>> lie from San Francisco celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by VM Wear and its ecosystem partners. >> Welcome back to the cubes. Live coverage here in San Francisco, California, for VM World 2019. I'm Jeff Davis Davis, our 10th year, 10 years covering the M world. Quite a run. Got a great stories. More stories coming, Emma days. A lot of organic growth. A lot of typos in the startup scene. Our next two guests Mike Adams, CIA Director bm wear and Ziv Kalman. Oh, vich product line manager here. Welcome to the Cube. Great to see you. Yes, Curtsy to you guys. Got a lot of activity happening around bit fusion. A lot of news to share. Exciting. I mean, in the M. And a story has been high on VM. Where we talking back? Elsie earlier. Continue to fill in on the strategy. >> Yeah, absolutely. Give us the update. Yeah, I think the key thing for us is we really want to become a key player in the A. I am l space and say that those workloads should come on visa. And with this acquisition we think, provides a great framework for a lot of the hardware accelerator devices. The best of you known of those his GP use. But we think there's four coming market with PG A's and also custom a six. So we're super excited about that. >> For the folks that don't know much about the acquisition, what was the motivation? What was the company's core product? What was the interest? Yeah, the >> company had a product called Flex Direct, and that particular product was really focused on taking, ah, similar concept that a lot of V m writes No, which was, Hey, we knew that computes space. We were trying to take these isolated islands and pull them together. Same type of thing. Here you had these expensive devices that people were buying and they were isolated. And now if we could take a single server, it's got a bunch of GP use on it. Why don't we share it? You see all these papers that come out around machine learning at the very end. It says she's I'm amazed that thes GP user so underutilized even when we're actually using them. It's kind of like buying a car and then using the radio only right? Doesn't. It just doesn't make sense. I >> got this trend of alternative processors just sort of exploding all over the place. I mean, obviously in video, sort of people know what's going on there, but but you've got arm. Now you've got the edge coming in, you know, Intel. Still dominant in the server space. But even even storage devices today use different type, not in the not Intel processors in there. It's a combination of our mo are Sometimes you know, G. P uses you say F g a Z, even though they're sort of a narrow use case. You're seeing a six make a comeback. So you got all this additional processing power, you know, going. So that's a tailwind. Absolutely, guys, and it's sort of the intersection of those to maybe talk about some of the trends you see in that regard and how you're taking advantage of them. >> Yeah, it reminds me of many moons ago when we had new chips that were coming out. We said, Jesus, hardware, flurry here, right? And now we're in a really similar spot. Ziv and I see a lot of different types of devices and acceleration devices, whether it's computer network or storage. And in this particular case, right, we just see a hotbed of all these customers that air seeing the same problem, right? And we've got great partnerships with Intel you mentioned in video and and many others. And we just want to really leverage those for these devices because you look at V sphere and say, OK, your traditional workloads. We've done those very, very well. But as we get into containers, KUBERNETES, machine Learning and I, we want these newer cloud native and newer workloads to come our way. And taking advantage of these new capabilities really helps accelerate that in a big way. >> Could you >> explain Maur on the the sphere impact? Because, you know, first of all, of'em, where community you get the feedback right away on Twitter and a lot of things. But sometimes you gotta dig in and find out what people are thinking and where there might. I think that could be future up opportunities or because it meets skepticism. Well, the the sphere native having a eye on the sphere, that's just mind blowing to me. But I mean, I can see I can see a data processor kind of vibe going on here where data needs to be processed. That seems to be a trend. What is it going on with the sphere with this? Is there what's the what's to customers? No. >> Well, I think the first thing to clarify here is that, you know, some often there is this question. Why would Iran m Ellery I work? Look specifically envy. Sphere is a platform. But then customers do run Emily and workers and public clouds. And those layers are not that different than the spirits virtualization layer, and they're running it in virtual machines. So the whole idea would be fusion specifically, is it? Actually, we can make it even more efficient to run these workloads on top of the sphere because the underlying infrastructure that you two actually, you have to accelerate these workloads there. Today they are mostly GP use, obviously, but in the futures, Michael so mentioned you a six are coming in and effigies are coming in. We are going to make those as well. That's the plan using the B fusion framework. Be more efficient to use. A lot >> of people are skeptical around running machine learning on these are not skeptical because, I mean, it's great for any time you have the opportunity to automate something or used software to make something go away. That's not the difference. You're undifferentiated, so it makes sense. But I just can't figure out where, specifically, within these fears of being targeted to use >> where envy sphere as in, Well, >> if I'm operating the sphere on top operator, I got Debs kicking around the corner. I got a cloud Mom reclaiming. Where's this fit in? Where >> this fits into essentially any place for a visa is running. It doesn't matter if it would run on via MacLeod and for any other for cloud partnerships or on the the edge of our Vesey runs. This is a core capability of the sphere, so it doesn't matter. You know where physically or infrastructure is, we would be able to expose this technology. The idea is also that you mentioned the trends in the A six as they're coming into the enterprise. There's an architectural changes also coming in, and in the server perspective, it's just it's the servers are actually getting more dense there, in there, in there in the accelerator infrastructure that they have in them. So you're seeing four to a GP using a single server. Those are very powerful machines. You can just move oil, represent a single machine again. That brings us back to be fusion and descend. The segregated model affects territory used, which is very similar by the way to centralize stories use. >> You guys are on something really big here. I think that hardware assists off load anything. Hardware system, harbor off load is gonna be a more of a bigger trend. And we saw it happen big time and hyper converge just for storage and everything. But I think as you want to stack where kubernetes gonna flourish? Yeah. I mean, imagine all the service is that he turned on Turned off. I mean, that's not I mean, men even know when it gets turned on or off. >> Absolutely offload for awhile with things like a raise, right, trying to push processing off to a bigger ray that you've got there. And then one other thing you said that I think was really important is the audience, right? If you look at a i n m l, we have traditionally haven't talked to the data, scientists of the machine learning folks. And we need to get to the I t. Folks that air supporting those workloads saying similar to some other workloads that were new and saying these were gonna come your way. And so we need to be prepared and you need to be able to leverage. So >> what's the What's the pitch to those folks? What's that? What's what you guys saying to them? Because it is a benefit for Debs and Dev Ops is to have an ops right. You got the ops down. Okay, see that and this change happening. But a dev, What's the pitch? But how do you get their attention? What's the value proposition? >> The the Actually, that's the beauty of it. It's exactly the same bottle proposition that the sphere in Vienna, where the Vienna state provides the developers and the only thing is that now we are letting the the office people to actually provide this doing this infrastructure as well in the same efficient manner. So it's your transformation. Basically, it's giving the exact same value proposition. >> Talk about the multi cloud tie in here. We've heard a lot about multi cloud and I think multi cloud in part anyway, is being able to run any application and workload anywhere. And one of things about your technology is the ability to not have to rewrite the application to take advantage of acceleration. Does it fit into multi cloud? And if so, how? >> Yeah, when we made the bet Fusion acquisition, if you look at their story, they had the any any any story as well, just like we do. And so, you know, we made announcement this week within video and eight of us and VM, where it's definitely possible of the technology that we have to extend that even further. And so, you know, the only thing I know with users going forward is they're gonna have more than one cloud, and so we just need to prepare for that and make sure that it works. And it works well across the board and the common layer. When you look at our multi cloud strategy is vey sphere is going to be at each of those layers. So if it's ties in disease here, it should be pretty easy to make it work in each of those environments. >> What was that What was the announcement you made you share? The big >> one was being able to use in video in the context of cloud in AWS. So's GPU capabilities and bring it to the service as we do on Prem. And so that was a big piece. And then we also obviously, in making that announcement talking about Hey, you know, this is a critical area for us because not only are we doing this, but we're also saying that your bit fusion will help enhance this because we think in video and bit fusion work very well together as well. >> And is that a product of service? Ah, go to market initiative. >> In the case of the coordinated us, it would be offered as part of the service. So when you can consume the compute, you know you want a GPU, it'll be there for you to help run that workload in the cloud. >> And that's available. When >> that's an nvidia in AWS kind of question. When they are making that infrastructure available, it's essentially going to be a nun. In another instance, type that the ember cloud in AWS will offer okay, I >> mean, it's a tech preview. >> What if some of the things that people should know about because again, in the pattern I'm seeing here of'em world is as in love to stack with kubernetes being that abstraction layer that guessing eyes promoting heavily on rightfully so. We're big fans communes with that for the beginning is that you're gonna have this this purpose built, um, native capability so that when you guys got this native vibe going on native to hype the sphere native TSX native, what does that actually mean? Native like Cooper, naked native on I. But what does it native mean? Explain to the audience what that actually means. >> I'll start up. Sure. You could >> elaborate 30 minutes if you want. But what is that >> true native native? The idea >> for us was used kubernetes really two ways. You know, most of the time when we were talking about Cooper Naser Containers, it's running that on top of these Fair right? What happens if you could take the DNA of that and put it actually inside of east here? Right, so not only you could run these clusters and native pods, but you could also leverage some of the value and one of the things that Cubans does really well is it handles workloads really well. So if we take an example where we have 145 e ems and they make up your app, right, normally you'd have to go to each one of those and figure out OK, let's make some changes in tweaks. And now what I can do is I can treat all of those is one workload and I can move them. I could do really interesting things with that. And that's the power one of the powers that you have with Kubernetes. >> And that's where the differentiation. Then you don't think that there's a >> Yeah, exactly. I mean you are essentially getting There are a lot of benefits our customers, our values value that the customer is getting today from V Sphere, generically speaking, and our longtime customers are familiar with the value propositions. And what we are saying is that when you're getting something as a native capability is that essentially ties into all the other capabilities that you already were know very well and you will be able to get those. But with on top on, sometimes on top orbit in conjunction with what >> is that gonna enable? Now let's talk about the enablement. >> So let's go back all the way. If you go all the way back to be fusion, for example, if you enable it is a native technology, then if you're running containers or viens on the sphere natively they can consume to be fusion technology. If you have cool, it is. It can orchestrate natively, the PM's and containers that are using the confusion to collision. Excited. Oh, so this is the whole thing, >> more efficient platform standpoint, >> and it's easier to manage as well, because you don't have to install a bunch of stuff on top of each other because it's needed. It's part of the first. >> A lot of hassle go away that people might >> take it in and you're gonna have to guess tomorrow they're going to go deep into it with >> you. Great, we're excited. So we're hearing a lot, obviously, but kubernetes at this event and and but most of the audience, they're not developers. So how can you use the sort of bit Fusion mojo to attract developers for some of these new workloads, that air come into the marketplace? >> Yeah, I mean it's all about acquiring new audiences in a case of infusions. More the data scientists. In the case of the communities, it's more around the developer. But I think let's use the kubernetes examples as a good one and what we announced with Project Pacific. Basically, the way it looks, the technology looks to them. It'll look like the kubernetes, a p I with a little bit of east for goodness from the operator perspective, the people that we know the 20,000 that are here, it looks to them like the sphere was from kubernetes Goodness. So that's the right mix is you've got to get it. So it looks exactly the smells and feels just like what they're used to. And I think that's a that's a key aspect. And then for the data Scientists with fusion, we really need to say Okay, you know you want to run these workloads, but she's you're paying really a lot of money for these expensive, isolated devices, and you could get more value by kind of grouping them up and making sure that they're used kind of in aggregate, right? >> So there's more leverage on the data science side So if I'm say hiring someone I know I'm or more to work with with >> exactly, essentially, it's it's the same story. They don't need to change their applications, their framework. Their models use the same could interface, which is the GPU interface for for the GPS computer. >> So So let's talk about that. So data scientist, you know, they always complain that most their time is spent wrangling data That's their, you know, bugaboo. And then there's a collaboration between data scientists and developers, which probably doesn't happen enough. What are you seeing in terms of the trends from the data science role? And can you help solve some of those problems? >> Well, what we are about to solve is really access access to infrastructure for them. Easy access to the infrastructure in their software stack. And the way to get there is to make the data engineers that serve these data scientists and the application administrators that surges data scientist to get easy access to the infrastructure Dany to provide the software, and that's where the sphere eventually comes in. So it's not the Celia direct relationship with the end users. It's more enabling the entire organization that actually served these end users and let them use as much infrastructure as your partners. And >> that and that and user organization. The buffer >> guys last question share what the plans are. What's next? What's your goals for the next 6 to 12 months? I'll see. Get the acquisition under your belt. Native in these fear, a lot of other cool things. I mean that I could talk about >> customers and maybe you can talk about product from a customer perspective. You know, we want engage in proof of concepts. So we want to bring them in, let them test out the software. It already works with the beast here, so I'll be running with multiple proof of concepts across the globe. We >> use cases in the U. S. Case or what? >> Yeah, I mean, it's it's pretty simple at the moment. It seems to be most people that are using GP use around ml. We have a great demo down the floor that shows people trying to run inception, three year resident 50 And how can we actually help those v EMs that are running that? So that's gonna be my focus. The next six >> years you want get some use cases come over here, bring him up to Mike. >> And from that perspective, I mean, obviously, we acquired occasion in an early stage. The technology works well. It works well enough to be product eyes. However, Veum, wherein the sphere has very high enterprise software stone standards in terms of security and management and governance. All this capabilities so that's going to be are focused on the next, you know, even almost a year to make sure that we bring it up to a level where we can confidently provide it and sell. It is a product >> you gotta engineering hye bar there absolutely thanks to Russia coming on keeping the update, the end world coverage Breaking it down. 2019. It's the Cuba job for David. Thanks for watching Be back with more after this short break.

>> from San Matteo. It's the Cube covering scaler. Innovation Day Brought to You by scaler. >> Welcome to this Special Cube Innovation Day. Here in San Mateo, California Scale is headquarters for a coast of the Cube. We're here with two great guests. Claudia Carpenter co founder Andy McAlister, Who's Dev evangelist? Uh, great to have you guys here a chat before we came on. Thanks for having us >> Great to be >> so scaler. It's all about the logs. The answer is in the logs. That's the title of the segment Them. I'll see the log files with a lot of exhaust in their data value extracting that, but it's got more operational impact. What's what's the Why is the answer in the locks? >> Because that's where the real information is. It's one thing to be able to tell that something is going around when your systems, but what is going wrong as engineers, what we tend to do is the old print. If it's like here's everything I can think of in this moment and leave it as breadcrumbs for myself to find later, then I need to go and look at those bread crumbs >> in a challenge. Of course, with this is that logs themselves are proliferating. There's lots of data. There's lots of services inside this logs, so you've gotta be able to find your answers as fast as possible. You can't afford Teo. Wait for something else. T lead you to them. You need to deep dive >> the way you guys have this saying it's the place to start. What does that mean? Why? Why is that the new approach? >> What We're trying to differentiate because there's this trend right now in the Dev Ops world towards metrics because they're much smaller to store it, pre digesting what's going on in your systems. And then you just play a lot of graphs and things like that. We agree with that. You do need to be able to see what's going on. You need to be able to set alerts. Metrics are good, but they only get you so far. A lot of people will go through. Look at metrics, dig through and then they stop, switch over and go to their logs. We like to start with the logs, build our metrics from them, and then we go direct to >> the source. I think a minute explain what you mean by metrics, because that has multiple meanings. Because the current way around metrics and you kind of talked about a new approach. Could you just take a minute? Explain what you meant by metrics and how logs are setting up the measures. The difference there. >> So to me, metrics is just counting things right? So at log files of these long textual representations of what's going on in my system and it's impossible to visually parce that I mean literally 10,000 lines. So you count. I've got five of this one in six of this one, and it's much smaller to store. I've got five of this one and six of this one, but that's also not very much information, so that's really the difference. >> But, you know, we have customers who use their metrics to help them indicate something might be wrong inside of here. The problem is, is that modern environments where we have instant gratification, needs and people you know, we'd be wait five seconds. Basically, it's a law sale online here. You need to know what's went wrong, not just where we went wrong or that something went wrong. So building for the logs to the metrics allows you to also have a perfect time back to that specific entrance ancient entrance that lets you be you out. What was wrong? >> He mention Claudia Death ops. And this is really kind of think of fun market because Dev Ops is now going mainstream and see the enterprise now started to adopt. It's still Jean Kim from Enterprise. Debs estimates only 3% of enterprise really there yet. So the action's on the cloud Native Public Cloud side where it's, you know, full blown, you know, cloud native more services. They're coming to see Cooper Netease things of that nature out there. And these services are being stood up and torn down while the rhythmically like. So with who the hell stores that data? That's the logs. The nature of log files and data is changing radically with Dev ops. I'm certainly this is going to be more complications but developers and figuring out what's what. How do you see that? What's your reaction to that trend? >> Yeah, so Dev Ops is a very exciting thing. At were Google. It was sort of like the new thing is the developers had to do their own operations, and that's where this comes from. Unfortunately, a lot of enterprise will just rename their ops people devil apps, and that's not the same thing. It's literally developers doing operations, Um, and right now that it's never been so exciting as as it is right now in the text axe, because you could get so much that's open source. Pre built glue this all these things together. But since you haven't written the code yourself, you've no way deal which going on. So it's kind of like Braille. You've got to go back and look and feel your way through it to figure out what's going on. And that's where logs come into play. >> The logs essentially, you know, lift up, get people eyesight into visibility of things that they care about. Absolute. So what's this red thing? Somebody read what is written? Rennes. >> One of the approaches. You'll hear things like golden signals. You'll hear youse, and you'll hear a red Corvette stands for rates, a rose and duration. And ready is a concept that says, How do you actually work with some of these complex technologies working with you're talking about and actually determined where your problems are. So if you think about it, rate is kind of how much traffic's going through a signal for this as a metric, it's accumulative number. So to back to Claudia's point, it's just number here. But if you're trapping goes up, you want to know what's going wrong here is self explanatory. Something broke, fix it, and then duration is how long things took. You talked about communities, Communities works hands in hands with this concept of micro services. Micro services are everywhere, and there were Khun B places that have thousands of little services, all serving the bigger need here. If one of them goes slow, you need to know what went slow as fast as possible. So rate duration and air is actually combined to give you the overall health of your system. While at the same point logs elect, you figure out what was causing >> the problem we'll take. I'm intrigued by what Claudia said. They're on this. You know, Braille concept is essentially a lot of people are flying blind date with what's going on, but you mentioned micro services. That's one area that's coming. Got state full data. Stateless data. They were given a P I economy. Certainly a state becomes important for these applications. You know, the developers don't may or may not know what's happening, so they need to have some intelligence. Also, security we've seen in the cloud. When you have a lot of people standing up instances whether it's on Amazon or other clouds, they don't actually have security on some of their things. So they got it. Figure out the trails of what the data looks like they need the log files to have understanding of. Did something happened? What happened? Why? What is the bottom line here? Claudia? What what people do to kind of get visibility So they're not flying blind as developers and organizations. >> Well, you gotta log everything you can within reason. They always have to take into account privacy and security. But logs much as you can and pull logs from every one of the components in your systems. The micro services that day was just talking about are so cool. And as engineers, we can't resist them way. Love, complexity >> and cool things. >> Things especially cool things and new things. >> New >> green things. Sorry, easily distracted. But there they are, harder to support. They can be a really difficult environment. So again it's back to bread crumbs, leaving that that trail and being able to go back and reconstruct what happened. >> Okay, what's the coolest thing about scaler since we thought about cool and relevant? You guys certainly in the relevant side thing. Check the box there. What's cool? What's cool about scaler telling us? >> That's great. Answer What isn't. But you know, honestly, when I came to work here, I no idea I was familiar with Log Management was really with long search and so forth. And the first time I actually saw the product, my jaw dropped. Okay, I now go to a trade show, for instance, and I'm showing people to use this. And I hit my return button to get my results. And you showed band with can be really bad and it stalls for 1/10 of a second, and I complain about it now. No, there is nothing quite as thrilling as getting your results as fast as you can think about them. Almost your thought processes the slow part of determining what's going on, and that is mind boggling. >> So the speed is the killer. >> The speed is like what killed me. But honestly, something that Chloe's been heavily involved in It takes you two minutes to get started. I mean, there's no long learning curve there. You get the product and you are there. You're ready to go >> close about ease of use and simplicity, because developers are fickle, but they're also loyal. Do you have a good product? They loved to get in that love the freebie. You know, the 30 day trial, They'll they'll kick the tires on anything. But the product isn't working. You hear about it when it does work. This mass traffic to people you know pound at the doorstep of the product. What's the compelling value proposition for the developer out there? Because they >> don't want to >> waste time. That's like the killer death to any product for development. Waste their time. They don't want to deal with it. >> So we live in the TL D our world right now. Frankly, if I have to read something, I usually move on on DH. That's the approach we take with scaler as well. Yes, we have some documentation, but I always feel like I have failed with the user interface design. If I require you to go read the documentation. So I try to take that into account with everything that we that we put out there making it really easy and fast it just jumping in, try stuff. >> How do you get to solve the complex complexity problem through attraction software? What's the secret sauce for the simplicity of this system? >> For me, it's a complete lack of patients. It's just like I wouldn't put up with that. I'm not gonna ask you to. Frankly, I view this sounds a little bit trite, but I've you Software's a relationship, and I view whoever is looking at it as a peer of mine, and I would be embarrassed if they couldn't figure it out if it wasn't obvious. But it is. We do have this sort of slope here of people who really know what's going on and people wanna optimize. This is your 80 20 split on people that don't know what just want to come in. I want both of them to be happy, so we need to blend those >> to talk about the value proposition of what you guys have because we've been covering you know log file mentioned Lock Management's Splunk events. We've gone, too. There's been no solution that I think may be going on 10 years old, that were once cutting edge. But the world changes so fast with Amazon Web services with Google Cloud with azure. Then get the international clouds out there as well. It's it's here. I mean, the scale is there, you got compute. You got the edge of the network right around the corner in the data problem's not going away. Log files going be needed. You have all this data exhausted, these value. >> If anything, there's always going to be more data that's out there. You're going to have more sources of that data coming in here. You're talking a little bit about you have the hybrid cloud. Where's part on prom? Part in the cloud. You could have multi clouds where across his boundaries. You're gonna have the wonderful coyote world where you have no idea when or where you're going to get an upload from too. This too and EJ environment. And you've got to worry about those and at the same time time, the logging, everything, the breadcrumbs. You have ephemeral events. They're not always there, and those are the ones that kill you. So the model is really simple and applaud Claudia for conning concept wise. But you're playing with concept of kiss, right? We'll hear its keep it simple and sophisticated at the same time. So I can teach you to do this demo in two minutes flat, and from there you can teach yourself everything else that this product's capable of doing it. That simple >> talk about who? The person out there that you want to use his product and why should they give scale or look what's in it for them. >> So for me, I think the perfect is to have Dev ops use it. It's developers. We really have designed a product less for ops and more for engineers. So one of the things that is different about scaler is you have somebody come in and set it up, parsed logs that ingestion of logs, which is different than splunk and sumo on DH. Then it's ready to use right out of the box. So for me, I think that our sweet spot, his engineers, because a lot of our formulations of things you do are more technical you're thinking about about you know what air the patterns here. I'm not going to say it's calculus, because then that wouldn't be simple. But it's along. Those >> engineers might be can also cloud Native is a really key party. People who were cloud native. We're actually looking at four in the cloud or cloud migration, >> right way C a lot. For instance, in the Croup. In any space from the Cloud Native Compute Foundation, we're seeing a tremendous instrument interest in Prometheus. We're seeing a lot of interest in usto with service mesh. The nice thing is that they are already all admitting logs themselves. And so, from our viewpoint, we bring them in. We put them together. So now you can look at each piece as it relates to the very other piece >> Claudia share with the folks who, watching this just some anecdotal use cases of what you guys have used internally, whether customers that give him a feel for how awesome scaler is and what's the what could they expect? >> Well, put me on the spot here. Um, >> I'll kick off. So we have a customer in Germany there need commerce shop, They have 1,000 engineers for here. When we started the product we replace because it was on a charge basis that was basically per user. They came back and they said, Oh my God, you don't understand our queries Air taking 15 minutes to get back By the time the quarry comes back, the engineer's forgotten why he asked the question for this. And so they loaded up. They rapidly discovered something unique. It's that they can discover things because anyone can use it. We now have 500 engineers that touch the log files every day, I will attest. Having written code myself, nobody reads log files for fun. But Scaler makes it easy to discover new things and new connections. And they actually look at what house >> discoveries of real value, proper >> discovery is a massive value proposition. Uh, where you figure out things that you don't know about back to that events thing that Claudia started about was, you can only measure the events that you can already considered. You can't measure things that didn't happen >> close. It quickly thought what the culture on David could chime in. What's the culture like here scaler? >> It is a unique culture and I know everyone probably says that about their startup, but we keep work life balance as a very important component. We're such nerds and unabashedly nerds. Wait, what we do. It's a joyful atmosphere to work in. Our founder, Steve Newman, is there in his flat, his flannel shirt, his socks cruising around. Um, and we are very much into our quality barcode. We have a lot of the principles of Google sort of combined into a start up. I mean to say it's a very honest environment, >> Sol. Heart problems make it a good environment. >> Yeah, and I value provide real values, are critical >> for me and have fun at the same point in time. The people here work hard, but they share what they're working on. They share information. They're not afraid to answer the what are you working on? Question. But we always managed to have fun. We are a pretty tight group that way. >> Well, thanks for sharing that insight. We have a lot of fun here in Innovation Day with the Q p. I'm John Furia. Thanks for watching

>> live from Anaheim, California. It's the queue covering nutanix dot next twenty nineteen Brought to you by nutanix. I'm >> just going to hear you. >> Welcome back, everyone to the cubes. Live coverage of dot Next here at the Anaheim Convention Center in California. I'm your host, Rebecca Night, along with my co host, John Furrier. We are welcoming to the Cube. George Canuck. He is the vice president. Worldwide sales and channels absent us. Thank you so much for coming on the Q. >> Thanks for having me excited to be here. >> So here we are on the convention floor. Sixty five hundred attendees. You actually have a booth here? Yes, you do, actually. Right over >> there. Take a look. Orange logo. >> Very handsome logo. So tell it for our viewers who are not familiar with your company. Tell your Austin, Texas based tell tell our viewers a little bit about what you do. What's what sentences about? >> Sure. So we help professionals do something really important, ultimately solving a big problem for them, which is keeping customers happy. So we're looking at we provide a suffer platform that looks at all of the underlying infrastructure that's actually supporting the application itself. So they're trying to deliver APS and services their customers a happy customers. Somebody clicks their phone or their laptop and just gets to that service. We make sure that that app is available and healthy, but looking at everything underneath it. Whether that's Ah hybrid cloud, it's a private hcea type cloud as well. Or it's micro services or its legacy infrastructure. It doesn't matter. We talk to it and we help make sure that everything's working properly. >> But it works the way it's supposed to >> exactly way had the chief product officer on scene eel from New Chantix talking about hyper convergence. The benefits of that Yeah, it's also thought the hyper converge clouds, I guess, with the lack of a better description that that rules going there, too, When you start to get into this resetting of the infrastructure elements on premises and also in hybrid multi cloud Yeah, a lot of problems arise. They did a huge issue. So can you give us some color commentary on your thoughts on where customers are here summer summer like, Well, we're not there yet. Summer stuck running out of gas or stuck in the mud, and some just saying, you know, we're all in on the cloud, So different profile makeups of sure Wow, adoption. >> Yeah, let me talk about a little bit. So I heard a stat recently that the current adoption of enterprises for clouds about ten percent. So ten per cent of workloads today in the cloud doesn't mean that there isn't a lot of growth and a lot of people aren't trying it, but only ten percent are there. And in a lot of cases, the more progressive organizations actually did move workload with cloud they got there. They found out that maybe things were more expensive than they thought or didn't quite perform well and they took a step back and retooled it. It really was for Nutanix, I think personally Ah, very good time for them to step in with this notion of a private cloud. It's sort of that step in between for some of them. However, when you look at it from our perspective, we you know, we've been around since two thousand five. We started his open source and moved into a commercialized product. We've worked with some of the biggest banks. Insurance companies tell echoes and even MSP is in the world. We've seen that the certain workloads have moved to the cloud pretty quickly or too hyper converged. But yet there's still a lot that hasn't and there's a lot of unknowns that air there. In some cases, it's a function of Is the team ready to make the move and other cases? Is the culture of the organization ready to make the move? For us? It doesn't matter because we can look at all of it. But we can make it easier for them because we actually help them. Look at the various workloads in the performance of those abs and how how they would perform. And they make a move to the >> T. Want to get your thoughts on the psychology of the the environment, the buyer or the abuser. Whenever is a changeover to new technology or new desktop or, you know, cloud, the expectation is better run better, so coming around faster and better, better user experience. Yes, so this kind of puts you guys on the pressure cooker because you guys have toe monitoring starts working worse than it was before. Yeah, so table stakes now is be better. Be faster whether it's a VD, I roll out or cloud implementation. How do you guys hate a lead? >> We know there's there's a piece that actually happens before that. So the first step that we see that happens for organizations making the move is actually rationalizing the views of the truth. That makes sense. And so, in a lot of organizations, there are different silos. I've been in meetings where the Dev Ops team, the same team running service now, for example, and the cops are meeting each other, shaking hands and saying, Hi, Jane. Hi, Bob. Great to meet you for the first time. And that is being Those meetings are being held by what I'LL say are more progressive leaders, the CEOs and GPS. But the first thing that happens is every group says we'LL have this basket of tools that I'm using to make sure that my customers are happy and they have to rationalize all that one of our customers. Huntington Bank had thirty seven tools in place to look at every single part of the business and get that one view and he could match. It's pretty difficult we helped to make that transition. If they're culturally going to make the switch than having a grip on what's working. Now we'LL help them replicate that when they make the move Teo Private cloud or Public cloud. That makes sense. >> Yeah, totally does. And they also mentioned the status quo. A lot of companies don't want to rock the boat. Yes, when they bring in new technologies. How do you see that playing out? Because one of nutanix is advantages that they get in. They change agents? Yes, and cause some benefits there for the customer, and then they grow from there. But yes, the people still gonna buy the old old stuff. >> Yeah, well, so you know what's interesting? So we have a change agent who's a friend of ours that nutanix a customer. So Wendy, fight for the CEO of NUTANIX is actually a customer of ours. They call themselves customer zero. If you've read her interviews, she they drink their own Champaign. And she recently we interviewed her and she talked about that change. And I believe it does need to come from the top town. So progressive leaders will introduce that change of the business and honestly make it comfortable for their team to take risks because it is a risk making a move any of these technologies. I think when you when we look at the I guess the simplest migration for a customer to HCR Private Cloud, it is going to be maintaining that visibility across the legacy into the new world that's going to be critical for them. That view, by the way, is one that that even the CEO wants and the CEO. >> I want to talk about the changing role of the CEO because because it is it is a very big theme and trend in this industry. And you keep talking about this idea of a progressive CEO, and this is someone who is willing to take risks. Willing Teo, tear down silos, make sure people are collaborating. Can you talk a little bit more about what you see as the people who are best at their jobs? Yes, best CEOs out there and what they're doing, what they're doing differently, >> right? Well, so I mentioned these groups meet for the first time the cops, the Dev, Ops and Sam, and probably other groups that come into those rooms as well. The profile today of a lot of the CEOs and the Final one is someone who came up through the operations organization more than likely, and they understand how that world works. They've had to. For some of them, it's been unease e transition to bring the Dev ops folks into the room. I think about this, right Cops roll is in the past. Bring me an apple. Make sure runs flawlessly on this amazing gear that I have. The Dev Ops role is I'm going to take a nap. I'm going to run it on this gear and I'm gonna optimize the app. So it's a different view to get to the same problem in the other end. And so I would tell you that it is about being progressive and that role has shifted. It's very possible the next batch of CEOs will come out of the developer organization one more quick common on that. So there's a pretty provocative Forrester wave that came out a few weeks ago that we're in who for the first time didn't look at the type of tech they actually looked at. The problem being solved and the problem, as they categorize it, is intelligent application and service monitoring. So it is about services and APS running well on DH. There are more than one technology to solve that problem. We're pleased Tio have been recognized for our thought leadership. That's >> how do you guys handle the potential blind spots in the observation space that you guys have to look under the covers and look at everything? How do you guys identify potential blind spots? What's what's you guys filtering out? Take us through an example? >> Sure, we'LL sue a couple things that'LL help you get to the blinds. So there are a lot of blind spots, especially have multiple tools. There's blind spots. The second part of that that's pretty relevant, is getting complete visibility to all the right folks in the organization. So one of the first things we do is look at that entire surface, if you will, the entire landscape lay it all out and started the top with the service and show all the dependencies of everything underneath it. We call that the model, so when the models in place, then we can show the impact of change on the model that could be a bad piece of gear. It could be a bad piece of code. It doesn't really matter to us. We're looking at it that way. That's that's probably the first step in it. The second piece that goes along with this is something we did intentionally, which is we brought a I into the mix. So we partner with Google. We actually pivoted much like Nutanix did a number of years ago last year really seen as cloud and brought in the A, A A and M L capabilities of Google, primarily because the amount of information coming out of all these complex infrastructures is more than a human could handle. So we're using that ay, ay to help look at each anomalies problem as it happens each potential blind spot and uncover that using the technology to determine. Is it a real problem for me, or is it just noise? >> It's interesting you bring up the I T Ops and Dev ops thing. You know one thing that Google proved out. I've been saying this on the Q as you know, for years and recently highlighted at the recent next conference, they nailed the whole s sorry thing it's light reliable with the engineer, and they didn't do it as a strategy to try to get market share. They didn't because they had their own problem. Yeah, that was massive scale, lot of automation, A lot of software. But they had a development environment of debs and ops. Was about one human. Too many machines? Yeah, relationship. That's essentially what you're getting at. Here it >> is. Actually, it's It's interesting. You know Mike Nickerson from Google, who published some of the interesting initial charts, kind of like a Maslow's hierarchy of Sorry, the foundational level actually is monitoring. It's sort of like a RH or water or safety on DH. Having that visibility is the first piece, The one thing all city though you touched on automation, the all that information, the world and all that, eh? Eyes kind of worthless if you can't actually automate the back end of it. So we spent a lot of time working with either cloud optimization, you know, a DBS Lambda or Google of Claude Function. Or we're looking at things like pup in Chef just to automate all of that other end of it. We have a term we use. We called software defined. It stops when you get to the point where the inputs more than a human can handle. They won't deal to react fast enough. A lot of our tools, the human's air used This sounds like I'm talking about the sky net, but a lot of the tools the humans use our eyes. Actually, in forensic analysis, when a problem happens, the remediation and the and the pro activities happening through the machine, you >> know where it's kinda went. Dog starts sniffing out Bala where I want to get the machines, actually, on the stack related question. You know, one of the things we heard from so Neil, the chief product officer, was the multi cloud battles will be fought on the top of the stack or up to stack. So the question is, what line or what? What? What's the line for under the hood now? So as you look at micro services and Deb, ops continues to go with Cooper Netease and service meshes. Yeah, you're gonna have a serious of service is being turned on terror. Tauron down all the times, right? So that challenges on the B on the monitor monitoring and observation. So where do you guys go? How high up do you go? Is there a line where the hood is? What's under the hood? What's about you? Do you think that's >> a fantastic question? I couldn't have asked for a better one. So the one side of it is house. Yeah, performing that sort of above the hood if you will write. And we are looking at that and we're looking at all the way to the level of down to the experience of that application and how it runs on the infrastructure. But we go all way down to the bare metal is well, because we think there's a value in doing it. There's a couple of concepts out there around server. Listen, by the way, Xena's cloud is a survivalist deployment. So, actually, you know, eat her own dog for you. Drink our own Champaign when it comes to this tack. But that notion of below the hood for us is all the way down to the bare metal, and that visibility, if you want to look at it in another way, is actually the great high quality data and raw material to drive the II and the output. It if you have to make sense of the other end of it. Yup. >> I want to ask you about the show. So at how many? How many of these have you been to? And what What's your experience? What are you? What do you What do you hoping to bring back with you to Austin today myself. >> But for Nutanix, we've been We've been a partner with Satanic since since we started working there as a customer, which would have been probably late. Twenty sixteen, twenty, sixteen. We started doing the shows last year. We did we actually attend as a partner. We attend some of their meetings and the partner part's important to come back to in a second, but a zeo as a technology partner initially. Now we're moving into a point we were trying to sell with the team and help them bring our visibility to their customers. The last thing we did was was next Europe, which is a fantastic show in London last fall. And we've also done a lot of the road shows in the cities. The thing we love about it is we both talked to the same customer. Both have the same people were talking to the one thing we're trying to do. And I know that Nutanix is as well as we want to bring more of the developers and Dev ops crew into it. We believe they need to be a part of the discussion. So something we're trying to help facilitate. But but this show has been fantastic for us. Yeah, >> and to your point about the developers, we're seeing that in the infrastructure worlds, not just operation work. There's Debs in there now. Yes. Automating away these mundane, repetitive tasks. Yeah, I think I think it's >> more friendly than it was for sure. >> All right, >> we'LL take your word for it. Thank you so much, George. For coming on. The Cuba was a pleasure having you on. >> Thank you. Pleasure meeting about. Thank you so much. Take care. >> I'm Rebecca Knight for John Furrier. We will have so much more from nutanix dot Next coming up in just a little bit

>> fly from San Francisco. It's the Cube covering Google Club next nineteen, right Tio by Google Cloud and its ecosystem partners. >> Okay, welcome back, everyone. We are here live in San Francisco for cubes. Coverage of Google next twenty nineteen. Hashtag Google. Next nineteen, Google's Cloud Conference, where their customers, developers all come together Cubes. Three days of coverage. Day one. I'm John forward, my Coast, Dave Aloft as well. Astute many men Who's out there doing some reporter? Next guess Allison. Wagon filled is the CMO of Google Cloud. Great to see you. Thanks for joining us. >> Thanks for having me. I'm glad to be here, >> so I got to say, looking out on the floor here, we're in the middle of the floor. Great demographics. A lot of developers, lot of enterprise customers. A lot of you know, sea levels will also enterprise architects and cloud architects. So this is not just a developer fest. This is a business developer conference. >> Yes. So that's been a real change this year. Not only have we increase the numbers I think I mentioned earlier that we have thirty thousand people are actually able even more than that. We had a cap registration we sold out last week. But the composition is different this year because this year we have over seventy percent from enterprise companies and then within enterprise Cos it's Dev's decision makers, business leaders. And then we have a whole executive track of leader Circle program as well. So it's been a really great mix of different energy, different questions in different sessions. >> You guys do a great job in event kudos to the team original Google Io was a great event that continues to be the consumer side on Google. You guys have that same kind of grew swing going on a lot of sessions. Take him in to explain the theme of the show. What's going on around the events? Breakouts? What's the focus? >> Yes, so the focus? Well, there's a theme and a couple different levels. The broad theme is a cloud like no other, because we've introduced a lot of new, different features and products and programs. We introduced Antos this morning, which was really revolutionary way of using containers broadly multi cloud, high but cloud. So it's from a product standpoint, but it's also a cloud like no other, because it's about the community that's here, and it's truly a partnership with our customers and our partners about building this cloud together, and we see the community as a really key part of that. It's really corta Google's values around openness, open source technology and really embracing the broader community to build the cloud together. >> And I thought was interesting. The Kino was phenomenal. You had the CEO of Google come out Sundar Pichai and the new CEO on the job for ten weeks. T K >> Sommers. Korean. Yes. Lot of action >> going on a Google right now. >> Yeah, it's been great to have Thomas. Diane was phenomenal and building the business. It's wonderful. Have Sundar here. He's got a lot of commitment, really engaged with our customers. And so it's a lot of energy and a lot of excitement. A Google. >> I thought the vory class act of Thomas Curry and his first words on stage at the CEO was to give props. The Diane Green very, very respected, that was >> great, was very gracious of, Thomas >> said. Sorry, he said. The press, sir, that one of things I really like about Google is not afraid of hard problems, So I wanted to ask you a CMO I always asked the most about brand promise. What's the brand promise? That you want customers and the community to take away from an event like this? >> So the brand promise has a couple different areas. First and foremost, we want our customers to be successful with their customers. And so we think, really holistically about lessons. Make sure that we're delivering the cloud technologies so that customers can really serve everyone that they want to serve, whether it be a retailer that wants to create a wonderful, offline and online experience, whether it's a health care provider that wants to ensure that every doctor, it knows all of the right data about all the patients or within a hospital. And so that's the way we're always thinking is how do we ensure that we help our customers set up to be successful? >> So one of the big teams we heard this morning was the industry focus, and you just referenced that again. It seems to be an increasingly important part of the messaging and the technologies that you're creating, and it ties into digital transformation. You seeing every industry transform data is at the heart of that transformation. You're seeing big companies traverse different industries. So what if you could talk about the industry focus? Uh, where'd that come from? Where do you see it going? >> Yes, So there's really three core parts of what we've been talking about today. First and foremost is the infrastructure and ensuring that we have the world's best infrastructure. Then, on top of that, it's ensuring that we have all the right applications to help with digital transformation. And then, as part of that further, is the industry solutions. Because in our six focus industries, we want to make sure that we're really developing the right applications with the right solutions and half a deep expertise that companies are looking for so that we can really part with partner with them and really, truly be innovative. And we could feel much more comfortable being innovative. But we really understand our customer problems >> keep Part of that is the global s eyes. You look out here, you see all the big names I won't name because I'll forget one. But there's two obvious ones right there because once you start to see those guys come into the ecosystem, that's when you can partner and get really deep industry expertise globally, >> I agree. And so we do have a great partnerships that said here with Accenture in tow, Lloyd and Antos or three of them, many more that we were working really closely with. And there really are an extension of what we want to build because we know that we will not be able Teo create every single last mile industry solution and every single industry, and working with those companies really helps us. >> I was on the plane last night watching the game. Of course, I love you guys got to see it. You're probably appear busy, but I focused. Google was all over the this year, >> so this is our second year of our partnership with the law, and it's been great. There's a couple dimensions to that partnership. First and foremost, we help them analyze eighty years worth of data. And through all of that analysis, we've been working with him about making predictions about games in helping them understand players and coaches and teams better. Everything from creating brackets. Teo, how do you fan experience? And then as part of that, we also had opportunity to do some advertising within their games. So you may have seen some of the TV spots that we did, which was about analyzing that data. We put ourselves on the line by making predictions during the game about what we thought would happen based on all of our analysis. And then the Big Chef this year was we included students, so it was really studies. Last year we created all these models, but we did it within Google. We had Google, Debs and Google engineers creating prediction models. We said, like, What if we brought students in tow? Help us? So we recruited thirty or so all star students around the country from their schools, brought them together. They learned DCP like that. It was awesome. And then they started working together doing predictions. And so a lot of what you saw in the Games and on our hub was actually students using Google Claude platform to make predictions about the games. >> So just get this right. The reference on stage by T K students. So you had data from the that was exposed to the students. They had a hackathon. How much lead time that they have? What was that >> did everything with thirty days. So they hack it on was about two months ago or so. But within the last thirty days, they did all of these different projects and they were actually doing really creative things about trying to come up with new types of stats like explosiveness. What does that mean? Does that mean that you move in closer to the basket or does it mean that here they're coming up, the stats around pace of game and different elements of the place? It was really fun. >> How many slam dunk this, Miss Fowles? So >> question, Who do you who you're rooting for? I was >> writing from Virginia. You know, Let's say I >> was right for >> Virginia after my bracket got busted, so I was allowed to kind of change a little bit. And they're Michigan. Once they were gone, I was like, >> So I use no way. I but I hit ninety ninth percentile. So you go. I had Michigan in Michigan State rather in Virginia in my Final Four for Michigan State. Lost, but still, I would have been >> That's pretty good >> night, point nine. So what is with what kind of predictions were the students doing well, >> predictions about everything from, well, last night we had some predictions about the number two point last. We had about how many different times we're going to exchange like the ball will go back and forth between teams. We had predictions about three pointers and one game everything. So it's been really fun. Teo work with >> that kind of in game predictions. To see that a lot. >> You probably saw some stats real >> probability of, ah, victory, which of course, last night. Forget it. I mean, it's changed so quickly. >> Great program. One of those I want to ask you change gears is you have a book in the press room called customer Voices. So this has been a focus, and I think a lot of people have been Lego Google's great tact, but not a lot of customers, which you guys air debunking with. Not only this, but here to show shown the logo slide really kind of showing the traction from a customer's standpoint. >> Yes, about >> the focus on the customer. How does that change? How you doing your job? How is the tech rolling out? Can you share some insight into customer focused. >> Yeah, this has been a really big step change this year. We have over four hundred customers speaking throughout this event, and then we have a number of them that are on stage in the keynotes telling real stories. Two years ago, we had some customers speaking and they would say, I'm looking. I'm dabbling and this But now they're making rial kind of bet The company decisions using our technology. And so this customer voices is looking at those companies. We have something called the customer innovation serious this afternoon, where the CIA of HSBC will be talking about their evolution and Gogo Cloud. Two years ago, Darrell West was on stage talking about just kind of what they will be getting. Two Dio with Google Cloud Platform And now here we are two years later, when they've made a lot of progress and we'LL be sharing their stories that the custom innovation Siri's is one of my favorite parts. It next, >> you know, we cover a lot of events. David eyes were like two ESPN of tech or game day. We've gotten the shows, we see a lot of events and you kind of hear the key words over and over again. Soon these events here we're hearing scale, which we've heard all the time. Google scales, scales, scales solve all our problems. But we're hearing more about customers. OK, this has been a big focus. How have you guys shifted internally? Because this seems to been around for a while. Like you said, I think it's a step function from what we're seeing as well. What's going on internally. How you guys mobilizing, How you guys taking this to the mark? Because you've got great partition. So Cisco onstage VM wears even up there. You got an ecosystem developing a lot of momentum. >> So we're truly this year Enterprise ready to use a buzz word that comes up. So two years ago, we still had some holes in some of our technology stack, and we're still really building to go to market teams. We still vastly scaling that so absolutely growing there. But we're in a whole different place as a business where we are able to serve really large enterprises at scale. McKesson just announced sixth largest company that they are moving and working with us a Google cloud. I mean, so these air major companies that are making big decisions to work with us. And so it's at a whole different level this year, and we're really proud that the customers have chosen to work with us, and we're building the organization to ensure that their successful. So that's our customer success program. That's ensuring we have the right kind of customer engineers working hand in hand with our customers. So it's a big focus ever. Whole group. It's a focus where Thomas Kurian has a lot of background serving enterprise customers at Oracle for twenty years, bringing that expertise. So you'LL see that everywhere. So I'm glad you picked up on that and feel it because it's really permeates everything we're doing at Google clouds, >> and it's been a good, positive change. The results of their What's the focus for you As you look forward, It's a lot to do. You guys are a great opportunity. I always say Google's dark horse now Samson's got a good lead out there being first in, but you guys have a lot of tech. You got the customer focus. You got a lot of momentum on the tech side. Cloud native Open source. Partner ecosystem Developing customer ecosystem. So kind of ball's in your court, so to speak. >> You feel really well, position we It's early. So in the whole market, people seem to think that I like all these decisions, but it's really still eighty percent of workload Zoran data centers of these big enterprises, everybody who's here with us right now. And most companies were choosing a multi club strategy this morning. We announced a major product and those that really enables the multi cloud strategy so enables Google to really be at the center of that multi cloud and provide the services using containers and a lot of the biggest best advances right now. And so as we scale our go to market, we can really bring this technology that way here, over and over again, is the best technology in the business. Yeah, we had it really had to go to market in place to bring it to customers. And this is really where we're taking it so we can help get this awesome technology. It's so fun is a marketer to them, bring it to everybody. >> I always say it so early. The wave is just getting started more ways behind it. I'm very impressed. That intrigue also by the rebranding of the Google Cloud platform what you guys announced last kind of hybrid and those is interesting because it's a rebrand slash new set of integration points Sisco again on stage kind of integrating with your container platform is a key key story that I think is nuanced but kind of points to a whole new Google. What was behind the rebranding? Can you just share some insight that what the commerce she's like Google Cloud Platforms is descriptive. But I mean, >> sister, thanks >> Cloud Services platform when we chose that name last year is when we wanted to Alfa with a product and frankly, within the marketing team, he kind of knew was always a placeholder name. And then the debate was, What do we change the name when you go to Beta, which we did a couple months ago? Or when we go to went to Gaea and we decided this would be a great opportunity to change the name, so we always knew it was going to change the name. Picking a name is always complicated, and so we spent a lot of time thinking about what way wanted that name too mean and what we wanted to stand for. And we really liked Anthros. It's a Greek word. It is a nod to the Greek aspects of the history of the product. With Cooper, Netease, Andhis, Teo and other areas. It means the blossom it means to grow. It means all. And so you many words like Anthology and things like that. So we'd liked both what it meant, And we also liked that with all Namie decisions, it's easy to spell. It's easy to find. It's all great, >> and it's super >> booming in California. Here as we speak. Well, ironic. >> It has an international flavor to it. But you guys, you guys are taking this show overseas, right? They've got a big show in London in November, I know and yes, >> be in Tokyo in July at next and then London in November. And then we do it between all of these. What we call Clouds Summit Siri's, which are in country slightly smaller. But we bring a lot of the same technology, and speakers and sessions just have a slightly scaled down version. >> Intimate. We really appreciate your support. We love doing the Cube hearing a lot of Czech athletes, as we say here on the show floor. Lot of knowledge, good customer converses. Alison's Thanks for sharing the inside congratulates on the great >> show, so I left be here. Thanks >> for rebranding as the market shifts. Great time to have a rebrand, certainly when it means something more. Multi cloud hybrid cloud Google Cloud Platform now and those that cube bring you live coverage here from the floor at Google next twenty nineteen. Stay with us for more after this short break.