the existing board, to really look for where there's these opportunities where a spot opens up, 'cause if there's not a spot open up clearly, there's really not much opportunity there. >> Yeah, I mean, you have to look at the whole ecosystem, right? I mean, there's anything from let's say series A, venture backed private companies all the way up to the mega cap companies, right? And there's this continuum. And it's not, there's not one universal answer to what you're talking about. So for example, if you're talking about smaller private companies, you're competing against, not somebody giving up their seat, but whether or not the company feels real motivation to fill that particular independent director seat. So the biggest competition is often that that seat goes unfilled. When you're talking about public companies, the biggest competition is really the fact that as my friend Adam Epstein of the small cap Institute will tell you, that 80% of public companies are actually small cap companies. And they don't have the same kinds of pressures that large caps do to have turnover. But yeah, it takes a big piece of the challenge is really boards having the disposition collectively to see the board as a competitive advantage for the business as a very necessary and productive piece of the business and when they see that then they take more proactive measures to make sure they have a evolving and strong board that does turnover as it needs to. >> Right. So I'm curious when you're talking to the high power women, right, who are in operational roles probably most of the time, how do you help coach them, how should they be thinking, what do they have to do different when they want to kind of add board seats to their portfolio? Very different kind of a role than an operational role, very different kind of concerns and day to day tasks. So, and clearly, you've added a whole bunch of extra things to your portfolio. So how do you help people, what do you tell women who say, "Okay, I've been successful, "I'm like successful executive, "but now I want to do this other thing, "I want to take this next step in my career"? What usually the gaps and what are the things that they need to do to prepare for that? >> Well, I'm going to circle in then land a little bit. Autodesk was actually a really great partner to us back when you and I first met. They had a couple of women at the top of the organization that were part of Athena, specifically because they wanted to join boards. They are on boards now, Lisa Campbell, Amy Bunszel, Debbie Clifford. And what they told us is they were experiencing everything that we were offering in terms of developing them, helping them to position themselves, understand themselves, navigate their way, was that they simply became better leaders as a result of focusing on themselves as that next level up, irrespective of the fact that it took them two to three years to land that seat. They became stronger in their executive role in general and better able to communicate and engage with their own boards. So I think, now I'm landing, the thing that I would say about that is don't wait until you're thinking oh, I want to join a board, to do the work to get yourself into that ecosystem, into that atmosphere and into that mindset, because the sooner you do that as an executive, the better you will be in that atmosphere, the more prepared you will be. And you also have to recognize that it will take time. >> Right. And the how has COVID impacted it, I mean, on one hand, meeting somebody for coffee and having a face to face is a really important part of getting to know someone and a big part of I'm sure, what was the recruitment process, and do you know someone, yeah, let's go meet for a cup of coffee or dinner or whatever. Can't do that anymore, but we can all meet this way, we can all get on virtually and so in some ways, it's probably an enabler, which before you could grab an hour or you didn't have to fly cross-country or somebody didn't have to fly cross-country. So I'm kind of curious in this new reality, which is going to continue for some time. How has that impacted kind of people's ability to discover and get to know and build trust for these very very senior positions. >> HBR just came out with a really great article about the virtual board meeting. I don't know if you saw it but I can send you a link. I think that what I'm learning from board directors in general and leaders in general is that yes, there's things that make it difficult to engage remotely, but there's also a lot of benefit to being able to get comfortable with the virtual world. So it's certainly, particularly with COVID, with racial equity issues, with the uncertain economy, boards are having to meet more often and they're having, some are having weekly stand ups and those are facilitated by getting more and more comfortable with being virtual. And I think they're realizing that you don't have to press flesh, as they say, to actually build intimacy and real connection. And that's been a hold up, but I think as the top leadership gets to understand that and feel that for themselves, it becomes easier for them to adopt it throughout the organization that the virtual world is one we can really embrace, not just for a period of time. >> It's funny we had John Chambers on early on in this whole process, really talking about leadership and leading through transition. And he used the example, I think had been that day or maybe a couple days off from our interview where they had a board meeting, I think they were talking about some hamburger restaurant, and so they just delivered hamburgers to everybody's office and they had the board meeting. But that's really progressive for a board to actually be doing weekly stand ups. That really shows a pretty transformative way to manage the business and kind of what we think is the stodgy old traditional get together now and then, fly and then get some minutes and fly out, that's super progressive. >> Yeah. I mean, I was on three different board meetings this week with a company I'm on the board of in Minnesota. And we haven't seen each other in person in, I guess since January. (woman laughs) >> So final tips for women that want to make this this move, who, they've got some breathing space, they're not homeschooling the kids all day while they're trying to get their job done and trying to save their own business, but have some cycles and the capabilities. What do you tell them, where should they begin, how should they start thinking about, kind of taking on this additional responsibility and really professional growth in their life? >> Well, I mean, I think something very important for all of us to think about with regard to board service and in general as we get into a very senior level point in our careers at a managing and impact portfolio. People get into a senior point and they don't just want to be an executive for one company, they want to have a variety of ways that they're delivering impact, whether it's as an investor or as a board member or as other things as well as being an operator. And I think the misnomer is that people believe that you have to add them up and they, one plus one plus one equals three, and it's just not true. The truth is that when you add a board seat, when you add that other thing that you're doing it makes you better as a leader in general. Every board meeting I have with [Indistinct] gives me more than I bring back to Athena as an example. And so I think we tend to think of not being able to take on one more thing and I say that we all have a little more space than we think we have to take on the things we want to do. >> Right? That's a good message to me. It is often said if you want to get something done, give it to the busiest person in the room. It's more likely to get it done 'cause you got to be efficient and you just have that kind of get it done attitude. >> That's right. >> All right, Coco. Well, thank you for sharing your thoughts. >> Congratulations, so I guess it's your four year anniversary, five year anniversary [Indistinct] about right? >> Yes, four. >> That's terrific. And we look forward to continuing to watch the growth and hopefully checking in face to face at some point in the not too distant future. >> I would like that. >> All right. Thanks a lot Coco. >> Great talking to you. >> Already. >> She's Coco, I'm Jeff. You're watching theCube. Thanks for watching, we'll see you next time. (upbeat music)

>> From our studios in the heart of Silicon Valley. HOLLOWAY ALTO, California It is a cube conversation. >> Hello and welcome to Cube conversations. I'm James Kabila's lead analyst at Wicked Bond. Today we've got an excellent guest. Who's a Cube alumnus? Par excellence. It's your own Haviv who is the founder and CEO of a guajillo. Hello. You're wrong. Welcome in. I think you're you're coming in from Tel Aviv. If I'm not mistaken, >> right? Really? Close the deal of any thanks from my seeing you again. >> Yeah. Nice to see you again. So I'm here in our Palo Alto studios. And so I'm always excited when I can hear your own and meet with your room because he always has something interesting in new to share. But what they're doing in the areas of cloud and serve earless and really time streaming analytics And now, data science. I wasn't aware of how deeply they're involved in the whole data Science pipelines, so ah, your own. This is great to have you. So my first question really is. Can you sketch out? What are the emerging marketplace requirements that USA gua Si are seeing in the convergence of all these spaces? Especially riel time streaming analytics edge computing server lis and data science and A I can you give us a sort of ah broad perspective and outlook on the convergence and really the new opportunities or possibilities that the convergence of those technologies enable for enterprises that are making deep investments. >> Yeah, so I think we were serving dissipated. What's happening now? We just call them different names will probably get into into this discussion in a minute. I think what you see is the traditional analytics and even data scientist Science was starting at sort of a research labs, people exploring cancer, expressing, you know, impact. Whether on, you know, people's moved its era. And now people are trying to make real or a Y from a guy in their assigned, so they have to plug it within business applications. Okay, so it's not just a veil. A scientist Inning the silo, you know, with a bunch of large that he got from his friends, the data engineer in the scan them and Derrickson Namesake runs to the boss and says, You know what? You know, we could have made some money in a year ago. We've done something so that doesn't make a lot of impact on the business, where the impact on the business is happening is when you actually integrate a I in jackpot in recommendation engines in doing predictive analytics on analyzing failures and saving saving failures on, you know, saving people's life. Those kind of use cases. Doctors are the ones that record a tighter integration between the application and the data and algorithms that come from the day I. And that's where we started to think about our platform. Way worked on a real time data, which is where you know, when you're going into more production environment of not fatal accident. Very good, very fast integration with data. And we have this sort of fast computation layer, which was a one micro services, and now everyone talks about micro services. We sort of started with this area, and that is allowing people to build those intelligent application that are integrated into the business applications. And the biggest challenges they see today for organizations is moving from this process of books on research, on data in a historical data and translating that into a visit supplication or into impact on business application. This is where people can spend the year. You know, I've seen the tweet saying with build a machine learning model in, like, a few weeks. And now we've waited eleven months for the product ization. So that artifact, >> Yes, that's what we're seeing it wicked bomb. Which is that A. I is the heart of modern applications in business and the new generation of application developers, in many ways, our data scientists, or have you know, lovers the skills and tools for data science. Now, looking at a glass zeros portfolio, you evolve so rapidly and to address a broader range of use cases I've seen. And you've explained it over the years that in position to go, as well as being a continuous data platform and intelligent edge platform, a surveillance platform. And now I see that you're a bit of a data science workbench or pipeline tooling. Clever. Could you connect these dots here on explain what is a guajillo fully >> role, Earl? Nice mark things for this in technology that we've built, OK, just over the years, you know, people, four years when we started, So we have to call it something else. Well, that I thought that analytic sort of the corporate state of science. And when we said continued analytics, we meant essentially feeding data and running, some of them speaking some results. This is the service opposed to the trend of truth which was dating the lady Throw data in and then you run the batch that analytic and they're like, Do you have some insight? So continue statistics was served a term that we've came up with a B, not the basket. You know, describe that you're essentially thinking, needing from different forces crunching it, Prue algorithms and generating triggers and actions are responsible user requests. Okay on that will serve a pretty unique and serve the fireman here in this industry even before they called it streaming or in a real time, data science or whatever. Now, if you look at our architecture are architecture, as I explained before, is comprised of three components. The first event is a real time, full time model database. You know, you know about it really exceptional in his performance and its other capabilities. The second thing is a pursue miss engine that allows us to essentially inject applications. Various guys, initially we started with application. I sense you do analytics, you know, grouping joining, you know, correlating. And then we start just adding more functions and other things like inference, saying humans recognitions and analysis. It's Arab is we have dysfunction engine. It allows us a lot of flexibility and find the really fast for the engine on a really fast data there endure it, remarkable results and then this return calling this turn this micro assume it's finger serve Ellis who certainly even where have the game of this or service gang. And the third element of our platform is a sense she having a fully manage, passed a platform where a ll those micro services our data and it threw a self service into face surfing over there is a mini cloud. You know, we've recently the last two years we've shifted to working with coronaries versus using our own A proprietary micro spurs does or frustration originally. So we went into all those three major technologies. Now, those pit into different application when they're interesting application. If you think about edge in the engine in serving many clouds, you need variety of data, sources and databases. With you, no problem arose streaming files. Terra. We'LL support all of them when our integrated the platform and then you need to go micro services that developed in the cloud and then just sort of shift into the enforcement point in the edge. And you need for an orchestration there because you want to do suffer upgrades, you need to protect security. So having all the integrated separated an opportunity for us to work with providers of agin, you may have noticed our joint announcement with Google around solution for hedge around retailers and an i O. T. We've made some announcement with Microsoft in the fast. We're going to do some very interesting announcement very soon. We've made some joint that nonsense with Samsung and in video, all around those errands, we continue. It's not that we're limited to EJ just what happens because we have extremely high density data platform, very power of fish and very well integrated. It has a great feat in the India, but it's also the same platform that we sell in. The cloud is a service or we sell two on from customers s so they can run. The same things is in the clouds, which happens to be the fastest, most real time platform on the Advantage service. An essential feature cannot just ignore. >> So you're wrong. Europe. Yeah, Iguazu is a complete cloud, native development and run time platform. Now serve earless in many ways. Seems to be the core of your capability in your platform. New Cleo, which is your technology you've open sourced. It's bill for Prem bays to private clouds. But also it has is extensible to be usable in broader hybrid cloud scenarios. Now, give us a sense for how nuclear and civilised functions become valuable or useful for data science off or for executing services or functions of data of the data science pipeline kick you connect the dots of nuclear and data science and a I from the development standpoint >> church. So So I think you know, the two pillars that we have technology that the most important ones are the data. You know, we have things like twelve batons on our data engine is very high performance and nuclear functions, and also they're very well integrated because usually services stateless. So you know, you you end up. If you want to practice that they have some challenges with service with No, no, you can't. You stay for use cases. You can mount files. You have real time connections to data, so that makes it a lot more interesting than just along the functions. The other thing, with no clothes that is extremely high performance has about two hundred times faster than land. So that means that you can actually go and build things like the stream processing and joins in real time all over practice, their base activities. You can just go and do collectors. We call them those like things. Go fetch information from whether services from routers for the X cybersecurity analysis for all sorts of sensors. So those functions are becoming like, you know, those nanobots technology of off the movies is that you just send them over to go and do things for you, whether it's the daily collection and crunching, whether it's the influencing engines, those things that, for example, get a picture of very put the model, decide what's in the picture, and that this is where we're really comes into play. They nothing important you see now an emergence off a service patterns in data science. So there are many companies that do like mother influencing as a service city what they do, they launch an end point of your eleven point and serve runs the model inside you send the Vector America values and get back in the Americans and their conversion. It's not really different and service it just wait more limited because I don't just want to send a vector off numbers because usually I understand really like a geo location of my cellphone, which are user I D. And I need dysfunction to cross correlated with other information about myself with the location. Then came commendation of which a product they need to buy. So and then those functions also have all sorts of dependency exam on different packages. Different software environment, horribles, build structures, all those. This is really where service technologies are much more suitable now. It's interesting that if you'LL go to Amazon, they have a product called Sage Maker. I'm sure yes, which is dinner, then a science block. Okay, now sage mint for although you would say that's a deal use case for after Onda functions actually don't use Amazon London functions in sage maker, and you ask yourself, Why aren't they using Lambda Stage Maker just telling you, you know you could use Lambda is a blue logic around sage maker. And that's because because London doesn't feed the use case. Okay, because lambda doesn't it is not capable of storing large content and she learning miles could be hundreds of megabytes or Landa is extremely slow. So you cannot do hi concurrency influencing with will land the function so essentially had to create another surveillance and college with a different name. Although if they just would have approved Landa, maybe it was one or a Swiss are So we're looking, We've took it, were taken the other approach We don't have the resources that I have so we created a monster virus Engine one servant attention does batch Frost is saying scream processing, consort, lots of data, even rocketeer services to all the different computation pattern with a single engine. And that's when you started taking all this trend because that's about yeah, we need two version our code. We need to, you know, record all our back into dependencies. And although yes, service doesn't so if we just had to go and tied more into the existing frameworks and you've looked at our frantically product called Tokyo Jupiter, which is essentially a scientist, right, some code in his data's passport book and then in clicks. One command called nuclear Deploy, it automatically compiles, is their science artifact in notebooks, that server and converted into a real hand function that can listen in on your next city. People can listen on streams and keep the scheduled on various timing. It could do magic. So many other things. So, and the interesting point is that if you think about their scientists there, not the farmers, because they should be a scientist on this's means that they actually have a bigger barrier to write in code. So if you serve in this framework that also automates the law daughter scaling the security provisioning of data, the versions of everything in fact fantasies, they just need to focus on writing other them's. It's actually a bigger back for the book. Now, if you just take service into them, Epstein's and they will tell you, Yeah, you know, we know how to explain, Doctor. We know all those things, so they're very their eyes is smaller than the value in the eyes of their scientists. So that's why we're actually seeing this appeal that those those people that essentially focus in life trying math and algorithms and all sorts of those sophisticated things they don't want to deal with. Coding and maintenance are refreshed. And by also doing so by oppression analyzing their cool for service, you can come back to market. You can address calle ability to avoid rewriting of code. All those big challenges the organizations are facing. >> You're gonna have to ask you, that's great. You have the tools to build, uh, help customers build serve Ellis functions for and so forth inside of Jupiter notebooks. And you mentioned Sage Maker, which is in a WS solution, which is up in coming in terms of supporting a full data science tool chain for pipeline development. You know, among teams you have a high profile partnerships with Microsoft and Google and Silver. Do you incorporate or integrator support either of these cloud providers own data science workbench offerings or third party offerings from? There's dozens of others in this space. What are you doing in terms of partnerships in that area? >> Yeah, obviously we don't want to lock us out from any of those, and, you know, if someone already has his work bench that I don't know my customers say they were locking me into your world back in our work when things are really cool because like our Jupiter is connected for real time connections to the database. And yes, serve other cool features that sentir getting like a huge speed boost we have. But that's on A with an within vigna of round Heads and Integration, which reviews are creating a pool of abuse from each of one of the data scientist running on African essentially launch clubs on this full of civilians whose off owning the abuse, which are extremely expensive, is you? No. But what we've done is because of her. The technology beside the actual debate engine is open source. We can accept it essentially just going any sold packages. And we demonstrate that to Google in danger. The others we can essentially got just go and load a bunch of packages into their work match and make it very proposed to what we provide in our manage platform. You know, not with the same performance levels. Well, functionality wise, the same function. >> So how can you name some reference customers that air using a guajillo inside a high performance data science work flows is ah, are you Are there you just testing the waters in that market for your technology? Your technology's already fairly mature. >> That says, I told you before, although you know, sort of changed messaging along the lines. We always did the same thing. So when we were continuous analytics and we've spoken like a year or two ago both some news cases that we Iran like, you know, tell cooperators and running really time, you know, health, a predictive health, monitoring their networks and or killing birds and those kind of things they all use algorithms. You control those those positions. We worked with Brian nailing customers so we can feed a lot of there there in real time maps and do from detection. And another applications are on all those things that we've noticed that all of the use cases that we're working with involved in a science in some cases, by the way, because of sort of politics that with once we've said, we have analytics for continuous analytics, we were serving send into sent into the analytic schools with the organization, which more focused on survey data warehouse because I know the case is still serve. They were saying, and I do. And after the people that build up can serve those data science applications and serve real time. Aye, aye. OK, Ianto. Business applications or more, the development and business people. This is also why we sort of change are our name, because we wanted to make it very clear that we're aren't the carnage is about building a new applications. It's not about the warehousing or faster queries. On a day of Eros is about generating value to the business, if you ask it a specific amplification. And we just announced two weeks in the investment off Samsung in Iguazu, former that essentially has two pillars beyond getting a few million dollars, It says. One thing is that they're adopted. No cure. Is there a service for the internal clouds on the second one is, we're working with them on a bunch of us, Della sighs. Well, use case is one of them was even quoted in enough would make would be There are no I can not say, but says she knows our real business application is really a history of those that involves, you know, in in intercepting data from your sister's customers, doing real time on analytics and responding really quickly. One thing that we've announced it because of youse off nuclear sub picture. We're done with inferior we actually what were pulled their performance. >> You're onto you see if you see a fair number of customers embedding machine learning inside of Realtor time Streaming stream computing back ones. This is the week of Flink forward here in San San Francisco. I I was at the event earlier this week and I I saw the least. They're presenting a fair amount of uptake of ml in sight of stream computing. Do you see that as being a coming meet Mainstream best practice. >> Streaming is still the analytics bucket. OK, because what we're looking for is a weakness which are more interactive, you know, think about like, uh, like a chatterbox or like doing a predictive analytic. It's all about streaming. Streaming is still, you know, it's faster flow data, but it's still, sir has delay the social. It's not responses, you know. It's not the aspect of legacy. Is that pickle in streaming? Okay, the aspect of throughput is is higher on streaming, but not necessarily the response that I think about sparks streaming. You know, it's good at crossing a lot of data. It's definitely not good at three to one on would put spark as a way to respond to user request on the Internet S O. We're doing screaming, and we see that growth. But think where we see the real growth is panic to reel of inches. The ones with the customer logs in and sends a request or working with telcos on scenarios where conditions of LA car, if the on the tracks and they settled all sorts of information are a real time invent train. Then the customer closer says, I need a second box and they could say No, this guy needs to go away to that customer because how many times you've gotten technician coming to your house and said I don't have that more exactly. You know, they have to send a different guy. So they were. How do you impact the business on three pillars of business? Okay, the three pillars are one is essentially improving your china Reducing the risk is essentially reducing your calls. Ask him. The other one is essentially audio, rap or customer from a more successful. So this is around front and application and whether it's box or are doing, you know our thing or those kind of us kisses. And also under you grow your market, which is a together on a recommendation in at this time. So all those fit you if you want, have hey, I incorporated in your business applications. In few years you're probably gonna be dead. I don't see any bits of sustained competition without incorporating so ability to integrate really real data with some customer data and essentially go and react >> changes. Something slightly you mentioned in video as a partner recently, Of course, he announced that few weeks ago. At their event on, they have recently acquired Melon ox, and I believe you used to be with Melon Axe, so I'd like to get your commentary on that acquisition or merger. >> Right? Yes, yes, I was VP Data Center man Ox. Like my last job, I feel good friends off off the Guider, including the CEO and the rest of the team with medicines. And last week I was in Israel's with talk to the media. Kansas. Well, I think it's a great merger if you think about men in Ox Head as sort of the best that breaking and storage technology answer Silicon Side and the video has the best view technologies, man. It's also acquired some compute cheap technologies, and they also very, very nice. Photonics technologies and men are today's being by all the club providers. Remiss Troll was essentially only those technical engagement would like the seizures and you know the rest of the gas. So now VP running with the computation engine in and minerals coming, we serve the rest of the pieces were our storage and make them a very strong player. And I think it's our threatens intel because think about it until they haven't really managed to high speed networking recently. They haven't really managed to come with Jiffy use at your combat and big technology, and so I think that makes a video, sort of Ah, pretty. You know, vendor and suspect. >> And another question is not related to that. But you're in Tel Aviv, Israel. And of course, Israel is famous for the start ups in the areas of machine learning. And so, especially with a focus on cyber security of the Israel, is like near the top of the world in terms of just the amount of brainpower focused on cyber security there. What are the hot ML machine? Learning related developments or innovations you see, coming out of Israel recently related to cybersecurity and distributed cloud environments, anything in terms of just basic are indeed technology that we should all be aware of that will be finding its way into mainstream Cloud and Cooper Netease and civilised environments. Going forward, your thoughts. >> Yes, I think there are different areas, you know, The guys in Israel also look at what happens in sort of the U. S. And their place in all the different things. I think with what's unique about us is a small country is always trying to think outside of the box because we know we cannot compete in a very large market. It would not have innovation. So that's what triggers this ten of innovation part because of all this tippy expects in the country. And also there's a lot of cyber, you know, it's time. I think I've seen one cool startup. There's also backed by our VC selling. Serve, uh, think about like face un recognition, critical technology off sent you a picture and make it such that you machine learning will not be able to recognize Recognize that, you know, sort of out of the cyber attack for image recognition. So that's something pretty unique that I've heard. But there are other starts working on all the aspects on their ops and information in our animal and also cyber automated cyber security and hope. Curious aspect. >> Right, Right. Thank you very much. Your own. This has been an excellent conversation, and we've really enjoyed hearing your comments. And Iguazu. It was a great company. Quite quite an innovator is always a pleasure to have you on the Cube. With that, I'm going to sign off. This is James Kabila's with wicked bond with your own haviv on dh er we bid You all have a good day. >> Thank you.

>> Announcer: Live from Las Vegas, it's theCUBE, covering Veritas Vision 2017. Brought to you by Veritas. (rippling music) >> Welcome back to The Aria in Las Vegas, everybody. This is theCUBE, the leader in live tech coverage. We go out to the events and extract the signal from the noise. My name is Dave Vellante, I'm here with Stuart Miniman, who's my cohost for the week. Bob Swanson is here, he's the head of sales for dcVAST out of Chicago. Bob, thanks for coming on theCUBE! >> Thanks for having me, guys. >> So, well first of all, the show, how's it going for you? We've now got enough data, it's been a couple of days, a few days perhaps for you. What's the vibe like, what are the conversations like? >> Yeah, it's been a great week. This is the very tail end of the event, so a little exhausted. But it's been exciting, there's been a good buzz at the event and we get a lot of our customers here, and just kind of seeing the buzz and the pace of innovation that's goin on here with Veritas, you know, it has been exciting. >> Tell us more about dcVAST. You're focused on IT infrastructure services, but dig a little deeper. Right, yep, so we're headquartered in Chicago, Illinois, and you're right, we do infrastructure and cloud services. So we do support-type services with a seven by 24 call center, have different managed service offerings, different cloud offerings, and certainly do consulting and project work as well. >> Yeah, and Bob, so what does multi-cloud mean to your customers? (chuckles) >> It's only natural that if they're not there today, then they're going to be multi-cloud at some point. So, Veritas here is pretty uniquely positioned. to be able to get customers there. It's all about flexibility and data portability. So, I think where infrastructure and storage and data protection is sometimes not that exciting of a conversation, now kind of changing the conversation, the data management, 'cause everybody needs their data to become more productive for them. It changes the conversation, has a little more sizzle. >> Okay, but you know, your primary area of focus is infrastructure services, so that means first and foremost, every year you got to help me lower my costs, right, you've been hearing that, I'm sure, for years, and help me improve my operational efficiency. And you do that, and really attack my labor problem, IT labor problem so I can focus on my business, right? Are those still the big overriding themes? Oh, yeah, there's no question. I mean, I think the public cloud has been probably the most disruptive thing in our space since the internet. And it's making customers re-evaluate all cost and really how they're doing things, and different consumption and financial models. So, the technology is cool, and we like that conversation, but it naturally brings a big financial and cost savings, and do-more-with-less element to all the conversations. >> So what are the big trends that you're seeing in marketplace, what are the conversations like with your customers? >> Yeah, and I'll give you an example. I think customers have different approaches to cloud, right, some cloud-first, everything's got to go. Others maybe want to keep more of their workloads on premise. And in one customer example, where they said, hey, we want to move all non-production out to the cloud and it was a single cloud provider. And they got about 40% of what they were looking to move out there and they reached what they thought their estimated budget was going to be. So at that point, having that portability and having the tool sets to be able to move those workloads around becomes very important from a financial standpoint. >> So, I wonder if we can unpack those. Cloud first, and then these other guys on-prem. The motivation for cloud first, and the type of company. Do they tend to be a smaller companies, or do you see larger companies saying hey, we're going all in? I mean, you've seen some stories in the press, you know, large company, GE's going all to the cloud, okay I'm sure there's still a lot of on-prem going on there. What do you see? >> Yeah, you're right. A lot of small business is certainly, it makes sense for them, any startups too are pretty much born in the cloud now. You're not going to have too many financial backers that are going to want a startup to be spending too much money on data center, or buying hardware. But the established large enterprises, too, are kind of all over the map, but there are already some of them that are taking this cloud first approach. But, the large enterprises and companies that have been around, where it's not kind of a clean slate, naturally it's going to be hybrid and ultimately there's probably a lot of predictable static workloads that are, at the end of the day, going to be cheaper to run on-prem than they are out in the public cloud. Public cloud's great for the stuff that's not predictable, or is very dynamic, so we're seeing, and I am from Chicago and so we say the coasts move faster, maybe, than the Midwest does as well, but we're seeing varying degrees of adoption and strategy. >> But the business in the data center's good right now, I mean, the market's sort of booming, but if you roll back a few years, you guys must have thought, and maybe you're still thinking it, okay, see this cloud that's coming. Like you said, it's one of the most disruptive, if not the most disruptive in a while, and it's aiming right at the heart of your business, infrastructure services. So how have you responded to that, you must be riding the wave now of data center growth and investment, but strategically, what are you thinking about in your firm? >> Yeah, I mean, there's no question. We've had to pivot. But it does create opportunity. And we do need to help our customers be able to be most cost-effectively managing their workload, right, helping them with that. So where there's challenge and change, there's certainly inopportunity. And we've seen it. >> So, but my understanding, your firm also offers managed cloud offerings. That's been one of the things we've looked at is the channel, can they get on board, can they offer that, how is it working with the big cloud providers, and yeah, let's start there. >> Yeah, that's a good question, and a lot of people have a misperception that the cloud is kind of the easy button. (laughter) But at the end of the day-- >> Stu: Maybe 10 years ago we thought that-- >> Dave: You have your hoodie. >> Right, but I mean, people need to realize the same architecture and security considerations are there as they are for on-premise, so it's not the easy button, and you can just kind of set it and forget it. So some people that are underestimating that still need help from a third party like ourselves to be able to help them manage it. >> Could you speak about the maturation of your support services? >> Yeah, we started doing a lot of hardware support years ago when the business was founded in 1989. And at that time, it was a lot of Unix-based engineering workstations and kind of morphed into servers and storage and other data center equipment, and then started doing a lot more software support, which all can be delivered remotely, for the most part. From time to time, you may need to be onsite for something, so that kind of changes the logistical model, and now with the cloud as well, we've just kind of evolved in that direction. >> And how about the Veritas relationship? What's that been like, you know, the Symantec sale, any comments on how that's evolved, and where do you see that going? >> Yeah, we've been a long-time Veritas partner, and really the reason why we first got started with them was because they were relatively platform-agnostic, and supported and endorsed heterogeneity. And in the old Foundation Suite days, which now their InfoScale product, it's obviously had some name changes, it didn't matter what operating system, didn't matter which array vendor you used. And it's good to have friends in the industry and alliances, but there's also some benefit of staying relatively agnostic like Veritas has, and that message resonates now more than ever with all the different cloud providers out there, and just being able to be interoperable with a lot of different technologies. >> What's your customer's reaction been to all the announcements that Veritas has been making here? >> Yeah, yeah, everyone's excited. Now it's getting the word out. And I mentioned pace of innovation earlier, and it seems to have gone from zero to 100, really, really fast. So, that's exciting. It shows commitment, I think, from the new executive leadership team at Veritas, and their backers at Carlyle as well. So, you know, I think it's an exciting time for Veritas, and for us as a partner as well, and our customers. >> And anything you want to see out of those guys? From your perspective, in the partner standpoint, in the voice of the customer, what's on their to-do list? >> Yeah, and I mean, the concept of data management, looking at it holistically is important. After people and intellectual property, data's the most valuable asset a company has, and a lot of the intellectual property resides in the form of data as well. So, it's an exciting place to be as we kind of see the industry shift. >> Dave: Cubs or White Sox? >> Bob: Cubbies! >> Hey, well, congratulations on that! >> Yeah, it's been a-- >> Really, really Cubbies, not just White Sox, oh, the Cubbies won it? >> No, Cubbies all the way. >> Hardcore Cubbies fan. >> Diehard, absolutely, yep. >> Well, you're welcome for Theo Epstein. We gave Theo, and Lester, you know. And Lackey. (laughs) >> You know, Theo seems to have the Midas touch, you know, and it's interesting too, you can use sports analogies for a lot of things, and Theo's a guy who was a little disruptive by using data and analytics in his approach to managing a baseball team. >> Right, right, well, good. That's great. It was an exciting World Series last year. Hope it can be as exciting again. Must have been insane in Chicago. >> Absolutely, yep, getting ready for another run this year, hopefully. >> Excellent, well, Bob, thanks very much for coming on theCUBE. Really appreciate it. >> Thanks again, gentlemen. >> You're welcome, all right, keep it right there, buddy, we'll be back to wrap up Vision 2017. This is theCUBE. (rippling music)