>> fly from San Francisco. It's the Cube covering Google Club next nineteen Tio by Google Cloud and its ecosystem partners. >> Hey, welcome back. Everyone live here in San Francisco, California is the cubes coverage of Google Cloud Next twenty nineteen star Third day of three days of wall to wall coverage. John for a maiko stupid demon devil on things out around the floor. Getting stories, getting scoops. Of course, we're here with Sadeer has Bay. Who's the director of product management? Google Cloud. So great to see you again. Go on Back on last year, I'LL see Big Query was a big product that we love. We thought the fifty many times about database with geek out on the databases. But it's not just about the databases. We talked about this yesterday, all morning on our kickoff. There is going to be database explosion everywhere. Okay, it's not. There's no one database anymore. It's a lot of databases, so that means data in whatever database format document relational, Unstructured. What you want to call it is gonna be coming into analytical tools. Yes, this's really important. It's also complex. Yeah, these be made easier. You guys have made their seers announcements Let's get to the hard news. What's the big news from your group around Big Queria Mail Auto ml Some of the news share >> the news. Perfect, I think not. Just databases are growing, but also applications. There's an explosion off different applications. Every organization is using hundreds of them, right from sales force to work today. So many of them, and so having a centralized place where you can bring all the data together, analyze it and make decisions. It's critical. So in that realm to break the data silos, we have announced a few important things that they went. One is clouded effusion, making it easy for customers to bring in data from different sources on Prum Ices in Cloud so that you can go out and as you bring the data and transform and visually just go out and move the data into Big query for for analysis, the whole idea is the board and have Dragon drop called free environment for customers to easily bring daytime. So we have, like, you know, a lot of customers, just bringing in all the data from their compromise. The system's oracle, my sequel whatever and then moving that into into big Query as they analyze. So that's one big thing. Super excited about it. A lot of attraction, lot of good feedback from our customers that they went. The second thing is Big Query, which is our Cloud Skill Data warehouse. We have customers from few terabytes to hundreds of terabytes with it. Way also have an inline experience for customers, like a data analyst who want to analyze data, Let's say from sales force work, they are from some other tools like that if you want to do that. Three. I have made hundred less connectors to all these different sense applications available to our partners. Like five Grand Super Metrics in Macquarie five four Barrel Box out of the box for two five clicks, >> you'LL be able to cloud but not above, but I guess that's afraid. But it's important. Connectors. Integration points are critical table stakes. Now you guys are making that a table stakes, not an ad on service the paid. You >> just basically go in and do five clicks. You can get the data, and you can use one of the partners connectors for making all the decisions. And also that's there. and we also announced Migration Service to migrate from candidate that shift those things. So just making it easy to get data into recipe so that you can unlock the value of the data is the first thing >> this has become the big story here. From the Cube standpoint on DH student, I've been talking about day all week. Data migration has been a pain in the butt, and it's critical linchpin that some say it could be the tell sign of how well Google Cloud will do in the Enterprise because it's not an easy solution. It's not just, oh, just move stuff over And the prizes have unique requirements. There's all kinds of governance, all kinds of weird deal things going on. So how are you guys making it easy? I guess that's the question. How you gonna make migrating in good for the enterprise? >> I think the one thing I'll tell you just before I had a customer tell me one pain. You have the best highways, but you're on grams to the highway. Is that a challenge? Can you pick that on? I'm like here are afraid. Analogy. Yeah, it's great. And so last year or so we have been focused on making the migration really easy for customers. We know a lot of customers want to move to cloud. And as they moved to cloud, we want to make sure that it's easy drag, drop, click and go for migration. So we're making that >> holding the on ramps basically get to get the data in the big challenge. What's the big learnings? What's the big accomplishment? >> I think the biggest thing has Bean in past. People have to write a lot ofthe court to go ahead and do these kind of activities. Now it is becoming Click and go, make it really cold free environment for customers. Make it highly reliable. And so that's one area. But that's just the first part of the process, right? What customers want is not just to get data into cloud into the query. They want to go out and get a lot of value out off it. And within that context, what we have done is way made some announcements and, uh, in the in that area. One big thing is the B I engine, because he'd be a engine. It's basically an acceleration on top of the query you get, like subsequently, agency response times for interactive dash boarding, interactive now reporting. So that's their butt in with that. What we're also announced is connected sheets, so connected sheets is basically going to give you spreadsheet experience on top ofthe big credit data sets. You can analyze two hundred ten billion rose off data and macquarie directly with drag drop weakened upriver tables again. Do visualizations customers love spreadsheets in general? >> Yeah, City area. I'm glad you brought it out. We run a lot of our business on sheep's way of so many of the pieces there and write if those the highways, we're using our data. You know what's the first step out of the starts? What are some of the big use cases that you see with that? >> So I think Andy, she is a good example of so air. Isha has a lot of their users operational users. You needed to have access to data on DH, so they basically first challenge was they really have ah subsequently agency so that they can actually do interact with access to the data and also be an engine is helping with that. They used their story on top. Off half now Big Quit it, Gordon. Make it accessible. Be engine will vote with all the other partner tooling too. But on the other side, they also needed to have spread sheet like really complex analysis of the business that they can improve operation. Last year we announced they have saved almost five to ten percent on operational costs, and in the airline, that's pretty massive. So basically they were able to go out and use our connective sheets experience. They have bean early Alfa customer to go out and use it to go in and analyse the business, optimize it and also so that's what customers are able to do with connected sheets. Take massive amounts of data off the business and analyze it and make better. How >> do we use that? So, for a cost, pretend way want to be a customer? We have so many tweets and data points from our media. I think fifty million people are in our kind of Twitter network that we've thought indexed over the years I tried to download on the C S V. It's horrible. So we use sheets, but also this They've had limitations on the han that client. So do we just go to Big Query? How would we work >> that you can use data fusion with you? Clicks move later into Big Query wants you now have it in big query in sheets. You will have an option from data connectors Macquarie. And once you go there, if you're in extended al far, you should get infection. Alfa. And then when you click on that, it will allow you to pick any table in bickering. And once you link the sheets to be query table, it's literally the spreadsheet is a >> run in >> front and got through the whole big query. So when you're doing a favour tables when you're saying Hey, aggregate, by this and all, it actually is internally calling big credit to do those activities. So you remove the barrier off doing something in the in the presentation layer and move that to the engine that actually can do the lot skill. >> Is this shipping? Now you mention it. Extended beta. What's the product? >> It's an extended out far for connected sheets. Okay, so it's like we're working with few customers early on board and >> make sure guys doing lighthouse accounts classic classic Early. >> If customers are already G sweet customer, we would love to get get >> more criteria on the connected sheets of Alfa sending bait after Now What's what's the criteria? >> I think nothing. If customers are ready to go ahead and give us feedback, that's what we care of. Okay, so you want to start with, like, twenty twenty five customers and then expanded over this year and expand it, >> maybe making available to people watching. Let us let us know what the hell what do they go? >> Throw it to me and then I can go with that. Folks, >> sit here. One of the other announcements saw this week I'm curious. How it connects into your pieces is a lot of the open source databases and Google offering those service maybe even expand as because we know, as John said in the open there, the proliferation of databases is only gonna increase. >> I think open source way announced lot of partnerships on the databases. Customers need different types of operational databases on. This is a great, great opportunity for us to partner with some of our partners and providing that, and it's not just data basis. We also announced announced Partnership with Confident. I've been working with the confident team for last one place here, working on the relationship, making sure our customers haven't. I believe customers should always have choice. And we have our native service with Cloud pops up. A lot of customers liked after they're familiar with CAFTA. So with our relationship with Khan fluent and what we announced now, customers will get native experience with CAFTA on Jessie P. I'm looking forward to that, making sure our customers are happy and especially in the streaming analytic space where you can get real time streams of data you want to be, Oh, directly analytics on top of it. That is a really high value add for us, So that's great. And so so that's the That's what I'm looking forward to his customers being able to go out and use all of these open source databases as well as messaging systems to go ahead and and do newer scenarios for with us. >> Okay, so you got big Big query. ML was announced in G. A big query also has auto support Auto ml tables. What does that mean? What's going what's going on today? >> So we announced aquarium L at Kew Blast next invader. So we're going Ta be that because PML is basically a sequel interface to creating machine learning models at scale. So if you have all your data and query, you can write two lines ofthe sequel and go ahead and create a model tow with, Let's say, clustering. We announced plastering. Now we announced Matrix factory ization. One great example I will give you is booking dot com booking dot com, one of the largest travel portals in the in the world. They have a challenge where all the hotel rooms have different kinds off criteria which says they have a TV. I have a ll the different things available and their problem was data quality. There was a lot of challenges with the quality of data they were getting. They were able to use clustering algorithm in sequel in Macquarie so that they could say, Hey, what are the anomalies in this data? Sets and identify their hotel rooms. That would say I'm a satellite TV, but no TV available. So those claims direct Lansing stuff. They were easily able to do with a data analyst sequel experience so that's that. >> That's a great example of automation. Yeah, humans would have to come in, clean the data that manually and or write scripts, >> so that's there. But on the other side, we also have, Ah, amazing technology in Auto Emma. So we had our primal table are normal vision off thermal available for customers to use on different technologies. But we realized a lot of problems in enterprise. Customers are structured data problems, So I have attained equerry. I want to be able to go in and use the same technology like neural networks. It will create models on top of that data. So with auto Emel tables, what we're enabling is customers can literally go in auto Emel Table Portal say, Here is a big query table. I want to be able to go out and create a model on. Here is the column that I want to predict from. Based on that data, and just three click a button will create an automated the best model possible. You'LL get really high accuracy with it, and then you will be able to go out and do predictions through an FBI or U can do bulk predictions out and started back into Aquarian also. So that's the whole thing when making machine learning accessible to everyone in the organization. That's our goal on with that, with a better product to exactly it should be in built into the product. >> So we know you've got a lot of great tech. But you also talk to a lot of customers. Wonder if you might have any good, you know, one example toe to really highlight. Thie updates that you >> think booking dot com is a good example. Our scent. Twentieth Century Fox last year shared their experience off how they could do segmentation of customers and target customers based on their past movies, that they're watched and now they could go out and protect. We have customers like News UK. They're doing subscription prediction like which customers are more likely to subscribe to their newspapers. Which ones are trying may turn out s o those He examples off how machine learning is helping customers like basically to go out and target better customers and make better decisions. >> So, do you talk about the ecosystem? Because one of things we were riffing on yesterday and I was giving a monologue, Dave, about we had a little argument, but I was saying that the old way was a lot of people are seeing an opportunity to make more margin as a system integrated or global less I, for instance. So if you're in the ecosystem dealing with Google, there's a margin opportunity because you guys lower the cost and increase the capability on the analytic side. Mention streaming analytics. So there's a business model moneymaking opportunity for partners that have to be kind of figured out. >> I was the >> equation there. Can you share that? Because there's actually an opportunity, because if you don't spend a lot of time analyzing the content from the data, talk aboutthe >> money means that there's a huge opportunity that, like global system integrators, to come in and help our customers. I think the big challenges more than the margin, there is lot of value in data that customers can get out off. There's a lot of interesting insights, not a good decision making they can do, and a lot of customers do need help in ramping up and making sure they can get value out of that. And it's a great opportunity for our global Asai partners and I've been meeting a lot of them at the show to come in and help organizations accelerate the whole process off, getting insights from from their data, making better decisions, do no more machine learning, leverage all of that. And I think there is a huge opportunity for them to come in. Help accelerate. What's the >> play about what some other low hanging fruit opportunities I'LL see that on ramping or the data ingestion is one >> one loving fruit? Yes, I think no hanging is just moving migration. Earlier, he said. Break the data silos. Get the data into DCP. There's a huge opportunity for customers to be like, you know, get a lot of value. By that migration is a huge opportunity. A lot of customers want to move to cloud, then they don't want to invest more and more and infrastructure on them so that they can begin level Is the benefits off loud? And I think helping customers my great migrations is going to be a huge Obviously, we actually announced the migration program also like a weak back also way. We will give training credits to our customers. We will fund some of the initial input, initial investment and migration activities without a side partners and all, so that that should help there. So I think that's one area. And the second area, I would say, is once the data is in the platform getting value out ofit with aquarium in auto ml, how do you help us? It must be done. I think that would be a huge opportunity. >> So you feel good too, dear. But, you know, build an ecosystem. Yeah. You feel good about that? >> Yeah, way feel very strongly about our technology partners, which are like folks like looker like tableau like, uh, talent confluence, tri factor for data prep All of those that partner ecosystem is there great and also the side partner ecosystem but for delivery so that we can provide great service to our customers >> will be given good logos on that slide. I got to say, Try facts and all the other ones were pretty good etcetera. Okay, so what's the top story for you in the show here, besides your crew out on the date aside for your area was a top story. And then generally, in your opinion, what's the most important story here in Google Cloud next. >> I think two things in general. The biggest news, I think, is open source partnership that we have announced. I'm looking forward to that. It's a great thing. It's a good thing both for the organizations as well as us on DH. Then generally, you'LL see lot off examples of enterprise customers betting on us from HSBC ends at bank that was there with mean in the session. They talked about how they're getting value out ofthe outof our data platform in general, it's amazing to see a lot more enterprises adopting and coming here telling their stories, sharing it with force. >> Okay, thanks so much for joining us. Look, you appreciate it. Good to see you again. Congratulations. Perfect fusion ingesting on ramps into the into the superhighway of Big Query Big engine. They're they're large scale data. Whereas I'm Jeffers dipping them in. We'LL stay with you for more coverage after this short break

>> live from San Francisco. It's the Cube covering Google Club Next nineteen Rodeo by Google Cloud and its ecosystem partners. >> Hey, welcome back. Everyone's the live Cube covers here in San Francisco for Google Cloud. Next nineteen. I'm Javert Day Volante here on the ground floor, day two of three days of wall to wall coverage to great guests. We got Kartik lost. Meena Ryan, product management director of Cloud Identity for Google and Kim parent chief security officer for Doctor on Demand. Guys, welcome to the Cube. Appreciated Coming on. >> Great to be here. >> Thank you so honestly Way covering Google Cloud and Google for many, many years. And one of the things that jumps out at me, besides allows the transformation for the enterprise is Google's always had great technology, and last year I did an interview, and we learned a lot about what's going on the chip level with the devices you got. Chrome browser. Always extension. All these security features built into a lot of the edge devices that Google has, so there's definitely a security DNA in there and Google the world. But now, when you start getting into cloud access and permissions yesterday and the Kino, Thomas Kurian and Jennifer Lin said, Hey, let's focus on agility. Not all his access stuff. This is kind of really were identity matters. Kartik talk about what's going on with cloud identity. Where are we? What's the big news? >> Yeah, thank you. So clouded. Entities are solution to manage identity devices and the whole axis management for the clouds. And you must have heard of beyond Corp and the whole zero trust model and access. One thing we know about the cloud if you don't make the access simple and easy and at the same time you don't provide security. You can get it right. So you need security and you need that consumer level simplicity. >> Think it meant explain beyond core. This is important. Just take a minute to refresh for the folks that might not know some of the innovations. They're just start >> awesome. Yeah. So traditional on premises world, the security model was your corporate network. Your trust smaller. Lose The corporate network invested a lot to get to keep the bad people out. You get the right people on and that made ten T applications on premises. Your data was on premises now the Internet being a new network, you work from anywhere. Work is no longer a thing. You work from anywhere. What gets done right? So what is the new access? More look like? That's what people have been struggling with. What Google came up with in two thousand eleven is this model called Beyond Core versus Security Access Model will rely on three things. Who you are is a user authentication the device identity and security question and last but not least, the context off. What are you trying to access in very trying to access from So these things together from how you security and access model And this is all about identity. And this is Bianca. >> And anyone who has a mobile device knows what two factor authentication is. That's when you get a text messages. That's just two factor M. F. A multi factor. Authentication really is where the action is, and you mentioned three of them. There's also other dimensions. This is where you guys are really taking to the next level. Yeah, where are we with FAA and some of the advances around multi factor >> s O. So I think keeping you on the highlight is wear always about customer choice. We meet customers where they are. So customers today have invested in things like one time use passwords and things like that. So we support all of that here in cloud identity. But a technology that we are super excited about the security, Keith. And it's built on the fighter standard. And it's inserted this into your USB slot of that make sense. And we just announced here at next you can now use your android phone as a security key. So this basically means you don't have to enter any codes because all those codes you enter can be fished on way. Have this thing at Google and we talked about it last time. Since we roll our security keys. No Google account, it's >> harder for the hackers. Really Good job, Kim. Let's get the reality. You run a business. You've been involved in a lot of start ups. You've been cloud nated with your company. Now talk about your environment does at the end of the year, the chief security officer, the buck stops with you. You've got to figure this out. How are you dealing with all this? These threats at the same time trying to be innovative with your company. >> So for clarity. So I've been there six years since the very beginning of the company. And we started the company with zero hardware, all cloud and before there was beaten beyond Corp. Where there was it was called de-perimeterization. And that's effectively the posture we took from the very beginning so our users could go anywhere. And our I always say, our corporate network is like your local coffee shop. You know, WiFi like that's the way we view it. We wanted to be just a secure there at the coffee shop, you know, we don't care. Like we always have people assessing us and they're looking at a corporate network saying, You know, where your switches that you're, you know, like where your hardware like, we want to come in and look at all like we don't have anything like, >> there's no force. The scan >> is like way. Just all go to the Starbucks will be the same thing. So that's part of it. And now you know, when we started like way wanted to wrap a lot of our services in the Google, but we had the problem with hip a compliance. So in the early days, Google didn't have six years ago. In our early days, Google didn't have a lot of hip, a compliant services. Now they do. Now we're moving. We're trying to move everything we do almost in the Google. That's not because we just love everything about Google. It's for me. I have assessed Google security are team has assessed their security. We have contracts with them and in health care. It's very hard to take on new vendors and say Hey, is there security? Okay, are their contracts okay? It's like a months long process and then even at the end of the day, you still have another vendor out there that sharing your day, that you're sharing your data with them and it's precarious for me. It just it doubles my threat landscape. When I go from Google toe one more, it's like if I put my data there, >> so you're saying multi vendor the old way. This is actually a problematic situation for you. Both technically and what operate timewise or both are super >> problematic for me in terms of like where we spread our data to like It just means that company every hack against that company is brutal for us, like And you know, the other side of the equation is Google has really good pricing. Comparatively, yes, Today we're talking about Big Query, for example, and they wanted to compare Big Query to some other systems and be crazy. G, c p. And And we looked at the other systems and we couldn't find the pricing online. And, like Google's pricing was right there was completely transparent. Easy to understand. The >> security's been vetted. The security's >> exactly Kim. Can you explain when you said the multi vendor of creates problems for you? Why is this? Is it not so much that one vendor is better? The other assistant? It's different. It's different processes or their discernible differences in the quality of the security. >> There are definitely discernible differences in quality, for sure. Yeah, >> and then add to that different processes. Skill sets. Is that writer? Yes, Double click on that E >> everybody away. There's always some I mean almost every vendor. You know, there's always something that you're not perfectly okay with. On the part of the security is something you don't totally like about it. And the more vendors you add, you have. Okay. This person, they're not too good on their physical security at their data center or they're not too good on their policies. They're not too good on their disaster recovery. Like there's you always give a little bit somewhere. I hate to say it, but it's true. It's like nobody's super >> perfect like it's It's so it's a multiplication effects on the trade offs that you have to make. Yeah, it's necessarily bad, but it's just not the way you want to do it. All right? Okay. >> All the time. So you got to get in an S L A u have meetings. You gotta do something vetting. It's learning curves like on the airport taking your shoes off. Yeah. Yeah. And then there's the >> other part. Beyond the security is also downtime. Like if they suffer downtime. How much is that going to impact our company? >> Karthik, you talked about this This new access mall, this three layer who authentication that is the device trusted in the context. I don't understand how you balance the ratio between sort of false positives versus blocking. I think for authentication and devices pretty clear I can authenticate. You are. I don't trust this device. You're not getting in, but the context is interesting. Is that like a tap on the shoulder with with looking at mail? Hey, be careful. Or how are you balancing that? The context realm? >> Yeah, I think it's all about customer choice. Again, customers have, but they look at their application footprint there, making clear decisions on Hey, this is a parole application is a super sensitive as an example, maybe about based meeting application. Brotherly, not a sensitive. So when they're making decisions about hey, you have a manage device. I will need a manage device in order for you to access the payroll application. But if you have you bring your own device. I'm off perfectly fine if you launch a meeting from that. So those are the levels that people are making decisions on today, and it's super easy to segment and classify your application. >> Talk about the the people that are out there watching might say, You know what? I've been really struggling with identity. I've had, you know, l'd app servers at all this stuff out there, you name it. They've all kinds of access medals over the years, the perimeters now gone. So I got a deal to coffee shop, kind of working experience and multiple devices. All these things are reality. I gotta put a plan together. So the folks that are trying to figure this out, what's that? You guys have both weigh in on on approach to take or certain framework. What's what's? How does someone get the first few steps off to go out towards good cloud identity? >> Sure, I only go first, so I think many ways. That's what we try to simplify it. One solution that we call cloud identity because what people want is I want that model. Seems like a huge mountain in front of me, like how do I figure these things out? I'm getting a lot of these terminologies, so I think the key is to just get started on. We've given them lots of ways. You can take the whole of cloud identity solution back to Kim's point. It can be one license from us, that's it and you're done. It's one unified. You I thinks like that. You can also, if you just want to run state three applications on DCP we have something called identity ofher Proxy. It's very fast. Just load yaps random on disability and experience this beyond >> work Classic enterprise Khun >> Yeah, you run all the applications and dcpd and you can And now they're announcing some things that help you connect back with John Thomas application. That's a great way to get started. >> Karthik painted this picture of Okay, it's no perimeter. You can't just dig a moat. The queen wants to leave the castle. All the security, you know, metaphors that we use. I'm interested in how you're approaching response to these days because you have to make trade us because there are discernible differences with different vendors. Make the assumption that people are going to get in so response becomes increasingly important. What have you changed to respond more quickly? What is Google doing to help? >> Well, yeah, So in a model where we are using, a lot of different vendors were having to like they're not necessarily giving us response and detection. Google. Every service we'd wrap into them automatically gets effectively gets wrapped into our security dashboard. There's a couple of different passwords we can use and weaken. Do reporting. We do it. A tremendous amount of compliance content, compliance controls on our DLP, out of e mail out of Dr and there's detection. There's like it's like we don't have to buy an extra tool for detection for every different type of service we have, it's just built into the Google platform, which is it's It's phenomenal from >> detection baked in, It's just >> baked in. We're not to pay extra for it. In fact, I mean way by the enterprise license because it's completely worth it for us. Um, you know, assumes that came out, the enterprise part of it and all the extra tools. We were just immediately on that because the vault is a big thing for us as well. It's like not only response, but how you dig through your assets toe. Look for evidence of things like, if you have some sort of legal case, you need vault, Tio, you know, make the proper ah, data store for that stuff >> is prioritization to Is it not like, figure it out? Okay, which, which threats to actually go after and step out? And I guess other automation. I mean, I don't know if you're automating your run book and things of that nature. But automation is our friends. Ah, big friend of starting >> on the product measures I What's the roadmap looks like and you share any insight into what your priorities are to go the next level. Aussie Enterprise Focus. For Google Cloud is clear Customs on stage. You guys have got a lot of integration points from Chromebooks G Sweep all the way down through Big Query with Auto ML All the stuff's happening. What's on your plate for road map? What things are you innovating around? >> I mean, it's beyond car vision that we're continuing to roll out. We've just ruled out this bit of a sweet access, for example, but all these conditions come in. Do you want to take that to G et? You're gonna look. We're looking at extending that context framework with all the third party applications that we have even answers Thing called beyond our devices FBI and beyond Corp Alliance, because we know it's not just Google security posture. Customers are made investments and other security companies and you want to make sure all of that interoperate really nicely. So you see a lot more of that coming out >> immigration with other security platform. Certainly, enterprises require that I buy everything on the planet these days to protect themselves >> Like there's another company. Let's say that you're using for securing your devices. That sends a signal thing. I trust this device. It security, passing my checks. You want to make sure that that comes through and >> now we're gonna go. But what's your boss's title? Kim Theo, you report to the CEO. Yeah, Awesome guys. >> Creation. Thank you >> way. We've seen a lot of shifts in where security is usually now pretty much right. Strategic is core for the operations with their own practices. So, guys, thanks for coming on. Thanks for the thing you think of the show so far. What's the What's The takeaway came I'll go to you first. What's your What's the vibe of the >> show? It's a little tough for me because I have one of my senior security engineers here, and he's been going to a lot of the events and he comes to me and just >> look at all >> this stuff that they have like, way were just going over before this. I was like, Oh my God, we want to go back to our r R R office and take it all in right today. You know, if we could So yeah, it's a little tough because >> in the candy store way >> love it because again, it's like it's already paying for it. It's like they're just adding on services that we wanted, that we're gonna pay for it now. It's >> and carted quickly. Just get the last word I know was commenting on our opening this morning around how Google's got all five been falling Google since really the beginning of the company and I know for a fact is a tana big day that secures all spread for the company matter. Just kind of getting it. Yeah, share some inside quickly about what's inside Google. From a security asset standpoint, I p software. >> Absolutely. I mean, security's built from the ground up. We've been seeing that and going back to the candy store analogy. It feels like you've always had this amazing candy, but now there's like a stampede to get it, and it's just built in from the ground up. I love the solution. Focus that you found the keynotes and all the sessions that's happening. >> That's handsome connective tissue like Antos. Maybe the kind of people together. >> Yeah. I don't like >> guys. Thanks for coming on. We appreciate Kartik, Kim. Thanks for coming on. It's accused. Live coverage here on the ground floor were on the floor here. Day two of Google Cloud next here in San Francisco on Jeffrey David Lantz Stevens for more coverage after this short break.

>> reply from San Francisco. It's the Cube covering Google Club next nineteen Tio by Google Cloud and its ecosystem partners. >> We're back at Google Cloud next twenty nineteen. You're watching the Cube, the leader in live tech coverage on Dave a lot with my co host to minimum John Farriers. Also here this day. Two of our coverage. Hash tag. Google Next nineteen. Mike Evans is here. He's the vice president of technical business development at Red Hat. Mike, good to see you. Thanks for coming back in the Cube. >> Right to be here. >> So, you know, we're talking hybrid cloud multi cloud. You guys have been on this open shift for half a decade. You know, there were a lot of deniers, and now it's a real tail one for you in the whole world is jumping on. That bandwagon is gonna make you feel good. >> Yeah. No, it's nice to see everybody echoing a similar message, which we believe is what the customers demand and interest is. So that's a great validation. >> So how does that tie into what's happening here? What's going on with the show? It's >> interesting. And let me take a step back for us because I've been working with Google on their cloud efforts for almost ten years now. And it started back when Google, when they were about to get in the cloud business, they had to decide where they're going to use caveat present as their hyper visor. And that was a time when we had just switched to made a big bet on K V M because of its alignment with the Lenox Colonel. But it was controversial and and we help them do that. And I look back on my email recently and that was two thousand nine. That was ten years ago, and that was that was early stages on DH then, since that time, you know, it's just, you know, cloud market is obviously boomed. I again I was sort of looking back ahead of this discussion and saying, you know, in two thousand six and two thousand seven is when we started working with Amazon with rail on their cloud and back when everyone thought there's no way of booksellers goingto make an impact in the world, etcetera. And as I just play sort of forward to today and looking at thirty thousand people here on DH you know what sort of evolved? Just fascinated by, you know, sort of that open sources now obviously fully mainstream. And there's no more doubters. And it's the engine for everything. >> Like maybe, you know, bring us inside. So you know KK Veum Thie underpinning we know well is, you know, core to the multi clouds tragedy Red hat. And there's a lot that you've built on top of it. Speak, speak a little bit of some of the engineering relationships going on joint customers that you have. Ah, and kind of the value of supposed to, you know, write Hatton. General is your agnostic toe where lives, but there's got to be special work that gets done in a lot of places. >> Ralph has a Google. Yeah, yeah, yeah. >> Through the years, >> we've really done a lot of work to make sure that relative foundation works really well on G C P. So that's been a that's been a really consistent effort and whether it's around optimization for performance security element so that that provides a nice base for anybody who wants to move any work loader application from on crime over there from another cloud. And that's been great. And then the other maid, You know, we've also worked with them. Obviously, the upstream community dynamics have been really productive between Red Hat and Google, and Google has been one of the most productive and positive contributors and participants and open source. And so we worked together on probably ten or fifteen different projects, and it's a constant interaction between our upstream developers where we share ideas. And do you agree with this kind of >> S O Obviously, Cooper Netease is a big one. You know, when you see the list, it's it's Google and Red Hat right there. Give us a couple of examples of some of the other ones. I >> mean again, it's K B M is also a foundation on one that people kind of forget about that these days. But it still is a very pervasive technology and continuing to gain ground. You know, there's all there's the native stuff. There's the studio stuff in the AML, which is a whole fascinating category in my mind as well. >> I like history of kind of a real student of industry history, and so I like that you talk to folks who have been there and try to get it right. But there was a sort of this gestation period from two thousand six to two thousand nine and cloud Yeah, well, like you said, it's a book seller. And then even in the down turn, a lot of CFO said, Hey, cap backstop ex boom! And then come out of the downturn. And it was shadow I t around that two thousand nine time frame. But it was like, you say, a hyper visor discussion, you know, we're going to put VM where in in In our cloud and homogeneity had a lot of a lot of traditional companies fumbling with their cloud strategies. And and And he had the big data craze. And obviously open source was a huge part of that. And then containers, which, of course, have been around since Lennox. Yeah, yeah, and I guess Doctor Boom started go crazy. And now it's like this curve is reshaping with a I and sort of a new era of data thoughts on sort of the accuracy of that little historical narrative and and why that big uptick with containers? >> Well, a couple of things there won the data, the whole data evolution and this is a fascinating one. For many, many years. I'm gonna be there right after nineteen years. So I've seen a lot of the elements of that history and one of the constant questions we would always get sometimes from investor. Why don't you guys buy a database company? You know, years ago and we would, you know, we didn't always look at it. Or why aren't you guys doing a dupe distribution When that became more spark, etcetera. And we always looked at it and said, You know, we're a platform company and if we were to pick anyone database, it would only cover some percentage and there's so many, and then it just kind of upsets the other. So we've we've decided we're going to focus, not on the data layer. We're going to focus on the infrastructure and the application layer and work down from it and support the things underneath. So it's consistent now with the AML explosion, which, you know, we're who was a pioneer of AML. They've got some of the best services and then we've been doing a lot of work within video in the last two years to make sure that all the GP use wherever they're run. Hybrid private cloud on multiple clouds that those air enabled and Raylan enabled in open shift. Because what we see happening and in video does also is right now all the applications being developed by free mlr are written by extremely technical people. When you write to tense airflow and things like that, you kind of got to be able to write a C compiler level, but so were working with them to bring open shift to become the sort of more mass mainstream tool to develop. A I aml enable app because the value of having rail underneath open shift and is every piece of hardware in the world is supported right for when that every cloud And then when we had that GPU enablement open shift and middleware and our storage, everything inherits it. So that's the That's the most valuable to me. That's the most valuable piece of ah, real estate that we own in the industry is actually Ralph and then everything build upon that and >> its interest. What you said about the database, Of course, we're a long discussion about that this morning. You're right, though. Mike, you either have to be, like, really good at one thing, like a data stacks or Cassandra or a mongo. And there's a zillion others that I'm not mentioning or you got to do everything you know, like the cloud guys were doing out there. You know, every one of them's an operational, you know, uh, analytics already of s no sequel. I mean, one of each, you know, and then you have to partner with them. So I would imagine you looked at that as well. I said, How're we going to do all that >> right? And there's only, you know, there's so many competitive dynamics coming at us and, you know, for we've always been in the mode where we've been the little guy battling against the big guys, whoever, maybe whether it was or, you know, son, IBM and HP. Unix is in the early days. Oracle was our friend for a while. Then they became. Then they became a nen ime, you know, are not enemy but a competitor on the Lennox side. And the Amazon was early friend, and then, though they did their own limits. So there's a competitive, so that's that's normal operating model for us to us to have this, you know, big competitive dynamic with a partnering >> dynamic. You gotta win it in the marketplace that the customers say. Come on, guys. >> Right. We'Ll figure it out >> together, Figured out we talked earlier about hybrid cloud. We talked about multi cloud and some people those of the same thing. But I think they actually you know, different. Yeah, hybrid. You think of, you know, on prim and public and and hopefully some kind of level of integration and common data. Plain and control plan and multi cloud is sort of evolved from multi vendor. How do you guys look at it? Is multi cloud a strategy? How do you look at hybrid? >> Yeah, I mean, it's it's it's a simple It's simple in my mind, but I know the words. The terms get used by a lot of different people in different ways. You know, hybrid Cloud to me is just is just that straightforward. Being able to run something on premise have been able to run something in any in a public cloud and have it be somewhat consistent or share a bowl or movable and then multi cloud has been able to do that same thing with with multiple public clouds. And then there's a third variation on that is, you know, wanting to do an application that runs in both and shares information, which I think the world's you know, You saw that in the Google Antos announcement, where they're talking about their service running on the other two major public cloud. That's the first of any sizable company. I think that's going to be the norm because it's become more normal wherever the infrastructure is that a customer's using. If Google has a great service, they want to be able to tell the user toe, run it on their data there at there of choice. So, >> yeah, so, like you brought up Antos and at the core, it's it's g k. So it's the community's we've been talking about and, he said, worked with eight of us work for danger. But it's geeky on top of those public clouds. Maybe give us a little bit of, you know, compare contrast of that open shift. Does open ship lives in all of these environments, too, But they're not fully compatible. And how does that work? So are >> you and those which was announced yesterday. Two high level comments. I guess one is as we talked about the beginning. It's a validation of what our message has been. Its hybrid cloud is a value multi clouds of values. That's a productive element of that to help promote that vision And that concept also macro. We talked about all of it. It it puts us in a competitive environment more with Google than it was yesterday or two days ago. But again, that's that's our normal world way partnered with IBM and HP and competed against them on unit. We partner with that was partnered with Microsoft and compete with them, So that's normal. That said, you know, we believe are with open shift, having five plus years in market and over a thousand customers and very wide deployments and already been running in Google, Amazon and Microsoft Cloud already already there and solid and people doing really things with that. Plus being from a position of an independent software vendor, we think is a more valuable position for multi cloud than a single cloud vendor. So that's, you know, we welcome to the party in the sense, you know, going on prom, I say, Welcome to the jungle For all these public called companies going on from its, you know, it's It's a lot of complexity when you have to deal with, You know, American Express is Infrastructure, Bank of Hong Kong's infrastructure, Ford Motors infrastructure and it's a it's a >> right right here. You know Google before only had to run on Google servers in Google Data Center. Everything's very clean environment, one temperature on >> DH Enterprise customers have it a little different demands in terms of version ality and when the upgrade and and how long they let things like there's a lot of differences. >> But actually, there was one of the things Cory Quinn will. It was doing some analysis with us on there. And Google, for the most part, is if we decide to pull something, you've got kind of a one year window to do, you know? How does Red Hot look at that? >> I mean, and >> I explained, My >> guess is they'LL evolve over time as they get deeper in it. Or maybe they won't. Maybe they have a model where they think they will gain enough share and theirs. But I mean, we were built on on enterprise DNA on DH. We've evolved to cloud and hybrid multi cloud, DNA way love again like we love when people say I'm going to the cloud because when they say they're going to the cloud, it means they're doing new APs or they're modifying old apse. And we have a great shot of landing that business when they say we're doing something new >> Well, right, right. Even whether it's on Prem or in the public cloud, right? They're saying when they say we'LL go to the club, they talk about the cloud experience, right? And that's really what your strategy is to bring that cloud experience to wherever your data lives. Exactly. So talking about that multi cloud or a Romney cloud when we sort of look at the horses on the track and you say Okay, you got a V M. We're going after that. You've got you know, IBM and Red Hat going after that Now, Google sort of huge cloud provider, you know, doing that wherever you look. There's red hat now. Course I know you can't talk much about the IBM, you know, certainly integration, but IBM Executive once said to me still that we're like a recovering alcoholic. We learned our lesson from mainframe. We are open. We're committed to open, so we'LL see. But Red hat is everywhere, and your strategy presumably has to stay that sort of open new tia going last year >> I give to a couple examples of long ago. I mean, probably five. Six years ago when the college stuff was still more early. I had a to seo conference calls in one day, and one was with a big graphics, you know, Hollywood Graphics company, the CEO. After we explained all of our cloud stuff, you know, we had nine people on the call explaining all our cloud, and the guy said, Okay, because let me just tell you, right, that guy, something the biggest value bring to me is having relish my single point of sanity that I can move this stuff wherever I want. I just attach all my applications. I attached third party APS and everything, and then I could move it wherever we want. So realize that you're big, and I still think that's true. And then there was another large gaming company who was trying to decide to move forty thousand observers, from from their own cloud to a public cloud and how they were going to do it. And they had. They had to Do you know, the head of servers, a head of security, the head of databases, the head of network in the head of nine different functions there. And they're all in disagreement at the end. And the CEO said at the end of day, said, Mike, I've got like, a headache. I need some vodka and Tylenol now. So give me one simple piece of advice. How do I navigate this? I said, if you just write every app Terrell, Andrzej, boss. And this was before open shift. No matter >> where you want >> to run him, Raylan J. Boss will be there, and he said, Excellent advice. That's what we're doing. So there's something really beautiful about the simplicity of that that a lot of people overlooked, with all the hand waving of uber Netease and containers and fifty versions of Cooper Netease certified and you know, etcetera. It's it's ah, it's so I think there's something really beautiful about that. We see a lot of value in that single point of sanity and allowing people flexibility at you know, it's a pretty low cost to use. Relish your foundation >> over. Source. Hybrid Cloud Multi Cloud Omni Cloud All tail wins for Red Hat Mike will give you the final world where bumper sticker on Google Cloud next or any other final thoughts. >> To me, it's It's great to see thirty thousand people at this event. It's great to see Google getting more and more invested in the cloud and more and more invested in the enterprise about. I think they've had great success in a lot of non enterprise accounts, probably more so than the other clowns. And now they're coming this way. They've got great technology. We've our engineers love working with their engineers, and now we've got a more competitive dynamic. And like I said, welcome to the jungle. >> We got Red Hat Summit coming up stew. Writerly May is >> absolutely back in Beantown data. >> It's nice. Okay, I'll be in London there, >> right at Summit in Boston And May >> could deal. Mike, Thanks very much for coming. Thank you. It's great to see you. >> Good to see you. >> All right, everybody keep right there. Stew and I would back John Furry is also in the house watching the cube Google Cloud next twenty nineteen we'LL be right back

>> 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.

>> fly from San Francisco. It's the Cube covering Google Club next nineteen Rock Tio by Google Cloud and its ecosystem Partners. >> Okay, welcome back, everyone. We're here live in San Francisco for cubes coverage of Google next twenty nineteen. I'm suffering my coast, David. Want to many men also doing interviews out, getting, reporting and collecting all the data. And we're gonna bring it back on the Q R. Next to gas mark in l. A. Who's a senior technical account manager? AccuWeather at enough was the director product manager. Google Cloud Platform. Now welcome back to the Cube and >> thank you for >> coming on. Thank you. >> You got a customer. Big customer focus here this year. Step function of just logo's growth. New announcements. Technical. Really good stuff. Yeah. What's going on? Give us the update. AP economies here, full throttle. >> I mean, you know, the great thing is it's a pea eye's on all fronts. So what you saw this morning was about standardizing the AP eyes that cloud infrastructure is based on. You saw, You know, how do we build applications with AP eyes at a finer grained level? Micro services, you know, And we've had a lot of great customer examples of people using, and that's what you know with AC. You weather here talking about how do you use a P ice to service and build business models reached developer ecosystems. So you know. So I look at everything today. It's every aspect of it brings it back home tape. Yas. >> It's just things that's so exciting because we think about the service model of cloud and on premise. And now cloud, it's integration and AP Eyes or Ki ki and all and only getting more functional. Talk about your implementation. Aki weather. What do you guys do with Apogee? Google clouds just chair. What >> would implementation is so accurate? There's been running an AP I service for the past ten years, and we have lots of enterprise clients, but we started to realize we're missing a whole business opportunity. So we partnered with Apogee, and we created a new self survey P developer portal that allows developers to go in there, sign up on their own and get started. And it's been great for us as far as like basically unlocking new revenue opportunities with the FBI's because, as he said, everything is a p i cz. We also say everything is impacted by the weather. So why not have everyone used ac you other empty eyes to fulfill their weather needs? >> It wasn't like early on when you guys were making this call, was it more like experimenting? Did men even have a clue where they're like You's a p I I was gonna start grass Roots >> Way knew right >> away like we were working very heavily with the enterprise clients. But we wanted to really cater to the small business Is the individual developers to weather enthusiasts are students. Even so, we wanted to have this easy interface that instead of talking to a sales rep, you could just go through this portal and sign upon your own. It get started and we knew right away there is money to be left or money to be had money left on the table. So we knew right away with by working with apogee and creating this portal, it would run itself. Everyone uses a P eyes and everyone needs to weather, so to make it easier to find and use >> and what was it like? Now let's see how >> it we've been using it now for about two years, and it's been very successful. We've we've seen great, rather revenue growth. And more importantly, it's worked as a great sales channel for us because now, instead of just going directly to an enterprise agreement and talking about legal terms and contracts, you can go through this incremental steps of signed up on your own. Do a free trial. Then you could buy a package. You can potentially increase your package, and we can then monitor that. Let them do it on their own, and it allows us ability to reach out to them and see could just be a new partner that we want to work with, or is there a greater opportunity there? So it's been great for us as faras elite generator in the sales channel to really more revenue, more opportunities and just more aware these'LL process a whole new business model. It's amore awareness, actually replies. Instead, people were trying to find us. Now it's out there and people see great Now it Khun, use it, Get started >> Admission in the back end. The National Weather Service, obviously the government's putting up balloons taking data and presumably and input to your models. How are they connecting in to the AP eyes? Maybe described that whole process. Yeah. Tilak, You other works >> of multiple weather providers and government agencies from around the world. It's actually one of our strengths because we are a global company, and we have those agreements with all kinds of countries around the world. So we ingest all of that data into our back and database, and then we surface it through our story and users. >> Okay, so they're not directly sort of plugging into that ap economy yet? Not yet. So we have to be right there. Well, I >> mean, for now we have the direct data feeds that were ingesting that data, and we make it available through the AC you other service, and we kind of unjust that data with some of our own. Augur those to kind of create our own AccuWeather forecast to >> That's actually a barrier to entry for you guys. The fact that you've built those pipelines from the back end and then you expose it at the front end and that's your business model. So okay, >> tell about that. We're where it goes from here because this is a great example of how silly the old way papering legal contracts. Now you go. It was supposed to maybe eyes exposing the data. Where does it go from here? Because now you've got, as were close, get more complex. This is part of the whole announcement of the new rebranding. The new capabilities around Antos, which is around Hey, you know, you could move complex work clothes. Certainly the service piece. We saw great news around that because it gets more complex with sap. Ichi, go from here. How did these guys go? The next level. >> So, you know, I think that the interesting thing is you look at some of the themes here that we've talked about. It's been about unlocking innovation. It's about providing ways that developers in a self service way Khun, get at the data. The resource is that they need ask. They need them to build these types of new types of applications and vacuum weather experience and their journey on. That's a great example of it. Look, you know, moving from from a set of enterprise customers that they were serving very well to the fact that really ah, whole ecosystem of applications need act needs access to weather data, and they knew that if they could just unlock that, that would be an incredibly powerful things. So we see a lot of variants of that. And in fact, a lot of what you see it's on announcements this morning with Google Cloud is part of that. You know, Google Cloud is very much about taking these resource is that Google is built that were available to a select few and unlocking those in a self service fashion, but in a standard way that developers anywhere and now with andthe oh, switches hybrid a multi cloud wherever they are being able to unlock those capabilities. So why've you? This is a continuation of a P. I promise. You know, we're very excited about this because what we're seeing is more and more applications that are being built across using AP eyes and more more environments. The great thing for Apogee is that any time people are trying to consume AP eyes in a self service fashion agile way, we're able to add value. >> So Allison Wagner earlier was we asked her about the brand promise, and she said, We want our customers, customers they're not help them innovate all the way down our customers customers level. So I'm thinking about whether whether it gets a bad rap, right? I mean, >> look at it >> for years and we make make jokes about the weather. But the weather has been looked uncannily accurate. These they used to be art. Now it's becoming more silent. So in the spirit of innovation, talk about what's happening just in terms of predicting whether it's, you know, big events, hurricanes, tornadoes and some of the innovation that's occurring on that end. >> Well, I mean, look at from a broader standpoint to weather impacts everything. I mean, as we say, you look at all the different products out there in the marketplace that use whether to enhance that. So there's things you can do for actionable decisions, too. It's not just what is the weather, it is. How can whether impact what I'm doing next, what I'm doing, where I go, what I wear, how I feel even said every day you make a conscious and subconscious decision based on the weather. So when you can put that into products and tools and services that help make those actionable decisions for the users. That makes it a very, very powerful products. That's why a lot of people are always seeking out whether data to use it to enhance their product. >> Give us an example. >> What So a famous story I even told Justin my session earlier. Connected Inhaler Company named co hero they use are FBI's by calling our current conditions every time a user had a respiratory attack over time, it started to build a database as the user is using your inhaler. Then use machine learning to kind of find potential weather triggers and learn pattern recognition to find in the future. Based on our forecast, a p I When white might that user have another attack? So buy this. It's a connected health product that's helping them monitor their own health and keep them safe and keep them prepared as opposed to being reactive. >> The inhaler is instrumented. Yeah, and he stated that the cloud >> and that's just that's just one product. I mean, there's all kinds of things connected, thermostats and connect that >> talks about the creativity of the application developer. I think this highlights to me what Deva is all about and what cloud and FBI's all about because you're exposing your resource products. You don't have to have a deaf guy going. Hey, let's car get the pollen application, Martin. Well, what the hell does that mean? You put the creativity of the in the edge, data gets integrated to the application. This kind of kind of hits on the core cloud value problems, which is let the data drive the value from the APP developer. Without your data, that APP doesn't have the value right. And there's multiple instances of weird what it could mean the most viable in golf Africa and Lightning. Abbott could be whatever. Exactly. So this is kind of the the notion of cloud productivity. >> Well, it's a notion of club activity. It's also this idea of a digital value change. So, you know, Data's products and AP Icer products. And and so now we see the emergence of a P I product managers. You know, you know this idea that we're going to go and build a whole ecosystem of products and applications, that meat, the whole set of customer needs that you might not even initially or ever imagine. I'm sure you folks see all the time new applications, new use cases. The idea is, you know, can I I take this capability or can I take this set of data, package it up us an a p I that any developer can use in anyway that they want to innovate on DH, build new functionality around, and it's a very exciting time in makes developers way more productive than they could have been in >> this talks about the C I C pipeline and and programmable bramble AP eyes. But you said something interesting. I wanna unpack real quick talk about this rise of a pipe product managers because, yes, this is really I think, a statement that not only is the FBI's around for a long time to stay, but this is instrumental value. Yes. What is it? A byproduct. Men and okay, what they do. >> So it's a new concept that has Well, I should say a totally new concept. If you talk to companies that have provided a P eyes, you go back to the the early days of you know, folks like eBay or flicker. All of these idea was that you can completely reinvent your business in the way that you partner with other companies by using AP eyes to tie these businesses together. And what you've now seen has been really, I'd say, over the last five years become a mainstream thing. You've got thousands of people out there and enterprises and Internet companies and all sorts of industries that are a P I product managers who are going in looking at how doe I packet a package up, the capabilities the business processes, the data that my business has built and enable other companies, other developers, to go on, package these and embed them in the products and services that they're building. And, uh, that's the job of a P A. Product measures just like a product manager that you would have for any other product. But what they're thinking about is how do they make their A P? I success >> had to Mark's point there. He saw money being left on the table. Small little tweak now opens up a new product line at an economic model. The constructor that's it's pretty *** good. >> It's shifting to this idea platform business models, and it's a super exciting thing that we're seeing the companies that successfully do it, they see huge growth way. Think that every business is goingto have to transition into this AP I product model eventually. >> Mark, what's the what's the role of the data scientist? Obviously very important in your organization and the relationship between the data scientists and the developers. And it specifically What is Google doing, Tio? Help them coordinate, Collaborate better instead of wrangling data all day. Yeah, I mean, >> so far, a data scientists when we actually have multiple areas. Obviously, we're studying the weather data itself. But then we're studying the use case of data how they're actually ingesting it itself, but incorporating that into our products and services. I mean I mean, that's kind of >> mean date is every where the key is the applications have the data built in. This is to your point about >> unnecessarily incorporating it in, but to collaborate on creating products, right? I mean, you're doing a lot of data science. You got application developers. All right? You're talking about tooling, right? R, are they just sort of separate silos or they >> I mean, we obviously have to have an understanding of what day it is going to be successful. What's gonna be adjusted and the easiest way to adjust it a swell so way obviously are analyzing it from that sense is, >> I say step back for a second. Thiss Google Next mark. What's your impression of the show this year? What's the vibe? What's this day? One storyline in your mind. Yet a session you were in earlier. What's been some of the feedback? What's what's it like >> for me personally? It's that AP eyes, power, everything. So that's obviously what we've been very focused on, and that's what the messaging I've been hearing. But yeah, I mean, divide has been incredible here. Obviously be around so many different great minds and the creativity. It's it's definitely >> talk. What was the session that you did? What was the talk about? Outside? Maybe I was some >> of the feedback. Yeah, I mean, so the session I gave was how wacky weather unlock new business opportunities with the FBI's on way. Got great feedback was a full house, had lots of questions afterwards that followed me out to the hallway. It's was actually running here, being held up, but lots people are interested in learning about this. How can they unlock their own opportunity? How can they take what they have existing on and bring it to a new audience? For >> some of the questions that that was kind of the thematic kind of weaken stack rank, the categorical questions were mean point. The >> biggest thing was like trying to make decisions about how for us, for example, having an enterprise model already transitioning that toe a self serve model that actually worked before we're kind of engaging clients directly. So having something that users could look at and on their own, immediately engage with and connect with and find ways that they can utilize it for their own business models and purposes. >> And you gotta be psychic, FBI as a business model, You got FBI product managers, you got you got the cloud and those spanning now multiple domain spaces on Prem Hybrid Multi. >> Well, that last points are very exciting to us. So, you know, if you look at it, you know, it was about two and a half years ago that apogee became part of Google and G C P got into hybrid of multi cloud with aptitude that we were, you know, the definitive AP I infrastructure for AP eyes. Wherever they live. And what we saw this morning was DCP doubling down in a very big way on hybrid of multi clap. And so this is fantastic four. This message of AP eyes everywhere. Apogee is going to be able Teo sit on top of Antos and really, wherever people are looking at either producing are consuming AP eyes. We'LL be able to sit on top of that and make it a lot easier to do. Capture that data and build new business models. On top of it, >> we'LL make a prediction here in the Cube. That happens. He's going to be the center. The value proposition. As those abs get built, people go to the business model. Connecting them under the covers is going to be a very interesting opportunity with you guys. It's >> a very exciting, very exciting for us to >> get hurt here first in the queue, of course. The cubes looking for product manager a p I to handle our cube database. So if you're interested, we're always looking for a product manager. FBI economies here I'm Jeopardy Volante here The Cube Day one coverage Google Next stay with us for more of this short break

>> fly from San Francisco. It's the Cube covering Google Club next nineteen, right Tio by Google Cloud and its ecosystem partners. >> Welcome back to San Francisco, everybody. You watching the Cube, the leader in live tech coverage. And we're here at the new improved Mosconi Center covering Google next twenty nineteen. I'm Dave along with my co hosts. Two minutes to get to see you. Russell Warming is here. He's the head of infrastructure at AutoTrader UK. Russell, Thanks for coming on the Cube. You very welcome. AUTOTRADER uk not to be confused with the U. S. Not a lot of you guys. They're separate cos >> yet completely separate. So way operate the largest automotive marketplace in the UK something like the sixteenth busiest website in the UK around fifty five million cross platform visits each month on average. Probably about five hundred thousand vehicles that were advertising out. Tio consumers >> are traitors. Awesome website If your eyes are second biggest purchase typically behind the home and and so Stew was asking you earlier if you if digital transformation meant anything to you and you said Well, we kind of went through a ten years ago yet, and it's kind of true You guys were like born in the Internet company would talk about >> that. So our heritage is that we've been around for forty forty years. We started producing magazines back in nineteen seventy seven. And then in ninety six, we would launched our first website on DH. We've basically just migrated those revenues from our print business online. And then about two thousand thirteen. We stop printing magazines all together. So we're truly digital business now, >> and people talk about digital transformation oftentimes in the context of data. So maybe talk about some of the things that you're doing in your business, some of the challenges that you face, where data fits in and we'Ll really get into it. >> Okay, so I'm we've got a couple of areas where we've been on premise for our data centers. Wave had that strategy for probably about fifteen years, and we've started to reach limits in terms of how we manage capacity within their on what we found is using cloud services as really enables so unlock capabilities, particularly around things like data on their. More recently, when we're thinking about using Cuban eaters and SDO, we've been able to take advantage of things like some of the security features, mutual tear less and service discovery. >> All right, so they also bring us inside your organization a little bit. You're head of infrastructure? Yeah. What does that mean to your business today? >> So way basically run the platform that runs auto trader dot co dot uk on were responsible for making sure that's available twenty four seven three six five So way. Want to make sure that we're able to give our internal customers the ability to release new applications new features as quickly as they want, but also that we're ensuring that our consumers are retailers get a great experience that it's fast performance secure. >> Yeah, and it could give us tease out a little bit, just kind of the scope, how many people you have and how do you balance the stuff that kind of is under your purview and the stuff that you manage that is outside of your four walls. >> So there's about twenty five people within the team. There's probably about ten people building the infrastructure and about fifteen people that are responsible for monitor in it. So we're not a big organization in terms of operations in infrastructure on. We have to work very closely with our product squads because we manage some elements of it. But we're dependent on them managing other elements as well. So we're trying to unlock platform capabilities so that we've got consistency that we're trying to provide those those capabilities rather than going off on finding something else. >> You've got infrastructure on Prem and you've got infrastructure in the cloud to cloud services, right? Yes. So oftentimes those aren't the same. But talk about your situation and you're on a journey, I presume. >> Way started about forty months ago, building out our cloud services on DH. Probably in the last four months, we've really started accelerating that that migration plan of applications moving it up into into Google Cloud on DH. Our ambition is to get that done in eighteen months because the complexity of managing multiple environments is something that we want to try and avoid. Minimize that. >> So is the aspiration to go all in >> waiting absolutely way. We've taken a view that for services that we can we'll take money services and then everything else will be cloud first >> believe I heard you say Cooper Netease is in the mix now. Can you explain where that fits? How you're using it? >> So that see, that's the platform that we're using. Teo. Build out all our applications in the clouds so that that's that's That's a lot of important >> air using any communities in your data center today? No, not all from a cloud. That's the platform layer that using the >> public? Absolutely so when we talked about should we use Cuban? It is way did discussed. Should we do it on Prem or do it in the cloud? And we just figured that we didn't want the overhead of managing it ourselves on prime, we thought it be better just to take it as a service almost and manage up in the cloud. >> Most of the shows we go too many of them, anyway. It's too, and I and the Cube they talk about multi cloud, and we often say multi cloud as a function of multi vendor. But certainly way heard today from Google. A multi cloud. What's your cloud strategy? Because there there's another camp that says, Well, if you do, multi cloud is more complex, it's less secure, it's more expensive. Are you trying to be kind of unit cloud or is that horses for courses? >> So we're three clouds today. So our data platforms, it's partly in G C P. But then partly in another cloud provider on then we're also for our enterprise applications were using another cloud provided because it makes sense to do so. So we want to use the right cloud for the right applications. I think that most of our customer facing applications will end up in G C. P. But some of the back end services my end up in of the cloud provide us >> Okay, so it's strategic fit based on the application? Absolutely. So what is the wheelhouse of of of? Of Google, in your view, from a customer's perspective. >> Um, so the fact that Cuban eighties was developed by Google is a really strong play there. It gives you confidence that they know Teo to look after it. Things like SDO have made a massive difference to our organization as well. We part of the reason why we've ended up using GDP was based on using SDO, and that was around solving a specific problem that we had so that those of the sort to to solve areas that we focused on. >> Just when you look at you know, you've got that hybrid, multi cloud environment that we find is pretty much the standard today. Can you speak a little bit of the management layer? How you look at that, you know, Is it good enough today? And what what? What could the industry do to make it even better? >> It's good enough for our needs. I think that the challenge that you've always got is data ingress and egress between between clouds as you want to move data or query data, making sure that you could do that in a secure way. That's probably the biggest challenge that you'd have on also around the cost of doing so. Those you know, those are probably the bigger challenges >> in the challenges. The cost in time of moving data is its security or the above. Maybe you could dig into that little bit. >> It's probably a little bit of all the above. If I'm honest, I think you could do so much to security plight. Private VP ends Between Between the cloud providers It's I guess that's the time and actually moving some of that data between the clouds is that there's a challenge, and then they cost. Like I say, it's difficult to predict how much it might cost you two to move some of that >> big challenges and from a business perspective that a driving your technology strategy, obviously you want consumers coming to your site. You want to make that as rich as possible for them. You've gotta monetization strategy as well. But you talk a little bit about the business drivers that are affecting your technology. >> Okay, so consumer demand is constantly changing. Technology is massively disrupting how people think about search for cars. We can see that there's a demanding in the in the marketplace for people just to be ableto choose it, choose a car on DH, have that customizing delivered. They want tohave complexity around how they look for finance on their cars. They want all that sort of taken away. They don't wanna have to turn up tio a car showroom and then go through the same conversation that live with salesperson that they've just gone through online. They want that journey to be seamless, so there's some challenges that the industry facing trying to do that where we're trying to help our retailers, providing those services that customers want. So to be able to understand what the part ex valuation is on their car before they turned up to the dealership and know that it's going to get honored because they've got to trust in it so they can understand what, what making spend on a monthly faith on what cars are available. So we're trying to change what we provide to our consumers on also to support our retailers. Manage that changes well, >> Russell thinks a really great point. You make way. No many industries, and especially your industry, is changing really fast. So what are those stresses and strains mean to the infrastructure team in Oak and maybe talk a little bit about the relationship of kind of business? Tow it how that's changed in the last few years. >> So probably over the last ten years, it has always been seen as the sort of the blocker in terms of making sure that new products and features become become available quickly on our role is really to make sure that we're providing the infrastructure at the right time for people so that they can basically just dial it in when they need it. So if they want to release a new application, they don't need to come and speak to somebody in ops to stop provisional server. They just create a pipeline, deploy their application and then the service provisioned at the same time. On we do things like checking for a Wasp Bonham abilities at the same time and making sure that the application and the infrastructure is working hand in hand. So we've taken a lot of that dependency away from people, sort of with handoff points and everything. >> You're a business that has obviously transformed over the years. I think you said you started in the sixties seventies seventies is a publisher basically, paper printing presses and the like. Nineteen ninety six is when you went online. Is that right? So that early days pretty much of the Internet. So the heart, uh, and so you've proven that you could transform forward thinking. I'm wondering what the conversation might be like inside the company about things like autonomous vehicles. Is there a day that comes where owning your own vehicle is the exception rather than the norm? What implications that might have for your business. It's very hard to predict, obviously, But are you having those kind of conversations? You have other lines of business that you're launching toe >> say you're absolutely right. Those those things are area of concern on wave people, constantly looking at new and emerging changes in threats across the whole industry. On DH, they are absolutely looking at how that might impact our business. What we're actually seeing, though, through research that we've done is people still aspire to own car. So car ownership is still something that people want to want to look at with regards to the second part of your question. We are ultimately focus, that is, that's where we are. We don't operate outside of the UK and Ireland. We absolutely focus on our core on making sure that the services that we offer around that really support our customers need, whether that be consumer or retailer. >> Well, it's interesting that the auto industry really has it been wildly disrupted. I mean, you certainly see Tesla and people talk about autonomous vehicles, but still, the big car makers, they're still doing quite well. They dominate the market so and so it's going to take some time, you know, and there's some skeptics out there, but it's very interesting to see how you guys evolve, what other opportunities you go after. I want to ask you. So Google next is coming to tow London in November. How important is it for you? As somebody is based in the UK tohave, Google have local events like that? I mean obviously a traveling a far distance to come to this event. How important is that to you as a customer? >> It's important for us to be able Teo, get more people involved in the conversation. There's obviously a cost on time effort in terms of coming out tio something here. But it's in The scale of this is enormous in comparison to what we see in the UK, but it just means that having that presence in the U. K. Means that we can just get more of our engineers in front of the right people tohave a better conversation, understand more about what's coming and how we might be able to use that within our business >> things that so you just sort of near early on in your cloud journey. But knowing what you know, and you get it early on, I think you might do differently if you had a mulligan, you want to do over again our advice you give to your colleagues and piers. >> So I think the big thing that we found is modest modernizing applications Before you start moving them into the cloud, I think there is a tendency, Probably way we're in the in the cloud, probably about nine years ten years ago and we bought those workloads back on prime. And the reason why we did that is because we didn't treat them differently way manage those instances in the same way that we managed on prime, which is completely do a wrong way to do it, in my opinion. So we needed to change our mind set in terms of how we manage the infrastructure. You need to make sure that you re architect your applications, that you are taking advantage off the features and functionalities things like auto scaling, that you plan for failure. All those things that you typically control on Prem. You have to think about differently in the clouds. >> We will talk about this a lots to changing, the operator >> said that the long pole in the tent is, you know, modernized those applications. Any change? Migrations is really tough. So but do you have a time for him? How long would take you to get to that? All in that you're planning on >> eighteen months, Cesar, that's >> not just a lift, Did Shift >> S O. That is a modernization. But the approach that we've taken and is to try and give the people the confidence and courage really to go at it is we've picked ofsome easier applications. So this journey about being cloud native, we started six or seven years ago, and we've started getting people building their applications on our private cloud. And those ones have been really easy to move on to the public cloud and some of the applications that I've been a little bit trickier that I've been on our short traditional virtual ization platform. We're trying to pick those off in parallel, so you do one that's really easier one that's a bit harder. So you give people confidence and then you're trying to solve some tricky problems alongside it, and I think that just incrementally gives you more confidence that you're moving in the right direction. >> Right straight. Just like skiing on the then the blacks. And they go into the greens and they're making your moves. >> Just just a little bit. A little bit harder each time you got it, but yeah. >> Russell, thanks so much for coming in. The queue was great. Thank you very much. Okay. Thank you for watching. We'll be right back from Google next in San Francisco.

>> fly from San Francisco. It's the Cube covering Google Club next nineteen Tio by Google Cloud and its ecosystem partners. >> Welcome back to the Cubes live Google next nineteen coverage. I'm General Dave Violante. We're here for three days of wall to wall coverage, breaking down all the content from Google Clouds. Big conference here, Google next twenty nineteen or next gas joke of a vice president. Google Data Centers spans all the data centers that Google and Google Cloud deploy. He's the man in charge of thousands of full time employees, thousands of contractors, tens of thousands of construction worker. He's building out the infrastructure and footprint to make the cloud work for Joe. Welcome to the Cube. >> Thank you both Very much. >> So. Sin DARPA Kai, the CEO of Google, kicked off the Kino, the new CEO of Google Cloud. Thomas Korean came on always ten weeks into the job. Clearly, the investment in Google cloud new building on separate from campus. So Google and Google Cloud or two separate groups, has been reported clearly by us and others. But at the end of the day, you're gonna run all the stuffs on somewhere. So you know, you guys have deep, deep experience. I know personally and following Google and covering Google thie excellence and engineering the excellence in building on data centers. What is the status of just quickly Take a minute to explain how it's organized? Get Google proper, Which is where Ron knows Google, Google Search, etcetera, Gmail and Google Cloud. How's that? How's that operate? What's some of the data points? >> Okay, um so, as you know, the head of the teams that do everything from procuring land and writing energy contracts and buying renewable energy to designing, building and operating all the data centers. Cloud is one of my largest customers. But my other customers air search and ads and Gmail and G sweetened. So, really, our data centers I Google are built for the entire Google enterprise, and cloud happens to be one of our largest internal customers in that enterprise. >> How about some of stats countries, regions, data centers? What's the new one? Because you have regions, you availability zones. Talk about some of the stats inside the numbers >> s o what the starting at the Google level, we have data centers in four continents. So we're in North America South America, Asia and Europe. Of course, we have a probably one of the world's largest global private networks with, you know, thirteen undersea cables that are our own and hundreds of thousands of miles of dark fiber and lit fiber that way operate like I said, probably one of the world's largest networks we have in in Europe were in five countries in Europe, were in two countries in Asia. We're in one country in South America, and that's at the Google and North America. Of course, we have many, many, many sites across all of North America. That's it. The Google level now Cloud has nineteen regions that they operate in and fifty eight zones. So each region, of course, has multiple zones in it. You know, we we cover. Google has presence in over two hundred countries worldwide, so really, it is truly global operations. >> So the two hundred countries is Google wide nineteen cloud regions and fifty eight availability zones. That's Google Cloud. That's great. Okay, so do you not sort of mix infrastructure for cloud and things like Gmail and maps and search is that is that correct? This their separate infrastructures or >> it's It's not so separate infrastructure. So when when my team builds a data center, any one of our internal customers could be in that day this up. In addition to the Google owned and operated data centers, we also have some sites that are least in certain regions, and Cloud may be occupying those. But regardless of whether it's owned or leased, its the same hardware in there, it's the same operation staff that Aeryn they're the same expertise, the same deep knowledge about operating cloud environments. And so, regardless of whether we built it or we leased it >> from a CEO Syrian from a CEO's perspective, it's the same cell A nobody availabilities owners. I mean, that's what really matters, right? Okay, >> talk about the scale because one of the things I liked in the Kino Sundar is awesome. And Chris, Great keynote, You scale multiple times. He also had a clever comin around steal, she's said before publicly, amount of steel that goes into building this. This gives you guys large scale. Your guys are building on massive. It's like smart cities almost cause of your own like country, pretty much on the infrastructure. What are some of the key learning that you guys had because you have to be very efficient. Google likes to solve hard problems. You guys have done some things with sustainability. Specifically, talk about some of the learnings. As you guys have been building out these data centers for years with cloud on a massive expansion, you gotta watch the environment. You got to do some things. What if some of the learnings with some of the notable accomplishments you guys air forging on and what are some of the goals? >> So I googled we've been We've been at this for two decades. For more than twenty years we've been building and innovating on hyper efficiency, hyper scale, basically trying to build infrastructure that was more sustainable than had ever been thought possible. And then as our cloud business started to expand and boom, frankly, we set apart Teo build the world's most sustainable cloud. And really, what that means is that you know, we were the first company to announce that we were buying one hundred percent renewable energy, new renewable P P A's to match one hundred percent of our consumption and in twenty seventeen, we achieve that. That was after being carbon neutral for ten years before that. So going all the way back to two thousand seven were a carbon neutral company by mostly buying, buying high quality carbon offsets. Then we decided that no, we want to advance the transition, Teo renewable and sustainable energy. So we started buying direct power purchase agreements for wind and solar on DH. And then in twenty seventeen, we announced that we had matched one hundred percent. What that means is that we've acquired over three gigawatts of new solar and wind power purchase agreements, Mom. And now we're taking it a step further. We have a very ambitious kind of moonshot. Arguably, too, not only match our consumption, but match it twenty four hours a day, seven days a week, three sixty five. So you can imagine the complexity with this because the wind doesn't always blow, the sun doesn't always shine. And so that's going to take moonshot thinking in order for us to get there. But we feel so strongly about it were so committed to this cause that we've got a dedicated team working on this right now. >> So it's not just squeezing tea. You'ii out of the data center I'm sure you're doing that, but absolutely doing >> that. Since the earliest days I've been at Google for over eleven years. From the very first day I got there, I was completely blown away with the numbers that I was seeing about the Peewee and for maybe your audience. Pee Wee's a measure of efficiency in the data center, and and at the time, like back two thousand eight, Cooper was achieving numbers that the EPA thought wouldn't be achieved until, like, twenty twenty. And so I started to dig in and look how, and it was astounding to me the lengths that the company had gone tio toe optimize every single step of the way from the high voltage transformers in our own dedicated substations. Excuse me that that are much more efficient than typical. You know, utility transformers all the way through, minimizing the number of transformations going from grid level like three hundred forty five thousand bolts down to server voltage level, minimising the number of transformations reinventing the way people think about cooling. When we when I got to Google, I was also amazed. Our data centers are running it like roughly about eighty degrees Fahrenheit most data centers run it like sixty five degrees are data centers consume about half of the energy of a traditional enterprise data center at the same size. And in addition to that, we're producing about seven times the computer capacity for the same amount of Watts that enterprise data >> centers comes from. A from a practice of engineering really purpose engineering from day one into the overall holistic plan of the building. >> It's a relentless focus on efficiency and innovation. Right from Day one, when I got there, it had already been well in motion, but it's optimizing across the entire stack. It's optimizing software to be efficient, optimizing the server architecture er, to be more efficient, optimizing the power supplies in the server's optimizing the racks. You know, designing the racks to be working with the cooling equipment, specifically, are cooling systems are unique to Google. There they're not traditional air conditioning units that you would buy for traditional data centers. Sometimes, you know, we'll sight data centers where we can use natural environment in Finland. Our data centers right on the Gulf of Finland, and we use cold seawater from the Gulf of Finland to cool the data center. >> So to be clear, you're doing quite a bit of vertical integration, whether it's your own transformers of power supplies and other equipment, right? Try >> fiberoptic across the K Atlantica, Sundar pointed out. That's what I was doing your own stuff, absolutely officious as you pass on in savings to the customers and society with the sustainability piece. That's right. You have two angles on that. >> Really, it's you know it's good business, of course, because the bottom line. But more importantly, it's also the right thing for us to do. We feel very strongly that we need to be responsible for our impact on the environment and to minimize that impact and to be accountable for it. And we realized that the only way we can truly be accountable for our impact on the environment and for our energy consumption is to have it matched with renewable energy twenty four hours a day, seven days a week, >> not take a side track you. But you know, we've been covering the tech business for many, many decades, and certainly recently tech kind of got a bad name headlines. But I always look for tech stories that you know there was a text bad for people. There's always a good story. I think this is an example of tech for good. You guys have taken real engineering, building large scale systems and facilities, have software running on it. It's really a tech for good story. Congratulations on that. That's awesome work. Now I want to kind of asked you put you on the spot here because I think one conversation we're hearing a lot and I want him Get your expert opinion on this could be Google and also a CZ a person in the industry. Security in the supply chain has come up a lot in terms of whether chips have been hacked. Wave heard things like that in the story. Some of them have proved to be misinformation. Fake news. But you gotta watch security. Google's really hard core on security because you you lived that. How do you look at the supply chain? Is if you're not just throwing contractors at this, you could thinking of a realistic ground zero engineering approach to a holistic picture. How do you guys manage security challenge in the supply chain? Throughout the facilities from chips Teo, access things of that nature. >> So there's two aspects. There's always the logical and the physical security aspect from the physical security aspect in our warehouses that we manage. Of course, we apply the same rigorous standards for physical security. That way, do it their data centers. And that's multi layer in various different types of security technologies that we apply. And but on the logical side, you know, I think you're probably familiar with our Titan chips that way developed and those tightened ships are put in all of our servers, and from the time that they're built to the time that they're in the facility, you know those those chips that's our are securing the servers and your logical side. Though the you know, my colleagues on our information security team are truly the experts that could address that. >> That's where the software shines. That's right, and this is not just one. It's not a silo. You gotta deal physical build. It's kind of a bigger is It's a holistic, any rated model >> it is, and this is, you know, from from the data center industry perspective for us. Long as there's been it, there's always been the debate between facilities and I t right. When I got to Google, I was also so relieved to see that was all technical infrastructure and the systems. The software that runs on those those data centers are all under the same technical infrastructure group. And so you know it all. The buck stops at *** >> For years, there was a discussion and generalize about those groups coming together, and I think the way they come together is the cloud. Frankly, because you haven't seen a lot of change within organizations of ight and facilities really working together, that's right. >> Well, Joe, thanks for coming on the Q. Thanks for sharing your insight. Final word. What's the thoughts folks watching out there who were trying to understand how to bring technology into facilities? In general, people still have data centers they still have on premise activity, from lightbulbs to whatever any, any learnings in parting wisdom. Folks watching there in the facilities and or physical building space on howto build out these, whether it's smart cities with its construction and experiences, you could share with folks out there looking to build a ballistic long term plan. >> Yeah, there's a there's a few things first of all, we've published all of our energy efficiency, best practices. And so I encourage everyone to take a look at those best practices because the best you know, energy savings is the energy not consumed in the first place. So do all the right things to reduce the overall energy consumption in the first place to we want to help further the transition to renewable energy. And so we've published a lot about our power purchase agreements and a lot of the policy work that enables us to do. Those is also set in place for other large energy consumers that want to do the same thing. So our policy work can help Teo allow others to do the same thing. The third part of our sustainability aspect is really a circular economy. You know, we want Teo. I have zero waste to a landfill. We've currently achieved ninety one percent diversion of all of our data center operations, so ninety one percent is diverted to landfill. But we have a objective of one hundred percent note note no waste to a landfill. And then that means you have to do smart things like better re use better recycling better reselling of products that are still good but maybe out of date for for your use and then just ended off. We've really invested in our machine learning and a intelligence both on the data center operations. We have now ml running our some of our cooling systems in fully autonomous mode and doing a much better job of matching the cooling needs to the workloads at the time. And we took that same learning with our deepmind group, partnered with them, and we've applied that Teo are a wind farm now as well, so that they can better predict what the output of wind farm is going to be thirty six hours in advance. That allows the operators of the grid to better bring on more more energy and get higher value Out of that that win dinner. >> Great engineering story at scale. Congratulations. Love the societal impact tech for good. Congratulations. Love to have you back talk about the impact of a i ot Joe, Thanks for coming on the Yeah, it's all coming together with our arms. Jean. A center is not going away. House in the cloud needs to run on servers and has to be done in a engine engineered fashion. Google's leading the charge there. It's Cube Live coverage day, one of three days of coverage will be right back after this short break.