(upbeat electronic music plays) >> Hey everyone, welcome back to theCube's coverage of .NEXT 2021 Virtual. I'm John Furrier, hosts of theCube. We have two great guests, Rajiv Mirani, who's the Chief Technology Officer, and Thomas Cornely, SVP of Product Management. Day Two keynote product, the platform, announcements, news. A lot of people, Rajiv, are super excited about the, the platform, uh, moving to a subscription model. Everything's kind of coming into place. How are the customers, uh, seeing this? How they adopted hybrid cloud as a hybrid, hybrid, hybrid, data, data, data? Those are the, those are the, that's the, that's where the puck is right now. You guys are there. How are customers seeing this? >> Mirani: Um, um, great question, John, by the way, great to be back here on theCube again this year. So when we talk to our customers, pretty much, all of them agreed that for them, the ideal state that they want to be in is a hybrid world, right? That they want to essentially be able to run both of those, both on the private data center and the public cloud, and sort of have a common platform, common experience, common, uh, skillset, same people managing, managing workloads across both locations. And unfortunately, most of them don't have that that tooling available today to do so, right. And that's where the platform, the Nutanix platform's come a long way. We've always been great at running in the data center, running every single workload, we continue to make great strides on our core with the increased performance for, for the most demanding, uh, workloads out there. But what we have done in the last couple of years has also extended this platform to run in the public cloud and essentially provide the same capabilities, the same operational behavior across locations. And that's when you're seeing a lot of excitement from our customers because they really want to be in that state, for it to have the common tooling across work locations, as you can imagine, we're getting traction. Customers who want to move workloads to public cloud, they don't want to spend the effort to refactor them. Or for customers who really want to operate in a hybrid mode with things like disaster recovery, cloud bursting, workloads like that. So, you know, I think we've made a great step in that direction. And we look forward to doing more with our customers. >> Furrier: What is the big challenge that you're seeing with this hybrid transition from your customers and how are you solving that specifically? >> Mirani: Yeah. If you look at how public and private operate today, they're very different in the kind of technologies used. And most customers today will have two separate teams, like one for their on-prem workloads, using a certain set of tooling, a second completely different team, managing a completely different set of workloads, but with different technologies. And that's not an ideal state in some senses, that's not true hybrid, right? It's like creating two new silos, if anything. And our vision is that you get to a point where both of these operate in the same manner, you've got the same people managing all of them, the same workloads anyway, but similar performance, similar SaaS. So they're going to literally get to point where applications and data can move back and forth. And that's, that's, that's where I think the real future is for hybrid >> Furrier: I have to ask you a personal question. As the CTO, you've got be excited with the architecture that's evolving with hybrid and multi-cloud, I mean, I mean, it's pretty, pretty exciting from a tech standpoint, what is your reaction to that? >> Mirani: %100 and it's been a long time coming, right? We have been building pieces of this over years. And if you look at all the product announcements, Nutanix has made over the last few years and the acquisitions that made them and so on, there's been a purpose behind them. That's been a purpose to get to this model where we can operate a customer's workloads in a hybrid environment. So really, really happy to see all of that come together. Years and years of work finally finally bearing fruit. >> Furrier: Well, we've had many conversations in the past, but it congratulates a lot more to do with so much more action happening. Thomas, you get the keys to the kingdom, okay, and the product management you've got to prioritize, you've got to put it together. What are the key components of this Nutanix cloud platform? The hybrid cloud, multi-cloud strategy that's in place, because there's a lot of headroom there, but take us through the key components today and then how that translates into hybrid multi-cloud for the future. >> Cornely: Certainly, John, thank you again and great to be here, and kind of, Rajiv, you said really nicely here. If you look at our portfolio at Nutanix, what we have is great technologies. They've been sold as a lot of different products in the past, right. And what we've done last few months is we kind of bring things together, simplify and streamline, and we align everything around a cloud platform, right? And this is really the messaging that we're going after is look, it's not about the price of our solutions, but business outcomes for customers. And so are we focusing on pushing the cloud platform, which we encompasses five key areas for us, which we refer to as cloud infrastructure, no deficiencies running your workloads. Cloud management, which is how you're going to go and actually manage, operate, automate, and get governance. And then services on top that started on all around data, right? So we have unified storage, finding the objects, data services. We have database services. Now we have outset of desktop services, which is for EMC. So all of this, the big change for us is this is something that, you know, you can consume in terms of solutions and consume on premises. As Rajiv discussed, you know, we can take the same platform and deploy it in public cloud regions now, right? So you can now get no seamless hybrid cloud, same operating model. But increasingly what we're doing is taking your solutions and re-targeting issues and problems at workers running native public clouds. So think of this as going, after automating more governance, security, you know, finding objects, database services, wherever you're workload is running. So this is taking this portfolio and reapplying it, and targeting on prem at the edge in hybrid and in christening public cloud in ATV. >> Furrier: That's awesome. I've been watching some of the footage and I was noticing quite a lot of innovation around virtualized, networking, disaster, recovery security, and data services. It's all good. You guys were, and this is in your wheelhouse. I know you guys are doing this for many, many years. I want to dive deeper into that because the theme right now that we've been reporting on, you guys are hitting right here what the keynote is cloud scale is about faster development, right? Cloud native is about speed, it's about not waiting for these old departments, IT or security to get back to them in days or weeks and responding to either policy or some changes, you got to move faster. And data, data is critical in all of this. So we'll start with virtualized networking because networking again is a key part of it. The developers want to go faster. They're shifting left, take us through the virtualization piece of how important that is. >> Mirani: Yeah, that's actually a great question as well. So if you think about it, virtual networking is the first step towards building a real cloud like infrastructure on premises that extends out to include networking as well. So one of the key components of any cloud is automation. Another key component is self service and with the API, is it bigger on virtual networking All of that becomes much simpler, much more possible than having to, you know, qualify it, work with someone there to reconfigure physical networks and slots. We can, we can do that in a self service way, much more automated way. But beyond that, the, the, the notion of watching networks is really powerful because it helps us to now essentially extend networks and, and replicate networks anywhere on the private data center, but in the public cloud as well. So now when customers move their workloads, we'd already made that very simple with our clusters offering. But if you're only peek behind the layers a little bit, it's like, well, yea, but the network's not the same on the side. So now it, now it means that a go re IP, my workloads create new subnets and all of that. So there was a little bit of complication left in that process. So to actual network that goes away also. So essentially you can repeat the same network in both locations. You can literally move your workloads, no redesign of your network acquired and still get that self service and automation capabilities of which cookies so great step forward, it really helps us complete the infrastructure as a service stack. We had great storage capabilities before, we create compute capabilities before, and sort of networking the third leg and all of that. >> Furrier: Talk about the complexity here, because I think a lot of people will look at dev ops movement and say, infrastructure is code when you go to one cloud, it's okay. You can, you can, you know, make things easier. Programmable. When, when you start getting into data center, private data centers, or essentially edges now, cause if it's distributed cloud environment or cloud operations, it's essentially one big cloud operation. So the networks are different. As you said, this is a big deal. Okay. This is sort of make infrastructure as code happen in multiple environments across multiple clouds is not trivial. Could you talk about the main trends and how you guys see this evolving and how you solve that? >> Mirani: Yeah. Well, the beauty here is that we are actually creating the same environment everywhere, right? From, from, from point of view of networking, compute, and storage, but also things like security. So when you move workloads, things with security, posture also moves, which is also super important. It's a really hard problem, and something a lot of CIO's struggle with, but having the same security posture in public and private clouds reporting as well. So with this, with this clusters offering and our on-prem offering competing with the infrastructure service stack, you may not have this capability where your operations really are unified across multicloud hybrid cloud in any way you run. >> Furrier: Okay, so if I have multiple cloud vendors, there are different vendors. You guys are creating a connection unifying those three. Is that right? >> Mirani: Essentially, yes, so we're running the same stack on all of them and abstracting away the differences between the clouds that you can run operations. >> Furrier: And when the benefits, the benefits of the customers are what? What's the main, what's the main benefit there? >> Mirani: Essentially. They don't have to worry about, about where their workloads are running. Then they can pick the best cloud for their workloads. It can seamlessly move them between Cloud. They can move their data over easily, and essentially stop worrying about getting locked into a single, into a single cloud either in a multi-cloud scenario or in a hybrid cloud scenario, right. There many, many companies now were started on a cloud first mandate, but over time realized that they want to move workloads back to on-prem or the other way around. They have traditional workloads that they started on prem and want to move them to public cloud now. And we make that really simple. >> Furrier: Yeah. It's kind of a trick question. I wanted to tee that up for Thomas, because I love that kind of that horizontal scales, what the cloud's all about, but when you factor data into it, this is the sweet spot, because this is where, you know, I think it gets really exciting and complicated too, because, you know, data's got, can get unwieldy pretty quickly. You got state got multiple applications, Thomas, what's your, what can you share the data aspect of this? This is super, super important. >> Absolutely. It's, you know, it's really our core source of differentiation, when you think about it. That's what makes Nutanix special right? In, in the market. When we talk about cloud, right. Actually, if you've been following Nutanix for years, you know, we've been talking a lot about making infrastructure invisible, right? The new way for us to talk about what we're doing, with our vision is, is to make clouds invisible so that in the end, you can focus on your own business, right? So how do you make Cloud invisible? Lots of technology is at the application layer to go and containerize applications, you know, make them portable, modernize them, make them cloud native. That's all fine when you're not talking of state class containers, that the simplest thing to move around. Right. But as we all know, you know, applications end of the day, rely on data and measure the data across all of these different locations. I'm not even going to go seconds. Cause that's almost a given, you're talking about attribution. You can go straight from edge to on-prem to hybrid, to different public cloud regions. You know, how do you go into the key control of that and get consistency of all of this, right? So that's part of it is being aware of where your data is, right? But the other part is that inconsistency of set up data services regardless of where you're running. And so this is something that we look at the cloud platform, where we provide you the cloud infrastructure go and run the applications. But we also built into the cloud platform. You get all of your core data services, whether you have to consume file services, object services, or database services to really support your application. And that will move with your application, that is the key thing here by bringing everything onto the same platform. You now can see all operations, regardless of where you're running the application. The last thing that we're adding, and this is a new offering that we're just launching, which is a service, it's called, delete the dead ends. Which is a solution that gives you visibility and allow you to go and get better governance around all your data, wherever it may live, across on-prem edge and public clouds. That's a big deal again, because to manage it, you first have to make sense of it and get control over it. And that's what data answer's is going to be all about. >> Furrier: You know, one of the things we've we've been reporting on is data is now a competitive advantage, especially when you have workflows involved, um, super important. Um, how do you see customers going to the edge? Because if you have this environment, how does the data equation, Thomas, go to the edge? How do you see that evolving? >> Cornely: So it's yeah. I mean, edge is not one thing. And that's actually the biggest part of the challenge of defining what the edge is depending on the customer that you're working with. But in many cases you get data ingesting or being treated at the edge that you then have to go move to either your private cloud or your public cloud environment to go and basically aggregate it, analyze it and get insights from it. Right? So this is where a lot of our technologies, whether it's, I think the object's offering built in, we'll ask you to go and make the ingest over great distances over the network, right? And then have your common data to actually do an ethics audit over our own object store. Right? Again, announcements, we brought into our storage solutions here, we want to then actually organize it then actually organize it directly onto the objects store solution. Nope. Using things, things like or SG select built into our protocols. So again, make it easy for you to go in ingest anywhere, consolidate your data, and then get value out of it. Using some of the latest announcements on the API forms. >> Furrier: Rajiv databases are still the heart of most applications in the enterprise these days, but databases are not just the data is a lot of different data. Moving around. You have a lot a new data engineering platforms coming in. A lot of customers are scratching their head and, and they want to kind of be, be ready and be ready today. Talk about your view of the database services space and what you guys are doing to help enterprise, operate, manage their databases. >> Mirani: Yeah, it's a super important area, right? I mean, databases are probably the most important workload customers run on premises and pretty close on the public cloud as well. And if you look at it recently, the tooling that's available on premises, fairly traditional, but the clouds, when we integrate innovation, we're going to be looking at things like Amazon's relational database service makes it an order of magnitude simpler for our customers to manage the database. At the same time, also a proliferation of databases and we have the traditional Oracle and SQL server. But if you have open source Mongo, DB, and my SQL, and a lot of post-grads, it's a lot of different kinds of databases that people have to manage. And now it just becomes this cable. I have the spoke tooling for each one of them. So with our Arab product, what we're doing is essentially creating a data management layer, a database management layer that unifies operations across your databases and across locations, public cloud and private clouds. So all the operations that you need, you do, which are very complicated in, in, in, in with traditional tooling now, provisioning of databases backing up and restoring them providing a true time machine capabilities, so you can pull back transactions. We can copy data management for your data first. All of that has been tested in Era for a wide variety of database engines, your choice of database engine at the back end. And so the new capabilities are adding sort of extend that lead that we have in that space. Right? So, so one of the things we announced at .Next is, is, is, is one-click storage scaling. So one of the common problems with databases is as they grow over time, it's not running out of storage capacity. Now re-provisions to storage for a database, migrate all the data where it's weeks and months of look, right? Well, guess what? With Era, you can do that in one click, it uses the underlying AOS scale-out architecture to provision more storage and it does it have zero downtime. So on the fly, you can resize your databases that speed, you're adding some security capabilities. You're adding some capabilities around resilience. Era continues to be a very exciting product for us. And one of the things, one of the real things that we are really excited about is that it can really unify database operations between private and public. So in the future, we can also offer an aversion of Era, which operates on native public cloud instances and really excited about that. >> Furrier: Yeah. And you guys got that two X performance on scaling up databases and analytics. Now the big part point there, since you brought up security, I got to ask you, how are you guys talking about security? Obviously it's embedded in from the beginning. I know you guys continue to talk about that, but talk about, Rajiv, the security on, on that's on everyone's mind. Okay. It goes evolving. You seeing ransomware are continuing to happen more and more and more, and that's just the tip of the iceberg. What do you guys, how are you guys helping customers stay secure? >> Mirani: Security is something that you always have to think about as a defense in depth when it comes to security, right? There's no one product that, that's going to do everything for you. That said, what we are trying to do is to essentially go with the gamut of detection, prevention, and response with our security, and ransom ware is a great example of that, right. We've partnered with Qualys to essentially be able to do a risk assessment of your workloads, to basically be able to look into your workloads, see whether they have been bashed, whether they have any known vulnerabilities and so on. To try and prevent malware from infecting your workloads in the first place, right? So that's, that's the first line of defense. Now not systems will be perfect. Some, some, some, some malware will probably get in anyway But then you detect it, right. We have a database of all the 4,000 ransomware signatures that you can use to prevent ransomware from, uh, detecting ransom ware if it does infect the system. And if that happens, we can prevent it from doing any damage by putting your fire systems and storage into read-only mode, right. We can also prevent lateral spread of, of your ransomware through micro-segmentation. And finally, if you were, if you were to invade, all those defenses that you were actually able to encrypt data on, on, on a filer, we have immutable snapshots, they can recover from those kinds of attacks. So it's really a defense in depth approach. And in keeping with that, you know, we also have a rich ecosystem of partners while this is one of them, but older networks market sector that we work with closely to make sure that our customers have the best tooling around and the simplest way to manage security of their infrastructure. >> Furrier: Well, I got to say, I'm very impressed guys, by the announcements from the team I've been, we've been following Nutanix in the beginning, as you know, and now it's back in the next phase of the inflection point. I mean, looking at my notebook here from the announcements, the VPC virtual networking, DR Observability, zero trust security, workload governance, performance expanded availability, and AWS elastic DR. Okay, we'll get to that in a second, clusters on Azure preview cloud native ecosystem, cloud control plane. I mean, besides all the buzzword bingo, that's going on there, this is cloud, this is a cloud native story. This is distributed computing. This is virtualization, containers, cloud native, kind of all coming together around data. >> Cornely: What you see here is, I mean, it is clear that it is about modern applications, right? And this is about shifting strategy in terms of focusing on the pieces where we're going to be great at. And a lot of these are around data, giving you data services, data governance, not having giving you an invisible platform that can be running in any cloud. And then partnering, right. And this is just recognizing what's going on in the world, right? People want options, customers and options. When it comes to cloud, they want options to where they're running the reports, what options in terms of, whether it be using to build the modern applications. Right? So our big thing here is providing and being the best platform to go and actually support for Devers to come in and build and run their new and modern applications. That means that for us supporting a broad ecosystem of partners, entrepreneur platform, you know, we announced our partnership with Red Hat a couple of months ago, right? And this is going to be a big deal for us because again, we're bringing two leaders in the industry that are eminently complimentary when it comes to providing you a complete stack to go and build, run, and manage your client's applications. When you do that on premises, utilizing like the preferred ATI environment to do that. Using the Red Hat Open Shift, or, you're doing this open to public cloud and again, making it seamless and easy, to move the applications and their supporting data services around, around them that support them, whether they're running on prem in hybrid winter mechanic. So client activity is a big deal, but when it comes to client activity, the way we look at this, it's all about giving customers choice, choice of that from services and choice of infrastructure service. >> Furrier: Yeah. Let's talk to the red hat folks, Rajiv, it's you know, it's, they're an operating system thinking company. You know, you look at the internet now in the cloud and edge, and on-premise, it's essentially an operating system. you need your backup and recovery needs to disaster recovery. You need to have the HCI, you need to have all of these elements part of the system. It's, it's, it's, it's building on top of the existing Nutanix legacy, then the roots and the ecosystem with new stuff. >> Mirani: Right? I mean, it's, in fact, the Red Hat part is a great example of, you know, the perfect marriage, if you will, right? It's, it's, it's the best in class platform for running the cloud-native workloads and the best in class platform with a service offering in there. So two really great companies coming together. So, so really happy that we could get that done. You know, the, the point here is that cloud native applications still need infrastructure to run off, right? And then that infrastructure, if anything, the demands on that and growing it since it's no longer that hail of, I have some box storage, I have some filers and, you know, just don't excite them, set. People are using things like object stores, they're using databases increasingly. They're using the Kafka and Map Reduce and all kinds of data stores out there. And back haul must be great at supporting all of that. And that's where, as Thomas said, earlier, data services, data storage, those are our strengths. So that's certainly a building from platform to platform. And then from there onwards platform services, great to have right out of the pocket. >> Furrier: People still forget this, you know, still hardware and software working together behind the scenes. The old joke we have here on the cube is server less is running on a bunch of servers. So, you know, this is the way that is going. It's really the innovation. This is the infrastructure as code truly. This is what's what's happened is super exciting. Rajiv, Thomas, thank you guys for coming on. Always great to talk to you guys. Congratulations on an amazing platform. You guys are developing. Looks really strong. People are giving it rave reviews and congratulations on, on, on your keynotes. >> Cornely: Thank you for having us >> Okay. This is theCube's coverage of.next global virtual 2021 cube coverage day two keynote review. I'm John Furrier Furrier with the cube. Thanks for watching.

>> Narrator: From around the globe, it's theCUBE with coverage of the Global .NEXT Digital Experience brought to you by Nutanix. >> Welcome back, I'm Stu Miniman and this is theCUBE's coverage of the Nutanix .NEXT Digital Experience. We've got two of the c-suite here to really dig into some of the strategy and partnerships talked at their annual user conference. Happy to welcome back to the program two of our CUBE alumni first of all, we have Tarkan Maner. He is the Chief Customer Officer at Nutanix and joining us also Rajiv Mirani, he is the Chief Technology Officer, CTO. Rajiv, Tarkan, great to see you both. Thanks so much for joining us on theCUBE. >> Great to be back. >> Good to see you. >> All right. So Tarkan talk about a number of announcements. You had some big partner executives up on stage. As I just talked with Monica about, Scott Guthrie wearing the signature red polo, you had Kirk Skaugen from Lenovo of course, a real growing partnership with Nutanix, a bunch of others and even my understanding the partner program for how you go to market has gone through a lot. So a whole lot of stuff to go into, partnerships, don't need to tackle it all here upfront, but give us some of the highlights from your standpoint. >> I'll tell this to my dear friend Rajiv and I've been really busy, last few months and last 12 months have been super, super busy for us. And as you know, the latest announcements we made the new $750 million investment from Bain capital, amazing if by 20 results, Q4, big results. And obviously in the last few months big announcements with AWS as part of our hybrid multicloud vision and obviously Rajiv and I, we're making sale announcements, product announcements, partner announcements at .NEXT. So at a high level, I know Rajiv is going to cover this a little bit more in detail, but we covered everything under these three premises. Run better, run faster and run anywhere. Without stealing the thunder from Rajiv, but I just want to give you at a high level a little bit. What excites us a lot is obviously the customer partner intimacy and all this new IP innovation and announcement also very strong, very tight operational results and operational execution makes the company really special as a independent software vendor in this multicloud era. Obviously, we are the only true independent software vendor to do not run a business in a sense with fast growth. Timed to that announcement chain we make this big announcement with Azure partnership, our Nutanix portfolio under the Nutanix cluster ran now available as Bare-Metal Service on Azure after AWS. The partnership is new with Azure. We just announced the first angle of it. Limited access customers are taking it to look at the service. We're going to have a public preview in a few months, and more to come. And obviously we're not going to stop there. We have tons of work going on with other cloud providers, as well. Tying that, obviously, big focus with our Citrix partnership globally around our end user computing business as Rajiv will outline further, our portfolio on top of our digital infrastructure, tying the data center services, DevOps services, and you user computing services, Citrix partnership becomes a big one, and obviously you're tying the Lenovo and HP partnership to these things as the core platforms to run that business. It's creating tons of opportunity and I'll cover a little bit more further in a bit more detail, but one other partnership we are also focusing on, our Google partnership and on desktop as a service. So these are all coming to get around data center, DevOps, and user competent services on top of that amazing infrastructure Rajiv and team built over the past 10 years. I see Rajiv as one of our co-founders and one side with the right another. So the business is obviously booming in multiple fronts. This, if by 2020 was a great starting point with all this investment, that bank capital $750 million, big execution, ACD transition, software transition. And obviously these cloud partnerships are going to make big differences moving forward. >> Yeah, so Rajiv, want to build off what Tarkan was just saying there, that really coming together, when I heard the strategy run better, run faster, run anywhere, it really pulled together some of the threads I've been watching at Nutanix the last couple of years. There's been some SaaS solutions where it was like, wait, I don't understand how that ties back to really the core of what Nutanix does. And of course, Nutanix is more than just an HCI company, it's software and that simplicity and the experience as your team has always said, trying to make things invisible, but help if you would kind of lay out, there's a lot of announcements, but architecturally, there were some significant changes from the core, as well as, if I'm reading it right, it feels like the portfolio has a little bit more cohesion than I was seeing a year or so ago. >> Yeah, actually the theme around all these announcements is the same really, it's this ability to run any application, whether it's the most demanding traditional applications, the SAP HANA, the Epics and so on, but also the more modern cloud native application, any kind of application, we want the best platform. We want a platform that's simple, seamless, and secure, but we want to be able to run every application, we want to run it with great performance. So if you look at the announcements that are being made around strengthening the core with the Block Store, adding things like virtual networking, as well as announcements we made around building Karbon platform services, essentially making it easier for developers to build applications in a new cloud native way, but still have the choice of running them on premises or in the cloud. We believe we have the best platform for all of that. And then of course you want to give customers the optionality to run these applications anywhere they want, whether that's a private cloud, their own private data centers and service providers, or in the public cloud and the hyperscalers. So we give them that whole range of choices, and you can see that all the announcements fit into that one theme: any application, anywhere, that's basically it. >> Well, I'd like you to build just a little bit more on the application piece. The developer conversation is something we've been hearing from Nutanix the last couple of years. We've seen you in the cloud native space. Of course, Karbon is your Kubernetes offering. So the line I used a couple of years ago at .NEXT was modernize the platform, then you can modernize all of your applications on top of it, so where does Nutanix touch the developer? You know, how does that, building new apps, modernizing my apps tie into the Nutanix discussion? >> Yeah great question, Stu. So last year we introduced Karbon for the first time. And if you look at Karbon, the initial offering was really targeted at an IT audience, right? So it's basically the goal was to make Kubernetes management itself very easy for the IT professional. So essentially, whether you were creating a Nutanix, sorry, a Karbon cluster, or scaling it out or upgrading Kubernetes itself. We wanted to make that part of the life cycle very, very simple for IT. For the developer we offered the Vanilla Kubernetes system. And this was something that developers asked us for again and again, don't go around mucking around with Kubernetes itself, we want Vanilla Kubernetes, we want to use our Kube Cuddle or the tools that we're used to. So don't go fork off and build the economic Kubernetes distribution. That's the last thing we want. So we had a good platform already, but then we wanted to take the next step because very few applications today are self contained in the sense that they run entirely within themselves without dependence on external services, especially when you're building in the cloud, you have access, suppose you're building an Amazon, you have access to RDS to manage your databases. Don't have to manage it yourself. Your object stores, data pipelines, all kinds of platform services available, which really can accelerate development of your own applications, right? So we took the stand said, look, this is good. This is important. We want to give developers the same kind of services, but we want to make it much more democratic in the sense that we want them to be able to run these applications anywhere, not just on AWS or not just on GCP. And that's really the genesis of Kubernetes platform services. We've taken the most common services people use in the cloud and made them available to run anywhere. Public cloud, private cloud, anywhere. So we think it's very exciting. >> Tarkan, we had, you and I had a discussion with one of your partners on how this hybrid cloud scenario is playing out at HP discover, of course, with the GreenLake solution. I'm curious from your standpoint, all the things that Rajiv was just talking about, that's a real change, if you think about kind of the traditional infrastructure people they're needing to move up the stack. You've got partnerships with the hyperscalers. So help explain a little bit the ripple effect as Nutanix helps customers simplify and modernize, how your partners and your channel can still participate. >> So perfect, look, as you heard from Rajiv, this is like all coming super nicely together. As Rajiv outlined, with the data center, operations and services, DevOps services, to enable that faster time to market capable, that Kubernetes offering and user services, our desktop services on top of that classical industry-leading, record-breaking digital infrastructure. That hybrid cloud infrastructure we call today. You play this game with devoting a little bit, as you remember, we used to call hyper-converged infrastructure. Now we call it of the hybrid cloud infrastructure, in a sense. All those pieces coming together nicely end-to-end, unlike any other vendor, and from a software only perspective, we're not owned by a hardware company which is making a huge difference. Gives us tremendous level of flexibility, democratization, and freedom of choice. Cloud to us is basically is not a destination. It's an operating model. You heard me say this before, as Rajiv also said. So in our strategy, when you look at it, Stu, we have a three pronged approach on top of our on-prem, marketplace on-prem capable. There's been 17,000+ customers, 7,000+ channel and strategic partners. Also as part of this big announcement, this new partner program we called Elevate, on the Elevate brand, bringing all the channel partners, ISEs, platform partners, hyperscalers, Telco XPSs, and our global market partners all in one bucket where we manage them, simply the incentives. It's a very simple way to execute that opposite Chris Kaddaras, our Chief Revenue Officer, as well as Christian Alvarez, our Chief Partner Officer sort of speaking on global goal, the channels, working together tightly with our organization on the product front to deliver this. So one key point I want to share with you, tying to what Rajiv said earlier on the multicloud area, obviously we realize customers are looking for freedom of choice. So we have our own cloud, Nutanix cloud, under the XI brand. X-I, XI brand, which is basically our own logistics, our own basically, serviceability, payment capability and our software, running off our portal partnerships like Equinix delivering that software as a service. We started with disaster recovery as a service, very fast growing business. Now we announced our GreenLake partnership with HPE in the backend that data center as a service might be actually HP GreenLake if the customer wants it. So that partnership creates huge opportunities for us. Obviously, on top of that, we have these Telco XSP partnerships. As we're announcing partnerships with some amazing source providers like OBH. You heard today from college Sudani in society general, they are not only using AWS and Azure and Nutanix on-prem and Nutanix clusters on Azure and AWS for their internal departments, but they also use a local service provider in France for data gravity and data security reasons. A French company dealing with French business and data centers, with that kind of data governance requirements within the country, within the borders of France. So in that context we are also the service provider partnerships coming in. We're going to announce a partnership with OVHS vault, which is a big deal for us. And tying to this, as Rajiv talked about, our clusters portfolio, our portfolio basically running on-prem on AWS and Azure. And we're not going to stop there obviously. So give choice to the customers. So as Rajiv said, basically, Nutanix can run anywhere. On top of that we announced just today with Capgemini, a new dev test environment is a service. Where Rajiv's portfolio, end-to-end, data center, DevOps, and some of the UC capabilities for dev test reasons can run as a service on Capgemini cloud. We have similar partnerships with HCL, similar partnerships with (indistinct) and we're super excited for this .NEXT in FI21 because of those reasons. >> Rajiv, one of the real challenges we've had for a long time is, I want to be able to have that optionality. I want to be able to live in any environment. I don't want to be stuck in an environment, but I want to be able to take advantage of the innovation and the functionality that's there. Can you give us a little bit of insight? How do you make sure that Nutanix can live these environments like the new Azure partnership and it has the Nutanix experience, yet I can take advantage of, whether it be AI or some other capabilities that a Google, an Amazon or a Microsoft has. How do you balance that? You have to integrate with all of these partners yet, not lock out the features that they keep adding. >> Right, absolutely, that's a great point, Stu. And that's something we pride ourselves on, that we're not taking shortcuts. We're not trying to create our own bubble in these hyperscalers, where we run in an isolated environment and can't interact with the rest of the services they offer. And that's primarily why we have spent the time and the effort to integrate closely with their virtual networking, with the services that they provide and essentially offer the best of both worlds. We take the Nutanix stack, the entire software stack, everything we build from top to bottom, make it available. So the same experience is there with upgrades and prism, the same experience is available on-prem and in the cloud. But at the same time, as you said, we want people to have full speed access to cloud services. There's things the cloud is doing that will be very difficult for anybody to do. I mean, the kind of thing that, say Google does with AI, or Azure does with databases. It's remarkable what these guys are doing, and you want to take advantage of those services. So for us, it's very, very important, that access is not constrained in any way, but also that customers have the time to make this journey, right? If they want to move to cloud today, they can do that. And then they can refactor and redevelop their applications over time and start consuming these sales. So it's not an all or nothing proposition. It's not that you have to refactor it, rewrite before you can move forward. That's been extremely important for us and it's really topical right now, especially with this pandemic. I think one thing all of IT has realized is that you have to be agile. You have to be able to react to things and timeframes you never thought you needed to, right. So it's not just disaster recovery, but the amount of effort that's gone in the last few months in enabling a distributed workforce, who thought it would happen so quickly? But it's a kind of agility that, an optionality that we are giving to customers that really makes it possible. >> Yeah, absolutely. Right now, things are moving pretty fast. So let me let both of you have the final word. Give us a little bit viewpoint, as things are moving fast, what's on the plate? What should we be expecting to see from Nutanix and your ecosystem through the rest of 2020, Tarkan? >> So look, heard from us, Stu, I know you're talking to multiple folks and you had this discussions with us, end-to-end, and look for the company to be successful, customer partner intimacy, IP innovation, and execution, and operational excellence. Obviously, all three things need to come together. So in a sense, Stu, we just need to keep moving. I give this analogy a lot, as Benjamin Franklin says, the human beings are divided in three categories, you know? The first one is those who are immovable. They never move. Second category, those who, you know, are movable, you can move them if you try hard. And obviously third category, those who just move. Not only themselves, but they move others, like in a sense, in a nice way to refer to Benjamin Franklin, with one of our key founders in the US, in a sense as the founders of this company, with folks like Rajiv and other executives, and some of the newcomers, we a culture, which just keeps moving and the last 12 months, you've seen some of these. And obviously going back to the announcement day, AWS, now Azure, the Capgemini announcement then test as a service around some of the portfolio that Rajiv talked about or a Google partnership on desktop as a service, deep focus on Citrix globally with Azure, Google, and ourselves on-prem, off-prem. And obviously some of the big moves were making with some of the customers, it's going to continue. This is just the beginning. I mean, literally Rajiv and I are doing these .NEXT conferences, announcements, and so on. We're actually doing calls right now to basically execute for the next 12 months. We're planning the next 12 months' execution. So we're super excited now with this new Bain Capital investment, and also the partnership, the product, we're ready to rock and roll. So look forward to seeing you soon, Stu, and we're going to have more news to cover with you. >> Yeah, exactly right, Tarkan. I think as Tarkan said we are at the beginning of a journey right now. I think the way hybrid cloud is now becoming seamless opens up so many possibilities for customers, things that were never possible before. Most people when they talk hybrid cloud, they're talking about fairly separate environments, some applications running in the public cloud, some running on premises. Applications that are themselves hybrid that run across, or that can burst from one to the other, or can move around with both app and data mobility. I think the possibilities are huge. And it's going to be many years before we see the full potential of this platform. >> Well Rajiv and Tarkan, thank you so much for sharing all of the updates, congratulations on the progress, and absolutely look forward to catching up in the near future and watching the journey. >> Thanks, Stu. >> Thank you, Stu. >> And stay with us for more coverage here from the Nutanix .NEXT digital experience. I'm Stu Miniman, and as always, thank you for watching theCUBE. (bright music)

>>lie from Copenhagen, Denmark. >>It's the >>Q covering Nutanix dot Next 2019. Brought to you by >>Nutanix. Welcome back, everyone to the cubes. Live coverage of Nutanix. Stop! Next here in Copenhagen, Denmark. I'm your host, Rebecca Knight, coasting along side of stew minimum. Of course. We're joined by Regime Mirani. He is the CTO clad platforms at Nutanix. Thank you so much for coming on the Cubans. You need >>to be here as usual. >>So you were up on the main stage talking about your guiding force. Your mission to make enterprise computing so reliable, so ubiquitous that it's invisible. >>You don't think about >>it. You don't even get a little No, I mean, look, >>if you look at any successful technology, consumer technology doesn't need to be aware of the details around it, right? I mean, take cars, even because the first introduced you probably had to understand Rick operate. There was how it all works. Remember for water in the radiator. But most people don't know how to do that today. I wouldn't know how to do that today, even though my Utah actually had to do some of those things. Um, that isn't the point. of the cars or self driving. Now the same thing should happen to computing. And we spend way too much time today just doing things that keep the light. Don't nights on. Just imagine infrastructure patching things up, grading them. I really should be something that not what idea is doing i d should be focusing on the business, delivering applications that their customers need and not so much on managing infrastructure. >>Rajiv, that one click Simplicity is so important, yet we know things are becoming even more complicated. Bring us inside a little bit that you know, you've got 14,000 customers. Guess and there's been a major, basically rewrite of a less to be able to be ready for all of the new ash cloud Native envy me obtained, you know, you name it all of these things. How do you balance getting all of this new stuff up with making sure that you keep that simplicity and don't make things for all of your customers while all the jet engines, uh, you know, >>it takes constant effort. It takes a conscious effort to make sure that things are in drifting away from our goal of being simple and to be frank. At times it has and you know, we periodically to audits off all our work floors. Make sure that as simple as you think they are and haven't drifted over time. And occasionally we do find some rail clunkers and have to go back and fix those things. What >>makes it >>different is that we start with a fairly opinionated view on how things should be done. The idea is to make it simple for 99% of the people, while still offering the all that washed options of one person power users would need them and making sure that we understand what 90% 99% of people need. And focusing on that is very important to a lot of customer focus study sort of design reviews, but also this constant going back and you're taking work feel like we m creation like provisioning of'em. When he started, it was pretty simple right then, as we started adding more and more options eyes, this thing going to use a PC I passed through isn't going to use this option. That option suddenly realized that now they're 30 things that people are feeling into provisional we have, most of which nobody cares I care about. So you go back, read I tte keep doing that again and again and again. >>So rich Eve It's one thing when you talk about living on different servers, whether it be super micro underneath or Delhi Emcee Lenovo H p e. It's >>gonna be a >>little bit different if you're talking about where you're going with H p E Green Lake with, you know, the X in AWS that you talk about when I talk to people, you know, it's like, Oh, I'm trying to use terror form and you know, But I have to write it. One way to work with Amazon. I have to write it another way. If it's, you know, azure G C P S o. You know, will Nutanix be able to keep that simplicity and bring, you know, homogeneity to thes dispersed invite? >>Absolutely. So the point is, watch a layer of abstraction right the way we are going to public cloud away we go every server winter out the way of doing things and sigh all if it starts with the hyper wiser and the story of stock and networking with three layers of abstraction. And if you have the same three components everywhere, everything we built on top of that remains exactly the same. Prison was the same on a P S. On the same. Everything looks the same. So higher level constructs like calm and so on don't have to be aware of what the actual substrate is creating a calm blueprint, whether it works on ZAY on AWS or whether Trump's on SX or whether runs on Nutanix H way. The blue blueprint remains exactly the same. Now, if you want to consume more, service is if you want to consume. So this is an Amazon, which are not available on premises. You want to use things like auto scaling groups in Ec2. Sure, you could then create blueprints that our customers we're putting in the substrate. >>So, in terms of this, you said, you start with a very opinionated place of where the customer is well, First of all, it's based on customer feedback and customer surveys. And so where were are you right now in terms of where the customer is? Are you meeting the customer now, or is the customer ahead or what? Where would you describe that? I think it >>depends on what you're looking at. If you're looking at the core products, absolutely, the customers are with us. They were ready to consume. They actually drive a lot of the innovation that we're doing. We're feeding, feeding back changes that we could be doing to make things even simpler on the private cloud side that's getting there. I think we get a lot off feedback on files on on present pro on com on on Flow because those have started getting a lot of adoption in the market, and we do get a lot of feedback on them on. So our newer products that you started a war being more recently, it's a more collaborative process. There were actually working with customers directly understanding their problems on dhe, moving a roadmap forward based on that. So while it's early in terms off adoption in production, the whole process is very collaborative in those situations. So we really are very close to the customers there. >>What are some of the biggest customer problems right now that they're facing what's what's keeping them up at night and therefore keeping you up at night? >>Security is always a big one. Complexity, people skills. All those things are big problems. In fact, one of the biggest things like that was just training enough people to handle all the complexity in a data set. Is the Morrigan removed from that? The more they don't have to focus on that, the easier you make their lives. The other thing is just a lot of time to spend on routine activities which, which acquired disruption to service is right. This is something we've talked about before. Why does it Why does it require a legacy three tier system to have maintenance windows and downtime to do an upgrade? Google our has downtime. Google is never down for maintenance. Doesn't mean they're not already there waiting all the time. So how do we bring that same kind of capabilities on premises that's gonna focus our long power? >>So, Rajiv, when I'm talking to users out there, when they talk about all of the items that are out there that they need to deal with and the routine task automation is something keeps, you know, coming up. So tell us where automation fits into some of the new things that you were talking about today in this week with your customer? >>Yeah, automation >>for us. Waking automation in three steps anything that's automatic better be safe. First of all, safety is paramount. Started security. It has to be simple, and we talked about how calm provides for that. And then you can start adding in this new wave off technologies around artificial intelligence and machine learning. And it's not so much about automation right now. It's all gone to me. It's it's autonomous operations, not just scripts. That due to a task on dhe, that's >>an area >>we invested in very heavily early on with our prison pro product way, build our own patented or thumbs for machine learning applied them to operational metrics like capacity planning. And what if modeling and dynamic alerts and what we've been doing with that is extending that more into the application layer so that not only can you apply these algorithms to CP when memory, we can actually get insights into Hey, the Leighton see on this particular application looks somewhat unusual, or the amount of cash available on a sequel server is unusually low and act on those, and the other part is acting on on alert. Something happens. There's a human being need to get in wall to solve for that. And if it does, then well, it's not really automatic. Right? So that's the other part that we introduce, which is a cross for a product which lets you define these action chains that automatically, uh, what about to be triggered when Annie went on alert takes place, they can go ahead and fix the problem. But also, you know, simple things like send your slack notification or an email locked. They went, maybe create a snapshot of your wee am so that you could go back and be back problems later. All that sort of thing made really, really simple. >>Yes, it goes back to the simplicity and the invisibility to this. >>Yes, yes. Uh, autonomous data centers, by definition, have to be invisible, right? If if if If you're to get involved in marriage and autonomous Data center, then what's the plane? It's a point. Exactly. So the whole idea is that, uh, human involvement in day to day operations against solo that everybody's focused on applications on line of business use cases. >>Rajiv, when it when it comes to those applications. You know, you talked about some of the new enhancements like envy me on and obtain, You know, Where are your customers today? You know, Are there any interesting applications that you're seeing them deploying today? Ah, Pattern. I've talked about the last couple of years of the Nutanix show, is modernized the platform and then modernized the absolute top of it. Things like container ization. I'm sure to bell curve in a journey where all the customers But you know, what are some of the patterns that air starting emergen where they finding success? >>Yeah, This >>whole wave off new applications around data pipelines with Kafka spark things like that Apache stack effectively which are putting more more off load on storage in particular. So that's that's one area. We see customers looking for more performance. But >>even, >>you know, some of the traditional ah traditional uh, applications like ASAP Hana and epic and meditate expanse. They also have patterns which can benefit greatly with some of that wants wants that we have been making and gets a technical issue. No, The size of the working said with it all fits and car and on sst was spitting on magnetic drives. But something like we've been doing is moving the overheads. If you do have a miss and you go to slow a media, you still get good performance. And that's really how we're getting good to the new. >>Well, yeah, maybe without getting, you know, we don't need to go drill down into the core of the intel chip everything. But you know, Nutanix doesn't just take off the shelf stuff and, you know, put a box together. It's software, and there's work that happens with your partners in the ecosystem. Give us a little flavor as toe. You know where you're making the investments and where some of those partnerships and integrations or a key? >>Yeah, So on the platform side, Ah, a lot of the investments happen in validation of the platforms, making sure that we're ahead of the curve in adopting technologies but also feeding back from our side things we would like to see in the platform. Right? So how do you adapt things like R d m A. To handle not just the traditional work with the happy converge workload? How do you essentially look for things in this new class? of memories that would benefit from data locality for us. So that's one class off partnership that we have the hardware vendors with GHB, with Intel, with the IBM, a whole bunch of people. But >>then >>we also have partnerships up the stock these days with companies like service. Now, with we for backup for for our mind product. I think you saw a little bit of that today. It's a whole bunch of things happening across all areas. >>One of the things that it really comes across at this conference is just how strong Nutanix culture is. The company culture, the humble, honest, hungry and another word that's creeping in now is resilient. I'm wondering if you could talk a little bit about your division of the company and describe how the company's resilience, the employees and the company itself has really displayed itself. >>So, you know, as it any company you know, Any time you go through the kind of growth we have, there's the forward momentum that everybody sees. They also a lot of setbacks that people don't really see, and they've been a whole bunch of us off these in our history. They've been areas where literally. The product has has a floor which is so fundamental we call it internally a near death experience. What's really great until again, from an engineering point of yours, how the teams come together at that point instead of these war rooms, even working weekends, Everybody's there. Everybody's on it and nobody talks about. Hey, look, where's my work? Life? Balance of things like that, especially when they're the customer in world. If there's if there's a problem that's causing customers outages, our engineers will give up everything. They'll give up everything and not just at work with their lives to make sure that gets fixed. And that has helped us get Basti setbacks get back in stride. Happens last Now. It used to happen a lot earlier, but spill this real culture resilience from the big *** in the early engineers. >>All right, Rajiv, what's exciting? You going forward? You know you don't have to touch on this one. But you know, when I saw at the end, the site clusters and hibernate feature was something that was like, Oh, yeah. I don't think I've seen that as to how I could make sure I save my data be ableto, you know, Shut things down. Maybe start there. But give us You know what a little bit. Look forward as to where the team's playing. >>Now, that's kind of, >>you know, thinking that detail thing that you have to do. What, you want to launch a new product, right? Okay, look, the whole point of doing doings, I clusters on Amazon. One of the biggest use cases. This cloud bursting cloud busting is not just about increasing your workload size, scaling it up at some point, you want to scale it down? How do you do that for state for work? Stateless. It's easy. All I'm registering Web servers over that sort of my way, they're gone. But our database that I scaled out over there well, that data can't go away. So we had to find ways to essentially solve for those from. So that's how the hibernate feature came around in general, The bigger question that you asked about, You know what I'm most excited about? I >>think this >>whole convergence of private and public cloud with same stack on both sides is a new new tank. It really hasn't existed before. Um, the father applications can now move back and forth seamlessly between public cloud and private cloud without rewriting without re factoring without a big lift and shift is very, very interesting. But by itself, it's not enough. Um, the flip that's missing is what about data movement? What about if you have your data and Amazon and I want to move it on premises? That there really are no good solutions of the Amazon doesn't give you a P eyes on dhe the tools to do that. So I think data movement's gonna be a big thing. And then Billy, a common service's tack on board because it's not just networking, storage in and compute anymore, right? If you're an Amazon, you're probably using all kinds off. Networking service is security groups. Ah, Route 53. How do you take those kind of service is and also make them available on premises. >>So, Rajiv, is there anything you've learned as a team when you look at AWS outposts or Oracle clouded customer, we've had a few years of talking about, but not a lot of deployments yet, so, you know, not saying you're late to the market, but you know what would have been able to sit back and learn from what has been done so far. >>So the >>reason we >>a little bit late to the market is that we think of solving a problem which the other windows are not, Which is kind of what I alluded to before that is that how do you support both the legacy applications on the cloud Net Cloud applications? How do you provide for migration both ways? Applications of a born in the cloud and now you want to move them on premises or applications of a born on premises and you want to move them to the Cloud Outpost is great. I think it's a good good product of technologies that AWS are thinks that hybrid is the right strategy, but it's also one problem. It's also the problem off cloud applications running on premises it does not solve for the problem of legacy applications running and cloud right, that is just a cz difficult as ever. That's that's not become any easier without force. Similarly, if you look at what we are very swing with AWS, it's also legacy applications going going to AWS. But in doing so, they don't have access to all the different networking services that AWS offers because you're not running and a sex, and you're kind of running a different networking start tonight. So with well, thought long and hard about this problem. And I said, Hey, look, we're not going to take the easy answer over here. You can take Take our stock, which is known to run both legacy and cloud native applications. If probe in that on Internet natively into Amazon so that you can use Amazon service is you can use our service is you can a legacy. Applications can run more than applications without giving up. Anything on that, I think is why signal this longer? But I think it's a more powerful solution for the long term. >>Thank you so much for coming on the Cube. It's always a pleasure having you on my back and see us again. Thanks. I'm Rebecca Knight for stew. Minutemen stay more of the cubes. Live coverage of dot Next Nutanix here in Copenhagen,

live from London England it's the cube covering dot next conference Europe 2018 brought to you by Nutanix hi and welcome back on with you pissed car and I'm Stu Mittleman and welcome to the CTO segment at Nutanix next 2018 welcome back to the program to my right is Vinnie Gill who's the CTO of cloud services and to his right is Rajeev Murray ani not very honest I mean you know the CTO of cloud platforms a gentleman thanks so much for joining us again thanks dude for having us being back all right rajiv and Binny mechanics it's been kind of busy since last time we've chatted AOS got really a file system rewrite there's been some M&A integration going on as well as organic activity so you know I love talking the CTO is just if you can bring us inside a little bit you know what's been happening what your team's been working on some of the hard challenges I mean things like page be nested hypervisor on top of DCP you know these are some hard challenge getting ready for nvme over fabric you know so some real you know massive things that happen underneath the cover as well as some new products so didn't want to start with you it's tough yeah you know what I'm keeping you to your team busy oh the teams have been quite busy especially you know once you have you know more than 10,000 customers and a product that's earning a lot of revenue coming in and at the same time you have to change the dark surfer preparing for the next generation so it's a lot of work I mean if you're starting from scratch it's much easier whether you know we've had a lot of experience bringing in new capabilities making it transparent to the customer one-click upgrade is really important for us so learning from the past we have been able to rewrite the engine the storage in a way that customers wouldn't notice but it's gonna run just faster you know kudos to the team that they've pulled it off and it goes across the board when we are acquiring new companies that come into the fold of the Nutanix family the whole idea is to make it look seamless to the customer because that's one thing that you know customers know us for like hey is the willit have neutronic simplicity so a lot of learnings we have created some thumb rules to guide people coming in and those are working fine for us and there's you know a method to the madness over here there is in the end one vision that we want to provide a true hybrid cloud experience to our users do that we feel you're the first start by building the best private cloud you can't have hybrid without private and to do that we need to have an infrastructure that actually works for private cloud so we start with HCI as an initial platform we build on top of that with private cloud features and not just still a networking compute and storage like in the past but more platform services like era and carbon and so on and then once we have that we can then layer on the new hybrid cloud services so even though it looks like getting a lot of things it's all guided by that one region so tell me you know that hybrid that hybrid cloud vision you know where doesn't lead us doesn't lead us to you know the public cloud in the end does it lead us to a new 10x cloud where where does that help customers go towards well the way I look at it is that it doesn't lead to any one place it leads to multiple clouds there'll be private clouds of the edge clouds distributed clouds big central public clouds the important thing is can you move applications and data between between flowers and analogy I use is you know 20 years ago if you if you were writing applications to Solaris you were pretty much locked into Sun if you go by writing applications for hp-ux you were pretty much locked into into HP once Linux came along and made it possible to write applications for any x86 everywhere got independence from from from underlying hardware and the same thing will happen with cloud today you have to write applications for Amazon for GCP for Asha who can build an operating system that actually commoditize is all that that makes it possible for you to run on any cloud with the same set of applications so that kind of sounds to me like you're you know doing V motion and H a India res but then you know for a new generation of technologies well not be motion across clouds is of course the goal it is the goal but it's not just enough to move the applications around data around you have to move the management plan has to be the same so the lot more to it than just simply copying by it's across maybe you want to add to it yeah I mean basically adding to what Rajeev said if you ask where will hybrid cloud lead I think it leads to a dispersed cloud you know some of it was also mentioned by readers in the keynote which is you know this big monolithic cloud concept has to atomize into much smaller pieces and distributed and that's what's going to happen but you start with solving it at the hybrid and at least solve it for two and from two you go to many and that's what's really exciting yeah it's a really good point then I want you to help expand on that a little I I think back to companies that don't portfolios and you look at it and say okay well I product a B and C and boy I I don't know how to use those together because they for an inner basis and how do I work them together today you know I think micro-services architecture I think about api's pulling everything together what are those guiding principles that you give internally to teams to make sure that I can use the pieces that I want they work all together they work with you know there's really broad ecosystem you have and all these multi cloud environments so you know as much effort we put in building architecture for the product design I mean we have to put the same amount in terms of how is it going to be consumed by the customer in just having a long portfolio is no longer what customers are looking for looking for simplicity so to your point one of the things we are really careful about is especially when we are acquiring technology in organically is how do you make sure identity and billing is it's the same right that's the most important thing so you don't have to login once in this product once natural basic stuff but if you get it you know right it's just delightful the other thing is about experience developer experience and user experiences these are the two other out of the four factors user experiences around like do I have to learn this again like if you look at companies like Apple I mean if I've used the Mac use they try to make it very similar such that even a two-year-old can figure out how to use it and we would like to say that if you have been an IT industry for two years you should be able to use any Nutanix product and developer experience is around api's we have a standard that we have Jade version three intent full api is and that is creating a standardization across you saw a little bit of the opening the demo today there you know I went through calm and epoch and flow and prison throw all from one pane of glass it didn't look like four different products in fact why not mentioned there were four different products it probably wouldn't have been obvious that they were and that's important to us keeping that experience seamless is very important and that comes at a cost I mean it's we could have released it as soon as we acquired some of these things and punted it on to the customer to figure out how these pieces come together but we know our customers have a higher expectation from us so we take the time and from from that perspective you know as a as a user you know I'm used to working with different types of clouds public private I wrote anything in between and the amount of interfaces I have to touch to get you know something working to get a series of products to to align to do what I wanted to do that's becoming such a difficult task that you know having a single interface or having a familiar interface would actually help in that so maybe you can talk a little while use that UI to go into the public clamor into the hybrid cloud as well to make you know that experience easier as well talk about a couple of things one whenever there's a proliferation of technologies and you're trying to glue it together I mean single pane of glass is one thing that people talk about I think that's not the most important thing I mean obviously it's a requirement it's a necessary condition not a sufficient one to make it sufficient you also have to bring in opinion into the design and the opinion is where we are taking some decisions for the customer where you know the customer would care about learning about those things and that's where no tonics will come in and through our best practices we put our opinion in the design of the product so that the number of decision points where the customer is minimize and that's how you basically start consuming this diversity out there at the end of the day for the business the only two things matter that business logic and business data infrastructure is sitting in the middle lights it's like a necessary evil so you know if we can hide it and make it seamless you know customers really happy about it can you talk about that the feedback loop you have with customers things are changing very fast you know it's hard for anybody to keep up you know this week even you know hoot anacs has a lot of announcements that I'm sure will take people all the time to there how do you get the feedback loop to customers to make sure your your they're getting what they need from to understand your products and your understanding where they are in their journey and you know mature the product line yeah I mean we have a whole bunch of channels we have we just had a customer advisory board yesterday you know invite customers and have a really deep intimate conversation and frank conversation you know what's working for you what's not working we have our engineering team on slack channels and whatsapp channels with our customers especially the customers who are really you know they complain about a product and they have opinions amenity so we just try to short-circuit this thing and then it's all about empathy so getting a team note here the customers just absolutely retrieve I definitely want your pin but just feedback actually I talked to a few customers and they said I don't know how Nutanix does it but for a company their size I feel like I get personal attention in touch points so congratulations it's good the stuff you saw today is a direct result of the feedback the grouping of products into core essentials and enterprise kind of also reflects the customer journey a lot of customers start with us for with the core once they get used to that get their sense as far as build a true private cloud and only then they started looking at multi cloud so right products for the right customer it's something that we are taking very very seriously at this point so I want to dive into that you know right product right customer so one of the announcements you made is carbon had kubernetes as as a manager platform so what customers do you do you service with that product how do you go into customers like that and how do you help them kubernetes is one of the most fastest growing technologies in the IT space that we have seen in the in the recent years and a lot of our customers I would say especially this year we have seen they have developers using containers and they are at a point where they're trying to decide how can I put it in production a production has a many requirements their carbon is being used by our customers who are trying to see how they'll put containers into production and what we are doing with carbon is we providing native kubernetes api Zsasz is there an open source but we're solving the heart problems of upgrades scale out high availability troubleshooting these mundane things that you know usually people don't want to do and that's where we come in and help so I've seen customers use our storage volumes for even databases containerized to stateless things it's all across the board but still early years I mean for this kind of ecosystem but it's headed into you know it's going to be the future you know one of the things I found really interesting to watch is over the last two decades we've talked about intelligence and automation in infrastructure but really things are happening fast now when you talk about you know whether a I or ml there's really things that are creating some intelligence that it's not like oh I created some script and it does something but you know it's working well I know there's a number of places that that fits into your portfolio maybe maybe prism X play it would seem to get some good resonance and cheers from the audience because maybe they've all played with you know the you know if TTT so start from there and how do you think about the AI in ml space yeah so we we look at you know computing evolving from manual mostly manual in the past to more automated but really you want to get to this autonomous computing that that sort of talked about so you know think of it as you know causes to be really difficult to drive in the past it used to require knowing how the carburetors work and cleaning them out once in a while to the point where maybe 15 years ago pretty much didn't know anything about the internals of a car but you could drive it was reliable it would work which is probably where we are today in IT but the real goal is to get as an autonomous computing the self-driving cars at Tesla Google now where you don't even have to be paying attention at the car will just drive itself yeah I have TTT and the x-play stuff that we have as a step in that direction it's obviously very early but it's the beginning of a journey where you can then start taking feedback loops learning what works modeling that out and extending capabilities on your own and that is something we'll be looking at over the next few years and you know it's something where I don't think it's it's not cute and that's why it needs to be done it's actually required you know if you look at Moore's law it applies to machines so every year you will have double the number of course and you know the same dollar can buy more if you look at humans that's not true I mean ever here then you're only getting more expensive in fact lower for customers here say talent is scarce so just by that definition you see machines are growing and the people who manage the machines are shrinking or you know static so you have to put in a layer of the machine which is smart in the in the between in between of the human and the large form of machines and that if you don't do it there is no data center so it's inevitable and you'll see this happen more and more so that kind of sounds like you're you know positioning your portfolio in a way that you enable the IT of people to not care about infrastructure as much anymore but help you know the their employer their customer do other stuff so how does your portfolio relate to the freeing up of time for those employees for those jobs personnel people some of it is just goes back to the poor design principle I would go to them basic you know how do we how do we start as a company we're looking at storage and they were dual controller a and B a ties B is running but guess what I'm worried that B will also die is the same age so I have to run to fix a run to fix a is my weekend and the night wasted if I had n one dies fine of it's a capacity problem so that goes to the core like how do we design things that are scale out and web scale we talked about so everything that we do including now prism central scale out I have to rush to go fix things hardware will always fail right and that's you know it permeates in the entire organization in terms of how we design things and then on top of that you can add automation and machine intelligence and all that but fundamentally it goes to engineering when you talk about we talked about earlier in the discussion kind of the rewrite that went on for emerging applications and emerging technologies I guess what's exciting you these days you know the industry of the Hall containers you know we looked at you know Flash technology containerization you know I looked at Nutanix when it first came out as was you know some of these waves coming together hyper scale and software-defined and flash all kind of with a perfect storm for the original generation what what are what are those next waves coming together that that you think will you know have a massive impact on the industry a lot of innovation going on on every layer of the stack I mean if we start with the hardware it's been coming for a while but it's almost here now the whole concept of having persistent memory essentially dims blocks having memory that can persist across reboots and we byte addressable so this is a big difference for the storage market right we've always had block addressable story let's become flight addressable paradigms of computing will change and Wharton's will change how we write programs will change so there's a whole big wave coming and getting prepared for that was very important for you yeah and if I control into that a little bit cuz you know what I thought about you know before it was I had you know like like pull of storage and my full of compute and I had my networking and well you know what your solution is I just have a pool of infrastructure but I need specific data in specific places and latency is really important you know Amazon just announced do you know a new compute instance with hundred gigabit networking for you know the same type of application we're talking about Hana and persistent memory and the like so do we not think of it as a pool anymore it's a here you know metadata and data are gonna get more localized so how should we think of your infrastructure going forward you should think of it as a fool we should worry about making it all all work well and that's that that is essentially our job if we can succeed at that then you would never have to think about it as well this particular you know storage is allocated with this particular application at this current time it's up to us to make that happen as applications are running from your direction you feel you know absolutely another thing that's happening in IT in the in the space of compute is the upper limit of this pool is being hidden right so for example in the old days those discs then there was a virtual disc but it had a capacity and you would format it when you look at s3 doesn't have a capacity you don't format it that's what's and that's more to application design when you don't think about the capacity of the pool that you're using that's the direction where we need to go and hide all this right Amina so just-in-time purchase of the next hardware that you need to get but the developer does not see the upper limit well retrieving Binnie thank you so much for sharing all that this Congrats on all the progress and look forward to what were you gonna bring on down lives down the road thanks to you for you piss car I'm Stu minimun lot more coverage here and Nutanix dot next London 2018 thanks for watching

>> Announcer: Live, from New Orleans, Louisiana, it's theCUBE, covering .NEXT Conference 2018, brought to you by Nutanix. >> Welcome back to theCUBE here in New Orleans, Louisiana. I'm Stu Miniman, with my cohost Keith Townsend, who is the CTO advisor, and this is the CTO segment. Happy to welcome back to the program, we have Binny Gill and Rajiv Mirani. Both of them are CTOs. Binny, you've got cloud services, and Rajiv, you have cloud platforms. Let's start there, when we talk about, you know, there was a survey when you registered for the event and said, what do you think of Nutanix as? Am I your server vendor, am I your HCI vendor, am I your cloud vendor, am I your mega, uber platform of everything? You've got platforms and services, help us understand a little bit how this fits and how you look at the portfolio, and we'll arm wrestle if you guys can't agree. >> Rajiv: That sounds good. >> Binny: Yeah, go ahead. >> You want to go ahead? So both of us obviously work very closely together, but broadly speaking, I look after the core stack, the storage, networking, hypervisor, including Prism, and then Binny looks more at the services we're building on top, Era, Calm, things like that, so Binny, can you explain that a bit? >> Given the breadth of the ambition that we have, right, I mean, it's good to focus on the two layers separately in some sense, build a platform that is capable of hosting a whole bunch of services. As you can see in what Amazon and others have evolved, they've spent a lot of time building platform, and if you think about it, even Nutanix, for the last seven, eight years, has done a really good job. And once you have a solid foundation, and building cloud requires some new capabilities as well, as Rajiv has said, networking and security on top, now you can start building services, and services themselves have a stack, right? Because there will be higher-level services that use some lower-level services and this. So that's, you know, that's a long journey ahead of us. >> Yeah, I mean, that's a great point, 'cause every time, it seems like we have, you know, oh, this next-generation thing, I'm not going to have to worry about the underlying thing. Virtualization's going to totally abstract it. We've spent a decade fixing the storage and networking challenges there. Containerization, once again, it's like the application done there. Serverless, of course, will take care of all this, but you know, everything underneath it, it still needs work. How do you balance and give us some of that, you know, what's the glue versus abstracting and going to developers? Maybe let's start with platform. >> Well, the platform's always going to be there, right, and as we look at things like containers, that's actually where things get messy. How do containers work with storage, is one of the bigger issues right now with Kubernetes and other frameworks. So we have to start with a platform, we build on top of that and hopefully abstract enough that, you know, the services themselves don't have to deal with the messiness of the platform. >> Yeah, if you look at how technology is evolving, the more things change, the more they remain the same. The platform used to be Linux, Windows, I mean, that's the operating system on which I build my applications, right? Now, the new platform is cloud. AWS is a platform, is an OS, and Azure is one OS, and how do you build applications that can run on these new, next-generation platforms? But the kind of problems to solve are still the same. I want to snapshot my application, back it up, I want to move my application one place to the other, I want to scale it out, scale it in. So the problems are identical to what we had, but it's just that solving it with the new tools that we have, Kubernetes, containers, and so on. >> Yeah, and sometimes birds just fly right through our studio. >> Yeah, I mean, we worry about bugs, and now we have birds flying in. >> So, Rajiv, talk to us about, you basically have two different types of cloud clusters. You have to serve Binny's organization, you also have to serve your external clients. Storage, network, compute, has to have APIs, has to have capabilities, basic capabilities that both your customers who want to build their own overlay, and then Nutanix services on top. Talk to me about, how do you make sure that you're building the best cloud platform to be consumed by cloud services, whether they're Nutanix cloud services or someone else's. >> I think, just comes out of the core principles that we have built the company around, right, that we will always build things around web-scale design, so it has to scale to very large deployments, it has to be completely distributed, it has to go through a certain amount of vetting, in terms of having APIs exposed. Nothing we do internally is through secret APIs, everything is public APIs, so you're pretty stringent on some of these things. And then of course, layering on the simplicity of Nutanix is another thing that we take very, very seriously, so when we do all that, nice patterns emerge. I think it lends itself to an elegance that the platform provides for the rest of the stack. >> So, then we get to a confusing abstraction, which is, you mentioned it earlier, containers. Who gets containers? Is that your organization, is that your organization? Is it a fundamental part of the foundation, or is it a cloud service? >> I think the trick is to not necessarily worry too much about the boundary here, because frankly, this is something that the industry is still figuring out, you know, what layer is this new Kubernetes thing at? And is it just at containers, but actually, now it's going into all the way, application provisioning, load balancing, distributed routing, all sorts of things, so that's, I mean, we work as a team essentially, and there's a whole bunch of engineers that are looking at the whole picture, it's always very important to look at the entire picture and then figure out what are the right layers to go solve the problem, and when you're looking at containers, the bigger problem that our customers are talking about is, how do you deal with the legacy plus the containers in one environment? Now, I have my application, it's a three-tier application. The database, I still want to run in a VM, right? But I want to start tasting this Kubernetes thing, so I want to go with my app, the web tier with containers, but it needs to be in one view, and that's what Calm demonstrated. Through Calm, you can orchestrate an application that's part VM, part containers with Kubernetes and help our customers transition. So which layer these things are, it's going to be an evolving answer. >> So Binny, I love that you started the conversation around Calm. Is Calm the first interaction that most customers will experience when it comes to Nutanix cloud services, or is there a different, one of the other services, the more likely first experience of cloud services versus the trivial compute, storage, network. >> Right, so the first cloud service that we have announced, that we'll deliver, is DR, right? I mean, that's the first one with Xi. Once DR is available, very quickly we'll add more services. Beam is another one that has to fold in to the Xi cloud services. When I say fold in, it essentially means you have the same identity, and you have the same billing mechanisms, and the same experience. You know, similar to when you go to a public cloud, you'll see, there's a host of services, and they're sort of equals, and you can pick whichever one you want to use. What we want to provide with Xi cloud services is that, the same experience, except that these services are now hybrid. You can have them on-prem, you can have it in the cloud. And our teams are building this hybrid view, some of which, the preview of it, what you already saw in the demo there, you saw availability zones on both sides, shown on one screen, now you'll see the service footprint on both sides, on one screen. >> Stu: Yeah, Rajiv-- >> From an experience point of view, I think, Calm will be how people who see this for the first time, that's going to be the center marketplace that we will have, that's where people will launch services from. >> Right, so when you, where's the portal for cloud services, and as I understand, Calm is that portal. >> Calm is a lot more than that, it'll have not just services but applications and workloads as well. But yes, the experience will start with Calm. >> When you talk about a hybrid cloud world in the platform, people are trying to understand what exactly lives where. When we hear kind of Xi, wonder if you might be able to give us kind of a compare-contrast of, say, that you look at VMware, and VMware and Amazon is kind of an easy one to understand, as it's relatively the same stack, just living in a different data center. >> So we're doing things a little bit differently. While we are building our own cloud data centers today, we're architecting it in a way that we're not tying it down to any single stack, that it has to be only a Nutanix-oriented stack. We absolutely intend to scale this out by partnering with service providers, with cloud vendors, and so on. You saw something in the keynote yesterday about running nested on GCP. You can imagine where that will go in the future, but the cloud's also on the radar. Much like we did with our HCI stack, we ship them Supermicro, but we're conscious of the fact that it's software that we can move anywhere. We are building Xi exactly the same. >> Yeah, and what I'd add is, while we are doing it in our own data centers right now, we are learning a lot, and as we are learning the things that are truly needed to make running a cloud easy, from an operational perspective, that allows us to build a product that is an honest product to give to our partners and service providers, say, now you go run it, and you won't be spending too much. For example, the experience that they've had with OpenStack, it cannot be repeated again, right? So that's what we want to do. >> So let's talk about the relationship with Google as a model going forward. Is that prototypical of what you're looking to do with other public cloud providers? And first, give us some color around that announcement, we have anyone on theCUBE talk about Xi and Google, and then kind of the strategy moving forward. >> A lot of the public cloud vendors are actually realizing that hybrid cloud is important, and as part of that, they're providing bare-metal services, and Google has its nested service, to enable others to bring their own stack, you know, virtualization stack, to run there. Amazon has done it VMware, Amazon has also announced their intention to gear bare-metal services. So we see a future where a lot of these public cloud vendors will offer bare metal, and that's where our Xi stack will run, and also giving customers choice to go from one cloud to the other seamlessly. Today, we know that Nutanix can move from public Xi cloud to on-prem and back, but once you have Xi cloud running on multiple cloud vendors and you can move between cloud vendors seamlessly as well. And that's a really compelling message for our customers. >> Great. One of the challenges for some of us watching is, you've got a pretty big portfolio now, and some of the things out in the future, it's like, okay, where does Nutanix fit, how do they have the right to participate in this? Wonder if you can talk a little bit about Era, and maybe Sherlock is a little bit further out. >> Era is about managing copies of your databases. Again, if you look at where a lot of cost is sunk in enterprises, running my database, a production database, for every single production database, there'll be maybe tens of test copies of it. What Era does is minimizes the cost of managing the copies, and also, it's thinly-provisioned copies. That's something that our customers have said that's a real pain point for them that nobody solves really well. So we decided to work on that, that's just a starting point of what we can do in this PaaS layer and also, helps us learn this space as well. We are reaching out to not the infrastructure admin, but actually to the database admin. It gives us a new audience to talk to as well. So from an audience perspective, we are broadening the scope, we are reaching closer to their lines of businesses and the decision-makers, which is good. Now, going to Sherlock-- >> Actually, if I could just, one quick followup on the database piece. Database migration's really hard. You know, talk to any customer and you say database migration, it's one of the things that strikes fear in them. Talk just for a second if you could about the expertise that your team has and why you believe you can really deliver that push-bus and simplicity that Nutanix is known for. >> Oh, so yeah, the team that's building Era are hardcore Oracle folks who have decades of experience doing those kind of hard problems, and they've come here with a mission, into Nutanix, that we are going to solve it. Using the Nutanix platform that we have built, there are so many things that can be done in a better way, and since we have a clean slate, we can start afresh and do it the right way. From our capability to do it in the right way, making it simple for our customers, we don't have a doubt. In fact, a lot of customers who have tested this in alpha, they have raving reviews on that, and they just want it as soon as possible. >> And on the database migration subject, we also have a group called SQL Xtract that we've been shipping for some time that helps you migrate your databases from existing three-tier or even hyperconverged stacks, onto Nutanix. So we have some expertise in the area already. >> So, a little bit on the, I heard the term copy data management. Is this mainly copy data management, or is this actually database migration to a new, to ability to move from one database to another one, or is it all of the above? >> So, it's doing management of copies, it's also allowing you to clone databases. So you can go to a snapshot and clone another one. Migration is not yet there, but it's a natural consequence of the capabilities that we have, because once you have snapshots, we have the capability of moving snapshots from one data center to the other using our DR capabilities. So that's on the roadmap. Further down the roadmap is database provisioning itself. If you want to provision a brand-new database, you can also do that, so these are the natural transitions of work, but what we wanted to do, just like what we did with Xi, start with the hardest, thorniest problem, and then work backwards into the simple things. >> Alright, so unfortunately, we're running short on time. Give us a closing word, I want, Rajiv and Binny, maybe you can talk a quick second about project Sherlock and give us some things that we should look for down the road from Nutanix. >> Yeah, so we believe that the world needs an enterprise cloud operating system. What that means is it can run on the private cloud, in the public cloud, and on the edge, and Sherlock comes there, I mean, it's taking our stack and creating a mini-PaaS version, as you saw in the demo, and running it at the edge in a way that all of your footprint appears like one dispersed cloud. And that's a pretty exciting space, and we think that is the key differentiator that we'll have going forward. >> Any final words, Rajiv? >> I think he covered quite a fair amount of ground, so yeah, thanks for having us on. >> Alright, well, it goes back to really that distributed architecture, the core. Appreciate having the conversation, the CTO roundtable, as it were. Binny, Rajiv, always a pleasure to catch up. For Keith Townsend, I'm Stu Miniman, back with more here. Thanks for watching theCUBE. (techno music)

>> Announcer: Live from New Orleans, Louisiana it's the Cube, covering Dot Next Conference 2018. Brought to you by Nutanix. >> Welcome back, I'm Stu Miniman here at the Cube in New Orleans, the Nutanix Dot Next Conference. Joining me is Keith Townsend, going wall-to-wall with interviews for two days. And going to dig into some really geeky techy stuff, Micro segmentation and the like. Happy to welcome to the program two first-time guests, Harjot Gill, who is the Senior Director of product and engineering at Nutanix and Rajiv Mirani, who's the CTO of Cloud Platform. Thank you both for joining us. >> Both: Thanks, thanks for having us. >> Alright, so Rajiv you've been with Nutanix for a bit, so we're going to get Harjot first. So we beat four acquisitions that Nutanix has made in the software space in the last year or so. One of them was Netsil. >> Harjot: Yes. >> So bring us back. You were and are the CEO of the Netsil Group. Tell us, kind of, a why of the company, size of the team, things like that. >> That's good yeah, so previously, as I was co-founder and CEO of Netsil, which I don't know whether you noticed, is listen spelled backwards. And, essentially, it was like microservices analytics platform and the core technology of Nexus was, where designers at University of Pennsylvania in the research group. That's where most of my team came from. It's a really small team, like just 10 engineers, who took on this like very interesting challenge in the industry as micro services were taking off, applications were, like, ported to modern platforms, like kubernetes. We saw an opportunity to take, like, a network centric approach in doing performance analysis and liability analysis. And the product that we built is very interesting. It can be thought of as, like, Google Maps for your cloud applications just like Splunk, in the past, was Google search for data center. So we came up with this concept where you can, like, visualize different abstractions and different virtualization layers of your application delivery. And that was our product. >> Alright, Rajiv, we've been talking about the, really, expansion of services that you're offering. You know, security and networking, obviously a big space. So first of all, not not a Stanford team that you brought in but University of Pennsylvania. Explain a little bit for us justification, how Netsil fits in with the Nutanix portfolio. >> Yeah, the Netsil Technology is unique in many different ways and we actually see a lot of different applications for it. The core product that they have today, the way they do performance monitoring by staying just on the network, not installing any host agents. It's pretty unusual. It's something that we really liked about the technology. The fact that they can do this at layer seven can actually look at application data to deep packet inspection at line speed. It's even more impressive. And they really build at the scale out architecture based on Harjot's research work. We looked at that and we said, "hey look, this can be used for performance monitoring, it can be used for application discovery, it can be used for security operations." There's just so many different directions we can take this in. And it's a great team that's built it with a relatively small number of people. We want these guys to be working with us not not as a separate company. And it moved very quickly. The acquisition happened quite quickly. We talked a little bit this morning about how they're going to use it for micro segmentation but there's many other use cases we see coming down the pike. >> So let's talk a little bit about the enterprise of applicability. You know, when you guys looked at it, you mainly looked at containers and the challenges of a micro, i'm sorry, of multi services and basically twelve fact applications. >> Harjot: Yeah. >> How is that applicable to the typical enterprise, which 90% of their applications are modern lifts. Same capability? What what capabilities are you bringing to Bear for traditional application? >> It's pretty applicable everywhere because network is a very stable source of truth, like what remains constant in the legacy as well as in the new world is your TCP/IP stack. And it's a very stable source of truth to tap into. So one of the value proposition that Netsil had with an offer very, like, the early enterprise customers that we signed up, was helping them migrate from this monolithic architectures to micro services. And their existing tools on the market, if you look at APM tools or even the logging tools, were inadequate when taking them on this journey. And you can think of Netsil as a very pervasive solution. I mean, the analogy that I usually give people is, like drones versus troops on the ground. Where Netsil can quickly set up, like a breadth of coverage in any environment, whether it's like Legacy or micro services, you are covered. And and then once you find issues in your environment with security issues or performance issues, you can systematically drill in. Either add more instrumentation creating or add policies with micro segmentation. That was the whole idea. So there was a gap in the market for this kind of a tool. >> So let's talk about integration of Nutanix. One of the, what I'm calling, first principles for Nutanix is, push button one click easy. >> [Harjot And Rajiv] Yes. >> What does the Netsil application look like in a Nutanix environment to the Nutanix administrator? >> So let's take the micro segmentation example again, right. So today, if you were to micro segment an existing application, it's pretty hard to know where to begin. So Netsil described it as a hairy problem but we know he likes hair. But what Netsil does is it takes all the data it's gathering from the network and it gives you all this visibility into how every part of your application is interacting with each other. You can group it in different ways, so it's not just about VMs talking to Vms. If you have a micro services based application, that's actually very little value. You really want, which services are talking to each service or even more, which service tiers are talking to which service tiers. But gathering all that data, we can actually fully automate the creation of micro segmentation policies for existing applications. So today what we saw was more of a manual thing. We've set it up previously. It's just that we haven't enough time to do integration yet. You expect that to become completely automated. Similarly with the remediation stuff, the troubleshooting stuff. We have it integrated with the Netsil technology, with the machine learning things that we have been working on. Once we do that, we can explain a lot more automated insights into your applications, integrated alert system, integrated with our metrics and stat systems. So a lot of work to do but a lot of potential for this technology, I think. >> So yeah, so it actually does solve this chicken and an egg problem, as Rajiv said, with actually making micro segmentation operational by first discovering these ground field apps and then suggesting policies, right? And all the goodness of Netsil will be brought on to, like, products like Prism, where out-of-the-box, Netsil can provide visibility and metrics for workloads such as VDI and all the packaged applications and all the Mongo Db and all of the stuff that is hosted on top of Nutanix platform and selling it to the same ID ops. >> Harjot, the space you're playing in is really changing so so fast. >> Harjot: Yes it is. >> Talk about micro segmentation and containers and serverless and the like. What, at its core, will allow your product to be able to stay up with the pace of change? >> So the code of the product, as I mentioned, I mean, it's network based, so one of the things, like, you get with that is, like, it's a very stable source of truth. So your languages keep evolving. So in if you look at the, I mean, this mind-boggling introduction of, like, open source technologies into enterprise environments, which you don't control what languages they are written in. And your developers are like picking up the latest and greatest tools. So in that world the core of the technology, which is like network based, still works the same and that allows us to be ,like, really future-proof this thing here. >> Languages of frameworks change. The network protocols are much more stable. >> Yet, to some people's chagrin, the protocols don't change. So let's talk a little bit about products and overlap of products. One of the, I think, confusing points, or can be confusing, is where Netsil fits in when it comes to Comm and overall to Zai. Where, where's the interaction and overlap or what's the relative? >> Yeah, so you can think of every workload in the cloud as a coup de loop, observe, orient, decide, and act. Now what Comm helps the customer is to like act faster, right. Whereas Netsil comes in and provides the observe and the orient piece. So it's all part of the same workload workflow. If you are an IT ops person, you need tools to observe and help orient, so you can decide faster. And tools like Comm and kubernetes, in the future, with one click, just a few clicks, you can make massive changes to your cloud infrastructure. But without observability you are just flying blind. That's where Netsil comes in. So that's why, as you've said, as Rajiv said, like it's going to enhance a lot of areas within Nutanix and, possibly like, even continue selling as a multi cloud monitoring solution. >> Just as we do brownfield input for micro segmentation, you can imagine that it would be a great great product for Comm as well. Being able to do brownfield import of applications and making them into Comm blueprints. >> Yeah, Rajiv, you've had some pent up demand from customers for the micro segmentation piece but give us a little bit.. You said there's other applications, what should we be expecting to see from the Netsil product line? >> So as CTU I can talk future, so let me tell you some stuff on the kubernete timelines. One great area for us to explore is around security operations. Since since Netsil is already in the net world looking at all traffic, it can easily establish a baseline, of which Vms, which containers normally talk to each other. What kind of requests to make. And it's registered at layer seven, so it can even go and look into what kind of API endpoints are normally called. And once it's base-lined this, detecting variation, selecting violations is going to be relatively simple. So we can alert on security violations, unusual behavior, services making calls to services that shouldn't be making calls to. All that kind of stuff. So that's one area for us to explore. We talked about Comm, so Comm can benefit greatly by being able to import brownfield applications into the Comm umbrella, making blueprints out of them. There's integrations with Prism Pro, which will enable the kind of metrics that Netsil is collecting and integrating it to what Prism Pro already does, putting into one single framework, adding it to capacity planning, adding in all the Prism Pro features that we have. So there's a lot of stuff we can do. >> So that's an awful lot of data. Where's this stored and what's the engine behind it? >> That's a great question. Actually, Netsil not only innovated in this unique way of collecting, we also invented a lot in-time series databases. So the back end of Netsil is powered by a database called Apache Druid, which is an OLAP time series database. So it can ingest that scale and you can run complex queries in sub-second latency XQ. So it can like summarize billions of data points at sub-second latencies. And the third thing that Netsil innovated is, in the visualizations. We are talking about, like, visualizing this complex data that is coming from these modern transforming environments. That's another area where Netsil innovated with this Maps interface to summarize and build easy-to-understand visualizations on your complex infrastructure. >> Now I'm scared that my head would explode but I would love to get you guys on with Satyam and talk through what additional data and when it comes to IOT machine learning, what additional insights. Quick question, are you guys working with Satyam at all at this point? >> We've started, like, understanding the lay of the land, so we're, like, still getting introduced to a lot of teams. As you guys know, these Nutanix is now growing very rapidly, there's so many areas to, like, learn about. And we are primarily working with a micro segmentation team right now but going forward, you will see Netsil's goodness being brought into other areas at Nutanix. >> Yeah, Rajiv one question I have from a software standpoint in general, where does AI fit into, you know, what you're doing with Zai and Comm? >> Yes, so for all of them, you know, we're using machine learning fairly extensively today to even do basic things like capacity planning, the what-if modeling that we've been doing. But to go beyond machine learning, if we actually invest in building an AI platform, I feel we can do a lot more in terms of root cause analysis and mediation, troubleshooting of applications, finding performance bottlenecks automatically. Essentially, really making that invisible infrastructure dream come true. We're close, we're not quite there yet. >> Yeah, and it's really about, like, getting quality data in without friction. So you have, like, AI is now being commoditized in the industry like all the algorithms are now like mainstream. So the biggest challenge has always been how do you go and capture the data at low friction? That's what Netsil brings onboard. >> Yeah, I'm super excited for the micro segmentation. Let's talk about what if customers... What has been the customer reaction to Netsil and just the new capability? >> We see a lot of excitement. This is micro segmentation barely been out, what, a couple of months at this point? And we already have fairly large customers deploying it out there, and a lot of demand for proof of concepts and so on at this point. It was very clear to us from the beginning that when people were looking at other SDN solutions, the number one use case they were using in the enterprise was for micro segmentation. So we took that, we made it as simple as we could. In true Nutanix fashion we said, "okay, let's make micro segmentation as one-click as we can." And it's been gratifying, I think, to see the initial reaction. In fact, some of the initial feedback we've gotten has been along the lines of, this is almost too simple. >> So one of the challenges that we've had in Enterprise is hybrid cloud. When you look at a EC2 instance and you have an internal database and the two communicate, that EC2 instance is ephemeral, we don't know how to handle that. Does Netsil address that challenge at all? >> It does, in fact, it's been designed for even a faster moving world of containers. I'll give you an example of kubernetes, it is, I mean, a similar example. So next Hill installs as a daemon set on kubernetes experiencing structure insertion. You are, like, independently inserting without developers. And as soon as it is installed, it's not just looking at packets, it's also like tapping into docker socket for metadata. So as soon as containers go up and down, new ones brought up, it actually pulls the metadata, the container IDs, the service IDs, kubernetes, pod names and whatnot. And then measures that to the metrics that we are collecting. So that in the UI, as you saw in the demo today, you're not so much slicing and dicing by IP addresses. You're slicing and dicing by that service tax, so your BMS can come and go, containers can come and go. But we are looking at the behavior of this group of cattle, and you know the cattle versus pets analogy, the whole idea in the new world is, to like, create these services as the new pets and your cattle are ephemeral, and the whole idea that Netsil can discover micro-services, discover the boundary of micro services by looking at layer 7 behavior and by smartly grouping things based on the behavior. So we know exactly what a MySQL database and different installations of MySQL look like based on the behavior and the query behavior, and group them together. >> So enforcement. And is that at the bot level or is that at the container level? >> So on the enforcement side, Netsil is mostly on the visibility. So on the micro segmentation side there is... >> Today micro-segmentation, of which for Vms as we build out our next version of container services, we are looking into building a micro segmentation for kubernetes as well, and that will be at the bot level. >> Alright Kieth, I'm looking forward to this is CTO advisor podcast, digging a little bit more into micro-segmentation. It may be Rajiv and.. >> We'll have them on for sure. >> ...and Harjot can stop by so time. But thank you gentlemen so much for coming. Congratulations on the update. Looking forward to hearing more. Keith and I have a little bit more here left of day one of Nutanix dot next 2018. I'm Stu Miniman, Kieth Townsend. Thank you for watching the Cube. (Electronic Music)