(funky guitar music) >> From our studios, in the heart of Silicon Valley, Palo Alto, California, This is theCUBE conversation. >> Everyone welcome to this CUBE conversation here in Palo Alto, California CUBE studios, I'm John Furrier, the host of theCUBE. Were with CUBE alumni, special guest Amit Walia, President of Products & Marketing at Informatica. Amit, it's great to see you. It's been a while. It's been a couple of months, how's things? >> Good to be back as always. >> Welcome back. Okay, Informatica worlds is coming up, we have a whole segment on that but we have been covering you guys for a long long time, data is at the center of the value proposition again and again, it's more amplified now, the fog is lifting. >> Sure. >> And the world is now seeing what we were talking about four years ago. (giggles) >> Yeah. >> With data, what's new? What's the big trends that going on that you guys are doubling down on? What's new, what's changed? Give us the update. >> Sure. I think we have been talking the last couple of years, I think your right, data has becoming more and more important. I think, three things we see a lot. One is obviously, you saw this whole world of digital transformation. I think that has de faintly has picked up so much steam now. I mean, every company is going digital and obviously that creates a whole new paradigm shift for companies to carry out almost recreate themselves, rebuild them, so data becomes the new definition. And that's what we call those things you saw at Infomatica even before data3.org, but data is the center of everything, right? And you see the volume of data growth, you know, the utilization of data to make decisions, whether it's, you know, decisions on the shop floor, decisions basically related to cyber security or whatever it is. And the key to what you see different now is the whole AI assisted data management. I mean the scale of complexity, the scale of growth, you know, multi-cloud, multi-platform, all the stuff that is in front of us, it's really difficult to run the old way of doing things, so that's why we see one thing that we see a whole lot is AI is becoming a lot more mainstream, still early days but it's assisting the whole ability for companies, what I call, exploit data to really become a lot more transformative. >> You have been on this for a while, again we can go back to theCUBE archives, we can almost pull out clips from two years ago, be relevant today, you know, the data control, understanding >> Yeah. >> Understanding where the data governance is-- >> Sure. >> That's always a foundational thing but you guys nailed the chat bots, you have been doing AI was previous announcements, this is putting a lot of pressure on you, the president of the products, you got to get this out there. >> What's new? What's happening inside Informatica? pedaling as fast as you can? What is some of the updates? >> No. >> Gives us the-- >> The best example always is like a duck, right? Your really swimming and feel things are calm at the top and then you are really paddling. No, I think it's great for us. I think, I look at AI's, AI is like, there is so much FUD [fear, uncertainty and doubt] around it and machine learning AI. We look at it as two different ways. One is how we leverage machine learning within our products to help our customers. Making it easy for them, like I said, so many different data types, think of IOT data, unstructured data, streaming data, how do you bring all that stuff together and marry it with your existing transactional data to make sense. So, we're leveraging a lot of machine learning to make the internal products a lot more easier to consume, a lot more smarter, a lot more richer. The second thing is that, we're what we call it our AI, CLAIRE, which we unveiled, if you remember, a couple of years ago at the Informatica World. How that then helps our customers make smarter decisions, you know, in data science and all of these data workbenches, you know, the old statistical models is only as good as they can ever be. So, we leveraging helping our customers see the value proposition of our AI, CLAIRE, then to what I make things that, you know, find patterns, you know, statistical models cannot. So, to me I look at both of those really, leveraging ML to shape our products, which is where we do a lot of innovation and then creating our AI, CLAIRE, to help customers to make smarter decisions, easier decisions, complex decisions, which I called the humans or statistical models, really cannot. >> Well this is the balance with machines and humans. >> Right. >> working together, you guys have nailed this before and I'm, I think this was two years ago. I started to hear the words, land, adopt, expand, form you guys, right? Which is, you got to get adoption. >> Right. >> And so, as you're iterating on this product focus, you got to getting working, making secure your products-- >> Big, big maniacal focus on that one. >> So, tell me what you have learned there because that's a hard thing. >> Right. >> You guy are doing well at it. You got to get adoption, which means you got to listen customers, you got to do the course correction. >> Yeah. >> what's the learnings coming out of that piece of that. >> That's actually such a good point. We've made such, we've always been a customer centric company but as you said, like, as whole world shifted towards a new subscription cloud model, we've really focused on helping our customers adopt our products and you know, in this new world, customers are struggling with new architectures and everything, so we doubled down on what we called customer success. Making sure we can help our customers adopt the products and by the way it's to our benefit. Our customers get value really quickly and of course we believe in what we call a customer for life. Our ability to then grow with our customers and help them deliver value becomes a lot better. So, we really focused, so, we have globally across the board customers, success managers, we really invest in our customers, the moment a customer buys a product from us, we directly engage with them to help them understand for this use case, how you implement the product. >> It's not just self service, that's one thing that I appreciate 'cause I know how hard it is to build products these days, especially with the velocity of change but it's also when you have a large scale data. >> Yeah. >> You need automation, you got to have machine learning, you got to have these disciplines. >> Sure. >> And this is both on your end and but also on the customer. >> Yes. >> Any on the updates on the CLAIRE and some customer learnings you're seeing that are turning into use cases or best practices, what are some of them? >> So many of them. So take a simple example, right? I mean, we think of, we take these things for granted, right? I mean, take note, we don't talk about IOB these days right? All these cell cells, we were streaming data, right? Or even robots on the shop floor. So much of that data has no schema, no structure, no definition, it's coming, right? Netflix data and for customers there is a lot of volume in it, a lot of it could be junk, right? So, how do you first take that volume of data? Create some structure to it for you to do analytics. You can only do analytics if you put some structure to it, right? So, first thing is I've leverage CLAIRE, we help our customers to create, what I call, schema and you can create some structure to it. Then what we do allow is basically CLAIRE through CLAIRE, it can naturally bring what we have the data quality on top of it, like how much of it is irrelevant, how much of it is noise, how much of it really makes sense, so, then, as you said it, signal from the noise We are helping our customers get signal from the noise of data. That's where it AI comes very handy because it's very manual, cumbersome, time consuming and sometimes very difficult to do. So, that's a area we have leveraged creating structure and data quality on top and finding rules that didn't naturally probably didn't exist, that you and me wouldn't be able to see. Machines are able to do it and to your point, our belief is, this is my 100% belief, we believe AI assisting the humans. We have given the value of CLAIRE to our users, so it complements you and that's where we are trying to help our users get more productive and deliver more value to you faster. >> Productivity is multifold, it's like, also, efficiency, people wasting time on project that can be automated, so you can focus that valuable resource somewhere else. >> Yeah. >> Okay, let's shift gears onto Informatica World coming up. Let's spend some time on that. What's the focus this year, the show, it's coming up, right around the corner, what's going to be the focus? What's going to be the agenda? What's on the plate? >> Give you a quick sense on how it's shape up, it's probably going to be our Informatica World. So, it's 20th year, again back in Waze, you know, we love Waze of course. We have obviously, a couple of days lined up over there, I know you guys will be there too. A great set of speakers. Obviously, we will have me on stage, speakers like, we'll have some, the CEO of Google Cloud, Thomas Kurian is going to be there, we'll have on the main stage with Anil, we'll have the CEO of Databricks, Ali, with me, we'll also have CMO of AWS, Ariel, there, then we have a couple of customers lined up, Simon from Credit Suisse, Daniel is the CDO of Nissan, we also have the Head of AI, Simon Guggenheimer from Microsoft as well as the Chief Product Officer of Tableau, Francois Ajenstat, so, we have a great line up of speakers, customers and some of our very very strategic partners with us. If you remember last year, We also had Scott Guthrie there main stage. 80 plus sessions, pretty much 90% lead by customers. We have 70 to 80 customers presenting. >> Technical sessions or going to be a Ctrack? >> Technical, business, we have all kinds of tracks, we have hands on labs, we have learnings, customers really want to learn our products, talk with the experts, some want to the product managers, some want to talk to the engineers, literally so many hands on labs, so, it's going to be a full blown couple of days for us. >> What's the pitch for someone watching that never been Informatica World? Why should they come for the show? >> I'll always tell them three things. Number one is that, it's a user conference for our customers to learn all things about data management and of course in that context they learn a lot about. So, they learn a lot about the industry. So, day one we kick it off by market perspectives. We are giving a sense on how the market is going, how everybody is stepping back from the day to and understanding, where are these digital transformation, AI, where is all the world of data going. We've got some great annalists coming, talkings, some customers talking, we are talking about futures over there. Then it is all about hands on learning, right?, learning about the product. Hearing from some of these experts, right?, from the industry experts as well as our customers, teaching what to do and what not to do and networking, it's always go to network, right, it's a great place for people to learn from each other. So, it's a great forum for all those three things but the theme this year is all about AI. I talked about CLAIRE, I'll in fact our tagline this year is, Clarity Unleashed. We really want, basically, AI has been developing over the last couple of years, it's becoming a lot more mainstream, for us in our offerings and this year we're really taking it mainstream, so, it's kind of like, unleashing it for everybody can genuinely use it, truly use it, for the day to day data management activities. >> Clarity is a great theme, I mean, it plays on CLAIRE but this is what we're starting to see some visiblility into some clear >> Yeah. >> Economic benefits, business benefits. >> Yep. >> Technical benefits, >> Yep. >> Kind of all starting to come in. How would you categorize those three areas because you know, generally that's the consensus these days that what was once a couple years ago was, like, foggy when you see, now you're starting to see that lift, you're seeing economic, business and technical benefits. >> To me it's all about economic and business. So, technology plays a role in driving value for the business, right, I'm a full believer in that, right, and if you think about some of the trends today, right, a billion users are coming into play that will be assisted by AI. Data is doubling every year, you know the volume of data, >> Yep. >> The amount of, and I always say business users today, I mean, I run a business, I want, I always say, tomorrow data, yesterday to make a decision today. It's just in time and that's where AI comes into play. So our goal is to help organizations transform themselves, truly be more productive, reduce operation cost, by the way governance and compliance, that's becoming such a mainstream topic. It's not just basically making analytical decisions. How do you make sure your data is safe and secure, you don't want to get basically get hit by all of these cyber attacks, they're all are coming after data. So, governance, compliance of data that's becoming very, so, those-- >> Again you guys are right on the data thing. >> Yeah. >> I want to get your reaction, you mentioned some stats. >> Sure. >> I've got some stats here. Data explosion, 15.3 zettabytes per year >> Yeah, in global traffic. >> Yeah. >> 500 million business data users and growing 20 billion in connected devices, one billion workers will be assisted by machine learning, so, thanks for plugging those stats but I want to get your reaction to some of these other points here. 80% of enterprises are looking at multicloud, their really evaluating where the data sits in that equation >> Sure. And the other thing is the responsibility and role of the Chief Data Officer >> Yes. >> These are new dynamics, I think you guys will be addressing that into the event. >> Absolutely, absolutely. >> Because organizational dynamics, skill gaps are issues but also you have multicloud. So your thoughts on those to. >> That's a big thing, look at, in the old world, John, Hidrantes is always still in large enterprises, right, and it's going to stay here. In fact I think it's not just cloud, think of it this way, on-premise is still here, it's not going a way. It's reducing in scope but then you have this multicloud world, SAS apps, PAS apps, infrastructure, if I'm a customer, I want to do all of it but the biggest problem is that my data is everywhere, how do I make sense of it and then how do I govern it, like my customer data is sitting somewhere in this SAS app, in that platform, on this on-prem application transaction app I'm running, how do I connect the three and how do I make sense it doesn't get, I can have a governance control around it. That's when data management becomes more important but more complex but that's why AI comes in to making it easier. What are the things we've seen a lot, as you touched upon, is the rise of CDO. In fact we have Daniel from Nissan, she is the CDO of Nissan North America, on main stage, talking about her role and how they have leveraged data to transform themselves. That is something we're seeing a lot more because you know, the role of the CDO is making sure that is not only a sense of governance and compliance, a sense of how do we even understand the value of data across an enterprise. Again, I see, one of the things we going to talk about is system thinking around data. We call it System Thinking 3.0, data is becoming a platform. See, there was OSA-D hardware layer whether it is server, or compute, we believe that data is becoming a platform in itself. Whether you think about it in terms of scale, in terms of governance, in terms of AI, in terms of privacy, you have to think of data as a platform. That's the other big thing. >> I think that is a very powerful statement and I like to get your thoughts, we had many conversations on camera, off camera, around product, Silicon Valley, Venture Capital, how can startups create value. On of the old antigens use to be, build a platform, that's your competitive strategy, you were a platform company and that was a strategic competitive advantage. >> Yes. >> That was unique to the company, they created enablement, Facebook is a great example. >> Yeah. >> They monetized all the data from the users, look where they are. >> Sure. >> If you think about platforms today. >> Sure. >> It seems to be table steaks, not as a competitive advantage but more of a foundational. >> Sure. >> Element of all businesses. >> Yeah. >> Not just startups and enterprises. This seems to be a common thread, do you agree with that, that platforms becoming table steaks, 'cause of if we have to think like systems people >> Mm-hmm. >> Whether it's an enterprise. >> Sure. >> Or a supplier, then holistically the platform becomes table steaks on premer or cloud. Your reaction to that. Do you agree? >> No, I think I agree. I'll say it slightly differently, yes. I think platform is a critical component for any enterprise when they think of their end to end technology strategy because you can't do piece meals otherwise you become a system integrator of your own, right? But it's no easy to be a platform player itself, right, because as a platform player, the responsibility of what you have to offer your customer becomes a lot bigger. So, we obviously has this intelligent data platform but the other thing is that the rule of the platform is different too. It has to be very modular and API driven. Nobody wants to buy a monolithic platform. I don't want to, as a enterprise, I don't buy all now, I'm going to implement five years of platform. You want it, it's going to be like a Lego block, okay you, it builds by itself. Not monolithic, very API driven, maybe microservices based and that's our belief that in the new world, yes, platform is very critical for to accelerate your transformational journeys or data driven transformational journeys but the platform better be API driven, microservices based, very nimble that is not a percussor to value creation but creates value as you go along. >> It's all, kind of up to, depends on the customer it could have a thin foundational data platform, from you guys for instance, then what you're saying, compose. >> Of different components. >> On whatever you need. >> For example you have data integration platform, you can do data quality on top, you can do master data management on top, you can provide governance, you can provide privacy, you can do cataloging, it all builds. >> Yeah. >> It's not like, oh my gosh, I have go do all these things over the course of five years, then I get value. You got to create value all along. >> Yeah. >> Today's customers want value like, in two months, three months, you don't want to wait for a year or two. >> This is the excatly the, I think, the operating system, systems mindset. >> Yes. >> You were referring too, this is kind of how enterprises are behaving now. There is the way you see on-premise, >> Yep. >> Thinking around data, cloud, multicloud emerging, it's a systems view distributed computing, with the right Lego blocks. >> That's what our belief is. That's what we heard from customers. See our, I spend most of my time talking to customers and are we trying to understand what customers want today and you know, some of this latent demands that they have, sometimes can't articulate, my job, I always end up on the road most of the time, just hearing customers, that's what they want. They want exactly to your point, a platform that builds, not monolithic, but they do want a platform. They do want to make it easy for them not to do everything piece meal. Every project is a data project. Whether it's a customer experience project, whether it's a governance project, whether it's nothing else but a analytical project, it's a data project. You don't repeat it every time. That's what they want. >> I know you got a hard stop but I want to get your thoughts on this because I have heard the word, workload, mentioned so many more times in the past year, if there was a tag cloud of all theCUBE conversations where the word workload was mentioned, it would be the biggest font. (laughs) >> Yes. >> Workload has been around for a while but now you are seeing more workloads coming on. >> Yeah. >> That's more important for data. >> Yes. >> Workloads being tied into data. >> Absolutely. >> And then sharing data across multiple workloads, that's a big focus, do you see that same thing? >> We absolutely see that and the unique thing we see also is that newer workloads are being created and the old workloads are not going away, which is where the hybrid becomes very important. See, we serve large enterprises and their goal is to have a hybrid. So, you know, I'm running a old transaction workload order here, I want to have a experimental workload, I want to start a new workload, I want all of them to talk to each other, I don't want them to become silos and that's when they look to us to say connect the dots for me, you can be in the cloud, as an example, our cloud platform, you know last time, we talked about a 5 trillion transactions a month, today is double that, eight to ten trillion transactions a month. Growing like crazy but our traditional workload is also still there so we connect the dots for our customers. >> Amit, thank you for coming on sharing your insights, obviously you guys are doing well. You've got 300,000 developers, billions in revenue, thanks for coming on, appreciate the insight and looking forward to your Informatica World. >> Thank you very much. >> Amit Walia here inside theCUBE, with theCUBE conversation, in Palo Alto, thanks for watching.

>> Live from Las Vegas, it's theCUBE! Covering VMworld 2018, brought to you by VMware and its ecosystem partners. >> Hello everyone, welcome back, this is theCUBE's live coverage here at VMworld 2018 in Las Vegas, I'm John Furrier, your host, with Dave Vellante my co-host, our next guest, CUBE alumni, special guest, Pat Gelsinger, CEO of VMWare, always comes on every year to share, and talk about the keynote, talk about the news, all the great stuff. VMWare, great, per it's financial performance, great product portfolio, great R&D, pumping on all cylinders, congratulations, welcome to theCUBE, great to see you. >> Thank you. Always great to see you guys, thanks John, thanks Dave, y'know. >> Y'know, it's fun, this is our ninth year doing VMWorld, you've been as the president of EMC and six years ago CEO of VMWare. We've been there, we've been following your journey. >> Hey, y'know, we've been on this path together, so it's been good. >> And, y'know, we've talked candidly around what was going on with Cloud at the time, your vision, getting sorted in. You made some real quick, decisive, decisions on Cloud, okay, Andy Jassy comes on stage, you're personally involved with Andy on the Amazon announcement, which is, I think people don't know how big that's going to be. But VMware and Amazon are seriously deep in a partnership. >> Yeah, absolutely. >> This is a big deal, this feels like a little wind-tell kind of easy, synergies across the board. (Pat laughs) >> Well, you know, in some ways, we'll say number one in public coming together with number one in private, that's a big deal. Yesterday's announcement of RDS on premise to me, sort of finishes the strategic picture that we were trying to paint, where it really is a hybrid world. Where we're taking workloads, and giving people the access to this phenomenal, rapidly-growing public Cloud, but we're also demonstrating that we can seamlessly connect it to the private Cloud and now we're bringing services back from the public Cloud onto the private and your own data centers. And that is so profound because now customers can say, Oh I like the RDS API's, I like the RDS management model. I can now put the data wherever I need it for my business purposes. That hybrid, bi-directional highway is something we're uniquely building with Amazon. And, hey, we're obviously working with other Cloud providers, but they are our preferred partner and we're pretty thrilled. >> Now we'll be talking about last year and what entailing that was. The clarity that allowed customers now to say, okay now I get the Cloud strategy, 'cause it wasn't clear before and boom, double down. >> Yeah, it's just been absolutely great. Customers get it now, and obviously seeing Andy here again this year, you've got a number of customers sort of dipping their toes in the water, you know. Now it's sort of like, okay, I'm ready to go. When we laid the one and a half year road map of availability zones, everybody sort of looking at that. I had a couple of customers saying, hey, you know I would really like that in Q1 rather than Q2. It sort of like okay, let's just sign the deal, we'll figure it out. >> Gov Cloud, we saw that in June. >> Yeah, in the public sector. >> Talk about Andy, because we got to know Andy over the years as well. A great executive, both you guys are great leaders of your team, both great managers. You're kind of both no-nonsense kind of executives, you get stuff done. If this block is in the way, you kind of remove them, you do the right thing. Andy's committed, he's committed to this, you're committed, this in for the, you're in it to win it, that kind of loyalty plus he's also customer-driven, heavily Amazon. You guys are, too, this deal is not just Amazon trying to do hybrid, it's customers. Can you share some inside baseball around the kind of customer demand around Cloud on premise with VM, with specifically Amazon website. This is new for Amazon, they've never done this. >> Yeah. >> They've never done this kind of of deal. >> It really is unique in that way, and because it was unique we went into it kind of trepidously, How's this going to work?" We committed ourselves, we do quarterly business reviews with Andy and I. You know, hey a lot of little action items, they get finished the week before the Andy-Pat meeting. (laughs) >> You know, there we are, every quarter, coming together and really building the teamwork down the teams, right, as well, down the organizations into the field, and just finding all sorts of you know. We're super excited about the RDS announcement, but hey, we have a pipeline of projects behind that. >> We're reporting that customers want this. >> Oh, Absolutely. >> This is a customer, not a kind of like you guys want to take over the Cloud, this is a customer-driven thing. >> Absolutely, Amazon don't do anything, I mean nothing, unless they believe there is meaningful customer demand. They are extraordinarily customer-focused in that respect, you know I think there's something we can all learn from their myopic focus on that aspect. They're engaging with customers, building things that customers like and the response obviously from the RDS announcement was really quite overwhelming. >> So, we've been asking people all week, and I'll ask for your commentary. The conventional wisdom on that deal is it was a one-way trip to the Hotel Cloud-ifornia and it's become boon for the data center. Why the misconceptions, why are you confident that it continues to be a boon for both companies? >> Yeah, hey, and we got to go prove it. At the end of the day, we have to go prove it. The analysts were sort of viewing it, there's this big sucking sound in the public Cloud where everything congregates. Point one, and three years ago, that was the prevailing wisdom, right, that that was going to be the case. Now, everybody, like I had the big CIO who basically said, hey, I've got 200 apps, I tried to move them to the public Cloud, I got two done. I can build new things there, but this moving was really hard until we had the VMC service. So this ability to move things to the Cloud and from the Cloud, I call it the three laws. The laws of physics, the laws of economics, and the laws of the land. The laws of physics, hey if I need 500 millisecond round-trip through the Cloud and the robotic arm needs a decision in 200 milliseconds, eh, you know, physics. Economics, I'm not going send every surveillance picture of the cat to the Cloud, bandwidth still costs, right? Then laws of the land, right, where people say, governance issues, GDPR, other things. Because of that, we see this hybrid world, in particularly as Edge and IOT becomes more prominent we fully expect that there's going to be more of that, not less. As I showed in my keynote last year, this pendulum of centralization and decentralization has been swinging through the industry for 40 years. And we don't see that stopping and Edge will be a force of more data, and computers pushing to the Edge, and that's obviously part of our keynote, as well. >> I wanted to get in a comment about how you talk about bridging technology gaps, or >> Yeah. >> Or segments with that VMware. Before I want to just point out that you're wearing a VMware tattoo for the folks who can see it. Pat is making all his employees have a VMware tattoo. (laughs) Yeah we got a tattoo machine, yeah, we're in Vegas, so. >> Ought to order some more CUBE stickers. What happens in Vegas stays on your arm, remember that. (laughing) You ought to keep the tattoos up, it's funny and clever. Let's get back to the keynote. You said a couple things I want to get your reaction to. One, the bridging of technology successfully has been a transformational gift that VMWare has had with good technologists and good engineers. So I want you to talk about that. Also, you had a quote around the old adage of the network is the computer, that's old, the new adage is the application is a network, I think is what you said. >> Precisely. >> Tell about this bridging and why that quote, that was a really good quote, I want to expand on that. >> Clearly, we think about the history of VMware and it started with this idea of HP, Dell, IBM, etcetera and all of a sudden it became VMWare with different hardware underneath it. We bridged across those hardware islands. Those hardware islands, when they started, weren't bad. Extraordinary innovation but all of sudden customers want to start using them together and VMware bridged that gap. We talked about the device guy, and BYOD, and the iPhone showing up and all of a sudden IT wasn't ready to manage it, but customers wanted it. So we see Windows devices, Macs, and IOS, and Google, and Chromes and so on. How do you bridge it, VMware is doing that. We saw many of the networks, boy, you know what my protocols are about. Okay, Again, we're bridging across that, and that's clearly where NSX is uniquely playing. So this idea of bridging across these elements, right, is deep in our heritage. Right, we do it in an ecosystem-friendly hardware independent now, Cloud-independent way, right. Where we're now saying in the Cloud health acquisition, we're going to bridge across these worlds and make them easier for our customers to consume them, wherever they may be. These are powerful innovations, capabilities that are emerging, but customers say, oh you know, where is that workload running? Increasingly, in the future, I'm going to say, Oh VMware is running it for me, and not actually say, oh where did you run that VMWare? Because we are going to meet their policies, we're going to meet their business needs. >> And that bridges what, the Cloud? The current bridge is what, the Cloud, or ? >> Oh yeah, absolutely. Right, but the Cloud will now be my private data centers as well as different public resources. I think one of the next big challenges that we'll have to lean into more aggressively is the data challenge. Hmmm, where's my data? In a Cloud world, in a SaaS world, I want to be able to use my data for different purposes, I don't want to necessarily locked in a particular SaaS application when I built up an S3 bucket. Maybe I want to run some of my private analytics on that. Oh, the laws changed and I now need to bring that back on premise, and you know... >> Is it going to cost anything? Yeah, and you know, bridging across those worlds. It's both an application statement, a networking statement, and a data center. >> So application is a network? >> Yes. >> I think if it were a network, not the network. >> Yes. >> What do you mean by that? >> I gave you an example, a heads-up display in a construction hat, as you're wearing a hard hat. This AR-VR application running in my display for my hardhat and I'm a factory worker now, right, I'm getting cool new x-ray vision into the machine of what's going on. I'm able to look through walls at what's going on. Wow, that's pretty cool, and I'm getting real-time safety information of what's going... oh, that's incredible. Now think about the application behind that. I'm accessing 30 year old building plan databases, I'm accessing systems of record, system designs that are coming from my equipment suppliers and cool new container-ized AR-VR applications. That's my application, when I think about it in that environment. And what a complex network of different services, legacy applications, modern, new, microservice, >> Data sources, those kind of things. >> All of those things are brought together into my application, and in that sense, the application is a network of these different services, data sources, et cetera. We believe in that, bridging across silos isn't important, its essential to do that because, as you say, security models across that. When that application isn't performing like I expect it to, how do I go, even debug it? Because now, a flag went off, saying the hardhat AR application is not performing well and I have upsets. You know, manufacturing people on the floor not being able to get real-time data: I got to go debug that. You know, what's not working right? It's this network that needs to be able to be analyzed, any metrics across all of those. I need security models, you know, the ability to essentially load-balance across a complex network of services. That's the world we're headed to and we think we have some pretty good opportunities to help customers get there. >> So, Pat, explain how technically does the platform of VMWare change and evolve to meet those needs? Is it sort of embracing those new services or is it rewriting at the core, can you explain that? >> Yeah, it's some of both, I'll give two examples of that: one is that we're embracing the Kubernetes layer. Right? That's what you heard us say. I'm going to make Kubernetes a new dial-tone for the VMWare layer. I didn't create Kubernetes, it's part of open-source community, but I tell you what, we are going to help evolve it, standardize it, make it part of that infrastructure. So that Kubernetes dial-tone, right, (laughs) Hopefully, everybody is old enough to understand what that means, right? You know, boom, it is always there and we're going to make sure it's always there. So I'll say in some cases we're embracing new industry innovations and that one happens to be CNCF, the Cloud  Native Computing Foundation in that community, so we're participating, we're contributing. In other cases, we got to go rewrite things. You know, NXS, the current version of NXS was primarily bound to V-sphere and customers have increasingly said, oh I need to make NXS much bigger then we ever conceived for the first NXS, and I need it to work on all these other environments, including non-V sphere. So that's why we did what we called NXS-T, which is a fundamental re-architecture of NXS. There's probably three or four lines of code that we re-used, but that's about it. (laughing) I mean it is a major architectural redo because now we're saying I need to scale this, essentially, across the planet. I need it to work in VMWare and non-VMWare environments. I need it to be native in multiple public Clouds and I need to stretch it into the container level. That was a big re-architecture project that we undertook. In some cases it will be both, and like in Cloud health, it will be things inorganically go acquire and then figure out how to meld them into the infrastructure that we build and offer. >> So, do you, as the CEO and a technologist, you have a very interesting organizational ownership, governing structure. Do you ever feel constrained writing an 11 billion dollar dividend, do you ever feel constrained in terms of your ability to fund the R&D necessary to do some of those things? >> No. >> Grayson said the same thing off camera, I'm asking you on-camera. >> Generally, no. Am I constrained in how much R&D I can do? Well, hey, I've got a budget, we build a P&L, we communicate it to the street and every day possible, I'm pushing to grow the business faster so I can shove more dollars into one of two places. More dollars into R&D or more dollars into sales and customer facing. If Robin Matlock is here, I keep giving her the table scraps at the end of those things. Build products that are innovative, radical, and break through. Sell products and support our customers using them. That's the two things we're ... >> That's the golden rule. >> And, by the way, you made some M&A, you've got Cloud health, which is a good thing. That was a vertical focus in health care. >> Yeah, and not just healthcare. Cloud Health is a multi-Cloud management platform. They've built their initial focus primarily in cost management of multiple Clouds, but, you know, we're going to build that platform out for every aspect of compliance management, performance management, et cetera. >> Multi-Cloud play, Boston-based. >> So, final question for you: as you look at NXS, it's becoming kind of that feels like a TCPIP moment. Okay, we thought you Andy gotcha to sign a baptism. He was very complimentary of NXS. I asked him what TCPIP did to connecting, inter-networking, creating, and boom, the OSA model stopped at TCPNIP, that created a lot of opportunities and, welp, that's where we are today. Is there a disruptive enable as powerful as TCPIP that you see coming, and is that an NXS mindset? What's your vision on this, because this is what the Cloud needed, it needs interoperability, it needs to go to a level to create goodness in the ecosystem, wealth creation for entrepreneurs. This is the new era, where is that disruptive enabler? >> Well, a couple of comments, and one is: if Andy says it, it's right. (laughs) >> Yeah. >> Yeah, you remember, this is the one Rembrandt of systems design for the last 30 years. Andy is that profound in his contributions to the industry. In terms of technical leadership, visionary leadership, he's very high on my list of seminal figures of Silicone Valley. At the systems level, it's just hard to get better than Andy, so you know, he honored you by coming on theCUBE. He honored us by being here at VMworld. >> He is complimentary of NXS in his position in the marketplace as a leader, he's very candid about that. >> Now with NXS we really are, I think, in this moment where you're saying okay, the old model of networking simply doesn't work. It must all be done from a software level. This isn't just like putting a few APIs on top of my hardware and saying it's now software-based, it is conceiving a globally-distributed control plane that allows you to essentially span multiple Clouds, multiple data centers, multiple services anywhere on the planet, totally consumable for services that run on top of it, transforming every aspect of a layer four through seven service, low balancing, fire wall it, all of those, routing, all of those need to be reconceived in a totally distributive fashion and underneath saying, we support a very, very broad range of different hardware. The hardware can never constrain what you do at that SDN ladder, and that's the core of our virtual Cloud network strategy. Obviously, Velocloud, hot product. ST WAN, branch transformation, pushing that edge of the network out in a fully Cloud-based way, very excited about that capability. >> We know you're probably under a lot of time pressures so we're going to let you go. Five seconds, summarize VMWorld 2018, what's this about, what's the vibe here in five seconds, go. >> Five seconds? >> Or 15, 20, 30, whatever you need, go. (laughs) Alright, take 10. >> It is, the seminal moment where the industry is seeing the value of the multi-Cloud era. Right, and now we're giving them the tools to embrace it. >> And two leaders have, on stage, Andy Jassy C of A WS, Pat Gelsinger, CEO of VMWare, are talking about multi-Cloud validation from customers and strong technology teams in business. Congratulations on your success, okay. >> Thank you. (laughing) >> Pat Gelsinger, we pay you for theCUBE sticker, we get royalties on that. Thank you so much, Pat Gelsinger inside theCUBE, CEO of VM here, breaking it down, great vibe here, VMworld 2018. Stay tuned after this short break, I'm John Furrier with Dave Vellante we'll be right back. (techno music)