>> Narrator: From around the globe, it's theCube. With digital coverage of VMworld 2020. Brought to you by VMware and its ecosystem partners. >> Hello, and welcome back to theCube virtual coverage of VMworld 2020. I'm John Furrier, host of theCube. VMworld's not in person this year, it's on the virtual internet. A lot of content, check it out, vmworld.com, a lot of great stuff, online demos, and a lot of great keynotes. Here we got a great conversation to unpack, the NVIDIA, the AI and all things Cloud Native. With Krish Prasad, who's the SVP and GM of Cloud Platform, Business Unit, and Manuvir Das head of enterprise computing at NVIDIA. Gentlemen, great to see you virtually. Thanks for joining me on the virtual Cube, for the virtual VMworld 2020. >> Thank you John. >> Pleasure to be here. >> Quite a world. And I think one of the things that obviously we've been talking about all year since COVID is the acceleration of this virtualized environment with media and everyone working at home remote. Really puts the pressure on digital transformation Has been well discussed and documented. You guys have some big news, obviously on the main stage NVIDIA CEO, Jensen there legend. And of course, you know, big momentum with with AI and GPUs and all things, you know, computing. Krish, what are your announcements today? You got some big news. Could you take a minute to explain the big announcements today? >> Yeah, John. So today we want to make two major announcements regarding our partnership with NVIDIA. So let's take the first one, and talk through it and then we can get to the second announcement later. In the first one, as you well know, NVIDIA is the leader in AI and VMware as the leader in virtualization and cloud. This announcement is about us teaming up, deliver a jointly engineered solution to the market to bring AI to every enterprise. So as you well know, VMware has more than 300,000 customers worldwide. And we believe that this solution would enable our customers to transform their data centers or AI applications running on top of their virtualized VMware infrastructure that they already have. And we think that this is going to vastly accelerate the adoption of AI and essentially democratize AI in the enterprise. >> Why AI? Why now Manuvir? Obviously we know the GPUs have set the table for many cool things, from mining Bitcoin to really providing a great user experience. But AI has been a big driver. Why now? Why VMware now? >> Yes. Yeah. And I think it's important to understand this is about AI more than even about GPUs, you know. This is a great moment in time where AI has finally come to life, because the hardware and software has come together to make it possible. And if you just look at industries and different parts of life, how is AI impacting? So for example, if you're a company on the internet doing business, everything you do revolves around making recommendations to your customers about what they should do next. This is based on AI. Think about the world we live in today, with the importance of healthcare, drug discovery, finding vaccines for something like COVID. That work is dramatically accelerated if you use AI. And what we've been doing in NVIDIA over the years is, we started with the hardware technology with the GPU, the Parallel Processor, if you will, that could really make these algorithms real. And then we worked very hard on building up the ecosystem. You know, we have 2 million developers today who work with NVIDIA AI. That's thousands of companies that are using AI today. But then if you think about what Krish said, you know about the number of customers that VMware has, which is in the hundreds of thousands, the opportunity before us really now is, how do we democratize this? How do we take this power of AI, that makes every customer and every person better and put it in the hands of every enterprise customer? And we need a great vehicle for that, and that vehicle is VMware. >> Guys, before we get to the next question, I would just want to get your personal take on this, because again, we've talked many times, both of you've been on theCube on this topic. But now I want to highlight, you mentioned the GPU that's hardware. This is software. VMware had hardware partners and then still software's driving it. Software's driving everything. Whether it's something in space, it's an IOT device or anything at the edge of the network. Software, is the value. This has become so obvious. Just share your personal take on this for folks who are now seeing this for the first time. >> Yeah. I mean, I'll give you my take first. I'm a software guy by background, I learned a few years ago for the first time that an array is a storage device and not a data structure in programming. And that was a shock to my system. Definitely the world is based on algorithms. Algorithms are implemented in software. Great hardware enables those algorithms. >> Krish, your thoughts. we live we're living in the future right now. >> Yeah, yeah. I would say that, I mean, the developers are becoming the center. They are actually driving the transformation in this industry, right? It's all about the application development, it's all about software, the infrastructure itself is becoming software defined. And the reason for that is you want the developers to be able to craft the infrastructure the way they need for the applications to run on top of. So it's all about software like I said. >> Software defined. Yeah, just want to get that quick self-congratulatory high five amongst ourselves virtually. (laughs) Congratulations. >> Exactly. >> Krish, last time we spoke at VMworld, we were obviously in person, but we talked about Tanzu and vSphere. Okay, you had Project Pacific. Does this expand? Does this announcement expand on that offering? >> Absolutely. As you know John, for the past several years, VMware has been on this journey to define the Hybrid Cloud Infrastructure, right? Essentially is the software stack that we have, which will enable our customers to provide a cloud operating model to their developers, irrespective of where they want to land their workloads. Whether they want to land their workloads On-Premise, or if they want it to be on top of AWS, Google, Azure, VMware stack is already running across all of them as you well know. And in addition to that, we have around, you know, 4,000, 5,000 service providers who are also running our Platform to deliver cloud services to their customers. So as part of that journey, last year, we took the Platform and we added one further element to it. Traditionally, our platform has been used by customers for running via VMs. Last year, we natively integrated Kubernetes into our platform. This was the big re architecture of vSphere, as we talked about. That was delivered to the market. And essentially now customers can use the same platform to run Kubernetes, Containers and VM workloads. The exact same platform, it is operationally the same. So the same skillsets, tools and processes can be used to run Kubernetes as well as VM applications. And the same platform runs, whether you want to run it On-Premise or in any of the clouds, as we talked about before. So that vastly simplifies the operational complexity that our customers have to deal with. And this is the next chapter in that journey, by doing the same thing for AI workload. >> You guys had great success with these Co-Engineering joined efforts. VMware and now with NVIDIA is interesting. It's very relevant and is very cool. So it's cool and relevant, so check, check. Manuvir, talk about this, because how do you bring that vision to the enterprises? >> Yeah, John, I think, you know, it's important to understand there is some real deep Computer Science here between the Engineers at VMware and NVIDIA. Just to lay that out, you can think of this as a three layer stack, right? The first thing that you need is, clearly you need the hardware that is capable of running these algorithms, that's what the GPU enable. Then you need a great software stack for AI, all the right Algorithmics that take advantage of that hardware. This is actually where NVIDIA spends most of its effort today. People may sometimes think of NVIDIA as a GPU company, but we have much more a software company now, where we have over the years created a body of work of all of the software that it actually takes to do good AI. But then how do you marry the software stack with the hardware? You need a platform in the middle that supports the applications and consumes the hardware and exposes it properly. And that's where vSphere, you know, as Krish described with either VMs or Containers comes into the picture. So the Computer Science here is, to wire all these things up together with the right algorithmics so that you get real acceleration. So as examples of early work that the two teams have done together, we have workloads in healthcare, for example. In cancer detection, where the acceleration we get with this new stack is 30X, right? The workload is running 30 times faster than it was running before this integration just on CPUs. >> Great performance increase again. You guys are hiring a lot of software developers. I can attest to knowing folks in Silicon Valley and around the world. So I know you guys are bringing the software jobs to the table on a great product by the way, so congratulations. Krish, Democratization of AI for the enterprise. This is a liberating opportunity, because one of the things we've heard from your customers and also from VMware, but mostly from the customer's successes, is that there's two types of extremes. There's the, I'm going to modernize my business, certainly COVID forcing companies, whether they're airlines or whatever, not a lot going on, they have an opportunity to modernize, to essentially modern apps that are getting a tailwind from these new digital transformation accelerated. How does AI democratize this? Cause you got people and you've got technology. (laughs) Right? So share your thoughts on how you see this democratizing. >> That's a very good question. I think if you look at how people are running AI applications today, like you go to an enterprise, you would see that there is a silo of bare metal sun works on the side, where the AI stack is run. And you have people with specialized skills and different tools and utilities that manage that environment. And that is what is standing in the way of AI taking off in the enterprise, right? It is not the use case. There are all these use cases which are mission critical that all companies want to do, right? Worldwide, that has been the case. It is about the complexity of life that is standing in the way. So what we are doing with this is we are saying, "hey, that whole solution stack that Manuvir talked about, is integrated into the VMware Virtualized Infrastructure." Whether it's On-Prem or in the cloud. And you can manage that environment with the exact same tools and processes and skills that you traditionally had for running any other application on VMware infrastructure. So, you don't need to have anything special to run this. And that's what is going to give us the acceleration that we talked about and essentially hive the Democratization of AI. >> That's a great point. I just want to highlight that and call that out, because AI's every use case. You could almost say theCube could have AI and we do actually have a little bit of AI and some of our transcriptions and work. But it's not so much just use cases, it's actually not just saying you got to do it. So taking down that blocker, the complexity, certainly is the key. And that's a great point. We're going to call that out after. Alright, let's move on to the second part of the announcement. Krish Project Monterey. This is a big deal. And it looks like a, you know, kind of this elusive, it's architectural thing, but it's directionally really strategic for VMware. Could you take a minute to explain this announcement? Frame this for us. >> Absolutely. I think John, you remember Pat got on stage last year at Vmworld and said, you know, "we are undertaking the biggest re architecture of the vSphere platform in the last 10 years." And he was talking about natively embedding Kubernetes, in vSphere, right? Remember Tanzu and Project Pacific. This year we are announcing Project Monterrey. It's a project that is significant with several partners in the industry, along with NVIDIA was one of the key partners. And what we are doing is we are reimagination of the data center for the next generation applications. And at the center of it, what we are going to do is rearchitect vSphere and ESX. So that the ESX can normally run on the CPU, but it'll also run on the Smart Mix. And what this gives us is the whole, let's say data center, infrastructure type services to be offloaded from running on the CPU onto the Smart Mix. So what does this provide the applications? The applications then will perform better. And secondly, it provides an extra layer of security for the next generation applications. Now we are not going to stop there. We are going to use this architecture and extended it so that we can finally eliminate one of the big silos that exist in the enterprise, which is the bare metal silo. Right? Today we have virtualized environments and bare metal, and what this architecture will do is bring those bare metal environments also under ESX management. So you ESX will manage environments which are virtualized and environments which are running bare metal OS. And so that's one big breakthrough and simplification for the elimination of silo or the elimination of, you know, specialized skills to keep it running. And lastly, but most importantly, where we are going with this. That just on the question you asked us earlier about software defined and developers being in control. Where we want to go with this is give developers, the application developers, the ability to really define and create their run time on the Fly, dynamically. So think about it. If dynamically they're able to describe how the application should run. And the infrastructure essentially kind of attaches computer resources on the Fly, whether they are sitting in the same server or somewhere in the network as pools of resources. Bring it all together and compose the runtime environment for them. That's going to be huge. And they won't be constrained anymore by the resources that are tied to the physical server that they are running on. And that's the vision of where we are taking it. It is going to be the next big change in the industry in terms of enterprise computing. >> Sounds like an Operating System to me. Yeah. Run time, assembly orchestration, all these things coming together, exciting stuff. Looking forward to digging in more after Vmworld. Manuvir, how does this connect to NVIDIA and AI? Tie that together for us. >> Yeah, It's an interesting question, because you would think, you know, okay, so NVIDIA this GPU company or this AI company. But you have to remember that INVIDIA is also a networking company. Because friends at Mellanox joined us not that long ago. And the interesting thing is that there's a Yin and Yang here, because, Krish described the software vision, which is brilliant. And what this does is it imposes a lot on the host CPU of the server to do. And so what we've be doing in parallel is developing hardware. A new kind of "Nick", if you will, we call it a DPU or a Data Processing Unit or a Smart Nick that is capable of hosting all this stuff. So, amusingly when Krish and I started talking, we exchanged slides and we basically had the same diagram for our vision of where things go with that software, the infrastructure software being offloaded, data center infrastructure on a chip, if you will. Right? And so it's a very natural confluence. We are very excited to be part of this, >> Yeah. >> Monterey program with Krish and his team. And we think our DPU, which is called the NVIDIA BlueField-2, is a pretty good device to empower the work that Krish's team is doing. >> Guys it's awesome stuff. And I got to say, you know, I've been covering Vmworld now 11 years with theCube, and I've known VMware since its founding, just the evolution. And just recently before VMworld, you know, you saw the biggest IPO in the history of Wall Street, Snowflake an Enterprise Data Cloud Company. The number one IPO ever. Enterprise tech is so exciting. This is really awesome. And NVIDIA obviously well known, great brand. You own some chip company as well, and get processors and data and software. Guys, customers are going to be very interested in this, so what should customers do to find out more? Obviously you've got Project Monterey, strategic direction, right? Framed perfectly. You got this announcement. If I'm a customer, how do I get involved? How do I learn more? And what's in it for me. >> Yeah, John, I would say, sorry, go ahead, Krish. >> No, I was just going to say sorry Manuvir. I was just going to say like a lot of these discussions are going to be happening, there are going to be panel discussions there are going to be presentations at Vmworld. So I would encourage customers to really look at these topics around Project Monterey and also about the AI work we are doing with NVIDIA and attend those sessions and be active and we will have a ways for them to connect with us in terms of our early access programs and whatnot. And then as Manuvir was about to say, I think Manuvir, I will give it to you about GTC. >> Yeah, I think right after that, we have the NVIDIA conference, which is GTC, where we'll also go over this. And I think some of this work is a lot closer to hand than people might imagine. So I would encourage watching all the sessions and learning more about how to get started. >> Yeah, great stuff. And just for the folks @vmworld.com watching, Cloud City's got 60 solution demos, go look for the sessions. You got the EX, the expert sessions, Raghu, Joe Beda amongst other people from VMware are going to be there. And of course, a lot of action on the content. Guys, thanks so much for coming on. Congratulations on the news, big news. NVIDIA on the Bay in Virtual stage here at VMworld. And of course you're in theCube. Thanks for coming. Appreciate it. >> Thank you for having us. Okay. >> Thank you very much. >> This is Cube's coverage of VMworld 2020 virtual. I'm John Furrier, host of theCube virtual, here in Palo Alto, California for VMworld 2020. Thanks for watching. (upbeat music)

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. Alright, welcome back to help us dig into this discussion and happy to welcome to the program. Chris Prasad. He is the senior vice president and general manager of the V Sphere business And just Simon, chief technologist for the high performance computing group. Both of them with VM ware. Gentlemen, thanks so much for joining. >>Thank you for having us. >>All right, Krish. When VM Ware made the bit fusion acquisition, everybody was looking the You know what this will do for this space GP use? We're talking about things like AI and ML. So bring us up to speed. As to, you know, the news today is the what being worth doing with fusion. >>Yeah. Today we have a big announcement. I'm excited to announce that, you know, we're taking the next big step in the AI ml and more than application strategy. With the launch off bit fusion, we just now being fully integrated with the V Sphere seven black home and we'll be releasing this very shortly to the market. As you said when we acquired institution a year ago, we had a showcase that's capable base as part of the normal event. And at that time we laid out a strategy that part of our institution as the cornerstone off our capabilities in the platform in the Iot space. Since then, we have had many customers. Take a look at the technology and we have had feedback from them as well as from partners and analysts. And the feedback has been tremendous. >>Excellent. Well, Chris, what does this then mean for customers, you know, what's the value proposition? That diffusion brings the visa versa? >>Yeah, if you look at our customers, they are in the midst of a big ah journey in digital transformation. And basically, what that means is customers are building a ton of applications, and most of those applications have some kind of data analytics or machine learning embedded in it. And what this is doing is that in the harbor and infrastructure industry, this is driving a lot of innovation. So you see the admin off a lot off specialized accelerators, custom a six FPs. And of course, the views being used to accelerate the special algorithms that these ai ml type applications need And, um, unfortunately, customer environment. Most of these specialized accelerators in a bare metal kind of set up. So they're not taking advantage off optimization and everything that it brings to that. Also, with fusion launched today, we are essentially doing the accelerator space. What we need to compute several years ago. And that is, um, essentially bringing organization to the accent leaders. But we take it one step further, which is, you know, we use the customers the ability to pull these accelerators and essentially going to be a couple of from the server so you can have a pool of these accelerators sitting in the network, and customers are able to then target their workloads and share the accelerators, get better utilization, drive a lot of cost improvements and, in essence, have a smaller pool that they can use for a whole bunch of different applications across the enterprise. That is a huge enabler for our customers. And that's the tremendous positive feedback that we get getting both from customers as well. >>Excellent. Well, I'm glad we've got Josh here to dig into some of the pieces, but before we get to you they got Chris. Uh, part of this announcement is the partnership of VM Ware in Dell. So tell us about what the partnership is in the solutions for for this long. >>Yeah. We have been working with the Dell in the in the AI and ML space for a long time. We have, ah, good partnership there. This just takes the partnership to the next level, and we will have, ah, execution solution support in some of the key. I am. It'll targeted the words like the sea for 1 40 the r 7 40 Those are the centers that would be partnering with them on and providing solutions. >>Okay, Tough. Take us in a little bit further as how you know the mechanisms of diffusion work. >>Yeah, that's a great question. So think of it this way. There there is a client component that we're using in a server component. The server component is running on a machine that actually has the physical GP use installed in it. The client machine, which is running the bit fusion client software, is where the user, the data scientist, is actually running their machine machine learning application. But there's no GPU actually in that host. And what is happening with fusion technology is that it is essentially intercepting the Cuda calls that are being made by that machine learning application and promoting those protocols over to the bit fusion server and then injecting them into the local GPU on the server. So it's actually, you know, we call it into a position in the ability that remote these protocols, but it's actually much more sophisticated than that. There are a lot of underlying capabilities that are being deployed in terms of optimization who takes maximum advantage of the, uh, the networking link that's it between the client machine and the server machine. But given all of that, once we've done it with diffusion, it's now possible for the data scientist either consume multiple GP use for single GPU use or even fractional GP use across that interconnected using the using technology. >>Okay, maybe it would help illustrate some of these technologies. If you got a couple of customers. >>Yeah, sure. So one example would be a retail customer. I'm thinking of who is. Actually it's ah grocery chain that is deploying ah, large number of video cameras into their into their stores in order to do things like, um, watch for pilfering, uh, identify when storage store shelves could be restocked and even looking for cases where, for example, maybe a customer has fallen down in denial on someone needs to go and help those multiple video streams and then multiple applications that are being run that part are consuming the data from those video screens and doing analytics and ml on them would be perfectly suited for this type of environment where you would like to be ableto have these multiple independent applications running. But having them be able to efficiently share the hardware resources of the GP is another example would be retailers who are deploying ML our check out registers who helped reduce fraud customers who are buying, buying things with, uh, fake barcodes, for example. So in that case, you would not necessarily want to deploy ah single dedicated GPU for every single check out line. Instead, what you would prefer to do is have a full set of resource. Is that each inference operation that's occurring within each one of those check out lines but then consume collectively. That would be two examples of the use of this wonderful in technology. >>Okay, great. So, Josh, last question for you is this technology is this only for use and anything else? You can give us a little bit of a look forward as to what we should be expecting from the big fusion technology. >>Yeah. So currently, the target is specifically NVIDIA gpu use with Buddha. Ah, the team, actually, even prior to acquisition had done some work on enablement of PJs. And also, I have done some work on open CL, which is more open standard for device access. So what you will see over time is an expansion of the diffusion capabilities to embrace devices like F PJs of the domain. Specific. A six that was referring to earlier will roll out over time, but we are starting with the NVIDIA GPU, which totally makes sense, since that is the primary hardware acceleration. And for deep learning currently >>excellent. Well, John and Chris, thank you so much for the updates to the audience. If you're watching this live leads growing, the crowd chat out Im to ask your questions. This page, if you're watching this on demand, you can also go to crowdchat dot net slash make ai really to be able to see the conversation that we had. Thanks so much for joy. Yeah, yeah, yeah, >>yeah.

[Music] hello and welcome to the Palo Alto students leaky bomb John Farrar we're here for a special cube conversation and special report big news from VMware discuss the launch of the availability of vSphere 7 I'm here with Chris Prasad SVP and general manager of the vSphere business and cloud platform business unit and Paul Turner VP a VP of Product Management guys thanks for coming in and talking about the big news thank you for having us you guys announced some interesting things back in march around containers kubernetes and the vSphere Chris just about the hard news what's being announced today we are announcing the general availability of vSphere 7 John it's by far the biggest release that we have done in the last 10 years we previewed it this project Pacific a few months ago with this release we are putting kubernetes native support into the vSphere platform what that allows us to do is give customers the ability to run both modern applications based on kubernetes and containers as well as traditional VM based applications on the same platform and it also allows the IT departments to provide their developers cloud operating model using the VMware cloud foundation that is powered by this release this is a key part of our tansu portfolio of solutions and products that we announced this year and it is star gated fully at the developers of modern applications and the specific news is vSphere 7 is general available generally vSphere 7 yes ok that so let's on the trend line here the relevance is what what's the big trend line that this is riding obviously we saw the announcements at VMware last year and throughout the year there's a lot of buzz pascal sternness says there's a big wave here with kubernetes what does this announcement mean you guys with the marketplace trend yeah so what kubernetes is really about is people trying to have an agile operation they're trying to modernize their IT applications and they the best way to do that is build off your current platform expand it and make it a an innovative a agile platform for you to run kubernetes applications and VM applications together I'm not just that customers are also looking at being able to manage a hybrid cloud environment both on pram and public cloud together so they want to be able to evolve and modernize their application stack but modernize their infrastructure stack which means hybrid cloud operations with innovative applications kubernetes or container based applications on VMs what's excited about this trend increase we were talking with us at vmworld last year and we've had many conversations around cloud native but you're seeing cloud native becoming the operating model for modern business I mean this is really the move to the cloud if you look at the successful enterprises and even the suppliers the on-premises piece if not move to the cloud native marketplace technologies the on premise isn't effective so it's not so much on premises going away we know it's not but it's turning into cloud native this is the move to the cloud generally this is a big wave yeah absolutely I mean if John if you think about it on-premise we have significant market share by far the leader in the market and so what we are trying to do with this is to allow customers to use the current platform they are using but bring their application modern application development on top of the same platform today customers tend to set up stacks which are different right so you have a kubernetes stack you have a stack for the traditional applications you have operators and administrators who are specialized in kubernetes on one side and you have the traditional VM operators on the other side with this move what we are saying is that you can be on the same common platform you can have the same administrators who are used to administering the environment that you already had and at the same time offer the developers what they like which is kubernetes dial-tone that they can come and deploy their applications on the same platform that you use for traditional applications yeah Paul Paul Pat said kuba is gonna be the dial tone on the Internet most Millennials might even know what dial tone is but if what he meant is is that's the key fabric that's gonna work a straight and you know we've heard over the years skill gap skill gap not a lot of skills out there but when you look at the reality of skills gap it's really about skills gaps and shortages not enough people most CIOs and chief information security are so that we talk to you say I don't want to fork my development teams I don't want to have three separate teams so I don't have to I I want to have automation I want an operating model that's not gonna be fragmented this kind of speaks to this whole idea of you know interoperability and multi-cloud this seems to be the next big way behind ibrid I think it I think it is the next big wake the the thing that customers are looking for is a cloud operating model they like the ability for developers to be able to invoke new services on demand in a very agile way and we want to bring that cloud operating model to on-prem to Google cloud to Amazon Cloud to Microsoft cloud to any of our VC peepee partners you get the same cloud operating experience and it's all driven by a kubernetes based dial-tone it's effective and available within this platform so by bringing a single infrastructure platform that can one run in this hybrid manner and give you the cloud operating agility that developers are looking for that's what's key in version seven says Pat Kelsey near me when he says dial tone of the internet kubernetes does he mean always on or what does he mean specifically just that it's always available what's what's is what's the meaning behind that that phrase no I the first thing he means is that developers can come to the infrastructure which is the VMware cloud foundation and be able to work with a set of api's that are kubernetes api s-- so developers understand that they are looking for that they understand that dial tone right and you come to our VMware cloud foundation once across all these clouds you get the same API said that you can use to deploy that application okay so let's get into the value here of vSphere seven how does VMware vSphere seven specifically help customers isn't just bolting on kubernetes to vSphere some will say is it that's simple or used whether you're running product management no it's not that easy it's yeah some people say hey use bolton kubernetes on vSphere it's it's not that easy so so one of the things if if anybody's actually tried deploying kubernetes first it's highly complicated um so so definitely one of the things that we're bringing is you call it a Bolton but it's certainly not like that we are making it incredibly simple you talked about IT operational shortages customers want to be able to deploy kubernetes environments in a very simple way the easiest way that we can you can do that is take your existing environment that are out ninety percent of IT and just turn on turn on the kubernetes dial tone and it is as simple as that now it's much more than that in version seven as well we're bringing in a couple things that are very important you also have to be able to manage at scale just like you would in the cloud you want to be able to have infrastructure almost self manage and upgrade and lifecycle manage itself and so we're bringing in a new way of managing infrastructure so that you can manage just large scale environments both on-premise and public cloud environments and scale and then associated with that as well is you must make it secure so there's a lot of enhancements we're building into the platform around what we call intrinsic security which is how can we actually build in truly a trusted platform for your developers and IT yeah I mean I was just going to touch on your point about the shortage of IT staff and how we are addressing that here the the way we are addressing that is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with kubernetes the same way they administered the older releases so they don't have to learn anything new they are just working the same way we are not changing any tools process technologies it was before same as it was before more capable dealer and developers can come in and they see new capabilities around kubernetes so it's best of both worlds and what was the pain point that you guys are so obviously the ease-of-use is critical Asti operationally I get that as you look at the cloud native developer Saiga's infrastructure as code means as app developers on the other side taking advantage of it what's the real pain point that you guys are solving with vSphere 7 so I think it's it's it's multiple factors so so first is we've we've talked about agility a few times right there is DevOps is a real trend inside an IT organizations they need to be able to build and deliver applications much quicker they need to be able to respond to the business and to do that what they are doing is they need infrastructure that is on demand so what what we're really doing in the core kubernetes kind of enablement is allowing that on-demand fulfillment of infrastructure so you get that agility that you need but it's it's not just tied to modern applications it's also your all of your existing business applications and your modern applications on one platform which means that you know you've got a very simple and and low-cost way of managing large-scale IT infrastructure so that's that's a huge piece as well and and then I I do want to emphasize a couple of other things it's it we're also bringing in new capabilities for AI and ML applications for sa P Hana databases where we can actually scale to some of the largest business applications out there and you have all of the capabilities like like the GPU awareness and FPGA where FPGA awareness that we built into the platform so that you can truly run this as the fastest accelerated platform for your most extreme applications so you've got the ability to run those applications as well as your kubernetes and container based applications that's the accelerate application innovation piece of the announcement right that's right yeah it's it's it's quite powerful that we've actually brought in you know basically new hardware awareness into the product and expose that to your developers whether that's through containers or through VMs which I want to get your thoughts on the ecosystem and then in the community but I want to just dig into one feature you mentioned I get the lifestyle improvement a life cycle improvement I get the application acceleration innovation but the intrinsic security is interesting could you take a minute explain what that is yeah so there's there's a few different aspects one is looking at how can we actually provide a trusted environment and that means that you need to have a way that the key management that even your administrator is not able to get keys to the kingdom as we would call it you you want to have a controlled environment that you know some of the worst security challenges inside and some of the companies has been your in choler internal IT staff so you've got to have a way that you can run a trusted environment and independent we've got these fair trust authority that we released in version 7 that actually gives you a a secure environment for actually managing your keys to the kingdom effectively your certificates so you've got this you know continuous runtime now not only that we've actually gone and taken our carbon black features and we're actually building in full support for carbon black into the platform so that you've got negative security of even your application ecosystem yeah that's been coming up a lot in conversations the carbon black in the security piece chrishelle see these fear everywhere having that operating model makes a lot of sense but you have a lot of touch points you got cloud hyper scale is that the edge you got partners so the other dominant market share and private cloud we are on Amazon as you well know as your Google IBM cloud Oracle cloud so all the major clouds there is a vSphere stack running so it allows customers if you think about it right it allows customers to have the same operating model irrespective of where their workload is residing they can set policies compliance security they said it once it applies to all their environments across this hybrid cloud and it's all fun a supported by our VMware cloud foundation which is powered by vSphere 7 yeah I think having that the cloud is API based having connection points and having that reliable easy to use is critical operating model all right guys so let's summarize the announcement what do you guys take dare take away from this vSphere 7 what is the bottom line what's what's it really mean I I think what we're if we look at it for developers we are democratizing kubernetes we already are in ninety percent of IT environments out there are running vSphere we are bringing to every one of those vSphere environments and all of the virtual infrastructure administrators they can now manage kubernetes environments you can you can manage it by simply upgrading your environment that's a really nice position rather than having independent kind of environments you need to manage so so I think that's that is one of the key things that's in here the other thing though is there is I don't think any other platform out there that other than vSphere that can run in your data center in Google's in Amazon's in Microsoft's in you know thousands of VC PP partners you have one hybrid platform that you can run with and that's got operational benefits that's got efficiency benefits that's got agility benefits yeah I just add to that and say that look we want to meet customers where they are in their journey and we want to enable them to make business decisions without technology getting in the way and I think the announcement that we made today with vSphere 7 is going to help them accelerate their digital transformation journey without making trade-offs on people process and technology and there's more to come look we're laser focused on making our platform the best in the industry for running all kinds of applications and the best platform for a hybrid and multi cloud and so you'll see more capabilities coming in the future stay tuned well one final question on this news announcement which is this awesome vSphere core product for you guys if I'm the customer tell me why it's gonna be important five years from now because of what I just said it is the only platform that is going to be running across all the public clouds right which will allow you to an operational model that is consistent across the clouds so think about it if you go to Amazon native and then you have orc Lord in Azure you're going to have different tools different processes different people trained to work with those clouds but when you come to VMware and you use our cloud foundation you have one operating model across all these environments and that's going to be game-changing great stuff great stuff thanks for unpacking that for us graduates on the insulin thank you at vSphere 7 News special report here inside the cube conversation I'm John Ferger thanks for watching [Music]

>>Yeah, yeah, yeah, yeah, yeah. >>Welcome to this Special Cube conversation. We're gonna unpack and have a casual conversation around the big news that VM Ware just announced the sphere 7.7 point. Oh, or V. Sphere seven. Chris Prasad, senior vice president, General manager of the Sphere Cloud Platform Business unit. Paul Turner, VP of product. Guys, we just chatted about the big news. Congratulations. Um, the bottom line, if I'm a customer, I'm moving into the cloud. I see this as really an either an enabler or blocker. You guys actually think it's an enabler? Um, I'm not saying it's a blocker, but as a customer, I just need to know, Is it going to help me go faster? I'm going cloud, Which means I've been told I got to get on the cloud you got Amazon might have azure or multiple clouds with workloads sitting around. I gotta pull them all together and make them work. But right now, I just got to get my operations cloud native necessarily kind of pressure point. >>Oh, for sure. One of the biggest drivers that you see happen in the industry right now is kubernetes. Why? Why is kubernetes taking off communities taking off because it gives you cloud independence. It gives you the ability to run with same operating model, whether it's in Google Cloud, Amazon's Cloud, Microsoft Cloud or any other cloud service. What we're doing with version seven instruction bring that same kubernetes cloud independent operating model directly in divisor. So now all of your infrastructure platforms that are out there, 90% of I T environments are all kubernetes ready platforms on. That's really powerful. So what we've done is just taken a totally different kind of, um ah, scope on how cloud should be Cloud should be any cloud. It should be independent of one particular flavor of it and on developers should be able to work then in a much more agile way. >>You just see, I've been following VM where you know my career since it was founded. And, you know, with the Cube coverage over the years is they see the innovation. You guys do a lot of great stuff. Of course, we keep on our teams to minimum. And David Lantz he made some good calls with these v san. We saw the early stuff with V Cloud Air Kind of saw that kind of going in this direction, But it's been really innovation going on around you guys. I'll see with NSX has exploded and V Sphere has been the core thing. As you guys look at the cloud model, you guys made some good moves with Amazon. I've always felt that you guys could be that Switzerland that that layer of connection points between as enterprise really moved from old way of provisioning, too much more seamless operating model where they have a deal with cyber security. They gotta deal with all the stuff that's going to come from APS that's going to come from the APP store. When you bought Hep D Oh, I was like, That's actually really smart move. You started bringing that cloud native vibe into V sphere, and that's what's essentially happening here. Isn't it? >>Exactly. This is like the the coming out party for that, like it's V Sphere having all the hefty oh goodness embedded in it. And what they would see is that because we have such a huge presence in the on Prem space, this provides the fastest bad for customers to get to the cloud. So today I mean this? I don't want this point to be lost on the today. You know, we are running the same VM Ware Cloud Foundation, our on Prem on Amazon in Google and many of the same code base. Same code base, right? It's the exact same thing. So now what does that give you as a customer? It gives you the same operational model across all these clouds. Because customers today, we thought that they're setting up set of processes and tools or Amazon. Then you go to Azure. You're doing a different set than their training people to do that. And, you know, you could get into compliance and other issues where things fall through the cracks. Right? When you do that here, the same platform you said your policies wants it applies to all the clouds. You can move your workloads between clouds, right? That's a V motion. Essentially, we don't know the >>last kept on that one, but that's ideal would be crippled >>today. It is happening today and we have thousands of other partners which are the tier two service providers who are all also offering that. So we have a huge grab off these providers are in which we live in the same platform. >>Yeah, I want to add something else, actually, to that as well. Which is? This is an open platform, which is really powerful, right? This is based on kubernetes for developers, which means you can run on the V sphere platform, and that is a hybrid infrastructure that is the most ubiquitous infrastructure out there. But if you actually want to take your application actually deployed onto a native application Native Cloud, you can do that as well. Um, and so it's very important for us to keep the platform open while making broadest available on >>Dev ops. I mean, first, I totally agree. I think open wins, But the end of the day, I think this operating consistency is a big story because it's kind of like nuance. But it is really the most important customers care about, because if you're operating successfully seamlessly across cloud, it's better. So the question I have on the Dev Op side because the dream has always been infrastructure as code. So are you guys there with this? Do you consider this V Sphere seven kind of infrastructures code from a developer? Is it all being taken care of. How close are we in your mind's eye to infrastructure as code. >>Now it's 100% there. I mean, we made the announcement around Hangzhou, which is a set off other products and capabilities that we add to what the sphere has and that whole stack. And the solution is for this targeted at the modern developer. So we have all the capabilities that the developers need to do infrastructure as scored, to deploy their applications and deployed across all these clouds. >>And I want I want to add to that the infrastructure as code really has two parts to it. We look at how do I provide the developers infrastructure's code, which is what we're doing with kubernetes enablement and we have our V San product is available. In fact, all storage services from V sphere available through that andare NSX services are available through kubernetes. So you've got full infrastructures code for developers. But infrastructures code also means how do you deploy large scale infrastructures and manage them as code? How do people actually manage the operations and the deployment of services? And so you're right in your admin team actually have a full layer of enhanced lifecycle management provisioning off configurations and settings across infrastructure. All of that is now managed, as >>that's almost under the hood kind of stuff. But that's important because networking is going to play a big role in all of this from a security standpoint and also compute storage. Pretty much looking, looking good, but networking becomes a huge part of what's under the hood. >>Yeah, I mean, look at networking is what enables us to connect all these clouds together, right? And NSX being the underlying platform for us enables us to have one single layer across all these clouds with the same operating model. So NSX is very critical. >>I want to get your guys thoughts on some little history lesson here or scar tissue, as we say in the industry. You know, I remember back during the Hadoop days, 2010 the big data movement hit, and it was just going to save us all. It's gonna be great, but what ended up happening was this very hard to stand up these clusters and what happened was the commitment the vision was there, but it was just really hard to manage and stand up clusters and hire people to do this. So it has some use cases, but it just really kind of fell down. We saw Open Stack have a similar trajectory where good on paper, things had used cases. But it's just so hard to manage the trends. We're moving very, very fast. Cloud was here. Cloud Computing kind of took everyone by storm and just got rid of all those things. And so they kind of dying. >>No. But if you think about why open Stack didn't go anywhere in the end, it's because of the operational complexity right? It took a lot to set it up, and he had essentially invest a lot more than keeping it running right. And then what we're doing is saying you don't have to worry about that aspect because it's built into the platform that you already know, right? So we have taken that complexity out completely, and so you just have this fear. The administrators know how to set up and run and do life cycle, and this year, and you get kubernetes, go >>back to my original question. If that's the case, which, by the way, I think that's the way to think about it. Then I found the customer acceleration. I can draft up with the movement of cloud as fast as I can Go is having any kind of blockers. >>Fastest lamb like cloud >>ran to the cloud >>and fastest fastest ramp to a cloud operating model, which means that all of your developers can now actually run as quickly as they can, building their applications independent of I t. In a much more dynamic way. So you want to move to that cloud operating model. That's why Kubernetes is so important on the infrastructure side. We've actually, of course, made it a much easier platform to manage. But but it's the agility that matters. >>You guys have done some great innovation. I think you've got a good ear to the market, made some good moves. Looking good. This is a great vision. I got to get your guys take on the edge. Big discussion. Five g. Certain years love that kind of vision. But the end of the day and edge. Now, if you talk about cloud operations, everything's an edge, right? So what does edge mean for V sphere? How do you guys look at the edge of the network. And as these applications with the sensors or whatever happening at the edges, How does this V Sphere look at that? How do you guys look? >>So, uh, for let me just I would say that, you know, we we have, ah, data center edge, right? We just think of it as, um, retail stores, Starbucks, right. They have a kind of a mini data center application running there. That's one kind of edge that people talk about. Then you have the kind of the telco edge, but a lot of the crossing of the five year data is happening, right? Where the cell tower, Selden. We're done. And then you have the devices. You just the cars, the You know what you have at home and we're not right. And then and we can play across all of these because we have the platform. I don't know if you know, but ah, v sphere, as the platform is, is embedded in many devices today. It's in the army. It's embarking leaders it. So it has a form factor that can live in all these devices. We certainly play in the data center, so we're well suited to play the >>piece for anywhere. >>Yeah, that is exactly right. >>I think we're already We're already at the data center edge, as we've talked about that is, it's a very common deployment use case for earlier versions of the sphere, and it will continue to be the value that you guys it's not not new at all. I think the telco edge is actually a very interesting one, particularly the five G switch over. So you know what's happening. There is. There's a whole radio access networks and you're looking at the V Ron as a big initiative there. Which is how do we bring virtualization as a service they're into into those networks? Container deployments becomes very important as well. So we actually have a platform with version seven that actually can give the telco edge and five G network deployments a much more secure, predictable runtime environment. So that's really powerful as well. And it's containers and VMS because many of those applications that are deployed a telco edge our container based applications. >>It's interesting, you know, we talk about stacks in our last segment and you guys talking about the news and now having all these stacks later on. But think about the evolution of the industry with cloud. A whole new sets of services are emerging mentioned Telco Edge. So it just looks different. What's the same kind of open model that open systems brought us, but just a little bit different? It's a distributed cloud security computer, same concepts, new new capabilities. >>Not just to add to that, I mean the biggest innovation John is happening in the hardware layer by the computer, sort of getting disaggregated. There is a lot of acceleration that is going on that are specialized chips, a six effigies that are being built into the servers and and memory's getting pulled outside because the interconnect is getting fast enough for those things to happen. And so a lot of the innovation that we do as a platform that we didn't talk about much today is really a data layer, because we had to virtual eyes all of that and provide it to the level. Of course, >>yeah, it's great. It's a great architecture. I think I just add more complexity that's coming and you guys can help. Abstract away is you just look at cybersecurity and the role of data. You got to get in front of all these these trends to get that automation dev ops going because without any automation and software is just people can't handle the inbounds. It's a big problem. >>Yeah, you really need, um, your platforms to provide intrinsic security. It shouldn't be. It shouldn't be an option. It shouldn't be something the developers need to worry about. It should be something that's just part of the platform. And that's one of the things that we see is critical and actually built into Visa or seven. And you've seen that we've made a number of acquisitions recently. Actually, in the security piece, it's it's so that we can purposely build into your runtime environment, which is your VM environment container environment that we're running. We actually build in intrinsic security would build in a dynamic checking off the scope of an application in real time. Um, while those applications running, which is very key. >>Paul, >>Thanks for sharing all that great stuff. I want to get one final thought for both of you before we wrap up is we've been seeing and we've been reporting kind of the three ways of the cloud wave one was public. We all kind of know how that turned out. Awesome Cloud Native Born in the Cloud Wave two is well right now with a lot of intensity hybrid that's got a range of definitions. And then the third wave that's coming fast is multi cloud. So I want to get your thoughts on hybrid. A lot of energy, a lot of spend a lot of dollars investment in hard causing people in hybrid. I know we have different definitions. Is also different versions of hybrid. How do you define hybrid? And how does that become a path to the next wave? Or is it a path of next wave? What's your take? >>So it's absolutely the bad the next, I would say the hybrid, in our view, is the same platform running on which cloud do you want to use in our platform, as we talked about spans all the major clouds today giving the same operating model, and that's what we view as the hybrid cloud story. But the next one is the ability to mix native cloud workloads and services with that, and we already have a set of products and services that target that it's the times. A portfolio that I talked about is all focused on the multi cloud journey. So we kind of support both, and we're looking forward and aggressively going after the multi cloud. >>I think it's important to think of them as is completely complimentary of each other, right? A hybrid infrastructure platforms. So you know, a single I T organization can actually have one operating experience for their entire infrastructure, independent of Cloud Private Cloud Public Cloud Services. But Multi Cloud is about developers. It's about developers able to deploy their applications on any cloud environment that they need to, and they don't need to worry about infrastructure. So hybrid cloud is really about, ah, hybrid infrastructure that we can deploy everywhere, multi cloud and the services that we're providing to developers is all about how you could be independent of any cloud deployment that you want. It could be a hybrid infrastructure you deploy on. It could be on a standard public cloud service, >>and what's interesting is not. Not not all clouds are created equal. I mean, Amazon has much more capability in Azure and Google, but they're finding their swim lanes. But again it's all about the workload. The workload decides which cloud to work on. And that's right. You guys just agnostic? Yes, For the operator. Well, well, Thanks for the insight, guys. Appreciate you did a little post wrap of the news. Thanks for hiring. Thank you. Big news. These fear seven Q breakdown here. I'm John Furrier. Thanks for watching, >>right? Yeah.

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum, World 2019 brought to you by the M Wear and its ecosystem partners. >> Hello, Welcome back, everyone to the Cubes Live coverage of the Emerald 2019. I'm John Career with Lycos Day, Volante Dave. 10 years covering the Q Weird Mosconi and 2010 boy Lots changed, but >> it's still the >> platform that Palmer Ritz laid out. But the stuff filling in 10 years later. >> Okay, you call that software mainframe and Robin came in so I can't call Mainframe Way >> Have leaders from PM Wears Largest business unit. The Cloud Platform Business Kid Colbert to CTO and Christmas R S v P and General Manager Guys, Thanks for coming on The key. Appreciate. >> Yeah, that's for having us. The >> world's your business units smoking hot. It's very popular, like you run around doing meetings. Cloud platform is the software model that's 10 years later actually happening at scale. Congratulations. What's the What's the big news? What's the big conversation for you guys? >> Yeah, the biggest news this week is the announcement of project specific, and, um, it's about taking the platform a Jess, um, hundreds of thousands of customers on it and bringing together communities were just now very popular with the developers and that black form together so that operators, on the one hand, can just deal with the platform they love. And the developers can deal with the kubernetes layer that they love. >> It's interesting to watch because, you know, the whole end user computing stack that was laid out 10 years ago is actually happening now, Assassin see, sass business models. We all see the and half of them is on the success of Cloud. But interesting to see kubernetes, which we've been following since the report started. Open stack days. You saw that emerging. Everyone kind of saw that. And it really became a nice layer. And the industry just create as a de facto. Yeah, you guys were actually driving that more forward. So congratulations on that. >> That's sitting it >> natively in V sphere is interesting because you guys spend a ton of time. This is a core product for you guys. So you're bringing something native into V sphere? I'm sure there's a lot of debates internally how to do that, kid. What's that? What is the relevance workers. You guys have a lot of efficiencies and be severe, but bring in kubernetes is gonna give you some new things. What, >> So the thinking is really you know, it's Christmas mentioning. How do we take this proven platform? Move it forward. Customers have moved millions of work clothes on top of the sphere, operate them in production, the Prussian great capabilities, and so they'd be able to be very successful in that. And so the question is, how do we help them move forward in the kubernetes? You know, you mentioned Crew readies is still fairly young, the ecosystem around. It's still somewhat immature, still growing right, and it's a very different environment than what folks are used to who used the sphere. So there's a big challenge that customers have around managing multiple environments. All the training that's different, all the tools that are different so we can actually take their investments. They've already made into V sphere leverage and extend those into the kubernetes world that's really powerful. We'll help our customers take all these millions of workloads and move them forward. It's >> interesting because we were always speculating about being where I started Jerry Chan when he was on yesterday. He's been of'em where since early days, you know, but looking at VM where when they went to their you guys went back to your core When we be cloud air kind of win its way and then you deal them is on since the stock price has been going great, So great chair older takeover value there. But you got clarity around what cloud was. And as you look at the operator target audience, you guys have the operators and the devil and ops is critical. So you guys have been operating a lot of work, Liz and I think this is fascinating. So the role of containers is super relevant because you got V EMS and containers. So again, the debate continues. >> Well, I think >> Tainer is wrong. Where Bond, It's interesting conversation because kubernetes is orchestrating all that >> while the snarky treat tweet Oh day and you guys feel free to come. It was Oh, I thought we started launch pivotal. So we didn't have to run containers on virtual machines. Yeah, we know that people run containers on bare metal. They run containers and virtual machines, but >> yeah, It's a debate that that we hear pop up on the on the snarky Twitter feeds and so forth. We'll talk to customers about it. You know, this whole VM versus container debate, I think, really misses the point because it's not really about that. What it's about is how do I actually operate? These were close in production, right? This kind of this three pillows we talk about build, run, manage. Custer's want to accelerate that They won't do that with enterprise, great capabilities with security. And so that's where it really gets challenging. And I think you know, we've built this amazing ecosystem around desire to achieve that. And so that's what we're taking forward here. And, yes, the fact that we're using fertilization of the covers, that's an implementation detail. Almost. What's more, valuables? All the stuff above that the manageability, the operational capabilities. That's a real problem. It seems to >> me, to the business impact because, okay, people going to go to the cloud, they're gonna build cloud native acts. But you've got all these incumbent companies trying not to get disrupted to trying to find new opportunities, playing offense and defense at the same time, they need tooling to be able to do that. They don't want to take their e r p ap and stick it in the cloud, right? They want to modernize it. And you know you're not gonna build that overnight in the cloud anyway, so they need help. >> That's the the key move that we made here. If you if you think about it, customers don't have kubernetes experts right today and most of them in their journey to the mortar naps. They're saying, Hey, we need to set up two stacks. At least we are if we immerse stack that we love. And now communities are developers laws. So we have to stand up and they don't have any in house experts to do that right? And with this one move, we have actually collapsed it back to one stack. >> Yeah, I think it's a brilliant move. Actually, it's brilliant because the Dev ops ethos has proven everyone wants to be there, all right. And the question is, who's leading? Who is lagging? So ops has traditionally lagged. If you look at it from the developer standpoint, you guys have not been lagging on the we certainly have tons of'em virtualization been standardized. Its unifying. Yeah, the two worlds together, and it really as we've been calling it cloud two point. Oh, because if you look at what hybrid really is, it's cloud two point. Oh, yeah. Cloud one data was Dev Ops Storage and compute Amazon. You're born in the cloud. We we have no I t department 50 people. Why would we ever and developers are the operators? Yeah, so we shall. Enterprise scale. It's not that easy. So I love to get your thoughts on how you guys would frame the cloud two point. Oh, Visa vi. If cloud one does storage and compute and Amazon like scale, what is cloud to point out to you? >> Yeah, well, I think so. Let's talk about the cloud journey. I think that's what you're getting at here. So here's how it discuss it with customers. You are where you are today. You have your existing apse. A lot of them are monolithic. You're slow to update. Um, you know, so forthright. And then you have some of the cloud NATO nirvana over here. We're like everything's re architected. It's Micro Service's got all these containers off, so >> it doesn't run my business >> well, yeah, well, that's what I want to get to. I think the challenge, the challenge is it's a huge amount of effort to get there, right, All the training we're talking about, all the tooling and the all the changes there, and people tend to look at. This is a very binary thing, right that you're there. Here where you are, you're in the club, New Nirvana. People don't often talk about what's in the middle and the fact that it's a spectrum. And I think what we used to get a V M, where is like, let's meet customers where they are, You know, I think one of the big realizations we had, it's not. Everyone needs to get every single application on this far side over here. Some halfs, your pieces, whatever you know, it's fine to get them a little bit of the way there, and so one of the things that we saw with the M A coordinated us, for example, was that people there was a pent up demand to move to the public cloud. But it was challenging because to go from a visa environment on Prem to an eight of US native environment to change a bunch of things that tooling changes like the environment a little bit different, but with a mark, our native us, there's no modifications at all. You just little evey motion it. And some people have you motioning things like insanely fast now, without modifying the half you can't get you know something you have to suddenly better scalable. But you get other cloud benefits. You get things like, Oh, my infrastructure is dynamic. I can add host dynamically only pay for what I need. Aiken consume this as a service. And so we help moving. We have to move there. There were clothes a little bit in the middle of the spectrum there, and I think what we're doing with Project Pacific and could realise is the same thing. They start taking advantage of these great kubernetes capabilities for their existing APs without modification. So again, kind of moving them further in that middle spectrum and then, you know, for the absolute really make a difference to their business. They can put in the effort to get all the way over there, >> and we saw that some of the evidence of some challenges of that shiny new trend within the dupe ecosystem. Big data objects to army. Who doesn't love that concept, right? Yeah, map produced. But what happened was is that the infrastructure costs on the personnel human capital cost was so massive that and then cloud cloud came along and >> just go out. There is also the other point about just just just a bespoke tooling that >> technology, right, Then the disruptions to create, you know to that, then the investments that it takes. Two >> you had a skill and you had a skills gap in terms of people have been. So that brings us back to So how do you address that problem? Because most of the audience out here, not developers. Yeah. Yeah. Total has the developers connection. So >> this is one of the really cool things about Pacific that what we've done with Pacific when you look at it from an I T. Operations, one of you that person sees v sphere the tool they already know and use understand it. Well, when a developer looks at it, they see kubernetes. And so this is two different viewpoints. Got like, you know, the blind men around the elephant. But, um but the thing is is actually a singular thing in the back end, right? You know, they have these two different views. And so the cool thing about us, we can actually bring items and developers together that they can use their own language tools process. But there's a common thing that they're talking about. They have common visibility into that, and that's super, super powerful. And when you look at, it also is happening on the kubernetes side is fully visible in the V's here side. So all these tools that already work against the sphere suddenly light up and support kubernetes automatically. So again, without any work, we suddenly get so much more benefit. >> And the category Buster's, they're going on to that. You're changing your taking software approach that your guys No, you're taking it to the software developer world. It's kind of changing the game. One of things. I want to get your thoughts on Cloud to point out because, you know, if computing storage was cloud one dato, we're seeing networking and security and data becoming critical ingredients that are problems statement areas people are working on. Certainly networking you guys are in that. So as cloud chip one is gonna take into the fact that messy middle between, you know, I'm on here and then I want the Nirvana, as always, the origination story and the outcomes and stories. Always great. But the missing messy middle. As you were pointing out, it's hard. How do you guys? >> And if you look at the moves that we made in the Do You know about the big fusion acquisition that remained right, which happened, like a month ago, and it was about preparing the platform, our foray I animal or clothes? So really, what we're trying to do is really make sure that the history of platform is ready for the modern applications, right? I am along one side communities applications, you know, service oriented applications. All of them can land on the same platform and more and more. Whether it's the I am l or other application, they're being written on top of communities that structures code. Yeah, nothing like Jenna's well, so enable incriminating will help us land all the modern applications on top of the same platform that our customers are used to. So it's a huge kind of a inflection point in the industry from my >> wealthy earlier point, every CEO I talked to said, I want to get from point A to point B and I wanna spend a billion dollars to get there. I don't wanna have to hire some systems integrator and outsource to get any there. Show me how I get without, you know, destroying my >> business. How did we meet the customers where they're at, right? Like what? The problem with this, the kind of either or model you're here you're there is that there's a huge opportunity costs. And again, Well, if you will just need a little bit of goodness, they don't need the full crazy nirvana Goodness right? And so we enable them to get that very easily in automated way, right? If you'd just been any time re factoring or thinking through this app that takes months or even a year or more, and so you know that this the speed that we can unleash her The velocity for these customers is >> the benefit of that. Nirvana is always taken out of context because people look at the outcome over over generations and saying, Well, I want to be there but it all starts with a very variable basis in shadow. I used to call it, but don't go in the cloud and do something really small, simple. And then why? This is much more official. I like this stack or this approach. That's ultimately how it gets there. So I got to get I got to get that point for infrastructures code because this is what you're enabling. Envies, fearful when I see I want to get your reaction. This because the world used to be. And I ask Elsa on this years ago, and he kind of validated it. But because he's old school, Intel infrastructure dictated to the applications what it could do based on what it could do. Now it's flipped upside down with cloud platform platform and implies enabling something enabling platform. Whatever you call the APs are dictating for the infrastructure. I need this. That's infrastructure is code. That's kind of what you're saying is that >> I mean, look kubernetes broader pattern time. It said, Hey, I can declare what I want, right, and then the system will take care of it and made in that state. I decided state execution is what it brought to the table, and the container based abs, um, have already been working that way. What this announcement does with Project Pacific is that the BM applications that our customers built in the past they are going to be able to take advantage of the same pattern, just the infrastructure escort declarative and decide state execution That that's going to happen even for the old workload, said our customer service >> and they still do viens. I mean, they're scaled 1000 the way >> they operate the same pattern. I >> mean, Paul Morris doesn't get enough credit for the comedy made in 2010. He called it the hardened top. Do you really care what's underneath if it's working effectively? >> Well, I mean, I think you know the reality today is that even though containers that get all get a lot of coverage and attention, most were close to being provisioned. New workloads even are being provisioning v EMS, right? If you look at AWS, the public clouds, I mean, is the E c to our ah go compute engine. Those service's those VM so once they're getting heavily used. And so the way we look at it, if we want to support everything. And it's just going to give customers a bunch of tools in their tool box. And let's put on used the right tool for the right job. Right? That's what the mentality >> that's really clouds. You know, Chris, I want to get your you know, I want to nail you down on the definition of two point. Uh, what is your version? Come on. We keep dodging around, get it out. Come on. >> I think we touched on all aspects of it. Which one is the interesting, less court allowing the consumer of the cloud to be able to dictate the environment in which the applications will operate and the consumer is defining it or the developers to defining it. In this case, that, to me, is the biggest shift that we have gone through in the Colorado. Yeah, and we're just making our platform come to life to support >> that. We're taking the cube serving. We'll put all together, and we want the community to define it, not us. What does it explain? The honest what it means to be a project and has a project Get into it. An offering? >> I mean, so Project Pacific is vey sphere, right? I mean, this is a massive, rethinking re architecture of Easter. Like pretty much every major subsystem component within Visa has been updated with this effort. Um, what we're doing here is what we've technically announced is actually what we call a technical preview. So saying, Hey, this is technology we're working on. We think it's really interesting We want to share with the public, get the public's feedback, you know, figure out a way on the right direction or not. We're not making any commitment, releasing it or any time frames yet. Um, but so part of that needed a name, right? And so because it is easier, but it's a specific thing. We're doing the feast here, so that's where the project comes from. I think it also gives that, you know, this thing has been a huge effort internally, right? There's a lot of work that's gone into it. So you know, it has some heft and deserves a name Min itself. >> It's Dev Ops to pointed. Your reds bring in. You making your infrastructure truly enable program out from amble for perhaps a tsunami. >> The one thing I would say is we wouldn't announce it as a project if it was not coming soon. I mean, we still are in the process. Getting feedback will turn it on or not. But it it's not something that is way out. Then it's It is going to come. >> It's a clear direction. It's a statement of putting investment into his code and going on to course correct. Get some feedback at exactly. But it's pretty obvious you can go a lot of pain. Oh, yeah, isn't easy button for combat. He's >> easy on the >> future. I think it's a great move. Congratulations. We're big fans of kubernetes. So the guys last night having a little meeting Marriott thinking up the next battle plans for game plan for you guys. So, yeah, I >> thought this is just the tip of the iceberg. We had a lot of really, really cool stuff we're doing. >> We're gonna be following the cloud platform. Your progress? Certainly. Recovering. Cloud two point. Oh, looking at these new categories that are emerging again. The end state is Dev Ops Program ability. Apple cases, the Cube coverage, 10th year covering VM world. We're in the lobby of Mosconi in San Francisco. I'm John Favorite Day Volonte. Thanks for watching

>> Announcer: Live from San Francisco, it's theCube. Covering DevNet Create 2017, brought to you by Cisco. >> Hey welcome back everyone. Live here in San Francisco, exclusive coverage with theCube at Cisco's inaugural DevNet Create event. I'm John Furrier with my co-host Peter Burris. We're breaking down the new foray into the open source world with a big presence. Cisco expanding their DevNet core developer classic program and creating an open source model with collaboration, 90% of that activity is non-Cisco, really a good formula. And to help us this down is Krish Subramanian, Principal Analyst at Rishidot Research, formerly of Red Hat, formerly of a start up that was recently sold. Can't talk about it because it's not released yet. Friend of theCube, Cube alumni, part of the Clouderati, going way back. Krish, we've seen a lot of the waves of how cloud has evolved from the early days. I remember when EngineYard was a startup, Haruku was a couple guys, we were having our meetups. >> And the AWS was still like people who weren't able to make money. >> They were poo-pooing the hell out of it. It was EC2 and S3 with a couple different, I mean RightScale did everything back then, so think about the changes. And now Cisco here with the formula, they have the right formula, I got to give them props for that, doing it right. They're not trying to come in and do a land grab and sort of, "Ahh, we're Cisco", throwing their elbows around. Really doing it right, your thoughts? >> Yeah, definitely, come back to what some other legacy companies tried to do. Cisco didn't try to jump in and say, "Hey, we are going to run public cloud, compete with Amazon", and sort of take them down. They sort of waited for right moment, they initially started with the InterCloud, which will go much further, but when IoT came into picture, they were there right for that and they were there taking advantage of that. And with the increasing focus on developers, they are going right to capture the minds of developers. Especially for IoT, that is critical for Cisco to go-- >> Well, I'm really glad you're on with Peter. We have two analysts here who know the industry up and down, from every dimension. Of course, I'll add my color, but I want to ask both of you guys a couple questions. One, do you think Cisco's making the right moves by coming out and really focusing on their core competency, which is the network? They also bought AppDynamics, so that is a big purchase. So, you got apps meets infrastructure, programmable infrastructure, which means infrastructure as code. You really can't have infrastructure as code unless Cisco gets behind it, they're the leader. So, with IoT looming, this seems like a good move for Cisco. What do you think? >> Yeah, definitely, they are going in the right direction, so it's really like IoT's still in the early stages and we have to wait and see how it is going to evolve, but Cisco is very persistent. Especially I like the AppDynamics acquisition because they are clearly telling the world that we understand that applications are the future and developers need the right tools if they are to develop their apps on Cisco infrastructure. And with the emphasis on programmability, Cisco is taking right steps towards capturing developer attention and I hope with successful events like this, they will be able to get there. >> Peter, I want to go to you for a second because we just found out, in talking to Suzy, I did not know this, but in your previous life, when you ran research at META Group, folks may not know what that was, it was a big research firm at the time, you did some really similar work around the infrastructure developer. >> Yeah >> Okay, and our comment was, "What is old is now new". I got a degree in operating systems and computer science and that seems to be the model. What is this notion of an infrastructure developer? It was mentioned in the keynote today. Does that exist in this new scenario? Do you see it being viable? It seems like the messaging is tight. What is your reaction to this notion? You've done a lot of work on that. >> Well, as a way of answering the question John, and I'll play off of something you just said, when we talk about the degree with which this is relevant to Cisco, here's what I say. Everybody's always looking for what is it that's different from today, relative to yesterday? And there's a lot of things that are different. One of the most important ones is that yesterday's computing industry emphasized a priority set of models about how you do things. So, if you thought about the network, the network had a modeled structure. You sat there and you designed a network to be as relevant to as many things as possible. Same with the database. You sat there and you designed the database to be as relevant to whatever notion of applications. When we start talking about the new world, now what we're discovering is the data is going to force a reconfiguration. That's what big data is. In many respects, it's non-structured, non-modeled data, but we still want to do analytics. Same thing with the network. We want the network to evolve and emerge, have emerging characteristics that allow us to do things that we never really anticipated when we first put this stuff down. And so, the thing that an infrastructure developer, at least as we conceived it, and we were way ahead and probably wrong for that reason, but the way we conceive it is someone has to take some degree of responsibility for starting to characterize, fill that gap, characterize the services in the infrastructure that need to be made available to application developers in a way that makes coherent and consistent sense so that an application written to an infrastructure, in fact, may become a service to another application at some point in time in the future, because they make consistent assumptions about where they operate within that margin between the application and the infrastructure. >> John: Does that environment exist today, in your opinion? >> It does in certain places. It does in certain places. I think the whole notion of containers is making, in Kubernetes for example, is making some very powerful presumptions about how applications are going to interact with each other in the future. Now, we had SOA, but we also talked about Conway's law, it just never happened because the structure of the organizations that were using SOA just guaranteed you end up with monolithic, crap applications anyway. >> Explain Conway's law real quick for people who didn't-- >> Yeah, Conway's law is, it's been mentioned in theCube a couple times, basically, it's a suggestion that the structure of the application is a reflection of the structure of the organization that created it. And so, if you have a silo-based application development organization that's looking at the application for the finance group, or the marketing group, you are going to get a structured, siloed-oriented application, no matter what underlying technology you use. And that's been that way forever. >> And so, Krish, I want to get your thoughts because let's take that to the next level. So, one of the benefits of cloud was horizontally scalable model. That really kind of, to me, was the big ah-ha moment around software. And with DevOps, which is now called cloud native, which is the same thing, infrastructures code was, hey, I'm not not an infrastructure person. I just want it to be available for me and help me configure it out and programmable, as Suzy was saying. Okay, so if you take what Peter's saying about data, you've lived through the infrastructure as a service, platform as a service, SAS wars or evolution, however you want to look at it. And, now you see that kind of coalescing into SAS and infrastructure and PAS kind of folding away and kind of becoming less of a contentious conversation. But, now that same thing's happening with data, we believe. I mean I think, maybe he may disagree, but now data's now the new data layer. What's your thoughts on that? Because now, if you inject data into what was the old cloud stack, new things are really possible. >> Yeah, the thing is, data brings in a new dimensionality to what we are seeing right now. Everything from infrastructure to application, everything requires a mindset change in terms of seeing them as services. So, even if it is a physical hardware you are dealing with, you have to make it more service-like by putting an API in front of it. So, it's changing the way how we consume these services. But, data is the one that is bringing business value to customers. When you make data easily, sort of like, inter operate with the services, let's say call it, for lack of a better term, a services ocean kind of IT model you have in your enterprise. So, when you offer to bring data into it, it offers you a lot of opportunities which didn't exist in the past. It opens up new avenues in which you could manipulate data, make sense out of it and probably get more value than what you were getting in the past. >> What's interesting, if you bring micro services, if you think about Docker and Kubernetes, as you were saying, and you bring data now into the equation and the notion of microservices, you can apply all that microservices knowledge to data. That's what you were saying, from what I hear. Or concepts of-- >> Sort of like you will bring data close to take, earlier as Peter pointed out, data was in silos, representative of the organizational structure. So, by taking a more services approach and spreading the services across these siloed, PAS, siloed organization, you are bringing the entire organization into one single umbrella, sharing the data and thereby benefiting much more than what they were getting in the past. >> So John, in the opening, one of the things we talked about, and I'll repeat it here because he's probably going to see it and I'd love to hear your comments on it, is that we went to hardware-defined networking. And then we went to software-defined networking. And, Wikibon's working on a proposition and I'm sure we'll find reasons why it's not going to play out, but again, I'd like to hear your position, is what I'll call data-defined infrastructure. So, we were on theCube last week at Informatica and we heard a lot about the role that metadata's going to play in discovery of data resources and whatnot. I can imagine adding metadata when we start talking about dependencies and time and location and things that are relevant to how a network or how an infrastructure might configure itself to serve the data, becoming a feature of the programmability of the underlying infrastructure so that we end up, in five years, we do talk about data-defined infrastructure. Just as today, we're talking about software-defined infrastructure, where the infrastructure, literally, responds to the needs of the data because that, ultimately, is the most flexible way of think about this. What do you think? >> Yeah, I fully agree with you. In fact, data brings in a new dimensionality to the equation where applications, it's a morph based on what is there in the data. So, on-the-fly, the infrastructure needs to be modified. So, data sort of brings in a new way of doing infrastructure from what we have done in the past. I fully agree with the role of data in that and how, through the application, that influences how we deal with infrastructure. It does change completely. >> All right, so I got to ask you guys a question. Journeys, is journey to DevOps, journey to digital transformation, certainly has a lot of cloud, has a lot of open source involved with it. We're seeing the Ford CEO get fired, he hasn't been on the job for four years, right? So, you guys both work with end users and advise them, so what's your advise to CXOs where, hey the clock now is, I thought four years was short. It really should be seven to 10 on the transformation scale, but people are getting axed in their third year, so they got to show results. How does an executive make all this stuff happen in such a short time? Or should they just reset expectations? >> When the executive comes in, he, or she, not only should look at their core business, they should also think that they are a technology business and change the mindset completely. That mindset change needs a push from the top that's going to accelerate the change down the lane and I think the executive should think that they are becoming a CEO, or CXO, of a technology company, rather than a manufacturing company or a automobile company kind of thing. >> I think that's true, but look, we haven't studied what happened at Ford in detail because I'm sure there's some subtleties in there that we just don't fully understand, but on the surface, it sounds like he might have gotten a little bit of a raw deal, just from the pure standpoint of-- >> Well the stock was down 39%, so my guess is total Wall Street hatchet job, but -- >> Peter: Exactly. >> We don't know a lot of the politics, but Val Bercovici, who was on earlier, who has a lot of experience in organizations that net app since 97, or late 90s, brought an interesting point, you were saying earlier. Tesla creates a car that's a service. And so, to me, I hate to use the cliche, "Everything as a service", but essentially, that's what software's going to. So, where you make up a day, that's why I'm kind of poking at the data thing because I think you're on to som-- >> But it's the end of the day, Tesla still has to have a shop that bends metal, there's still some car manufacturing things that have to happen. And, in many respects, whether the old CEO is saying, well the value proposition is, someday this autonomous vehicle is going to happen, but right now, we still got to build cars that can compete in the world market. There's a lot of subtleties here. There are-- >> Yeah, but Tesla does upgrade with software over the network. >> For an 80 to $100,000 price point and there's about four billion people that are going to buy cars in the next five years that may, or may not, be able to buy a 80,000 to $100,000 car. So anyway, coming back to your core point, I think what it really means is that if you're in a situation where you don't have visibility in a how, some of these new, digital approaches are going to create value for your business, you're doomed. So, I think the first thing you got to do is you got to be very explicit. This is how digital technology's going to create value for my business, that's number one. And, be able to articulate that to, virtually, anybody that's capable of understanding it, including Wall Street. But, to do that, you have to step back and say, and what is it about that digital technology that's going to create value for my business. And the thing that's going to do it, or not, is the data. >> And the asset configuration around, the work around the assets. >> Especially the asset configuration, as it's defined by the data. And, increasingly, there's an economics terms, what we're going to see happen over the next 10 years is the asset specificities are going to go down dramatically. In other words, the ability to which, or the degree to which an asset can only be configured to a specific purpose. Software's going to change that dynamic dramatically. And that, in many respects, is one of the fundamental, underlying things that's going on here. But, at the end of the day, you have to say, what role is data going to play in my business? How am I going to articulate that role by saying that I'm going to incorporate digital in this way? And then, put in place a plan that demonstrates that you're competent about some of these things. And, if your shareholders don't like it, they're not going to like it from anybody, not just you. >> Krish, I want to get your thoughts on the Cloud Native Compute Foundation. Why it's so successful. Why, in your opinion, do you think, there just booming with vendors, a lot of cash infusion, a lot of activity, projects went from one, three, 10. We had Dan on earlier, a lot of growth in the cloud native. And then, also, Kubernetes as a, kind of as an emerging, really interesting dynamic, vis-a-vis multicloud. So why cloud native is so popular and the impact of Kubernetes. >> Cloud native is popular because of late, developers are understanding that the role we are building applications is not going to work in cloud. When containers came into picture, that really made it easy for developers to develop cloud native apps. It got them to take advantage of the more distributed nature of the underlying infrastructure. So, the containers are the main reason why cloud native has become the household term, even in the enterprises. That could be one of the reason why Cloud Native Foundation is popular. Because they came at the right time to host all these development projects and evangelize with the developers and take steps in that. As far as Kubernetes is concerned, it worked at Google's CE. If it can work at Google's CE and then solve Google's problem, it should be able to help-- >> If it's good for Google, it's good for me. That's their strategy. >> And also, people are slowly realizing that as more and more enterprises go to cloud, they are realizing that going with a single cloud provider may not solve all their problems because different cloud providers have different set of services. So, they want to take advantage of all that. But, they want a single pane of glass to manage everything. Kubernetes is this general to be that at the cloud-- >> Krish, thanks for coming on. Peter, thanks for the comments, I'll just wrap up the analyst segment by saying, in my opinion, I think Cisco's making a good move here because, to your point about Google and Kubernetes is, and that's one of many examples of great software being contributed to open source. And open source, for all the times I've been involved with it since I was in college, is this more great software coming to the table now than ever before and that's creating great innovation. So, combined with the cloud and cloud native and Kubernetes, a perfect storm of innovation is coming. And it's coming, not from vendors, it's coming from open source. And, so the smart vendors are putting their toe in the water and really figuring it out. And again, the-- >> Peter: It is coming from vendor support though. >> Well the vendors are smart by putting their people in open source as a proxy for contribution. That's the open source model. That, to me, is the new R&D. It's a new innovation strategy, coupled with some proprietary R&D. Not saying they should be going all open source. >> I agree with it completely. In fact, I would even go one step further and say open source is completely disrupting the traditional enterprise software in modern business. Think about someone like Capital One putting critical software as open source and disrupting all the vendors in the space, so it's-- >> Well, let's continue the conversation in studio or tomorrow. Again, open source is horizontally scaling as well. Great stuff, great projects. More exclusive coverage from the inaugural event for Cisco's DevNet Create after this short break. (up-tempo music) >> Hi, I'm April Mitchell and I'm the senior director of strategy--

>>artificial intelligence. The words are full of possibility. Yet to many it may seem complex, expensive and hard to know where to get started. How do you make AI really for your business? At Dell Technologies, we see AI enhancing business, enriching lives and improving the world. Dell Technologies is dedicated to making AI easy, so more people can use it to make a real difference. So you can adopt and run AI anywhere with your current skill. Sets with AI Solutions powered by power edge servers and made portable across hybrid multi clouds with VM ware. Plus solved I O bottlenecks with breakthrough performance delivered by Dell EMC Ready solutions for HPC storage and Data Accelerator. And enjoy automated, effortless management with open manage systems management so you can keep business insights flowing across a multi cloud environment. With an AI portfolio that spans from workstations to supercomputers, Dell Technologies can help you get started with AI easily and grow seamlessly. AI has the potential to profoundly change our lives with Dell Technologies. AI is easy to adopt, easy to manage and easy to scale. And there's nothing artificial about that. Yeah, yeah, from >>the Cube Studios in Palo Alto and Boston >>connecting with >>thought leaders all around the world. This is a cube conversation. Hi, I'm Stew Minimum. And welcome to this special launch with our friends at Dell Technologies. We're gonna be talking about AI and the reality of making artificial intelligence real happy to welcome to the program. Two of our Cube alumni Rob, depending 90. He's the senior vice president of server product management and very Pellegrino vice president, data centric workloads and solutions in high performance computing, both with Dell Technologies. Thank you both for joining thanks to you. So you know, is the industry we watch? You know, the AI has been this huge buzz word, but one of things I've actually liked about one of the differences about what I see when I listen to the vendor community talking about AI versus what I saw too much in the big data world is you know, it used to be, you know Oh, there was the opportunity. And data is so important. Yes, that's really But it was. It was a very wonky conversation. And the promise and the translation of what has been to the real world didn't necessarily always connect and We saw many of the big data solutions, you know, failed over time with AI on. And I've seen this in meetings from Dell talking about, you know, the business outcomes in general overall in i t. But you know how ai is helping make things real. So maybe we can start there for another product announcements and things we're gonna get into. But Robbie Interior talk to us a little bit about you know, the customers that you've been seeing in the impact that AI is having on their business. >>Sure, Teoh, I'll take us a job in it. A couple of things. For example, if you start looking at, uh, you know, the autonomous vehicles industry of the manufacturing industry where people are building better tools for anything they need to do on their manufacturing both. For example, uh, this is a good example of where that honors makers and stuff you've got Xeon ut It's actually a world war balcony. Now it is using our whole product suite right from the hardware and software to do multiple iterations off, ensuring that the software and the hardware come together pretty seamlessly and more importantly, ingesting, you know, probably tens of petabytes of data to ensure that we've got the right. They're training and gardens in place. So that's a great example of how we are helping some of our customers today in ensuring that we can really meet is really in terms of moving away from just a morning scenario in something that customers are able to use like today. >>Well, if I can have one more, Ah Yanai, one of our core and more partners than just customers in Italy in the energy sector have been been really, really driving innovation with us. We just deployed a pretty large 8000 accelerator cluster with them, which is the largest commercial cluster in the world. And where they're focusing on is the digital transformation and the development of energy sources. And it's really important not be an age. You know, the plan. It's not getting younger, and we have to be really careful about the type of energies that we utilize to do what we do every day on they put a lot of innovation. We've helped set up the right solution for them, and we'll talk some more about what they've done with that cluster. Later, during our chat, but it is one of the example that is tangible with the appointment that is being used to help there. >>Great. Well, we love starting with some of the customer stories. Really glad we're gonna be able to share some of those, you know, actual here from some of the customers a little bit later in this launch. But, Robbie, you know, maybe give us a little bit as to what you're hearing from customers. You know, the overall climate in AI. You know, obviously you know, so many challenges facing, you know, people today. But you know, specifically around ai, what are some of the hurdles that they might need to overcome Be able to make ai. Really? >>I think the two important pieces I can choose to number one as much as we talk about AI machine learning. One of the biggest challenges that customers have today is ensuring that they have the right amount and the right quality of data to go out and do the analytics percent. Because if you don't do it, it's giggle garbage in garbage out. So the one of the biggest challenges our customers have today is ensuring that they have the most pristine data to go back on, and that takes quite a bit of an effort. Number two. A lot of times, I think one of the challenges they also have is having the right skill set to go out and have the execution phase of the AI pod. You know, work done. And I think those are the two big challenges we hear off. And that doesn't seem to be changing in the very near term, given the very fact that nothing Forbes recently had an article that said that less than 15% off, our customers probably are using AI machine learning today so that talks to the challenges and the opportunities ahead for me. All right, >>So, Ravi, give us the news. Tell us the updates from Dell Technologies how you're helping customers with AI today, >>going back to one of the challenges, as I mentioned, which is not having the right skin set. One of the things we are doing at Dell Technologies is making sure that we provide them not just the product but also the ready solutions that we're working with. For example, Tier and his team. We're also working on validated and things are called reference architectures. The whole idea behind this is we want to take the guesswork out for our customers and actually go ahead and destroying things that we have already tested to ensure that the integration is right. There's rightsizing attributes, so they know exactly the kind of a product that would pick up our not worry about me in time and the resources needed you get to that particular location. So those are probably the two of the biggest things we're doing to help our customers make the right decision and execute seamlessly and on time. >>Excellent. So teary, maybe give us a little bit of a broader look as to, you know, Dell's part participation in the overall ecosystem when it comes to what's happening in AI on and you know why is this a unique time for what's happening in the in the industry? >>Yeah, I mean, I think we all live it. I mean, I'm right here in my home, and I'm trying to ensure that the business continues to operate, and it's important to make sure that we're also there for our customers, right? The fight against covered 19 is eyes changing what's happening around the quarantines, etcetera. So Dell, as a participant not only in the AI the world that we live in on enabling AI is also a participant in all of the community's s. So we've recently joined the covered 19 High Performance Computing Consortium on. We also made a lot of resources available to researchers and scientists leveraging AI in order to make progress towards you're and potentially the vaccine against Corbyn. 19 examples are we have our own supercomputers in the lab here in Austin, Texas, and we've given access to some of our partners. T. Gen. Is one example. The beginning of our chat I mentioned and I So not only did they have barely deport the cluster with us earlier this year that could 19 started hitting, so they've done what's the right thing to do for community and humanity is they made the resource available to scientists in Europe on tack just down the road here, which had the largest I can't make supercomputer that we deployed with them to. Ai's doing exactly the same thing. So this is one of the real examples that are very timely, and it's it's it's happening right now we hadn't planned for it. A booth there with our customers, the other pieces. This is probably going to be a trend, but healthcare is going through and version of data you mentioned in the beginning. You're talking about 2.3000 exabytes, about 3000 times the content of the Library of Congress. It's incredible, and that data is useless. I mean, it's great we can We can put that on our great ice on storage, but you can also see it as an opportunity to get business value out of it. That's going to be we're a lot more resource is with AI so a lot happening here. That's that's really if I can get into more of the science of it because it's healthcare, because it's the industry we see now that our family members at the M. Ware, part of the Dell Technologies Portfolio, are getting even more relevance in the discussion. The industry is based on virtualization, and the M ware is the number one virtualization solution for the industry. So now we're trying to weave in the reality in the I T environment with the new nodes of AI and data science and HPC. So you will see the VM Ware just added kubernetes control plane. This fear Andi were leveraging that to have a very flexible environment On one side, we can do some data science on the other side. We can go back to running some enterprise class hardware class software on top of it. So this is is great. And we're capitalizing on it with validates solutions, validated design on. And I think that's going to be adding a lot of ah power in the hands of our customers and always based on their feedback. And they asked back, >>Yeah, I may ask you just to build on that interesting comment that you made on we're actually looking at very shortly will be talking about how we're gonna have the ability to, for example, read or V Sphere and Allah servers begin. That essentially means that we're going to cut down the time our customers need to go ahead and deploy on their sites. >>Yeah, excellent. Definitely been, you know, very strong feedback from the community. We did videos around some of the B sphere seven launch, you know, theory. You know, we actually had done an interview with you. Ah, while back at your big lab, Jeff Frick. Otto, See the supercomputers behind what you were doing. Maybe bring us in a little bit inside as who? You know, some of the new pieces that help enable AI. You know, it often gets lost on the industry. You know, it's like, Oh, yeah, well, we've got the best hardware to accelerate or enable these kind of workloads. So, you know, bring us in its But what, You know, the engineering solution sets that are helping toe make this a reality >>of today. Yeah, and truly still you've been there. You've seen the engineers in the lab, and that's more than AI being real. That that is double real because we spend a lot of time analyzing workloads customer needs. We have a lot of PhD engineers in there, and what we're working on right now is kind of the next wave of HPC enablement Azaz. We all know the consumption model or the way that we want to have access to resources is evolving from something that is directly in front of us. 1 to 1 ratio to when virtualization became more prevalent. We had a one to many ratio on genes historically have been allocated on a per user. Or sometimes it is study modified view to have more than one user GP. But with the addition of big confusion to the VM our portfolio and be treated not being part of these fear. We're building up a GPU as a service solutions through a VM ware validated design that we are launching, and that's gonna give them flexibility. And the key here is flexibility. We have the ability, as you know, with the VM Ware environment, to bring in also some security, some flexibility through moving the workloads. And let's be honest with some ties into cloud models on, we have our own set of partners. We all know that the big players in the industry to But that's all about flexibility and giving our customers what they need and what they expect in the world. But really, >>Yeah, Ravi, I guess that brings us to ah, you know, one of the key pieces we need to look at here is how do we manage across all of these environments? Uh, and you know, how does AI fit into this whole discussion between what Dell and VM ware doing things like v Sphere, you know, put pulling in new workloads >>stew, actually a couple of things. So there's really nothing artificial about the real intelligence that comes through with all that foolish intelligence we're working out. And so one of the crucial things I think we need to, you know, ensure that we talk about is it's not just about the fact that it's a problem. So here are our stories there, but I think the crucial thing is we're looking at it from an end to end perspective from everything from ensuring that we have direct workstations, right servers, the storage, making sure that is well protected and all the way to working with an ecosystem of software renders. So first and foremost, that's the whole integration piece, making sure they realized people system. But more importantly, it's also ensuring that we help our customers by taking the guess work out again. I can't emphasize the fact that there are customers who are looking at different aliens off entry, for example, somebody will be looking at an F G. A. Everybody looking at GP use. API is probably, as you know, are great because they're price points and normal. Or should I say that our needs our lot lesser than the GP use? But on the flip side, there's a need for them to have a set of folks who can actually program right. It is why it's called the no programming programmable gate arrays of Saas fee programmable. My point being in all this, it's important that we actually provide dried end to end perspective, making sure that we're able to show the integration, show the value and also provide the options, because it's really not a cookie cutter approach of where you can take a particular solution and think that it will put the needs of every single customer. He doesn't even happen in the same industry, for that matter. So the flexibility that we provide all the way to the services is truly our attempt. At Dell Technologies, you get the entire gamut of solutions available for the customer to go out and pick and choose what says their needs the best. >>Alright, well, Ravi interior Thank you so much for the update. So we're gonna turn it over to actually hear from some of your customers. Talk about the power of ai. You're from their viewpoint, how real these solutions are becoming. Love the plan words there about, you know, enabling really artificial intelligence. Thanks so much for joining after the customers looking forward to the VM Ware discussion, we want to >>put robots into the world's dullest, deadliest and dirtiest jobs. We think that if we can have machines doing the work that put people at risk than we can allow people to do better work. Dell Technologies is the foundation for a lot of the >>work that we've done here. Every single piece of software that we developed is simulated dozens >>or hundreds of thousands of times. And having reliable compute infrastructure is critical for this. Yeah, yeah, A lot of technology has >>matured to actually do something really useful that can be used by non >>experts. We try to predict one system fails. We try to predict the >>business impatience things into images. On the end of the day, it's that >>now we have machines that learn how to speak a language from from zero. Yeah, everything >>we do really, at Epsilon centered around data and our ability >>to get the right message to >>the right person at the right >>time. We apply machine learning and artificial intelligence. So in real time you can adjust those campaigns to ensure that you're getting the most optimized message theme. >>It is a joint venture between Well, cars on the Amir are your progress is automated driving on Advanced Driver Assistance Systems Centre is really based on safety on how we can actually make lives better for you. Typically gets warned on distracted in cars. If you can take those kind of situations away, it will bring the accidents down about 70 to 80%. So what I appreciate it with Dell Technologies is the overall solution that they have to live in being able to deliver the full package. That has been a major differentiator compared to your competitors. >>Yeah. Yeah, alright, welcome back to help us dig into this discussion and happy to welcome to the program Chris Facade. He is the senior vice president and general manager of the B sphere business and just Simon, chief technologist for the High performance computing group, both of them with VM ware. Gentlemen, thanks so much for joining. Thank >>you for having us. >>All right, Krish. When vm Ware made the bit fusion acquisition. Everybody was looking the You know what this will do for space Force? GPU is we're talking about things like AI and ML. So bring us up to speed. As to you know, the news today is the what being worth doing with fusion. Yeah. >>Today we have a big announcement. I'm excited to announce that, you know, we're taking the next big step in the AI ML and more than application strategy. With the launch off bit fusion, we're just now being fully integrated with VCF. They're in black home, and we'll be releasing this very shortly to the market. As you said when we acquire institution A year ago, we had a showcase that's capable days as part of the animal event. And at that time we laid out a strategy that part of our institution as the cornerstone off our capabilities in the black home in the Iot space. Since then, we have had many customers take a look at the technology and we have had feedback from them as well as from partners and analysts. And the feedback has been tremendous. >>Excellent. Well, Chris, what does this then mean for customers? You know What's the value proposition that diffusion brings the VC? Yeah, >>if you look at our customers, they are in the midst of a big ah journey in digital transformation. And basically, what that means is customers are building a ton of applications and most of those applications some kind of data analytics or machine learning embedded in it. And what this is doing is that in the harbor and infrastructure industry, this is driving a lot of innovation. So you see the advent off a lot off specialized? Absolutely. There's custom a six FPs. And of course, the views being used to accelerate the special algorithms that these AI ml type applications need. And unfortunately, customer environment. Most of these specialized accelerators uh um bare metal kind of set up, but they're not taking advantage off optimization and everything that it brings to that. Also, with fusion launched today, we are essentially doing the accelerator space. What we need to compute several years ago and that is essentially bringing organization to the accelerators. But we take it one step further, which is, you know, we use the customers the ability to pull these accelerators and essentially going to be couple it from the server so you can have a pool of these accelerators sitting in the network. And customers are able to then target their workloads and share the accelerators get better utilization by a lot of past improvements and, in essence, have a smaller pool that they can use for a whole bunch of different applications across the enterprise. That is a huge angle for our customers. And that's the tremendous positive feedback that we get getting both from customers as well. >>Excellent. Well, I'm glad we've got Josh here to dig into some of the thesis before we get to you. They got Chris. Uh, part of this announcement is the partnership of VM Ware in Dell. So tell us about what the partnership is in the solutions for for this long. Yeah. >>We have been working with the Dell in the in the AI and ML space for a long time. We have ah, good partnership there. This just takes the partnership to the next level and we will have ah, execution solution. Support in some of the key. I am el targeted words like the sea for 1 40 the r 7 40 Those are the centers that would be partnering with them on and providing solutions. >>Excellent. Eso John. You know, we've watched for a long time. You know, various technologies. Oh, it's not a fit for virtualized environment. And then, you know, VM Ware does does what it does. Make sure you know, performance is there. And make sure all the options there bring us inside a little bit. You know what this solution means for leveraging GPS? Yeah. So actually, before I before us, answer that question. Let me say that the the fusion acquisition and the diffusion technology fits into a larger strategy at VM Ware around AI and ML. That I think matches pretty nicely the overall Dell strategy as well, in the sense that we are really focused on delivering AI ml capabilities or the ability for our customers to run their am ai and ml workloads from edge before the cloud. And that means running it on CPU or running it on hardware accelerators like like G fuse. Whatever is really required by the customer in this specific case, we're quite excited about using technology as it really allows us. As Chris was describing to extend our capabilities especially in the deep learning space where GPU accelerators are critically important. And so what this technology really brings to the table is the ability to, as Chris was outlining, to pull those resources those hardware resource together and then allow organizations to drive up the utilization of those GP Resource is through that pooling and also increase the degree of sharing that we support that supported for the customer. Okay, Jeff, take us in a little bit further as how you know the mechanisms of diffusion work. Sure, Yeah, that's a great question. So think of it this way. There there is a client component that we're using a server component. The server component is running on a machine that actually has the physical GPU is installed in it. The client machine, which is running the bit fusion client software, is where the user of the data scientist is actually running their machine machine learning application. But there's no GPU actually in that host. And what is happening with fusion technology is that it is essentially intercepting the cuda calls that are being made by that machine learning app, patience and promoting those protocols over to the bit fusion server and then injecting them into the local GPU on the server. So it's actually, you know, we call it into a position in the ability that remote these protocols, but it's actually much more sophisticated than that. There are a lot of underlying capabilities that are being deployed in terms of optimization who takes maximum advantage of the the networking link that sits between the client machine and the server machine. But given all of that, once we've done it with diffusion, it's now possible for the data scientist. Either consume multiple GP use for single GPU use or even fractional defuse across that Internet using the using technology. Okay, maybe it would help illustrate some of these technologies. If you got a couple of customers, Sure, so one example would be a retail customer. I'm thinking of who is. Actually it's ah, grocery chain. That is the flowing, ah, large number of video cameras into their to their stores in order to do things like, um, watch for pilfering, uh, identify when storage store shelves could be restocked and even looking for cases where, for example, maybe a customer has fallen down in denial on someone needs to go and help those multiple video streams and then multiple app patients that are being run that part are consuming the data from those video streams and doing analytics and ml on them would be perfectly suited for this type of environment where you would like to be ableto have these multiple independent applications running but having them be able to efficiently share the hardware resources of the GP use. Another example would be retailers who are deploying ml Howard Check out registers who helped reduce fraud customers who are buying, buying things with, uh, fake barcodes, for example. So in that case, you would not necessarily want to employ a single dedicated GPU for every single check out line. Instead, what you would prefer to do is have a full set of resource. Is that each inference operation that's occurring within each one of those check out lines could then consume collectively. That would be two examples of the use of this kind of pull in technology. Okay, great. So, Josh, a lot last question for you is this technology is this only for use and anything else. You can give us a little bit of a look forward to as to what we should be expecting from the big fusion technology. Yeah. So currently, the target is specifically NVIDIA GPU use with Cuda. The team, actually even prior to acquisition, had done some work on enablement of PJs and also had done some work on open CL, which is more open standard for a device that so what you will see over time is an expansion of the diffusion capabilities to embrace devices like PJs. The domain specific a six that first was referring to earlier will roll out over time. But we are starting with the NVIDIA GPU, which totally makes sense, since that is the primary hardware acceleration and for deep learning currently excellent. Well, John and Chris, thank you so much for the updates to the audience. If you're watching this live, please throwing the crowd chat and ask your questions. This faith, If you're watching this on demand, you can also go to crowdchat dot net slash make ai really to be able to see the conversation that we had. Thanks so much for joining. >>Thank you very much. >>Thank you. Managing your data center requires around the clock. Attention Dell, EMC open manage mobile enables I t administrators to monitor data center issues and respond rapidly toe unexpected events anytime, anywhere. Open Manage Mobile provides a wealth of features within a comprehensive user interface, including >>server configuration, push notifications, remote desktop augmented reality and more. The latest release features an updated Our interface Power and Thermal Policy Review. Emergency Power Reduction, an internal storage monitoring download Open Manage Mobile today.

(bright upbeat music) >> Hello and welcome to the Palo Alto Studios, theCube. I'm John Furrier, we here for a special Cube Conversation and special report, big news from VMware to discuss the launch of the availability of vSphere 7. I'm here with Krish Prasad SVP and General Manager of the vSphere Business and Cloud Platform Business Unit. And Paul Turner, VP of vSphere Product Management. Guys, thanks for coming in and talking about the big news. >> Thank you for having us. >> You guys announced some interesting things back in March around containers, Kubernetes and vSphere. Krish, tell us about the hard news what's being announced? >> Today we are announcing the general availability of vSphere 7. John, it's by far the biggest release that we have done in the last 10 years. We premiered it as project Pacific few months ago. With this release, we are putting Kubernetes native support into the vSphere platform. What that allows us to do is give customers the ability to run both modern applications based on Kubernetes and containers, as well as traditional VM based applications on the same platform. And it also allows the IT departments to provide their developers, cloud operating model using the VMware cloud foundation that is powered by this release. This is a key part of our (murmurs) portfolio solutions and products that we announced this year. And it is targeted fully at the developers of modern applications. >> And the specific news is vSphere.. >> Seven is generally available. >> Generally a vSphere 7? >> Yes. >> So let's on the trend line here, the relevance is what? What's the big trend line, that this is riding obviously we saw the announcements at VMware last year, and throughout the year, there's a lot of buzz. Pat Gelsinger says, "There's a big wave here with Kubernetes." What does this announcement mean for you guys with the marketplace trend? >> Yes what Kubernetes is really about is people trying to have an agile operation, they're trying to modernize the IT applications. And the best way to do that, is build off your current platform, expand it and make it a an innovative, an Agile Platform for you to run Kubernetes applications and VM applications together. And not just that customers are also looking at being able to manage a hybrid cloud environment, both on-prem and public cloud together. So they want to be able to evolve and modernize their application stack, but modernize their infrastructure stack, which means hybrid cloud operations with innovative applications Kubernetes or container based applications and VMs. >> What's exciting about this trend, Krish, we were talking about this at VMworld last year, we had many conversations around cloud native, but you're seeing cloud native becoming the operating model for modern business. I mean, this is really the move to the cloud. If you look at the successful enterprises, leaving the suppliers, the on premises piece, if not moved to the cloud native marketplace technologies, the on-premise isn't effective. So it's not so much on-premises going away, we know it's not, but it's turning into cloud native. This is the move to the cloud generally, this is a big wave. >> Yeah, absolutely. I mean, John, if you think about it on-premise, we have, significant market share, we are by far the leader in the market. And so what we are trying to do with this, is to allow customers to use the current platform they are using, but bring their modern application development on top of the same platform. Today, customers tend to set up stacks, which are different, so you have a Kubernetes stack, you have stack for the traditional applications, you have operators and administrators who are specialized in Kubernetes on one side, and you have the traditional VM operators on the other side. With this move, what we are saying is that you can be on the same common platform, you can have the same administrators who are used to administering the environment that you already had, and at the same time, offer the developers what they like, which is Kubernetes dial-tone, that they can come and deploy their applications on the same platform that you use for traditional applications. >> Yeah, Paul, Pat said Kubernetes can be the dial-tone of the internet. Most millennials might even know what dial-tone is. But what he meant is that's the key fabric, that's going to orchestrate. And we've heard over the years skill gap, skill gap, not a lot of skills out there. But when you look at the reality of skills gap, it's really about skills gaps and shortages, not enough people, most CIOs and chief information security officers, that we talk to, say, I don't want to fork my development teams, I don't want to have three separate teams, I don't have to, I want to have automation, I want an operating model that's not going to be fragmented. This kind of speaks to this whole idea of, interoperability and multi cloud. This seems to be the next big way behind hybrid. >> I think it is the next big wave, the thing that customers are looking for is a cloud operating model. They like the ability for developers to be able to invoke new services on demand in a very agile way. And we want to bring that cloud operating model to on-prem, to Google Cloud, to Amazon cloud to Microsoft Cloud to any of our VCPP partners. You get the same cloud operating experience. And it's all driven by a Kubernetes based dial-tone that's effective and available within this platform. So by bringing a single infrastructure platform that can run in this hybrid manner, and give you the cloud operating agility the developers are looking for, that's what's key in version seven. >> Does Pat Gelsinger mean when he says dial-tone of the internet Kubernetes. Does he mean always on? or what does he mean specifically? Just that it's always available? what's the meaning behind that phrase? >> The first thing he means is that developers can come to the infrastructure, which is, The VMware Cloud Foundation, and be able to work with a set of API's that are Kubernetes API's. So developers understand that, they are looking for that. They understand that dial-tone, right? And you come to our VMware cloud foundation that runs across all these clouds, you get the same API set that you can use to deploy that application. >> Okay, so let's get into the value here of vSphere 7, how does VMware and vSphere 7 specifically help customers? Isn't just bolting on Kubernetes to vSphere, some will say is that's simple or (murmurs) you're running product management no, it's not that easy. Some people say, "He is bolting Kubernetes on vSphere." >> it's not that easy. So one of the things, if anybody has actually tried deploying Kubernetes, first, it's highly complicated. And so definitely one of the things that we're bringing is you call it a bolt on, but it's certainly not like that we are making it incredibly simple. You talked about IT operational shortages, customers want to be able to deploy Kubernetes environments in a very simple way. The easiest way that you can do that is take your existing environment that route 90% of IT, and just turn on the Kubernetes dial-tone, and it is as simple as that. Now, it's much more than that, in version seven, as well, we're bringing in a couple things that are very important. You also have to be able to manage at scale, just like you would in the cloud, you want to be able to have infrastructure, almost self manage and upgrade and lifecycle manage itself. And so we're bringing in a new way of managing infrastructure so that you can manage just large scale environments, both on-premise and public cloud environments at scale. And then associated with that as well is you must make it secure. So there's a lot of enhancements we're building into the platform around what we call intrinsic security, which is how can we actually build in a truly a trusted platform for your developers and IT. >> I was just going to touch on your point about this, the shortage of IT staff, and how we are addressing that here. The way we are addressing that, is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with Kubernetes, the same way they administered the older releases, so they don't have to learn anything new. They are just working the same way. We are not changing any tools, process, technologies. >> So same as it was before? >> Same as before. >> More capability. >> More capability. And developers can come in and they see new capabilities around Kubernetes. So it's a best of both worlds. >> And what was the pain point that you guys are solving? Obviously, the ease of use is critical, obviously, operationally, I get that. As you look at the cloud native developer cycles, infrastructure as code means, as app developers, on the other side, taking advantage of it. What's the real pain point that you guys are solving with vSphere 7. >> So I think it's multiple factors. So first is we've talked about agility a few times, there is DevOps is a real trend inside an IT organizations. They need to be able to build and deliver applications much quicker, they need to be able to respond to the business. And to do that, what they are doing is they need infrastructure that is on demand. So what we're really doing in the core Kubernetes kind of enablement, is allowing that on demand fulfillment of infrastructure, so you get that agility that you need. But it's not just tied to modern applications. It's also all of your existing business applications and your monitoring applications on one platform, which means that you've got a very simple and low cost way of managing large scale IT infrastructure. So that's a huge piece as well. And then I do want to emphasize a couple of other things. We're also bringing in new capabilities for AI and ML applications for SAP HANA databases, where we can actually scale to some of the largest business applications out there. And you have all of the capabilities like the GPU awareness and FPGA awareness that we built into the platform, so that you can truly run this as the fastest accelerated platform for your most extreme applications. So you've got the ability to run those applications, as well as your Kubernetes and Container based application. >> That's the accelerated application innovation piece of the announcement right? >> That's right, yeah. It's quite powerful that we've actually brought in, basically new hardware awareness into the product and expose that to your developers, whether that's through containers or through VMs. >> Krish, I want to get your thoughts on the ecosystem and then the community but I want to just dig into one feature you mentioned. I get the lifestyle improvement, life lifecycle improvement, I get the application acceleration innovation, but the intrinsic security is interesting. Could you take a minute, explain what that is? >> Yeah, so there's a few different aspects. One is looking at how can we actually provide a trusted environment. And that means that you need to have a way that the key management that even your administrator is not able to get keys to the kingdom, as we would call it. You want to have a controlled environment that, some of the worst security challenges inside in some of the companies has been your internal IT staff. So you've got to have a way that you can run a trusted environment independent. We've got vSphere Trust Authority that we released in version seven, that actually gives you a secure environment for actually managing your keys to the kingdom effectively your certificates. So you've got this, continuous runtime. Now, not only that, we've actually gone and taken our carbon black features, and we're actually building in full support for carbon black into the platform. So that you've got native security of even your application ecosystem. >> Yeah, that's been coming up a lot conversations, the carbon black and the security piece. Krish obviously vSphere everywhere having that operating model makes a lot of sense, but you have a lot of touch points, you got cloud, hyper scalars got the edge, you got partners. >> We have that dominant market share on private cloud. We are on Amazon, as you will know, Azure, Google, IBM Cloud, Oracle Cloud. So all the major clouds, there is a vSphere stack running. So it allows customers if you think about it, it allows customers to have the same operating model, irrespective of where their workload is residing. They can set policies, components, security, they set it once, it applies to all their environments across this hybrid cloud, and it's all supported by our VMware Cloud Foundation, which is powered by vSphere 7. >> Yeah, I think having that, the cloud as API based having connection points and having that reliable easy to use is critical operating model. Alright guys, so let's summarize the announcement. What do you guys their takeaway from this vSphere 7, what is the bottom line? What's it really mean? (Paul laughs) >> I think what we're, if we look at it for developers, we are democratizing Kubernetes. We already are in 90% of IT environments out there are running vSphere. We are bringing to every one of those vSphere environments and all of the virtual infrastructure administrators, they can now manage Kubernetes environments, you can you can manage it by simply upgrading your environment. That's a really nice position rather than having independent kind of environments you need to manage. So I think that is one of the key things that's in here. The other thing though, I don't think any other platform out there, other than vSphere that can run in your data center in Google's, in Amazon's, in Microsoft's, in thousands of VCPP partners. You have one hybrid platform that you can run with. And that's got operational benefits, that's got efficiency benefits, that's got agility benefits. >> Great. >> Yeah, I would just add to that and say that, look, we want to meet customers, where they are in their journey. And we want to enable them to make business decisions without technology getting in the way. And I think the announcement that we made today, with vSphere 7, is going to help them accelerate their digital transformation journey, without making trade offs on people, process and technology. And there is more to come. Look, we are laser focused on making our platform the best in the industry, for running all kinds of applications and the best platform for a hybrid and multi cloud. And so you will see more capabilities coming in the future. Stay tuned. >> Well, one final question on this news announcement, which is awesome, vSphere, core product for you guys, if I'm the customer, tell me why it's going to be important five years from now? >> Because of what I just said, it is the only platform that is going to be running across all the public clouds, which will allow you to have an operational model that is consistent across the cloud. So think about it. If you go to Amazon native, and then you have a workload in Azure, you're going to have different tools, different processes, different people trained to work with those clouds. But when you come to VMware and you use our Cloud Foundation, you have one operating model across all these environments, and that's going to be game changing. >> Great stuff, great stuff. Thanks for unpacking that for us. Congratulations on the announcement. >> Thank you. >> vSphere 7, news special report here, inside theCube cCnversation, I'm John Furrier. Thanks for watching. (upbeat music) >> Hey welcome back everybody, Jeff Frick here with theCube. We are having a very special Cube Conversation and kind of the the ongoing unveil, if you will of the new VMware vSphere 7.0 we're going to get a little bit more of a technical deep dive here today we're excited to have longtime Cube alumni, Kit Colbert here, is the VP and CTO of Cloud Platform at VMware. Kit, great to see you. And, and new to theCube, Jared Rosoff. He's a Senior Director of Product Management VMware, and I'm guessing had a whole lot to do with this build. So Jared, first off, congratulations for birthing this new release. And great to have you on board. >> Feels pretty good, great to be here. >> All right, so let's just jump into it. From kind of a technical aspect, what is so different about vSphere 7? >> Yeah, great. So vSphere 7, bakes Kubernetes right into the virtualization platform. And so this means that as a developer, I can now use Kubernetes to actually provision and control workloads inside of my vSphere environment. And it means as an IT admin, I'm actually able to deliver Kubernetes and containers to my developers really easily right on top of the platform I already run. >> So I think we had kind of a sneaking suspicion that might be coming with the acquisition of the FTO team. So really exciting news. And I think Kit you tease it out quite a bit at VMware last year about really enabling customers to deploy workloads across environments, regardless of whether that's on-prem, public cloud, this public cloud, that public cloud. So this really is the realization of that vision. >> It is, yeah. So, we talked at VMworld about project Pacific, this technology preview, and as Jared mentioned, what that was, is how do we take Kubernetes and really build it into vSphere. As you know, we had Hybrid Cloud Vision for quite a while now. How do we proliferate vSphere to as many different locations as possible. Now part of the broader VMware Cloud Foundation portfolio. And as we've gotten more and more of these instances in the cloud on-premises, at the edge, with service providers, there's a secondary question, how do we actually evolve that platform? So it can support not just the existing workloads, but also modern workloads as well. >> All right. So I think you brought some pictures for us a little demo. So why (murmurs) and let's see what it looks like. You guys can keep the demo? >> Narrator: So we're going to start off looking at a developer actually working with the new VMware Cloud Foundation for and vSphere 7. So what you're seeing here is a developer is actually using Kubernetes to deploy Kubernetes. The selfie in watermelon, (all laughing) So the developer uses this Kubernetes declarative syntax where they can describe a whole Kubernetes cluster. And the whole developer experience now is driven by Kubernetes. They can use the coop control tool and all of the ecosystem of Kubernetes API's and tool chains to provision workloads right into vSphere. And so, that's not just provisioning workloads, though. This is also key to the developer being able to explore the things they've already deployed, so go look at, hey, what's the IP address that got allocated to that? Or what's the CPU load on this workload I just deployed. On top of Kubernetes, we've integrated a Container Registry into vSphere. So here we see a developer pushing and pulling container images. And one of the amazing things about this is, from an infrastructure is code standpoint. Now, the developers infrastructure as well as their software is all unified in source control. I can check in, not just my code, but also the description of the Kubernetes environment and storage and networking and all the things that are required to run that app. So now we're looking at sort of a side by side view, where on the right hand side is the developer continuing to deploy some pieces of their application and on the left hand side, we see vCenter. And what's key here is that as the developer deploys new things through Kubernetes, those are showing up right inside of the vCenter console. And so the developer and IT are seeing exactly the same things, the same names, and so this means what a developer calls their IT department and says, "Hey, I got a problem with my database," we don't spend the next hour trying to figure out which VM they're talking about. They got the same name, they see the same information. So what we're going to do is that, we're going to push the the developer screen aside and start digging into the vSphere experience. And what you'll see here is that vCenter is the vCenter you've already known and love, but what's different is that now it's much more application focused. So here we see a new screen inside of vCenter vSphere namespaces. And so these vSphere namespaces represent whole logical applications, like the whole distributed system now as a single object inside of vCenter. And when I click into one of these apps, this is a managed object inside of vSphere. I can click on permissions, and I can decide which developers have the permission to deploy or read the configuration of one of these namespaces. I can hook this into my active directory infrastructure, so I can use the same, corporate credentials to access the system, I tap into all my existing storage. So, this platform works with all of the existing vSphere storage providers. I can use storage policy based management to provide storage for Kubernetes. And it's hooked in with things like DRS, right? So I can define quotas and limits for CPU and memory, and all that's going to be enforced by DRS inside the cluster. And again, as an admin, I'm just using vSphere, but to the developer, they're getting a whole Kubernetes experience out of this platform. Now, vSphere also now sucks in all this information from the Kubernetes environment. So besides, seeing the VMs and things that developers have deployed, I can see all of the desired state specifications, all the different Kubernetes objects that the developers have created, the compute network and storage objects, they're all integrated right inside the vCenter console. And so once again, from a diagnostics and troubleshooting perspective, this data is invaluable, often saves hours, just to try to figure out what we're even talking about more trying to resolve an issue. So, as you can see, this is all baked right into vCenter. The vCenter experience isn't transformed a lot, we get a lot of VI admins who look at this and say, "Where's the Kubernetes?" And they're surprised. They're like, they've been managing Kubernetes all this time, it just looks, it looks like the vSphere experience they've already got. But all those Kubernetes objects, the pods and containers, Kubernetes clusters, load balancer stores, they're all represented right there natively in the vCenter UI. And so we're able to take all of that and make it work for your existing VI admins. >> Well, it's pretty wild. It really builds off the vision that again, I think you kind of outlined Kit teased out at VMworld, which was, the IT still sees vSphere, which is what they want to see, what they're used to seeing, but (murmurs) see Kubernetes and really bringing those together in a unified environment. So that, depending on what your job is and what you're working on, that's what you're going to see in this kind of unified environment. >> Yeah, as the demo showed, (clears throat) it is still vSphere at the center, but now there's two different experiences that you can have interacting with vSphere, Kubernetes base one, which is of course great for developers and DevOps type folks, as well as the traditional vSphere interface API's, which is great for VI admins and IT operations. >> And then it really is interesting too, you tease that a lot. That was a good little preview, people knew they're watching. But you talked about really cloud journey and kind of this bifurcation of kind of classical school apps that are that are running in their classic VMs, and then kind of the modern, kind of cloud native applications built on Kubernetes. And you outlined a really interesting thing that people often talk about the two ends of the spectrum, and getting from one to the other, but not really about kind of the messy middle, if you will, and this is really enabling people to pick where along that spectrum, they can move their workloads or move their apps. >> Yeah, I think we think a lot about it like that, we talk to customers, and all of them have very clear visions on where they want to go, their future state architecture. And that involves embracing cloud and involves modernizing applications. And you know, as you mentioned, it's challenging for them. Because I think what a lot of customers see is this kind of these two extremes either you're here where you are, kind of the old current world, and you got the bright Nirvana future on the far end there. And they believe that the only way to get there is to kind of make a leap from one side to the other, they have to kind of change everything out from underneath you. And that's obviously very expensive, very time consuming, and very error prone as well. There's a lot of things that can go wrong there. And so I think what we're doing differently at VMware is really to your point as you call it, the messy middle, I would say it's more like, how do we offer stepping stones along that journey? Rather than making this one giant leap we had to invest all this time and resources? How can we enable people to make smaller incremental steps, each of which have a lot of business value, but don't have a huge amount of cost? >> And it's really enabling kind of this next gen application, where there's a lot of things that are different about it. But one of the fundamental things is where now the application defines the resources that it needs to operate, versus the resources defining kind of the capabilities what the application can do. And that's where everybody is moving as quickly as makes sense. As you said, not all applications need to make that move, but most of them should, and most of them are, and most of them are at least making that journey. Do you see that? >> Yeah, definitely. I mean, I think that, certainly this is one of the big evolutions we're making in vSphere from, looking historically at how we managed infrastructure, one of the things we enable in vSphere 7, is how we manage applications. So a lot of the things you would do in infrastructure management of setting up security rules or encryption settings, or, your resource allocation, you would do this in terms of your physical and virtual infrastructure, you talk about it in terms of, this VM is going to be encrypted, or this VM is going to have this firewall rule. And what we do in vSphere 7 is elevate all of that to application centric management. So you actually look at an application and say, I want this application to be constrained to this much CPU. Or I want this application to have these security rules on it. And so that shifts the focus of management really up to the application level. >> And like, I can even zoom back a little bit there and say, if you look back, one thing we did was something like vSAN before that people had to put policies on a LAN an actual storage LAN, and a storage array. And then by virtue of a workload being placed on that array, inherited certain policies. And so, vSAN will turn that around allows you to put the policy on the VM. But what Jared is talking about now is that for a modern workload, a modern workloads is not a single VM, it's a collection of different things. You got some containers in there, some VMs, probably distributed, maybe even some on-prem, some on the cloud. And so how do you start managing that more holistically? And this notion of really having an application as a first class entity that you can now manage inside of vSphere is really powerful and very simplified one. >> And why this is important is because it's this application centric point of view, which enables the digital transformation that people are talking about all the time. That's a nice big word, but when the rubber hits the road is how do you execute and deliver applications. And more importantly, how do you continue to evolve them and change them, based on on either customer demands or competitive demands, or just changes in the marketplace. >> Yeah when you look at something like a modern app that maybe has 100 VMs that are part of it, and you take something like compliance. So today, if I want to check if this app is compliant, I got to go look at every individual VM and make sure it's locked down hardened and secured the right way. But now instead, what I can do is I can just look at that one application object inside of vCenter, set the right security settings on that and I can be assured that all the different objects inside of it are going to inherit that stuff. So it really simplifies that. It also makes it so that that admin can handle much larger applications. If you think about vCenter today, you might log in and see 1000 VMs in your inventory. When you log in with vSphere 7, what you see is few dozen applications. So a single admin can manage much larger pool of infrastructure, many more applications than they could before. Because we automate so much of that operation. >> And it's not just the scale part, which is obviously really important, but it's also the rate of change. And this notion of how do we enable developers to get what they want to get done, done, i.e. building applications, while at the same time enabling the IT operations teams to put the right sort of guardrails in place around compliance and security performance concerns, these sorts of elements. And so being by being able to have the IT operations team really manage that logical application at that more abstract level, and then have the developer be able to push in new containers or new VMs or whatever they need inside of that abstraction. It actually allows those two teams to work actually together and work together better. They're not stepping over each other. But in fact, now they can both get what they need to get done, done, and do so as quickly as possible but while also being safe, and in compliance, and so forth. >> So there's a lot more to this, this is a very significant release, right? Again, a lot of foreshadowing, if you go out and read the tea leaves, it's a pretty significant kind of re-architecture of many, many parts of vSphere. So beyond the Kubernetes, kind of what are some of the other things that are coming out in this very significant release? >> Yeah, that's a great question, because we tend to talk a lot about Kubernetes, what was Project Pacific, but it's now just part of vSphere. And certainly, that is a very large aspect of it. But to your point, vSphere 7 is a massive release with all sorts of other features. And so there is a demo here, let's pull up some slides. And we're ready to take a look at what's there. So, outside of Kubernetes, there's kind of three main categories that we think about when we look at vSphere 7. So the first first one is simplified Lifecycle Management. And then really focused on security as a second one, and then applications as well, but both including, the cloud native apps that could fit in the Kubernetes bucket as well as others. And so we go on the first one, the first column there, there's a ton of stuff that we're doing, around simplifying life cycles. So let's go to the next slide here where we can dive in a little bit more to the specifics. So we have this new technology vSphere Lifecycle Management, vLCM. And the idea here is how do we dramatically simplify upgrades, lifecycle management of the ESX clusters and ESX hosts? How do we make them more declarative, with a single image, you can now specify for an entire cluster. We find that a lot of our vSphere admins, especially at larger scales, have a really tough time doing this. There's a lot of ins and outs today, it's somewhat tricky to do. And so we want to make it really, really simple and really easy to automate as well. >> So if you're doing Kubernetes on Kubernetes, I suppose you're going to have automation on automation, because upgrading to the sevens is probably not an inconsequential task. >> And yeah, and going forward and allowing you as we start moving to deliver a lot of this great VCR functionality at a more rapid clip. How do we enable our customers to take advantage of all those great things we're putting out there as well. >> Next big thing you talk about is security. >> Yep >> We just got back from RSA. Thank goodness, we got that show in before all the badness started. But everyone always talks about security is got to be baked in from the bottom to the top. Talk about kind of the the changes in the security. >> So I've done a lot of things around security, things around identity federation, things around simplifying certificate management, dramatic simplifications they're across the board. What I want to focus on here, on the next slide is actually what we call vSphere Trust Authority. And so with that one, what we're looking at here is how do we reduce the potential attack surfaces, and really ensure there's a trusted computing base? When we talk to customers, what we find is that they're nervous about a lot of different threats, including even internal ones, right? How do they know all the folks that work for them can be fully trusted. And obviously, if you're hiring someone, you somewhat trust them. How do you implement the concept of least privilege. >> Jeff: Or zero trust (murmurs) >> Exactly. So they idea with trust authority that we can specify a small number of physical ESX hosts that you can really lock down ensure a fully secure, those can be managed by a special vCenter Server, which is in turn very locked down, only a few people have access to it. And then those hosts and that vCenter can then manage other hosts that are untrusted and can use attestation to actually prove that, okay, this untrusted host haven't been modified, we know they're okay, so they're okay to actually run workloads or they're okay to put data on and that sort of thing. So it's this kind of like building block approach to ensure that businesses can have a very small trust base off of which they can build to include their entire vSphere environment. >> And then the third kind of leg of the stool is, just better leveraging, kind of a more complex asset ecosystem, if you will, with things like FPGAs and GPUs, and kind of all of the various components that power these different applications which now the application can draw the appropriate resources as needed. So you've done a lot of work there as well. >> Yeah, there's a ton of innovation happening in the hardware space, as you mentioned, all sorts of accelerators coming out. We all know about GPUs, and obviously what they can do for machine learning and AI type use cases, not to mention 3D rendering. But FPGAs, and all sorts of other things coming down the pike as well there. And so what we found is that as customers try to roll these out, they have a lot of the same problems that we saw in the very early days of virtualization, i.e. silos of specialized hardware that different teams were using. And what you find is, all the things we found before you find very low utilization rates, inability to automate that, inability to manage that well, putting security and compliance and so forth. And so this is really the reality that we see in most customers and it's funny because, and sometimes you think, "Wow, shouldn't we be past this?" As an industry should we have solved this already, we did this with virtualization. But as it turns out, the virtualization we did was for compute and then storage network. But now we really need to virtualize all these accelerators. And so that's where this bit fusion technology that we're including now with vSphere, really comes to the forefront. So if you see in the current slide, we're showing here, the challenges that just these separate pools of infrastructure, how do you manage all that? And so if the we go to the next slide, what we see is that, with that fusion, you can do the same thing that we saw with compute virtualization, you can now pool all these different silos infrastructure together. So they become one big pool of GPUs of infrastructure that anyone in an organization can use. We can, have multiple people sharing a GPU, we can do it very dynamically. And the great part of it is that it's really easy for these folks to use. They don't even need to think about it, in fact, integrates seamlessly with their existing workflows. >> So it's free, it's pretty cheap, because the classifications of the assets now are much, much larger, much varied and much more workload specific right. That's really the opportunity slash challenge there. >> They are a lot more diverse And so like, a couple other things just, I don't have a slide on it, but just things we're doing to our base capabilities, things around DRS and vMotion. Really massive evolutions there as well to support a lot of these bigger workloads, right. So you look at some of the massive SAP HANA or Oracle databases, and how do we ensure that vMotion can scale to handle those, without impacting their performance or anything else there? Making DRS smarter about how it does load balancing, and so forth. So a lot of the stuff not just kind of brand new, cool new accelerator stuff, but it's also how do we ensure the core as people have already been running for many years, we continue to keep up with the innovation and scale there as well. >> All right. So Jared I give you the last word. You've been working on this for a while. There's a whole bunch of admins that have to sit and punch keys. What do you tell them? What should they be excited about? What are you excited for them in this new release? >> I think what I'm excited about is how IT can really be an enabler of the transformation of modern apps. I think today, you look at all of these organizations, and what ends up happening is, the app team ends up sort of building their own infrastructure on top of IT infrastructure. And so, now, I think we can shift that story around. I think that there's an interesting conversation that a lot of IT departments and app dev teams are going to be having over the next couple of years about how do we really offload some of these infrastructure tasks from the dev team? Make you more productive, give you better performance, availability, disaster recovery and these kinds of capabilities. >> Awesome. Well, Jared, congratulation and Kit both of you for getting the release out. I'm sure it was a heavy lift. And it's always good to get it out in the world and let people play with it. And thanks for for sharing a little bit more of a technical deep dive into this ton more resources for people that didn't want to go down into the weeds. So thanks for stopping by. >> Thank you. >> Thank you. >> Alright, he's Jared, he's Kit, I'm Jeff. You're watching theCube. We're in the Palo Alto Studios. Thanks for watching, we'll see you next time. (upbeat music) >> Hi, and welcome to a special Cube Conversation. I'm Stu Miniman, and we're digging into VMware vSphere 7 announcement. We've had conversations with some of the executives some of the technical people, but we know that there's no better way to really understand the technology than to talk to some of the practitioners that are using it. So really happy to have joined me on the program. I have Philip Buckley-Mellor, who is an infrastructure designer with British Telecom joining me digitally from across the pond. Phil, thanks so much for joining us. >> Nice too. >> Alright, so Phil, let's start of course, British Telecom, I think most people know, you know what BT is and it's, really sprawling company. Tell us a little bit about, your group, your role and what's your mandate. >> Okay, so, my group is called service platforms. It's the bit of BT that services all of our multi millions of our customers. So we have broadband, we have TV, we have mobile, we have DNS and email systems. And it's all about our customers. It's not a B2B part of BT, you're with me? We specifically focus on those kind of multi million customers that we've got in those various services. And in particular, my group we do infrastructure. we really do from data center all the way up to really about boot time or so we'll just pass boot time, and the application developers look after that stage and above. >> Okay, great, we definitely going to want to dig in and talk about that, that boundary between the infrastructure teams and the application teams. But let's talk a little bit first, we're talking about VMware. So, how long has your organization been doing VMware and tell us, what you see with the announcement that VMware is making for vSphere 7? >> Sure, well, I mean, we've had really great relationship with VMware for about 12, 13 years, something like that. And it's a absolutely key part of our infrastructure. It's written throughout BT, really, in every part of our operations, design, development, and the whole ethos of the company is based around a lot of VMware products. And so one of the challenges that we've got right now is application architectures are changing quite significantly at the moment, And as you know, in particular with serverless, and with containers and a whole bunch of other things like that. We're very comfortable with our ability to manage VMs and have been for a while. We currently use extensively we use vSphere NSXT, VROPs, login site, network insight and a whole bunch of other VMware constellation applications. And our operations teams know how to use that they know how to optimize, they know how to pass the plan, and (murmurs). So that's great. And that's been like that for half a decade at least, we've been really, really confident with our ability to deal with VMware environments. And along came containers and like, say, multi cloud as well. And what we were struggling with was the inability to have a single pane of glass, really on all of that, and to use the same people and the same processes to manage a different kind of technology. So we, we've been working pretty closely with VMware on a number of different containerization products. For several years now, I've worked really closely with the vSphere integrated containers, guys in particular, and now with the Pacific guys, with really the ideal that when we bring in version seven and the containerization aspects of version seven, we'll be in a position to have that single pane of glass to allow our operations team to really barely differentiate between what's a VM and what's a container. That's really the Holy Grail. So we'll be able to allow our developers to develop, our operations team to deploy and to operate, and our designers to see the same infrastructure, whether that's on-premises, cloud or off-premises, and be able to manage the whole piece in that respect. >> Okay, so Phil, really interesting things you walk through here, you've been using containers in a virtualized environment for a number of years, want to understand and the organizational piece just a little bit, because it sounds great, I manage all the environment, but, containers are a little bit different than VMs. if I think back, from an application standpoint, it was, let's stick it in a VM, I don't need to change it. And once I spin up a VM, often that's going to sit there for, months, if not years, as opposed to, I think about a containerization environment. It's, I really want to pool of resources, I'm going to create and destroy things all the time. So, bring us inside that organizational piece. How much will there needs to be interaction and more interaction or change in policies between your infrastructure team and your app dev team? >> Well, yes, me absolutely right, that's the nature and the timescales that we're talking about between VMs and containers is wildly different. As you say, we probably almost certainly have Vms in place now that were in place in 2018 certainly I imagine, and haven't really been touched. Whereas as you say, VMs and a lot of people talk about spinning them all up all the time. There are parts of architecture that require that, in particular, the very client facing bursty stuff, does require spinning up and spinning down pretty quickly. But some of our some of our other containers do sit around for weeks, if not months, really does depend on the development cycle aspects of that, but the heartbeat that we've really had was just visualizing it. And there are a number of different products out there that allow you to see the behavior of your containers and understand the resource requirements that they are having at any given moment. Allies troubleshoot and seven. But they need any problems, the new things that we we will have to get used to. And also it seems that there's an awful lot of competing products, quite a Venn diagram of in terms of functionality and user abilities to do that. So again coming back to being able to manage through vSphere. And to be able to have a list of VMs on alongside is a list of containers and to be able to use policies to define how they behave in terms of their networking, to be able to essentially put our deployments on rails by using in particular tag based policies, means that we can take the onus of security, we can take the onus of performance management and capacity management away from the developers who don't really have a lot of time, and they can just get on with their job, which is to develop new functionality, and help our customers. So that means then we have to be really responsible about defining those policies, and making sure that they're adhered to. But again, we know how to do that with the VMs through vSphere. So the fact that we can actually apply that straight away, just with slightly different compute unit, is really what we're talking about here is ideal, and then to be able to extend that into multiple clouds as well, because we do use multiple clouds where (murmurs) and as your customers, and we're between them is an opportunity that we can't do anything other than be excited about (murmurs) >> Yeah, Phil, I really like how you described really the changing roles that are happening there in your organization need to understand, right? There's things that developers care about the they want to move fast, they want to be able to build new things and there's things that they shouldn't have to worry about. And, you know, we talked about some of the new world and it's like, oh, can the platform underneath this take care of it? Well, there's some things platforms take care of, there's some things that the software or your team is going to need to understand. So maybe if you could dig in a little bit, some of those, what are the drivers from your application portfolio? What is the business asking of your organization that's driving this change? And being one of those tail winds pushing you towards, Kubernetes and the vSphere 7 technologies? >> Well, it all comes down to the customers, right? Our customers want new functionality. They want new integrations, they want new content, they want better stability and better performance and our ability to extend or contracting capacity as needed as well. So there will be ultimate challenges that we want to give our customers the best possible experience of our products and services. So we have to have address that really from a development perspective, it's our developers have the responsibility to, design and deploy those. So, in infrastructure, we have to act as a firm, foundation, really underneath all of that. That allows them to know that what they spend their time and develop and want to push out to our customers is something that can be trusted is performant. We understand where the capacity requirements are coming from in the short term, and in the long term for that, and he's secure as well, obviously, is a big aspect to it. And so really, we're just providing our developers with the best possible chance of giving our customers what will hopefully make them delighted. >> Great, Phil, you've mentioned a couple of times that you're using public clouds as well as, your VMware firm. Want to make sure I if you can explain a little bit a couple of things. Number one is, when it comes to your team, especially your infrastructure team, how much are they in involved with setting up some of the basic pieces or managing things like performance in the public cloud. And secondly, when you look at your applications, or some of your clouds, some of your applications hybrid going between the data center and the public cloud. And I haven't talked to too many customers that are doing applications that just live in any cloud and move things around. But you know, maybe if you could clarify those pieces as to, what cloud really means to your organization and your applications? >> Sure, well, I mean, tools. Cloud allows us to accelerate development, which is nice because it means we don't have to do on-premises capacity lifts for new pieces of functionality are so we can initially build in the cloud and test in the cloud. But very often, applications really make better sense, especially in the TV environment where people watch TV all the time. I mean, yes, there are peak hours and lighter hours of TV watching. Same goes for broadband really. But we generally were well more than an eight hour application profile. So what that allows us to do then is to have applications that are, well, it makes sense. We run them inside our organization where we have to run them in our organization for, data protection reasons or whatever, then we can do that as well. But where we say, for instance, we have a boxing match on. And we're going to be seeing an enormous spike in the amount of customers that want to sign up into our auto journey to allow them to view that and to gain access to that, well, why would you spend a lot of money on servers just for that level of additional capacity? So we do absolutely have hybrid applications, not sorry, hybrid blocks, we have blocks of sub applications, dozens of them really to support our platform. And what you would see is that if you were to look at our full application structure for one of the platforms, I mentioned, that some of the some of those application blocks have to run inside some can run outside and what we want to be able to do is to allow our operations team to define that, again, by policies to where they run, and to, have a system that allows us to transparently see where they're running, how they're running, and the implications of those decisions so that we can tune those maybe in the future as well. And that way, we best serve our customers. We got to get our customers yeah, what they need. >> All right, great, Phil, final question I have for you, you've been through a few iterations of looking at VMs containers, public cloud, what what advice would you give your peers with the announcement of vSphere 7 and how they can look at things today in 2020 versus what they might have looked at, say a year or two ago? >> Well, I'll be honest, I was a little bit surprised by vSphere 7. We knew that VMware will working on trying to make containers on the same level, both from a management deployment perspective as VMs. I mean, they're called VMware after all right? And we knew that they were looking at that. But I was surprised by just quite how quickly they've managed to almost completely reinvent the application, really. It's, you know, if you look at the whole Tansy stuff and the Mission Control stuff, I think a lot of people were blown away by just quite how happy VMware were to reinvent themselves from an application perspective, and to really leap forward. And this is, between version six and seven. I've been following these since version three, at least. And it's an absolutely revolutionary change in terms of the overall architecture. The aims to, to what they want to achieve with the application. And luckily, the nice thing is, is that if you're used to version six is not that big a deal, it's really not that big a deal to move forward at all, it's not such a big change to process and training and things like that. But my word, there's an awful lot of work underneath that, underneath the covers. And I'm really excited. And I think all the people in my position should really use take it as an opportunity to revisit what they can achieve with, in particular with vSphere, and with in combination with NSXT, it's quite hard to put into place unless you've seen the slides about it and unless you've seen the product, just how revolutionary the version seven is compared to previous versions, which have kind of evolved through a couple of years. So yeah, I think I'm really excited about it. And I know a lot of my peers or the companies that I speak with quite often are very excited about seven as well. So yeah, I'm really excited about though the whole base >> Well, Phil, thank you so much. Absolutely no doubt this is a huge move for VMware, the entire company and their ecosystem rallying around, help move to the next phase of where application developers and infrastructure need to go. Phil Buckley joining us from British Telecom. I'm Stu Miniman. Thank you so much for watching theCube. (upbeat music)