>>Live from Copenhagen, Denmark. It's the cube covering Nutanix dot. Next 2019 brought to you by Nutanix. >>Welcome back everyone to the cubes live coverage of next here in Copenhagen. We are of course here at the Nutanix show. We are wrapping up a fantastic today show. I'm your host, Rebecca Knight. Been Cosa hosting alongside of Stu Miniman. We are joined by Simon Taylor. He is the CEO of haiku, a good friend of the cube. Thank you so much for coming back on the show. It's a pleasure to be here. It's great to see you guys again. Final guest. Oh my gosh. It's a, it's a fare to stay interested in your energy. Yes. So for our viewers who are not as familiar with haiku, tell us a little bit about your business and how you are a strategic partner of Nutanix. >> Sure, sure. So haiku actually is a software company that focuses on data protection as a service. We actually started by spinning out of a much larger company called calm train that had about a thousand engineers and was doing all sorts of things, but they had an amazing talent for building backup and recovery software. >>Um, my vision was really that we can move up the value chain and we can establish ourselves as our own brand, as long as we could find a place in the market that was fast growing, building like a rocket ship and was really requiring a new kind of data protection and backup. And honestly, as soon as we fell, we saw Nutanix, we sort of fell in love. We realized that, you know, they had developed an entirely new category of business with hyperconverged and they were really a pioneer in that space. So we said is why don't we build the world's first purpose-built backup and recovery for Nutanix? And that's exactly what we did. And I think, you know, Stu was actually one of the first people to ever hear about it. Uh, we came on the cube and we talked about that. We've GA that in 2017 in July. I think@that.next, um, so just two and a half years later, we now have 1200 customers and we're in 62 countries around the world. So it's been absolutely astonishing. It's been wonderful growth. We're seeing 300% year over year growth. Uh, and really a lot of that is just based on our ability to protect the data of Nutanix customers around the world. >>Well and and Simon, right? That early question was, is new CanOx is going to be big enough to support ISV is that, you know, can run the, you know, grow their business underneath them before we get further and talk about mine and everything. Give us a little bit, you know, the state of the state for haiku because started with Nutanix, but that's not the only solution they are offering Dave. So just give us kind of the snapshot of the whole business. >>What we realized as we were building out high Q in this purpose build backup recovery for new TEDx. We said that's the on-prem, you know, but there's a lot of on prem that is still legacy three tier architecture. So we added a VMware product. But really the goal was to offer true multi-cloud data protection as a service. So what we did is we built the independent purpose-built backup and recovery service from Nutanix, one for VMware. Then we built the world's first purpose build backup as a service for Google cloud. And I'm really thrilled to announce the next month we're launching Azure backup as well. And the brilliant thing about our system and our solution is that we actually enabled customers to not only back up their data independently for that cloud, but that then migrate their data to whatever other cloud they want to use. So we actually becomes data protection as a service, data migration, and dr. >>So for, for customers, this is wonderful, but how is it to be strategic partners with all of these big players? >> Oh yeah, absolutely. I think you have to place your bets, right? So if you notice, I didn't say AWS and almost every company that I talked to says, why wouldn't you start with AWS? They're the biggest, you know, that's never been our philosophy. You know, I think the fact that we attach ourselves to Nutanix so early, not just because they were a rocket ship on fire, but also because we truly believed in their vision. We believe in the Nutanix products, we love Daraja entire philosophy around simplicity and customer delight and we felt like we could be students of Nutanix, we could actually build out our product with those same philosophies and principles in mind. You know? So I think really going deep with Nutanix is number one for us remains number one. I would also say though that you know, Google has been an excellent partner and Microsoft been an excellent partner. So with the large cloud providers you have to take a different approach. You cannot offer a downloadable product, right? All of our public cloud backup and recovery is a true managed service. You go into their app store, you turn it on rather than download it, you configure and you're able to perform all your backup and do all your recovery right from the console. >>All right, so Simon let, let's get into the kind of the, the, the guts of what's happening at Nutanix. Mine, of course is a partnership to extend for data protection, partnering with Veeam and haikus as a, as the first two partners. Uh, the other thing that everybody's pretty excited about is XY clusters. And that sounds like, and we've talked to Newtanics people, you know, as Nutanix brings their stack into the clouds, not just on the clouds, will that pull things like mine along with them. And so, so give us what you're seeing with mine first and maybe he's, I clusters along. >>Yeah. So maybe we start with mine, right? This whole concept that I think that these guys have pioneered and they've done a really terrific job of it. I think, you know, the, the vision there, and you know, I count marketing or Meyer in this group and Tim Isaacs and some wonderful folks on the product team in Nutanix. Their vision was, you know, there's rubric and there's Cohesity, there's these sort of large secondary storage platforms. Personally, when I look at them, what I see as Newtanics with a backup workload, right? And I think that, you know, Nutanix being the original is the best. It's the most complete solution. And it's very, very comprehensive. So I think the, the tannics folks understood this intuitively and their idea was instead of us building our own backup and going after that space, we've got amazing partners like haiku. Why don't we just natively integrate them into the mind platform and offer that sort of secondary storage workload, uh, as a key part of Nutanix is product proposition. >>So the really exciting thing for us is that we are skewed up with Nutanix. Nutanix, we'll be able to resell haiku as a part of mine. Uh, and I think that's gonna really complete their end tour tire story when it comes to being able to own the data center, uh, and really own the sort of cloud in general. You know. So I think your second question still was about clusters. And I think that the answer there is very simple. You know, multi Gloucester is, has become extremely important for Nutanix customers. They've done a great job of going after that. The simple fact is if you don't support XY clusters as a backup vendor, you really can't compete in this market. So I'm really thrilled to announce, of course, that haiku is the first backup recovery vendor that does support. Gluster. >>Okay. So interesting. We talked about how you hadn't done a solution for AWS. Sounds like this might be a path for you to get with Nutanix onto AWS. >>Absolutely, absolutely. And again, for us it's not about looking for some Trojan horse or backdoor into a go to market strategy. It's about making sure that the customers are truly delighted by the value that we provide. And I think that when we go after a specific market, we want to do it the best, you know, so we don't go shallow and just sort of check the box. We want to make sure, for example, when we build out Azure that we're not just dealing with, you know, the, the general principle of backing up and keeping things consistent. We want to make sure the applications people are running on Azure or supported by haiku. That's what we do with Nutanix. That's what we do with GCP. We want to always go as deep as possible so we can really compliment the platform in a really, really comprehensive way. >>One of the things you said earlier was that your philosophy is very much aligned with Nutanix, your your end goal to simplify and delight the customer, uh, this, this much more intuitive, uh, youth and user interface. So talk a little bit about how you, you said you wanted to become a student of Nutanix, yo, this, this cross company learning is very interesting to me. How, how, what have you learned? Yeah. What have you learned and how do you go about being tutored by your customers? >>No, I'm a very visual guy, right? And whenever I think about Nutanix, I always had this image in my head. All right. Whenever I thought about legacy, three-tier architecture and the move to hyperconverged, rather, I always pictured an 80 stereo system. Remember those big eighties boxes? And they have all the graphic equalizers and all the way down. And some kid would come and push them all down. You could never reset the darn things, you know? And then along comes, you know, automation and suddenly, you know, you press a button and you listen to jazz and it sounds like good jazz and the treble and the bass all fixed themselves. You know, I effectively think that Nutanix brought that same concept, funnily enough into the data center. They simplified so much that was impossible to handle for admins across the world. They made it so simple to use their product that actually the customers could start to enjoy their work more. >>And I really love that. That's a true, that's a really an intangible sort of value proposition that I think people don't talk about it enough. Yes, you want to save time. Yes, you want to save money, but if you could enjoy your job more as a result of getting a product, what's better than that? Um, so I think that philosophy is something we baked into haiku in the following ways. You know, the first is when we were designing the UI, we wanted it to look and feel like the platform it supports. So when you use haiku for Nutanix, it looks like prism, when you are using our console for GCP, you're gonna feel like you're using GCP. The idea is that backup and recovery should be an extension of that cloud expression, that platform, so that the customer who is an expert with that platform can easily manage this with no training at all. So again, driving that simplicity right there and in the platform. >>Yeah. So Simon, you know, one of the things we love to do is get hear from customers and what they're doing. Of course you've got 1200 customers that are Nutanix customers. So we'd love to hear, you know, any insights you have in a lot of discussion about AHV in the last 12 months has been about half of the deployment. Is there anything around HV or any of the, you know, new software features and products and experiences that Nutanix has been launching that you hear customers buzzing and talking to you about? >>I mean, I, I, the first thing I would say is it is truly a multicloud world now. Um, I think that legacy vendors are having a harder and harder time coping with the fact that cloud washing no longer works. You know, if you show up to the market and you say, Oh, this, now I can deploy an agent into this cloud, it's sort of stop, stop, don't say agent around me. You know? So I think, I think the ability to really natively integrate into any of these clouds and support all of these clouds equally is key. You know? So in the past a vendor would start with one thing and it would be great, right? And I won't use names here, but then they would do something else. They might move to another hypervisor and it was a little bit less great. Right. And I think that that notion has to change in a multicloud world, which brings me to the concept of HV. >>I think that HV has really grown. I mean, I would say that right now, you know, over half of our customers are HV customers. And I would say that that grows every single quarter and it not only grows in terms of net new logos, it also grows in terms of existing customers that we're finding SWAT to switch to HV and they want to switch fast. You know, they don't want to pay the V tax anymore, but more than that, I think they're seeing HV as a really robust enterprise hypervisor that really meets the complete need for the customer. And I think that's, that's been terrific to watch. So when you hear at.next, and this is not your first hot next, but what kinds of conversations are you having? What's been interesting to you? What are you going to take back to haiku? Yeah, head back to Brookline. Yeah. >>I mean obviously there's all the new stuff. I mean, Kubernetes, you know, containers. Um, I think these are all things we've been working on for some time. We'll have some surprises for you guys in Q4 at the end of Q four around that. Um, but you know, I think the big takeaway for me is we spent the first two years building our brand, getting the word out there, proving to companies and customers around the world that we were truly enterprise ready cause we were the new kid on the block. And you have to sort of start somewhere and show that. I think now we, you know, we added physical last year, we added tape support, we've really got all of the major applications covered at this point. I think that conversation, we've checked the box, right? So today's conversations are about what's next, how much more deeply will you integrate with Nutanix? >>How can I use Nutanix to then manage my data in the cloud and bring it back again? And can haikus support that or will it distract me? And you know, the simple answer is it will support that completely because it's so natively integrated. You know. And again, I think when you choose a platform at this stage, and this is something we've seen again and again and again, people do not want a second silo, right? In order to, you know, run their backup and recovery. You know, customers who are choosing Nutanix or choosing any platform want to run that platform and they want to make that one holistic experience. You know, they want to reduce the training required and they want to make sure they get the most out of their investment. So we're where I think two or three years ago, Stu, when we first met, everybody was trying new things, right? It was sort of, there were all these new platforms and it was all very exciting. I think now people are doubling, tripling, quadrupling down on the platforms they fundamentally believe in. And we're thrilled about that because we support those platforms and we'll continue to do so. >>Great. Excellent little. Simon, thank you so much for coming on the cube. It was a real pleasure talking to you and it's been great. Yes, no, absolutely. Thank you very much. Thank you so much. Thank you for having me. That wraps up two brilliant days in Copenhagen at the Bella center at Nutanix dot. Next. Thank you so much for joining us and we hope to see you next time.

>> Live from New York, It's theCUBE! Covering theCUBE New York City 2018. Brought to you by SiliconANGLE Media and its ecosystem partners. >> Hello and welcome back to theCUBE live in New York City, here for CUBE NYC. In conjunct with Strata Conference, Strata Data, Strata Hadoop This is our ninth year covering the big data ecosystem which has evolved into machine learning, A.I., data science, cloud, a lot of great things happening all things data, impacting all businesses I'm John Furrier, your host with Dave Vellante and Peter Burris, Peter is filling in for Dave Vellante. Next guest, Stephanie McReynolds who is the CMO, VP of Marketing for Alation, thanks for joining us. >> Thanks for having me. >> Good to see you. So you guys have a pretty spectacular exhibit here in New York. I want to get to that right away, top story is Attack of the Bots. And you're showing a great demo. Explain what you guys are doing in the show. >> Yah, well it's robot fighting time in our booth, so we brought a little fun to the show floor my kids are.. >> You mean big data is not fun enough? >> Well big data is pretty fun but occasionally you got to get your geek battle on there so we're having fun with robots but I think the real story in the Alation booth is about the product and how machine learning data catalogs are helping a whole variety of users in the organization everything from improving analyst productivity and even some business user productivity of data to then really supporting data scientists in their work by helping them to distribute their data products through a data catalog. >> You guys are one of the new guard companies that are doing things that make it really easy for people who want to use data, practitioners that the average data citizen has been called, or people who want productivity. Not necessarily the hardcore, setting up clusters, really kind of like the big data user. What's that market look like right now, has it met your expectations, how's business, what's the update? >> Yah, I think we have a strong perspective that for us to close the final mile and get to real value out of the data, it's a human challenge, there's a trust gap with managers. Today on stage over at STRATA it was interesting because Google had a speaker and it wasn't their chief data officer it was their chief decision scientist and I think that reflects what that final mile is is that making decisions and it's the trust gap that managers have with data because they don't know how the insides are coming to them, what are all the details underneath. In order to be able to trust decisions you have to understand who processed the data, what decision making criteria did they use, was this data governed well, are we introducing some bias into our algorithms, and can that be controlled? And so Alation becomes a platform for supporting getting answers to those issues. And then there's plenty of other companies that are optimizing the performance of those QUERYS and the storage of that data, but we're trying to really to close that trust gap. >> It's very interesting because from a management standpoint we're trying to do more evidence based management. So there's a major trend in board rooms, and executive offices to try to find ways to acculturate the executive team to using data, evidence based management healthcare now being applied to a lot of other domains. We've also historically had a situation where the people who focused or worked with the data was a relatively small coterie of individuals that crave these crazy systems to try to bring those two together. It sounds like what you're doing, and I really like the idea of the data scientists, being able to create data products that then can be distributed. It sounds like you're trying to look at data as an asset to be created, to be distributed so they can be more easily used by more people in your organization, have we got that right? >> Absolutely. So we're now seeing we're in just over a hundred production implementations of Alation, at large enterprises, and we're now seeing those production implementations get into the thousands of users. So this is going beyond those data specialists. Beyond the unicorn data scientists that understand the systems and math and technology. >> And business. >> And business, right. In business. So what we're seeing now is that a data catalog can be a point of collaboration across those different audiences in an enterprise. So whereas three years ago some of our initial customers kept the data catalog implementations small, right. They were getting access to the specialists to this catalog and asked them to certify data assets for others, what were starting to see is a proliferation of creation of self service data assets, a certification process that now is enterprise-wide, and thousands of users in these organizations. So Ebay has over a thousand weekly logins, Munich Reinsurance was on stage yesterday, their head of data engineering said they have 2,000 users on Alation at this point on their data lake, Fiserv is going to speak on Thursday and they're getting up to those numbers as well, so we see some really solid organizations that are solving medical, pharmaceutical issues, right, the largest re insurer in the world leading tech companies, starting to adopt a data catalog as a foundation for how their going to make those data driven decisions in the organization. >> Talk about how the product works because essentially you're bringing kind of the decision scientists, for lack of a better word, and productivity worker, almost like a business office suite concept, as a SAS, so you got a SAS model that says "Hey you want to play with data, use it but you have to do some front end work." Take us through how you guys roll out the platform, how are your customers consuming the service, take us through the engagement with customers. >> I think for customers, the most interesting part of this product is that it displays itself as an application that anyone can use, right? So there's a super familiar search interface that, rather than bringing back webpages, allows you to search for data assets in your organization. If you want more information on that data asset you click on those search results and you can see all of the information of how that data has been used in the organization, as well as the technical details and the technical metadata. And I think what's even more powerful is we actually have a recommendation engine that recommends data assets to the user. And that can be plugged into Tablo and Salesworth, Einstein Analytics, and a whole variety of other data science tools like Data Haiku that you might be using in your organization. So this looks like a very easy to use application that folks are familiar with that you just need a web browser to access, but on the backend, the hard work that's happening is the automation that we do with the platform. So by going out and crawling these source systems and looking at not just the technical descriptions of data, the metadata that exists, but then being able to understand by parsing the sequel weblogs, how that data is actually being used in the organization. We call it behavior I.O. by looking at the behaviors of how that data's being used, from those logs, we can actually give you a really good sense of how that data should be used in the future or where you might have gaps in governing that data or how you might want to reorient your storage or compute infrastructure to support the type of analytics that are actually being executed by real humans in your organization. And that's eye opening to a lot of I.T. sources. >> So you're providing insights to the data usage so that the business could get optimized for whether it's I.T. footprint component, or kinds of use cases, is that kind of how it's working? >> So what's interesting is the optimization actually happens in a pretty automated way, because we can make recommendations to those consumers of data of how they want to navigate the system. Kind of like Google makes recommendations as you browse the web, right? >> If you misspell something, "Oh did you mean this", kind of thing? >> "Did you mean this, might you also be interested in this", right? It's kind of a cross between Google and Amazon. Others like you may have used these other data assets in the past to determine revenue for that particular region, have you thought about using this filter, have you thought about using this join, did you know that you're trying to do analysis that maybe the sales ops guy has already done, and here's the certified report, why don't you just start with that? We're seeing a lot of reuse in organizations, wherein the past I think as an industry when Tablo and Click and all these B.I tools that were very self service oriented started to take off it was all about democratizing visualization by letting every user do their own thing and now we're realizing to get speed and accuracy and efficiency and effectiveness maybe there's more reuse of the work we've already done in existing data assets and by recommending those and expanding the data literacy around the interpretation of those, you might actually close this trust gap with the data. >> But there's one really important point that you raised, and I want to come back to it, and that is this notion of bias. So you know, Alation knows something about the data, knows a lot about the metadata, so therefore, I don't want to say understands, but it's capable of categorizing data in that way. And you're also able to look at the usage of that data by parsing some of sequel statements and then making a determination of the data as it's identified is appropriately being used based on how people are actually applying it so you can identify potential bias or potential misuse or whatever else it might be. That is an incredibly important thing. As you know John, we had an event last night and one of the things that popped up is how do you deal with emergence in data science in A.I, etc. And what methods do you put in place to actually ensure that the governance model can be extended to understand how those things are potentially in a very soft way, corrupting the use of the data. So could you spend a little bit more time talking about that because it's something a lot of people are interested in, quite frankly we don't know about a lot of tools that are doing that kind of work right now. It's an important point. >> I think the traditional viewpoint was if we just can manage the data we will be able to have a govern system. So if we control the inputs then well have a safe environment, and that was kind of like the classic single source of truth, data warehouse type model. >> Stewards of the data. >> What we're seeing is with the proliferation of sources of data and how quickly with IOT and new modern sources, data is getting created, you're not able to manage data at that point of that entry point. And it's not just about systems, it's about individuals that go on the web and find a dataset and then load it into a corporate database, right? Or you merge an Excel file with something that in a database. And so I think what we see happening, not only when you look at bias but if you look at some of the new regulations like [Inaudible] >> Sure. Ownership, [Inaudible] >> The logic that you're using to process that data, the algorithm itself can be biased, if you have a biased training data site that you feed it into a machine learning algorithm, the algorithm itself is going to be biased. And so the control point in this world where data is proliferating and we're not sure we can control that entirely, becomes the logic embedded in the algorithm. Even if that's a simple sequel statement that's feeding a report. And so Alation is able to introspect that sequel and highlight that maybe there is bias at work and how this algorithm is composed. So with GDPR the consumer owns their own data, if they want to pull it out from a training data set, you got to rerun that algorithm without that consumer data and that's your control point then going forward for the organization on different governance issues that pop up. >> Talk about the psychology of the user base because one of the things that shifted in the data world is a few stewards of data managed everything, now you've got a model where literally thousands of people of an organization could be users, productivity users, so you get a social component in here that people know who's doing data work, which in a way, creates a new persona or class of worker. A non techy worker. >> Yeah. It's interesting if you think about moving access to the data and moving the individuals that are creating algorithms out to a broader user group, what's important, you have to make sure that you're educating and training and sharing knowledge with that democratized audience, right? And to be able to do that you kind of want to work with human psychology, right? You want to be able to give people guidance in the course of their work rather than have them memorize a set of rules and try to remember to apply those. If you had a specialist group you can kind of control and force them to memorize and then apply, the more modern approach is to say "look, with some of these machine learning techniques that we have, why don't we make a recommendation." What you're going to do is introduce bias into that calculation. >> And we're capturing that information as you use the data. >> Well were also making a recommendation to say "Hey do you know you're doing this? Maybe you don't want to do that." Most people are using the data are not bad actors. They just can't remember all the rule sets to apply. So what were trying to do is cut someone behaviorally in the act before they make that mistake and say hey just a bit of a reminder, a bit of a coaching moment, did you know what you're doing? Maybe you can think of another approach to this. And we've found that many organizations that changes the discussion around data governance. It's no longer this top down constraint to finding insight, which frustrates an audience, is trying to use that data. It's more like a coach helping you improve and then social aspect of wanting to contribute to the system comes into play and people start communicating, collaborating, the platform and curating information a little bit. >> I remember when Microsoft Excel came out, the spreadsheet, or Lotus 123, oh my God, people are going to use these amazing things with spreadsheets, they did. You're taking a similar approach with analytics, much bigger surface area of work to kind of attack from a data perspective, but in a way kind of the same kind of concept, put the hands of the users, have the data in their hands so to speak. >> Yeah, enable everyone to make data driven decisions. But make sure that they're interpreting that data in the right way, right? Give them enough guidance, don't let them just kind of attack the wild west and fair it out. >> Well looking back at the Microsoft Excel spreadsheet example, I remember when a finance department would send a formatted spreadsheet with all the rules for how to use it out of 50 different groups around the world, and everyone figured out that you can go in and manipulate the macros and deliver any results they want. And so it's that same notion, you have to know something about that, but this site, in many respects Stephanie you're describing a data governance model that really is more truly governance, that if we think about a data asset it's how do we mediate a lot of different claims against that set of data so that its used appropriately, so its not corrupted, so that it doesn't effect other people, but very importantly so that the out6comes are easier to agree upon because there's some trust and there's some valid behaviors and there's some verification in the flow of the data utilization. >> And where we give voice to a number of different constituencies. Because business opinions from different departments can run slightly counter to one another. There can be friction in how to use particular data assets in the business depending on the lens that you have in that business and so what were trying to do is surface those different perspectives, give them voice, allow those constituencies to work that out in a platform that captures that debate, captures that knowledge, makes that debate a knowledge of foundation to build upon so in many ways its kind of like the scientific method, right? As a scientist I publish a paper. >> Get peer reviewed. >> Get peer reviewed, let other people weigh in. >> And it becomes part of the canon of knowledge. >> And it becomes part of the canon. And in the scientific community over the last several years you see that folks are publishing their data sets out publicly, why can't an enterprise do the same thing internally for different business groups internally. Take the same approach. Allow others to weigh in. It gets them better insights and it gets them more trust in that foundation. >> You get collective intelligence from the user base to help come in and make the data smarter and sharper. >> Yeah and have reusable assets that you can then build upon to find the higher level insights. Don't run the same report that a hundred people in the organization have already run. >> So the final question for you. As you guys are emerging, starting to do really well, you have a unique approach, honestly we think it fits in kind of the new guard of analytics, a productivity worker with data, which is we think is going to be a huge persona, where are you guys winning, and why are you winning with your customer base? What are some things that are resonating as you go in and engage with prospects and customers and existing customers? What are they attracted to, what are they like, and why are you beating the competition in your sales and opportunities? >> I think this concept of a more agile, grassroots approach to data governance is a breath of fresh air for anyone who spend their career in the data space. Were at a turning point in industry where you're now seeing chief decision scientists, chief data officers, chief analytic officers take a leadership role in organizations. Munich Reinsurance is using their data team to actually invest and hold new arms of their business. That's how they're pushing the envelope on leadership in the insurance space and were seeing that across our install base. Alation becomes this knowledge repository for all of those mines in the organization, and encourages a community to be built around data and insightful questions of data. And in that way the whole organization raises to the next level and I think its that vision of what can be created internally, how we can move away from just claiming that were a big data organization and really starting to see the impact of how new business models can be creative in these data assets, that's exciting to our customer base. >> Well congratulations. A hot start up. Alation here on theCUBE in New York City for cubeNYC. Changing the game on analytics, bringing a breath of fresh air to hands of the users. A new persona developing. Congratulations, great to have you. Stephanie McReynolds. Its the cube. Stay with us for more live coverage, day one of two days live in New York City. We'll be right back.

(big band music) >> Announcer: Live from New Orleans, Louisiana, it's theCUBE covering .NEXT Conference 2018. Brought to you by Nutanix. >> Your file was so big, it might be very useful, but now it is gone. Oh wait, we're not talking about those type of haikus. Happy to welcome to the program the new CEO of HYCU. That's H-Y-C-U. Simon Taylor, the rebranded company, formerly Comtrade, I'm Stu Miniman with Keith Townsend. Simon, great to see you. >> Great to see you as always. >> Yeah so I've corked a quick Google search. Give me some technology things. I believe it's actually like a former V expert, that friend of mine had it in his deep archive, he's got all these things about Windows and the like. So let's start there. We've had you on the program, when it was Comtrade, explain the HYKU, the name and how it fits with the other company, everything like that. >> Absolutely, so a huge shift since the last time we all spoke. As you might remember, Comtrade Software was a data protection, a mondering company, but it was part of a larger organization. We spun it out of Comtrade Group and rebranded as a new company, HYKU. HYKU stands for Hyper Converge Uptime and, really, the way we came up with the name is we were thinking about the fact that we sell data protection for the hyper-converger Enterprise Cloud. More specifically, purposed-filled backup recovery for Nutanix. And when we think about hyper-converger, what are we really doing? We're taking enormous amounts of data and we're simplifying it down to a nice, small elegant package, much like the Japanese poem, haiku. So we leveraged that name, haiku, and then create HYCU, Hyper-converged Up-time. >> Yeah and if you kept the Enterprise Cloud and everything like that, it would've been a much longer word. (laughing) >> Absolutely right. >> Alright, but let's speak to, Comtrade and now HYCU's been working with Nutanix for a lot, tell us what you're hearing from your customers, what's shaping the market, what's it like being in this ecosystem? >> Yeah, absolutely. So we found it to be absolutely wonderful. HYCU, Inc. now, is really the world's only purpose-built backup recovery product for Nutanix. We've got about 350 employees in five different countries. And we launched about eight months ago, our very own backup and recovery product for Nutanix. When we thought about what kind of product we wanted to build as our own stand-alone company, we knew it had to be in hyper-converged, we knew that Nutanix was the industry leader and we'd had so much respect for Nutanix and for their leadership for so many years, as you remember. We had brought the monitoring scompact for Nutanix to market about three years ago, and we thought our real legacy has been in the data protection space. We've been working with companies all across the world for 25 years, from an engineering perspective, supporting the development of blue-chip data protection products, and we thought what better than to build our own back-up recovery product? And if we're going to do that, we should do it for the industry leader in hyperconvergion Enterprise Cloud which is Nutanix. So when we thought about what it would take to build an HCI backup and recovery product, we said, you know what, we don't want to be the platform. Nutanix, in our opinion, is the platform. And they've got snapshots and cloning and replication built in to their product. So we said, rather than creating another beast, another platform, another silo, let's leverage the elegance of Nutanix and let's add to it application awareness, let's add to it all of the various different cataloging, and application support that would be required to actually provide a complete data protection solution to Nutanix customers. It's been wonderful, and in just eight months, we're now in 22 countries around the world. >> So, 350 people, this is a crowded space. There's a lot of start-ups, there's a lot of established companies, why Nutanix? The focus is for such a large company, what's the total addressable market for the product, and what's the attraction amongst Nutanix customers? >> Those are great questions, Keith. And absolutely, I think this is the question on everybody's mind, how big can Nutanix really get? In our eyes, you can guess the correlarity for us. We believe where Nutanix are where VMware were a decade ago, and that they're going to keep going. I think we've heard it from the Nutanix Executive Team, you know, they want to be a three billion dollar company, et cetera, and I think they're going to hit it. I think they're going to absolutely just grow and grow and grow and really be the platform of the future. So from our perspective, this is the most crowded space in technology and a very difficult place to penetrate. I would certainly not recommend anyone building a sort of plain vanilla backup solution and saying, "Hey, here we are." I just don't think it will work. But when you look at Nutanix, and you look at the evolution of data protection, starting with Unex, there was a solution for that, Windows, there was a very relevant solution for that, virtualization, another backup and recovery product. Now we're in Cloud and Enterprise Cloud, and there's a couple of new vendors that have appeared on the market, and they're all sort of saying the same thing, which is it's all about the application, it's all about integration, and gosh, it's got to be very usable. It's got to be Next-Gen and it's got to be focused on the consumer. It's got to be something that people want to use, that really has that simplicity and that elegance. The core difference is that, unlike some of the other HCI backup vendors, we've focused almost entirely on building it for Nutanix, which means that we can leverage the power of their platform and make our customers more successful. In terms of total adjustable market, what we wanted to do was say to customers, "You only should have one data protection solution "for your environment." So what we did is we added a V80P integration, so you can actually backup and recover not only Nutanix data but all of your Legacy VMware data as well through HYCU, okay? But we only market it to Nutanix customers, so what that enables us to do is to provide unified data protection solutions for Nutanix customers which helps them to more quickly migrate customers and workloads to new Nutanix bosses. >> So as far as that support for Legacy workloads, we talked to quite a few Nutanix customers and they're in a mixed environment where a percentage of the workload's on Nutanix, a percentage of the workload's are outside of Nutanix, so does that support, extend not only-- >> Both. >> From the virtual machines, but physical machines outside of the Nutanix scope? >> Sure, so we're at V3.0 right now. We've been out for about eight months. In our latest release we've added VSX supports, you can backup all of your Legacy infrastructure. We are adding physical and Q4 this year as well. So you're really looking at a comprehensive Enterprise-ready HCI Enterprise Cloud solution that leverages the power of Nutanix to make their customers more successful than ever before. >> Okay, great, so VMware and HV today, Bare Metal coming to the future. Let's talk about that Cloud piece bit. Nutanix partnerships in putting their environment into AWS, Microsoft, of course, Google, really, so all the backup players are talking about how they fit in this multi-Cloud world, so how does HYCU fit? >> Yeah. You know what we did, we actually repurposed HYCU, and we launched our own Google Cloud services backup product. It's in the Google Cloud Services Store, you can download it and you can actually leverage that as well. But I see that as the precursor. I think we, on the HYCU team, all see that as the precursor to Zy. We love what Nutanix is doing with Google on Zy. We think that's going to be a real game changer for them. And what we wanted to make sure is that we really understood the concepts behind it so that when they start launching workloads on Zy, we're right there, ready with Zy integration. >> So give us some hero numbers. What are some of the big features that you guys offer Nutanix customers that other data protection companies can't do? >> Sure. So one of the key things, Keith, is that from a Nutanix perspective, we actually integrate right at the storage level, so we're not going at the hypervisor level, and what that means is that we avoid something called VM-stung. So when we think about customers who are trying to recover their data, in a traditional hypervisor environment where you're backing up at the hypervisor level, you're going to see that VM-stung, you're going to see things freeze up a little bit when you're doing the recovery. By backing up and recovering directly from the storage level, we avoid that entire process. The second thing that we've done is we've actually patented application awareness. Now this is great thing, we leveraged it in the monitoring tools, Stu's going to remember that, and we brought that back in a totally new form for the data protection. What we do is we actually look inside the virtual machines, we can see what applications are there, we reconstruct them ourselves, and that enables self-service recovery on the part of the Nutanix Abna. So now when Nutanix Abna can say I want to restore a sequel, I want to restore exchange, I want to get an email back, they can do all of that themselves right from the solution. >> Alright, Simon, last thing I want to cover is what feedback are you hearing from the show here? What are the customers excited about? You've been to quite a few of these also, what's your wrap-up of the show? >> I think this is by far the most successful Nutanix event ever, and I think it's been a wonderful scale-up approach for everyone here. I think we're starting to see a lot more in the Federal space, certainly, we're starting to see a lot more, for both Nutanix and HYCU, kind of across the larger enterprises, and I think what people are starting to see is that they can actually move entire environments to Nutanix. And I think more and more workloads are shifting faster than ever before and these guys have just really found scale. That's been a terrific thing to see and obviously fantastic for our business as well. >> Alright. Simon Taylor, CEO of HYCU, pleasure to catch up with you as always. We'll be back with lots more programming here from Nutanix .NEXT 2018 for Keith Townsend, Stu Miniman. Thanks for watching theCUBE. (light electronic music)

>> Narrator: Live, from Santa Clara in the heart of Silicon Valley, it's theCUBE. Covering Cloud Foundry Summit 2017. Brought to you by the Cloud Foundry Foundation and Pivotal. >> Hi this is Stu Miniman, joined with my cohost, John Troyer. Happy to welcome to the program a first-time guest, Chip Childers, who's the CTO of the Cloud Foundry Foundation. Chip, fresh off the keynote stage, >> Yep. >> how's everything going? >> It's going great. We're really happy with the turnout of the conference. We are really happy with the number of large enterprises that are here to share their story. The really active vendor ecosystem around the project. It's great. It's a wonderful event so far. >> Yeah, I was looking back, I think the last time I came to the Cloud Foundry Show, it was before the Foundation existed, We were in the Hilton in San Francisco, it was obviously a way smaller group. Tell us kind of the goals of the Foundation, doing the event, bringing the community in. >> Yeah, you can think about our goals as being of course, we're the stewards of the intellectual property, the actual software that the vendors distribute. We see our role in the ecosystem as being really two key things. One: we're focused on supporting the users, the customers, and the direct uses of the Open Source software. That's first and foremost. Second though, we want to make sure there is a really robust market ecosystem that is wrapped around this project, right. Both in terms of the distribution, the regional providers that offer Cloud Foundry based services, but also large system integrators that are helping those customers go through digital transformation. Re-platform applications, you know really figure out their way through this process. So, it's all about supporting the users and then supporting the market around it. >> Yeah, as we go to a lot of these events, you know, there are certain themes that emerge. There were two big ones that both of them showed up in what you did in the Keynote. Number one is Multicloud, number two is you got all of these various open sourced pieces, >> Chip: Yep. you know, what fits together, what interlocks together, you know which ones sit side by side. Why don't we start with kind of the open source piece first? Because you're heavily involved in a lot of those. Cloud Foundry, you know, what are the new pieces that are bolting on, or sitting on top, or digging into it, and what's going on there? >> You know, I think first I want to start with a basic philosophy of our upstream community. There are billions of dollars that rely on this platform today. And that continues to grow. Right, because we're showing up in Fortune 500, Global 2000, as well as lots of small start-ups, that are using Cloud Foundry to get code shipped faster. So our community that builds the UpStream software, spends a lot of time being very thoughtful about their technical decisions. So what we release and that what gets productized by the down streams is a complete system. From operating system all the way up to including the various programming languages and frameworks and everything in between. And because we release a complete platform, at a really high velocity, so many people rely on it's quality, we're very thoughtful about when is the right time to build our own, when should we adopt and embrace and continue to support another OpenSource project, so we spend a lot of time really thinking about that. And the areas today that I highlight around specific collaborations include the Open Service Broker API which we actually spun out of being just a Club Foundry implementation. And we embrace other communities, and found a way to share the governance of that. So we move forward as a big industry together. >> Stu: Yeah and speaking on that a little bit more. Very interesting to see. I saw Red Hat for instance speaking with Open Shift, Kubernetes is there. So, how should customers think about this? Are the path wars over? Now you can choose all the pieces that you want? Or, it's probably oversimplifying it. >> I think it's over simplifying it, it depends. You can go try to build your own platform if you want, through a number of serious components, or you can just use something like Cloud Foundry, that has solve for that. But the important thing is that we have specifically designed Cloud Foundry to allow for the backing services to come from anywhere. And so, it's both a differentiator for the various distributions of Cloud Foundry, but also an opportunity for Cloud providers, and even more importantly, it's an opportunity for the enterprise users that live in complex worlds, right? They're going to have multiple platforms, they're going be multiple levels of abstraction from Bms to containers, you know, to the path abstraction even event driven frameworks. We want that all to work really well together. Regardless of the choices you make, because that's what's most valuable to the customers. >> Okay, the other piece, networking you talked about. Why don't you share. >> Yeah, yeah so, besides the Service Broker API, we've added support for what's called Container to Container Networking. I don't necessarily need to dig into the details there, but let's just say that when you're building microservices that the application that the user is experiencing is actually a combination of a lot of different applications. That all talk to each other and rely on each other. So we want to make sure there's a policy-based framework for describing how the webs here is going to talk to the authentication service or is going to talk to the booking service, or the inventory service. They all need to have rules about how they communicate with each other. And we want to do that in the most efficient way possible. So we've adopted the Containing Networking interface as the standard plugin that is now at CNCF, the Cloud Native Computing Foundation. We think it's the right abstraction, we think it's great. It gives us access to all the fascinating work that is going on around software networking, overlay networking, industry standard API plugin to our policy-driven framework. >> Along the same theme, Kubo, a big new news project also kind of integration of some Cloud Foundry concepts with a broader ecosystem, in this case another CNCF project, Kubernetes. Could you speak a little bit to that? >> The Kubernetes community is doing a great job creating great container driven experience. You know that abstraction is all about the container. It's not about, you know, the code. So it's different than Cloud Foundry. There are workloads that make sense to run in one or the other. And we want to make sure that they run really well. Right, so the problem that we're solving with the Kuber project is what deploys Kubernetes? What supports Kubernetes if there is an infrastructure adage and a node goes offline? Right, because it does a great job of restarting containers, but if you have ten nodes in a cluster, and then now you're down to nine, that's a problem. So what Bosh does, is it takes care of solving the node outage level problem. You can also do rolling upgrades that are seamless, no downtime for the Kubernetes cluster. It brings a level of operational maturity to the Kubernetes users that they may not have had otherwise. >> Chip, can you bring us inside a little bit the creation of Kubo, is that something that the market and customers drove towards you? I talked to a couple other Cloud Foundry ecosystem members that were doing some other ways of integrating in Kubernetes. So what lead to this way of deploying it with Bosh? >> Yeah, absolutely so, it came out of a direct collaboration between Pivotal and Google. And it was driven based on Pivotal customer demand. It also, if you speak with people from Google that are involved in the project, they also see it as a need, for the Kubernetes ecosystem. So it's driven based on real-world large financial services companies that wanted to have the multiple abstractions available, they wanted to do it with a common operational platform that is proven mature that they've already adopted. And then as that collaboration board, the fruit of the project, and it was announced by Pivotal and Google several months back, they realized that they needed to move it to the vendor neutral locations so that we can continue to expand the community that can work on it, that can build up the story. >> The other topic I raised at the beginning of the interview, was the Multicloud. So in a panel, Microsoft, Google, MTC for Amazon was there. All of the Cloud guys are going to tell you we have the best platform and can do the best things for you. >> Of course they do. >> How do you balance the "We want to live in a multicultural Cloud world" and be able to go there versus "Oh I'm going to take standard plus and get in a little bit deeper to make sure that we're stickier with the customers there." What role does Cloud Foundry play? What have you seen in the marketplace for that? >> Well the public lab providers are, if you look at the services that they offer, you can roughly categorize them with two things. One, are the infrastructure building blocks. Two, are the higher level services, like their database capabilities, their analytics capabilities, log aggregation, you know, and they all have a portfolio that varies, some have specific things that are very similar. So when we talk about MultiCloud we talk about Cloud Foundry as a way to make use of those common capabilities, now they're going to differentiate based on speeds and feeds, availability, whatever they choose to, but you can then as a user have choice. And then secondarily, that Open Service Broker initiative is what's really about saying "great, there's also all these really valuable additional capabilities, that, as a user, I may choose to integrate with a Google machine learning-service, or I may choose to integrate with a wonderful Microsoft capability, or an Amazon capability." And we just want to make that easy for a developer to make that choice. >> Chip, Cloud Founder was very early in terms of a concept of a platform of services, let's not call it platform as a service right now. But you know, this platform that going to make developers lives easier, multi-target, MultiCloud we call it now, on from your laptop to anywhere. And it's been a really interesting discussion over the last couple years as this parallel container thread can come up with Kubernetes and Mesosphere and all the orchestration tools, and the focus has been on orchestration tools. And I've always thought Cloud Foundry was kind of way ahead of the game in saying "wait a minute, there's a set of services that you're going to have for full life-cycles, day two operation, at scale that you all are going to have to pull together from components." As we're doing this interview here, and this year at Cloud Foundry Summit are there anything that you think people don't kind of realize that over and over again people who are using Cloud Foundry go, "Wow I'm really glad "I had logging or identity management," or what are some of the frameworks that people sometimes don't realize is in there that actually is a huge time-savor. >> Yeah, there are a lot of operational capabilities in the Cloud Foundry platform. When you include both our Bosh layer, as well as the elastic runtime which is in the developer centers experience-- >> John: Anything that people don't often realize is in there? >> Well, I think that the right way to think of it is, it's all the things you need in one application, right? So we've been doing this for years as developers. In the applications operators team, we've been doing it. We've just been doing it via bunch of tickets, we've been doing it via bunch of scripts. What Cloud Foundry does is it takes all of those capabilities you need to really trust a platform to operate something on your behalf, and give you the right view into it, right? The appropriate telemetry, log aggregation, and know that there's going to be help monitoring there. It makes it really easy. Right, so we were talking earlier about the haiku, that Onsi Fakhouri from Pivotal had authored, it's appropriate. It's a promise that a platform makes. And platforms designed to let a user trust that the declarative nature of asking a platform to do X, Y, or Z, will be delivered. >> Chip, we've been hearing Pivotal talks a lot about Spring, when Cloud Foundry's involved. Is it so much so that the Foundation needs to be behind that, or support that? How does that interact and work? >> Well, we're super supportive of all the languages in the framework communities that are out there. You know, even if you pick a particular vendor, Pivotal in this case has a very strong investment in the Spring, Spring Cloud, Spring Boot, they're doing really amazing things. But that's also, it's our software, you know, they steward that community, so all the other vendors actually get the advantage of that. Let's take Dot Net and Microsoft. Microsoft open sourced Dot Net. So now you can run Dot Net applications on Linux. They're embrace of the container details and the APIs and their operating system is making it so that now it can also run on Windows. So the whole Microsoft technology stack, languages and frameworks, they matter quite a bit to the enterprise as well. So we see ourselves as supportive of all of these communities, right? Even ones like the Ruby community. When there's an enterprise developer that chooses to use something like Ruby, with the Ruby on Rails framework, if they use Cloud Foundry, they're getting the latest and greatest version of that language, framework, they know that it's secure, they know that it's going to be patched for them. So it's actually a great experience for that developer, that's working with the language. So, we like to support all of them, we're big fans of any that work really well with the platform and maybe integrate deeper. But it's a polyglot platform. >> We want to give you the final word. People take away from Cloud Foundry Summit 2017, what would you want them to take away? >> Yeah the simple takeaway that I can give you is that this is an absolutely enterprise grade open source ecosystem. And you don't hear that often, right? Because normally we talk about products, being enterprise great. >> Did somebody say in the keynote enterprise great mean that there's a huge salesforce that's going to try sell you stuff? (Chip laughs) Well that's coming from the buying side of the market for years. And you know, it was a bit of a joke. What is "enterprise great?" Well, it means that there's a piece of paper that says, this product will cost x dollars and the salesperson is offering it to you. So of course it's going to be enterprise great. But really, we see it as four key things, right? It's about security, it's about being well-integrated, it's about being able to scale to the needs of even the largest enterprises, and it's also about that great developer experience. So, Cloud Foundry is an ecosystem and all of our downstream distributions get the advantage of this really robust and mature technical community that is producing this software. >> Chip, really appreciate you sharing all the updates with us, and appreciate the foundation's support to bring theCUBE here. We'll be back with lots more coverage here from The Cloud Foundry Summit 2017, you're watching theCUBE. (techno music)