>>Hi everybody. This is Dave Volante. Welcome to this cube conversation where we're going to go back in time a little bit and explore the early days of Kubernetes. Talk about how it formed the improbable events, perhaps that led to it. And maybe how customers are taking advantage of containers and container orchestration today, and maybe where the industry is going. Matt Provo is here. He's the founder and CEO of storm forge and Chandler Huntington hoes. Hoisington is the general manager of EKS edge and hybrid AWS guys. Thanks for coming on. Good to see you. Thanks for having me. Thanks. So, Jenny, you were the vice president of engineering at miso sphere. Is that, is that correct? >>Well, uh, vice-president engineering basis, fear and then I ran product and engineering for DTQ masons. >>Yeah. Okay. Okay. So you were there in the early days of, of container orchestration and Matt, you, you were working at a S a S a Docker swarm shop, right? Yep. Okay. So I mean, a lot of people were, you know, using your platform was pretty novel at the time. Uh, it was, it was more sophisticated than what was happening with, with Kubernetes. Take us back. What was it like then? Did you guys, I mean, everybody was coming out. I remember there was, I think there was one Docker con and everybody was coming, the Kubernetes was announced, and then you guys were there, doc Docker swarm was, was announced and there were probably three or four other startups doing kind of container orchestration. And what, what were those days like? Yeah. >>Yeah. I wasn't actually atmosphere for those days, but I know them well, I know the story as well. Um, uh, I came right as we started to pivot towards Kubernetes there, but, um, it's a really interesting story. I mean, obviously they did a documentary on it and, uh, you know, people can watch that. It's pretty good. But, um, I think that, from my perspective, it was, it was really interesting how this happened. You had basically, uh, con you had this advent of containers coming out, right? So, so there's new novel technology and Solomon, and these folks started saying, Hey, you know, wait a second, wait if I put a UX around these couple of Linux features that got launched a couple of years ago, what does that look like? Oh, this is pretty cool. Um, so you have containers starting to crop up. And at the same time you had folks like ThoughtWorks and other kind of thought leaders in the space, uh, starting to talk about microservices and saying, Hey, monoliths are bad and you should break up these monoliths into smaller pieces. >>And any Greenfield application should be broken up into individuals, scalable units that a team can can own by themselves, and they can scale independent of each other. And you can write tests against them independently of other components. And you should break up these big, big mandalas. And now we are kind of going back to model this, but that's for another day. Um, so, so you had microservices coming out and then you also had containers coming out, same time. So there was like, oh, we need to put these microservices in something perfect. We'll put them in containers. And so at that point, you don't really, before that moment, you didn't really need container orchestration. You could just run a workload in a container and be done with it, right? You didn't need, you don't need Kubernetes to run Docker. Um, but all of a sudden you had tons and tons of containers and you had to manage these in some way. >>And so that's where container orchestration came, came from. And, and Ben Heineman, the founder of Mesa was actually helping schedule spark at the time at Berkeley. Um, and that was one of the first workloads with spark for Macy's. And then his friends at Twitter said, Hey, come over, can you help us do this with containers at Twitter? He said, okay. So when it helped them do it with containers at Twitter, and that's kinda how that branch of the container wars was started. And, um, you know, it was really, really great technology and it actually is still in production in a lot of shops today. Um, uh, more and more people are moving towards Kubernetes and Mesa sphere saw that trend. And at the end of the day, Mesa sphere was less concerned about, even though they named the company Mesa sphere, they were less concerned about helping customers with Mesa specifically. They really want to help customers with these distributed problems. And so it didn't make sense to, to just do Mesa. So they would took on Kubernetes as well. And I hope >>I don't do that. I remember, uh, my, my co-founder John furrier introduced me to Jerry Chen way back when Jerry is his first, uh, uh, VC investment with Greylock was Docker. And we were talking in these very, obviously very excited about it. And, and his Chandler was just saying, it said Solomon and the team simplified, you know, containers, you know, simple and brilliant. All right. So you guys saw the opportunity where you were Docker swarm shop. Why? Because you needed, you know, more sophisticated capabilities. Yeah. But then you, you switched why the switch, what was happening? What was the mindset back then? We ran >>And into some scale challenges in kind of operationalize or, or productizing our kind of our core machine learning. And, you know, we, we, we saw kind of the, the challenges, luckily a bit ahead of our time. And, um, we happen to have someone on the team that was also kind of moonlighting, uh, as one of the, the original core contributors to Kubernetes. And so as this sort of shift was taking place, um, we, we S we saw the flexibility, uh, of what was becoming Kubernetes. Um, and, uh, I'll never forget. I left on a Friday and came back on a Monday and we had lifted and shifted, uh, to Kubernetes. Uh, the challenge was, um, you know, you, at that time, you, you didn't have what you have today through EKS. And, uh, those kinds of services were, um, just getting that first cluster up and running was, was super, super difficult, even in a small environment. >>And so I remember we, you know, we, we finally got it up and running and it was like, nobody touch it, don't do anything. Uh, but obviously that doesn't, that doesn't scale either. And so that's really, you know, being kind of a data science focused shop at storm forge from the very beginning. And that's where our core IP is. Uh, our, our team looked at that problem. And then we looked at, okay, there are a bunch of parameters and ways that I can tune this application. And, uh, why are the configurations set the way that they are? And, you know, uh, is there room to explore? And that's really where, unfortunately, >>Because Mesa said much greater enterprise capabilities as the Docker swarm, at least they were heading in that direction, but you still saw that Kubernetes was, was attractive because even though it didn't have all the security features and enterprise features, because it was just so simple. I remember Jen Goldberg who was at Google at the time saying, no, we were focused on keeping it simple and we're going from mass adoption, but does that kind of what you said? >>Yeah. And we made a bet, honestly. Uh, we saw that the, uh, you know, the growing community was really starting to, you know, we had a little bit of an inside view because we had, we had someone that was very much in the, in the original part, but you also saw the, the tool chain itself start to, uh, start to come into place right. A little bit. And it's still hardening now, but, um, yeah, we, as any, uh, as any startup does, we, we made a pivot and we made a bet and, uh, this, this one paid off >>Well, it's interesting because, you know, we said at the time, I mean, you had, obviously Amazon invented the modern cloud. You know, Microsoft has the advantage of has got this huge software stays, Hey, just now run it into the cloud. Okay, great. So they had their entry point. Google didn't have an entry point. This is kind of a hail Mary against Amazon. And, and I, I wrote a piece, you know, the improbable, Verizon, who Kubernetes to become the O S you know, the cloud, but, but I asked, did it make sense for Google to do that? And it never made any money off of it, but I would argue they, they were kind of, they'd be irrelevant if they didn't have, they hadn't done that yet, but it didn't really hurt. It certainly didn't hurt Amazon EKS. And you do containers and your customers you've embraced it. Right. I mean, I, I don't know what it was like early days. I remember I've have talked to Amazon people about this. It's like, okay, we saw it and then talk to customers, what are they doing? Right. That's kind of what the mindset is, right? Yeah. >>That's, I, I, you know, I've, I've been at Amazon a couple of years now, and you hear the stories of all we're customer obsessed. We listened to our customers like, okay, okay. We have our company values, too. You get told them. And when you're, uh, when you get first hired in the first day, and you never really think about them again, but Amazon, that really is preached every day. It really is. Um, uh, and that we really do listen to our customers. So when customers start asking for communities, we said, okay, when we built it for them. So, I mean, it's, it's really that simple. Um, and, and we also, it's not as simple as just building them a Kubernetes service. Amazon has a big commitment now to start, you know, getting involved more in the community and working with folks like storm forage and, and really listening to customers and what they want. And they want us working with folks like storm florigen and that, and that's why we're doing things like this. So, well, >>It's interesting, because of course, everybody looks at the ecosystem, says, oh, Amazon's going to kill the ecosystem. And then we saw an article the other day in, um, I think it was CRN, did an article, great job by Amazon PR, but talk about snowflake and Amazon's relationship. And I've said many times snowflake probably drives more than any other ISV out there. And so, yeah, maybe the Redshift guys might not love snowflake, but Amazon in general, you know, they're doing great three things. And I remember Andy Jassy said to me, one time, look, we love the ecosystem. We need the ecosystem. They have to innovate too. If they don't, you know, keep pace, you know, they're going to be in trouble. So that's actually a healthy kind of a dynamic, I mean, as an ecosystem partner, how do you, >>Well, I'll go back to one thing without the work that Google did to open source Kubernetes, a storm forge wouldn't exist, but without the effort that AWS and, and EKS in particular, um, provides and opens up for, for developers to, to innovate and to continue, continue kind of operationalizing the shift to Kubernetes, um, you know, we wouldn't have nearly the opportunity that we do to actually listen to them as well, listen to the users and be able to say, w w w what do you want, right. Our entire reason for existence comes from asking users, like, how painful is this process? Uh, like how much confidence do you have in the, you know, out of the box, defaults that ship with your, you know, with your database or whatever it is. And, uh, and, and how much do you love, uh, manually tuning your application? >>And, and, uh, obviously nobody's said, I love that. And so I think as that ecosystem comes together and continues expanding, um, it's just, it opens up a huge opportunity, uh, not only for existing, you know, EKS and, uh, AWS users to continue innovating, but for companies like storm forge, to be able to provide that opportunity for them as well. And, and that's pretty powerful. So I think without a lot of the moves they've made, um, you know, th the door wouldn't be nearly as open for companies like, who are, you know, growing quickly, but are smaller to be able to, you know, to exist. >>Well, and I was saying earlier that, that you've, you're in, I wrote about this, you're going to get better capabilities. You're clearly seeing that cluster management we've talked about better, better automation, security, the whole shift left movement. Um, so obviously there's a lot of momentum right now for Kubernetes. When you think about bare metal servers and storage, and then you had VM virtualization, VMware really, and then containers, and then Kubernetes as another abstraction, I would expect we're not at the end of the road here. Uh, what's next? Is there another abstraction layer that you would think is coming? Yeah, >>I mean, w for awhile, it looked like, and I remember even with our like board members and some of our investors said, well, you know, well, what about serverless? And, you know, what's the next Kubernetes and nothing, we, as much as I love Kubernetes, um, which I do, and we do, um, nothing about what we particularly do. We are purpose built for Kubernetes, but from a core kind of machine learning and problem solving standpoint, um, we could apply this elsewhere, uh, if we went that direction and so time will tell what will be next, then there will be something, uh, you know, that will end up, you know, expanding beyond Kubernetes at some point. Um, but, you know, I think, um, without knowing what that is, you know, our job is to, to, to serve our, you know, to serve our customers and serve our users in the way that they are asking for that. >>Well, serverless obviously is exploding when you look again, and we tucked the ETR survey data, when you look at, at the services within Amazon and other cloud providers, you know, the functions off, off the charts. Uh, so that's kind of an interesting and notable now, of course, you've got Chandler, you've got edge in your title. You've got hybrid in, in your title. So, you know, this notion of the cloud expanding, it's not just a set of remote services, just only in the public cloud. Now it's, it's coming to on premises. You actually got Andy, Jesse, my head space. He said, one time we just look at it. The data centers is another edge location. Right. Okay. That's a way to look at it and then you've got edge. Um, so that cloud is expanding, isn't it? The definition of cloud is, is, is evolving. >>Yeah, that's right. I mean, customers one-on-one run workloads in lots of places. Um, and that's why we have things like, you know, local zones and wavelengths and outposts and EKS anywhere, um, EKS, distro, and obviously probably lots more things to come. And there's, I always think of like, Amazon's Kubernetes strategy on a manageability scale. We're on one far end of the spectrum, you have EKS distro, which is just a collection of the core Kubernetes packages. And you could, you could take those and stand them up yourself in a broom closet, in a, in a retail shop. And then on the other far in the spectrum, you have EKS far gate where you can just give us your container and we'll handle everything for you. Um, and then we kind of tried to solve everything in between for your data center and for the cloud. And so you can, you can really ask Amazon, I want you to manage my control plane. I want you to manage this much of my worker nodes, et cetera. And oh, I actually want help on prem. And so we're just trying to listen to customers and solve their problems where they're asking us to solve them. Cut, >>Go ahead. No, I would just add that in a more vertically focused, uh, kind of orientation for us. Like we, we believe that op you know, optimization capabilities should transcend the location itself. And, and, and so whether that's part public part, private cloud, you know, that's what I love part of what I love about EKS anywhere. Uh, it, you know, you shouldn't, you should still be able to achieve optimal results that connect to your business objectives, uh, wherever those workloads, uh, are, are living >>Well, don't wince. So John and I coined this term called Supercloud and people laugh about it, but it's different. It's, it's, you know, people talk about multi-cloud, but that was just really kind of vendor diversity. Right? I got to running here, I'm running their money anywhere. Uh, but, but individually, and so Supercloud is this concept of this abstraction layer that floats wherever you are, whether it's on prem, across clouds, and you're taking advantage of those native primitives, um, and then hiding that underlying complexity. And that's what, w re-invent the ecosystem was so excited and they didn't call it super cloud. We, we, we called it that, but they're clearly thinking differently about the value that they can add on top of Goldman Sachs. Right. That to me is an example of a Supercloud they're taking their on-prem data and their, their, their software tooling connecting it to AWS. They're running it on AWS, but they're, they're abstracting that complexity. And I think you're going to see a lot, a lot more of that. >>Yeah. So Kubernetes itself, in many cases is being abstracted away. Yeah. There's a disability of a disappearing act for Kubernetes. And I don't mean that in a, you know, in an, a, from an adoption standpoint, but, uh, you know, Kubernetes itself is increasingly being abstracted away, which I think is, is actually super interesting. Yeah. >>Um, communities doesn't really do anything for a company. Like we run Kubernetes, like, how does that help your bottom line? That at the end of the day, like companies don't care that they're running Kubernetes, they're trying to solve a problem, which is the, I need to be able to deploy my applications. I need to be able to scale them easily. I need to be able to update them easily. And those are the things they're trying to solve. So if you can give them some other way to do that, I'm sure you know, that that's what they want. It's not like, uh, you know, uh, a big bank is making more money because they're running Kubernetes. That's not, that's not the current, >>It gets subsumed. It's just become invisible. Right. Exactly. You guys back to the office yet. What's, uh, what's the situation, >>You know, I, I work for my house and I, you know, we go into the office a couple of times a week, so it's, it's, uh, yeah, it's, it's, it's a crazy time. It's a crazy time to be managing and hiring. And, um, you know, it's, it's, it's, it's definitely a challenge, but there's a lot of benefits of working home. I got two young kids, so I get to see them, uh, grow up a little bit more working, working out of my house. So it's >>Nice also. >>So we're in, even as a smaller startup, we're in 26, 27 states, uh, Canada, Germany, we've got a little bit of presence in Japan, so we're very much distributed. Um, we, uh, have not gone back and I'm not sure we will >>Permanently remote potentially. >>Yeah. I mean, w we made a, uh, pretty like for us, the timing of our series B funding, which was where we started hiring a lot, uh, was just before COVID started really picking up. So we, you know, thankfully made a, a pretty good strategic decision to say, we're going to go where the talent is. And yeah, it was harder to find for sure, especially in w we're competing, it's incredibly competitive. Uh, but yeah, we've, it was a good decision for us. Um, we are very about, you know, getting the teams together in person, you know, as often as possible and in the safest way possible, obviously. Um, but you know, it's been a, it's been a pretty interesting, uh, journey for us and something that I'm, I'm not sure I would, I would change to be honest with you. Yeah. >>Well, Frank Slootman, snowflakes HQ to Montana, and then can folks like Michael Dell saying, Hey, same thing as you, wherever they want to work, bring yourself and wherever you are as cool. And do you think that the hybrid mode for your team is kind of the, the, the operating mode for the, for the foreseeable future is a couple of, >>No, I think, I think there's a lot of benefits in both working from the office. I don't think you can deny like the face-to-face interactions. It feels good just doing this interview face to face. Right. And I can see your mouth move. So it's like, there's a lot of benefits to that, um, over a chime call or a zoom call or whatever, you know, that, that also has advantages, right. I mean, you can be more focused at home. And I think some version of hybrid is probably in the industry's future. I don't know what Amazon's exact plans are. That's above my pay grade, but, um, I know that like in general, the industry is definitely moving to some kind of hybrid model. And like Matt said, getting people I'm a big fan at Mesa sphere, we ran a very diverse, like remote workforce. We had a big office in Germany, but we'd get everybody together a couple of times a year for engineering week or, or something like this. And you'd get a hundred people, you know, just dedicated to spending time together at a hotel and, you know, Vegas or Hamburg or wherever. And it's a really good time. And I think that's a good model. >>Yeah. And I think just more ETR data, the current thinking now is that, uh, the hybrid is the number one sort of model, uh, 36% that the CIO is believe 36% of the workforce are going to be hybrid permanently is kind of their, their call a couple of days in a couple of days out. Um, and the, the percentage that is remote is significantly higher. It probably, you know, high twenties, whereas historically it's probably 15%. Yeah. So permanent changes. And that, that changes the infrastructure. You need to support it, the security models and everything, you know, how you communicate. So >>When COVID, you know, really started hitting and in 2020, um, the big banks for example, had to, I mean, you would want to talk about innovation and ability to, to shift quickly. Two of the bigger banks that have in, uh, in fact, adopted Kubernetes, uh, were able to shift pretty quickly, you know, systems and things that were, you know, historically, you know, it was in the office all the time. And some of that's obviously shifted back to a certain degree, but that ability, it was pretty remarkable actually to see that, uh, take place for some of the larger banks and others that are operating in super regulated environments. I mean, we saw that in government agencies and stuff as well. >>Well, without the cloud, no, this never would've happened. Yeah. >>And I think it's funny. I remember some of the more old school manager thing people are, aren't gonna work less when they're working from home, they're gonna be distracted. I think you're seeing the opposite where people are too much, they get burned out because you're just running your computer all day. And so I think that we're learning, I think everyone, the whole industry is learning. Like, what does it mean to work from home really? And, uh, it's, it's a fascinating thing is as a case study, we're all a part of right now. >>I was talking to my wife last night about this, and she's very thoughtful. And she w when she was in the workforce, she was at a PR firm and a guy came in a guest speaker and it might even be in the CEO of the company asking, you know, what, on average, what time who stays at the office until, you know, who leaves by five o'clock, you know, a few hands up, or who stays until like eight o'clock, you know, and enhancement. And then, so he, and he asked those people, like, why, why can't you get your work done in a, in an eight hour Workday? I go home. Why don't you go in? And I sit there. Well, that's interesting, you know, cause he's always looking at me like, why can't you do, you know, get it done? And I'm saying the world has changed. Yeah. It really has where people are just on all the time. I'm not sure it's sustainable, quite frankly. I mean, I think that we have to, you know, as organizations think about, and I see companies doing it, you guys probably do as well, you know, take a four day, you know, a week weekend, um, just for your head. Um, but it's, there's no playbook. >>Yeah. Like I said, we're a part of a case study. It's also hard because people are distributed now. So you have your meetings on the east coast, you can wake up at seven four, and then you have meetings on the west coast. You stay until seven o'clock therefore, so your day just stretches out. So you've got to manage this. And I think we're, I think we'll figure it out. I mean, we're good at figuring this stuff. >>There's a rise in asynchronous communication. So with things like slack and other tools, as, as helpful as they are in many cases, it's a, it, isn't always on mentality. And like, people look for that little green dot and you know, if you're on the you're online. So my kids, uh, you know, we have a term now for me, cause my office at home is upstairs and I'll come down. And if it's, if it's during the day, they'll say, oh dad, you're going for a walk and talk, you know, which is like, it was my way of getting away from the desk, getting away from zoom. And like, you know, even in Boston, uh, you know, getting outside, trying to at least, you know, get a little exercise or walk and get, you know, get my head away from the computer screen. Um, but even then it's often like, oh, I'll get a slack notification on my phone or someone will call me even if it's not a scheduled walk and talk. Um, uh, and so it is an interesting, >>A lot of ways to get in touch or productivity is presumably going to go through the roof. But now, all right, guys, I'll let you go. Thanks so much for coming to the cube. Really appreciate it. And thank you for watching this cube conversation. This is Dave Alante and we'll see you next time.

>>mhm mhm >>Hey guys, welcome back to Los Angeles lisa martin. Coming to you live from cuba con and cloud native Con north America 2021. Very excited to be here. This is our third day of back to back coverage on the cube and we've got a couple of guests cube alumni joining me remotely. Please welcome parse our karate senior consultant, product marketing, Dell Technologies and David Noi VP product management at Dell Technologies. Gentlemen welcome back to the program. >>Thanks johnny >>so far so let's go ahead and start with you. Let's talk about what Dell EMC is offering to developers today in terms of unstructured data. >>Absolutely, it's great to be here. So let me start with the container storage interface. This is Q khan and a couple of years ago the container storage interface was still in beta and the storage vendors, we're very enthusiastically kind of building the plug in city of the different storage portfolio to offer enterprise grade features to developers are building applications of the Cuban this platform. And today if you look at the deli in storage portfolio, big block volumes. Nash shares s three object A P I S beyond their virtual volumes. However you're consuming storage, you have the plug ins that are required to run your applications with these enterprise Great feature speech right about snap sharks data replication, all available in the Cuban this layer and just this week at coupon we announced the container storage modules which is kind of the next step of productivity for developers beat you know uh in terms of observe ability of the storage metrics using tools like Prometheus visualizing it ravana authorization capabilities so that you know too bad moments can have better resource management of the storage that is being consumed um that so there are these multiple models were released. And if you look at unstructured data, this term may be a bit new for our kind of not very family for developers but basically the storage. Well there is a distinction that is being made you know, between primary storage and unstructured storage or unstructured data solutions And by unstructured we mean file and object storage. If you look at the cube contact nickel sessions, I was very glad to see that there is an entire stream for um machine learning and data so that speaks to how popular communities deployment models are getting when it comes to machine learning and artificial intelligence. Um even applications like genomics and media and entertainment and with the container storage interface uh and the container storage modules with the object storage portfolio that bill has, we offer the comprehensive unstructured data solutions for developers beat object or file. And the advantage the developers are getting is these you know, if you look at platforms like power scale and these areas, these are like the industry workhorses with the highest performance. And if you think of scale, you know, think of 250 nasnotes, you know with a single name space with NVIDIA gpu direct capabilities. All these capabilities developers can use um for you know, applications like machine learning or any competition intensive for data intensive applications that requires these nass uh scale of mass platforms. So so um that's that's what is new in terms of uh what we are offering, you have the storage heaters >>got a parcel. Thank you. David, let's bring you into the conversation now you've launched objects scale at VM World. Talk to us about that, what some of the key features and capabilities are and some of those big business benefits that customers are going to be able to achieve. >>Sure thing. So I really want to focus on three of the biggest benefits. This would be the fact that the product is actually based on kubernetes country, the scale of the product and then its ability to do global replication. So let me just touch on those in order. Mhm You said that the product is based on kubernetes and here we are cube concept. The perfect time to be talking about that. This product really caters to those who are looking for a flexible way to deploy object storage in containerized fashion, appeals to the devops folks and folks who like to automate things and call the communities a P I. S to make uh the actual deployment of the product. Very simple in turnkey and that's really what people turn to kubernetes for is the ability to spin things up when they need them and spend them down as they don't and make that all on commodity hardware and commodity, you know, the quantity pricing and the idea there is that I'm making it as simple and easy as possible. You're not going to get as much shadow I. T. You won't have people going off and putting things off into a public cloud. And so where security of an organization or control of the data that flows with an organization is important. Having something that's easy for developers to use in the same paradigm that they're used to is critical. Now I talked about scale and you know, if you have come to me two years ago I would have told you, you know, kubernetes, yeah, containers people are kicking it around and they're doing some interesting science experiments, I would say in the last year I started to see a lot of requests from customers um in the dozens, even 200 petabyte range as it relates to capacity for committees and specifically looking for C. S. I and cozy with this. This this is the the object storage implementation of the container storage interfaces. Uh So skin was definitely there and the idea of this product is to provide easy scalability from the terabytes range into the multi petabyte range and again it's that ease of use, ease of deployment because it is kubernetes basically because it's a KPI driven that makes that possible. So we're talking about going from a three night minimum to thousands of nodes. and this allows people to deploy the product either at the edge or in the data center um in the edge because you can get very small deployments in the data center to massive scale. So we want to provide something that covers the gamut. The last thing I talked about was replication. So let me just touch upon what I mean by that uh when people go and build these deployments, if you're building a deployment at the edge of an object scale product, you're probably taking in sensor data or some kind of information that you want to then send back to a data center for processing. So you make it simple to do bucket based replication. An object, sorry object storage based replication to move things to another location. And uh that can be used either for bringing data back for analytics from the edge, it can be used for availability. So making sure that you have data available across multiple data centers in the case that you have an outage. It could be even used for sharing data between developers in one site and another site. So we provide that level of flexibility overall. Um this is the next generation object store leveraging. Dell technologies number one position in object storage. So I'm pretty excited about >>and how David is object scale integrated with VM ware software. Stop give us that slice and dice. >>Yeah, and that's a good question. And so, you know, we're talking about this being a Kubernetes based product, you can deploy it on open shift or we integrate directly with VM ware cloud foundation and with Tansy, which is VM ware's container orchestration and management platform. I've seen the demo of the product myself from my team and they've showed it to be did all of the management of the product was actually done within the V sphere Ui, which is great. So easy to go and just enter the V sphere. You I installed the product very simply have it up and running and then go and do all of your management through that user interface or to automate it using the same api is that you used to through VM ware and the 10 Zoo uh platform. >>Thank you, paris are back to you. Security is a big theme here in kubernetes. It's also been a big theme here. We've been talking about it the last three days here at cop con. How does Dell EMC's unstructured portfolio offer that necessary cyber protection that developers need to have and bake that into what they're doing. So >>surely, you know, they talk about cybersecurity, you know, there are different layers of security right from, you know, smarter firewalls to you know how to manage privileged account access and so on. And what we are trying to do is to provide a layer of cyber defense, right at the asset that you're trying to protect, which is the data and this is where the ransom their defender solution is basically detecting any patterns of the compromise that might have happened and alerting the I. T. Um administration about this um possible um intrusions into their into the data by looking at the data access parents in real time. So that's a pretty big deal. Then we're actually putting all this, you know, observance on the primary data and that's what the power scale platform cybersecurity protection features offers. Now we've also extended this kind of detection mechanism for the object data framework on pcs platforms as well. So this is like an additional layer of security at the um layer of uh you know where the data is actually being read and written. Do that's the area, you know, in case of object here we're looking at the S. Three traffic and trying to find his parents in case of a file data atmosphere, looking at the file's access parents and so on. So and in relation to this we're also providing uh data isolation mechanism that is very critical in many cyber recovery processes with the smart absolution as well. So this is something that the developers are getting for like without having to worry about it because that is something implemented at the infrastructure layer itself. So they don't have to worry about you know trying to court it or develop their application to integrate these kinds of things because it's an it's embedded in the infrastructure at the one of the FBI level at the E C. S A P I level. So that's pretty um pretty differentiating in the industry in the country storage solutions. I'll get. >>Uh huh. Yeah. I mean look if you look at what a lot of the object storage players are doing as it relates to cyber security. They're they're playing off the fact that they've implemented object lock and basically using that to lockdown data. And that's that's good. I mean I'm glad that they're doing that and if the case that you were able to lock something down and someone wasn't able to bypass that in some way, that's fantastic. Or if they didn't already encrypted before I got locked down what parts are is referring to is a little bit more than that. It's actually the ability to look at user behavior and determined that something bad is happening. So this is about actually being able to do, you know, predictive analytics being able to go and figure out that you're under attack. There's anomalous behavior um and we're able to go and actually infer from that that something bad is happening and where we think it's happening and lock it down even even more securely than for example just saying hey we provide object like capabilities which is one of the responses that I've seen out there from object storage vendors >>can you share with us. Parts are a customer example like walk us through how this is actually being used and deployed and what some of those business outcomes are. >>Yes lisa. So in terms of container realization itself, they have a media and entertainment kind of customer story here. Um Swiss TXT um they have a platform as a service where they serve their customer base with a range of uh you know, media production and broadcasting solutions and they have containers this platform and part of this computerization is part of their services is they offer infrastructure as a service to you know, media producers who need a high performance storage, high performance computing and power skill And Iceland have been their local solutions to offer this And now that they have containerized their core platform. Well you see a sign interface for power skills, they are able to continue to deliver the infrastructure, high performance infrastructure and storage services to their customers through the A. P I. And it's great to see how fast they could, you know, re factor their application but yet continue to offer the high performance and degrees enterprise grade uh features of the power scale platform. So Swiss Txt and would love to share more. Keep it on the story. Yeah. Hyperlink. >>And where can folks go to learn more about objects scale and what you guys are announcing? Yes, particular. You are a website that you want to direct folks too. >>I would say that technologies dot com. And uh that's the best place to start. >>Yeah, I would go to the Delta product pages around objects should be publicly built. >>Excellent guys, thank you for joining me on the program today. Walking through what how Dell EMC is helping developers with respect to unstructured data, Talking to us about objects skill that you launched VM world, some of those big customer benefits and of course showing us the validation, the proof in the pudding with that customer story. We appreciate your insights. >>Thank you. Thank you lisa >>For my guests. I'm Lisa Martin. You're watching the Cube live from Los Angeles. We're coming to you from our coverage of coupon and cloud native on North America 21. Coming back. Stick around. Rather I should say we'll be back after a short break with our next guest.

>>Yeah. >>Hello. Welcome to the Special Cube conversation here in Palo Alto, California. I'm John for a host of the Cube. We have a conversation around a I for the enterprise. What this means I got two great guests. John Finelli, Vice President, virtual GPU at NVIDIA and Maurizio D V D C T o University of Pisa in Italy. Uh, Practitioner, customer partner, um, got VM world coming up. A lot of action happening in the enterprise. John. Great to see you. Nice to meet you. Remotely coming in from Italy for this remote. >>John. Thanks for having us on again. >>Yeah. Nice to meet >>you. I wish we could be in person face to face, but that's coming soon. Hopefully, John, you were talking. We were just talking about before we came on camera about AI for the enterprise. And the last time I saw you in person was in Cuba interview. We were talking about some of the work you guys were doing in AI. It's gotten so much stronger and broader and the execution of an video, the success you're having set the table for us. What is the ai for the enterprise conversation frame? >>Sure. So, um, we, uh we've been working with enterprises today on how they can deliver a I or explore AI or get involved in a I, um uh, in a standard way in the way that they're used to managing and operating their data centre. Um, writing on top of you know, they're Dell servers with B M or V sphere. Um, so that AI feels like a standard workload that night organisation can deliver to their engineers and data scientists. And then the flip side of that, of course, is ensuring that engineers and data scientists get the workloads position to them or have access to them in the way that they need them. So it's no longer a trouble ticket that you have to submit to, I t and you know, count the hours or days or weeks until you you can get new hardware, right By being able to pull it into the mainstream data centre. I can enable self service provisioning for those folks. So we actually we make a I more consumable or easier to manage for I t administrators and then for the engineers and the data scientists, etcetera. We make it easy for them to get access to those resources so they can get to their work right away. >>Quite progress in the past two years. Congratulations on that and looking. It's only the beginning is Day one Mercy. I want to ask you about what's going on as the CTO University piece of what's happening down there. Tell us a little bit about what's going on. You have the centre of excellence there. What does that mean? What does that include? >>Uh, you know, uh, University of Peace. Are you one of one of the biggest and oldest in Italy? Uh, if you have to give you some numbers is around 50 K students and 3000 staff between, uh, professors resurgence and that cabinet receive staff. So I we are looking into data operation of the centres and especially supports for scientific computing. And, uh, this is our our daily work. Let's say this, uh, taking us a lot of times, but, you know, we are able to, uh, reserve a merchant percentage of our time, Uh, for r and D, And this is where the centre of excellence is, Uh, is coming out. Uh, so we are always looking into new kinds of technologies that we can put together to build new solutions to do next generation computing gas. We always say we are looking for the right partners to do things together. And at the end of the day is the work that is good for us is good for our partners and typically, uh, ends in a production system for our university. So is the evolution of the scientific computing environment that we have. >>Yeah. And you guys have a great track record and reputation of, you know, R and D, testing software, hardware combinations and sharing those best practises, you know, with covid impact in the world. Certainly we see it on the supply chain side. Uh, and John, we heard Jensen, your CEO and video talk multiple keynotes. Now about software, uh, and video being a software company. Dell, you mentioned Dale and VM Ware. You know, Covid has brought this virtualisation world back. And now hybrid. Those are words that we used basically in the text industry. Now it's you're hearing hybrid and virtualisation kicked around in real world. So it's ironic that vm ware and El, uh, and the Cube eventually all of us together doing more virtual stuff. So with covid impacting the world, how does that change you guys? Because software is more important. You gotta leverage the hardware you got, Whether it's Dell or in the cloud, this is a huge change. >>Yeah. So, uh, as you mentioned organisations and enterprises, you know, they're looking at things differently now, Um, you know, the idea of hybrid. You know, when you talk to tech folks and we think about hybrid, we always think about you know, how the different technology works. Um, what we're hearing from customers is hybrid, you know, effectively translates into, you know, two days in the office, three days remote, you know, in the future when they actually start going back to the office. So hybrid work is actually driving the need for hybrid I t. Or or the ability to share resources more effectively. Um, And to think about having resources wherever you are, whether you're working from home or you're in the office that day, you need to have access to the same resources. And that's where you know the the ability to virtualize those resources and provide that access makes that hybrid part seamless >>mercy What's your world has really changed. You have students and faculty. You know, Things used to be easy in the old days. Physical in this network. That network now virtual there. You must really be having him having impact. >>Yeah, we have. We have. Of course. As you can imagine, a big impact, Uh, in any kind of the i t offering, uh, from, uh, design new networking technologies, deploying new networking technologies, uh, new kind of operation we find. We found it at them. We were not able anymore to do burr metal operations directly, but, uh, from the i t point of view, uh, we were how can I say prepared in the sense that, uh, we ran from three or four years parallel, uh, environment. We have bare metal and virtual. So as you can imagine, traditional bare metal HPC cluster D g d g X machines, uh, multi GPU s and so on. But in parallel, we have developed, uh, visual environment that at the beginning was, as you can imagine, used, uh, for traditional enterprise application, or VD. I, uh, we have a significant significant arise on a farm with the grid for remote desktop remote pull station that we are using for, for example, uh, developing a virtual classroom or visual go stations. And so this is was typical the typical operation that we did the individual world. But in the same infrastructure, we were able to develop first HPC individual borders of utilisation of the HPC resources for our researchers and, uh, at the end, ai ai offering and ai, uh, software for our for our researchers, you can imagine our vehicle infrastructure as a sort of white board where we are able to design new solution, uh, in a fast way without losing too much performance. And in the case of the AI, we will see that we the performance are almost the same at the bare metal. But with all the flexibility that we needed in the covid 19 world and in the future world, too. >>So a couple things that I want to get John's thoughts as well performance you mentioned you mentioned hybrid virtual. How does VM Ware and NVIDIA fit into all this as you put this together, okay, because you bring up performance. That's now table stakes. He's leading scale and performance are really on the table. everyone's looking at it. How does VM ware an NVIDIA John fit in with the university's work? >>Sure. So, um, I think you're right when it comes to, uh, you know, enterprises or mainstream enterprises beginning their initial foray into into a I, um there are, of course, as performance in scale and also kind of ease of use and familiarity are all kind of things that come into play in terms of when an enterprise starts to think about it. And, um, we have a history with VM Ware working on this technology. So in 2019, we introduced our virtual compute server with VM Ware, which allowed us to effectively virtual is the Cuda Compute driver at last year's VM World in 2020 the CEOs of both companies got together and made an announcement that we were going to bring a I R entire video AI platform to the Enterprise on top of the sphere. And we did that, Um, starting in March this year, we we we finalise that with the introduction of GM wears V, Sphere seven, update two and the early access at the time of NVIDIA ai Enterprise. And, um, we have now gone to production with both of those products. And so customers, Um, like the University of Pisa are now using our production capabilities. And, um, whenever you virtualize in particular and in something like a I where performances is really important. Um, the first question that comes up is, uh doesn't work and And how quickly does it work Or or, you know, from an I t audience? A lot of times you get the How much did it slow down? And and and so we We've worked really closely from an NVIDIA software perspective and a bm wear perspective. And we really talk about in media enterprise with these fair seven as optimist, certified and supported. And the net of that is, we've been able to run the standard industry benchmarks for single node as well as multi note performance, with about maybe potentially a 2% degradation in performance, depending on the workload. Of course, it's very different, but but effectively being able to trade that performance for the accessibility, the ease of use, um, and even using things like we realise, automation for self service for the data scientists, Um and so that's kind of how we've been pulling it together for the market. >>Great stuff. Well, I got to ask you. I mean, people have that reaction of about the performance. I think you're being polite. Um, around how you said that shows the expectation. It's kind of sceptical, uh, and so I got to ask you, the impact of this is pretty significant. What is it now that customers can do that? They couldn't or couldn't feel they had before? Because if the expectations as well as it worked well, I mean, there's a fast means. It works, but like performance is always concerned. What's different now? What what's the bottom line impact on what country do now that they couldn't do before. >>So the bottom line impact is that AI is now accessible for the enterprise across there. Called their mainstream data centre, enterprises typically use consistent building blocks like the Dell VX rail products, right where they have to use servers that are common standard across the data centre. And now, with NVIDIA Enterprise and B M R V sphere, they're able to manage their AI in the same way that they're used to managing their data centre today. So there's no retraining. There's no separate clusters. There isn't like a shadow I t. So this really allows an enterprise to efficiently deploy um, and cost effectively Deploy it, uh, it without because there's no performance degradation without compromising what their their their data scientists and researchers are looking for. And then the flip side is for the data science and researcher, um, using some of the self service automation that I spoke about earlier, they're able to get a virtual machine today that maybe as a half a GPU as their models grow, they do more exploring. They might get a full GPU or or to GPS in a virtual machine. And their environment doesn't change because it's all connected to the back end storage. And so for the for the developer and the researcher, um, it makes it seamless. So it's really kind of a win for both Nike and for the user. And again, University of Pisa is doing some amazing things in terms of the workloads that they're doing, Um, and, uh and, uh, and are validating that performance. >>Weigh in on this. Share your opinion on or your reaction to that, What you can do now that you couldn't do before. Could you share your experience? >>Our experience is, uh, of course, if you if you go to your, uh, data scientists or researchers, the idea of, uh, sacrificing four months to flexibility at the beginning is not so well accepted. It's okay for, uh, for the Eid management, As John was saying, you have people that is know how to deal with the virtual infrastructure, so nothing changed for them. But at the end of the day, we were able to, uh, uh, test with our data. Scientists are researchers veteran The performance of us almost similar around really 95% of the performance for the internal developer developer to our work clothes. So we are not dealing with benchmarks. We have some, uh, work clothes that are internally developed and apply to healthcare music generator or some other strange project that we have inside and were able to show that the performance on the beautiful and their metal world were almost the same. We, the addition that individual world, you are much more flexible. You are able to reconfigure every finger very fast. You are able to design solution for your researcher, uh, in a more flexible way. An effective way we are. We were able to use the latest technologies from Dell Technologies and Vidia. You can imagine from the latest power edge the latest cuts from NVIDIA. The latest network cards from NVIDIA, like the blue Field to the latest, uh, switches to set up an infrastructure that at the end of the day is our winning platform for our that aside, >>a great collaboration. Congratulations. Exciting. Um, get the latest and greatest and and get the new benchmarks out their new playbooks. New best practises. I do have to ask you marriage, if you don't mind me asking why Look at virtualizing ai workloads. What's the motivation? Why did you look at virtualizing ai work clothes? >>Oh, for the sake of flexibility Because, you know, uh, in the latest couple of years, the ai resources are never enough. So we are. If you go after the bare metal, uh, installation, you are going into, uh, a world that is developing very fastly. But of course, you can afford all the bare metal, uh, infrastructure that your data scientists are asking for. So, uh, we decided to integrate our view. Dual infrastructure with AI, uh, resources in order to be able to, uh, use in different ways in a more flexible way. Of course. Uh, we have a We have a two parallels world. We still have a bare metal infrastructure. We are growing the bare metal infrastructure. But at the same time, we are growing our vehicle infrastructure because it's flexible, because we because our our stuff, people are happy about how the platform behaviour and they know how to deal them so they don't have to learn anything new. So it's a sort of comfort zone for everybody. >>I mean, no one ever got hurt virtualizing things that makes it makes things go better faster building on on that workloads. John, I gotta ask you, you're on the end video side. You You see this real up close than video? Why do people look at virtualizing ai workloads is the unification benefit. I mean, ai implies a lot of things, implies you have access to data. It implies that silos don't exist. I mean, that doesn't mean that's hard. I mean, is this real people actually looking at this? How is it working? >>Yeah. So? So again, um you know for all the benefits and activity today AI brings a I can be pretty complex, right? It's complex software to set up and to manage. And, um, within the day I enterprise, we're really focusing in on ensuring that it's easier for organisations to use. For example Um, you know, I mentioned you know, we we had introduced a virtual compute server bcs, um uh, two years ago and and that that has seen some some really interesting adoption. Some, uh, enterprise use cases. But what we found is that at the driver level, um, it still wasn't accessible for the majority of enterprises. And so what we've done is we've built upon that with NVIDIA Enterprise and we're bringing in pre built containers that remove some of the complexities. You know, AI has a lot of open source components and trying to ensure that all the open source dependencies are resolved so you can get the AI developers and researchers and data scientists. Actually doing their work can be complex. And so what we've done is we've brought these pre built containers that allow you to do everything from your initial data preparation data science, using things like video rapids, um, to do your training, using pytorch and tensorflow to optimise those models using tensor rt and then to deploy them using what we call in video Triton Server Inference in server. Really helping that ai loop become accessible, that ai workflow as something that an enterprise can manage as part of their common core infrastructure >>having the performance and the tools available? It's just a huge godsend people love. That only makes them more productive and again scales of existing stuff. Okay, great stuff. Great insight. I have to ask, What's next one's collaboration? This is one of those better together situations. It's working. Um, Mauricio, what's next for your collaboration with Dell VM Ware and video? >>We will not be for sure. We will not stop here. Uh, we are just starting working on new things, looking for new development, uh, looking for the next beast. Come, uh, you know, the digital world is something that is moving very fast. Uh, and we are We will not We will not stop here because because they, um the outcome of this work has been a very big for for our research group. And what John was saying This the fact that all the software stock for AI are simplified is something that has been, uh, accepted. Very well, of course you can imagine researching is developing new things. But for people that needs, uh, integrated workflow. The work that NVIDIA has done in the development of software package in developing containers, that gives the end user, uh, the capabilities of running their workloads is really something that some years ago it was unbelievable. Now, everything is really is really easy to manage. >>John mentioned open source, obviously a big part of this. What are you going to? Quick, Quick follow if you don't mind. Are you going to share your results so people can can look at this so they can have an easier path to AI? >>Oh, yes, of course. All the all the work, The work that is done at an ideal level from University of Visa is here to be shared. So we we as, uh, as much as we have time to write down we are. We are trying to find a way to share the results of the work that we're doing with our partner, Dell and NVIDIA. So for sure will be shared >>well, except we'll get that link in the comments, John, your thoughts. Final thoughts on the on the on the collaboration, uh, with the University of Pisa and Delvian, where in the video is is all go next? >>Sure. So So with University of Pisa, We're you know, we're absolutely, uh, you know, grateful to Morocco and his team for the work they're doing and the feedback they're sharing with us. Um, we're learning a lot from them in terms of things we can do better and things that we can add to the product. So that's a fantastic collaboration. Um, I believe that Mauricio has a session at the M World. So if you want to actually learn about some of the workloads, um, you know, they're doing, like, music generation. They're doing, you know, covid 19 research. They're doing deep, multi level, uh, deep learning training. So there's some really interesting work there, and so we want to continue that partnership. University of Pisa, um, again, across all four of us, uh, university, NVIDIA, Dell and VM Ware. And then on the tech side, you know, for our enterprise customers, um, you know, one of the things that we actually didn't speak much about was, um I mentioned that the product is optimised certified and supported, and I think that support cannot be understated. Right? So as enterprises start to move into these new areas, they want to know that they can pick up the phone and call in video or VM ware. Adele, and they're going to get support for these new workloads as they're running them. Um, we were also continuing, uh, you know, to to think about we spent a lot of time today on, like, the developer side of things and developing ai. But the flip side of that, of course, is that when those ai apps are available or ai enhanced apps, right, Pretty much every enterprise app today is adding a I capabilities all of our partners in the enterprise software space and so you can think of a beady eye enterprises having a runtime component so that as you deploy your applications into the data centre, they're going to be automatically take advantage of the GPS that you have there. And so we're seeing this, uh, future as you're talking about the collaboration going forward, where the standard data centre building block still maintains and is going to be something like a VX rail two U server. But instead of just being CPU storage and RAM, they're all going to go with CPU, GPU, storage and RAM. And that's going to be the norm. And every enterprise application is going to be infused with AI and be able to take advantage of GPS in that scenario. >>Great stuff, ai for the enterprise. This is a great QB conversation. Just the beginning. We'll be having more of these virtualizing ai workloads is real impacts data scientists impacts that compute the edge, all aspects of the new environment we're all living in. John. Great to see you, Maurizio here to meet you and all the way in Italy looking for the meeting in person and good luck in your session. I just got a note here on the session. It's at VM World. Uh, it's session 22 63 I believe, um And so if anyone's watching, Want to check that out? Um, love to hear more. Thanks for coming on. Appreciate it. >>Thanks for having us. Thanks to >>its acute conversation. I'm John for your host. Thanks for watching. We'll talk to you soon. Yeah,

>>Yes. >>Welcome to this cube conversation. I'm Lisa Martin, and I'm joined by two Cube alumni. Please welcome Tarazi, senior vice president and CEO, networking at Dell Technologies. Welcome back. And welcome to the Virtual >>Cube. Thank you. I'm excited about this. Thank you. >>We're gonna have a good conversation, because VJ Ramachandran is also here. VP of product management at VM Ware VJ Welcome back. >>Thank you, Lisa. And happy to be here again. >>So have a lot to unpack. We're on the cusp of the emerald 2021. You guys are making an announcement We want to talk about in the Emmy. Why? It's important will break down the announcement. Go ahead and start. Uh, we'll start with you. Envy me. Why is it important? What is it? All that good stuff? >>Yeah, this is excellent topic, and this is really an important component of infrastructure these days. Um, modern applications are changing how they consume infrastructure. That's because the workloads are evolving. Some of them are ai type machine learning workloads that need very high performance. There's also a continued to end by our customers to put work clothes in public cloud and on um and create a hybrid multi cloud model. Um, and also the new exciting stuff is all have to do with the edge applications and distributing applications everywhere with automation and connectivity to where they need to be operating with, you know, on premise. Uh, so long Storey short, These trends, these new applications, how the deployment models work is really diving the need for envy me becoming the key technology for getting your data and storage and with envy me of a fabric and connectivity is starting to become a very important topic. >>How do you have those discussions with customers in terms of their next steps, especially in the last year and a half will stay with you that we've seen such acceleration of digital transformation. What have those customer conversations? How have they changed? >>Uh, they the conversations have changed in two big ways. One, they really want to discuss outcomes. They know that we can bring, you know, industry leading infrastructure and tools and automation and software. But they really want to discuss outcomes, you know? How do you How do I automate my you know, operations? How do I get to unpack the value of my data? no matter what the data is eyes and where it's coming. So so that's the first big changes. People have shifted completely to outcomes. And the second change is that now there is a really good discussion about performance and sustainability. How do I make sure that I'm meeting my sustainability goals? I'm meeting my performance goals instead of just discussing one piece of the solution. >>Got a BJ wanna bring you into the conversation? Now talk to me about BME Front and its evolution from VM Ware's perspective and some of the changes that you've seen in the last dynamic 18 months in the market. >>Yeah, thanks. Thanks for being, You know, I think that we are living in interesting times now. What we're seeing from the standpoint is that applications are evolving rapidly, demanding more performance, local agencies, higher throughput. And these are modern applications and NBA me. What we're seeing is that NBN me as a protocol is becoming the de facto sort of connected with protocol police applications at the same time. What we're also seeing is that the infrastructure team at scale and then deploy these applications at scale They are moving towards a disaggregated architecture in the data centre, and all the employees are going towards this because they want to emulate, you know, the public club. And so you know what's exciting about this announcement and sort of the, you know, the you know, what we are delivering together the bell is that the combination of Indian P plus T c p I P provides in sort of brings both these worlds together. It provides performance and legacies that these new applications these these new modern applications need at the same time provides a way that is disaggregated. And so the combination of these two is You know, it's, uh, industries changing, in my opinion, and and we'll see that this will become sort of the the fact that we can deploy infrastructure in our data centres. And that's what we're seeing in December. >>Got it? Thank you. Let's go ahead and unpack that announcement. That VJ alluded to telling them or have announced an end to end envy. Any TCP ecosystem solution back over to you. You have talked to me about this. What is it? What are some of the core components and we'll get into >>benefits. Perfect. So So we both see envy any of D c P I p as this new future storage connectivity. And it is a pivotal moment for the industry. There's always been debate about what protocols you use for connecting storage for performance speed. But the time has come for envy any of the TCP IP to become the defect of future protocol. Uh, what we're announcing is, first of all, we're announcing a new, uh, software product called S S s from Dell. And that software product will automate the discovery provisioning and automate the setup of all the storage networking How you connect all the hosts to the storage targets in a fully automated way. This is something that has been very complex, very hard to do manually in a one by one. So that's a whole new software product. Number two announcing the availability of envy me over TCP I pee on our key Dell products, which is power store power edge, which is our server product, and also power switch, which is our networking product. So the combination of the new software tool S. S s and all the availability of envy. Emile, that TCP ip on our compute storage and networking that gives customers the ecosystem to be able to use it along with the capabilities that are essential for it. >>Yeah, And DJ head was going to add to what you have just said. You know, of course, being there is fully committed to bringing this, uh, option of NBA me, You know, along with the partnership, Del, um you know, to the market and has been our partnership has been instrumental in bringing this to the market. Now, you know, the cool thing about this particular announcement and, you know, and what to bring to the market is that the smart fabric, uh, services manager is actually built into the centre. So, you know, from the understand point of this fear administrator being the administrator can so stay with them. They're the centre, um, you know, console and be able to manage provision, manage and monitor, Um, you know, in the in your fabric, uh, me or the PCP, uh, connexions. And so it's sort of bridges the gap between storage and, uh, world with you will >>and also the V sphere. The launch of, uh, envy any of the TCP I p and V. Sphere seven you see is the last component of this announcement between putting S S s inside the Centre V sphere enhancements and the Dell products. The end result is the customers get this bump and new capability. However, they can continue to use all the management tools that they have today. So this is an easy automated lift and they get this new capability >>an easy automated lift. Though that sounds like magic to I'm sure a lot of folks ears sticking with you talk to me about this is a new direction for Dell and talk to me a little bit about that and the impact. >>I think the new direction is that we have supported multiple protocols for connectivity fibre channel R d m A. But I think now, as we go to this next evolution and the fact that the world is going to multi cloud and edge and distribution, the new direction here is we're putting a lot of investment and energy, both of us into making envy me over TCP IP automated and high performance. As VJ said, we've been collaborating for over two years on this project jointly that included new standards, new innovation, new software capabilities, new divers on all our products. So although we make it sounds simple. This is a company wide on both sides. Innovation effort to make this possible. >>Absolutely a big innovation effort. DJ, Go >>ahead. And I was gonna say, you know, just to second what we have said, we work as one team you know, begin to companies. But we work as one team and really brought some innovative features and functionality out of the market and, you know, too excited to see this come to fruition. We're working on it for two years now. >>So two years before the pandemic started, I'm curious to get both of your perspectives on how the tunnels of the economy and the market of the last 18 months have influenced. We've seen so much acceleration in digital. How has this interesting time affected or accelerated what you're announcing? Or has it? >>I will start on V say, you know, whatever you'd like to add is that I think what we have seen during the pandemic is acceleration of adopting of a cloud operating model by using more of public cloud but also using automation that we have built into our products, both vm ware and L. And so this kind of automated type software tools falls completely in line with that. You know, customers more and more want the infrastructure automated and they wanted cloud light with as a service, usage based type models. And we're both invested into that area. >>Yeah, And you know, Lisa, if anything at all in the last, uh, two years since the Pandemic, what we're what we're refining is that it's no longer a decision between on Prem or Public Club, But it's actually and and decision, you know, it's on from and public clothes is truly becoming a multicultural world. And so to make this multi cloud, and then customers deploy the right applications and write workload in the right place, depending on the needs. And so, in this multiple world, having this automation and having a consistent way too, uh, to manage infrastructure, uh, in an automated fashion across these multi coloured deployments is becoming key. And so this is a key component of that. What we did, what pronouncing is a key component of that kind of a model, that customers are moving to >>it. Let's talk about the customer benefits you both mentioned performance sustainability, low latency, high throughput. Give me examples of each of those of how this technology will deliver that for customers across industries. >>This is where we've really enjoyed working together and with VJ and his team did fantastic work to test the value of having this partnership is the end to end. Customer sees the performance and benefit from the eyes of using both the software stack from Dell and VM Ware as well as the infrastructure below it. And we've been able to jointly test what the customer will see and what we have seen, which I have to say was a surprise to us. We expected benefits, but even it was one of those Aha moment. Oh my God, this is We thought it was good, but it turned out to be even better. So on the performance side, it's about 2.5 to 3 times the performance of ice crazy, which is the other technology we would compare this to on the Latin Seaside is 70% less latency and uses even less capacity in terms of CPU. We have not seen that kind of performance improvement from a protocol for a very long time. Changing networking protocols usually gives you some little benefit, but not this kind of a step functional performance. So I think the customers will be very excited about this. >>These are some numbers, PJ go ahead and extend onto that. >>No, I You know, I have nothing more to add because, you know, we having extremely encouraged by the performance numbers that you know, that we saw and, you know, and and and here, this red we actually exceeded expected our expectations, right? And if you, the enemy, was the was the right way to sort of, you know, delivered performance. But, uh, you know, to see this kind of results in real world as, uh is very encouraging. >>You guys said there are several sessions at BM world that are covering this topic. I'd like to get both of your perspectives on some of the sessions that you're presenting in and some of the key takeaways that the audience can learn. I have. We'll start with you. >>Yeah. I mean, we're starting with a session to explain the overall strategy, and we're gonna show demos. Exactly how would you use VM Ware software and L s F s s to configure Implement. How does that compare to the customer experience today? That's going to be an exciting session between myself and Paul Turner, who is the VP of product. Also at the end, where I think that that kind of with these visual demos, people will see how fast automated that is, which is really the message here. Then we have multiple sessions from our key technical experts. We're gonna go through a deep technology review of the stack and how to do it. And the functionality. >>Yeah, and Lisa on on the other side of obviously you have a number of sessions on various topics. Uh, on storage. The one that I want to call out is there's a session that I'm doing with Mark flashing who's a city or for storage and for club platform. Really. And we are discussing VMS vision and strategy for storage and availability, and NBA me is certainly a key part of that. But as we just talked earlier, the whole automation and the multiplayer aspect of, uh of the parameters it's critical. So you know. So we're sharing what? How we are approaching this whole multiple world. Um, in this, you know, with storeys and availability innovation. So I'm really excited about that. >>So a lot of news coming out on the nbn me over TCP ip front talked about the collaboration acceleration of that, the directional shift in terms of go to market and availability. When where can existing customers go to learn more information? What's the joint gtm that Del. And then we have, >>uh I think you wanna start on V sphere and I'll add or >>Okay, >>so all the products we talked about today from V sphere seven dot you the power store power edge All of them will be available starting immediately after VM World And between October and November, everything we talked about will be available And during the, um, world, we will announce how customers can use it downloaded by it. As we said before, because they are a s s s is implemented into the centre. This will be a familiar way for customers to use it downloaded and implemented, and a new lease of these fears something customers are used to. We have many customers on power store, so they will be getting a new software at least an update with the new functionality. We we do plan to care developer experience, modules, sandboxes for people to play with will make more announcements on that in the future. >>Yeah, And this, You know, as you have said, this functionality is built into, you know, the spear and recenter as well. And so the next really next release of the sphere will have this functionality. And you'll see a lot of noise about this at the world. That sort of our coming out party. Mm. >>Excellent. Well, it sounds like it's going to be a good coming out party with a lot of information to come around. The emerald timeframe, some great education and deep technical dive is that you guys and your teams will be providing to customers in all industries, which I'm sure they will be very much appreciative of. I appreciate both of you coming on sharing with me the news. What's exciting about this? The impact that's going to make and we look forward to hearing some of the news as it gets rolled out. >>Thank you. >>Thank you so much. >>Lisa. Thank >>you. Great to have you guys for Ihab Tarazi and VJ Ramachandran. I'm Lisa Martin. You're watching a cube >>conversation? Mm.

>>from around the globe. It's the Cube with digital coverage of Dell Technologies. World Digital Experience Brought to You by Dell Technologies Everyone welcome back to the cubes Coverage of Dell Technologies World Digital Experience I'm John for your host of the Cube Cube. Virtual. We're not in person this year were remote We're doing The interviews were not face to face. So thanks for watching two great guests to talk about the Dell Technology Storage and data protection for the VM Ware environments got Caitlin Gordon, vice President, product management, Dale Technologies and Leak as well. Vice president of Cloud Platform Business Unit, also known as CPB. You for VM where Lee and Cable in Great to see you both. Thanks for coming on. >>Thanks for having me >>s So what? What a crazy year. We're not in person. Usually the the events Awesome. VM world recently went on and then you guys have the same situation role online now and it's >>really kind >>of highlighted the customer environments of cloud needed. But I've been saying this on all my reports and all the Cube interviews that the executives who are in charge and now saying, Look at our modern APS have to be cloud native because the obvious benefits are there and container ization has become mainstream. But yet I d c still forecast about 15% of enterprises are still fully containing rise, with a huge amount of growth coming around the corner. So you're seeing this mature market where containers are validated, they're being put into production. People are now moving hard core with containers. And you have the kubernetes. I gotta ask you, Li, I'm Caitlin. What does this mean for the customers? Are they getting harder pressure points to do things faster? What does it all mean for the customer? >>Yeah, I'll start. Only you can add to it. I mean, I think what we see is the trends that were already happening of now. Accelerated and modern APs were kind of the top of the priority list, but now it has is really expedited. But at the same time, traditional applications haven't gone anywhere. So there's this dichotomy that a lot of I t is dealing with of head Oh, accelerate those modern APs while also streamlining and simplifying my environment for my traditional laps. And not only do I need to the right infrastructure to have that for production workloads, modern, traditional, but also form a data protection standpoint. How to ensure that those are all secure and do all of that in a way that simplifies life for whether it's the data protection admin, the BM admin or even the developer right, all of the different folks involved and needing to make all of their lives simpler has just really exacerbated a challenge and really given us a lot of opportunity to try to solve that for customers together. >>Lee, What's your take on the landscape out there? >>Yeah, I'd emphasized that speed really matters today, right? That we're really looking at. How do you go and deploy new applications faster, right? New ways to get engaged with customers. I mean, it's not happening physically anymore. So how is it happening while it's happening largely through applications? And so as you now basically develop new applications more quickly, containers are a way to speed the pace of applications, and the theme that you know we continue to drive home is that that means infrastructure has to respond more quickly, and it means that for the teams that are managing infrastructure, it really helps if you have a consistent model where you can get mawr done with the same teams and leverage all the experience you have, as well as the security and infrastructure resiliency model that we're bringing together to our customers. >>This brings up the real question, and if this comes up, kind of you see more of the executive level like we need to have a modern application direction. They'll go. Everyone goes, Yeah, of course. Thumbs up. Then they go Try to make that a reality because even though Dev ops and Infrastructures Code is still the viable path, it's hard. It's like Caitlin, we're talking about EJ to core Data center hybrid the multi cloud. There's a lot going on under the hood there. So you guys are doing a lot of stuff together. VM Ware and Dell Technologies. What's the solution for customers? They gotta move faster. As lead pointed out, Caitlin, how are you guys working together to make that infrastructure more modern, faster, programmable and reliable, >>and make it simpler for the customers right? I think it really comes down to one of the most powerful things about the partnership is that from the dull technology standpoint, we have really a plethora of different solutions to support your VM or environment. Whether it's a three tier architecture with Power Edge power store or leveraging the X rail. Or very commonly, it's gonna be both of those. You have the right infrastructure to support the production workloads and have a consistent operating model between them leveraging devils and primary storage side and all the integrations we have with the ex rail. And then we have with power, protect data manager Great integrations in some recent enhancements that make that even better and are now able to protect Tan Xue, protect the VCF management domain and not only have the storage, but also the protection for that environment. But do it in a way that supports what the V A madman needs and also gives that consistent protection, consistent storage, consistent operating model for the rest of I T. And at the same time you're enabling the developers to move faster. >>Lee, You guys have been doing a lot of joint development, and we've been covering a lot of the news VM world. Ah, lot of joint engineering, a lot of joint integrations. You guys have been collaborating with Dell Technologies for a long time. Also, the relationship. Where is that Today? Can you expand on that a little bit and take a minute to explain the joint >>collaboration? I'll start with the fact that you know, good marketing is really easy when you have great engineering. And so the work that we're doing together, like between our companies. Now we have a lot to talk about, right? E mean the work scaling mentioned right around Devil's integration, for example, on power Max right on da npower store, right? I mean, you start looking at the integration work that we're doing together. It means that customers are getting the benefits of the joint integration work and testing right that comes and so you're guaranteed out of the box toe work. Also, you know, don't forget that contain owners and all of the things we're doing around containers. It's basically designed thio accommodate the fact that containers air spun up more quickly or destroyed more quickly, their shared across the hybrid cloud more frequently and without an inherent security model and built in data protection. It's really hard to go and see how you can deploy these with the enterprise resilience that's demanded at enterprise scale. And so that's what we're doing together, right? And, you know, we build great software, Uh, but without great hardware partnerships, it's one hand clapping, right. It's about getting our teams together, right? That really makes it sing at the customer level. >>You know, I think that's a really example of the business. Performance results have come in Vienna, where you guys were doing a great job. Go way back to the years ago when Pat and Raghu we're talking with from Amazon and all. Since then, it's been joint development, join integrations, and that's a great business model for you. And so, Caitlyn, I wanna get back to you. Because at VMRO we covered Project Monterey, the new initiative for the anywhere but a year before they had Project Pacific that came toe life with product results. Tan Xue specifically, you guys have the power protect data manager that we talked about in the summer, but now for Tan Xue supported and Tan Xue environments that super relevant, can you share any updates on your end on the power protect Data Manager and Tan Xue? >>Yeah, I li I couldn't agree more that great engineering mix our jobs a lot more fun and a whole lot easier. So we've been really lucky. And the partnership we've had has really never been stronger. So yeah, but the most recent release of power protect Data Manager introduces the support for that tan xue protection. It also introduces really important things like storage, storage based policy management. So in in biosphere, when you set up a storage policy, you have data protection as part of that and you have the integration with power protect data Manager. So you're able to automatically protect new VM that are created by that storage policy of being applied. >>But >>at the same time, it's also being tracked in power. Protect Data Manager. So you have that consistency across enabling your vitamins and enabling your data protection your i t. Team. To keep track of that, we also have ah tech preview that we did at VM World about how we're working as from Dell technology standpoint to innovate around. How do you protect some of these VMS that are so large and so mission critical that you need to be able to protect them in a new and innovative way that doesn't disrupt the business. And we did a tech preview of that, and it's something you'll hear more about from us, too. But it's PM traditionally would be in this category of unprotected ble because of the impact it could have on the environment and how we're really looking to do that in a more efficient and intelligent way. So we can actually protect those be EMS. And there's there's really a whole lot more. When you talk about objects, scale and everything else that we've done, it's really exciting. And you don't think Lee and I have ever talked as much as we do now. Ah, and it's been a lot of a lot of fun. >>It's been great following both of you guys on the keep interviews over the years. The success in the vision We had early conversations about what the plans where it's kind of all playing out. So I want to congratulate both of you of VM Ware Adele Technology. So good job going forward. The collaboration. I want to get to that in a second, you'll into it. But Caitlin Lee, I want to get your thoughts because one of the big themes this year besides covert and all the issues that that's highlighting. But in the cloud world, automation has been the number one conversation we've been hearing, and with that you got machine learning all the tech around that as you abstract away. The complexity of the infrastructure to make the modern APS automation has been great. The business cross connect is everything is a service we're seeing. This is the big wave coming. Could you guys share your vision on how all this stuff you mentioned V balls and all objects scale all these things? There's a >>lot of >>plumbing underneath and a lot of tooling, a lot of part piece parts. If that gets programmable, >>automation >>kicks in, which then enables everything is the service because you guys both share your vision of what that means in terms of what's going to change and what would it impact the customer? >>Yeah, and it's very relevant for this week, right? Dell Technologies world. That's a big part of what we've announced this week in our commitment to really bringing our portfolio as a service, and it's really interesting, especially for folks like Lee and I, who have been doing kind of mawr product marking and talking about speeds and feeds and thinking about how you make the product life simpler. And how do you automate that? Have the intelligence built in things like Biaro have been such an important part of that, especially with power store coming to market. But if you think about where that leads us, actually changes everything, which is when you have everything as a service and we're really delivering outcomes to our customers and no longer products. That automation is actually just a important and maybe even more important. But it's not the end user that cares about it directly is actually us, because as Dell Technologies, we become the ones managing that infrastructure, owning that infrastructure and the more automation we can bring in, the more intelligence we can build them for ourselves. The more insights we can give to our customers, the better that service can become. And it's really a flip from how we've always been thinking about and really rolling out automation. It's not actually about enabling our end users to do anything. It's actually about enabling them to not worry about any of it, but enable our own organization to support their outcomes better. So it really changes everything. >>Lee, what's your thoughts on this? Everything you've got, V Sphere V Center. You've got all the storage you got all the back up. All this stuff has to be automated. Makes sense. But as a service, how does that impact your world? >>You know, it really does. When you think about the VMRO Cloud Foundation, right, which is the integration of all of our V sphere with Visa. And with these, you know, our NSX products that will be realized. Management suite. Tom Zoo now, right, All of this pulled together. One of things that's interesting is when you go to the public cloud, we have some experience now where we always deliver that full stack together. And what that does is it frees up customers. Thio, go on, focus on the applications, I think and stop looking down the infrastructure. Start looking up at the APS. And so we're offering and bringing that same level of experience to the on premises data centers. And now bridging that across the hybrid cloud that all of a sudden gives you this sense that Hey, I'm future ready. No, matter where I am today. If I'm thinking about the hybrid cloud, I could go on move there, right. And with our partnership with Dell Technologies, there's such a great opportunity to bridge that uniquely, by the way across all of my on premises infrastructure, including common policy based management, back into storage through RV Valls efforts, right and then back in through objects scale right into objects based, uh, applications and through our DP efforts to data protection efforts, then back into, like, date full data protection. And so what you get now is we're helping customers realize that I got this. I could take new Cooper navies orchestrated applications and I could make them work and do it with the same operational model that I have today. Start spending more time on the applications, less time, basically configuring and managing underlying infrastructure. >>Caitlin you mentioned that earlier at the top of the segment, ease of use, making it easier, simpler, great stuff on the on on the future. Lee, I gotta ask you about Project Monterey. We did a lot of coverage on VM World on silicon angle in the Cube. I love how this comes out. It's always, You know, the brain trust that VM Ware lays out the future, they fill it in throughout the year, expect to see some meat on the bone there. But what is that gonna do from for new capabilities and how with Dell Technologies? Because, um, it's end to end, right this Michael Dell and I talked, I think, two years ago, a Dell Tech world. And then last year, he hit the point home hard and to end with Dell Technologies. It kind of feels like it's gonna be a good fit. Could you share how that Monterey project fits in with Dell Technologies? >>Yeah. We're so pleased to be showing this together with Dell Technologies at the VM World to showcase this new idea that you could basically go on, start offloading CPUs and using smart knicks as a way to basically now provide, um or let's call it a, You know, a architecture that allows you to, uh, be responsive to new application needs. So let me talk a little bit about that. So when we opened up Tansu, right, we got this complete inflow pouring of new container base kubernetes orchestrated APS. So what? We found was, Hey, they're driving a lot of CPU needs their driving a lot of scale out security needs for things like distributed firewalls. And so we started looking at this, and what's clear is we need to basically use the CPU very judiciously, So it's basically reserved for the APS. And so what we're doing now is we're basically saying there's an opportunity for us to go in, offload the CPU for things that look more like infrastructure, including S X, I and other things. And at the same time, then we could go and work together with Dell Technologies to be the deployment vehicle. And so, just like Project Pacific, which was going broad, if you will, this project moderate, which is going deep like the canyon, John not far from here, um is, you know, a source of all new discovery right where we'll be working together and over time, just like the Project Pacific name faded to black and became product Tan Xue vcf with Tom juvie sphere. With Hangzhou, we'll see that Project Monterey will evolve into new products coming together with Dell Technologies. >>Caitlin, can you elaborate on Take a min, explain the product how this renders into products because I can also imagine just the benefits just from a security standpoint. Efficiency. If the platform, um, there's a range of things, could you take a minute to >>explain the >>impact on products? >>Yeah, I think you'll hear a lot more about it, but we're obviously excited to be partners on this is Well, and I think it's It's just another example of the more intelligent the infrastructure can become than the rest of the entire I T organization can run more efficiently and that that can come in the form of the A. I built into power, Max, that can come in the form of the evils that we have both in Power Max and Power Store that can come in the form of even just the fact that we have now built a fully containerized S three compatible objects or platform called objects scale which we have no in early access. Um, that can run on the V sand data persistence platform, and it just gives you the ability to leverage this all of the right technology. And we can continue to really partner on that. I think Project Monterey really opens up even more opportunities to do that, and you'll certainly hear more from us on that in the future. >>I >>mean, you got compression, you got encryption. A lot of benefits across the board. Great to have you guys both on and your graduation. The great event. Final question for both of you, talk about this has been a crazy year. We're not face to face, so everything will be online. What should customers and partners and people watching know about the relationship between VM Ware and Dell Technologies this year? What's the big message to take away? What should people walk away with and and think about? >>I think it's It's never been stronger than ever, uh, than it's been than it is right now. We have never had >>more >>breath and more depth of integration. I think that the partnership on the engineering level, on the product management level on the marketing level, we have really never been in a better place. And you know what? What? My team is really enjoyed with VM world season and you're coming up on Deltek. World season is we've really enjoyed the fact that we've had so much richness >>of >>that integration to talk >>about, and >>we also know there's even more coming. So I, you know, from from my standpoint, if we really feel it and probably the best and most rewarding time we hear about that, is when we bring new things into market, we hear that back. And when Power Store came into the market and over the past few right kind of first months in market, one of the most resounding feedback that has come out as one of the most differentiated parts is that it? It's so incredibly integrated with VM ware. But we've even gotten questions from analysts asking, you know, did you purposely make it feel like you are really working similarly to a B M or environment? And you know what? That just shows how closely we have been working as organizations is that it comes a very seamless experience for our customers. >>Lee Final Word. >>What >>should people walk away with this year on the relationship between Be and we're in Dell Technologies? >>Well, I think the best partnerships right are ones that are customer driven. And what you're finding here is customers. They're actually encouraging us, right? We're doing a lot of three way meetings now, right where customers like, Hey, tell me how you're going to go involved this. How do I How do I basically modernized right and preserve my existing investment, perhaps Or, you know, update here, Or how do I grow like customers have really complex individual situations. And what you confined right is that we're helping jointly not, you know, just simply with the engineering side, which is awesome, but also with the idea that we're helping customers go on deploy responsibly in a time where it's very difficult to plan. And so if you come to us, we can help you jointly plan for the future in uncertain times and make sure that you're gonna be successful. And that's just a great feeling when you're a customer looking at, How do you deploy going forward in this? You know, with the amount of pace of change that we've got, >>I want to congratulate. Both of you have been following you guys. Success has been proven out on the business results and also the products and the enablement that you guys are providing customers been great. Thanks for coming on. Great to see both of you have a great event. Thanks for. Come on. >>Thank you. It's a pleasure. >>Okay, I'm John for your here with the Cube. Covering Del Technology Worlds Digital experience 2020 The Cube Virtual. >>Thanks for watching.

>>from around the globe. It's the Cube with digital coverage of VM World 2020 brought to you by VM Ware and its ecosystem partners. Welcome back, I'm still minimum and this is the Cubes coverage of VM World 2020 our 11th year doing the Cube. First year. We're doing it, of course, virtually globally. Happy to welcome back to the program. One of our Cube alumni, Shannon Champion, and she is the director of product marketing with Dell Technologies. Cannon. Nice to see you and thanks so much for joining us. >>Thanks for having me. Good to see you as well. >>Alright, So big thing, of course, at VM World, talking about building off of what was Project Pacific at last year's show? Talking about how kubernetes all the wonderful cloud native pieces go in. So let's let's talk about application modernization. Shannon, you know, with a theme I've talked about for a number of years, is you know, we need to modernize the platform, and then we can modernize the applications on top of those. So tell us what you're hearing from your customers and how Delon Vm Ware then are bringing the solutions to help customers really along that journey. >>Yeah, I'd love Thio. It's fun stuff. So, um, enterprises are telling us that especially now more than ever, they're really looking for how they must digitally transform. And they need to do that so they can drive innovation and get a competitive advantage on one way. That they're able to do that is by finding ways to flexibly and rapidly move work loads to where they make sense, whether that's on premises or in the public cloud. And the new standard for doing this is becoming cloud native applications. There was a recent I. D. C. Future Escape that predicted that by 2025 2 3rd of enterprises will be prolific software producers with code being deployed on a daily basis, and over 90% of applications at that time will be delivered with cognitive approaches. So it's just kind of crazy to think, and what's really impressive to is that the sheer volume of applications that are anticipated to be produced with these cloud native approaches Ah, it's expected to be over 500 million new APS created with club approaches by 2024 just kind of putting that into perspective 500 million. APS is the same number that's been created over the last 40 years. So it's a fun, fun trend to be part of. >>Yeah, it's really amazing. When I talked to customers, there's some It's like, Oh, let me show you how Maney APs I've done and created in the last 18 months. It was like, Great. How does that compare before? And they're like, we weren't creating APS. We were buying APS. We were buying software. We have outsourced some of those pieces. So you know that that that trend we've been talking about for a number of years is kind of everyone's a software company, Um, does not mean that, you know, we're getting rid of the old business models. But Shannon, there are challenges there either expanding and moving faster or, you know, making sure that I have the talent in house. So bring us inside. What if some of the big things that your customers were telling you, maybe that's holding them back from unlocking that potential? >>Yeah, totally. You hit on a couple of them, you know, we're definitely seeing a lot of interest in adoption of kubernetes and clearly vm Ware is leading the way with Changzhou. But we're also hearing that they're underestimating the challenges on how toe quote unquote get to kubernetes. Right? How do you stand up that full cloud native staff and particularly at scale Thio? How do you manage the ongoing operations and maintain that infrastructure? How do you support the various stakeholders? How do you bring I t operators and developers together? Eso There's really a wide range of challenges that, um businesses air facing. And the other thing is that you hit on, you know, they're gonna be producing Mawr and Mawr cloud native applications, but they still need to maintain legacy applications, many of which are driving business critical applications and workloads. So they're going to need to look for solutions that help them manage both and allow them to re factor or retire those legacy ones at their own pace so they can maintain business continuity. >>Yeah, and of course, Shannon, we know as infrastructure people, our job was always toe, you know, give the environment to allow the applications to run in virtualization. For years, it was Well, I knew if I virtualized something, I could leave it there, and it wasn't going to it didn't have to worry about the underlying hardware changes. Help us understand How does kubernetes fit into this environment? Because, as I said that people don't want to even worry about it. And the infrastructure people now need to be able to change, expand and, you know, respond to the business so much faster than we might have in times past. >>Yeah, So from an infrastructure perspective, working with VM ware based on tons of really the essence of that is to bring I t operators and developers together. The infrastructure has a common set of management that, you know, each the developer and the I t operators can work in the language there most familiar with. And, you know, the communication of the translation all happens within Tan Xue so that they're more speaking the same, um, language when it comes Thio, you know, managing the infrastructure in particular with VM ware tansy on VX rail. We are delivering kind of a range of infrastructure options because we know people are still trying to figure out you know, where they are in their kubernetes readiness. Have, um, some people have really developed mature capabilities in house for who were Netease for software defined networking. And for those customers, they still may want Thio. You know, use a reference architecture er and build on top of the ex rail for, you know, a custom cloud native specific application. What we're finding is more and more customers, though, don't have that level of kubernetes expertise, especially at scale. And so VM ware v sphere with Tan Xue on VX rail as well as via more cloud foundation on VX rail are ways Thio get a fast start on kubernetes with directly on these fair or kind of go with the full Monty of B M or Cloud Foundation on BX rail. >>Well, we're bringing up VX rail. Of course. The whole wave of h C I was How do we enable simplicity? We don't wanna have to think about these. We wanna, uh, just make it so that customers can just buy a solution. Of course. VX rail joint solution, you know, heavily partnership with VM ware. So, Shannon, there's a few options. VM has been moving very fast. Expand out that the into portfolio, uh, back at the beginning of the year when the Sphere seven came out. You needed the BMR Cloud Foundation. Which, of course, what was an option for for for the VX rail. So help us understand you laid out a little bit some of those options there. But what should I know as Adele customer, Uh, you know what my options are? How the fault hands a sweet fits into it. >>Yeah, eso we like to call it kubernetes your way with the ex rail. So we have a range of options to fit your operational or kubernetes scale requirements or your level of expertise. So the three options, our first for customers that are looking for that tested, validated multi configuration reference architectures er that will deliver platform as a service or containers is a service. We've got tons of architecture for VX rail, which is a new name for what was known as pivot already architecture er and then for customers that may have minimum scaling requirements, they may have some of that expertise in house to manage at scale. The fastest path to get started with kubernetes is the new VM ware V sphere with Changzhou on VX rail. And then last I mentioned kind of that full highly automated turnkey on promises. Cloud platform. That's the VM, or Cloud Foundation, on VX rail, which is also known as Dell Technologies Cloud Platform. And that option supports Tan Xue with software defined networking and security built in with that automated lifecycle management across the full stack. So there's really three paths to it, from a reference architecture approach to a fast path on the actual clusters all the way to the full Deltek Cloud platform. And Dell Technologies is the first and only really offering this breath of Tanya infrastructure deployment options. Eso customers can really choose the best path for them. >>Yeah, so, Shannon, if if I If I think back to what we saw in the keynote, you know, VM Ware lays out there, they're hybrid and multi cloud solution. So of course they're they're public cloud the VM ware cloud on a W s. They have that solution. They have extended extended partnerships. Now, with azure uh, the the the offering with Oracle that's coming. And I guess I could think to just think of the Delta cloud on VX rail as just one of those other clouds in that hybrid and multi cloud solutions do I have that right? Same stack. Same management. If I'm if I'm living in that VM world world. >>Yeah. So the Deltek Cloud platform is an on premises hybrid cloud. So, you know, ah, lot of customers were looking to reduce complexity really quickly especially, you know, with some of the work from home initiatives that were sprung upon us and trying to pivot to respond to that. And, um, you know the answer toe solving some of that complexity is to jump into public cloud. What we found is a lot of customers actually are driving a hybrid cloud strategy and approach. And we know many customers sort of have that executive mandate. There's value in, um, driving that, um on Prem hybrid cloud approach. And that's what Dell Technologies Cloud platform is. So you get the consistent operations in the consistent infrastructure and more of the public cloud like consumption experience while having the infrastructure on Prem for security data locality There, um, you know, cost reasons like that eso That's really where VM or Cloud Foundation on VF drill comes into play eso leveraging the VM ware technologies you have on Prem hybrid cloud. It can connect all those public cloud providers that you talked about. So you have, you know, core to cloud on day one of the new capabilities that VM or Cloud Foundation is announced support for is remote clusters. So that takes us kind of from cloud all the way toe edge because you now have the same VCF operational capabilities and operational efficiency with centralized management for remote locations. >>Wonderful. I'm glad you brought up the edge piece. Of course, you talk to the emerging space vm ware talking about ai talking about EJ. So help us understand. How much is it? The similar operational model is it even? Is that part of the VX rail family? What's the What's the state of the state in 2020 when it comes to how edge fits into that cloud core edge discussion that you just, uh, raised? >>Yeah. When you look at trends, especially for hyper converged edge and cloud native are kind of taking up a lot of the airwaves right now. Eso hyper converge is gonna play a big role in Theodore option of both cloud native Band Edge. And I think the intersection of those two comes into play with things like the remote cluster support for VM or Cloud Foundation on VX rail where you can run cloud, you know, cloud native based modern applications with thons Ooh, alongside traditional workloads at the edge, which traditionally have more stringent requirements. Less resource is maybe they need a more hardened environment, power and cooling, you know, um, constraints. So with VCF on Vieques, well, you have all the operational goodness that comes from the partnership in the levels of integration that we have with VM Ware. And customers can sort of realize that promise of full workload management mobility in a true hybrid cloud environment. >>Shannon, when I'm wondering what general feedback you're getting from your customers is as they look at a zoo, said these cloud native solutions and you know what's what's the big take away? Is this a continuation of the HD I wave that you've seen? Do they just pull this into their hybrid environments? Um, I'm wondering if you have any either any specific examples that you've been anonymized or just the general gestalt that you're getting from your customers. Is that how they're doing expanding, uh, into these, you know, new environments that kind of stretch them in different ways. >>Yeah, it's interesting because you know, there's there's customers that run the gamut when we look at those that are sort of the farther down their digital transformation journey. Those are the ones that were already planning for cloud native applications or had some in development. Uh, there's also some trends that we're seeing based on, you know, the the size of cluster deployments and the range of, you know, various configurations that are an indicator of those customers that are more modernized in terms of their approach to cloud native. And what we find from those customers, especially over the last six months, is that they're more prepared to respond to the unknown on bond. That was a big lesson for some of the other customers that you know, had new. The digital transformation was the way of the future, but hadn't yet sort of come up with a strategy on how to get there themselves were finding those customers are inhibiting their investments to areas that can help them be more ready for the unknown in the future. In Cloud Native is top of that list. >>Absolutely Shannon Day Volante shown a few times. There's the people in the office, you know, with their white board doing everything. And there's the wrecking ball of covert 19. Kind of like Well, if you weren't ready and you weren't already down this path, you better move fast. Wonderful. All right, Shannon. So we know, uh, from past years, you know, VX rail. Usually it's all over the show. So in the digital world, what do you want? He takeaways. What are some of the key? You know, hands on demos, sessions that that people should check out. >>Thank you. Yeah. So hopefully your take away is that the exhale is a great infrastructure to support modern applications. First and foremost, we have, you know, a jointly engineered system built with VM ware, four VM ware environments to enhance fam. Where, and we do that with our the extra LHC I system software, which I didn't give a shout out to yet, which extends that native capabilities and really is the secret behind how we do seamless automated operational experience with the ex rail. And that's the case, whether it's traditional or modern applications. So that's my little commercial for VX rail at the show please tune into our VM World session on this topic. We also have hands on labs. We are launching a fun augmented reality game. Eso Please check that out on. We have a new Web page as well that you get access to all the latest assets and guides that help you, you know, navigate your journey for cloud native. And that's at dell technologies dot com slash Hangzhou. >>Wonderful. Well, Shannon Champion, thanks so much. Great to see you again. And be short. Uh, we look forward to hearing more in the future. >>Thanks to >>stay with us. Lots more coverage from VM World 2020. I'm stew. Minimum is always thank you for watching the Cube.

>> (soft upbeat music) >> Announcer: From around the globe, it's the cube with digital coverage of Ansible Fest 2020, brought to you by RedHat. >> Hello, welcome to the cubes coverage of Ansible Fest 2020. We're not in person, we're virtual. I'm John Furrier , your host of theCube. We've got a great power panel here of RedHat engineers. We have Brad Thorton, Senior Principle Software Engineer for Ansible networking. Adam Miller, Senior Principle Software Engineer for Security and Jill Rouleau, who's the Senior Software Engineer for Ansible Cloud. Thanks for joining me today. Appreciate it. Thanks for coming on. >> Thanks. >> Good to be here. >> We're not in person this year because of COVID, a lot going on but still a lot of great news coming out of Ansible Fest this year. Last year, you guys launched a lot since last year. It's been awesome. Launched the new platform. The automation platform, grown the collections, certified collections community from five supported platforms to over 50, launched a lot of automation services catalog. Brad let's start with you. Why are customers successful with Ansible in networking? >> Why are customers successful with Ansible in networking? Well, let's take a step back to a bit of classic network engineering, right? Lots of CLI interaction with the terminal, a real opportunity for human error there. Managing thousands of devices from the CLI becomes very difficult. I think one of the reasons why Ansible has done well in the networking space and why a lot of network engineers find it very easy to use is because you can still see an attack at the CLI. But what we have the ability to do is pull information from the same COI that you were using manually, and showed that as structured data and then let you return that structured data and push it back to the configuration. So what you get when you're using Ansible is a way to programmatically interface and do configuration management across your entire fleet. It brings consistency and stability, and speed really to network configuration management. >> You know, one of the big hottest areas is, you know, I always ask the folks in the cloud what's next after cloud and pretty much unanimously it's edge, and edge is super important around automation, Brad. What's your thoughts on, as people start thinking about, okay, I need to have edge devices. How does automation play into that? And cause networking, edge it's kind of hand in hand there. So what's your thought on that? >> Yeah, for sure. It really depends on what infrastructure you have at the edge. You might be deploying servers at the edge. You may be administering IOT devices and really how you're directing that traffic either into edge compute or back to your data center. I think one of the places Ansible is going to be really critical is administering the network devices along that path from the edge, from IOT back to the data center, or to the cloud. >> Jill, when you have a Cloud, what's your thoughts on that? Because when you think about Cloud and Multicloud, that's coming around the horizon, you're looking at kind of the operational model. We talked about this a lot last year around having Cloud ops on premises and in the Cloud. What should customers think about when they look at the engineering challenges and the development challenges around Cloud? >> So cloud gets used for a lot of different things, right? But if we step back Cloud just means any sort of distributed applications, whether it's on prem in your own data center, on the edge, in a public hosted environment, and automation is critical for making those things work, when you have these complex applications that are distributed across, whether it's a rack, a data center or globally. You need a tool that can help you make sense of all of that. You've got to... We can't manage things just with, Oh, everything is on one box anymore. Cloud really just means that things have been exploded out and broken up into a bunch of different pieces. And there's now a lot more architectural complexity, no matter where you're running that. And so I think if you step back and look at it from that perspective, you can actually apply a lot of the same approaches and philosophies to these new challenges as they come up without having to reinvent the wheel of how you think about these applications. Just because you're putting them in a new environment, like at the edge or in a public Cloud or on a new, private on premise solution. >> It's interesting, you know, I've been really loving the cloud native action lately, especially with COVID, we're seeing a lot of more modern apps come out of that. If I could follow up there, how do you guys look at tools like Terraform and how does Ansible compare to that? Because you guys are very popular in the cloud configuration, you look at cloud native, Jill, your thoughts. >> Yeah. So Terraform and tools like that. Things like cloud formation or heat in the OpenStack world, they do really, really great at things like deploying your apps and setting up your stack and getting them out there. And they're really focused on that problem space, which is a hard problem space that they do a fantastic job with where Ansible tends to come in and a tool like Ansible is what do you do on day two with that application? How do you run an update? How do you manage it in the longterm of something like 60% of the workloads or cloud spend at least on AWS is still just EC2 instances. What do you do with all of those EC2 instances once you've deployed them, once they're in a stack, whether you're managing it, whatever tool you're managing it with, Ansible is a phenomenal way of getting in there and saying, okay, I have these instances, I know about them, but maybe I just need to connect out and run an update or add a package or reconfigure a service that's running on there. And I think you can glue these things together and use Ansible with these other stack deployment based tools really, really effectively. >> Real quick, just a quick followup on that. what's the big pain point for developers right now when they're looking at these tools? Because they see the path, what are some of the pain points that they're living right now that they're trying to overcome? >> I think one of the problems kind of coincidentally is we have so many tools. We're in kind of a tool explosion in the cloud space, right now. You could piece together as as many tools to manage your stack, as you have components in your stack and just making sense of what that landscape looks like right now and figuring out what are the right tools for the job I'm trying to do, that can be flexible and that are not going to box me into having to spend half of my engineering time, just managing my tools and making sense of all of that is a significant effort and job on its own. >> Yes, too many may add, would choke in years ago in the big data search, the tools, the tool train, one we call the tool shed, after a while, you don't know what's in the back, what you're using every day. People get comfortable with the right tools, but the platform becomes a big part of that thinking holistically as a system. And Adam, this comes back to security. There's more tools in the security space than ever before. Talking about tool challenges, security is the biggest tool shed everyone's got tools they'd buy everything, but you got to look at, what a platform looks like and developers just want to have the truth. And when you look at the configuration management piece of it, security is critical. What's your thoughts on the source of truth when it comes into play for these security appliances? >> So these are... Source of truth piece is kind of an interesting one because this is going to be very dependent on the organization. What type of brownfield environment they've developed, what type of things that they rely on, and what types of data they store there. So we have the ability for various sources of truth to come in for your inventory source and the types of information you store with that. This could be tagged information on a series of cloud instances or series about resources. This could be something you store in a network management tool or a CMDB. This could even be something that you put into a privilege access management system, such as, CyberArk or hashivault. Like those are the things and because of Ansible flexibility and because of the way that everything is put together in a pluggable nature, we have the capability to actually bring in all of these components from anywhere in a brownfield environment, in a preexisting infrastructure, as well as new decisions that are being made for the enterprise as I move forward. And, and we can bring all that together and be that infrastructure glue, be that automation component that can tie all these disjoint loosely coupled, or complete disc couple pieces, together. And that's kind of part of that, that security posture, remediation various levels of introspection into your environment, these types of things, as we go forward, and that's kind of what we're focusing on doing with this. >> What kind of data is stored in the source of truth? >> I mean... So what type of data? This could be credential. It could be single use credential access. This could be your inventory data for your systems, what target systems you're trying to do. It could be, various attributes of different systems to be able to classify them ,and codify them in different ways. It's kind of kind of depending, be configuration data. You know, we have the ability with some of the work that Brad and his team are doing to actually take unstructured data, make it structured, bullet into whatever your chosen source of truth is, store it, and then utilize that to, kind of decompose it into different vendors, specific syntax representations and those types of things. So we have a lot of different capability there as well. >> Brad, you were mentioned, do you have a talk on parsing, can you elaborate on that? And why should network operators care about that? >> Yeah, welcome to 2020. We're still parsing network configuration and operational state. This is an interesting one. If you had asked me years ago, did I think that we would be investing development time into parsing with Ansible network configurations? I would have said, "Well, I certainly hope not. "I hope programmability of network devices and the vendors "really have their API's in order." But I think what we're seeing is network containers are still comfortable with the command line. They're still very familiar with the command line and when it comes time to do operational state assessment and health assessment of your network, engineers are comfortable going to the command line and running show commands. So really what we're trying to do in the parsing space is not author brand new parking and parsing engine ourselves, but really leverage a lot of the open source tools that are already out there bringing them into Ansible, so network engineers can now harvest the critical information from usher operational state commands on their network devices. And then once they've gotten to the structure data, things get really interesting because now you can do entrance criteria checks prior to doing configuration changes, right? So if you want to ensure a network device has a very particular operational state, all the BGP neighbors are, for example before pushing configuration changes, what we have the ability to do now is actually parse the command that you would have run from the command line. Use that within a decision tree in your Ansible playbook, and only move forward when the configuration changes. If the box is healthy. And then once the configuration changes are made at the end, you run those same health checks to ensure that you're in a speck can do a steady state and are production ready. So parsing is the mechanism. It's the data that you get from the parsing that's so critical. >> If I had to ask you real quick, just while it's on my mind. You know, people want to know about automation. It's top of mind use case. What are some of these things around automation and configuration parsing, whether it's parsing to other configuration manager, what are the big challenges around automation? Because it's the Holy grail. Everyone wants it now. What are the couches? where's the hotspots that needs to be jumped on and managed carefully? Or the easiest low hanging fruit? >> Well, there's really two pieces to it, right? There's the technology. And then there's the culture. And, and we talk really about a culture of automation, bringing the team with you as you move into automation, ensuring that everybody has the tools and they're familiar with how automation is going to work and how their day job is going to change because of automation. So I think once the organization embraces automation and the culture is in place. On the technology side, low hanging fruit automation can be as simple as just using Ansible to push the commands that you would have previously pushed to the device. And then as your organization matures, and you mature along this kind of path of network automation, you're dealing with larger pieces, larger sections of the configuration. And I think over time, network engineers will become data managers, right? Because they become less concerned about the network, the vendors specific configuration, and they're really managing the data that makes up the configuration. And I think once you hit that part, you've won at automation because you can move forward with Ansible resource modules. You're well positioned to do NETCONF for RESTCONF or... Right once you've kind of grown to that it's the data that we need to be concerned about and it could fit (indistinct) and the operational state management piece, you're going to go through a transformation on the networking side. >> So you mentioned-- >> And one thing to note there, if I may, I feel like a piece of this too, is you're able to actually bridge teams because of the capability of Ansible, the breadth of technologies that we've had integrations with and our ability to actually bridge that gap between different technologies, different teams. Once you have that culture of automation, you can start to realize these DevOps and DevSecOps workflow styles that are top of everybody's mind these days. And that's something that I think is very powerful. And I like to try to preach when I have the opportunity to talk to folks about what we can do, and the fact that we have so much capability and so many integrations across the entire industry. >> That's a great point. DevSecOps is totally a hop on. When you have software and hardware, it becomes interesting. There's a variety of different equipment, on the security automation. What kind of security appliances can you guys automate? >> As of today, we are able to do endpoint management systems, enterprise firewalls, security information, and event management systems. We're able to do security orchestration, automation, remediation systems, privileged access management systems. We're doing some threat intelligence platforms. And we've recently added to the I'm sorry, did I say intrusion detection? We have intrusion detection and prevention, and we recently added endpoint security management. >> Huge, huge value there. And I think everyone's wants that. Jill, I've got to ask you about the Cloud because the modules came up. What use cases do you see the Ansible modules in for the public cloud? Because you got a lot of cloud native folks in public cloud, you've got enterprises lifting and shifting, there's a hybrid and multicloud horizon here. What's some of the use cases where you see those Ansible modules fitting well with public level. >> The modules that we have in public cloud can work across all of those things, you know. In our public clouds, we have support for Amazon web services, Azure GCP, and they all support your main services. You can spin up a Lambda, you can deploy ECS clusters, build AMI, all of those things. And then once you get all of that up there, especially looking at AWS, which is where I spend the most time, you get all your EC2 instances up, you can now pull that back down into Ansible, build an inventory from that. And seamlessly then use Ansible to manage those instances, whether they're running Linux or windows or whatever distro you might have them running, we can go straight from having deployed all of those services and resources to managing them and going between your instances in your traditional operating system management or those instances and your cloud services. And if you've got multiple clouds or if you still have on prem, or if you need to, for some reason, add those remote cloud instances into some sort of on-prem hardware load balancer, security endpoint, we can go between all of those things and glue everything together, fairly seamlessly. You can put all of that into tower and have one kind of view of your cloud and your hardware and your on-prem and being able to move things between them. >> Just put some color commentary on what that means for the customer in terms of, is it pain reduction, time savings? How would you classify their value? >> I mean, both. Instead of having to go between a number of different tools and say, "Oh, well for my on-prem, I have to use this. "But as soon as I shift over to a cloud, "I have to use these tools. "And, Oh, I can't manage my Linux instances with this tool "that only knows how to speak to, the EC2 to API." You can use one tool for all of these things. So like we were saying, bring all of your different teams together, give them one tool and one view for managing everything end to end. I think that's, that's pretty killer. >> All right. Now I get to the fun part. I want you guys to weigh in on the Kubernetes. Adam, if you can start with you, we'll start with you go in and tell us why is Kubernetes more important now? What does it mean? A lot of hype continues to be out there. What's the real meet around Kubernetes what's going on? >> I think the big thing is the modernization of the application development delivery. When you talk about Kubernetes and OpenShift and the capabilities we have there, and you talk about the architecture, you can build a lot of the tooling that you used to have to maintain, to be able to deliver sophisticated resilient architectures in your application stack, are now baked into the actual platform, so the container platform itself takes care of that for you and removes that complexity from your operations team, from your development team. And then they can actually start to use these primitives and kind of achieve what the cloud native compute foundation keeps calling cloud native applications and the ability to develop and do this in a way that you are able to take yourself out of some of the components you used to have to babysit a lot. And that becomes in also with the OpenShift operator framework that came out of originally Coral S, and if you go to operator hub, you're able to see these full lifecycle management stacks of infrastructure components that you don't... You no longer have to actually, maintain a large portion of what you start to do. And so the operator SDK itself, are actually developing these operators. Ansible is one of the automation capabilities. So there's currently three supported there's Ansible, there's one that you just have full access to the Golang API and then helm charts. So Ansible's specifically obviously being where we focus. We have our collection content for the... carries that core, and then also ReHat to OpenShift certified collection's coming out in, I think, a month or so. Don't hold me to the timeline. I'm shoving in trouble for that one, but we have those things going to come out. Those will be baked into the operator's decay that we fully supported by our customer base. And then we can actually start utilizing the Ansible expertise of your operations team to container native of the infrastructure components that you want to put into this new platform. And then Ansible itself is able to build that capability of automating the entire Kubernetes or OpenShift cluster in a way that allows you to go into a brownfield environment and automate your existing infrastructure, along with your more container native, futuristic next generation, net structure. >> Jill this brings up the question. Why don't you just use native public cloud resources versus Kubernetes and Ansible? What's the... What should people know about where you use that, those resources? >> Well, and it's kind of what Adam was saying with all of those brownfield deployments and to the same point, how many workloads are still running just in EC2 instances or VMs on the cloud. There's still a lot of tech out there that is not ready to be made fully cloud native or containerized or broken up. And with OpenShift, it's one more layer that lets you put everything into a kind of single environment instead of having to break things up and say, "Oh, well, this application has to go here. "And this application has to be in this environment.' You can do that across a public cloud and use a little of this component and a little of that component. But if you can bring everything together in OpenShift and manage it all with the same tools on the same platform, it simplifies the landscape of, I need to care about all of these things and look at all of these different things and keep track of these and are my tools all going to work together and are my tools secure? Anytime you can simplify that part of your infrastructure, I think is a big win. >> John: You know, I think about-- >> The one thing, if I may, Jill spoke to this, I think in the way that a architectural, infrastructure person would, but I want to try to really quick take the business analyst component of it as the hybrid component. If you're trying to address multiple footprints, both on prem, off prem, multiple public clouds, if you're running OpenShift across all of them, you have that single, consistent deployment and development footprint for everywhere. So I don't disagree with anything they said, I just wanted to focus specifically on... That piece is something that I find personally unique, as that was a problem for me in a past life. And that kind of speaks to me. >> Well, speaking of past lives-- >> Having me as an infrastructure person, thank you. >> Yeah. >> Well, speaking of past lives, OpenStack, you look at Jill with OpenStack, we've been covering the Cuba thing when OpenStack was rolling out back in the day, but you can also have private cloud. Where you used to... There's a lot of private cloud out there. How do you talk about that? How do people understand using public cloud versus the private cloud aspect of Ansible? >> Yeah, and I think there is still a lot of private cloud out there and I don't think that's a bad thing. I've kind of moved over onto the public cloud side of things, but there are still a lot of use cases that a lot of different industries and companies have that don't make sense for putting into public cloud. So you still have a lot of these on-prem open shift and on-prem OpenStack deployments that make a ton of sense and that are solving a bunch of problems for these folks. And I think they can all work together. We have Ansible that can support both of those. If you're a telco, you're not going to put your network function, virtualization on USC as to one in spot instances, right? When you call nine one one, you don't want that going through the public cloud. You want that to be on dedicated infrastructure, that's reliable and well-managed and engineered for that use case. So I think we're going to see a lot of ongoing OpenStack and on-prem OpenShift, especially with edge, enabling those types of use cases for a long time. And I think that's great. >> I totally agree with you. I think private cloud is not a bad thing at all. Things that are only going to accelerate my opinion. You look at the VM world, they talked about the telco cloud and you mentioned edge when five G comes out, you're going to have basically have private clouds everywhere, I guess, in my opinion. But anyway, speaking of VMware, could you talk about the Ansible VMware module real quick? >> Yeah, so we have a new collection that we'll be debuting at Ansible Fest this year bore the VMware REST API. So the existing VMware modules that we have usually SOAP API for VMware, and they rely on an external Python library that VMware provides, but with these fare 6.0 and especially in vSphere 6.5, VMware has stepped up with a REST API end point that we find is a lot more performance and offers a lot of options. So we built a new collection of VMware modules that will take advantage of that. That's brand new, it's a lighter way. It's much faster, we'll get better performance out of it. You know, reduced external requirements. You can install it and get started faster. And especially with these sphere seven, continuing to build on this REST API, we're going to see more and more interfaces being exposed so that we can take advantage. We plan to expand it as new interfaces are being exposed in that API, it's compatible with all of the existing modules. You can go back and forth, use your existing playbooks and start introducing these. But I think especially on the performance side, and especially as we get these larger clouds and more cloud deployments, edge clouds, where you have these private clouds and lots and lots of different places, the performance benefits of this new collection that we're trying to build is going to be really, really powerful for a lot of folks. >> Awesome. Brad, we didn't forget about you. We're going to bring you back in. Network automation has moved towards the resource modules. Why should people care about them? >> Yeah. Resource modules, excuse me. Probably I think having been a network engineer for so long, I think some of the most exciting work that has gone into Ansible network over the past year and a half, what the resource modules really do for you is they will reach out to network devices. They will pull back that network native, that vendor native configuration. While the resource module actually does the parsing for you. So there's none of that with the resource modules. And we returned structured data back to the user that represents the configuration. Going back to your question about source of truth. You can take that structure data, maybe for your interface CONFIG, your OSPF CONFIG, your access list CONFIG, and you can store that data in your source of truth under source of truth. And then where you are moving forward, is you really spend time as every engineer managing the data that makes up the configuration, and you can share that data across different platforms. So if you were to look at a lot of the resource modules, the data model that they support, it's fairly consistent between vendors. As an example, I can pull OSPF configuration from one vendor and with very small changes, push that OSPF configuration to a different vendor's platform. So really what we've tried to do with the resource modules is normalize the data model across vendors. It'll never be a hundred percent because there's functionality that exists in one platform that doesn't exist and that's exposed through the configuration, but where we could, we have normalized the data model. So I think it's really introducing the concept of network configuration management through data management and not through CLI commands anymore. >> Yeah, that's a great point. It just expands the network automation vision. And one of the things that's interesting here in this panel is you're talking about, cloud holistically, public multicloud, private hybrid security network automation as a platform, not just a tool, we're still going to have all kind of tools out there. And then the importance of automating the edge. I mean, that's a network game Brad. I mean, it's a data problem, right? I mean, we all know about networking, moving packets from here to there, but automating the data is critical and you give have bad data and you don't have... If you have misinformation, it sounds like our current politics, but you know, bad information is bad automation. I mean, what's your thoughts? How do you share that concept to developers out there? What should they be thinking about in terms of the data quality? >> I think that's the next thing we have to tackle as network engineers. It's not, do I have access to the data? You can get the data now for resource modules, you can get the data from NETCONF, from RESTCONF, you can get it from OpenConfig, you can get it from parsing. The question really is, how do you ensure the integrity and the quality of the data that is making up your configurations and the consistency of the data that you're using to look at operational state. And I think this is where the source of truth really becomes important. If you look at Git as a viable source of truth, you've got all the tools and the mechanisms within Git to use that as your source of truth for network configuration. So network engineers are actually becoming developers in the sense that they're using Git ops to worklow to manage configuration moving forward. It's just really exciting to see that transformation happen. >> Great panel. Thanks for everyone coming on, I appreciate it. We'll just end this by saying, if you guys could just quickly summarize Ansible fast 2020 virtual, what should people walk away with? What should your customers walk away with this year? What's the key points. Jill, we'll start with you. >> Hopefully folks will walk away with the idea that the Ansible community includes so many different folks from all over, solving lots of different, interesting problems, and that we can all come together and work together to solve those problems in a way that is much more effective than if we were all trying to solve them individually ourselves, by bringing those problems out into the open and working together, we get a lot done. >> Awesome, Brad? >> I'm going to go with collections, collections, collections. We introduced in last year. This year, they are real. Ansible2.10 that just came out is made up of collections. We've got certified collections on automation. We've got cloud collections, network collections. So they are here. They're the real thing. And I think it just gets better and deeper and more content moving forward. All right, Adam? >> Going last is difficult. Especially following these two. They covered a lot of ground and I don't really know that I have much to add beyond the fact that when you think about Ansible, don't think about it in a single context. It is a complete automation solution. The capability that we have is very extensible. It's very pluggable, which has a standing ovation to the collections and the solutions that we can come up with collectively. Thanks to ourselves. Everybody in the community is almost infinite. A few years ago, one of the core engineers did a keynote speech using Ansible to automate Philips hue light bulbs. Like this is what we're capable of. We can automate the fortune 500 data centers and telco networks. And then we can also automate random IOT devices around your house. Like we have a lot of capability here and what we can do with the platform is very unique and something special. And it's very much thanks to the community, the team, the open source development way. I just, yeah-- >> (Indistinct) the open source of truth, being collaborative all is what it makes up and DevOps and Sec all happening together. Thanks for the insight. Appreciate the time. Thank you. >> Thank you. I'm John Furrier, you're watching theCube here for Ansible Fest, 2020 virtual. Thanks for watching. (soft upbeat music)

>> Announcer: From around the globe, it's "theCUBE" covering Space and Cybersecurity Symposium 2020 hosted by Cal Poly. >> I want to welcome to theCUBE's coverage, we're here hosting with Cal Poly an amazing event, space and the intersection of cyber security. This session is Defending Satellite and Space Infrastructure from Cyber Threats. We've got two great guests. We've got Major General John Shaw of combined force space component commander, U.S. space command at Vandenberg Air Force Base in California and Roland Coelho, who's the CEO of Maverick Space Systems. Gentlemen, thank you for spending the time to come on to this session for the Cal Poly Space and Cybersecurity Symposium. Appreciate it. >> Absolutely. >> Guys defending satellites and space infrastructure is the new domain, obviously it's a war-fighting domain. It's also the future of the world. And this is an important topic because we rely on space now for our everyday life and it's becoming more and more critical. Everyone knows how their phones work and GPS, just small examples of all the impacts. I'd like to discuss with this hour, this topic with you guys. So if we can have you guys do an opening statement. General if you can start with your opening statement, we'll take it from there. >> Thanks John and greetings from Vandenberg Air Force Base. We are just down the road from Cal Poly here on the central coast of California, and very proud to be part of this effort and part of the partnership that we have with Cal Poly on a number of fronts. In my job here, I actually have two hats that I wear and it's I think, worth talking briefly about those to set the context for our discussion. You know, we had two major organizational events within our Department of Defense with regard to space last year in 2019. And probably the one that made the most headlines was the standup of the United States Space Force. That happened December 20th, last year, and again momentous, the first new branch in our military since 1947. And it's just over nine months old now, as we're makin' this recording. And already we're seein' a lot of change with regard to how we are approaching organizing, training, and equipping on a service side for space capabilities. And so, with regard to the Space Force, the hat I wear there is Commander of Space Operations Command. That was what was once 14th Air Force, when we were still part of the Air Force here at Vandenberg. And in that role, I'm responsible for the operational capabilities that we bring to the joint warfighter and to the world from a space perspective. Didn't make quite as many headlines, but another major change that happened last year was the reincarnation, I guess I would say, of United States Space Command. And that is a combatant command. It's how our Department of Defense organizes to actually conduct war-fighting operations. Most people are more familiar perhaps with Central Command, CENTCOM or Northern Command, NORTHCOM, or even Strategic Command, STRATCOM. Well, now we have a SPACECOM. We actually had one from 1985 until 2002, and then stood it down in the wake of the 9/11 attacks and a reorganization of Homeland Security. But we've now stood up a separate command again operationally, to conduct joint space operations. And in that organization, I wear a hat as a component commander, and that's the combined force-based component command working with other, all the additional capabilities that other services bring, as well as our allies. The combined in that title means that under certain circumstances, I would lead in an allied effort in space operations. And so it's actually a terrific job to have here on the central coast of California. Both working how we bring space capabilities to the fight on the Space Force side, and then how we actually operate those capabilities in support of joint warfighters around the world and national security interests. So that's the context. Now what also I should mention and you kind of alluded to John at your beginning, we're kind of in a changed situation than we were a number of years ago, in that we now see space as a war-fighting domain. For most of my career, goin' back a little ways, most of my focus in my jobs was making sure I could bring space capabilities to those that needed them. Bringing GPS to that special operations soldier on the ground somewhere in the world, bringing satellite communications for our nuclear command and control, bringing those capabilities for other uses. But I didn't have to worry in most of my career, about actually defending those space capabilities themselves. Well, now we do. We've actually gone to a point where we're are being threatened in space. We now are treating it more like any other domain, normalizing in that regard as a war-fighting domain. And so we're going through some relatively emergent efforts to protect and defend our capabilities in space, to design our capabilities to be defended, and perhaps most of all, to train our people for this new mission set. So it's a very exciting time, and I know we'll get into it, but you can't get very far into talking about all these space capabilities and how we want to protect and defend them and how we're going to continue their ability to deliver to warfighters around the globe, without talking about cyber, because they fit together very closely. So anyway, thanks for the chance to be here today. And I look forward to the discussion. >> General, thank you so much for that opening statement. And I would just say that not only is it historic with the Space Force, it's super exciting because it opens up so much more challenges and opportunities to do more and to do things differently. So I appreciate that statement. Roland in your opening statement. Your job is to put stuff in space, faster, cheaper, smaller, better, your opening statement, please. >> Yes, thank you, John. And yes, to General Shaw's point with the space domain and the need to protect it now is incredibly important. And I hope that we are more of a help than a thorn in your side in terms of building satellites smaller, faster, cheaper. Definitely looking forward to this discussion and figuring out ways where the entire space domain can work together, from industry to U.S. government, even to the academic environment as well. So first, I would like to say, and preface this by saying, I am not a cybersecurity expert. We build satellites and we launch them into orbit, but we are by no means cybersecurity experts. And that's why we like to partner with organizations like the California Cybersecurity Institute because they help us navigate these requirements. So I'm the CEO of Maverick Space Systems. We are a small aerospace business in San Luis Obispo, California. And we provide small satellite hardware and service solutions to a wide range of customers. All the way from the academic environment to the U.S. government and everything in between. We support customers through an entire program life cycle, from mission architecture and formulation, all the way to getting these customer satellites in orbit. And so what we try to do is provide hardware and services that basically make it easier for customers to get their satellites into orbit and to operate. So whether it be reducing mass or volume, creating greater launch opportunities, or providing the infrastructure and the technology to help those innovations mature in orbit, that's what we do. Our team has experience over the last 20 years, working with small satellites. And I'm definitely fortunate to be part of the team that invented the CubeSat standard by Cal Poly and Stanford back in 2000. And so, we are in VandenBerg's backyard. We came from Cal Poly San Luis Obispo and our hearts are fond of this area, and working with the local community. A lot of that success that we have had is directly attributable to the experiences that we learned as students, working on satellite programs from our professors and mentors. And that's all thanks to Cal Poly. So just wanted to tell a quick story. So back in 2000, just imagine a small group of undergraduate students, myself included, with the daunting task of launching multiple satellites from five different countries on a Russian launch vehicle. Many of us were only 18 or 19, not even at the legal age to drink yet, but as essentially teenagers we were managing million-dollar budgets. And we were coordinating groups from around the world. And we knew what we needed to accomplish, yet we didn't really know what we were doing when we first started. The university was extremely supportive and that's the Cal Poly learn-by-doing philosophy. I remember the first time we had a meeting with our university chief legal counsel, and we were discussing the need to register with the State Department for ITAR. Nobody really knew what ITAR was back then. And discussing this with the chief legal counsel, she was asking, "What is ITAR?" And we essentially had to explain, this is, launching satellites is part of the U.S. munitions list. And essentially we had a similar situation exporting munitions. We are in similar categories as weapons. And so, after that initial shock, everybody jumped in both feet forward, the university, our head legal counsel, professors, mentors, and the students knew we needed to tackle this problem because the need was there to launch these small satellites. And the reason this is important to capture the entire spectrum of users of the community, is that the technology and the innovation of the small satellite industry occurs at all levels, so we have academia, commercial, national governments. We even have high schools and middle schools getting involved and building satellite hardware. And the thing is the importance of cybersecurity is incredibly important because it touches all of these programs and it touches people at a very young age. And so, we hope to have a conversation today to figure out how do we create an environment where we allow these programs to thrive, but we also protect and keep their data safe as well. >> Thank you very much Roland. Appreciate that a story too as well. Thanks for your opening statement. Gentlemen, I mean I love this topic because defending the assets in space is obvious, if you look at it. But there's a bigger picture going on in our world right now. And general, you kind of pointed out the historic nature of Space Force and how it's changing already, operationally, training, skills, tools, all that stuff is evolving. You know in the tech world that I live in, change the world is a topic they use, gets thrown around a lot, you can change the world. A lot of young people, and we have other panels on this where we're talkin' about how to motivate young people, changing the world is what it's all about technology, for the better. Evolution is just an extension of another domain. In this case, space is just an extension of other domains, similar things are happening, but it's different. There's huge opportunity to change the world, so it's faster. There's an expanded commercial landscape out there. Certainly government space systems are moving and changing. How do we address the importance of cybersecurity in space? General, we'll start with you because this is real, it's exciting. If you're a young person, there's touch points of things to jump into, tech, building hardware, to changing laws, and everything in between is an opportunity, and it's exciting. And it is truly a chance to change the world. How does the commercial government space systems teams, address the importance of cybersecurity? >> So, John, I think it starts with the realization that as I like to say, that cyber and space are BFFs. There's nothing that we do on the cutting edge of space that isn't heavily reliant on the cutting edge of cyber. And frankly, there's probably nothing on the cutting edge of cyber that doesn't have a space application. And when you realize that and you see how closely those are intertwined as we need to move forward at speed, it becomes fundamental to answering your question. Let me give a couple examples. One of the biggest challenges I have on a daily basis is understanding what's going on in the space domain. Those on the surface of the planet talk about tyranny of distance across the oceans or across large land masses. And I talk about the tyranny of volume. And right now, we're looking out as far as the lunar sphere. There's activity that's extending out there. We expect NASA to be conducting perhaps human operations in the lunar environment in the next few years. So it extends out that far. When you do the math that's a huge volume. How do you do that? How do you understand what's happening in real time within that volume? It is a big data problem by the very definition of that kind of effort and that kind of challenge. And to do it successfully in the years ahead, it's going to require many, many sensors and the fusion of data of all kinds, to present a picture and then analytics and predictive analytics that are going to deliver an idea of what's going on in the space arena. And that's just if people are not up to mischief. Once you have threats introduced into that environment, it is even more challenging. So I'd say it's a big data problem that we'll enjoy tackling in the years ahead. Now, a second example is, if we had to take a vote of what were the most amazing robots that have ever been designed by humans, I think that spacecraft would have to be up there on the list. Whether it's the NASA spacecraft that explore other planets, or GPS satellites that amazingly provide a wonderful service to the entire globe and beyond. They are amazing technological machines. That's not going to stop. I mean, all the work that Roland talked about, even that we're doin' at the kind of the microsat level is putting cutting-edge technology into small a package as you can to get some sort of capability out of that. As we expand our activities further and further into space for national security purposes, or for exploration or commercial or civil, the cutting-edge technologies of artificial intelligence and machine-to-machine engagements and machine learning are going to be part of that design work moving forward. And then there's the threat piece. As we operate these capabilities, as these constellations grow, that's going to be done via networks. And as I've already pointed out space is a war-fighting domain. That means those networks will come under attack. We expect that they will and that may happen early on in a conflict. It may happen during peace time in the same way that we see cyber attacks all the time, everywhere in many sectors of activity. And so by painting that picture, we start to see how it's intertwined at the very, very most basic level, the cutting edge of cyber and cutting edge of space. With that then comes the need to, any cutting edge cybersecurity capability that we have is naturally going to be needed as we develop space capabilities. And we're going to have to bake that in from the very beginning. We haven't done that in the past as well as we should, but moving forward from this point on, it will be an essential ingredient that we work into all of our capability. >> Roland, we're talkin' about now, critical infrastructure. We're talkin' about new capabilities being addressed really fast. So, it's kind of chaotic now there's threats. So it's not as easy as just having capabilities, 'cause you've got to deal with the threats the general just pointed out. But now you've got critical infrastructure, which then will enable other things down the line. How do you protect it? How do we address this? How do you see this being addressed from a security standpoint? Because malware, these techniques can be mapped in, extended into space and takeovers, wartime, peace time, these things are all going to be under threat. That's pretty well understood, and I think people kind of get that. How do we address it? What's your take? >> Yeah, yeah, absolutely. And I couldn't agree more with General Shaw, with cybersecurity and space being so intertwined. And, I think with fast and rapid innovation comes the opportunity for threats, especially if you have bad actors that want to cause harm. And so, as a technology innovator and you're pushing the bounds, you kind of have a common goal of doing the best you can, and pushing the technology bounds, making it smaller, faster, cheaper. But a lot of times what entrepreneurs and small businesses and supply chains are doing, and don't realize it, is a lot of these components are dual use. I mean, you could have a very benign commercial application, but then a small modification to it, can turn it into a military application. And if you do have these bad actors, they can exploit that. And so, I think that the big thing is creating a organization that is non-biased, that just wants to kind of level the playing field for everybody to create a set standard for cybersecurity in space. I think one group that would be perfect for that is CCI. They understand both the cybersecurity side of things, and they also have at Cal Poly the small satellite group. And just having kind of a clearing house or an agency where can provide information that is free, you don't need a membership for. And to be able to kind of collect that, but also reach out to the entire value chain for a mission, and making them aware of what potential capabilities are and then how it might be potentially used as a weapon. And keeping them informed, because I think the vast majority of people in the space industry just want to do the right thing. And so, how do we get that information free flowing to the U.S. government so that they can take that information, create assessments, and be able to, not necessarily stop threats from occurring presently, but identify them long before that they would ever even happen. Yeah, that's- >> General, I want to follow up on that real quick before we move to the next top track. Critical infrastructure you mentioned, across the oceans long distance, volume. When you look at the physical world, you had power grids here in the United States, you had geography, you had perimeters, the notion of a perimeter and a moat, and then you had digital comes in. Then you have, we saw software open up, and essentially take down this idea of a perimeter, and from a defense standpoint, and everything changed. And we have to fortify those critical assets in the U.S. Space increases the same problem statement significantly, because you can't just have a perimeter, you can't have a moat, it's open, it's everywhere. Like what digital's done, and that's why we've seen a surge of cyber in the past two decades, attacks with software. So, this isn't going to go away. You need the critical infrastructure, you're putting it up there, you're formulating it, and you got to protect it. How do you view that? Because it's going to be an ongoing problem statement. What's the current thinking? >> Yeah, I think my sense is that a mindset that you can build a firewall, or a defense, or some other system that isn't dynamic in its own right, is probably not headed in the right direction. I think cybersecurity in the future, whether it's for space systems, or for other critical infrastructure is going to be a dynamic fight that happens at a machine-to-machine speed and dynamic. I don't think that it's too far off where we will have machines writing their own code in real time to fight off attacks that are coming at them. And by the way, the offense will probably be doing the same kind of thing. And so, I guess I would not want to think that the answer is something that you just build it and you leave it alone and it's good enough. It's probably going to be a constantly-evolving capability, constantly reacting to new threats and staying ahead of those threats. >> That's the kind of use case, you know as you were, kind of anecdotal example is the exciting new software opportunities for computer science majors. I mean, I tell my young kids and everyone, man it's more exciting now. I wish I was 18 again, it's so exciting with AI. Roland, I want to get your thoughts. We were joking on another panel with the DoD around space and the importance of it obviously, and we're going to have that here. And then we had a joke. It's like, oh software's defined everything. Software's everything, AI. And I said, "Well here in the United States, companies had data centers and then they went to the cloud." And then he said, "You can do break, fix, it's hard to do break, fix in space. You can't just send a tech up." I get that today, but soon maybe robotics. The general mentions robotics technologies, in referencing some of the accomplishments. Fixing things is almost impossible in space. But maybe form factors might get better. Certainly software will play a role. What's your thoughts on that landscape? >> Yeah, absolutely. You know, for software in orbit, there's a push for software-defined radios to basically go from hardware to software. And that's a critical link. If you can infiltrate that and a small satellite has propulsion on board, you could take control of that satellite and cause a lot of havoc. And so, creating standards and that kind of initial threshold of security, for let's say these radios, or communications and making that available to the entire supply chain, to the satellite builders, and operators is incredibly key. And that's again, one of the initiatives that CCI is tackling right now as well. >> General, I want to get your thoughts on best practices around cybersecurity, state-of-the-art today, and then some guiding principles, and kind of how the, if you shoot the trajectory forward, what might happen around supply chain? There's been many stories where, we outsource the chips and there's a little chip sittin' in a thing and it's built by someone else in China, and the software is written from someone in Europe, and the United States assembles it, it gets shipped and it's corrupt, and it has some cyber, I'm making it up, I'm oversimplifying the statement. But this is what when you have space systems that involve intellectual property from multiple partners, whether it's from software to creation and then deployment. You got supply chain tiers. What are some of best practices that you see involving, that don't stunt the innovation, but continues to innovate, but people can operate safely. What's your thoughts? >> Yeah, so on supply chain, I think the symposium here is going to get to hear from General JT Thompson from space and missile system center down in Los Angeles, and he's just down the road from us there on the coast. And his team is the one that we look to to really focus on, as he fires and develops to again bake in cybersecurity from the beginning and knowing where the components are coming from, and properly assessing those as you put together your space systems, is a key piece of what his team is focused on. So I expect, we'll hear him talk about that. When it talks to, I think, so you asked the question a little more deeply about how do the best practices in terms of how we now develop moving forward. Well, another way that we don't do it right, is if we take a long time to build something and then General JT Thompson's folks take a while to build something, and then they hand it over to me, and my team operate and then they go hands free. And then that's what I have for years to operate until the next thing comes along. That's a little old school. What we're going to have to do moving forward with our space capabilities, and with the cyber piece baked in is continually developing new capability sets as we go. We actually have partnership between General Thompson's team and mine here at Vandenberg on our ops floor, or our combined space operation center, that are actually working in real time together, better tools that we can use to understand what's going on in the space environment to better command and control our capabilities anywhere from military satellite communications, to space domain awareness, sensors, and such. And we're developing those capabilities in real time. And with the security pieces. So DevSecOps is we're practicing that in real time. I think that is probably the standard today that we're trying to live up to as we continue to evolve. But it has to be done again, in close partnership all the time. It's not a sequential, industrial-age process. While I'm on the subject of partnerships. So, General Thompson's team and mine have good partnerships. It's partnerships across the board are going to be another way that we are successful. And that it means with academia and some of the relationships that we have here with Cal Poly. It's with the commercial sector in ways that we haven't done before. The old style business was to work with just a few large companies that had a lot of space experience. Well, we need a lot of kinds of different experience and technologies now in order to really field good space capabilities. And I expect we'll see more and more non-traditional companies being part of, and organizations, being part of that partnership that will work goin' forward. I mentioned at the beginning that allies are important to us. So everything that Roland and I have been talking about I think you have to extrapolate out to allied partnerships. It doesn't help me as a combined force component commander, which is again, one of my jobs. It doesn't help me if the United States capabilities are cybersecure, but I'm tryin' to integrate them with capabilities from an ally that are not cybersecure. So that partnership has to be dynamic and continually evolving together. So again, close partnering, continually developing together from the acquisition to the operational sectors, with as many different sectors of our economy as possible, are the ingredients to success. >> General, I'd love to just follow up real quick. I was having just a quick reminder for a conversation I had with last year with General Keith Alexander, who does a lot of cybersecurity work, and he was talking about the need to share faster. And the new school is you got to share faster to get the data, you mentioned observability earlier, you need to see what everything's out there. He's a real passionate person around getting the data, getting it fast and having trusted partners. So that's not, it's kind of evolving as, I mean, sharing's a well known practice, but with cyber it's sensitive data potentially. So there's a trust relationship. There's now a new ecosystem. That's new for government. How do you view all that and your thoughts on that trend of the sharing piece of it on cyber? >> So, I don't know if it's necessarily new, but it's at a scale that we've never seen before. And by the way, it's vastly more complicated and complex when you overlay from a national security perspective, classification of data and information at various levels. And then that is again complicated by the fact you have different sharing relationships with different actors, whether it's commercial, academic, or allies. So it gets very, very complex web very quickly. So that's part of the challenge we're workin' through. How can we effectively share information at multiple classification levels with multiple partners in an optimal fashion? It is certainly not optimal today. It's very difficult, even with maybe one industry partner for me to be able to talk about data at an unclassified level, and then various other levels of classification to have the traditional networks in place to do that. I could see a solution in the future where our cybersecurity is good enough that maybe I only really need one network and the information that is allowed to flow to the players within the right security environment to make that all happen as quickly as possible. So you've actually, John you've hit on yet another big challenge that we have, is evolving our networks to properly share, with the right people, at the right clearance levels at the speed of war, which is what we're going to need. >> Yeah, and I wanted to call that out because this is an opportunity, again, this discussion here at Cal Poly and around the world is for new capabilities and new people to solve the problems. It's again, it's super exciting if you're geeking out on this. If you have a tech degree or you're interested in changin' the world, there's so many new things that could be applied right now. Roland, I want to get your thoughts on this, because one of the things in the tech trends we're seeing, and this is a massive shift, all the theaters of the tech industry are changing rapidly at the same time. And it affects policy law, but also deep tech. The startup communities are super important in all this too. We can't forget them. Obviously, the big trusted players that are partnering certainly on these initiatives, but your story about being in the dorm room. Now you've got the boardroom and now you got everything in between. You have startups out there that want to and can contribute. You know, what's an ITAR? I mean, I got all these acronym certifications. Is there a community motion to bring startups in, in a safe way, but also give them ability to contribute? Because you look at open source, that proved everyone wrong on software. That's happening now with this now open network concept, the general was kind of alluding to. Which is, it's a changing landscape. Your thoughts, I know you're passionate about this. >> Yeah, absolutely. And I think as General Shaw mentioned, we need to get information out there faster, more timely and to the right people, and involving not only just stakeholders in the U.S., but internationally as well. And as entrepreneurs, we have this very lofty vision or goal to change the world. And oftentimes, entrepreneurs, including myself, we put our heads down and we just run as fast as we can. And we don't necessarily always kind of take a breath and take a step back and kind of look at what we're doing and how it's touching other folks. And in terms of a community, I don't know of any formal community out there, it's mostly ad hoc. And, these ad hoc communities are folks who let's say was a student working on a satellite in college. And they loved that entrepreneurial spirit. And so they said, "Well, I'm going to start my own company." And so, a lot of these ad hoc networks are just from relationships that have been built over the last two decades from colleagues at the university. I do think formalizing this and creating kind of a clearing house to handle all of this is incredibly important. >> And there's going to be a lot of entrepreneurial activity, no doubt, I mean there's too many things to work on and not enough time. I mean this brings up the question that I'm going to, while we're on this topic, you got the remote work with COVID, everyone's workin' remotely, we're doin' this remote interview rather than being on stage. Work's changing, how people work and engage. Certainly physical will come back. But if you looked at historically the space industry and the talent, they're all clustered around the bases. And there's always been these areas where you're a space person. You kind of work in there and the job's there. And if you were cyber, you were generally in other areas. Over the past decade, there's been a cross-pollination of talent and location. As you see the intersection of space, general we'll start with you, first of all, central coast is a great place to live. I know that's where you guys live. But you can start to bring together these two cultures. Sometimes they're not the same. Maybe they're getting better. We know they're being integrated. So general, can you just share your thoughts because this is one of those topics that everyone's talkin' about, but no one's actually kind of addressed directly. >> Yeah, John, I think so. I think I want to answer this by talkin' about where I think the Space Force is going. Because I think if there was ever an opportunity or an inflection point in our Department of Defense to sort of change culture and try to bring in non-traditional kinds of thinking and really kind of change maybe some of the ways that the Department of Defense does things that are probably archaic, Space Force is an inflection point for that. General Raymond, our Chief of Space Operations, has said publicly for awhile now, he wants the U.S. Space Force to be the first truly digital service. And what we mean by that is we want the folks that are in the Space Force to be the ones that are the first adopters, the early adopters of technology. To be the ones most fluent in the cutting edge, technologic developments on space and cyber and other sectors of the economy that are technologically focused. And I think there's some, that can generate some excitement, I think. And it means that we'll probably ended up recruiting people into the Space Force that are not from the traditional recruiting areas that the rest of the Department of Defense looks to. And I think it allows us to bring in a diversity of thought and diversity of perspective and a new kind of motivation into the service, that I think is frankly really exciting. So if you put together everything I mentioned about how space and cyber are going to be best friends forever. And I think there's always been an excitement from the very beginning in the American psyche about space. You start to put all these ingredients together, and I think you see where I'm goin' with this. That this is a chance to really change that cultural mindset that you were describing. >> It's an exciting time for sure. And again, changing the world. And this is what you're seeing today. People do want to change the world. They want a modern world that's changing. Roland, I'll get your thoughts on this. I was having an interview a few years back with a technology entrepreneur, a techie, and we were joking, we were just kind of riffing. And I said, "Everything that's on "Star Trek" will be invented." And we're almost there actually, if you think about it, except for the transporter room. You got video, you got communicators. So, not to bring in the "Star Trek" reference with Space Force, this is digital. And you start thinking about some of the important trends, it's going to be up and down the stack, from hardware to software, to user experience, everything. Your thoughts and reaction. >> Yeah, absolutely. And so, what we're seeing is timelines shrinking dramatically because of the barrier to entry for new entrants and even your existing aerospace companies is incredibly low, right? So if you take previously where you had a technology on the ground and you wanted it in orbit, it would take years. Because you would test it on the ground. You would verify that it can operate in a space environment. And then you would go ahead and launch it. And we're talking tens, if not hundreds of millions of dollars to do that. Now, we've cut that down from years to months. When you have a prototype on the ground and you want to get it launched, you don't necessarily care if it fails on orbit the first time, because you're getting valuable data back. And so, we're seeing technology being developed for the first time on the ground and in orbit in a matter of a few months. And the whole kind of process that we're doing as a small business is trying to enable that. And so, allowing these entrepreneurs and small companies to get their technology in orbit at a price that is sometimes even cheaper than testing on the ground. >> You know this is a great point. I think this is really an important point to call out because we mentioned partnerships earlier, the economics and the business model of space is doable. I mean, you do a mission study. You get paid for that. You have technology that you get stuff up quickly, and there's a cost structure there. And again, the alternative was waterfall planning, years and millions. Now the form factors are doing, now, again, there may be different payloads involved, but you can standardize payloads. You've got robotic arms. This is all available. This brings up the congestion problem. This is going to be on the top of mind of the generals of course, but you've got the proliferation of these constellation systems. You're going to have more and more tech vectors. I mean, essentially that's malware. I mean, that's a probe. You throw something up in space that could cause some interference. Maybe a takeover. General, this is the real elephant in the room, the threat matrix from new stuff and new configurations. So general, how does the proliferation of constellation systems change the threat matrix? >> So I think the, you know I guess I'm going to be a little more optimistic John than I think you pitched that. I'm actually excited about these new mega constellations in LEO. I'm excited about the growing number of actors that are going into space for various reasons. And why is that? It's because we're starting to realize a new economic engine for the nation and for human society. So the question is, so I think we want that to happen. When we could go to almost any other domain in history and when air travel started to become much, much more commonplace with many kinds of actors from private pilots flying their small planes, all the way up to large airliners, there was a problem with congestion. There was a problem about, challenges about behavior, and are we going to be able to manage this? And yes we did. And it was for the great benefit of society. I could probably look to the maritime domain for similar kinds of things. And so this is actually exciting about space. We are just going to have to find the ways as a society, and it's not just the Department of Defense, it's going to be civil, it's going to be international, find the mechanisms to encourage this continued investment in the space domain. I do think that Space Force will play a role in providing security in the space environment, as we venture further out, as economic opportunities emerge, wherever they are in the lunar, Earth, lunar system, or even within the solar system. Space Force is going to play a role in that. But I'm actually really excited about those possibilities. Hey, by the way, I got to say, you made me think of this when you talked about "Star Trek" and Space Force and our technologies, I remember when I was younger watchin' the Next Generation series. I thought one of the coolest things, 'cause bein' a musician in my spare time, I thought one of the coolest things was when Commander Riker would walk into his quarters and say, "Computer play soft jazz." And there would just be, the computer would just play music. And this was an age when we had hard media. Like how will that, that is awesome. Man, I can't wait for the 23rd century when I can do that. And where we are today is so incredible on those lines. The things that I can ask Alexa or Siri to play. >> Well that's the thing, everything that's on "Star Trek," think about it, it's almost invented. I mean, you got the computers, you got, the only thing really is, holograms are startin' to come in, you got, now the transporter room. Now that's physics. We'll work on that. >> So there is this balance between physics and imagination, but we have not exhausted either. >> Well, firstly, everyone that knows me knows I'm a huge "Star Trek" fan, all the series. Of course, I'm an original purist, but at that level. But this is about economic incentive as well. Roland, I want to get your thoughts, 'cause the gloom and doom, we got to think about the bad stuff to make it good. If I put my glass half full on the table, this economic incentives, just like the example of the plane and the air traffic. There's more actors that are incented to have a secure system. What's your thoughts to general's comments around the optimism and the potential threat matrix that needs to be managed. >> Absolutely, so one of the things that we've seen over the years, as we build these small satellites is a lot of that technology that the General's talking about, voice recognition, miniaturized chips, and sensors, started on the ground. And I mean, you have your iPhone, that, about 15 years ago before the first iPhone came out, we were building small satellites in the lab and we were looking at cutting-edge, state-of-the-art magnetometers and sensors that we were putting in our satellites back then. We didn't know if they were going to work. And then a few years later, as these students graduate, they go off and they go out to other industries. And so, some of the technology that was first kind of put in these CubeSats in the early 2000s, kind of ended up in the first generation iPhone, smartphones. And so being able to take that technology, rapidly incorporate that into space and vice versa gives you an incredible economic advantage. Because not only are your costs going down because you're mass producing these types of terrestrial technologies, but then you can also increase revenue and profit by having smaller and cheaper systems. >> General, let's talk about that real quickly, that's a good point, I want to just shift it into the playbook. I mean, everyone talks about playbooks for management, for tech, for startups, for success. I mean, one of the playbooks that's clear from your history is investment in R&D around military and/or innovation that has a long view, spurs innovation, commercially. I mean, just there's a huge, many decades of history that shows that, hey we got to start thinking about these challenges. And next thing you know it's in an iPhone. This is history, this is not like a one off. And now with Space Force you're driving the main engine of innovation to be all digital. You know, we riff about "Star Trek" which is fun, the reality is you're going to be on the front lines of some really new, cool, mind-blowing things. Could you share your thoughts on how you sell that to the people who write the checks or recruit more talent? >> First, I totally agree with your thesis that national security, well, could probably go back an awful long way, hundreds to thousands of years, that security matters tend to drive an awful lot of innovation and creativity. You know I think probably the two things that drive people the most are probably an opportunity to make money, but beating that out are trying to stay alive. And so, I don't think that's going to go away. And I do think that Space Force can play a role as it pursues security structures, within the space domain to further encourage economic investment and to protect our space capabilities for national security purposes, are going to be at the cutting edge. This isn't the first time. I think we can point back to the origins of the internet, really started in the Department of Defense, with a partnership I should add, with academia. That's how the internet got started. That was the creativity in order to meet some needs there. Cryptography has its roots in security, in national security, but now we use it for economic reasons and a host of other kinds of reasons. And then space itself, I mean, we still look back to Apollo era as an inspiration for so many things that inspired people to either begin careers in technical areas or in space and so on. So I think in that same spirit, you're absolutely right. I guess I'm totally agreeing with your thesis. The Space Force will have a positive, inspirational influence in that way. And we need to realize that. So when we are asking for, when we're looking for how we need to meet capability needs, we need to spread that net very far, look for the most creative solutions and partner early and often with those that can work on those. >> When you're on the new frontier, you got to have a team sport, it's a team effort. And you mentioned the internet, just anecdotally I'm old enough to remember this 'cause I remember the days that it was goin' on, is that the policy decisions that the U.S. made at that time was to let it go a little bit invisible hand. They didn't try to commercialize it too fast. But there was some policy work that was done, that had a direct effect to the innovation. Versus take it over, and the next thing you know it's out of control. So I think there's this cross-disciplinary skillset becomes a big thing where you need to have more people involved. And that's one of the big themes of this symposium. So it's a great point. Thank you for sharing that. Roland, your thoughts on this because you got policy decisions. We all want to run faster. We want to be more innovative, but you got to have some ops view. Now, most of the ops view people want things very tight, very buttoned up, secure. The innovators want to go faster. It's the ying and yang. That's the world we live in. How's it all balance in your mind? >> Yeah, one of the things that may not be apparently obvious is that the U.S. government and Department of Defense is one of the biggest investors in technology in the aerospace sector. They're not the traditional venture capitalists, but they're the ones that are driving technology innovation because there's funding. And when companies see that the U.S. government is interested in something, businesses will revector to provide that capability. And, I would say the more recent years, we've had a huge influx of private equity, venture capital coming into the markets to kind of help augment the government investment. And I think having a good partnership and a relationship with these private equity, venture capitalists and the U.S. government is incredibly important because the two sides can help collaborate and kind of see a common goal. But then also too, on the other side there's that human element. And as General Shaw was saying, not only do companies obviously want to thrive and do really well, some companies just want to stay alive to see their technology kind of grow into what they've always dreamed of. And oftentimes entrepreneurs are put in a very difficult position because they have to make payroll, they have to keep the lights on. And so, sometimes they'll take investment from places where they may normally would not have, from potentially foreign investment that could potentially cause issues with the U.S. supply chain. >> Well, my final question is the best I wanted to save for last, because I love the idea of human space flight. I'd love to be on Mars. I'm not sure I'm able to make it someday, but how do you guys see the possible impacts of cybersecurity on expanding human space flight operations? I mean, general, this is your wheelhouse. This is your in command, putting humans in space and certainly robots will be there because they're easy to go 'cause they're not human. But humans in space. I mean, you startin' to see the momentum, the discussion, people are scratchin' that itch. What's your take on that? How do we see makin' this more possible? >> Well, I think we will see commercial space tourism in the future. I'm not sure how wide and large a scale it will become, but we will see that. And part of the, I think the mission of the Space Force is going to be probably to again, do what we're doin' today is have really good awareness of what's going on in the domain to ensure that that is done safely. And I think a lot of what we do today will end up in civil organizations to do space traffic management and safety in that arena. And, it is only a matter of time before we see humans going, even beyond the, NASA has their plan, the Artemis program to get back to the moon and the gateway initiative to establish a space station there. And that's going to be a NASA exploration initiative. But it is only a matter of time before we have private citizens or private corporations putting people in space and not only for tourism, but for economic activity. And so it'll be really exciting to watch. It'll be really exciting and Space Force will be a part of it. >> General, Roland, I want to thank you for your valuable time to come on this symposium. Really appreciate it. Final comment, I'd love you to spend a minute to share your personal thoughts on the importance of cybersecurity to space and we'll close it out. We'll start with you Roland. >> Yeah, so I think the biggest thing I would like to try to get out of this from my own personal perspective is creating that environment that allows the aerospace supply chain, small businesses like ourselves, be able to meet all the requirements to protect and safeguard our data, but also create a way that we can still thrive and it won't stifle innovation. I'm looking forward to comments and questions, from the audience to really kind of help, basically drive to that next step. >> General final thoughts, the importance of cybersecurity to space. >> I'll go back to how I started I think John and say that space and cyber are forever intertwined, they're BFFs. And whoever has my job 50 years from now, or a hundred years from now, I predict they're going to be sayin' the exact same thing. Cyber and space are intertwined for good. We will always need the cutting edge, cybersecurity capabilities that we develop as a nation or as a society to protect our space capabilities. And our cyber capabilities are going to need space capabilities in the future as well. >> General John Shaw, thank you very much. Roland Coelho, thank you very much for your great insight. Thank you to Cal Poly for puttin' this together. I want to shout out to the team over there. We couldn't be in-person, but we're doing a virtual remote event. I'm John Furrier with "theCUBE" and SiliconANGLE here in Silicon Valley, thanks for watching. (upbeat music)

>>from around the globe. It's the Cube covering HP Discover Virtual Experience Brought to You by HP >>I Welcome to the Cube's coverage of HP Discover. 2020. The virtual experience I'm Stew Minimum course This year we're getting to talk to HP, their customers and their partners where they are around the globe. We said many times these were, you know, together, even while we're art happy to dig into a really important partnership with HP and VM Ware. Welcome to the program. First time guest on the program Christmas Satterthwaite. She is the vice president of product management for Compute with Packard Enterprise and welcome back to the program Lee Caswell. He is the vice president, product marketing for hyper converged infrastructure, her at VM Ware talking about V sphere and how that gets bundled into everything else. Chris Stanley, thanks so much for joining us. >>Thanks for having us. >>Alright, So, Chris, let's start with you. So you know, like a little bit about your background? The HP and HP relationship with VM Ware, you know, goes back to you know, the earliest days, but, you know, give us a little bit about you know where in the portfolio you focus on and and how VM Ware fit, then >>Oh, sure, sure. So I've been with H P E for 23 years now, and I'm leading the business for Alliance and Synergy and talking a little bit about the relationship with VM Ware. So we've been partnering for 19 years and we have over 200,000 joint customers together. And I'm actually often asked about the partnership and how we partner and we really partner across all fronts. So it's from the innovation for the co engineering, the working with specific customers on what solutions are good for them to servicing our customers. So we're really working across the board, and a lot of customers we work with closely are really impressed with how closely we're working together, because that's what they look for. >>Yeah, and we it's it's It's an interesting relationship to watch. Obviously, you know, long history Chris talked about on the it side, but the VM partnership is more than just the compute. Maybe gives a little bit of a view inside. You know, the joint engineering go to market efforts that you do. >>Yeah. I mean, customers always sit up straight when we talk together, because both hard companies or just raw engines of innovation and they look forward to not just the capabilities or bringing, but also the seamless way that we integrate that and make that seamless and easy for customers to digest. So certainly on the server front through V sphere, that's been a longstanding, uh, participation the VM Ware Cloud Foundation. Then this fully software defined stack became a really interesting way for us to go in partner and show joint value to customers who are trying to basically get more speed the speed. We're gonna talk about a lot that today and then finally, the confirmation that we've opened up into storage systems, right? So there's certainly a hyper converged element of it. But now what we do with Nimble three Par and now I'm Era is a really interesting way for us to take the vehicle technology that we have and extend the common operating model. So really just interesting innovation for customers that take advantage of as they look to innovate themselves. >>Krista, from from a research standpoint, you know, we were really early in watching, you know, new models of building out storage. And we said, You know, the pendulum has swung back to pull it much closer to the compute you talked about. You've got a broad portfolio and compute. You know, synergy has some really interesting, you know, ways to be able to compose things and leverage software capabilities. So maybe give >>us a >>little bit of how HP differentiates in the market cause, you know, VM Ware does partner with lots of people. But you know what separates the's point solution? Everything else out in the market? >>Sure, and synergy is a great example, because what we're seeing is really, really high interest on on synergy with VCF. And the reason for that is because customers want a software to find infrastructure that they can compose, compute storage and networking as they need to to address any workload they have. And they want to do that with a partner like VM Ware and VCF. So what we see is customers choosing those two things together and building their hybrid cloud environments on those two. When I think of some of the customers that we have, I'll give you a specific example. So Banco Santander's one of the largest banking groups in the world. And they are really trying to drive innovation across all of their, um, locations there in North America, South America, Europe, Asia. They're trying to drive innovation across. They have a big project, and they selected Synergy and VCF and as a service green lake bottle to help them transform their business. And they're really excited because what they think this is providing to them is a reduced a data center space, reduced power consumption and reduce costs. And all of that with automation, more automation than they've had in the past. More flexibility than they've had in the past. >>Yeah, I'm so glad you brought up the Green Lake because you know, those as a service models. You know, Cloud obviously has been a big discussion for the last two years, Lee, Um, you know, VM Ware is no stranger to, you know, working in multi and hybrid environments. It gives a little bit about you know what you're hearing from your customers. You know, if you meant Green Lake, how does that fit in the overall? You know, VM Ware multi cloud offering. >>Well, you know, we all know these air uncertain times, right? and customers and uncertain times. We're looking for flexibility. How do they go? And basically, you know, invest smartly, right? Look to come out of uncertain times stronger. And what we're finding is that the flexibility, you know, starting it. You know, we're really impressed with this energy platform, by the way, the idea of being able to flexibly, configure, compute and storage to tie into external arrays from that end, to have the VM Ware Cloud Foundation is a unifying, software defined data center concept that's available on Prem and then extends into the hybrid cloud. This basic gives investment protection to customers who are looking for how to invest in. You know, you mentioned Green Lake as well, and I just mentioned that innovation on Green Lake is about true consumption based purchasing miles, if you will. And that's different than just a financial engineering aspect. I mean, that's real innovation and real technical innovation in terms of how customers can go in a why infrastructure at the time that they needed relative to that compelling business models, >>and I'll chime in their Teoh, I'll tell you a little story about when I first presented the green like model. At that time, it wasn't called Green Lake, but I presented it to a bunch of customers, about 100 customers in an advisory council. And I have never had so many people come up to me afterwards trying to figure out how they can get that for themselves as I did when I had that presentation. What really resonated with people is that they wanted to take advantage of the latest and greatest technologies, but they didn't have big budgets. And when they did take advantage of those technologies, one of the challenges has been growth. So when they need to expand, that's another procurement cycle. You have a way to have the standard all love with Green Lake. You actually have that added capacity on sites and then also painful what you use s so they were attracted to all of those things. And I feel like right now and the environment were in many people had big, big projects, things they want to do, and they may have planned those ah, a capital expenditure for that. But that money may not be there, So Green Lake is one of those things that can help overcome that challenge. And what we found is when people use green like we don't see many people. Um, go back. So what? I was talking to the green like team, and I said, You know what happens if they decide not to do Green Lake and they're kind of pause, and they're like, Well, we really haven't run into that very often. So it's very, very popular, and customers were really happy with it. >>Yeah. Talking about innovation and helping customers take advantage of new technologies. You know, maybe we'll start with you and Krista. Definitely want your but been a lot of feedback about V. Sphere seven. Of course, One of the big pieces of that is how, you know, cloud native container ization kubernetes It can be pulled into the, you know, the virtualization platform. So we're talking a lot about vcf Lee. That's the you know. Wait. Get it. The community's piece today. Tell us a little bit about that and what you hear from customers. And then Chris, I'd like to understand how that fits into the HP offering. >>Yeah, you know, the data we have shows that 95% of new applications are being developed on containers. Why? Because it's the speed of ill. And so at VM Ware, we've re architected V sphere for the first time that, you know in the last five years. And you look carefully at what the EMR integrates into the hyper visor because that's what we believe is going to be really benefiting from performance efficiency and management. And so we've integrated kubernetes directly into the hyper visor itself and then to our Tom's, a portfolio. Introduce an upstream compatible kubernetes development environment so that we have developer ready infrastructure. And that's really important because at the speed of new applications, basically you need to be able to respond quickly to those and what VM Ware has always offered right, which is a resilient underlying infrastructure with an intrinsic security model built in conceptually important when containers are being spun up more quickly. All right, mark quickly. They're being portable and portable across the hybrid cloud. Those models right mean that you need and convince you get value right from this integrated model that leverages all of the experience and knowledge that people have around how to run V Center and V Sphere so really exciting, and it's available in VCF for with >>I actually see the interest. I see customers asking about an enquiring about it. Vikan, you know, definitely second everything that we just said. I think you're really you're going to see a really fast transition over because there's so much value. Add it in. >>Excellent. Okay, Crystal, while I've got you on the compute piece, you know, legally said that 95% of application new applications are being built on container ization. How has that impacted architecture, er and how you're working with? >>Yeah. So what I find is that customers are very interested in containers. What we're doing is we're helping them from a services standpoint. A consulting standpoint of many of these customers are adopting for the first time trying to figure out how they could they could leverage containers in their environment. From our standpoint, it's making sure that we have the right platforms and we're advising and consulting and helping customers get there. >>Excellent, Lee. You know, Kristen talked about a sense and under one wondering if you've got any customer examples you like to share? >>Yeah. Great. One is ah, portion. I love the portion example. Just because portion, just the epitome of speed. And so the idea of this flexibility well, you're finding rate is the flexibility, right? Starting from, let's say, from a synergy, I'm flexible on the part of their allocation, right? And then, with VCF right now being able to be flexible across the hybrid cloud and now with VCF or with ponzu, the flexibility of introducing new modern applications support on Finally Layer and Green Lake On top of that which which is also using it, gives you this idea that you know, especially in uncertain times. But, you know, regardless, the changing business environment where everyone's responding, toe app, development rushers, timelines and innovation. We've got a really interesting model now for customers to invest responsibly and be able to respond quickly. >>Hm. Excellent. Crystal, I guess. Said the other pieces were at discover any updates on the portfolio expanding the VM solution. That >>Yeah. Yeah. So I'd like to talk a little bit about our pre validated synergy vcf solution stack with built in automation. So we literally got rid of hundreds of that's pre and post employment so we could speed deployment by five times. We were talking to point in hours instead of weeks. So we're really, really excited about that. We're working together to make sure we're making things easier for customers making that journey to a hybrid cloud very, very simple. So we're really happy to have, you know, offer that to customers. >>Great Lee, Any any final words you can share on the partnership? You >>know what I might say? It's right that the pace of innovation from our companies right is so great, Right? That really v vm Ware Cloud Foundation is a way, you know, in our joint effort and joint delivery rate is a way for customers to assimilate all of this innovation. So that day zero, it's guaranteed the work. And that day two, you can lifecycle manage all the individual components from a common sec manager interface. That's the value that we're bringing together today. Is that Listen, you know, putting all this in place conceived, daunting until the VM Ware Cloud Foundation, with synergy with all of the joint value we have basically makes it manageable so that you can go and basically stop looking down it infrastructure. Look up the ass. >>All right. Christine will let you have the final word and final takeaways from HP Discover. >>Okay, sure. Thanks. Together. What we're trying to do is simplify that journey to hybrid cloud. Make sure that customers can innovate faster, provide stable operations and reduce their costs. >>Well, Chris Stanley, thank you so much for joining us. Congratulations on the progress. Looking forward. Toa watching down the road. >>All right, thanks. >>Alright, Stay tuned for lots more coverage from the Cube, HP Discover 2020. Virtual experience on stew Minimum. Thanks for watching. Yeah, >>yeah, yeah, yeah.

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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.

>>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.

>>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.

(upbeat music) >> Everybody, welcome to this special digital presentation where we're tracking the rebirth of Oracle Consulting. And my name is Dave Vellante, and we're here with Aaron Millstone who's the senior vice president of Oracle Consulting. Aaron, thanks for coming on, good to talk to you. >> Dave, appreciate you having me and I like the introduction of a rebirth of Oracle Consulting. >> Well, it really is I mean, you know, you guys have gone from staff augmentation to being much more of a strategic partner and we're going to talk about that. But I want to start with this theme that you have about empowering the autonomous enterprise. Sounds good, you know, nice little marketing tagline. But give us what's behind that, put some meat on the bone? >> Sure, so you know, what we define as autonomous enterprise is really using artificial intelligence, using machine learning and using it to cognitively understand your actual data and processes you're using for your enterprise. And then really embedding that into everything you're doing as a company, and using it to be both drive optimization and costs, and increasing revenue. And I know that's a lot of kind of consulting speak. So, we tend to think about what we've been talking about in terms of what we call tri-modal IT. This is probably the most exciting space that I've really thought through with my team, as we build up a new consulting business, you pull it out, but this is really about pivoting away from the systems of record and the systems of interaction, and really building up the systems of intelligence capabilities that we see all enterprises needing to invest in heavily, if they're not already investing there already. >> Well, I want to talk about a couple of things there. You know, one is that notion of lowering cost or increasing revenue and you're right people say, Oh, yeah, that's consultancy people, but a good consultant digs in and starts peeling the onion. Well, how do you actually make money? You know, where are the inefficiencies in your business? And that's really what you're talking about, and that's what every business wants to know, right? That's the end game, but the how to is really what separates the good consultants from the pack. >> Right right. And we're, you know, again, we're on this journey now, we've been, you mentioned it right. I'm two years into Oracle Consulting. Myself, I spent 23 plus years at Accenture, where I was a managing director with them and part of their North American leadership team. When I came over to Oracle consulting we did, we pivoted from what you called staff augmentation business to a basic set of offerings, which were things that you recognize right migration, services of workloads to cloud or integration or security work or even, step paths for SAS augmentation that we would do, but you know, pretty basic services. We're now pivoting again into sort of two areas infrastructure and transformation, which is really our bold costs take out play, as you just said, and sort of good consultants know how to do that. And really what that is, is we're going and looking at companies that still have traditional data centers, or maybe they've got some things on clouds, and something's still in traditional data centers. And we're coming in, and we're saying there's a business case here, that looks at your total cost of ownership. And we think we can take out between 40 and 65% of your run rate costs, and that's everything from, facilities, fire suppression systems, through to the actual compute cost, through to the labor that's required to do the physical hands on activities in the data center. So, we have that sort of capability and we're pushing customers hard in that space at the moment, and then driving that into a secondary conversation system and by the way, with all these savings, you kind of have to choices. You can pocket the savings, obviously or we would propose that you go into what we're calling the autonomous enterprise space, and really building up your artificial intelligence machine learning capability with centralized capabilities, centralized data, versus letting every line of business, every department do it on their own. >> Now, the other thing a good consultant does is they make the initiative self funding, and that's a win win you keep getting paid, the customer makes money, that's a good thing. But I like the idea, you're starting with the obvious business case of cost, and I think I heard you really attacking OPPEX, labor is obviously big component of that, but it's not just labor, and then you transition if they don't pocket the gain to a gain sharing going forward to look for new revenue. Did I get that I get that right? >> Yeah, you actually got that right. And actually, what I'll tell you too, is I think the labor piece, again, you know, I came from Accenture, Accenture is big outsourcing company, big technology consulting, big strategy consulting. You know, I went in for years and did pitches on outsourcing arrangements which were fundamentally lower cost bodies running in a more effective way. What we're finding or what I'm finding with customer conversations over the last two years at Oracle has been actually I think, data centers are not, there's nothing competitively advantageous about having a data center if you're a company, there is a lot of advantageous. There's an advantage to having cloud and what we're seeing is that companies that might have outsourced their data center are just the lowest cost provider are now considering insourcing or co-sourcing as they pivot the cloud. So the funny thing is actually labor savings is not the big driver of that 40 to 65%, that plays a role of course, that's how you get to the 65%. But even go into the 40% you can get there by insourcing your labor and bringing them in house and recognizing that the speed at which you can operate on your cloud gives you a competitive advantage. >> So this requires a whole new skill set for Oracle, you mentioned, you came in from Accenture where I talked to another number of other folks in Oracle's North America Consulting Operation that came from, brand name firms, we're going to be talking to Deloitte we have and will continue. So there I know, a big part of you talk about the skills transformation that you've affected inside of Oracle Consulting. >> Sure, yeah I mean, it started when I showed up. It was primarily a staff augmentation business in our commercial space in particular, you know, if you need a DBA, here's a DBA. If you need a SAS admin, here's a SAS admin. Here's the hourly rates and quite frankly, very, very talented group of people, very talented, but focused on doing, you know, sort of nuts and bolts level work, very deep work on the Oracle technology stack, but also weren't particularly cloud certified. So we started by focusing on getting the team certified in our cloud products, invested a ton of hours, thousands and thousands of hours in training. It takes you know, we're doing something like six months investment initially to get people up and certified on multiple cloud products that Oracle is selling. And then right from there, we started putting together our basic offerings, again moved from staff augmentation to saying, look, would you like to move a workload. To move a workload is going to cost a fixed price, whatever that is 100, $200,000 move away from rate card conversations with augmentation. And we shifted the commercial contracts that had payments based on outcomes so they don't move successfully, there's no payment. And so you know that was really the focus. >> I'm going to come back to this notion of gain sharing and particularly focus on the revenue side for a moment. You mentioned a what I'll call a buzzword tri-modal IT and a buzzword because Gartner kind of with bimodal IT popularized that concept. And I think part of the problem that people had with bimodal IT was kind of had the legacy systems of record and then you had all the new cool stuff, the big data and you know now AI and systems of engagement and so forth. And everybody wanted to go to the ladder and run away from the former. But now, if I understand tri-model IT, you're talking about bringing machine intelligence to both of those spheres such that people can stay current, stay relevant and add new value to their organization. >> Yeah, that's exactly it. And we're trying to bring it to both but we're trying to make it its own sphere, independent of the other two. So, again, as we looked at this consulting evolution, I didn't come over to Oracle and Oracle is not interested in us, creating a consulting business, that's a me too consulting business that kind of looks like whatever everyone else is doing. So the goal really was okay. So if we started with sort of staff augmentation, and you know, really Oracle's legacy, a system of record stuff, we sell big back office systems, we have mission critical databases. Like it's the clunky stuff that has to work, but really at the end of the day, that's our heritage, going over to the systems of interaction which is, where the bimodal IT really came in from Gartner. That's a pretty saturated place, so again, coming from the background, I had a consulting, I looked at all the eight design agencies that were out there that were all selling digital, and we looked at the digital sales tactics going on, we're like, well, that's pretty saturated, it's not really a smart place for us to go make a lot of headway into. And so we looked and said, well really, the next layer, the next evolution of IT is this third sphere systems of intelligence. And really, since Oracle is, our heritage is mission critical and data, fundamentally, the logical step for us was to go okay, systems intelligence are powered by data, and they serve artificial intelligence as the primary consumer. So again, our thought process was you have a system of record which is process centric and really geared towards the CFO or a head of HR, you have systems of interaction, which is really geared towards the users, it's trying to make business frictionless. Those users can be consumers, they can be employees, whomever. And then systems intelligence is around artificial intelligence is the primary consumer of it. I mean really pivoting to that, and then making that something that is pervasive and structurally place across both those other two spheres, really felt like where we should be differentiating. When I brought in the talent rate that we looked to bring in, we were getting kind of affirmation that, yeah, the best talent in the market was starting to see this trend and so we kind of knew we were onto something there. >> Yeah, I mean, that makes a lot of sense, because as you as you point out, some of those new workloads, many of them are very consumer oriented, that's kind of you know, not your wheelhouse. I mean, that's your customers are, selling to consumers, but Oracle's B2B, hardcore data mission critical. But let me ask you, to that make sets, but by your cloud, you were sort of a later entrant into cloud. So where does cloud fit into this? How do you respond to when customers say, yeah, but you know, you guys were late on the cloud. >> Yeah, we are definitely late coming to cloud, like there's no two ways about it. I mean, what we've got is we have what we call a Generation 2 Cloud. And I jokingly tell customers that we have a late mover advantage. And that late mover advantage basically means that we've looked at what the first generation clouds have done. And quite frankly, they're great at what they do, they're fierce competitors, they're tough to compete with, they've got a lot of mindshare, but they fundamentally were about targeting consumers, or targeting enterprise collaboration tools, so if you want cat videos, if you want to watch humorous videos that people filmed and posted on social media, those are great clouds for that stuff. But if you want really mission critical enterprise cloud workloads, that's where we come into play. And so when you start to look at really the key differentiators in our cloud and through out, at least this is how I describe it to customers. So, we look at sort of three layers, we have an autonomous capability both on our operating system and our database. What that basically means is that we have machine learning and artificial intelligence that's driving the key, administrative activities in our cloud, we then have our Exadata platform. So Exadata for us is a secret weapon, we think that it is a differentiator in our products. And so, Exadata for those watching that doesn't know what it is, so Exadata emerged out of the Sun acquisition that Oracle did. It is purpose built hardware that is engineered for our software products, specifically our databases. And now we've taken that concept and moved it into our cloud and so customers can come in and take very intensive enterprise, mission critical workloads, run them straight in our cloud. And then, when we look at the last point, it's probably security where, again, we have total segmentation of our security layers from the customer workloads. So again, we've taken the concepts that first generation cloud providers have implemented, and they've scaled it globally. So it's really tough for them to walk back on it, it's a huge investment and we're now gone into a Generation 2 Cloud and quite frankly, I think that's what this is the frontier that everyone's racing to kind of grab. >> You know, we actually in our community, talk to a lot of Exadata customers and they get very intense, they do some really hardcore things with with Exadata. To me, the key to your cloud strategy, and specifically Exadata is you've got the same exact infrastructure, control plane, data plane, software, either on prem or in the cloud. So that's your same same narrative. But the real key, new key anyway is what autonomous, tell me if you agree with this. What autonomous gives you a scale, because as you say, you're related to cloud, you're not a hyper scalar in that sense, you're not selling just, race to the bottom infrastructure as a service. You're bringing applications and mission critical applications, so eponymous gives you the ability to scale and compete more effectively with some of those other, earlier movers. You buy that? >> Yeah, absolutely. So scaling and scaling in terms of, what has been historically human activities, when I say human activities, we're not replacing the humans, we're making some of the human activities that were highly repetitive way more efficient. So easy example I can give you is patching. Like security(mumbles) bases are very time consuming, I've talked to customers as recently as a couple weeks ago, that are three years behind on their patching. And when I look at that, it's you're like, why wouldn't you consider autonomous, they have their board of directors and their auditors are actually now demanding that they do something different about their patching problems. And they're talking about, man months, people months of trying to roll out this patching, and they're worried about breaking stuff, and they're worried about human error. Like when you look at something like autonomous, that patching would take place, pretty much instantaneous with no downtime. And we've seen it in our own cloud and our own services internally and we're able to patch, thousands and thousands of cores very, very quickly. >> So we got to wrap but I wanted to close on sort of the, I mean, again, we talked about good consultants and good consultants have continuous improvement mindset. They got a North star that they really never get through and that keeps moving because you got to keep innovating, you got to keep disrupting yourself, so maybe you could end by sort of talking about some of the things you're watching, some of the milestones you want to hit and some of that transformation that you want to keep going. How are you going to achieve that? >> Yeah, and it will skip some of it, when we hit the Deloitte segment too, but like we're definitely we've moved from, we've definitely move from the staff augmentation to basic offerings. We're now beyond that we're starting to sell the infrastructure lead transformation plays. What's exciting to me about that with our customers is, you know, Oracle's a big complex enterprise, as you'd expect with a company that has a tremendous amount of technology. We're now bringing holistic approaches to our customer say, let us help you optimize everything end to end, let's look at your data center, let's not look at a narrow slice, let's not look at just SAS admins and DBAs, we're looking at things comprehensively. So moving there has been a pretty big milestone for us to hit, we've started to get some good momentum with our customers. Our next milestone is really going to be taking that autonomous enterprise and blowing it out. We're in use case and incubation period right now with that, but again we've got some, I would argue we have the best talent in the world right now that thinks about this stuff and not just thinks about it from a pure technology standpoint, but thinks about how to actually make it effective for the business. And so once we get some of those motions going, like the use case for the autonomous enterprise that's artificial intelligence driven, it should have a continuous pace of change, and it's going to start to evolve in areas that you know, quite frankly, we can't even predict yet. But we're excited to see where it leads. >> Alright, thanks for spending some time with us. I am very excited to talk about that sort of collision course between your deep tech capabilities as Oracle as a product company and this, the Global SI, Deloitte, we're going to bring in those guys in a moment. So thanks very much for taking us through the transformation and great job, good luck. >> Thank you, appreciate it. >> All right, and thank you, everybody for watching. Keep right there, we'll be back with more coverage of Oracle's transformation. Right after the short break, you're watching the CUBE. (upbeat music)

>>from the Silicon Angle Media office in Boston, Massachusetts. It's the Cube now here's your host, Dave Vellante. >>Hello, everyone. And welcome to this breaking analysis. We're here to assess the VM Ware v Sphere seven announcement, which is the general availability of so called Project Pacific. VM Ware has called this the biggest change to V sphere in the last 10 years. Now Project Specific Pacific supports kubernetes and natively in VM Ware environments. Why is this important? This is critical for multi and hybrid cloud because Kubernetes and its surrounding orchestration enable application portability and management. Yeah, as we've been reporting, VM Ware is one of the big players eyeing multi cloud, along with a crowded field of aspirants that include IBM with Red hat, Microsoft, Cisco, Google and a host of specialists in the ecosystem. Like how she and rancher as well play. Some players have focused in their respective stack swim lanes like security and data protection, storage, networking, etcetera. And with me to dig into this announcement is stew. Minutemen's Do is a senior analyst at Wiki Bond and co host of The Cube is too good to see you and let's get into it great to talk about this state. Okay, so the Sphere seven, what is being announced? And why is it relevant? >>Yes. So, David, as you said in the open, this is the general availability of what they talked about at VM World 2019 as Project Pacific. So it really is integrating kubernetes into V sphere. The VM ware, of course, will position this is that they're now enabling, you know, the 90% of the data centers around the world that have VM ware. Hey, your kubernetes enabled. Congratulations. You're cloud native. Everything like that. Only being a little facetious here. But this is very important. How do we get from where we were to live in this more cloud? Native environments. So containers in general and kubernetes specifically are being a first class citizen. There's a lot of work, Dave, and my understanding this has been going on for a number of years. You know, it's not like they just started working at this six months ago. A overhaul to how this works. Because it's not just we're going to stick a couple of containers on top of, you know, the guest operating system in the virtual machine. But there is a supervisor cluster for kubernetes at the hyper visor level. And there's a lot of, you know, in the weeds things that we're all trying to understand and figure out because you've got you know, we've got a hyper visor and you've got VM. And now you've got the containers and kubernetes on. Some of them are living in my data center. Some VM ware, of course, lives on multiple clouds like the VM ware on AWS. Solutions of this will go there on and, you know, how do I manage that? How does this impact my operations? You know, how did this change my application portfolio? Because, you know, the early value proposition for VM Ware always was. Hey, you're gonna put VM ware on there. You don't need to touch your applications. Everything runs like it did before you were running windows APS on a physical server. You move into virtual. It's all great. There's a lot of nuance and complexity. So when VM Ware says this is the biggest change in a decade probably is, I think back to you know, I remember when the fx 2.0, rolled out in V motion really changed the landscape. That was big V balls. Move to really ah storage. To really understand that architecture and really fix storage was was a huge undertaking that took many years. This this definitely stacks up with some of those previous changes to really change the way that we think about VM Ware. I think the advertising you have even seen from being where some places is don't think of them as VM ware their cloud where our container ware with like because vm zehr still there. But VM Ware is much more than VMS today, >>so this feels like it's bm were trying to maintain its relevance in a cloud native world and really solidify its because, let's face it, VM Ware is a platform that Pat Gelsinger's has ride. The Waves tried many times in many angles to try to ride the cloud wave, and it's finally settled on the partnerships with AWS specifically. But others on DSO really Is this their attempt to become cloud native, not get left behind and be cloud naive? His many say >>Yeah, great question, David. Absolutely. There's the question as to you know what's happening with my applications, you know lots of customers. They say, Well, I'm just going to satisfy the environments. Watched the huge growth of companies like service now workday. Those applications, well, customers don't even know what they live on. Do they live on virtualization? Environment is a containers I don't need to worry about because SAS takes care of that. If I'm building modern applications, well, I'm probably not starting with VMS. Containers are the way that most people are doing that. Or they might even be going serverless now if we take these environments. So how does VM ware make sure that they have the broadest application support? Kubernetes really won the container orchestration wars on. And this is a way that VM ware now can enable customers to move down that path to modernize their environments on. And what they wanna have is really some consistency between what's happening in the cloud and happening in the environments that they control >>themselves. Vm ware saying that containers in our first class citizen within v sphere what does that mean? Why is that important? First of all, are they really And what does that mean? And why is that important? >>Yes. So, Dave, my understanding is, you know, absolutely. It's their, You know, the nuances that you will put there is. You know, we're not just running bare metal servers with Lennox and running containers on top of it. It is. You're still sitting on top of the hyper visors. One of the things I'm trying to understand when you dig down is you know what? The device driver level VM ware always looked a little bit like Linux. But the people that use it and operate it, they're not letting people Dave, these, you know, the OS. The number one os that always ran on VM ware was Windows and the traditional applications that ran there. So when we talk about containers and we're enabling that in a kubernetes environment, there are some questions about how do we make sure that my applications get certified? Dave, you got a lot of history knowing things like s ap and Oracle. I need to make sure that we've tested everything in this works. This is not what we were running traditionally in VM ware and VM ware. Just thanks. Hey, v Sphere seven, turn the crank. Everything certified Well, I would tell customers make sure you understand that your application has been tested, that your Eyes V has certified this environment because this is definitely, as VM Ware says, a huge architectural change. So therefore, there's some ripple effects to make sure that what I'm doing in this environment stays fully supported. Of course, I'm sure VM Ware is working with their huge ecosystem to make sure that all the pieces or environment you mentioned things like data protection. We absolutely know that VM Ware is making sure the day one the data protection plugs in and supported in these environments when you're using the kind of kubernetes persona or containers solutions in V sphere. >>Well, this brings me to my next question. I mean, we were talking to Bernard Golden the other day and he was saying, You know, Kubernetes is necessary for multi cloud, but it's insufficient. And so this seems to me to be a first step and, as I say, VM ware maintaining and growing its relevance. But there's gonna be a roadmap here that goes beyond just containers and portability. There's other management factors you mentioned security of enabling the ecosystem to plug in. So maybe talk about that a little bit in terms of what's necessary to really build this out over the next >>decade. And actually, it's a great point. So, first of all, you know, V. Sphere, of course, is the core of VM Ware's business. But there's only a piece of the overall portfolio said this lives in. I believe they would consider this part of what they call their Tansu family. Tando is their cloud native overarching piece of it, and one of the updates is their product hands admission control. Which of the existing product really came out of the Hep D Oh acquisition is how we can really manage any kubernetes anywhere, and this is pure software. Dave. I'm sure you saw the most recent earnings announcement from VM Ware, and you know what's going sass. What's going subscription? VM Ware is trying to build out some of their software portfolio that that isn't kind of the more traditional shrink wrap software, so Tan Xue can manage any kubernetes environment. So, of course, day one Hey, obviously or seven, it's a kubernetes distribution. Absolutely. It's going to manage this environment and but also if I've got Cooper days from azure kubernetes from Amazon communities from other environment. Tanja can manage across all of those environments. So when when you're what VM Ware has always done. If you think back in the early days of virtualization, I had a lot of different servers. How do I manage across those environments? Well, VM ware was a layer that lived across them. VM Ware is trying to do the same thing in the cloud. Talk about multi cloud. And how do I manage that? How do we get value across them? Well, there's certain pieces that you know VM Ware is looking to enable with their management software to go across them. But there are a lot of other companies, you know, Amazon Google actually not Amazon yet for multi cloud. But Microsoft and Google absolutely spent a lot of time talking about that in the last year. A swell as you mentioned. Companies like Rancher and Hashi Corp absolutely play across What Lots of these multi cloud. Well, >>let's talk about the competition. Who do you see is the number one competitors >>Well, so the number one competitor absolutely has to be red hat, Dave. So you know, when I've been in the kubernetes ecosystem for a number of years for many years. When I talk to practitioners, the number one, you know what kubernetes you're using? Well, the answer for many years was, Well, I'm grabbing it, you know, the open source and I'm building my own stack. And the reason customers did that was because there wasn't necessarily maturity, and this was kind of leading edge, bleeding edge customers in this space. The number two besides build my own was Red Hat was because I'm a red hat customer, a lot of Lennox tooling the way of building things the way my application developers do. Things fit in that environment. And therefore, that's why Red Hat has over 2000 open shift customers leading distribution for Kubernetes. And you know, this seems purely directly targeted at that market. That red hat did you know it was a big reason why IBM spent $34 billion on the Red Hat acquisition is to go after this multi cloud opportunity. So you know, absolutely this shot across the bow because Red Hat is a partner of VM Ware's, but absolutely is also a competitive >>Well, Maritz told me years ago that's true. We're with everybody and you could see that playing out. What if you look at what VM Ware could do and some of their options if they gave it away, that would really be a shot across the bow at open shift, wouldn't it? >>Yeah, absolutely, Dave, because kubernetes is not free if you're enabling kubernetes on my Google environment, I, you know, just within the last week's awesome things that were like, Okay, wait. If you're testing an environment, yes, it is free. But, you know, started talking about the hourly charges for the management layer of kubernetes. So you know kubernetes again. A color friend, Cory Quinn. Communities absolutely is not free, and he will give you an earful and his thoughts on it s o in Amazon or Google. And absolutely, Dave, it's an important revenue stream for red hat. So if I'm vm ware and you know, maybe for some period of time, you make it a line item, it's part of my l. A. You know, a good thing for customers to look out for is when you're renegotiating your l a toe, understand? If you're going to use this, what is the impact? Because absolutely, you know, from a financial standpoint, you know, Pat Gelsinger on the VM Ware team has been doing a lot of acquisitions. Many of those Dave have been targeted at this space. You know, not to step Geo, but a bit NAMI. And even the pivotal acquisition all fit in this environment. So they've spent billions of dollars. It shouldn't be a net zero revenue to the top line of what VM Ware is doing in the space. >>So that would be an issue from Wall Street's perspective. But at the same time, it's again, they're playing the long game here. Do we have any pricing data at this point? >>So I still have not gotten clear data as to how they're doing pricing now. >>Okay, Um, and others that are in there and in the mix. We talked about Red Hat. Certainly Microsoft is in there with Arc. I've mentioned many times Cisco coming at this from a networking perspective. But who else do you see and then Antos with Google? >>Yeah. And you know, Dave, all the companies we're talking about here, you know, Pat Gelsinger has had to leverage his intel experience to how to balance that line between a partner with everybody but slowly competing against everybody. So, you know, we've spent many hours talking about the VM Ware Amazon relationship. Amazon does not admit the multi cloud a solution yet and does not have a management tool for supporting all of the kubernetes environment. But absolutely Microsoft and Google do. Cisco has strong partnerships with all the cloud environment and is doing that hybrid solution and Dave Justice nothingto expand on a little bit there. If you talk about V sphere, you say, Okay, Visa or seven trolling out Well, how long will it take most of the customer base to roll to this environment? There will be some that absolutely want to take advantage of kubernetes and will go there. But we know that is typically a multi year process to get most of the install base over onto this. And if you extend that out to where VM Ware is putting their solution into cloud environments, there's that tension between, you know, Is there a match actually, between what I have in my data center and what is in the managed environment managed by VM Ware and Amazon, or manage for to support some of the other cloud environment. So the positioning always is that you're going to do VM Ware everywhere, and therefore it's going to be consistent everywhere. Well, the devil's in the details because I have control on what's in my data center, and I might have a little bit less control to some of those managed services that I'm consuming. So absolutely something to keep a close eye on. And not just for VM, where everybody is having these concerns. Even if you talk about the native kubernetes distributions, most of the kubernetes services from the cloud providers are not, you know, immediately on the latest revision of kubernetes, >>right, So Okay, well, let's let's talk about that. Remember when open Stack first came out? It was a Hail Mary against Amazon. Yeah, well, the new Hail Mary and looks like it has more teeth is kubernetes right, because it allows portability and and and of course, you know Amazon doesn't publicly say this, but it's not. That's not good for Amazon. If you're reporting things, applications, moving things around, moving them out of the Amazon cloud, and that makes it easier. Of course, Amazon does support kubernetes right, But you've got >>alternatives. So, David, it's fascinating. So I've talked to many practitioners that have deployed kubernetes and one of the top reasons that they say that why they're using Kubernetes is so they have options with the cloud. When you also ask them what cloud they're running, they're running Amazon. Did they have planned to move off of it? Well, probably not. I had a great customer that I didn't interview with that one of the Cube con shows, and they actually started out with Azure just because it was a little further head with kubernetes and then for the services they wanted. They ended up moving to AWS and Dave. It's not a click a button and you move from one kubernetes to another. You need toe match up and say, Okay, here's the five or six services I'm using. What are the equivalent? What changes do I need to make? Multi cloud is not simple. Today, I mentioned Hashi Corp is one of those companies that help people across these environments. If you have haji solution and you're managing across multiple clouds, you look in the code and you understand that there's a lot of difference between those different clouds, and they simplify that. But don't eliminate it. Just it is not. There is not a way today. This is not a utility when you talk about the public cloud. So you know Kubernetes absolutely is existentially a little bit of a threat to Amazon but Amazon still going strong in that space. And you know that the majority of customers that have deployed kubernetes in the public cloud are doing it on Amazon just because of their position in the marketplace and what they're. >>So let's double click on that. So Jassy, an exclusive interview with John Furrier before last year's re invent, said, Look, we understand there's a lot of reasons why people might choose multiple clouds, you know, go through them in a developer preference. And I think I think, you know, people want o optionality and reduce lock in potentially. But I've always said, by the way, just as an aside, that that the risk of lock in it is far down on the list relative to business value, people will choose business value over over, you know, no lock in every time. About 15% of the customers you might not agree. Nonetheless, Jassy claimed that typically when you get into a multiple cloud environment, he didn't use the term multi cloud that it's it's not a 50 50. It's a premier primary cloud supplier. So might be 70 30 or 80 20 or even 90 10. But it's really that kind of, you know, imbalance. First of all, do you see that? And then what does that mean for how they approach of this space? Multi cloud and in particular. >>So I'm sorry. You're asking how Amazon should approach the space. And you've said that I don't think they'll >>eventually enter this market place. >>Yeah, you know, absolutely, Dave. You know, first of all, in general, yes, I do agree. It is not. There are certain financial companies that, you know, have always chosen two of everything. Because for regulation and you know certain we need to protect ourselves. We're gonna have to suppliers. We're going to keep them as even as possible. But that is a corner case. Most customers I have a primary cloud. That's what I'm doing. That what I t tries to get everybody on and you need to have Is there a reason why you want to use a secondary or tertiary cloud because there's a service that they need. Of course, Google. You often run it. It's like, Oh, well, there's certain data services that they're doing well And, of course, the business productivity solutions that Microsoft's doing where the relationship with Oracle that are driving people towards Microsoft. But just as we saw Amazon soften on their hybrid solutions, we spent a lot of time at re invent talking about all the various hybrid solutions. Um, since their customers are going to have multiple clouds on and even you take most of their customers that have M and a involved you buy another company, they might be using another cloud. As Microsoft's position in the marketplace has grown, you would expect that Amazon would have not just migration services but management services to match what customers need, especially in this kubernetes environment, seems that it seems a natural fit for them. It's possible they might just leverage, you know, partnerships with red hat VM ware, you know, in some of the other players for the time being. But if the market gets big enough and customers are asking for it, that's usually when Amazon response >>So let's let's wrap with what this means to the customer. And I've said that last decade really multi cloud was a symptom of multi vendor and not so much of the strategy that's changing. You know, clearly, jokes CIOs are being called in to clean up the crime scene on do you know, put in edicts corporate edicts around security and governance and compliance and so forth. So it started to become a complicated situation for a lot of companies. We've said that multi cloud is gonna it's gonna be they're going. People are going to put the right war load and the right cloud, etcetera, and this advantages to certain clouds. But what should customers be thinking specifically as it relates to v. Sphere seven? >>Yes. So, Dave, the biggest thing I would say that people need to look at it is that understanding in your organization that that boundary and line between infrastructure and application people have often looked at you looked at the ascendancy of VM Ware, Andi V. M's and then what's happening with cloud and containers. And we think of it from an infrastructure standpoint that I'm just changing the underlying pieces. This is where it lives and where I put things. But the really important thing is it's about my data and my applications, Dave. So if I'm moving an application to a new environment, how do I take advantage of it? You know, we don't just move it to a new environment and run it the same way we were doing it. I need to take advantage of those new environments. Kubernetes is involved in infrastructure, but the real piece is how I have my application, my developers, my app. Dev's working on this environment and therefore it might be that if VM Ware's the right environment, I'm doing a lot of it that the development team says, Hey, I need you to give me a pool and provisioned this for me and I can have my sandbox where I can move really fast. But VM Ware helped initially customers when they went from physical to virtual, move faster. From an infrastructure standpoint, what it needs to do to really enable this environment is help me move faster on the application side. And that's a big gap from VM. Ware's history is where the pivotal people and hefty O people and bit NAMI and all the new people are helping along to help that whole cloud native team. But that is a big shift from customers. So for this to be successful, it's not just, oh, the virtualization admin. He upgraded to the new thing. He made some changes and said, Okay, hey, I can give you a kubernetes cluster when you need it. It's really understanding what's going to happen on the application side in a lot of that is going to be very similar to what you're doing in cloud environments. And I think this is Dave often where your customers, they say, Oh, well, I did that cloud and it was too expensive and it was too hard, and I repatriated. Everything else is, well, you probably didn't plan properly and you didn't understand what you're getting yourself into. And you jumped into the deep end of the pool and oh, wait, I forgot how to learn how to swim. So you know, that is where we are. You know, Dave, you know the technology parts. Always the easiest piece. It's getting all of the organizational and political things sorted out. And you know the developer we know how important that is, we're seeing. It's great to see VM Ware pushing faster in this environment. Kudos to them for how fast they moved. Project Pacific to G. A. That is really impressive to see and can't wait to hear the customers roll out because if this is successful, we should be hearing great transformation stories from customers as to how this is enabling their business, enabling them to move faster on. You know, that has been what, one of the favorite stories that I've been telling with customers on the Cube last couple of years. >>The vast majority of VM Ware's business, of course, is on print, and essentially they're doing here is enabling developers in their customer base and the half a 1,000,000 customers to really develop in a cloud native manner. The question is, you know, from a ah, from a cultural standpoint, is that actually gonna happen? Or the developers gonna reject the organ and say, No, I want to develop in AWS or Microsoft in the cloud. I think VM Ware would say, We're trying to embrace no matter where they want to develop, but they're still going to be. That's interesting organizational tension or developer attention in terms of what their primary choices is. They're not. >>Yeah, Dave, Absolutely. We've been saying for years. That cloud is not a location. It is an operating model. So this is helping to enable that operating model more in the data center. There's still questions and concerns, of course around, you know, consumption on demand versus you know, whether whether you've bought the entire thing as more and more services become available in the public cloud, are those actually enabled to be able to be used, you know, in my data center hosted environment. So you know, this story is not completed, but we're definitely ready. I believe we're saying it's the multi clouds Chapter three of what? We've been watching >>you and you're seeing a major tam expansion yet again from VM Ware that started with the NSX. And then, of course, went in tow networking and storage. And now they've got a cloud security division. We're talking about the the cloud native capabilities here and and on and on, it goes to thanks for helping us break this VC seven announcement down and good job fixed. All right. And thank you for watching everybody. This is Dave Volante for stew Minimum. We'll see you next time on the Cube. >>Yeah,

>>from San Francisco. It's the queue every day to thank you. Brought to you by day to like you. Hey, >>welcome back already, Jeffrey. Here with the Cube were a day to IQ's headquarters in downtown San Francisco. They used to be metal sphere, which is what you might know them as. And they've rebranded earlier this year. And they're really talking about helping Enterprises in their journey to cloud native. And we're really excited to have really one of the product guys he's been here and seeing this journey and how through with the customers and helping the company transforming his Chandler hosing tonight. He's the s VP of engineering and product. Chandler, great to see you. Thanks. So, first off, give everyone kind of a background on on the day to like you. I think a lot of people knew mesosphere. You guys around making noise? What kind of changed in the marketplace to to do a rebranding? >>Sure. Yeah, we've been obviously, Mason's here in the past and may so so I think a lot of people watching the cube knows No, no one knows about Mace ose as as we were going along our journey as a company. We noticed that a lot of people are also asking for carbonates. Eso We've actually been working with kubernetes since I don't know 16 4017 something that for a while now and as Maur Maur as communities ecosystem starting involving mature more. We also want to jump in and take advantage of that. And we started building some products that were specific to kubernetes and eso. We thought, Look, you know, it's a little bit confusing for people May, SOS and Kubernetes and at times those two technologies were seen almost as competitive, even though we didn't always see it that way. The market saw it that way, so we said, Look, this is going too confusing for customers being called Mesa Sphere. Let's let's rebrand around Maur what we really do. And we felt like what we do is not just focus around one specific technology. We felt like we helped customers with more than that more than just may so support more than just community support, Andi said. Look, let's let's get us a name that shows what we actually do for customers, and that's really helping them take their workloads and put them on on Not just, you know, um, a source platform, but actually take their workloads, bring them into production and enterprise way. That's really ready for day two. And that's that's why we called it data. >>And let's unpack the day to, cause I think some people are really familiar with the concept of day two. And for some people, they probably never heard it. But it's a pretty interesting concept, and I think it packs a lot of meaning in it. A number of letters. I think you >>can kind of just think about it if you were writing software, right? I mean, Day zero is okay. We're gonna design it. We're gonna start playing with some ideas. We're gonna pull into different technologies. We're gonna do a POC. We're gonna build our skateboards. So to say, that's kind of your day. Zero. What do we want? Okay, we're gonna build a Data Analytics pipeline. We want spark. We're going to store data. Cassandra, we're gonna use cough. Go to pass it around. We're gonna run our containers on top of communities. That's just kind of your day. Zero idea. You get it working, you slap it on a cluster. Things are good right? Day one might be okay. Let's actually do a beta put in production in some kind of way. You start getting customers using it. But now, in Day two, after all that's done, you're like, Wait a second. Things were going wrong. Where's our monitoring? We didn't set that up. Where's our logging? Oh, I don't know. Like, >>who do we >>call this? Our container Run time, we think has above. Who do we call like? Oh, I don't know What support contract that we cut, Right? So that's the things that we want to help customers with. We want to help them in the whole journey, getting to Day two. But once they're there, we want them to be ready for day two, right? And that's what we do. >>I love it because one of my favorite quotes I've used it 1000 times. I'll do 2001 right? Is that open source is free like a puppy. Exactly for you. When you leave you guys, you're not writing a check necessarily to the to the shelter, But there's a whole lot of other check. You got a right and take care of. And I think that's such a key piece. Thio Enterprise, right. They need somebody to call when that thing breaks. >>Yeah. I mean, I haven't come from enterprise company. I was actually a customer basis Fear before I joined. Yeah, that's exactly why we're customers that we wanted. Not only that, insurance policy, but someone that partner with us as we start figuring this out, you know? I mean, just picking. You know what container run time do I want to use with communities? That one decision could take months if you're not familiar with it. And you you put a couple of your best architects on it. Go research container. You go research, cryo go research doctor. Tell me what's what's the best one we should use with kubernetes. Whereas if you're going, if you have a partnership with a company like day two, you can say, Look, I trust these. You know this company, they they're they're experts of this and they see a lot of this. Let's go with their recommendation. It's >>okay. So you got you got your white board. You've got a whole bunch of open source things going on, right? And you've got a whole bunch of initiatives and the pressure's coming down from from on high to get going, you've got containers, Asian and Cloud native and hybrid Cloud all the stuff. And then you've got some port CEO on his team trying to figure it out. You guys have a whole plethora of service is around some of these products. So as you try it and then you got the journey right and you don't start from from a standing start. You gotta go. You gotta go. So how do you map out the combination of how people progress through their journey? What are the different types of systems that they want to put in place and into, prioritize and have some type of a logical successful implementation and roll out of these things from day zero day 132? No, it's >>a great question. I think that's actually how we formed our product. Strategy is we've been doing this for a while now and we've we've gone. We've gone on this journey with really big advanced customers like ride sharing companies and large telcos customers like that. We've also gone on this journey with smaller, less sophisticated customers like, you know, industrial customers from the Midwest. Right? And those are two very, very different customers. But what's similar is they're both going on the same journey we feel like, but they're just at different places. So we wanted to build products, find the customer where they're at in their journey, and the way we see it really is just at the very beginning. It's just training, right? So we have, ah, bunch of support. We're sorry. Service is around training. Help you understand? Not just kubernetes, but the whole cloud native ecosystem. So what is all this stuff? How does it work? How does it fit together? How do I just deploy simple app to right? That's the beginning of it. We also have some products in that area as well, to help people scale their training across the whole whole organization. So that's really exciting for us once once, once that customer has their training down there like Okay, look, get I need a cluster now, like I need a destroyer of sorts and criminals itself is great, but it needs a lot of pieces to actually get it ready for prime time. And that's where we build a product called Convoy Say Okay, here is your enterprise great. Ready to go kubernetes destro right out of the box. And that product is really it's what you could use to just fiddle around with communities. It's also what you put into production right on the game. That's that's been scale tested, security tests and mixed workload tested. It's everything. So that's that's kind of our communities. Destro. So you've gotten your training. You have your destro and now you're like, OK, I actually wanna want to run some applesauce. >>Let me hold there. Is it Is it open corps? Or, you know, there's a lot of conversation in the way the boys actually >>the way we built convoy. It's a great question. The way we build convoys said, Okay, we don't We want to pick the best of breed from each of these. Have you seen the cloud native ecosystem kind of like >>by charter, high charter, whatever it is, where they have all the logos and all the different spiral thing. So it's crazy. Got thousands of logos, right? And >>we said, Look, we're gonna navigate this for you. What's the best container run time to pick. And it's It's almost as if we were gonna build this for ourselves using all open source technology. So convoys completely opens. Okay, um, there's some special sauce that we put in on how to bring these things together. Install it. But all the actual components itself is open source. Okay, so that's so if you're a customer, you're like, OK, I want open source. I don't want to be tied to any specific vendor. I want to run on Lee open. So >>yeah, I was just thinking in terms of you know, how Duke is a reference right. And you had, you know, the Horton worst cloud there and map our strategies, which were radically different in the way they actually packaged told a dupe under the covers. Yeah, >>you can think of it similar. How Cloudera per ship, Possibly where they had cdh. And they brought in a lot of open source. But they also had a lot of proprietary components to see th and what we've tried to get away from it is tying someone in tow. Us. I know that sounds counterintuitive from a business perspective, but we don't want customers to feel like if I go with D to like you. I always have to go with me to like you. I have to drink the Kool Aid, and I'm never gonna be able to get off. >>Kind of not. Doesn't really go with the open source. Exactly this stuff. It's not >>right for our customers, right? A lot of our customers want that optionality, and they don't want to feel locked in. And so when we built convoy, he said, Look, you know, if we were to start our own company, not not an infrastructure coming that we are right now, but just a software company build any kind of ab How would we approach it? And that was one of the problems we saw for We don't wanna feel like we're tied into any. >>Right. Okay, so you got to get the training, you got the products. What's >>next? What's next is if you think about the journey, you're like, OK, a lot. What we've found and this may or may not be totally true is one of the first things people like to run on committees is actually they're builds. So see, I see. And we said, How can we help with this. We looked around the market and there's a lot of great see, I see products out there right now. There's get lab, which is great partner of ours. It's a great product. There's there's your older products. Like Jenkins. There's a bunch of sass products, Travis. See all these things. But what we we wanted to do if we were customers of our own products is something that was native to Kubernetes. And so we started looking at projects like tectonic and proud. Some of these projects, right? And we said, How can we do the same thing we did with convoy where we bring these projects together and make it easy for someone to adopt these kubernetes native. See, I see tools. And we did some stuff there that we think is pretty innovative as well. And that's what that's the product we call dispatch. >>Okay. What do you got? More than just products. You've got profession service. That's right. So now >>you need help setting all this up. How do you actually bring your legacy applications to this new platform? How do you get your legacy builds onto these new build systems That that's where our service is coming the plate and kind of steer you through this whole journey. Lastly, what we next in the journey, though? Those service's compliment Really? Well, with with the kind of the rest of the product suite, right? And we didn't just stop with C i c. He said, what is the next type of work that we want to run here? Okay, so there we looked at things like red hat operators. Right? And we said, Look, red hats doing really cool thing here with this operator framework, how can we simplify it? We learn we've done a lot of this before with D. C. O s, where we built what we called the DCS sdk to help people bring advanced complex workloads onto that platform. And we saw a lot of similarities with operators to our d c West sdk. We said, How can we bring some of our understanding and knowledge to that world? And we built this open source product called kudo. Okay, people are free to go check that out. And that's how we bring more advanced workload. So if you think about the journey back to the journey again, you got some training you have your have your cluster, you put your builds on it. Now you want to run some advance work logs? That's where Kudo comes. >>Okay? And then finally, at the end of the trail is 1 800 I need help. Well, almost into the trail. We're not there yet. There was one thing they're still moving with one more step right on >>the very last one. Actually, we said, Okay, what's next in this journey? And that's running multiple clusters of the same. Okay, so that's kind of the scale. That's the end of the journey from for us, for our proxy as it stands right now. And that's where you build a product called Commander. And that's really helping us launch and manage multiple >>companies clusters at the same time. >>So it's so great that you have the perspective of a customer and you bring that directly in two. You know what you want because you just have gone through this this journey. But I'm just curious, you know, if you put your old hat on, you know, kind of c i o your customer. You know, you just talked about the cake chart with Lord knows how many logos? How do you help people even just begin to think about about the choices and about the crazy rapid change in what? That I mean? Kubernetes wasn't a thing four years ago to help them stay on top of it to help them, you know, both kind of have a night to the vision, you know, make sure you're delivering today on not just get completely distracted by every bright, shiny object that happens to come along. Yeah, no, >>I think it's really challenging for the buyers. You know, I think there's a, especially as the industry continues to make sure there's a new concept that gets thrown at all times. Service Manager. You know, some new, cool way to do monitoring or logging right? And you almost feel like a dinosaur. If you're not right on top of these things to go to a conference in, are you using? You know, you know B P f. Yet what is that? You didn't feel right? Exactly. I think I think most importantly, what customers want is the ability what, the ability to move their technology and their platforms as their business has the need. If the need isn't there for the business, and the technology is running well. There shouldn't be a reason to move to a new platform. Our new set of technologies, in fact, with dese us with Mason charities. To us, we have a lot of happy customers that are gonna be moving crib. Amazing if they wanted to anytime soon. Do you see What's that? Something's that criminal is currently doesn't do. It may never do because the community is just not focused on it that DCS is solving. And those customers just want to see that will continue to support them in the journey that they're on with their their business. And I think that's what's most important is just really understanding our customer's understanding their business, understand where they wanna go. What are their goals, So to say, for their technology platforms and and making sure you were always one step ahead >>of them, that's a >>good place to be one step ahead of demand. All right, well, thanks for for taking a few minutes and sharing the story. Appreciate it. Okay. Thank you. All right. Thanks. Chandler. I'm Jeff. You're watching >>the Cube. Where? Day two. I >>Q in downtown San Francisco. Thanks for watching. We'll see you next time