>>Yeah, it's the queue covering the virtual vertical Big Data Conference 2020 Brought to You by vertical. >>Welcome back, everybody. My name is Dave Vellante, and you're watching the Cube's coverage of the verdict of Virtual Big Data conference. The Cube has been at every BTC, and it's our pleasure in these difficult times to be covering BBC as a virtual event. This digital program really excited to have Joy King joining us. Joy is the vice president of product and go to market strategy in particular. And if that weren't enough, he also runs marketing and education curve for him. So, Joe, you're a multi tool players. You've got the technical side and the marketing gene, So welcome to the Cube. You're always a great guest. Love to have you on. >>Thank you so much, David. The pleasure, it really is. >>So I want to get in. You know, we'll have some time. We've been talking about the conference and the virtual event, but I really want to dig in to the product stuff. It's a big day for you guys. You announced 10.0. But before we get into the announcements, step back a little bit you know, you guys are riding the waves. I've said to ah, number of our guests that that brick has always been good. It riding the wave not only the initial MPP, but you you embraced, embraced HD fs. You embrace data science and analytics and in the cloud. So one of the trends that you see the big waves that you're writing >>Well, you're absolutely right, Dave. I mean, what what I think is most interesting and important is because verdict is, at its core a true engineering culture founded by, well, a pretty famous guy, right, Dr Stone Breaker, who embedded that very technical vertical engineering culture. It means that we don't pretend to know everything that's coming, but we are committed to embracing the tech. An ology trends, the innovations, things like that. We don't pretend to know it all. We just do it all. So right now, I think I see three big imminent trends that we are addressing. And matters had we have been for a while, but that are particularly relevant right now. The first is a combination of, I guess, a disappointment in what Hadoop was able to deliver. I always feel a little guilty because she's a very reasonably capable elephant. She was designed to be HD fs highly distributed file store, but she cant be an entire zoo, so there's a lot of disappointment in the market, but a lot of data. In HD FM, you combine that with some of the well, not some the explosion of cloud object storage. You're talking about even more data, but even more data silos. So data growth and and data silos is Trend one. Then what I would say Trend, too, is the cloud Reality Cloud brings so many events. There are so many opportunities that public cloud computing delivers. But I think we've learned enough now to know that there's also some reality. The cloud providers themselves. Dave. Don't talk about it well, because not, is it more agile? Can you do things without having to manage your own data center? Of course you can. That the reality is it's a little more pricey than we expected. There are some security and privacy concerns. There's some workloads that can go to the cloud, so hybrid and also multi cloud deployments are the next trend that are mandatory. And then maybe the one that is the most exciting in terms of changing the world we could use. A little change right now is operationalize in machine learning. There's so much potential in the technology, but it's somehow has been stuck for the most part in science projects and data science lab, and the time is now to operationalize it. Those are the three big trends that vertical is focusing on right now. >>That's great. I wonder if I could ask you a couple questions about that. I mean, I like you have a soft spot in my heart for the and the thing about the Hadoop that that was, I think, profound was it got people thinking about, you know, bringing compute to the data and leaving data in place, and it really got people thinking about data driven cultures. It didn't solve all the problems, but it collected a lot of data that we can now take your third trend and apply machine intelligence on top of that data. And then the cloud is really the ability to scale, and it gives you that agility and that it's not really that cloud experience. It's not not just the cloud itself, it's bringing the cloud experience to wherever the data lives. And I think that's what I'm hearing from you. Those are the three big super powers of innovation today. >>That's exactly right. So, you know, I have to say I think we all know that Data Analytics machine learning none of that delivers real value unless the volume of data is there to be able to truly predict and influence the future. So the last 7 to 10 years has been correctly about collecting the data, getting the data into a common location, and H DFS was well designed for that. But we live in a capitalist world, and some companies stepped in and tried to make HD Fs and the broader Hadoop ecosystem be the single solution to big data. It's not true. So now that the key is, how do we take advantage of all of that data? And now that's exactly what verdict is focusing on. So as you know, we began our journey with vertical back in the day in 2007 with our first release, and we saw the growth of the dupe. So we announced many years ago verdict a sequel on that. The idea to be able to deploy vertical on Hadoop nodes and query the data in Hadoop. We wanted to help. Now with Verdict A 10. We are also introducing vertical in eon mode, and we can talk more about that. But Verdict and Ian Mode for HDs, This is a way to apply it and see sequel database management platform to H DFS infrastructure and data in each DFS file storage. And that is a great way to leverage the investment that so many companies have made in HD Fs. And I think it's fair to the elephant to treat >>her well. Okay, let's get into the hard news and auto. Um, she's got, but you got a mature stack, but one of the highlights of append auto. And then we can drill into some of the technologies >>Absolutely so in well in 2018 vertical announced vertical in Deon mode is the separation of compute from storage. Now this is a great example of vertical embracing innovation. Vertical was designed for on premises, data centers and bare metal servers, tightly coupled storage de l three eighties from Hewlett Packard Enterprises, Dell, etcetera. But we saw that cloud computing was changing fundamentally data center architectures, and it made sense to separate compute from storage. So you add compute when you need compute. You add storage when you need storage. That's exactly what the cloud's introduced, but it was only available on the club. So first thing we did was architect vertical and EON mode, which is not a new product. Eight. This is really important. It's a deployment option. And in 2018 our customers had the opportunity to deploy their vertical licenses in EON mode on AWS in September of 2019. We then broke an important record. We brought cloud architecture down to earth and we announced vertical in eon mode so vertical with communal or shared storage, leveraging pure storage flash blade that gave us all the advantages of separating compute from storage. All of the workload, isolation, the scale up scale down the ability to manage clusters. And we did that with on Premise Data Center. And now, with vertical 10 we are announcing verdict in eon mode on HD fs and vertically on mode on Google Cloud. So what we've got here, in summary, is vertical Andy on mode, multi cloud and multiple on premise data that storage, and that gives us the opportunity to help our customers both with the hybrid and multi cloud strategies they have and unifying their data silos. But America 10 goes farther. >>Well, let me stop you there, because I just wanna I want to mention So we talked to Joe Gonzalez and past Mutual, who essentially, he was brought in. And one of this task was the lead into eon mode. Why? Because I'm asking. You still had three separate data silos and they wanted to bring those together. They're investing heavily in technology. Joe is an expert, though that really put data at their core and beyond Mode was a key part of that because they're using S three and s o. So that was Ah, very important step for those guys carry on. What else do we need to know about? >>So one of the reasons, for example, that Mass Mutual is so excited about John Mode is because of the operational advantages. You think about exactly what Joe told you about multiple clusters serving must multiple use cases and maybe multiple divisions. And look, let's be clear. Marketing doesn't always get along with finance and finance doesn't necessarily get along with up, and I t is often caught the middle. Erica and Dion mode allows workload, isolation, meaning allocating the compute resource is that different use cases need without allowing them to interfere with other use cases and allowing everybody to access the data. So it's a great way to bring the corporate world together but still protect them from each other. And that's one of the things that Mass Mutual is going to benefit from, as well, so many of >>our other customers I also want to mention. So when I saw you, ah, last last year at the Pure Storage Accelerate conference just today we are the only company that separates you from storage that that runs on Prem and in the cloud. And I was like I had to think about it. I've researched. I still can't find anybody anybody else who doesn't know. I want to mention you beat actually a number of the cloud players with that capability. So good job and I think is a differentiator, assuming that you're giving me that cloud experience and the licensing and the pricing capability. So I want to talk about that a little >>bit. Well, you're absolutely right. So let's be clear. There is no question that the public cloud public clouds introduced the separation of compute storage and these advantages that they do not have the ability or the interest to replicate that on premise for vertical. We were born to be software only. We make no money on underlying infrastructure. We don't charge as a package for the hardware underneath, so we are totally motivated to be independent of that and also to continuously optimize the software to be as efficient as possible. And we do the exact same thing to your question about life. Cloud providers charge for note indignance. That's how they charge for their underlying infrastructure. Well, in some cases, if you're being, if you're talking about a use case where you have a whole lot of data, but you don't necessarily have a lot of compute for that workload, it may make sense to pay her note. Then it's unlimited data. But what if you have a huge compute need on a relatively small data set that's not so good? Vertical offers per node and four terabyte for our customers, depending on their use case, we also offer perpetual licenses for customers who want capital. But we also offer subscription for companies that they Nope, I have to have opt in. And while this can certainly cause some complexity for our field organization, we know that it's all about choice, that everybody in today's world wants it personalized just for me. And that's exactly what we're doing with our pricing in life. >>So just to clarify, you're saying I can pay by the drink if I want to. You're not going to force me necessarily into a term or Aiken choose to have, you know, more predictable pricing. Is that, Is that correct? >>Well, so it's partially correct. The first verdict, a subscription licensing is a fixed amount for the period of the subscription. We do that so many of our customers cannot, and I'm one of them, by the way, cannot tell finance what the budgets forecast is going to be for the quarter after I spent you say what it's gonna be before, So our subscription facing is a fixed amount for a period of time. However, we do respect the fact that some companies do want usage based pricing. So on AWS, you can use verdict up by the hour and you pay by the hour. We are about to launch the very same thing on Google Cloud. So for us, it's about what do you need? And we make it happen natively directly with us or through AWS and Google Cloud. >>So I want to send so the the fixed isn't some floor. And then if you want a surge above that, you can allow usage pricing. If you're on the cloud, correct. >>Well, you actually license your cluster vertical by the hour on AWS and you run your cluster there. Or you can buy a license from vertical or a fixed capacity or a fixed number of nodes and deploy it on the cloud. And then, if you want to add more nodes or add more capacity, you can. It's not usage based for the license that you bring to the cloud. But if you purchase through the cloud provider, it is usage. >>Yeah, okay. And you guys are in the marketplace. Is that right? So, again, if I want up X, I can do that. I can choose to do that. >>That's awesome. Next usage through the AWS marketplace or yeah, directly from vertical >>because every small business who then goes to a salesforce management system knows this. Okay, great. I can pay by the month. Well, yeah, Well, not really. Here's our three year term in it, right? And it's very frustrating. >>Well, and even in the public cloud you can pay for by the hour by the minute or whatever, but it becomes pretty obvious that you're better off if you have reserved instance types or committed amounts in that by vertical offers subscription. That says, Hey, you want to have 100 terabytes for the next year? Here's what it will cost you. We do interval billing. You want to do monthly orderly bi annual will do that. But we won't charge you for usage that you didn't even know you were using until after you get the bill. And frankly, that's something my finance team does not like. >>Yeah, I think you know, I know this is kind of a wonky discussion, but so many people gloss over the licensing and the pricing, and I think my take away here is Optionality. You know, pricing your way of That's great. Thank you for that clarification. Okay, so you got Google Cloud? I want to talk about storage. Optionality. If I found him up, I got history. I got I'm presuming Google now of you you're pure >>is an s three compatible storage yet So your story >>Google object store >>like Google object store Amazon s three object store HD fs pure storage flash blade, which is an object store on prim. And we are continuing on this theft because ultimately we know that our customers need the option of having next generation data center architecture, which is sort of shared or communal storage. So all the data is in one place. Workloads can be managed independently on that data, and that's exactly what we're doing. But what we already have in two public clouds and to on premise deployment options today. And as you said, I did challenge you back when we saw each other at the conference. Today, vertical is the only analytic data warehouse platform that offers that option on premise and in multiple public clouds. >>Okay, let's talk about the ah, go back through the innovation cocktail. I'll call it So it's It's the data applying machine intelligence to that data. And we've talked about scaling at Cloud and some of the other advantages of Let's Talk About the Machine Intelligence, the machine learning piece of it. What's your story there? Give us any updates on your embracing of tooling and and the like. >>Well, quite a few years ago, we began building some in database native in database machine learning algorithms into vertical, and the reason we did that was we knew that the architecture of MPP Columbia execution would dramatically improve performance. We also knew that a lot of people speak sequel, but at the time, not so many people spoke R or even Python. And so what if we could give act us to machine learning in the database via sequel and deliver that kind of performance? So that's the journey we started out. And then we realized that actually, machine learning is a lot more as everybody knows and just algorithms. So we then built in the full end to end machine learning functions from data preparation to model training, model scoring and evaluation all the way through to fold the point and all of this again sequel accessible. You speak sequel. You speak to the data and the other advantage of this approach was we realized that accuracy was compromised if you down sample. If you moved a portion of the data from a database to a specialty machine learning platform, you you were challenged by accuracy and also what the industry is calling replica ability. And that means if a model makes a decision like, let's say, credit scoring and that decision isn't anyway challenged, well, you have to be able to replicate it to prove that you made the decision correctly. And there was a bit of, ah, you know, blow up in the media not too long ago about a credit scoring decision that appeared to be gender bias. But unfortunately, because the model could not be replicated, there was no way to this Prove that, and that was not a good thing. So all of this is built in a vertical, and with vertical 10. We've taken the next step, just like with with Hadoop. We know that innovation happens within vertical, but also outside of vertical. We saw that data scientists really love their preferred language. Like python, they love their tools and platforms like tensor flow with vertical 10. We now integrate even more with python, which we have for a while, but we also integrate with tensorflow integration and PM ML. What does that mean? It means that if you build and train a model external to vertical, using the machine learning platform that you like, you can import that model into a vertical and run it on the full end to end process. But run it on all the data. No more accuracy challenges MPP Kilometer execution. So it's blazing fast. And if somebody wants to know why a model made a decision, you can replicate that model, and you can explain why those are very powerful. And it's also another cultural unification. Dave. It unifies the business analyst community who speak sequel with the data scientist community who love their tools like Tensorflow and Python. >>Well, I think joy. That's important because so much of machine intelligence and ai there's a black box problem. You can't replicate the model. Then you do run into a potential gender bias. In the example that you're talking about there in their many you know, let's say an individual is very wealthy. He goes for a mortgage and his wife goes for some credit she gets rejected. He gets accepted this to say it's the same household, but the bias in the model that may be gender bias that could be race bias. And so being able to replicate that in and open up and make the the machine intelligence transparent is very, very important, >>It really is. And that replica ability as well as accuracy. It's critical because if you're down sampling and you're running models on different sets of data, things can get confusing. And yet you don't really have a choice. Because if you're talking about petabytes of data and you need to export that data to a machine learning platform and then try to put it back and get the next at the next day, you're looking at way too much time doing it in the database or training the model and then importing it into the database for production. That's what vertical allows, and our customers are. So it right they reopens. Of course, you know, they are the ones that are sort of the Trailblazers they've always been, and ah, this is the next step. In blazing the ML >>thrill joint customers want analytics. They want functional analytics full function. Analytics. What are they pushing you for now? What are you delivering? What's your thought on that? >>Well, I would say the number one thing that our customers are demanding right now is deployment. Flexibility. What? What the what the CEO or the CFO mandated six months ago? Now shout Whatever that thou shalt is is different. And they would, I tell them is it is impossible. No, what you're going to be commanded to do or what options you might have in the future. The key is not having to choose, and they are very, very committed to that. We have a large telco customer who is multi cloud as their commit. Why multi cloud? Well, because they see innovation available in different public clouds. They want to take advantage of all of them. They also, admittedly, the that there's the risk of lock it right. Like any vendor, they don't want that either, so they want multi cloud. We have other customers who say we have some workloads that make sense for the cloud and some that we absolutely cannot in the cloud. But we want a unified analytics strategy, so they are adamant in focusing on deployment flexibility. That's what I'd say is 1st 2nd I would say that the interest in operationalize in machine learning but not necessarily forcing the analytics team to hammer the data science team about which tools or the best tools. That's the probably number two. And then I'd say Number three. And it's because when you look at companies like Uber or the Trade Desk or A T and T or Cerner performance at scale, when they say milliseconds, they think that flow. When they say petabytes, they're like, Yeah, that was yesterday. So performance at scale good enough for vertical is never good enough. And it's why we're constantly building at the core the next generation execution engine, database designer, optimization engine, all that stuff >>I wanna also ask you. When I first started following vertical, we covered the cube covering the BBC. One of things I noticed was in talking to customers and people in the community is that you have a community edition, uh, free addition, and it's not neutered ais that have you maintain that that ethos, you know, through the transitions into into micro focus. And can you talk about that a little bit >>absolutely vertical community edition is vertical. It's all of the verdict of functionality geospatial time series, pattern matching, machine learning, all of the verdict, vertical neon mode, vertical and enterprise mode. All vertical is the community edition. The only limitation is one terabyte of data and three notes, and it's free now. If you want commercial support, where you can file a support ticket and and things like that, you do have to buy the life. But it's free, and we people say, Well, free for how long? Like our field? I've asked that and I say forever and what he said, What do you mean forever? Because we want people to use vertical for use cases that are small. They want to learn that they want to try, and we see no reason to limit that. And what we look for is when they're ready to grow when they need the next set of data that goes beyond a terabyte or they need more compute than three notes, then we're here for them, and it also brings up an important thing that I should remind you or tell you about Davis. You haven't heard it, and that's about the Vertical Academy Academy that vertical dot com well, what is that? That is, well, self paced on demand as well as vertical essential certification. Training and certification means you have seven days with your hands on a vertical cluster hosted in the cloud to go through all the certification. And guess what? All of that is free. Why why would you give it for free? Because for us empowering the market, giving the market the expert East, the learning they need to take advantage of vertical, just like with Community Edition is fundamental to our mission because we see the advantage that vertical can bring. And we want to make it possible for every company all around the world that take advantage >>of it. I love that ethos of vertical. I mean, obviously great product. But it's not just the product. It's the business practices and really progressive progressive pricing and embracing of all these trends and not running away from the waves but really leaning in joy. Thanks so much. Great interview really appreciate it. And, ah, I wished we could have been faced face in Boston, but I think it's prudent thing to do, >>I promise you, Dave we will, because the verdict of BTC and 2021 is already booked. So I will see you there. >>Haas enjoyed King. Thanks so much for coming on the Cube. And thank you for watching. Remember, the Cube is running this program in conjunction with the virtual vertical BDC goto vertical dot com slash BBC 2020 for all the coverage and keep it right there. This is Dave Vellante with the Cube. We'll be right back. >>Yeah, >>yeah, yeah.

(upbeat music) >> Live from Las Vegas. It's the Cube. Covering, Boomi World, 2018. Brought to you by Dell Boomi. >> Hello everyone, welcome to the live Cube coverage here in Las Vegas, the Wynn Hotel for Dell Boomi World 18. So, exclusive coverage. We're here all day. Wall to wall coverage covering the impact of cloud native to application developers and owners and for businesses. I'm John Furrier with Lisa Martin here. We're here with Michael Dell. 13th time on the Cube. He's the founder and CEO of Dell Technologies. Continuing to defy logic. Growing leaps and bounds. Continuing to do more in the new era of IT and computing. Mike, great to see you. Thanks for coming. >> Great to be with you. Lisa, John, always fun. And here at Boomi World it's really exciting to see the ecosystem continue to grow. As people try to connect everything together Boomi is right there. Incredible business last quarter. Booking growth, 80%, 7500 customers. I still can't find a customer that doesn't need Boomi. The team continues to evolve what the capabilities. We've just had a great show here. 1000 customers showed up. Lot's of great customer stories about how they're integrating all their apps and data together. With the tsunami of data that is coming, it just gets more and more important and interesting and fun. >> You know, you mentioned on the key note stage with CEO Boomi, talking about some performance numbers that you always throw out, server growth. Continuing to grow, okay. The pundants were saying oh servers, that's cloud server-less. You still need compute, networking and storage but they do change with the cloud and SaaS has proven that business model of as a service is key. Boomi's got this little secret weapon around the unified platform that integrates a lot of these traditional components that is still going to be foundational but yet set up the next wave around AI, Edge, data tsunami that you mentioned. This is a key variable in the architectural shift. Can you talk about how you see that playing out? Because you got a couple big pieces on the chess board. VMWare, the continuous Dell Technologies portfolio kind of as the table stakes. This is kind of interesting new architecture. Explain how you see that. >> Pivotal, Dell EMC, VMWare. >> So a lot of pieces. >> Right. >> How does Boomi play into that? Because if it does be a glue layer if you will for lack of a better word, it can be very powerful. >> Yeah, so the challenge is when you go to Software as a Service, how do you connect the things together? Now, connecting 1 or 2 together is pretty straight forward. But when you start having 50 or 100 of these things, and then you've got on premise systems and now you want to have actions like an employee does something and based on their roll then something else happens, you have work flow. And then you get this, you go from a couple billion PCs to 5 billion smart phones to 100s of billions of connected things out there with this explosion in the edge. How you integrate and connect everything together with work flow and do it securely is super, super important. So we're seeing just an explosion of use cases. There was some great examples from a city digitizing and being able to detect leaks and when traffic lights aren't working. The used cases are pretty unlimited and Boomi and Pivitol play sort of at the top layer for us so the applications and integrating all the data and allowing customers to express their competitive advantage with software and data and AI and machine learning. And then of course we've got VM Ware to virtualize everything from the data center to the network and beyond. With NSX, what we're doing with NFE and software to fine win. And then of course we're the initial infrastructure company. Absolute number 1 in all aspects of the data center. And growing much faster than any of the competitors. >> And I want to also get your thoughts on VM Ware announced up to this morning, actually Barcelona time for VM Ware Europe, the acquisition of Heptio. >> Absolutely. >> Okay, Pat Kelson said in VM World, we're going in, we're going to make Kubernetes the dial tone. This is a key architectural component around orchestration. Containers certainly everyone knows, that's been standardized. People love containers. They're using them. As applications need to be more efficiently built out, out of the Boomi's value proposition, Kubernetes and these cloud native things are super important. What's your view on that? Great acquisitions, very young company? Not 34 billion dollars for a Red Hat like IBM bought but a small tuck in. How important is that trend for you? >> Well, think about what we've done with Pivitol and VM Ware together with the Pivitol container service and now adding Heptio with 2 of the 3 founders of the whole Kubernetes movement. We're going to be making Kubernetes just part of the dial tone of vSpheres. So for virtually all the customers out there, 600000 of them that use vSphere, it'll just be super easy to now have Kubernetes containers built into their vSphere environment. That's the vision. We've got a great team working on it across VM Ware and Pivitol and now the Heptio team. Adding to it. We're super pumped about all this. >> If your friend asked you at a party this weekend, hey Michael, why is Kubernetes important? What do you say to that? >> I guess it would depend on how much they know about this. >> They're a business owner responsible for application development. >> Yeah. >> They are owning to transform their organization. They realize clouds going to be a part of it. They here Kubernetes really popular, it's trending. But it's a technology. A lot of people are now getting this for the first time and seeing it as the early dopples have shown it. They try to want to know the impact and why it's important. Why is Kubernetes important as you start to get into this orchestration of apps and work loads across clouds. Why is it important? >> I think people don't want to get locked in to a particular place when it comes to their infrastructure. Kubernetes has clearly won the battle in terms of being able to be that abstraction layer. That's the simple thing that is super exciting. When it sort of went from cloud to hybrid cloud to multi cloud, people realized they wanted a 2 way street where they could move things back and forth. And now with the edge, they want to move it to the edge. With the distributed core. This explosion in data, this dat tsunami really requires a whole new set of tools in terms of the software infrastructure to be able to make it all work. >> So transformation is ... You're talking about Dell Technologies now. 34 years later you have 7 corporations under that. Done a lot to keep those brands, as they're very valuable. Dell Boomi as a business unit. Transformation is essential and Dell Boomi wants to be the transformation partner. It's also incredibly difficult. IT transformation. Digital, security, workforce. Dell Boomi works and Dell Technologies with a lot of large enterprise organizations that are still probably fairly not as well connected as they should be to find new value, new business dreams. How do you talk with customers, large enterprises that need to transform to stay competitive? Where do they start? And how dose the Dell transformation story in and of itself help those customers feel confident in what Dell Technologies can deliver? >> Right, well first thing I'd say is we actually work with customers of all sizes. We have an enormous business with small and medium and large customers. We're number 1 across the whole spectrum. We serve 99% of the Fortune 500. Since your question is about those types. They're looking at the digital transformation and figuring out this is really not an IT project. It's about technology becoming pervasive in everything that they're doing. From sells to marketing, to product creation to their whole fundamental strategy. So then it shows up in the office of the CEO and business line executives and they're having to reimagine. And so they look for a partner and Dell Technologies is very unique. 2 years and 2 months ago we put together all these companies and it's been fabulous. We've been growing double digits consistently and the response has been great because we can deliver a complete set of capabilities. Now you're right, change management, and how do I do it in my company, that's a big deal. So they're pulling on us to bring them more of a ... The don't want us to show up with a bunch of parts and drop em off. They want us to actually build them a solution that is specific to their needs. Help them implement it. In many cases, run it for them. So we do much of that ourselves with our own services organization. 60000 plus people in our services organization. And of course we have the best, all the great SIs out there that are helping customers implement and run and manage like I said, 99% of the Fortune 500. We're right there with them in this digital transformation. Of course we do the IT, the workforce, the PCs and of course security. Unbelievably important. Your whole brand trust is all based on that so we wrap the whole thing with security and no company has the breath that we have. I think we've kind of won the hearts and minds of the decision makers because of the capabilities that we have. Not that we take it for granted. We have to go earn that trust every single day. We have unbelievably talented people in our company. Over 20000 engineers. Scientists, PHDs. About 90% of them are software engineers. This is a very different company than it was 5 or 10 years ago. We're having a blast. It's a rocket ship, so. >> I had a chance to interview an IT leader and his name is Allen Bean. He's the global CTO and head of IT innovation at Proctor and Gamble. He brought the cloud to Coca-Cola. Has had a career all in IT going back to DHL in the 90s and 80s. So we were talking and I asked him, does IT matter. And Dave Alampi always brings up the book by Nick Carr. And we always talk about it. >> Love it. Such a fun topper, yeah. >> And so he says, quote, at that time some people thought it didn't matter, everyone was kind of complaining, but he says it does matter. It's a competitive advantage. And over the decades IT was outsourced. And now people are trying to bring that back in and make it a competitive advantage. This is now ... It's a mandate basically. So as people who have been kind of anemic with IT, they've got people running stuff but eventually outsource all the value. They got to bring that value in. Cloud is that opportunity. How do you respond to the leaders out there trying to figure this out. What are the keys to success around bringing back the competitive advantage and using the cloud for things that aren't core to the core competency but getting that core competency nailed down. What's your vision. >> Yeah, well, look, I mean, it's all about understanding what is your competitive differentiation and advantage as a business. And if you give that away to somebody else, you're going to be out of business in not too much time. Packers applications are great for things that aren't differentiated. But if you actually do something that's unique and valuable and special and you can't express that in software with your own data, you're going to have a problem, right? This is what companies are figuring out. This is what we're doing with Pivitol and Boomi allowing companies to build all this together. And look I think as it relates to cloud, customers have figured out it's multi cloud, right? It's a workload dependent discussion. Some workloads are great in the public cloud but in many cases, not so much, right? As we've modernized and automated the infrastructure we have customers that tell us hey our private cloud for our predictable workload, which is 90%, is 5, 6 times less expensive than AWS. We're building these converge, hyper converge, like the fast track to the automated modernized infrastructure. And look, you can decide. But we're seeing customers that want to move things back and forth and we're seeing a bit of a boomerang. Where customers have said oh everything you upload to the cloud, and no, not everything. >> And the digital transformation really is making IT a competitive advantage. So I had a long ranging interview. It's up on YouTube. I asked him a final question. I always said, okay, so you know, he's transforming Proctor and Gamble. I said okay, as you look ads and all those things what's the next mountain that you're going to climb? You're an IT pro, you said in the agenda. And I'll read you the quote. I want to get your reaction. He said, "I think we're looking forward. Latency is still an issue. We have to find ways to defeat latency and we're not going to do it through basic physics, we're going to have to change out business models, change our technology, distribution, change everything that we're doing. Consumers and customers are demanding instant access to enhanced information through AI and machine learning right at the point when they want it." So this is his next mountain. This is kind of what you were talking about on the stage here at the Dell Boomi event around the impact of AI and data. What's your reaction to that quote? >> Well to me this is all about the edge and 5G coming around the corner. And you look at all the big telcos. They're all piling in on 5G because it's 1000 times faster and 1000 times less latency. That's going to be a big turbo charge. The rocket ship. And it will just create an explosion in data and compute on the edge. And a lot of it's going to stay on the edge. Because you'll have these edge devices talking to each other. A whole new class of applications and capabilities because of that. That's super exciting. We're already seeing it with this build out of distributed core. And that's why we see so much growth in the data center business. >> So Michael, Dell Boomi, if you look at Boomi for a second, was named by the Gartner Magic Quadrant of 2018 as a leader in Ipads. Today they talked about ... >> Again, I think 6th or 7th year in a row. It's been there for quite some time. >> An established leader in an established market. But today they were talking about, hey we want to change the, we want to redefine the I in Ipads to intelligence. How is Dell Technologies and Boomi particularly starting to leverage terra bites and terra bites of customer meta data to make your systems smarter? To enable businesses to truly connect. Prim, edge devices as things continue to get more distributed and data becomes more critical? >> Yeah, so, the key to AI and all of its variance of machine learning, deep learning neural network is the data. The data is the fuel for the rocket ship of AI. And the challenge is, if you have your data spread out in 100 softwares of service providers and 3 public clouds and here and there and where's all your data? We don't really know. How do you fuel the rocket? It becomes a very difficult problem. This is the problem that we're beginning to address for our customers. We're going to have an event all about AI coming up I think next week. Where we're going to be talking much more about this. We got a number of offerings that we're rolling out. We've been helping customers for years build their data lakes and curate the data. And of course Pivitol and Boomi are essential to how you bring all of this together and make sense of it. Because if you just have all the data but you can't actually use it. If you're not already using AI and it's variance to improve your products and services, you're doing it wrong. We've identified over 450 projects just within Dell Technologies internally. As I mentioned on stage, we've sold about 700 million computers since I started in my dorm room. We have enormous telemetry data. Imagine, if you will, that something doesn't work exactly the way it's supposed to. Okay? What's the chance that has never happened before? >> Zero. >> The answers almost zero, right? Our job is to take all this data that we have, use all this intelligence and actually prevent it from happening. So we're building all kinds of intelligence and AI and preventative technology into all of our solutions from the data center to the desk top to the edge, to the multi cloud so that all these systems are just self healing and auto magically way more reliable. >> Auto magically, I like that. It just sounds like what you're saying is Dell Technologies articulating it's value and it's differentiation because you're using that data. >> You have to. >> To identify insight, to take action immediately. >> And to your point about the big companies, they have an advantage but it's a bit of a time value expiring advantage. They have the data that the new entrance don't have. >> Right. >> But they have to activate it quickly with this new computer science or else they'll be dinosaurs, right? Nobody wants to be a dinosaur. >> Michael, what's the business drivers, and you talk to customers all the time, that they're seeing and that matter most to them. Is it agility, is it transform the customer employee experience, compliant security? How would you view the pattern around the most important business driver for your customers that are trying to put the business transformation together with digital. Could you comment just anecdotally what you see? >> I think every customer is a little bit different in their journey. Some customers, security is number 1. Because of the kind of business that they're in and it just has to be that way. For other customers it's how do I increase my speed to the solution. It used to be we need a new feature. We'll get it in a year or 2. How about never. Does never work for you? That's kind of the old IT. Now with agile development you've got, what we're doing with Pivotol cloud foundry, you've got companies implementing, these are giant companies. Biggest companies in the world. They're implementing new things like in 2 or 3 weeks. It's amazing how fast. Speed and as a chief executive, that's what you crave. How can I take this new requirement that I heard from the customer and turn it into a feature that I can go offer very, very quickly? That's what you want to be able to do. It's what we used to be able to do when we were little tiny cubs. How do you do it with 200000 people? >> I want to get your thoughts on a trend that you popularized early on in your career, the direct business model, you also had the just in time manufacturing kind of ethos of build it, build to order, really streamline efficiency. So I want to kind of take the leap to now a new generation with cloud native where you have workflows and efficiencies. You have integration. So in a way the customers are now going direct to their customers and wanting to compose and build solutions. As you said on stage, these are going to be new problems that not yet have been identified. New solutions. So that customers have to be what you did. They got to build their own. So they got to build their own, they got to have the suppliers, they got to have the code. How do you see customers being successful if they want to take that efficiency approach? Kind of be 5 nines if you will in this new modern era. Because this is the challenge that they have. They have to build their own. They need suppliers. They need you guys. How do you see the customers being successful in that scenario? >> Yeah, I think what they're trying to do is shrink the time from when at that point of customer interaction, they can use the data to make the service and the product better and if it's like this lengthy value chain with all these different intermediaries and it takes weeks or months or never, that's just way too slow. They want it to be like instantaneous. How do they create that direct relationship with their customers? I only had 1000 dollars when I started so we couldn't really afford much so each dollar you invest very carefully. We just kind of out of necessity came up with some ideas that ... >> You were efficient because you had to be. >> We didn't have any choice, right? >> So when we talk about integration, we talk about it's the foundation of digital transformation, we've talked about IT, security, workforce. One of the things that you mentioned earlier that I'd like to get your perspective on, a different view of transformation is cultural. An enterprise organization as you mentioned has a huge advantage of a tremendous wealth of data. With that amount of data and the need for speed as you just talked about, where, in your opinion, and your experience, is cultural transformation as an enabler of an enterprise to really be able to react that quickly to develop new products, new revenue strengths? >> Yeah, I think it's a big challenge. And a lot of customers struggle with change management. You never want a good crisis go to waste. We sort of grew up in the business where it was change or die, quick or dead. If you don't do it you're gone, right? This was just the way our business, this was just how we had to compete. It's what we grew up in. And I think what's happened is more and more businesses are that way now. It requires the business leaders to say hey friends, we've got a real challenge here and we've got to move faster. It is change or die, it's quick or dead, I think for all businesses because this is the fastest time ever but it's the slowest time relative to the future. It's just going to get faster and faster. If companies ... The only way you get good at change is to do it more frequently. And so if you've never changed anything for 80 years in your company and all the sudden you start trying to change, it's really hard. You just have to start. >> How do you inspire say employees at Dell Technologies who've been with you for a very long time to be able to be open and agile themselves to help facilitate this transformation? >> I believe we built it into our culture that they understand that change is good as opposed to change is bad. If you fear something well then it's bad, right? We precondition people to say okay we're going to change something. Not to say every time we change something it works perfectly. We make mistakes, we learn, we trial and error. That's all fine. Fail fast. But you need a culture where you can embrace change. No question about it. I think a lot of companies that didn't really have that are figuring that out and either by crisis or by leadership or by some combination they're then forced into it. For me, it's what we grew up in. Because hey it's a tough world out there. >> Mike, I want to ask you a final question. Thanks for coming on and spending the time with us. Great interview here. Good length. Recently in the news with a lot of commentary from us as well as the industry around IBM buying Red Hat. I made a comment around the innovation piece of this and I want to get your thoughts on that because when you bought EMC, it was a merger of equals. You integrated that and the growth that you've been successful since then, I want to get your perspective. I want you to take a minute to explain to folks watching, when you did the merger equal with EMC, what happened? You've been successful integrating the organization. What innovative things have you done since the EMC merger of equals? Take a minute to explain, again, there's a lot of moving pieces on the table. You got VM Wares, you got Pivitol, you got Boomi. A lot of moving parts in your plan. You've been successful with the numbers. Financial performance shows it. Take a minute to explain what happened, where's the innovation coming out of Dell Technologies? >> So in hind sight, it looks pretty obvious, right? You take the leader and servers and the leader in storage and you say hey infrastructure hardware goes together. And by the way, if you have the leader of infrastructure software, VM Wares, you put that all together. Wow, that'd be really great. And turns out it was. It was actually much better than we thought. And so customers have really bought into that and then with Pivitol and Boomi and Rsave, Virtustream, Secureworks etc., we have such a complete set of capabilities that customers have said, hey, why do I want to buy from 20 smaller less capable companies and integrate it myself versus you guys will just do all this for me. If they were buying from 2 or 3 or 4 parts of Dell Technologies they'll say, well, why don't we just take the others, right? We been picking up huge amounts of share across the whole business. I'm talking about like 10s of billions of dollars of growth here. There's clearly a consolidation going on in the kind of existing parts of the industry but we've also got massive investments in the new cloud native parts and software defined, and security. It's been a real blessing to be able to pull all of these teams together. We had this relationship with EMC going back from 2001. We were very early supporters of VM Ware. We had a theory of victory and it's played out very well. The teams have really gelled enormously well and the customers have continued to give us their trust. >> I think, first of all servers, storage, networking is never going away. It's the holy trinity of anything in computing. Just looks different and consumes differently. But I think people underestimate the execution innovation that you guys have done. You didn't skip a beat. VM Ware didn't skip a beat. So things have happened, so that was a challenge of the integration. >> Not everybody predicted that it was going to go that way. It's actually gone much better than even we had planned. The revenue synergies have been much larger. >> Well congratulations and thanks for taking the time on the Cube. Michael Dell is here inside the Cube here at Boomi World 18. Dell Boomi World. It's the part of Dell Technologies. We think of them being the power engine for data processing, data growth, powering AI, integrating all the application workloads. I'm John Furrier with Lisa Martin. Stay tuned for more coverage after this short break. (upbeat music) >> Since the dawn of the cloud, the Cube has been there. Connected.

>> Live from San Jose, in the heart of Silicon Valley, it's theCUBE. Covering DataWorks Summit 2018. Brought to you by Hortonworks. >> Welcome back everyone, you are watching day two of theCUBE's live coverage of DataWorks here in San Jose, California. I'm your host, Rebecca Knight. I'm coming at you with my cohost Jame Kobielus. We're joined by Partha Seetala, he is the Chief Technology Officer at Robin Systems, thanks so much for coming on theCUBE. >> Pleasure to be here. >> You're a first timer, so we promise we don't bite. >> Actually I'm not, I was on theCUBE- >> Oh! >> At DockerCon in 2016. >> Oh well excellent, okay, so now you're a veteran, right. >> Yes, ma'am. >> So Robin Systems, as before the cameras were rolling, we were talking about it, it's about four years old, based here in San Jose, venture backed company. Tell us a little bit more about the company and what you do. >> Absolutely. First of all, thanks for hosting me here. Like you said, Robin is a Silicon Valley based company. Our focus is in allowing applications, such as big data, databases, no sequel and AI ML, to run within the Kubernetes platform. What we have built is a product that converges storage, complex storage, networking, application workflow management, along with Kubernetes to create a one click experience where users can get managed services kind of feel when they're deploying these applications. They can also do one click life cycle management on these apps. Our thesis has initially been to, instead of looking at this problem from an infrastructure up into application, to actually look at it from the applications down and then say, "Let the applications drive the underlying infrastructure to meet the user's requirements." >> Is that your differentiating factor, would you say? >> Yeah, I think it is because most of the folks out there today are looking at is as if it's a competent based play, it's like they want to bring storage to Kubernetes or networking to Kubernetes but the challenges are not really around storage and networking. If you talk to the operations folk they say that, "You know what? Those are underlying problems but my challenge is more along the lines of, okay, my CIO says the initiative is to make my applications mobile. They want go across to different Clouds. That's my challenge." The line of business user says, "I want to get a managed source experience." Yes, storage is the thing that you want to manage underneath, but I want to go and click and create my, let's say, an Oracle database or distributions log. >> In terms of the developer experience here, from the application down, give us a sense for how Robin Systems tooling your product enables that degree of specification of the application logic that will then get containerized within? >> Absolutely, like I said, we want applications to drive the infrastructure. What it means is that we, Robin is a software platform. We later ourselves on top of the machines that we sit on whether it is bare metal machines on premises, our VMs, or even an Azure, Google Cloud as well as AWs. Then we make the underlying compute, storage, network resources almost invisible. We treat it as a pool of resources. Now once you have this pool of resources, they can be attached to the applications that are being deployed as can inside containers. I mean, it's a software place, install on machines. Once it's installed, the experience now moves away from infrastructure into applications. You log in, you can see a portal, you have a lot of applications in that portal. We ship support for about 25 applications of some such. >> So these are templates? >> Yes. >> That the developer can then customize to their specific requirements? Or no? >> Absolutely, we ship reference templates for pretty much a wide variety of the most popular big data, no sequel, database, AI ML applications today. But again, as I said, it's a reference implementation. Typically customers take the reference recommendation and they enhance it or they use that to onboard their custom apps, for example, or the apps that we don't ship out of the box. So it's a very open, extensible platform but the goal being that whatever the application might be, in fact we keep saying that, if it runs somewhere else, it's runs on Robin, right? So the idea here is that you can bring anything, and we just, the flip of switch, you can make it a one click deploy, one click manage, one click mobile across Clouds. >> You keep mentioning this one click and this idea of it being so easy, so convenient, so seamless, is that what you say is the biggest concern of your customers? Is this ease and speed? Or what are some other things that are on their minds that you want to deliver? >> Right, so one click of course is a user experience part but what is the real challenge? The real challenges, there are a wide variety of tools being used by enterprises today. Even the data analytic pipeline, there's a lot across the data store, processor pipeline. Users don't want to deal with setting it up and keeping it up and running. They don't want that, they want to get the job done, right? Now when you only get the job done, you really want to hide the underlying details of those platforms and the best way to convey that, the best way to give that experience is to make it a single click experience from the UI. So I keep calling it all one click because that is the experience that you get to hide the underlying complexity for these apps. >> Does your environment actually compile executable code based on that one click experience? Or where does the compilation and containerization actually happen in your distributed architecture? >> Alright, so, I think the simplest- >> You're a prem based offering, right? You're not in the Cloud yourself? >> No, we are. We work on all the three big public clouds. >> Oh, okay. >> Whether it is Azure, AWS or Google. >> So your entire application is containerized itself for deployment into these Clouds? >> Yes, it is. >> Okay. >> So the idea here is let's simplify it significantly, right? You have Kubernetes today, it can run anywhere, on premises, in the public Cloud and so on. Kubernetes is a great platform for orchestrating containers but it is largely inaccessible to a certain class of data centric applications. >> Yeah. >> We make that possible. But our take is, just onboarding those applications on Kubernetes does not solve your CXO or you line of business user's problems. You ought to make the management, from an application point of view, not from a container management point of view, from an application point of view, a lot easier and that is where we kind of create this experience that I'm talking about, one click experience. >> Give us a sense for how, we're here at DataWorks and it's the Hortonworks show. Discuss with us your partnership with Hortonworks and you know, we've heard the announcement of HDP 3.0 and containerization support, just give us a rough sense for how you align or partner with Hortonworks in this area. >> Absolutely. It's kind of interesting because Hortonworks is a data management platform, if you think about it from that point of view and when we engaged with them first- So some of our customers have been using the product, Hortonworks, on top of Robin, so orchestrating Hortonworks, making it a lot easier to use. >> Right. >> One of the requirements was, "Are you certified with Hortonworks?" And the challenge that Hortonworks also had is they had never certified a container based deployment of Hortonworks before. They actually were very skeptical, you know, "You guys are saying all these things. Can you actually containerize and run Hortonworks?" So we worked with Hortonworks and we are, I mean if you go to the Hortonworks website, you'll see that we are the first in the entire industry who have been certified as a container based play that can actually deploy and manage Hortonworks. They have certified us by running a wide variety of tests, which they call the Q80 Test Suite, and when we got certified the only other players in the market that got that stamp of approval was Microsoft in Azure and EMC with Isilon. >> So you're in good company? >> I think we are in great company. >> You're certified to work with HTP 3.0 or the prior version or both? >> When we got certified we were still in the 2.X version of Hortonworks, HTP 3.0 is a more relatively newer version. But our plan is that we want to continue working with Hortonworks to get certified as they release the program and also help them because HTP 3.0 also has some container based orchestration and deployment so you want to help them provide the underlying infrastructure so that it becomes easier for beyond to spin up more containers. >> The higher level security and governance and all these things you're describing, they have to be over the Kubernetes layer. Hortonworks supports it in their data plane services portfolio. Does Robin Systems solutions portfolio tap in to any of that, or do you provide your own layer of sort of security and metadata management so forth? >> Yeah, so we don't want- >> In context of what you offer? >> Right, so we don't want to take away the security model that the application itself provides because might have step it up so that they are doing governance, it's not just logging in and auto control and things like this. Some governance is built into. We don't want to change that. We want to keep the same experience and the same workflow hat customers have so we just integrate with whatever security that the application has. We, of course, provide security in terms of isolating these different apps that are running on the Robin platform where the security or the access into the application itself is left to the apps themselves. When I say apps, I'm talking about Hortonworks. >> Yeah, sure. >> Or any other databases. >> Moving forward, as you think about ways you're going to augment and enhance and alter the Robin platform, what are some of the biggest trends that are driving your decision making around that in the sense of, as we know that companies are living with this deluge of data, how are you helping them manage it better? >> Sure. I think there are a few trends that we are closely watching. One is around Cloud mobility. CIOs want their applications along with their data to be available where their end users are. It's almost like follow the sun model, where you might have generated the data in one Cloud and at a different time, different time zone, you'll basically want to keep the app as well as data, moving. So we are following that very closely. How we can enable the mobility of data and apps a lot easier in that world. The other one is around the general AI ML workflow. One of the challenges there, of course, you have great apps like TensorFlow or Theano or Caffe, these are very good AI ML toolkits but one of the challenges that people face, is they are buying this very expensive, let's say NVIDIA DGX Box, this box costs about $150,000 each, how do you keep these boxes busy so that you're getting a good return on investment? It will require you to better manage the resources offered with these boxes. We are also monitoring that space and we're seeing that how can we take the Robin platform and how do you enable the better utilization of GPUs or the sharing of GPUs for running your AI ML kind of workload. >> Great. >> Those are, I think, two key trends that we are closely watching. >> We'll be discussing those at the next DataWorks Summit, I'm sure, at some other time in the future. >> Absolutely. >> Thank you so much for coming on theCUBE, Partha. >> Thank you. >> Thank you, my pleasure. Thanks. >> I'm Rebecca Knight for James Kobielus, We will have more from DataWorks coming up in just a little bit. (techno beat music)

>> Announcer: Live from Las Vegas, it's The CUBE, covering VMworld 2017, brought to you by VMware and its ecosystem partners. >> Hey welcome back everyone, we're live here in Las Vegas. Behind me is the VM Village, this is The CUBE on the ground live at VMworld, I'm John Furrier, with Dave Vellante. Excited to have Sanjay Poonen, Cube VIP new badge that's going out. Five or more times you get a special badge on the website Chief Operating Officer, Chief Customer Operations as well at VMware, Sanjay. >> I think I won one of your hoop madness what do you call those Cube >> John: Yeah, that's right. You did get one of those. >> One of them, so add that to the smallest. >> Came in second to the bot, next year you won. We're going to have to check the algorithm on it that's before we had machine learning, so... Sanjay, great to see you. >> Always a pleasure, John and Dave, thank you for having me here. >> So, you know, in fairness to the VMware management team I got to say, great content program. Usually you can see, kind of, maybe some things that are kind of a little futuristic on the spot big time, on the content. True private cloud, data that Wikibon reported on, you guys are right in line with that. Hybrid-cloud is where its going from multi-cloud. You talk multi-cloud, the Kubernetes orchestration vision for Cloud Native, and even you were doing some interviewing on stage. >> Trying to be Anderson Cooper. >> So, tell us, what's your perspective because you got to balance here you got the reality of the Amazon relationship front and center, delivered big time there, shipping, western region, VMware on-prem, and on-cloud and this new cloud native vector of orchestration and simplicity. >> Yeah, I think, at least from our perspective as I describe in sort of that one chart where I try to put it in Sesame Street simple terms as I like to describe. VMware is one of the most fundamental companies that had a incredible impact in the data center, taking more costs and complexity. We are the defacto backbone of almost everybody's data center, but as the data center moves to the cloud you got to ask yourself, what's the relevance, and we've now shown, same way with the desktop going to mobile, and that's the end-user stuff that we've talked about the last few shows. But let's focus on that cloud part. We really felt as people extended to the public cloud we had to change our strategy to not seek to be a public cloud ourselves, and that's the reason we divested VCloud Air, and focused on significant things we could do with the leading public cloud vendors. As you know, Andy Jassy is a classmate of mine, Pat, Raghu, myself, began the discussions with Andy two years ago, and we announced the deal last year in October. This year having him on stage was, for me, personally a dream come true, and really nice to see that announcement, but we wanted to make sure we were also relevant to some of the other clouds. So earlier this year, in February, we announced Horizon Cloud, the VDI product manager. Today, we announced Kubernetes VMware, Pivotal and Google Form in Kubernetes, IBM Cloud. So all of the top four clouds, AWS, Azure, Google, and IBM have something going with VMware being with Pivotal. That's a big statement to our multi-cloud vision. >> And what a changeover from just two years ago when the ecosystem was, kind of, like a deer in the headlights, not knowing which way to zig or zag, do they cross the street. Where are we going with this? Now the clarity's very clear, cloud, and IoT, and edge with Amazon right there, a lot of the workloads there with multi-cloud. So the question I got to have you is that, as we just talked to the Google guys, is VMware turning into an arms dealer? Because that's a nice position to be at, because you're now driving VMware into multiple clouds. >> I think, you know, when I was on your show last time I described this continent called VMware, and then bridges into them. (John laughs) Let me try another and see if this works. That was good, but it had its 12-month shelf life. Think about the top four public clouds as sort of Mount Rushmore type figures. Each at different heights, AWS, Azure, Google, IBM Cloud, in market share they're the top four. If you want to build a house on top of Mount Rushmore, okay, it could work, but you're going to have to build it on top of one president's head. The moment you want to build it, you need some concrete infrastructure that fills in all the holes between them. That's VMware. It's the infrastructure platform that can sit on top of those varied disparate levels of Mount Rushmore, and make yourself relevant from on. So that's why we fell, whether you want to call that a quintessential platform, an arms provider, whatever it is, for the 4,400 cloud providers, plus the top four or five public cloud players today, VMware has to be relevant. We weren't two or three years ago. Now, for the top three, we're very relevant. >> I call it a binding agent. You're the binding agent across clouds, that's what you're really trying to become. But I wonder if, you know, you're talking about the clarity. I mean, VMware, things are good right now. Two years ago, was looking kind of hmmm, maybe not so good, with license growth down, and now it's up, stock prices double digits, >> Stock prices almost highest >> Okay, so I want to understand the factors behind that. You mentioned the clarity around vCloud Air and the AWS agreement, clearly. The second I want to attest is, the customer reality of cloud, that I can't just ship my business to the cloud, ship my data to the cloud. I got to bring the cloud model to the data. Did that in your conversation with customers, those two factors lead to customers being more comfortable, signing longer term agreements with you guys. Is that a bit part of the tailwind? I wonder if you could discuss that. >> Yeah, Dave I think that's absolutely right. One of the things I've learned in my 25 years of IT is, you want to keep being strategic to your customers. You never want to be in a place where you're in a cul-de-sac. And I started to sense, right, not definitively, but perhaps two years ago, there was a little it of that cul-de-sac perception as our license revenue was growing, particularly on this cloud strategy. Are you trying to be a public cloud, are you not, what's your stance versus AWS as one example, and with vCloud Air, there was a little bit of that hesitation. And if you asked our sales teams, the clarifying of our cloud strategy, which last year was okay but didn't have the substance or the punch. Now you've got an AWS coming on stage, and the other cloud providers where we have substance. I think that clarifying the cloud strategy game the ability for customers to say, even while they were waiting for AWS to be shipped, the last year, three or four quarters are spending of on-premise VMware stuff has gone up, 'cause they see us as strategic. The second aspect I think is our products are now a lot more mature than they were before outside of B sphere. VMware cloud foundation, which consists of storage, networking, VSAN, NSX, and you've talked to those people on your stage, workspace one, end user computing. These have really, really helped, and I think the third factor is, we've really focused on building a very strong team, from Pat, myself, to Raghu, Rajeev, Ray, Mauricio, Robin, I think it's a world-class infrastructure, so we just added Claire Dixon as our Chief Comms Officer on eBay. This is for us now, and everyone in the rest of the organization, we want to continue building a world-class sort of warrior-style strength in numbers. >> Quick follow-up if I may, just a little Jim Kramer moment. And the financial's looking good, you just raised four billion of cheap debt, right the operating cash flow, three billion dollars, and the nice thing about the clarity around vCloud Air is, the capital expenditure, it's just a very capital-efficient model that you guys have now, and I've been saying, you can't say it, but to me the stock's undervalued. When you do the ratios and the multiples on those factors, it looks like a cheap stock to me. >> John: I would love to see you buy it because we have to disclose it, the big position in VMware. >> No, no, no. >> We don't have any stock >> I wish we did. >> We just want to keep growing and the market will fairly value us over time. >> Yeah, it will. >> Well you guys had a good team at VMware, so let's just go back and unpack that. So there was a transformation. Peter Burrows was talking about IBM over the years, had a massive transformation, so really kind of a critical moment for VMware as you're pointing out. We had this great discipline, great technology, great community folks, still there now, as you mentioned, but that transition from saying, we got to post a position, are we in cloud or not, let's make a decision and move on, and as Dave said, it's good economics behind not having a cloud, but I saw a slide that said VMware Cloud, you can still have a cloud strategy using Amazon. Okay, I get that. So the question for you is this. This is the debate that we've been having. Just like in the cryptocurrency market, you're seeing native tokens in cryptography, and then secondary tokens, just one went crazy today. With cloud, we see native cloud, and then new clouds that are going to be specialty clouds. You're seeing a huge increase the long-tail power law of cloud providers that are sitting on other clouds. We think this is a trend. How does VMware help those potential ascensior clouds, the Deloitte clouds, the farming drone cloud that's going to have unique applications? So if applications become clouds, how does VMware help that? >> That's a really good question. So first off, we have 4,400 cloud providers that built their stacks on VMware. And it could be some of these sourced. Probably the best example are companies like Rackspace, OVH, T-Systems. And we're going to continue to empower them, and I think many of them that are in country-specific areas, France, Germany, China, Asia, have laws that require data to be there, and I think they quite frankly have a long existence, and some of them like Rackspace have adapted their model to be partnering with AWS, so we're going to continue to help them, and that's our VMware cloud provider program, that's going to be great. The other phenomenon we see happening is these mini data centers starting to form at what's called the edge. So edge computing is really almost like this mobile device becoming bigger and bigger, it becomes like a refrigerator, it becomes like a mini data center, and it's not sitting in the cloud, it's actually sitting in a branch someplace or somewhere external. VMware Stack could actually become the software that powers that whole thing. So if you believe that basically cloud providers are going to be three or four or five big public clouds, a bunch of cloud providers are country-specific, or vertical-specific, again in these edge computings, VMware becomes quintessentially important to all of those, and we become, whether you call it a platform, a glue, or whatever have you, and our goal is to make sure we're pervasive in all of those. I think it's going to, world is go, going to go from mobile cloud to cloud edge, I mean the whole word of cloud and edge computing is the future. >> So you believe that there potentially could be another second coming of more CSPs exploding big time. >> Especially with edge computing, and country-specific rules. There's some countries that just won't do business with a US public cloud because of whatever reason. >> Well, many of those 4,400 would say, hey, we have to have a niche so we can compete with AWS, so we don't get AWS-ized. So what's your message to those guys now that you're sort of partnered up with AWS? >> Listen, OVH is a good example. Virtuastream's another, I'll give you two good examples. OVH, we sold vCloud Air to them. We are helping those customers be successful. I go to some of those calls jointly with them, they are based in France expending some of their presence to the US, and have got some very specific IP that makes their data centers efficient. We want to help then be successful. Some of the technology that we've built in vCloud Air, we're now licensing to them so we can them be successful. Virtustream, you know Rodney Rogers being on your show. Mission-critical apps is tough for some of the public clouds to get right. They've perfected the art, and I've known them from my SAP days. So there's going to be some of these other clouds that are going to be enormously successful in their niche, and their niche are going to get bigger and bigger. We want to make sure every one of them are successful. And I think there's a big opportunity for multiple vendors to be successful. It won't be just the top three or four public clouds. There will be some boutique usage by country or some horizontal or vertical use case. >> Good for an arms dealer. Well this is my whole point, this is what we've been getting at. We're kind of riffing in real time, little competitive strategy, we got the Harvard MBA and I'm the Babson guy, we'll arm wrestle it out here, maybe do some car karaoke together. But this brings up the question, and I've been saying for a long time on The Cube, and Dave and I have been talking about, we see a long tail, torso neck expanding, where right now it's a knife-edge, long tail, top native clouds and then nobody else. So I think we're going to see this expand out where specialty clouds are going to come out for your reasons. So that is going to open up the door, and those guys they're not going to want their own cloud. >> Sanjay: I agree. >> And that's a channel, an app, who knows? >> You look at an example, one, two other examples of specialty clouds, these are SAS vendors. If you look at two vertical companies, Viva and Guidewire. These are SAS companies that are in the life sciences and insurance space. They've been enormously successful in a space that you're probably maybe a Zapier Salesforce would have done, but they have been focused in a vertical market, insurance and life sciences. And I think there's going to be many providers the same way at the IS level or the PAS level, to also be successful and we welcome, this is going to be a large multi-cloud world. >> Edge cloud. You guys talking about the edge before. Pat had the slide of the pendulum swinging. >> Sanjay: Exactly. >> What is that edge cloud do to the existing business? Is it disruptive or is it evolutionary in your opinion? >> It's disruptive in the sense that, if you've taken a hardware-centric view of that, I think you're going to be disrupted. You take things like software-defined WAN, software-defined networking. So I think the beauty of software is that we're not depending on the size of the hardware that sits underneath it, whether it's a big data center or small edge of the cloud. We're building this to be an all-form factors, and I agree with Marc Andreessen in the sense the software's eating up the world. So given the fact that VMware >> And the edge. >> Yeah, our premise is if there's more computing that's moving to the edge, more software define happening at the edge, we should benefit from that. The hardware vendors will have to adapt, and that's good. But software becomes quintessential. Now I think the edge is showing a little bit of, like, you know, Peter Levine had a story about how cloud computing might be extinct if edge computing takes off. Because what's happening is this machine starts to get bigger and bigger and sits in a branch or in some local place, and it's away from the cloud. So I think it actually is a beautiful world where if you're willing to adapt quickly, which software lets you do, adapt quickly, I think there's a bright future as world moves cloud, mobile, and edge. >> Great stuff, Sanjay, and I was referencing car karaoke, you have on your Twitter >> Oh the carpool karaoke. >> The carpool karaoke. >> It was a fun little thing. Maybe we could do it together, three of us some time. (John laughs) >> I don't do karaoke. Final... >> Just sing, man Just be out there doing your thing. >> I embarrass myself on The Cube enough, I don't need karaoke to help there. >> David: I'm in. (laughs) >> All right, I'll do it. All right, final question for you. >> That's a deal. Let's do it. >> Final question, Michael Dell and we're talking, the world's upside down right now, the computer industry has been thrown up in the air, it's going to be upside down, reconfiguration. You've been in the business for a long time, you've seen many waves. Actually the waves now are pretty clear. What's the fallout going to be from this for customers, for the vendors, for how people buy and build relationships in this new world? >> I think there's a couple of fundamental principles. I talked about one, software, let's not repeat that. I think ecosystems rule. It's really important that you don't look at yourself as having to own the full stack, you know VMware's chosen to be hardware-dependent. Yes, we're owned by Dell, but you've seen us announce a HP partnership here, right? You've seen us do deals with Fujitsu. We had AWS Cloud and Google Cloud. So when you view the world, I love this line by Isaac Newton, he said, "I see clearly because I stand on the shoulders of giants." And to me, that's a very informed strategy to actually guide our ecosystem strategy. Who are the giants in our space? It's the companies that are relevant, with the biggest market caps. Apple, Google, Microsoft, you know, AWS is part of Amazon, and then you know, HP, EMC, Dell, so and so, we list them, by my SAP. If we're relevant to all of them, I'd love to see the momentum of VMworld and the momentum to reinvent start coalescing. Collectively there's probably a hundred thousand people who come to all of our VMware vForums. Andy Jassy told me he expects 40,000 at re:Invent, and maybe across all of his AWS summits, he has a hundred thousand. I was sharing with him an idea. Why don't we have these two amoebas of growing conferences start to coalesce where we mingle, maybe 20% goes to both conferences, but we'll come to your show and be the best software vendor, that hijacks your show, so to speak, (John laughs) I didn't use that word. But we become the best vendor, and we'll roll out the red carpet to you. Now we've got a collection of 200,000, we couldn't have done that on our own. That's an example of AWS and VMware partnering. Now it doesn't have to be exclusively AWS, we could do it with another partner too. Microsoft doesn't show up at the AWS re:Invent conference, we do. Similarly we could maybe do something very specific with Azure and VDI at the Microsoft event, or Kubernetes and Google. So for VMware, our strategy needs to be highly relevant to the power players in the ecosystem, and the guiding our software-defined strategy to make that work, and I think if we do that, you know, you could see this be a 10 billion and bigger company. >> Well it says it's not a zero sum game, >> Sanjay: No, everybody wins. >> And if you can stay in the game, everybody wins, right. >> And I think in the software-defined infrastructure space, we like our odds. We feel we could be the leading player in that software-defined area. >> And it changes and reimagines that relationship between how people consume or procure technology, because the cloud's a mosaic, as Sam Ramji was telling me earlier. >> Oh you had Sam on your show? Wonderful. >> I had him on earlier, and he sees the cloud as a mosaic. >> He's a fantastic thought leader in open source, we were deeply grateful to have him at our event today. >> Andy Jassy, your classmate and friend, collaborator, he was onstage, great performance that he gave. Really talking to your crowd, saying, "We got your back," basically. Not a barney deals, not a optical deal, we are in on it, we're investing, and we got your back. That's interesting. >> We want to be with all of the key leaders that are driving significant parts of the ecosystem, we want to be friends, our tent is large. If everybody. Provided there's, like you said, not a barney announcement, so provided there's value to the customer. If there is, our tent is large, right? We will have point competitors, you know, here and there, and you know me, I'm very competitive. >> John: (laughs) No! >> I've not named competitors too much in this show. >> Really, really. >> But, if anything now, my mind's a lot more focused on the ecosystem, and I want to make this tent large for as many, many players to come here and have a big presence at VMworld. >> And the ecosystem is reforming around this new cloud reality, and the edge is going to change that shape even further. >> Competing on value, competing in a new ecosystem requires a new way to think about relationships. >> If I could give you one other example, then. In the world of mobile, who would have thought that the most important company to mobile security and enterprise to Apple is VMware now, thanks to AirWatch, or to Samsung, whatever it might be, right. This is the world we live in, and we have to constantly adapt ourselves. So maybe next year we'll be talking about IoT or something different, and their ecosystem. >> Sanjay Poonen, COO of VMware, good friend inside The Cube, always candid. Thanks for sharing your commentary and color on the industry, VMware and your personal perspective. I'm John Furrier, Cube coverage live in Las Vegas, here on the ground floor in the VM Village. We'll be right back with more live coverage after this short break.