so at 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 13 undersea cables that are our own and hundreds of thousands of miles of dark fiber and and lit fiber that we you know we operate like I said probably one of the world's largest networks we have in in Europe were in five countries in Europe we're in two countries in Asia were in one country in South America and that's at the Google and in North America of course we have many many many sites across all of North America that's at the Google level now cloud has 19 regions that they operate in and 58 zones so each region of course has multiple zones in it you know we cover Google has presence in over 200 countries worldwide so really it is truly global operations so AccuWeather has been running an API service for the past ten years and we have lots of enterprise clients but we started to realize we are missing a whole business opportunity so we partnered with a eg and we created a new self-serve API 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 api's because as you said everything is api's we also say everything is impacted by the weather so why not have everyone use a cue other api's to fulfill their weather needs I think if you look at what's going on and I talk to a lot of customers and developers and IT teams and clearly I think they are overwhelmed with the different things which are going on in this space so how do you make it simple how do you make it open how do you make it hybrid so you have flexibility of choices becoming top of the mind for many of the users now the lock in which many vendors currently provide it becomes very difficult for many of this users people moving around and meet the business requirements so I think having a solution and technology stack which is really understanding that complexity around that and making it simple in after dock I think is important so the focus well there's a theme in 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 anthos this morning which was really revolutionary way of using containers broadly Multi cloud hybrid 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 core to Google's values around openness open-source technology and really embracing the broader community to build the cloud together well you know I think it continues to be continues to cooperate in the technical community very well and a couple of data points right one is around kubernetes that started what four or five years ago and that's going really strong but more importantly you know as the industry matures there are what I would call special interest groups that are starting to emerge in the kubernetes community one thing that we are playing very close attention to is the storage sake which is the ability to federated storage across multiple clouds and how do you do it seamlessly within the framework of googan IDs as opposed to trying to create a hack or a one-off that some vendors attempted to do so we try to take a very holistic view of it and make sure I mean the industry we are in it's time to drive volumes and volumes drive standards so I think we play very very close I think one of the biggest things that I'm seeing in this entire conference to date has been almost a mind shift change I mean this is conferences called Google Next and for a long time that's been one of their biggest problems they're focusing on what's next rather than what is today and they're inventing the future - almost at the expense of the present I think the big messaging today was both about reassuring enterprises that they're serious about this and also building a narrative where they're now talking about coming at this from a position of being able to embrace customers where they are and speak their language I think that that's transformative for Google and it's something I don't think that we've seen them do seriously at least not for very long I think that there's no question that this is a data game and we said early on John and the cube that big data war was going to be one in the cloud the data was going to reside in the cloud and having now machine intelligence applied to that data is what's giving companies competitive advantage and scale and economics I was struck by the stats that Google gave at the beginning of the keynote today Google in the last three years has spent 47 billion dollars on capital expenditures this year to date alone they've spent 13 billion dollars in capex and data centers 13 billion it would take IBM three and a half years to spend that much in capex it would take Oracle six years so from an economic standpoint in a scale standpoint Google Microsoft and Amazon are gonna win that game there's no question in my mind I am a student of AI I did my masters and PhD in that and I went through that change in my career because we had to collect the data match it and now analyze it and actually make a decision about it and we had a lot of false positives in some cases know something of which you don't want that either and what happened is our modeling capabilities became much better and we with this rich data and you actually tap into that data like you can go in there the data is there and disparate data we can pull in data from different sources and actually remove the outliers and make our decision real time right there we didn't have the processing capability we didn't have a place like pops up where global can scan and bring in data at hundreds of gigabytes of data that's messaging that you want to deal with at scale no matter where it is and process that that wasn't available for us now it's a real it's like a candy shop for technologists all the technologies in our hands and we want all these things so if you look at that category of that repetitive work AI can play a really amazing role in helping alleviate that mundane repetitive work and so you know great example of that as smart composed which hopefully you've used yep and so what we look at is things like say a salutation in an email where you have to think about who are you addressing how do you want to address them how do you spell their name we can alleviate that and make your composition much faster so the exciting announcement that we had today was that we are leveraging the Google assistant so the assistant that you're used to using at home via your home devices or on your phone and we're connecting that to your Google Calendar and so you'll be able to ask your assistant what you have on your schedule you know know what's ahead of you during your day and be able to do that on the go so you know I think in general one of the unique opportunities that we have with G suite is not only AI for taking these products that consumers know in love and bringing them into the enterprise and so we see that that helps people adopt and understand the products if it also just brings that like consumer grade simplicity and elegance in the design into the enterprise which brings joy to the workplace yeah so we've been working we've been hard at work over the last eight months since our last next can you believe that it's only been eight months and we last last year we were here announcing gk on prem this year we've rebranded CSP to anthos and enlarged it and we've moved it to GA so that's the big announcements in our spotlight we actually walk through all the pieces and gave three live demos as well as had two customers on stage and really the big difference in the eight months is while we're moving to GA now we've been working throughout this time with a set of customers we saw unprecedented demand for what we announced last year and we've had that privilege of working with customers to build a product which is what's unique really yeah and so we had two of those folks up on stage talking about the transformation that anthos is creating in their companies yeah absolutely I think particularly most of the larger enterprise accounts tend to have a multi vendor strategy for almost every category right including cloud which typically is one of the largest pens and you know it's it's typically what we see is people looking at certain classes or workloads running on particular clouds so it may be transactional systems running on AWS you know a lot of their more traditional enterprise workloads that were running on Windows servers potentially running on this year we see a lot of interest in data intensive sorts of analytics workloads potentially running on GCP and so I think larger companies tend to kind of look at it in terms of what's the best platform for the use case that they have in mind but in general you know I they are looking at multiple cloud vendors [Music] you

>> fly from San Francisco. It's the Cube covering Google Cloud next nineteen Tio by Google Cloud and its ecosystem partners. >> Welcome back, everyone live coverage here in San Francisco for the Cube, Google Cloud next twenty nineteen to show around Cloud, Google Cloud, I'm John Forest Do Minimum and Dave along. We've been here all week, three days of wall to wall coverage here on the floor with all the exhibitors. Write the mean all the action we've talked to all the thought leaders, Google executives, entrepreneurs, experts are in the cloud and around the ecosystem. Dave's stew wrapping up the wrap up segment. Kind of can I put the show to rest and look to next year and possibly Google summits. There's one in New York and some other shows we're looking to also cover. But if you look encapsulate the show, I want to get your guys reaction, too. What the main themes have been, we're seeing obviously anthems was the big news. That's the big deal. That's their platform. They want to bring all the connective tissue around data security and really on prim hybrid cloud multi cloud application modernization. Clearly, during my open source and enterprise developers, plus the ability to hybrid and multi cloud stew. Your thoughts on the show. >> Yeah. So, John, you know, when I first saw Antos, I was like, Well, this is CSP that they announced last year We were excited about that talk about things like Azure Stack and eight of us Outpost. But the more I learn about it, the more I understand it. It's more than just kind of g k e and a little bit of packaging here, Eric for David. I just interviewed a Google fellow and, you know, you expect the the Google Fellow to really be able to articulate, You know, the history of Google and the distributor architect doing is like we're going to enable cloud native. Of course, we always had that in the Google Cloud, but now we're going to make that easier for you to do that in your own environment. So when you're thinking about modernizing your applications, you know, I was a little bit tough on Google when I said, Oh, I hear a lot about lift and shift. Well, most customers can't lifted, shifted, not change, because then I'LL pull it back. It's too expensive, but if I could modernize wherever it makes the most sense. I talked to some customers here that said, Look, I need to kick the team and get it into the cloud And then I could modernize and start falling apart. But for someone customers, I can't move that. And they need to modernize it here and that Antos is the key enabler and therefore it's a good message, its extension of what they done with Cuba. Netease. That's a lot of other pieces here. But you know, I'm pretty impressed. >> They want to get your thoughts is one of things I'm seeing and, you know, in sports they wanna team, plays a game and wins. They call it a statement game. I think Google Cloud next twenty nineteen is a statement by Google saying, We're into the enterprise. We're not goingto waiver. We got hired Thomas Curry and mid savory. They're going to keep all the great talent. No one's believing. It's not like a new regime. Change came in. They're pivoting. They knows there's no pivot here. They put a stake in the ground saying we are going to invest in the clouds soon. DARPA Kai, the CEO of Google said that on stage of day one, they're clearly putting all the window dressing around enterprise with all the great phrases that we love. Digital transformation, data centric architecture, multi cloud hybrid monitors that applications They're invested, Dave. They are in it to play. They recognize that they're not gonna win right away because it's a long game. So Google clearly is playing the cards properly. They're saying, Look, if we're going to bring a lot of the table and this long time table, but we're in it to play and we're going to play well when invest. >> Yeah, I think it took a while for me to get there Stew, too. He is. I heard a lot about what Right we do get a global distributed infrastructure or we're doing the applications for digital transformation. We got industry specific solutions. Is what way d'Oh. Okay. Great. And I heard a lot of you know differentiators are unique value proposition. So, for civil, what I would have liked to hear it right up front was okay. We know that eighty percent of your workloads are on Prem. Well, guess what, and we're investing in scale and all that stuff, but We're the best at cloud native and and we're going to take and we have the tools and expertise. We're gonna bring those to you on your premises and show you how to get there. And then when you're ready, come to the cloud. If you're never ready, that's fine. But we're going to earn the right for your future business. Hey said that Stead that >> right way, the things we're wondering your business. But I don't think they can yet say were the best that cloud native and that I think that's that's still good self awareness studio for Google. >> I think they could say it now. Maybe it's debatable. >> I would debate that I do not think that Google is the best cloud native cloud at this point. I don't think they have the breath and depth Amazon has, but I don't think that that's the hard core stick in the ground. Because Cloud native is early cnc F, they're investing heavily in open source is a big bet that they're talking about. They got a lot more work to do but cloud needed. Still, it's still early because you said the workloads is still on premise for most of the enterprises, so we got plenty of time. The point is, if they had overplayed that card, I would have been more cautious. >> Well, I mean, Okay, fine, huh? Let's talk talk about that a little bit because it's new. It's Would you? Would you disagree that internally, Google's got the most sophisticated, the best cloud in the world internally, globally for Google. And they make that comment when they make that claim, right? That start there, we get the best cloud in the world. Yeah, >> well, I think it's got a great cloud, >> too. Okay, so there's stuff on there. I mean, they've got least got some credibility there, so I would have come from that position straight now. The other criticism I heard was where the numbers. Now, that doesn't bother me so much. How long did it take Amazon to show us the numbers? Nine years? I think so. Good. We'LL get there, it's clear it's growing. You look around here. There's what thirty thirty five thousand people don't know what was there last year. Twenty. Twenty five thousand. It's growing, it's growing nicely and the quality of the people is good. >> Here's what I'd say about Google Cloud Steward? Let's get your reaction. Sudhir has Bay said this. He's the director product. Mentioning about cloud fusion, he said This from a customer quote. Google's cloud is like an awesome highway, but I can't get my car on the road. So that's the on ramp. >> I can't get by giving car. Okay, so so this note about you Look at the >> technology from Spanner Cooper duties, which was founded inside Google. And they did that right. Big queries. Amazing. They have freaking amazing tech because they had to do it for Google. So I think that is a key strategy. And I, like other clouds that have come in and then died away, didn't have a lot of tech chops. So Cultural Shift is one of the big teams, but on ramping, getting people on board and the bed another source. I think there's a gestation period that's gives Google some time. I don't think they gotta have it overnight there some table stakes, but they're there checking the boxes just kind of grind it out. >> I mean, look, the critique has been for years is you know, Google's too smart for all of us. you know, way have love reading the papers and were really impressed with the technology. But the term you heard over and over again this week, we're going to meet customers where they are. And I I almost failed. They dialled it down a little too much here because I didn't have anything that I'm like. Wow, blown away. Like, you know, they had er's up on stage and it's like I'm used to seeing him flying out of a plane with a Google glass on his head. >> I was started by the way that was Google. I o like, you're >> gay. But, you know, you know, one of that's what you expect from a googol is you know, some of those pieces and there wasn't a G wow amazing moment for me, but the messaging solid, they absolutely you know, understanding or solving some real customer problems today and, you know, solid >> well and one hundred percent of the cloud providers now have a coherent and explainable hybrid on Prem strategy. You know, frankly, it's about time. I mean, they were denying that for a long time, and I think it's clear that's where the business is >> well to me. The big criteria on the cloud game is Do they have the global footprint? They do. Do they have the software at scale Check? Do they have the connective tissue to bring these disparity opportunity data services together Check working on it, continue to improve. And are they on the philosophy side of things? Meaning one of things that I am made Amazon really great. Wass they from day one. We're a P I center who will always has been part of web services. So they have that DNA. I think apogee is going to be the secret little dark horse. And all this is going to tell Signe because as a p, I become programmable. You saw Sisko of'em wear on stage. Can they build on ecosystem? Can they work with multiple vendors? Because the fact is, from our data and we've been reporting on this on silicon angle and Wiki bomb is that big enterprises and governments, whether it's a d, o. D. Or a big bank, are gonna have hundreds of cloud projects, hundreds of workloads that's going to require unique clouds selection criteria because you cannot separate real time data from software, and that's just the facts of the databases are moving all over the place. If I gotta work Lodi, any data? I gotta be agile with the data, but I then need a data plane to connect across other workload. So workload conversation, I don't think was front and center enough where workloads are for the key criteria. >> And still some of the message on where Google fits in that hybrid and multi cloud world is a little bit muddy to me. So how did they get, you know, on those in your data center? Well, it's a deep partnership with V m where, uh, you know, I heard some people here. It's like, Oh, well, the current Amazon VM wear deal, you know, is like up for renewal soon. It's like I don't see Veum Where an Amazon separating that Latino way. People engineering partnerships. We've heard directly from Andy Jazz sees talked about on the Cube how important that relationship is. S O Veum was going to play across all the cloud environment. But you know, where does Google, you know, really make their money? They're going to partner with all the open source companies. And you know, you're going to own your data. We're going to make sure the prophecies there. So is Dave Said the numbers and the business of how Google Khun start slow scaling and really growing the enterprise business beyond, you know, G sweets now, part of it. And we saw some of the android for enterprise, and they have lots of pieces, but the cloud revenue gets a little bit muddy like a Microsoft. So, you know, from the cloud piece itself, I'm not sure where you know they start gaining on a Microsoft or an Amazon today. >> Well, I think that they could gain ground, take territories. That said on on Day one, Jennifer Linds, demo of no code modification, migration of workloads. If that actually happens, that's going to be a critical piece of the pie that's going to move. Move the needle very quickly for at Google. But I >> want to get you >> guys take on surprises. What surprised you here at the show? What was something that you didn't expect happen? That was a surprise on a good way. To me, the big surprise is that the word customer was used a lot more here than ever before. Customer is the key to success in the enterprise, listening to customer and customer choice. That's the playbook from Amazon. You don't hear Andy Jassy or any other executive Amazon go three words without saying the word customer. If you had a tag cloud and be like customers, the biggest font here we've heard customer choice. That's been a big one for me. >> Surprises. I was going to say when you were asking that question to get to me. It was customer related as well. You know clearly when you in Amazon show it's just customer. Just get inundated with a cool injection of customers. It's very impressive, but you don't have that scale here. However, What did see is a lot of Fortune. One thousand company's senior people were here. Yeah, still kicking the tires but learning. And I think that usually leads to something. So I think Google's developing a lot of pipeline at this show that I think next year is going to translate. We had conversations John with companies that we can't mention on air, but they are seriously substantively looking at moving workloads into Google's Cloud Number one. Number two is if you look around here, Deloitte, Accenture at toes. You know, some of the biggest. I'd like to see more of those global s eyes, and I think you will. And that's where you're going to really start to see customers. >> Dave took the customer. I'll say partner. So we said in one of our analysis segments, that logo slides Good. But, you know, compare itto Microsoft or Amazon. It needs to quadruple where it is today. But in the conversations that I had from startups through some of those big logo's on here, partnering with Google is good for them and they're excited by it. And that's not necessarily the clay case for every one of the big cloud providers out there. >> All right, so a lot of multi cloud talk. I've said multi clouds all the rage, but it's really more a symptom of sort of multi vendor people going best of breed with different departments. Big news last night on Jet I John, I want to get your take. Google really wasn't I don't think ever in the running, but certainly, you know Amazon was the lead Oracle, IBM, Microsoft share the news in your analysis of that news. >> Well, yesterday there was news that the Department of Defense, this Jet I contract joint defense initiative that's going on joining the Price Defense Initiative system. The military cloud ten billion dollar contract was under a lot of It's the biggest story in Tech and DC in generations. It's the confluence of procurement being outdated. Clouds selection, one soul cloud for that workload, multi cloud across in the department and a lot of lost business, potentially for Oracle in IBM. So Amazon, Microsoft, Amazon, Webster's, Microsoft, Oracle and IBM. We're all fighting for this business. The incumbents IBM and Oracle. We're potentially at risk billions of dollars. So it's been a lot of dirty pool, so to speak, a lot of dirty politics, a lot of dirty smear campaigns going on, from Oracle to to Amazon to try to discredit them. So the D. O d. Oracle soothe d o d. Saying is unfair process conflict of interest? The D. O. D made a final selection. Amazon Web services and Microsoft are the final selections and basically kicking out Oracle and IBM at the process. So Oracle, IBM are out. Oracle's lawsuit's still pending that'LL probably be dismissed because Oracle tried three different times to claim conflict of interest. They tried to claim conflict of interest in. And where has three in my notes here July twenty eighteen, November twenty eighteen and April twenty nineteen. All three times competition has been not proven, and Oracle and IBM or out. The analysis here is, is that this proves what we've been saying on the Q and that is, is that you can have one cloud soul cloud for a workload. So the Department of Defense has hundreds of projects. But for the military project that ten billion dollar one Amazon or Microsoft, probably the Amazon to the front runner can serve that cloud. And that's the best architecture. That means that Microsoft will probably win the eight billion dollar contract of the D. O. E s contract for collaboration again. Soul Cloud Soul workload. This is the trendy. My analysis is that Oracle on IBM, mainly Oracle, knew that they were going to lose. They tried to do whatever it takes to kill the deal. And now the D. O. D. Has brought forward and their modernizing the application and all these lawsuits about procurement rules from nineteen eighty five all this trip wires, all these little nuances. This is a great win for the Department of Defense, and I think it is a tell sign for large enterprises because you could be multiple. You'd have multiple clouds, but you can have one cloud work on one workload. It could be a big monster workload like a ten billion dollar >> workload. >> There could be a small work. >> All the tech vendors want to eat it. The government trough, We know that. And so the why is this relevant? It's relevant to me because you're you're absolutely right for a particular set of workloads. Mission critical workloads, especially a single cloud, is going to be more cost effective, more secure, uh, higher availability, less complex. And that's really what the debate is here now is multi cloud gonna happen? Of course, for different workloads is going to be horses for courses. So multi cloud is a huge opportunity. Everybody's going after it stew uh, Google through its hat in the ring in a big way. We seem to have a couple of camps lining up and read. Had interesting, interesting leads in both camps. Kind of got the IBM redhead camp and of'em wear with now with Google Really interesting sort of chessboard matches going on? >> Yeah, absolutely. Every customer we talked to hear. There's no like, Oh, you know, I might be moving most of my stuff or even all of my stuff to the public cloud, but it is workload dependent, and that's how I'm choosing it. Google has some key strength. I took a little while to get the data and I and ML pieces that we know Google has some strength here. One of the questions I had coming into it Can they reclaim kind of that thought leadership space. I'd love to hear whether you guys think I think that was the case, but, you know, messaging point on good speed. You know T K has them talking to the Enterprise in a way that won't scare them away as to oh, geez, I'm not smart enough to work with Google so >> well, I think I think Google has to get enterprise compatible and they've been working really hard to do that, and they got it. Just grind it out. I said this on Tuesday. It's a grinding out game. They've got a got a fight to the trenches. We've got to get the check boxes, and this is what Amazon did that early on and helped them a lot. Google has been working hard, I think, their security angle with the from a device. I phoned the Android phone and onboard security at the edge is huge. I think data and Big Query and those kinds of on boarding tools is going to be a great accelerant. I think cloud code cloud Run Cloud build is a phenomenal construct. I think that's absolutely delivered Ella for friendly. If they can continue to serve the developer for the enterprise and make it easy to build and stand up applications that hit that sweet spot of the trend, which is the modernization of enterprise APS not develop, perhaps not like a startup started sort. Different styles are cloud born in the cloud enterprise that's gonna deal with legacy and all these compliance and all this risk. They could make that easy and make it Dev ops like That's a great check boxes. >> Just a quick note on that, because there was a lot of enterprise talk there. There's a nice group inside a Google, working with a lot of the startups, got to talk to a couple of the start up there, and Google's definitely company there looking to partner with. All >> right, guys, let's wrap this up. Google really leaning into the enterprise heavily. Obviously, they're not. They're not blinking. They're going to continue power forward thinking. I like the mojo they have here. They got a new CEO. We interviewed George Curry, and Thomas's brother Thomas couldn't make it on the Cube. He's super busy talking to customers were gonna get him on the cue soon, but you got a culture here. Google and the culture is innovation, and the cultures Dev ops. The culture's developed for the country's AP eyes D. That puts him in a good position, >> their thoughts. I mean, I've been saying for a decade I feel like a broken record. I said it so much. I stopped saying it that the marginal economics of the Cloud service providers who have scale are driving towards zero. In other words, the more volume they do, they're there. The cost of adding an extra customer goes down to zero, just like software. There's three companies in United States who have that scale Google, Amazon and Microsoft. Obviously some guys outside the U. S. And you look at the cap Ex numbers forty seven billion over the last three years by Google. Thirteen and a half billion year to date US data centers alone. It would take IBM three and a half years to spend that much on Affects Who take Oracle six years. Okay, they just do not have the marginal economics to compete. They'LL compete in other ways, but though these three are in it to win it this big market, they're trillion dollar market. There's enough room for each to carve out an opportunity and continue to grow for quite some time. Do >> and Google lining up their ecosystem of partners to help them get deep into the enterprise. Absolutely, There's good opportunity for Google to do a number of acquisitions. They have, you know, a big bank spend a lot of money not just on infrastructure, but all the partner engagements and definitely some acquisition to help them get there. Wouldn't be surprised if they, you know, made some nice acquisition to help them grow that enterprise. I am in a modern way way now that was mentioned to it was carrying twins could be back together, but sure, >> awesome stuff. Guys, I think my my final take is I've always said Google's the Dark Horse and the Cloud game. They don't have a lot of baggage like a lot of work to do, and they're they're working hard and they really bring in tech to the table that bringing that culture of innovation, they're there behind this. Opportunities for them to move the ball down the field in a big way. I think they can take territory and gain share quickly if global things follow the place. If those bets come home, this dark horse will be right up on number two really quickly. So great job. Wanna thank Google, Google's team Cool calms Team, Google's CMO and executive Thomas carrying for letting us come to the Cube. Bring the Cube here. Google's very co creation oriented. We appreciate the location. I want to thank Google one. Thanks to our sponsors about our sponsors, we wouldn't be here, so he city signal FX. We got net app. We got Saada. We got some great clients here supporting us. You, Fio. Thanks to our sponsors, they signal to the community they care and they support our programs. Our tenth year of Cube coverage at events one. Thank everyone for watching, listening, sharing hit us up on Twitter at Cube and also silken angle dot com. We now are adding on a new feature to our Cube, which is on silicon angle dot com special reports where we flow as many stories as it takes to get the truth out there. Get the story's right, of course. Used the cube and stream the data with you here on the Cube. We're here. Google Next in San Francisco. I'm John Faria student Min David Long. Thanks for watching.

>> fly from San Francisco. It's the Cube covering Google Cloud next nineteen, brought to you by Google Cloud and its ecosystem partners. >> Welcome back. This is Day three of Google Cloud. Next, you're watching the Cube, the leader in live tech coverage. The cube goes out to the events. We extract the signal from the noise. My name is Dave Volante. I'm here with my co host to minimum. John Farrier has been here >> all week. Wall to wall >> coverage, three days. Check out cube dot net for all the videos. Silicon angle dot com For all the news, Eric Brewer is here is the vice president of Infrastructure and a Google fellow. Dr Breuer, Thanks for coming on The Cube. >> Happy to be here to see >> you. So tell us the story of sort of infrastructure and the evolution at Google. And then we'll talk about how you're you're taking what you've learned inside a googol and helping customers apply it. >> Yeah, one or two things about Google is it essentially makes no use of virtual machines internally. That's because Google started in nineteen ninety eight, which is the same year that VM where started it was kind of brought the modern virtual machine to bear. And so good infrastructure tends to be built really on kind of classic Unix processes on communication. And so scaling that up, you get a system that works a lot with just prophecies and containers. So kind of when I saw containers come along with Doctor who said, Well, that's a good model for us and we could take what we know internally, which was called Boring a big scheduler and we could turn that into Cooper Netease and we'LL open source it. And suddenly we have kind of a a cloud version of Google that works the way we would like it to work a bit more about the containers and AP eyes and services rather than kind of the low level infrastructure. >> Would you refer from from that comment that you essentially had a cleaner sheet of paper when when containers started to ascend, I >> kind of feel like it's not an accident. But Google influenced Lena Lennox's use of containers right, which influenced doctors use of containers, and we kind of merged the two concepts on. It became a good way to deploy applications that separates the application from the underlying machine instead of playing a machine and OS and application together, we'd actually like to separate those and say we'LL manage the Western machine and let's just deploy applications independent of machines. Now we can have lots of applications for machine improved realization. Improve your productivity. That's kind of way we're already doing internally what was not common in the traditional cloud. But it's actually a more productive way to work, >> Eric. My backgrounds and infrastructure. And, you know, I was actually at the first doctor. Calm back in twenty fourteen, only a few hundred of us, you know, right across the street from where we were here. And I saw the Google presentation. I was like, Oh, my gosh, I lived through that wave of virtual ization, and the nirvana we want is I want to just be able to build my application, not worry about all of those underlying pieces of infrastructure we're making progress for. We're not there. How are we doing as an industry as a whole? And, you know, get Teo, say it's where are we? And what Google looking that Cooper, Netease and all these other pieces to improve that. What do you still see is the the the room for growth. >> Well, it's pretty clear that you Burnett is one in the sense that if you're building new applications for enterprise, that's currently the way you would build them now. But it doesn't help you move your legacy stuff on it for, say, help you move to the cloud. It may be that you have worth loads on Crim that you would like to modernize their on V EMS or bare metal, their traditional kind of eighties APS in Java or whatever. And how does Cooper Netease affect those? That's that's actually still place where I think things are evolving. The good news now is much easier to mix kind of additional services and new services using SDO and other things on GC people contain arising workloads. But actually it would say most people are actually just do the new stuff in Cooper Netease and and wrapped the old stuff to make it look like a service that gets you pretty far. And then over time you khun containerized workloads that you really care about. You want to invest in and what's new with an so so you can kind of make some of those transitions on fram. Ifyou'd like separate from moving to the cloud and then you can decide. Oh, this workload goes in the cloud. This work load. I need to keep on priming for awhile, but I still want to modernize it of a lot more flexibility. >> Can you just parts that a little bit for us? You're talking about the migration service that that's that's coming out? Or is it part of >> the way the Val Estrada work, which is kind of can take a V M A. Converted to a container? It's a newer version of that which really kind of gives you a A manifest, essentially for the container. So you know what's inside it. You can actually use it as in the modern way. That's migration tool, and it's super useful. But I kind of feel like even just being able to run high call the Communities on Crim is a pretty useful step because you get to developer velocity, you get released frequency. You get more the coupling of operations and development, so you get a lot of benefits on treme. But also, when you move to cloud, you could go too geeky and get a you know, a great community experience whenever you're ready to make that transition. >> So it sounds like that what you described with Santos is particularly on from pieces like an elixir to help people you know more easily get to a cloud native environment and then, ultimately, Brigitte to the >> class. That's kind of like we're helping people get cloud native benefits where they are right now. On a day on their own time. Khun decide. You know not only when to move a workload, but even frankly, which cloud to move it to right. We prefer, obviously moved to Google Cloud, and we'LL take our chances because I think these cattle native applications were particularly good at. But it's more important that they are moving to this kind of modern platform but helps them, and it increases our impact on the Indus. Sory to have this happen. >> Help us understand the nuance there because there's obvious benefits of being in the public cloud. You know, being able to rent infrastructure op X versus cap packs and manage services, etcetera. But to the extent that you could bring that cloud experience, Tio, you're on premises to your data. That's what many people want to have that hybrid experience for sure. But but other than that, the obvious benefits that I get from a public cloud, what are the other nuances of actually moving into the public cloud from experience standpoint in the business value perspective? >> Well, one question is, how much rewriting do you have to do because it's a big transition? Moved a cloud that's also big transition to rewrite some of your applications. So in this model, we're actually separating those two steps, and you can do them in either order. You can lift and shift to move to cloud and then modernize it, but it's also perfectly fine. I'm gonna modernize on Graham, read my do my rewrites in a safe controlled environment that I understand this low risk for me. And then I'm going to move it to the cloud because now I have something that's really ready for the cloud and has been thought through carefully that way on that having those two options is actually an important change. With Anthony >> Wavered some stats. I think Thomas mentioned them that eighty percent of the workloads are still on prams way here. That all the time. And some portion of those workloads are mission critical workloads with a lot of custom code that people really don't want to necessarily freeze. Ah, and a lot of times, if you gonna migrate, you have to free. So my question is, can I bring some of those Antos on other Google benefits to on Prem and not have to freeze the code, not have to rewrite just kind of permanently essentially, uh, leave those there and it take my other stuff and move it into the cloud? Is that what people are doing? And can I >> work? Things mix. But I would say the beachhead is having well managed Cooper and his clusters on Prem. Okay, you can use for new development or a place to do your read rights or partial read writes. You convicts V EMS and mainframes and Cooper Netease. They're all mix herbal. It's not a big problem, especially this to where it could make him look like they're part of the same service >> on framework, Right? >> S o. I think it's more about having the ability to execute modern development on prim and feel like you're really being able to change those acts the way you want and on a good timeline. >> Okay, so I've heard several times this week that Santos is a game changer. That's how Google I think is looking at this. You guys are super excited about it. So one would presume then that that eighty percent on Prem is gonna just gonna really start to move. What your thoughts on that? >> I think the way to think about it is all the customs you talked to actually do want to move there were close to cloud. That's not really the discussion point anymore. It's more about reasons they can't, which could be. They already have a data center. They fully paid for two. There's regulatory issues they have to get resolved to. This workload is too messy. They don't want to touch it at all. The people that wrote it are here anymore. There's all kinds of reasons and so it's gone. I feel like the essence of it is let's just interacted the customer right now before they make a decision about their cloud on DH, help them and in exchange for that, I believe we have a much better chance to be their future clown, right? Right, Because we're helping them. But also, they're starting to use frameworks that were really good at all. Right, if they're betting on coordinates containers, I like our chances for winning their business down the road. >> You're earning their trust by providing those those capabilities. >> That's really the difference. We can interact with those eighty percent of workloads right now and make them better. >> Alright. So, Eric, with you, the term we've heard a bunch this meat, we because we're listening customers where we're meeting them where they are now. David Iran analyst. So we could tell customers they suck out a lot stuff. You should listen to Google. They're really smart, and they know how to do these things, right? Hopes up. Tell us some of those gaps there is to the learnings you've had. And we understand. You know, migrations and modernization is a really challenging thing, you know? What are some of those things that customers can do toe >> that's on the the basic issues. I would say one thing you get you noticed when using geeky, is that huh? The os has been passed for me magically. All right, We had these huge security issues in the past year, and no one on G had to do anything right. They didn't restart their servers. We didn't tell them. Oh, you get down time because we have to deal with these massive security tax All that was magically handled. Uh, then you say, Oh, I want to upgrade Cooper Netease. Well, you could do that yourself. Guess what? It's not that easy to do. Who Burnett is is a beast, and it's changing quickly every quarter. That's good in terms of velocity and trajectory, and it's the reason that so many people can participate at the same time. If you're a group trying to run communities on Prem, it's not that easy to do right, So there's a lot of benefit Justin saying We update Custer's all the time. Wear experts at this way will update your clusters, including the S and the Cuban A's version, and we can give you modern ing data and tell you how your clusters doing. Just stuff. It honestly is not core to these customers, right? They want to focus on there advertising campaign or their Their oil and gas were close. They don't want to focus on cluster management. So that's really the second thing >> they got that operating model. If I do Antos in my own data center of the same kind of environment, how do we deal with things like, Well, I need to worry about change management testing at all my other pieces Most of the >> way. The general answer to that is, you use many clusters. You could have a thousand clusters on time. If you want that, there's good reason to do that. But one reason is, well, upgrade the clusters individually so you could say, Let's make this cluster a test cluster We'LL upgrade it first and we'LL tell you what broke. If anything, if you give us tests we can run the test on then once we're comfortable that the upgrade is working, we'LL roll it out to all your clusters. Automatic thing with policy changes. You want to change your quota management or access control. We can roll up that change in a progressive way so that we do it first on clusters that are not so critical. >> So I gotta ask a question. You software guy, Uh and you're approaching this problem from a real software perspective. There are no box. I don't see a box on DH there. Three examples in the marketplace as your stack er, Oracle Clouded customer and Amazon Outpost Where there's a box. A box from Google. Pure software. Why no box? Do you need a box? The box Guys say you gotta have that. You have a box? Yes, you don't have a box, >> There's it's more like I would say, You don't have to have a box >> that's ever box. Okay, that's >> because again all these customers sorting the data center because they already have the hardware, right. If they're going to buy new hardware, they might as well move to cloud the police for some of the customers. And it turns out we can run on. Most of their hardware were leveraging VM wear for that with the partnership we announced here. So that's generally works. But that being said, we also now partnerships with Dell and others about if you want a box Cisco, Dell, HP. You can Actually, we'LL have offerings that way as well, and there's certainly good reason to do that. You can get up that infrastructure will know it works well. It's been tested, but the bottom line is, uh, we're going to do both models. >> Yeah, okay. So I could get a full stack from hardware through software. Yet through the partnerships on there's Your stack, >> Right And it'll always come from Partners were really working with a partner model for a lot of these things because we honestly don't have enough people to do all the things we would like to do with these customers. >> And how important is it that that on Prem Stack is identical from homogeneous with what's in the public cloud? Is it really? It sounds like you're cooking growing, but their philosophies well, the software components have to be >> really at least the core pieces to be the same, like Uber Netease studio on a policy management. If youse open source things like my sequel or Kafka or elastic, those auto operate the same way as well, right? So that when you're in different environments, you really kind of get the feeling of one environment one stroll plane used. Now that being said, if you want to use a special feature like I want to use big query that's only available on Google Cloud right, you can call it but that stuff won't be portable. Likewise is something you want to use on Amazon. You can use it, and that part will be portable. But at least you'LL get the most. Your infrastructure will be consistent across the platforms. >> How should we think about the future? You guys, I mean, just without giving away, you know, confidential information, obviously not going to do that, but just philosophically, Were you going when you talk to customers? What should their mindset be? How should they repeat preparing for the future? >> Well, I think it's a few bets were making. So you know, we're happy to work on kind of traditional cloud things with Bush machines and discs and lots of classic stuff that's still important. It's still needed. But I would say a few things that are interesting that we're pushing on pretty hard won in general. This move to a higher level stack about containers and AP eyes and services, and that's Cuba nowadays and SDO and its genre. But then the other thing I think interesting is we're making a pretty fundamental bit on open source, and it's a it's a deeper bad, then others air making right with partnerships with open source companies where they're helping us build the manage version of there of their product on. So I think that's that's really going to lead to the best experience for each of those packages, because the people that developed that package are working on it right, and we will share revenue with them. So it's it's, uh, Cooper. What is open source? Tension flows open. Source. This is kind of the way we're going to approach this thing, especially for a hybrid and mostly cloud where they're really in my mind is no other way to do multi cloud other than open source because it's the space is too fast moving. You're not going to say, Oh, here's a standard FBI for multi cloud because whatever a pair you define is going to be obsolete in a quarter or two, right? What we're saying is, the standard is not particular standard per se. It's the collection of open source software that evolves together, and that's how you get consistency across the environment is because the code is the same and in fact there is a standard. But we don't even know what it is exactly right. It's it's implicit in the code, >> Okay, but so any other competitors say, Okay, we love open source, too, will embrace open stores. What's different about Google's philosophy? >> Well, first of all, you could just look at a very high level of contribution back into the open source packages, not just the ones that were doing. You can see we've contributed things like the community's trademark so that that means it's actually not a Google thing anymore. Belonged to the proud Native Reading Foundation. But also, the way we're trying to partner with open source projects is really to give them a path to revenue. All right, give them a long term future on DH. Expectation is, that makes the products better. And it also means that, uh, we're implicitly preferred partner because we're the ones helping them. All >> right, Eric, One of things caught our attention this week really kind of extending containers with things like cloud code and cloud run. You speak a little bit to that and you know directionally where that's going, >> Yeah, crowd runs one of my favorite releases of this week. Both the one God code is great, also, especially, it's V s code integration which is really nice for developers. But I would say the cloud run kind of says we can take you know, any container that has a kind of a stateless thing inside and http interface and make it something we can run for you in a very clean way. What I mean by that is you pay per call and in particular Well, listen twenty four seven and case it call comes But if no call comes, we're going to charge you zero, right? So we'll eat the cost of listening for your package to arrive. But if a packet arrives for you, we will magically make sure you're there in time to execute it on. If you get a ton of connections, we'll scale you up. We could have a thousand servers running your cloud run containers. And so what you get is a very easy deployment model That is a generalization. Frankly, of functions, you can run a function, but you also run not only a container with kind of a managed run time ap engine style, but also any arbitrary container with your own custom python and image processing libraries. Whatever you want, >> here are our last guest at Google Cloud next twenty nineteen. So thank you. And so put a bow on the show this year. Obviously got the bigger, better shiny er Mosconi Center. It's awesome. Definitely bigger crowd. You see the growth here, but but tie a bow. Tell us what you think. Take us home. >> I have to say it's been really gratifying to see the reception that anthrax is getting. I do think it is a big shift for Google and a big shift for the industry. And, uh, you know, we actually have people using it, so I kind of feel like we're at the starting line of this change. But I feel like it's it's really resonated well this week, and it's been great to watch the reaction. >> Everybody wants their infrastructure to be like Google's. This is one of the people who made it happen. Eric, Thanks very much for coming in the Cube. Appreciate. Pleasure. All right, keep right, everybody. We'Ll be back to wrap up Google Cloud next twenty nineteen. My name is David. Dante. Student meant John Furry will be back on set. You're watching. The cube will be right back

>> Live from San Francisco, it's theCUBE. Covering Google Cloud Next 19. Brought to you by Google Cloud and its eco system partners. >> Hello everyone welcome back here to theCUBE live coverage here in San Francisco, California. We're in the Moscone Center on the ground floor here. Day three of three days of coverage for Google Cloud Next 2019. I'm John Furrier, my co-host, Dave Vellante, Stew Miniman out there getting stories out there He's also been hosting. Dave, great to see you! Evren, Director of Product Management at Google Cloud, doing all the data streaming the data. We're streaming data right now. >> Absolutely, this is it. This is it. >> So let's stream some data. So streaming data has certainly been around for awhile. Dave and I when we first started theCUBE ten years ago, it was part of Silk and Angle Media hadoop was just a small little project. That really kind of was the catalyst moment for around big data that's now evolved to it's own position. Now you have streaming data, you have cloud scale, the Cloud has really changed the game on big data. Changed the nature and dynamics of it and one of the things is streaming data, streaming analytics as a core value proposition for enterprises, and this is fairly new. >> Very true. >> What's your take on it and how does it relate to what's going on with Google Cloud? >> I am glad we're talking about that. This is an exciting time for us. Streaming like you said is growing. Batch is not going away, but streaming is actually overtaking a lot of the applications that we're seeing. Today we're seeing more streaming applications taking place than batch. One of the things that we're seeing is everybody is gathering data from all over the place from your websites, from your mobile phones, from your IoT devices, just like we're doing right now. There's data coming in and people want to make decisions real time whether it's in the banking industry, in your healthcare, retail, it doesn't matter which word cycle you're working with and we're seeing how those messages how those events are coming in and where the decisions are being made real time, milliseconds we're talking about. >> Why is it happening, what's the real catalyst here? Just tsunami of data, nature of the value, all of the above, what's the? >> We believe one of the things is like you mentioned Cloud really changed the game. Where people actually can reach globally data and messages at scale. We're talking about billions of messages coming in and processing capacity is available now we can actually process it and make a decision within milliseconds and get to the results. To me, that was the biggest catalyst. And we're seeing many of us have grown up using batch data, making decisions now everybody is talking about M.L. and A.I. You need that data coming in real time and we can actual process it and make the decision. To me, that's the catalyst. >> First of all we love streaming data, this topic. One we believe streaming where shooting video but data, real time, has been one of the keys you see self driving cars monging of data, mixing and matching of data to get better signal and better machine learning and I got to ask you, because batch is certainly the role for batch is kind of old school it's some old techniques it's been around for awhile, >> It's not going to go away though. >> It's not going to go away it's established it's place but the knee jerk reaction of existing old school people who haven't migrated to the new modern version they go to the batch kind of mind set. I want to get you're reaction. Data lakes, there's nothing flowing in a lake. Okay, so there is a role for a data lake streaming gives me the impression of like an ocean or a river or something moving fast. Talk about the differences because it's not just the data lake okay that's a batch kind of reaction. >> It is a complementary. Actually it's not going away because all of that data that we had in the back is something we're relying on to really augment and see what's changing. So if you're in a retail house you're buying something, you're going to make a decision and your support is actually behind it. OK here's Evren, he's actually shopping around this and he wants this for his son. That's what the models built around it is looking at what is my behavior and in the moment making a decision for me. So that's not going away. The other thing is batch users are able to take advantage of the technology today. If you look at our data flow, same set of codes, same set of capability can be used by the same folks that are used to batch. You don't have to change anything so that actually we help folks to be up skilled using the same set of tools and become much more experienced and experts in the streaming too. That's not going away we help both of the worlds. >> So, complementary. >> Very complementary. >> So data lakes are good for kind of setting the table if you have to store it somewhere but that's not the end game though. >> No. >> Okay. >> I wonder if we could talk about the evolution from batch to real time streaming. And my favorite example, because I think people can relate to it, is fraud detection. Ten years ago, it was up to the user to go through his or her bill, right? And then you started to get inundated with false positives, and now lately, last couple of years it's getting better and better. Fewer false positives, usually when you usually no news is good news. News is usually bad news now, so take that example and use that to describe how things have evolved. >> I am a student of AI I did my Master's and PhD in that and I went through that change in my career because we had to collect the data, batch it and analyze it, and actually make a decision about it and we had a lot of false positives and in some cases some negative misses too which you don't want that either. And what happened is our modeling capabilities became much better. With this rich data, and you actually tap into that data lake, you can go in there the data is there, and this is spread data we can pull in data from different sources and actually remove the outliers and make our decision real time right there. We didn't have the processing capability we didn't have a place like PostUp where globic can scan and bring in data at hundreds of gigabytes of data. That's messaging you want to deal with at scale no matter where it is and process that, that wasn't available for us. Now it's available it's like a candy shelf for technologists, all the technology is in our hands and we wanted all these things. >> You were talking about I think the simplicity of, I'm able to use my batch processes and apply them. One of the complaints I hear from developers sometimes is that the data pipeline is getting so complicated. You were talking about you're grabbing stuff from websites, from financial databases, and so depending on what data store you're using and what streaming tools you're using or other A.I. tools, the pipeline gets very complicated the A.P.Is start to get complicated but I'm hearing a story of simplicity. Can you elaborate on that and add some color? >> Yeah I'm glad you're asking that question you may have heard, yesterday we announced a whole bunch of new things and ease of use is the top of the line for us. Really are trying to make it easy. If you look at this eco pipeline we're building with data flow, it helps you end to end. Data engineered no matter which angle their coming in should be able to use their known skill sets and be able to build their pipelines end to end so that you can achieve your goals around streaming. We aren't really having to go through a lot of the clusters of the pipelines we are going to continue to push that ease of use over and over, we're not going to let it go because make it easier, everyone will adapt it faster. >> You mentioned you got a PhD in A.I., Master's in A.I., A.I. has been around for awhile. A lot of people have been saying that but machine learning certainly has changed the game. Machine learning plus cloud has been a real accelerant in the academic and now commercial aspects of A.I. So I want to get your thoughts on the notion of scale which you talk about, plus the diversity of data. So if you can bring in data at scale get more signaling points more access to data signaling the diversity of data becomes very key. But cleanliness, data cleaning, used to be an old practice of you get a bunch of data, stack it up, put it in a pile corpus, and you kind of go clean it. With streaming, if it's always flowing there's kind of a behavioral characteristic of data cleanliness, data monitoring, talk about that diversity of data clean data and how that feeds machine learning and makes better A.I. >> Good one, so that's where we actually are able to, if you look at PostUp, you're building joint your table set of datas with streaming set of datas you can actually put it into data filter it and make those analyses. And within both, we provide enough of a window for you to be able to go back, hey are there things that I should be looking at, up to seven days we can provide a snapshot because you will always find something you can go back, you know what I'm going to remove this outlier. All worrying about all the processing we do before we bring in the data so there's a lot of cleanliness that takes place but we have the built in tools we have the built in capabilities for everyone to get going. It's ready to scale for you from the moment you open it up. That's the beauty of it, that's the beauty of when you start from PostUp to data flow to streaming engine it's ready for you to run. >> Talk about what's changed though when people hear diversity of data they get scared, oh my god I work, heavy lifting. Now it's a benefit. What's easier now to deal with all of these diverse data sets, what's the easy revolution? >> So do you remember the big V's of big data right? Volume, velocity, variety. People were scared about the variety. Now I can actually bring in my data from different places. Again, let's go back to the shopping example. Where I shop, what I shop for, that actually defines my behavior around it. Those data sit somewhere else. We bring those in to make a decision about okay everyone wants to go buy a scooter or whatever else, that's the diversity of the data. We're now able to deal to with this at scale. That was not available we could actually bring in and render this, now everything is going to do this much more sequential. We're now able to bring all of them together process it at the same time and make the decision. >> What's the key products that will make all of those happen, take us through the portfolio if I want that would you just said which is a great value. It sounds like not a heavy lift all I have to do is point the data sources into this engine, what are the products that make up that capability? >> So if I look at the overall portfolio on Google Cloud from our data analysts point of view, so you actually can bring in your data through PostUp, lots of messaging capability globally and you can actually do it regionally because we have a lot of regional requirements coming from various countries and data flow is where we actually transfer the data. That's where you do the processing. And you use all of these advance analytics capabilities through your streaming engine that we released and you have your B query, you have your OMLs, you have all kinds of things that you can bring in you're big tables and what have you. That's all easily integrated end to end for any analyst to be able to use. >> What is beam? >> Beam ah that's great I'm so glad you asked that question I almost forgot! Beam is one of our open sources we donated the same set, just like we did with Koppernes few years ago, we donated to the open source it's growing. This year actually it won The Technology Awards. So the source is open the community really took it upon, they use that toolkit to build their pipelines you can use any kind of a code that you want Java, Gold, whatever you want to do it and they contribute. We use it internally and externally. It's one of those things that's going to grow. We have a lot of community events coming up this year. We might, and I've seen the increase, I'm really really proud of that community. >> Evren, I love the A.I. can't get my mind off your background and academic because I studied A.I. as well in the 80s and 90s all that good stuff. Young kids are flocking to computer science now because A.I. is very sexy, it's very intoxicating and it's so easy to deal with now. You guys had a hack-a-thon here with NCAA using data really kind of real time and kind of cool things are happening. So it's a moment now for A.I. this is the moment. What's your advice, you've been through the wars you've done your chore duty all those years now it's actually happening. What's your advice for young people who want to come in, get their hands dirty, build things, use A.I., what's your advice, how they should tackle that? >> I am living it, both of my sons one is finishing junior high, the other one is a senior in high school, their both in it. So when I hear my young kids come and say, "hey bubba we just built this using transfer flow." Like it is making me really proud. At the middle school level they were doing it. So the good news is we have all of this publicly available data for them. I encourage every one of them. If you look at what we provide from Google Cloud, you come in there, we have the data for them, we have the tools for them, it's all ready for them to play so schools get free access to it too. >> It's a major culture but how do they get someone who's interested but never coded before, how do they jump right in and get ingratiated and immersed into the code, what do they do? >> We have some community reaches that we're actually doing as Google. We go out to them and we're actually establishing centers to really build community events for them to really learn some new skills. And we're making this easy for them. And I'm happy to hear more and do it, but I'm an advocate I go to middle schools, I go to high schools, I go to colleges. Colleges are a different story. We provide school classes and we provide our technologies at the universities because enterprises need that talent, need that skill, when they graduate, their going to hire them just like I'm going to hire them into my organization. >> So my number one complaint my kids have about school, they're talking about kids that, oh school's going to be a waste it's so linear I can learn everything on YouTube and Google.com. All the stuff I learned in school I'm never going to use in the real world. So the question is, what skill should kids learn that could be applied to machine learning, thinking, the kind of constructs, data structures, or methodologies, what are some of the skills and classes that can tease out and be natural lead into computer science and machine learning A.I.? >> You know, actually their going to build up the skills. The languages will evolve and so forth. As long as they have that inner curiosity asking new questions, how can I find the answer a little faster, that will push them towards different sets of tools, different sets of areas. If you go to Berkeley in here, you will see a whole bunch of high school kids working side by side with graduate students asking those questions, developing those skill sets, but it's all coming down to their curiosity. >> And I think that applies for business too. I mean there's a big gap between the A.I. haves and have-nots I always say. And the good news here that my take away is, you're going to buy A.I, you're going to buy it from people like Google and you're going to build it and apply it, you're going to spend time applying it, and that's how these incumbents can close the gap and that's the good news here. >> Very true if you look at it, look at all the A.P.Is that we have. From text recognition to image recognition to whatever it is, those are all built models and I've seen some customers build some fantastic applications starting from there and they use their own data, bring it in, they update their model for their own businesses cases. >> It's composition it's composing. It's not coding it's composing. >> Exactly, it's composing. We are taking it to the next level. That abstraction is going to actually help others come into the field because they know their field of expertise, they can ask direct questions. You and I may not know it but, they will ask direct questions. And they will go with the tools available for them for the curiosity that they reach. >> Okay what's the coolest thing you're working on right now? >> Coolest thing, I just y'know streaming is my baby. We are working on, I want to solve all the streaming challenges, whatever the industry is. I really want to welcome everyone, bring you to us. I think, if I look at it, one of the things we discussed today was Antos was fantastic right? I mean we're really going to change the game for all enterprises to be able to provide those capabilities at the infrastructure. But imagine what we can do with all the data analytics capabilities we have on top of it. I think this is the next five years is going to be fantastic for us. >> What's the coolest use case thing you see emerging out of streaming? >> Ah you know, yesterday I actually had one of my clients with me onstage, AB Tasty. They had a fantastic capability that they built. They tried everything. And we were not their first choice, I'll be very open. They said the same thing to everybody, you guys were not our first choice. They went around, they looked at all the tool kits, everything. They came they used PostUp, they used data flow, they used engine, streaming engine. And they AB testing for marketing. And they do that at scale, billions of messages every minute, and they do it within seconds, milliseconds, 32 milliseconds at most. Because they have to make the decision. That was awesome, go check. I don't know if you're familiar with that. One of our customers, they provide these real time delivery. In India, imagine where things are. In global leaders, you can actually ask for a food to be delivered and they have to optimize, depending on what the traffic is and go with their scooters, and provide you this delivery. They aren't doing it as well. Okato, they believe, provide food in UK 70% of the population use our technologies for real time delivery. Those are some great examples. >> Evren, great insight, great to have you on. Just a final word here, next couple years, how do you see the trajectory of machine learning A.I. Analytics feeding into the value of making life easier society better, and businesses more productive? >> We are seeing really good pull from enterprises from every archival that you can think of. Regulated, retail, what have you. And we're going to solve some really hard problems whether it's in health care industry, financial industry, retail industry, we're going to make lives of people much easier. And their going to benefit from it at scale. And I believe we're just scratching the tip of it and you're seeing this energy in here. Year over year this has gotten better and better. I can't wait to see what's going to happen next year. >> Evren Eryurek great energy, expert at A.Is, streaming analytics, again this is early days of a brand new shift that's happening. You get on the right side of history it's A.I. machine learning, streaming analysts. Thanks for coming, I appreciate it. >> Thank you so much, take care guys. >> More live coverage here in theCUBE in San Francisco at Google next Cloud 2019. We'll be back after this short break.

>> Live from San Francisco, it's the Cube. Covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Okay, welcome back everyone. We're here live in San Francisco on the ground floor here. Day 3 of Three Days of Wall to Wall Coverage, Cube coverage of Google Cloud Next 2019. I'm John Furman, co host Steve Alante. Steve looking good here. >> Thank you, John. I'm feeling good! >> Day three we're getting energy. Our next guest, Ulku Rowe, who is the technical director for financial services for Google Cloud. Thanks for joining us! >> Well thanks for having me, good to be here today. >> So, obviously all the verticals, the big theme here is that all the industries have opportunities with Anthos and all the data driven activities and open source greatness. But financial services is always kind of an early tell-sign. All the trends kind of happen in financial services because the data, whether its algorithmic trading or whatever, is clearly a competitive advantage. From fraud detection to competitive advantage revenue, big driver. That's your sweet spot. What's going on there? What's the signals from the marketplace? How is Google Cloud Next here impacted fina-- What's the big news? What's the big stories? >> It's a very exciting time in financial services. You know Google Cloud is enabling financial services customers across the globe, across all the sub-sectors. Whether you are in retail bank, in capital markets, or asset manager, or a hedge fund, insurance, FinTax. Cloud is enabling all of our customers to transform their businesses to reduce their cost, and to create better and new products. And it is very exciting for them. They're using our, you know, our data platforms to be able to look at the data that they have and understand their customers better to be able to create better experiences for them. Whether it's through chat box, or our contact centers, or better online experiences. They are able to provide more customized products for them. Especially on the trading site, on the retail banks and hedge funds, they're using our high performance compute environments, that our HPC offerings to be able to create better risk management systems to look at their portfolios and understands the risk. Whether it's a credit risk or a market risk, or fraud, or if they use it for anti-money laundering. We're seeing customers in the insurance space to create personalized products, they are streamlining their actual aerial processes. FinTex, obviously are using, you know they're Cloud native. It's very exciting for them to have this opportunity to challenge the big players. >> Don't forget blockchain. It's coming right around the corner, too. So you're a technical director. What does that mean? What is your job? What's your focus? >> It's a number of things. I sit mostly on the engineering side of the house to make sure that our product offering works for financial services. And it includes things like making sure our security offerings, or our compliance works, our data platforms, our computational platforms, higher level services, they do what financial services customers need them to do. I also have the privilege of spending a lot of time with our clients across the globe. And I get a view into what they're thinking about, how Cloud is changing their businesses. >> So we spend a lot of time in New York and 10 years ago when we started the Cube, when you talked to financial services company there were two narratives. One was "Cloud is evil, we're never going to go to Cloud." And the other was "Well we have global scale, "we're going to build on our own Cloud". A couple things have happened, as you know. They're obviously, going hard into Cloud. But they are building their own global Clouds, they're just building it on top of your Cloud. So, talk about that change, and what are some of the big trends that you're seeing today in terms of their adoption? >> Yeah, that has changed quite a bit, the narrative. You know it used to be that "We're never going there" to "Well, maybe we'll go there". And now it's, "How quickly can we get there". And customers are now using, now they're seeing the Cloud as a place to innovate and actually change their businesses. Initially they started maybe as a cost-play because they had big legacy platforms and Cloud came in and the ability to be able to reduce that cost-space especially under the competitive pressures they're in. It initially started with a cost-play. But then it very quickly turned into "This is now my innovation play". "This is how I can change my business. This is how I can stay competitive. This is actually how I can up level my security and compliance". So, it has become very much a partnership between us and our customers to actually think about how the future in financial services is going to be. >> Again, we've been in New York a lot. Back in my (mumbles) late 80s early 90s, I covered a lot, sold and did some system engineering with all the banks, all the financial institutions and other in New York. They're good customers but also they're tough customers. They buy a lot, early adopters on everything new, but they're tough customers. They're very demanding because the stakes are high, money. >> I used to be one of those customers. >> Also risk management. So, they're pushing the envelope, with the RND, buying early. They have stringent demands in terms of performance, also risk and security all kind of come together. So how does that boil into today? What are they looking at? What tires are they kicking here at Google Cloud? What are some of their tough questions and requirements? And obviously security has got to be big then. Your thoughts. >> Exactly. I think financial services is a business of trust. So usually the conversation starts there. And trust is established through security and compliance and privacy and transparency. And that happens to be one of our differentiators. Our security offering actually allows them to create a product for them that is actually even more secure than our on premise settings. The second thing is Hybrid and Multi-Cloud. Especially if you are a financial services institution that's been around a while. You're carrying a lot of legacy. You've got a lot of technical debt. You want to be able to also have flexibility to be able to run your workloads wherever you want. So, Anthos, if I were to pick a word that dominated the conversations with our financial services customers over the last couple of days, it has been Anthos, our Multi Hybrid Cloud solution. The ability to run workloads on-premise, on Google Cloud and on other Clouds at the same time and have that flexibility to be able to choose where to put your workloads depending on your needs has been very exciting for them. >> What specific questions were they asking? Were there certain technical attributes of Anthos that was interesting to them? What was some of that, when they started to look under the hood, what are the conversations like there? >> Well I think the most commonly asked question is how soon can we start? >> So there's demand. >> There is definitely demand. There is definitely demand and excitement. And for the reasons that I've just laid out, to give them the flexibility that they want and the reality that the Prem set up is going to live for a while. So for them to be able to manage this across a single pane, no matter where their workloads are working, it's a big interesting proposition. >> I want to get your reactions on that. We've been doing a lot of customer digging into the requirements around on Prem, Hybrid, Multi-Cloud, and Pure Cloud, and there's a debate around cloud selection. And I was going to read a quote from one of my article that I'm writing right now. I won't say the customer name, we are currently over 500 existing planned cloud efforts across the company, and we're going to support. We've got thousands of networks, data centers, and more than 500 cloud efforts with lead industry leaders. But we want to manage it individually. So, the trend is hey I got a workload. This workload look works great on "X" cloud. This workload works great on "Y" cloud. This workload works great on this other cloud. So (mumbles) we multi-cloud. The workloads are dictating cloud selection. And they still want to manage themselves. So a little bit of control-freak action going on there. But also flexibility on cloud selection. So it's not a one cloud rules the world but, if the one cloud (mumbles) serve the workload. The workloads are driving it. Do you agree with that, are you seeing the same thing? Yeah, I think what's important to financial services clients is to be able to have skill and reliability. And they've started on this journey first with standardization and that standardization was offered by (rambles) containerization. So they already started taking their legacy workloads and started containerizing them so that they can actually now put them no matter where they want. And now, on top of that (rambles) and containerization availability, the services that Anthol springs, observability and security and a single control plane, is now, I think, an extension of the desire for standardization. Which brings the security and reliability across the board. >> Sounds like an operating system to me. Cloud operating system maybe? >> It is, yes. >> We talk about an operating-- >> Yes, yes. >> (rambling) clouds, its operating (rambling) clouds. >> No, it used to be Unix was the operating system, Anthos is the operating system of the Cloud. >> What's the disruption conversation like? Cause banking really hasn't been highly disrupted, but I've certainly heard CIO's in the banking world ask the question, "Well, do banks need physical bags?" and "We're becoming "a software company". But the industry itself hasn't been highly disrupted. The leaders are still really strong, lots of disruption scenarios but, is there a paranoia? Is there, they're obviously aggressive people, are they getting out ahead of the disruption? What's that like? >> Financial services is an industry that's been slow to move to the Cloud in many ways cause it is a very heavily regulated industry, it's got a lot of legacy. But disruption happened, right? FinTex have started happening everywhere. It's a reality of today. I don't think it's whether disruption is going to come, it's here. And I think it's actually creating a very healthy environment in the financial services sector because initially I think that financial services firms were saying, "Wait a minute, I need to "stay competitive." Then it turned into, "Wait a minute, maybe we can be collaborative." So now we're seeing the big players collaborating more and more for FinTex, and now we're seeing a lot more open systems where we've got open banking, open API's, where we're seeing a very healthy ecosystem being created in financial services. >> So I was going to ask you, do you think traditional banks will lose control of the payment systems, or do you feel like this new mindset is going to allow them to maintain their hold on that? >> I don't have a crystal ball, but I think it's going to be more of a collaboration. I think there's going to be more players, I think there's going to be healthy competition and also healthy collaboration across board. >> You mentioned blockchain before. We've had Nick Cucuru from Mastercard on many times. He's talked about their blockchain initiatives. But the other thing that's interesting is, they're actually, as they said, becoming a software company, providing services and becoming more marketing oriented, not just to consumers, but to other businesses. It's fascinating changes. >> One thing that I wanted to ask you is that you mentioned earlier ecosystems open, more collaborative, which we agree. We see that a hundred percent as well. But the interesting dynamic of these big financial institutions is they've had a huge build-out on data centers over the years. Just go back a couple decades, all they've been is gearing up and building out. And now in comes the Cloud, they're not going to just let that on-prem go away, I get that. But now you got new white spaces emerging with Cloud. What Cloud is operating in is not so much knock the big guys off their perch, it's more of white space opportunities for point solutions that could be funded and grow by just being creative. Whether its slinging API's together, or using glue layer software, or some sort of connective tissue around data. >> Yes. >> How does that evolve? Cause New York's got a new renaissance around its entrepreneur ecosystem. >> Yes, New York's becoming the next home of FinTex. >> What are these white space opportunities? Do you see that either service providers, either global service providers, or ecosystem partners could take advantage of. Cause white space is where the opportunities are that's where the ecosystem will develop. Your thoughts? >> So I think you're absolutely right. I think as financial services providers are using Cloud to be able to bring their cost down and handle their legacy, now they have more resources than they can use to create new products, new solutions, new opportunities to be able to reach maybe different kinds of clients that they haven't considered in the past or weren't able to address. Because I think it's all about using their data. Whether its data about their customers to be able to create new products for those customers. Or using market data, I mentioned market data, cause financial services has always been a very data heavy industry looking at the market data to create new trading opportunities, to create new portfolios to understand how the market behaves. What are the correlation differences between different instruments. All of those capabilities, now they can build on Google Cloud with our Cloud partners as well. >> I want to get your thoughts on (rambles) an interview with Apache earlier. Mitt Zavy came on, he's new to the company, only a couple months in, but clearly Apache is going to be a real interesting opportunity because API marketplace is going to evolve from just connecting API (rambles), it'll be much more programmable. This is going to be a big part of it. How do you see that playing into your role, because you're brokering API's now, you're adding more codability to it. Coding API's is now the next level up. What's your thoughts on that? >> Exactly, API is becoming the connective tissue between all the players and the financial services market. I mean, that's how you create the ecosystem. You need a language to talk to each other. And the API's are the ones that are creating that language. And I think it's helping in two ways. One, it is creating this universal language for the providers, and the consumers, and the different players to talk to each other. It is also enabling financial institutions now to expose some of their Legacy systems without having to completely re-engineer them. But to put a veneer on it, containerize them, put an API layer on them so that they can actually be agile in this new world without having to rewrite everything. >> And the business model opportunities or having new business models are emerging from this. We saw AccuWeather came on, was talking about this. This is potentially a money-making opportunity. >> Absolutely. Absolutely. >> We're not just (mumbling) partners. >> Yeah, that's exactly what I mean. >> What are some of the harder technical problems that maybe ten years ago were unsolvable that you've helped customers solve, or that Google is in a best position to solve that you're working on? >> When you think about Google's differentiators one of the places is data analytics NAI. As we talked about it, financial services is a very data heavy business, but unfortunately the data had been sitting in different silos for a very, very long time. And Google's data analytics tools to be able to take all of that data, put it together, and then put that data in front of business people that doesn't necessarily have to have a computer science degree. And to be able to get insights from that data is creating a massive shift in the market. And of course the next stage from that is using our AI and email capabilities to create new insights from that data. At Google we've been using ML and machine learning and I've been embedding them into our products for a very long time. And now our focus is to be able to make it as easy for our customers to do the same in their systems. Everything from how you source that data, how you process that data, and then how do you build the models, how do you train them, how do you execute them and how do you create control over those models? And those are the places that are very attractive to financial services because as you've rightly said, it is a data business and it's important to the core of their business. >> One of the things I want to get your thoughts on. This may or may not be in your wheelhouse, but given your experience I think you might have a comment on this because technology's a big part of the shift. Culture is a big part of the shift. In terms of either mindset, whether its not an age thing, it's more of a mindset thing. But one of the things we're seeing from customers telling us that slowing down adoption on the innovation curve is procurement, and that a lot of these companies have 1995 procurement rules. That's client server, that was before the web started. So procurement, how do you procure a modern Apache API marketplace programmability (rambles) infrastructure's code completely different application renaissance is happening. So you got modern application, multi-cloud, hyper-cloud. There's no rules on procurement. There's no, "Well, split the deal amongst three vendors." You can't do that anymore. Google's great for this Cloud, why even look another cloud, or Amazon. Or Amazon for this, Google for that. So procurement has lagged. >> Yes. >> And so does that get in the way? Do you (rambles) into that? Just generally, what's your comment? How does your procurement evolve? >> I think especially in financial services like procurement takes a long time. In some cases rightly so because you got to make sure you have the right security, you got the right processing in place. But I think it's probably time for us to modernize our procurement processes as well. >> Make it faster. I mean, a lot of the times its on the customer too, not just you guys. Self-services changed the game, certainly. But even just the procurement rules. Well, we're running out of time. Thanks for coming out, I appreciate the insights. >> Great interview. >> Final question. What is the biggest learnings of the past couple of years, now you're starting to see complete visibility into programmability networking layer. Now you get (rambling) service, (rambling) right around the corner. What's the big revelation in your mind of where we are? >> Well, I think, especially for financial services, we've been on this journey for a while. I think the conversation has shifted, I think that was the very first question that you have asked. And I think we are now at the place where it's no longer just experimentation or just doing proof release systems. We now have the customers that are doing mission critical, global systems on Google Cloud. HSBC has been on us with the stage, Scotia Bank, (mumbles), some of the biggest customers. So what have we learned from that experience? I think one, you got to start. You got to start getting your hands dirty. Because it is a different paradigm and it does take a while to learn that. And it is not just a technical paradigm shift, it is a cultural paradigm shift. If you don't start early, its going to take you a while to bring the entire organization with you. Start the technology early, start the cultural transformation early as well. >> Ulku, thank you for come sharing the insights. Congratulations, good work. Financial service, it's a tough business. You guys do a good job, thanks. >> Thank you very much, thanks for having me. >> Live Cube Coach here in San Francisco. I'm John Furrier with Dave Vellante. Stay tuned for more live coverage after the short break. Day three, of Three Days of Wall to Wall Coverage here on The Cube in San Francisco, stay with us.

>> Live from San Francisco, it's theCUBE, covering Google Cloud Next '19. Brought you you by Google Cloud and its ecosystem partners. >> Welcome back to theCUBE coverage here live in San Francisco for Google Cloud Next 2019, I'm John Furrier, my co-host Dave Vellante is also here, doing interviews out, getting stories and reporting them. Got two great guests Pravin Pillai who's the Global Head of Industry Solutions for Retail at Google Cloud and Rickard Söderberg who is the Digital Workspace Manager at GANT, thanks for coming on theCUBE apreciate it! >> Thank you for having us. >> So we have been talking about, talk about security you know the devices now can have a key inside the Android device. We're a big G Suite user, productivity's really important but the IT world has changed, so how is that all coming together what's the big story? >> Retail's an incredibly important sector for us and G Suite is a very important product suite for retailers we're seeing a lot of adoption of G Suite from different kinds of retailers around the world, they're coming to us to solve some very specific challenges they face, they want to reduce or eliminate the information silos they have in their organization, they want to be able to foster an improved communication and collaboration within the organization, and they want to get rid innovation processes they have in the organization so, we're very excited to see the adoption that we have with retailers coming onto G Suite. >> And the retail obviously there's a lot of dynamics going, it's very data driven, huge opportunity. What's your story, what's your relationship with Google? You guys a customer, what's your implementation? >> Well we have been using G Suite for quite some time, we have been using it since 2010 I think, from the beginning it was more of a consumer product back then when we started using it. Today it's really enterprise friendly and we can use it in all aspects of our business, especially out to retail as well. >> It's interesting to see how the cloud is kind of changing shape of G Suite like there's the connected sheets it's interesting you now have big query on the back end, turn that basic interface into a full on global scale data warehouse, this is kind of the story here this week, is to get more power to the edge, whether it's retail or, and not compromise any of the productivity suite. >> Absolutely, there's so much data in the retail organization today and with G Suite we're able to bring access to that data and insights right down to every single worker within the organization, whether they're in the headquarters or whether they're in the store. For example a store associate now has access to insights about the consumer that they can use to proactively service that consumer a lot better than they could have in the past, and that's where G Suite is starting to shine now for retailers. >> So retail obviously is an industry with a heavy disruption scenario. You mentioned some of the challenges, data silos and you want to put data at the heart of your organization so how are you competing in retail today, specifically at GANT and then how is Google helping you transform and be the disruptor verses the disruptee. >> Well one of the things that works well for us is just the speed at which we can set up new markets because we use as much cloud as we do, so we can set up a new market in minimum time just by, they only need internet access and that's it, so it gives us an edge in that sense. >> Tell the audience more about GANT and in context. >> So GANT has quite a heritage it's an old company, it was formed in 1949 on the American East Coast actually in New Haven, Connecticut. And we moved the business to Sweden, Stockholm where I'm from in the 80s. We used to be one of the biggest shirt makers in the 50s and 60s and there's a lot of innovation in the GANT shirts. Like the locker loop do you know about that? Yeah that's a GANT. >> Oh no kidding, I didn't know that, oh thank you! >> Alright. >> I'm looking at the site now and I'm looking at some good stuff. >> So retail's an incredibly important industry for us and Google Cloud, and you touched on this retail's going through so much transformation and disruption right now, and what we're seeing is retailers are really striving to transform the entire business across all parts of the retail value chain, and we believe that technology and cloud computing is a big part of that transformation journey, which is why we're very excited to launch Google Cloud for retail, which is a suite of solutions that addresses specific business challenges retailers face and this is actually a collection of solutions that are both built by Google Cloud, like vision product search, recommendations AI, and also from our ecosystem of technology and SI partners, solutions like intelligent inventory, targeted digital marketing or demand forecasting, so we're very excited to bring technology to our retail consumers and help them in their transformation journey. >> Well it's great that you've got across to me and Rickard I will ask you kind of a work question, what do you do on a day to day basis, what is your job function 'cause IT's certainly changing, the workforce is going digital, the innovation certainly on your product side that you sell clothing, but you've got to run it all, what's your role? What do you do on a day to day basis? >> What I try to do is like optimize collaboration between us, between the main company and the subsidiary companies and all the, out to the retail and the stores, to get people just to move as fast as possible because that's, GANT's motto is never stop learning, and that's something that we try to live by from day to day, and that's a big part of it is collaboration and speed, that's our main issues. >> What's the core problem that you're trying to solve, what's the challenge, opportunity that you're going after, just more human to human inventory, what are some of the core challenges that you're trying to solve and turn them into opportunities? >> Well the, lets see, just getting people on board so from the new way of thinking when it comes to technology and not be stuck in old ways, but we can tryna foster every continuous change from an IT perspective, so instead of doing big releases and new technology we're always trying to just keep it flowing and doing changes all the time and that's something that our users are very used to, working in that way, which is, yeah. >> I mean data is critical in this whole equation, and it's, eluding to earlier, a lot of successful companies these days, Google being one of them puts data at the core. 1949 you were putting data at the core, it might have been a manufacturing plant or >> (laughs) Bunch of hearts. >> And conceptually we can see okay, we can draw the picture of putting data at the core and putting people around it, but what does that mean from a practical standpoint, how are you using data at GANT, and again I'm interested in how Google is helping, and if you could be specific in the context of G Suite that would be helpful as well. >> Well we are using data from the very beginning of the process because our end product is a very analog product it's a shirt, but the first step from the design department and all the data surrounding sciences, collars and everything so it is data from the beginning to sales figures in the end, definitely, we try to yeah. >> Yeah absolutely. >> If you could talk about the challenges around cloud and the opportunities, the challenges customers have in retail, as Dave mentioned data is killer, opportunity, but also could be a double edged sword, it could actually cut you the other way if you're not managing the data 'cause the user experience is number one, so you have to have access to data you've got to have discovery mechanisms in place and know when the right data to mix with the right data, knowing which profiles to look at, all kinds of things going on that's really data driven, what have you found in the industry to be a correct direction or best practice for retail because, the difference between getting it right and wrong could be literally one data point. >> Absolutely. Yeah data's hugely important and I think capturing the right data in your ecosystem is the starting point. So we talked about machine learning and AI all the time but really that starts with the foundation of strong data sets so one of the things we work with retailers on every time we have relationships and partnerships is lets identify the challenges you want to solve for and lets figure what data you have in your ecosystem that we need to bring together to set the stage for solving their problem right, so whether if it's things like demand forecasting, you need to start with capturing inventory information in real time first, so maybe supply chain has some level of tracking of your inventory but then lets look in store, how do we capture real time inventory flow within this store, there's lots of new technologies to help you do that now, and we build that data set with the retailer, and then we take them to the next step of infusing machine learning and other capabilities. >> Machine learning's only as good as the data, bad data in is bad machine learning, bad AIs so >> Exactly. >> So getting data right at the beginning, verses going in and cleaning it later is a huge issue. >> Incredibly important and it's something that retailers have to focus on and make that a priority to capture the right data, the right clean data as you said. >> So the big theme this week that we've been talking about is old way, new way, and you're seeing all kinds of old techniques whether it's perimeter based security or data warehouses, now moving to a whole new modern era and you guys are kind of leading the charge there so if you guys could comment about what you think the biggest misconception is for people not understanding this new way, using data, using a lot of big scale applications in the cloud, having micro services and cloud native techniques, a whole new way of building apps, whole new way of workspace collaboration is changing, what is the big misunderstanding that people from the old side world aren't getting, before they move over? >> Yeah, one of the common misconceptions that we see is that, they believe it's all or nothing. You don't have to take everything at once, there's a journey that you can map for yourself based on where your organization is in the maturity curve and the understanding and capabilities that we have from our technology perspective so what we work with our customers on is really identifying where are they at and what is important to them, and how can we craft a journey that's specific to their business to take advantage of cloud and the technology that we have and the solutions that we have, and it may be different for everybody but that's what we're here for, we work with them closely to do that. >> Rickard any comment on your end, on misconceptions people might have that haven't moved yet over to the new way? (laughs) >> Well everyone has the legacy applications and legacy systems but I think that now it's pretty obvious that everything should move into the cloud for security reasons and just practical reasons I think that's the way to go. >> Paint a picture for us, I like this journey concept, it's a good metaphor, and we had Amy Lokey on yesterday, we were talking kind of the future of work and I almost envisaged okay I want to work faster, smarter, I want more collaborative, I want to be secure, that's kind of the frontline worker, what you're talking about Pravin is a whole back end data model as well, intergrating that with the front end, so and then maybe there's some specific things in retail, in specific use cases so, I'm interested if you could paint a picture of sort of the vision of the digital workplace that you're building and that journey that you're on, what's that look like? >> Well less local servers is one big thing and just flexibility in how you work and how you can access on any device, that's the very important thing for us always you should be able to work on the move and as I said, be able to set up a new market super quick, you can do online training via Hangouts for example, and we can meet people digitally instead of traveling that's a big thing for us. We recently just set up a new office in Hong Kong and I didn't even go to Hong Kong for that, we just made that they have a good internet connection and that's it and they are up and running. >> Anything you could add to that? >> Absolutely, you know, we talk about G speed adoption, some of the common use cases that Rickard talked about already about just enabling better communication and collaboration is one thing, but then think of the next step of the journey right, if they're centralizing their data on Google cloud, so data like inventory data, both from their supply chain but also from in store captures now they can use that data and plug it into some sort of a clientele application that's integrated with G Suite where the store associate has a very quick understanding of what real time inventory they have as the customer comes in and asks for something, they're able to very quickly respond to that customer without having to go back and check in the back of the store or on the shelf, because that information is available to them right on their finger tips. With a combination of G Suite, but also the data that's flowing into G Suite. >> As a customer of Google what's your impression of Google Next this year, what's your impression? >> I think it's amazing, it was a lot bigger than I thought it would be, this is still overwhelming to take in. It's really interesting I've met a lot of interesting people and had a lot of good talks with people around here and a lot of good information from potential customers or partners to us. >> Contents on message with the enterprise digital transformation but real meaty deep dive sessions, experts around. >> Yeah there's a lot of good stuff here. >> Pravin your thoughts on the show? >> It's incredible every time I come to, this is my fourth Google Next and every time I come here it's just incredible to see the passion that we see from the attendees and it's growing so tremendously every single year, and we can't be more excited to have all these customers here sharing and learning from each other. >> In your opinion what's the most important story that people should pay attention to coming out of Google Cloud Next, what's the high order bid? What's your opinion? >> I'll be biased, it's our focus on industries. Thomas talked about it quite a bit, we're very much focused on key industries and trying to solve challenges faced by our customers in those industries, and we're bringing solutions to market that addresses the biggest focus they have for their business. >> Rickard shopping's important these days even for men and women, what's some shopping tips that we can share? Inside information from the data. >> Even for men that's beautiful. (laughing) I love to shop. >> I'll never go wrong with a white-- >> Never wear a tie on stage I told Dave. >> I've got my pink tie on today! >> You'll never go wrong with a white buttoned down oxford shirt that's my only tip. >> And some chinos maybe, chinos are hot. >> We have a lot of those. >> Alright. Rickard thanks for coming on, thanks for sharing your story, >> Thank you very much. >> Pravin thanks for coming on. >> Thank you for having us. >> CUBE coverage here. We're talking it all, clothing, CUBE, data all here in theCUBE, we're on the ground floor, I'm John Furrier, Dave Vellante, more CUBE coverage after this short break. (bright electronic music jingle)

>> Live from San Francisco. It's the Cube. Covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Hey welcome back, everyone, we're your live coverage with the Cube here in San Francisco for Google Cloud Next 2019. I'm John Furrier, my co-host Stu Miniman. I've got two great guests here from Google. Guemmy Kim, who's a group product manager for Google, Google Security Access and Christiaan Brand, Product Manager at Google. Talking about the security key, fallen as your security key and security in general. Thanks for joining us. >> Of course, thanks for having us. >> So, actually security's the hottest topic in Cloud and any world these days, but you guys have innovation and news, so first let's get the news out of the way. All the work, giz, mottos, all of the blogs have picked it up. >> [Christiaan Brand] Right. >> Security key, titan, tell us. >> [Christiaan Brand] Okay, sure. Uh, high votes on Christiaan. So uh, last year and next we introduced the Titan Security Key which is the strongest form of multifactor certification we offer at Google. Uh, this little kind of gizmo protects you against most of the common phishing threats online. We think that's the number one problem these days. About 81% of account breaches was as a result of phishing or bad passwords. So passwords are really becoming a problem. This old man stat uh making sure that not only do you enter your password, you also need to present this little thing at the point in time when you're logging in. But it does something more, this also makes sure that you're interacting with a legitimate website at the point in time when you're trying to log in. Easy for users to fool victim to phishing, because the site looks legitimate, you enter your username and password, bad guy gets all of it. Security key makes sure that you're interacting with a legitimate website and it will not give away it's secrets, without that assurance that you're not interacting with a phishing website. >> [Christiaan Brand] News this week though is saying that these things are really cool and we recommend users use them. Uh, especially if you're like a high-risk individual or maybe an enterprise user or acts sensitive data you know Google call admin. But what we're really doing this week is we are saying "okay this is cool" but the convenience aspect has been a bit lacking right? Uh, I have to carry this with me if I want to sign in. This week we are saying this mobile phone, now also does the exact same thing as the Security Key. Gives you that level of assurance, making sure you're not interacting with the phishing website and the way we do that is by establishing a local Bluetooth link between the device you're signing in on and the mobile phone. It works on any Android N so Android 7 and later devices this week. Uh and essentially all you need is a Google account and a device with Bluetooth capability to make that work. >> Alright, so, we come to a show like this and a lot of people we geek out as like okay what are the security places that we are going to button, the cloud, and all of these environments. We are actually going to talk about something that I think most people understand is okay I don't care what policies and software you put in place, but the actual person actually needs to be responsible and did you think about things? Explain a little bit what you do, and the security pieces that you know individuals need to be thinking about and how you help them and recommend for them that they can be more secure. >> In general, yeah, I think one of the things that we see from talking to real users and customers is that people tend to underestimate the risks that they are under. And so, we've talked to people like people in the admin space or people who are in the political space and other customers of Google cloud. And they are like, why do I even need to protect my account? And like, we actually had to go and do a lot of education to actually show them that they're actually in much higher risk than they think they are. One of the things that we've seen over time, is phishing obviously is one of the most effective ways that people's accounts get compromised and you have over 70% of organizations saying that they have been victims of phishing in the last year. Then the question is, how do we actually then reduce the phishing that's happening? Because at the end of the day, the humans that are in your organization are going to be your weakest link. And over time, I think that the phishers do recognize that and they'll employ very sophisticated techniques and to try to do that. And so what we tried to do on our end is what can we do on from an algorithmic and automatic and machine side to actually catch things that human eye can't catch and Security Key is definitely one of those things. Also employed with a bunch of other like anti-phishing, anti-spear phishing type things that we will do as well. >> This is important because one of the big cloud admin problems has been human misconfiguration. >> Yeah. >> And we've seen that a lot on Amazon S3 Buckets, and they now passed practices for that but this has become just a human problem. Talk about what you guys are doing to help solve that because if I got router, server access I can't, I don't want to be sharing passwords, that's kind of of a past practices but what other tech can I put in place? What are you guys offering to give me some confidence if I'm going to be using Google cloud. >> Yeah well, I think one of the things is that as much as you can educate your workforce to do the right things like do they recognize phishing emails? Do they recognize that uh, you know this email that is coming from somebody who claims is the CEO, isn't and some of these other techniques people are using. Uh again, like there's human fallacy, there's also things that are just impossible for humans to detect. But fortunately, especially with our Cloud Services, we have very advanced techniques that administrators can actually turn on and enforce for all of the users. And this includes everything from advanced, you know malware and phishing detection techniques to things like enforcing security keys across your organization. And so we're giving administrators that power to actually say, it's not actually up to individual users, I'm actually going to put on these much stronger controls and make it available to everybody at my organization. >> And you guys see a lot of data so you have a lot of collective intelligence across a lot of signals. I mean spear phishing is the worst, it's like phishing is hard to solve. >> [Christiaan Brand] If you think about we have a demo over here just a couple of steps to the right here uh, where we take users through kind of what phishing looks like. Uh, we say that over 99.99% of kind of those types of attack will never even make it through right? The problem is spear phishing as you said, when someone is targeting a specific individual at one company. At that point, we might have not seen those signals before uh that's really where something like a Security Key kind of comes in. >> That's totally right. >> [Christiaan Brand] At that very last line of defense and that's basically what we are targeting here that .1% of users. >> Spear phishing is the most effective because it's highly targeted, no patter recognition. >> Yeah >> So question, one of the things I like we are talking about here is we need to make it easier for users to stay secure. You see, too often, it's like we have all these policies in place and use the VPN and it's like uh forget it, I'm going to use my second phone or log in over here or let me take my files over here and work on them over here and oh my gosh I've just bypassed all of the policy we put in place because you know, how do you just fundamentally think about the product needs to be simple, and it needs to be what the user needs not just the corporate security mandate? >> Yeah, I mean that's a great question. At Google we actually try a nearly completely different way of like kind of access to organizational networks. Like, for example Google kind of deprecated the VPN. Right? So for our employees if we want to access data uh on the company network, we don't use VPNs anymore we have something called kind of BeyondCorp that's like more of a kind of overarching principle than a specific technology. Although we see a lot of companies, even at the show this year that doing kind of technology and product based on that principle of zero trust or BeyondCorp. That makes it really easy for users to interact with services wherever they are and it's all based on trust on the endpoint rather than trust on the network, right? What we've seen is data breaches and things happen you know? Malicious software crawls into a network and from that point it has access to all of the crown jewels. What we are trying to say is like nowhere in being at a privilege point in the network gives you any elevated access. The elevated access is in the context that your device has, the fact that is has a screen lock, the fact that it's maybe issued by your corporation, the fact that it's approved, I don't know, the fact that is has drive instruction turned on, uh you know it's coming from a certain you know location. Those are all kind of contextual signals that we use to make up this uh, you know, our installation of BeyondCorp. This is being offered to customers today, Security Keys again, plays a vital part in all of that. Uh, you know there's trust in the end point, but there's also trust in authentication. If the user is really who they say they are, uh and this kind of gives us that elevated level of trust. >> I think this is a modern approach, that I think is worth highlighting because the old days we had a parameter, access methods were simply, you know, access servers authenticated in and you're in. But you nailed, I think the key point which is: If you don't trust anything and you just say everything is not trustworthy, you need multi-factor authentication. Now, this is the big topic in the industry because architecturally you have to be set up for it, culturally you got to buy into it. So kind of two dimensions of complexity, plus you're going down a whole new road. So you guys must do a lot more than just two factor, three factor, you got to imbed it into the phone. It could be facial recognition, it could be your patterns. So talk about what MFA, Multi-factor Authentication, how's it evolving and how fast is MFA evolving? >> Well, I think the point that you brought up earlier, that it actually has to be usable. And when I look at usability, it has to work for both your end users as well as the idea administrators who are uh putting these on for the systems and we look at both. Uh, so that's actually why we are very excited about things like the built in security key that's on your phone that we launched because it actually is that step to saying how can you take the phone that you already have that users are already familiar using, and then put it into this technology that's like super secure and that most users weren't familiar with before. And so it's concepts like that were we try to merry. Uh, that being said, we've also developed other kind of second factors specific for enterprises in the last year. For example, we are looking at things like your employee ID, like how can an organization actually use that were an outside attacker doesn't have access to that kind of information and it helps to keep you secure. So we are constantly looking at, especially for enterprises, like how do we actually do more and more things that are tailored for usability for both support cause, for the IT organization, as well as the end users themselves. >> Maybe just to add to that, I think the technology, security keys, even in the way that it's being configured today which is built into your phone, that's going into the right direction, it's making things easier. But, I think we still think there's a lot that can be done uh to really bring this technology to the end consumer at some point. So, we kind of have our own interval roadmap, we are working towards in making it even easier. So hopefully, by the time we sit here next year, we can share some more innovations on how this has just become part of everyday life for most users, without them really realizing it. >> More aware of all brain waves, whatever. >> Full story. Yup, yup, yup. >> One of the things that really I think struck a cord with a lot of people in the Keynote was Google Cloud's policy on privacy. Talk about, you on your data, we don't uh you know, some might look and say well uh I'm familiar with some of the consumer you know, ads and search and things like that. And if I think about the discussion of security as a corporate employee is oh my gosh they're going to track everything I am doing, and monitoring everything I need to have my privacy but I still want to be secure. How do you strike that balance and product and working with customers to make sure that they're not living in some authoritarian state, where every second they're monitored? >> That's a good question. Kim if you want to take that, if not I'm happy to do. >> Go ahead. >> Alright, so that is a great question. And I think this year we've really try to emphasize that point and take it home. Google has a big advertising business as everyone knows. We are trying to make the point this year, to say that these two things are separate. If you bring your data to Google Cloud, it's your data, you put that in there. The only way that data would kind of be I guess used is with the terms of service that you signed up for. And those terms of service states: it's your data, it'll be access the way that you want it to be access. And we are going one step further with access transparency this year alright. We have known something where we say well even if a Google user or Googler or Google employee needs access to that data on your behalf, lets say you have a problem with storage buckets, right, something is corrupted. You call uh support and say hey please help me fix this. There will be a near real time log that you can look at which will tell you every single access and basically this is the technology uh we've had in production for quite some time internally at Google. If someone needs to look... >> Look at the data. >> Right, exactly right if I need to look at some you know customers data, because they followed the ticket and there's some problem. These things are stringently long, access is extremely oriented, it's not that someone can just go in and look at data anywhere and the same thing applies to Cloud. It has always applied to Cloud but this year we are exposing that to the user in these kind of transparency reports making sure that the user is absolutely aware of who's accessing their data and for which reason. >> And that's a trust issue as well, it's not just using the check and giving them the benefit... >> [Christiaan Brand] Absolutely. >> But it's basically giving them a trust equation saying look they'll be no God handle access... >> Right, right, exactly. >> You heard with Uber and these other stories that are on the web, and that's huge for you guys. I mean internally just you guys are hardcore on this and you hear this all the time. >> Yeah uh >> Separate building, Sunnyvale... >> No, not separate building. But you know uh, so I've worked in privacy as well for a number of years and I'm actually very proud like as a company I feel like we actually have pushed the floor front on how privacy principles actually should be applied to the technology uh and for examples we have been working very collaboratively with regulators around the world, cause their interest is in protecting the businesses and the citizens kind of for their various countries. And uh we definitely have a commitment to make sure that you know, whether it's organization's or individuals like their privacy actually is protected, the data is secure, and certainly the whole process of how we develop products at Google like there's definitely privacy checkpoints in place so that we're doing the right thing with that data. >> Yeah, I can say I've been following Google for a long time. You guys sometimes got a bad rep because it's easy to attack Google and you guys to a great job with privacy. You pay attention to it and you have the technology, you don't just kind of talk about it. You actually implement it and you dog food it as to or you eat and drink your own champagne. I mean that's how bore became, started became Kubernetes you know? And Spanner was internal first and then became out here. This is the trend that Google, the same trend that you guys are doing with the phones, testing it out internally to see if it works. >> Yeah, yeah. >> Absolutely right, so Security Keys will start there like we uh Krebs published an article last year, just before the event saying we had zero incidents of possible phishers with Googlers since they deploying the technology. We had this inside Google for a long time, and it was kind of born out of necessity, right. We knew there was positive phishing was a problem, even Googlers fall for this kind of thing. It's impossible to train your users not to fall for this type of scam, it just is right. We can view any location all we want, but in the end like we need technology to better protect the user, even your employees. So that's were we started deploying this technology, then we said we want to go one step further. We want to kind of implement this on the mobile phone, so we've been testing this technology internally uh for quite a few months. Uh, kind of making sure that things are shaping out. We released this new beta this week uh so it's not a J product quite yet. Uh, you know as you know there is Bluetooth, there is Chrome, there is Android, there's quite a few things involved. Android Ecosystem is kind of a little bit fragmented, right, there is many OEMs. We want to make this technology available to everyone, everyone who has an Android phone, so we are kind of working on the last little things but we think the technology is in a pretty good place after doing this "drinking of champagne." >> So it's got to be bulletproof. So now, on the current news just to get back to the current news, the phone, the Android phone that has a security key is available or is it data that is available? >> [Christiaan Brand] So it's interesting. In on the Cloud side, the way that we normally launch products there is we do an alpha, which is kind of like a closed liked selection. The moment that we move and do beta, beta is open, anyone can deploy it but it has certain like terms of service limitation and other things. Which says hey don't rely on this as your sole way of accessing an account. For example, if you happening to try and sign in on a device that doesn't have Bluetooth the technology clearly will not work. So we're saying please make sure you have a backup, please keep a physical security key for the time being. But start using this technology, we think for the most popular platforms it should be well shaken out. But beta is more of a designation that we kind of reserve for saying we're starting... >> You're setting expectations. >> But also, one thing I want to clarify that just because it's in beta it doesn't mean it less secure. The worst thing that will happen is that you can be locked out of your account because you know, the Bluetooth could fail to communicate or other things like that. So I want to assure people, even though it's beta you can use it, your account is secure. >> Google has the beta kind of uh which means you either take it out to a select group of people or set expectations on terms of service. >> Right. >> Just to kind of keep an eye on it. But just to clarify, which phones again are available for the Android? >> [Christiaan Brand] Uh, we wanted to make sure that we cover as large a population as possible, so we kind of have to look at the trade offs, you know at which point in time we make this available going forward. Uh, we wanted to make sure that we cover more than 50% of the Android devices out there today. That level that we wanted to reach, kind of coincided with the Android 7, Android Nougat, is kind of the line that we've drawn. Anything Android 7 and above, it doesn't have to be a Pixel phone, it doesn't have to a Nexus phone, it doesn't have to a Samsung phone, any phone 7 and up should work with the technology. Uh and there's a little special treat for folks that have a Pixel 3 as you alluded to earlier we have the Titan M chip that we announced last year in Pixel. There we actually make use of this cryptographic chip but on other devices you have the same technology and you have the same assurance. >> Well certainly an exciting area both on from a device standpoint, everybody loves to geek out on the new phones as Google I know is coming up I'm sure it'll be a fun time to talk about that. But overall, on Cloud security is number one, access, human, errors, fixing those, automating, a very important area. So we're going to be keeping track of what's going on, thanks for coming on. >> Thanks. >> And sharing your insight, I appreciate it. >> Of course, thanks for having us. >> Okay, live Cube coverage here in San Francisco. More after this short break. Here Day 3 of 3 days of wall-to-wall coverage. I'm John Furrier and Stu Miniman, stay with us, we'll be back after this short break. (energetic music)

>> 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 theCUBE, covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Hi everyone, welcome back to the third day of live coverage of theCUBE here in San Francisco for Google Cloud Next 2019. I'm John Furrier, the host of theCUBE, my co-host Stu Miniman, Stu, good to see you this morning. >> Great to see you, John. >> Got a very special guest here, George Kurian, the CEO of NetApp, not to be confused with Thomas Kurian, his twin brother, who's the CEO of Google Cloud, George, it's great to see you. >> Good morning. >> Thanks for stopping by. >> Thank you for having me. >> So, when you've been walking through the hallways, you getting like, a lot of looks and some selfies, um, people want to take a selfie with you, thinking you're Thomas, the famous? >> Quite a few, quite a few. >> So what's it like? >> Oh, it's exciting to see all of the innovation here and the real commitment that Google's made to building out an enterprise platform. We've been working with them for many years, and, uh, we're excited at all of the potential new opportunities that creates, alongside Google's customers and ours. >> Yeah, George, it's got to be interesting, it's almost a little bit of a mirror image, is Google is looking to get deeper into the enterprise, and of course we've been documenting NetApp for many years now, has moved beyond just being an enterprise company, you've been moving to the cloud, maybe, just go back, tell us a little bit- some of the lessons you've learned, and, you know, what you're seeing happen, dynamics in the space. >> I think customers, Thomas said, you know, many of the core tenets that we see which is customers want to operate in a hybrid, multi-cloud world. They want to have cloud technology integrated into their data centers and conversely their applications be portable with a common programming model. I think it's come a long way. You know, I think our technologies now available natively in the Google Cloud, I think the programming model with microservices and containers, and with Kubernetes as an orchestration layer, truly allows, you know, this kind of hybrid world to operate, and I think our opportunity there is to help our customers use data properly across all of these landscapes, understand where it is, you know, orchestrate new applications as well as traditional, uh, so that they can progress the business. And so it's, you know I tell you coming to these conferences over the last three to five years, you can see the pace of change really start to accelerate. I'm interested in what you guys think about. >> Well, one of the things we've been commenting on theCUBE in our opening segments is kind of looking at how the transformation of Google Cloud from Google large-scale, they know data, they know tech, into becoming an enterprise, so, a lot of window dressing around the event, you know, digital transformation, all the right words, but they got the technology. And, you know, one of the things I'd love to get your perspective of because it's not- it's no secret that the Kurian brothers, yourself and your brother, Thomas, are, have great tech chops, also have tons of enterprise experiences, you specifically have been involved in a lot of ecosystems. That's been a big topic here. Can Google really get an ecosystem up and running, I mean, they participated in the CNCF with Cloud Native, but, as an organization, this is something that you're very familiar with, uh, at NetApp, you've been in many ecosystems, you've seen the formula. How, how, how should that evolve, because it's changing, the service's base, I think you're part of the Console Google Cloud from what I've been reporting here. What's the ecosystem formula for, for this new cloud world? >> You know, I'll tell you that, uh, enterprises expect their providers to work together, that's always been the expectation, and, uh, we've had to coexist with even our competitors for a long period of time. I think the core ideas there are to keep the customer at the center of the discussion and figure out how to best solve their problems, regardless of whether it is having to coexist with someone else, right? I think what's been interesting to me is, Linux has really become sort of the core underpinning of the cloud, and Linux was an open-source technology that, in the early years, IBM backed and sponsored. I think containers together with uh, you know, what Google's doing to sponsor it, has really become the opportunity to create the next, kind of layer of, you know, common development model, programming model, common orchestration. I think there's that promise, I think, uh, it's got to be realized. >> George, you, uh, you talked about, uh, the change that we see in the industry, and, you know, we know enterprise is not like, oh, let's just redo everything we were doing, whether I'm a five year old or a, you know, hundred and fifty year old company, I have things that I need to look at, and, I mean, the applications are really tough. It'd be wonderful if I just had a clean sheet of paper, and I can make it all serverless or containerize all my pieces there. Um, the message I heard a lot this week is, you know, meeting customers where they are. It's not just, Google we know has great tech, and smart people, maybe a little too smart sometimes, but, you know, I'd love to hear your viewpoint is, you know, those enterprise customers, are they catching up to the pace of innovation faster and making more change, or, you know, is it still one of these things that we're going to measure in decades as to how long it takes to move things. >> I think it, you know, I see it in a couple of, uh, ways. One is which industry are you in, and the impact of, you know, transformation to your industry. I think if you are in a highly digitally-oriented industry, like media and entertainment, you've got to transform quickly because the whole industry's getting transformed, right? I think conversely, if you're in an industry where digitization helps your workforce be more productive, I think you can take more time. What we see also is, in the places that, uh, are common, for example, in how you evolve your customer experience and how you interact with customers, we see virtually every company needing to transform, right? So I see that, you know, this is a long transformation, it's not going to happen overnight. I think that customers will pragmatically choose to, you know, either refactor existing applications or bill Net New, on a case-by-case, business-process by business-process basis. And that's why we see hybrid, sort of being the de facto operating model. >> George, I want to get your thoughts on multi-cloud and hybrid, obviously the modern application renaissance and revolutions kind of happening, whether you call it a renaissance or revolution, applications are exploding. That's clear. Multi-cloud and hybrid-cloud are key architectural shifts. I'm writing a story right now about the Department of Defense big contract that was awarded to, or to, shorthand, Microsoft and AWS. But, one of the things that have people arguing is that it should be multi-cloud! Now, the Department of Defense is an example, and this is public sector, but also enterprises have the same makeup, they have hundreds of cloud projects. Hundreds! And the Department of Defense is five hundred cloud projects. So there's not one cloud, that's not Amazon. So, this is a world where workloads and cloud selection and the parts of the architecture have to support multiple clouds. Can you explain that, kind of, what that means to customers? Because people get often confused coming from the old way. I'm buying IBM, I'm buying Oracle, I'm buying Google Cloud, and we're done. No, it's really not that case. Can you, kind of, can you react to that? >> Most enterprises that we speak to have hundreds of applications, everything from, you know, mainframe-based core business processing, to highly digital, you know, mobile-based, customer interaction applications. I think they have, sort of, a portfolio approach to manage those, where they say, hey, some of those are going to stay on premise, some of those are going to stay in a private cloud, and then I've got this palette of, you know, choices around whether I choose software as a service or infrastructure or platform as a service. And I think that when you look at a, you know, a reasonably large company like ours, we run about five hundred applications in the company. There's no single palette, right? You've got to have these inter-operate, I think from a governance standpoint from how you integrate the data across these landscapes, and from how you ensure compliance, security, and so on. And I, so I think, you know whenever a company tries to say that I can do everything, I think that's a little bit facetious, to be honest. >> And so, the reality is, multiple workloads, multiple cloud projects will happen, multiple vendors, but in a new way. Workload driven, with the data, obviously the data's critical, storage is key. Um, Stu, you want to- >> Yeah, so, you know, I think back to the storage world, storage was always a fragmented marketplace, and I had my application silos that I, that did this. Now, what have we learned from multi-cloud, that would, from multi-vendor, as we go into multi-cloud and, how can we allow customers to really unlock that value of data, because if it all stays fragmented in silos, it's a lot harder to be able to actually leverage it, use it, for all the, you know, AI, ML, or data, uh, value. >> Absolutely, I think, you know, one of the long-term theses we've had is that the world gradually moves from system-centric or process-centric to a data-centric world where the core asset that you're operating on is not the value of an individual business process, but the integration across your business processes, right? And so, this is why we think in a hybrid world, you need something like a data fabric to stitch together all of these landscapes. Those landscapes need to increasingly be stitched together in real time because of the speed of decision making or the use of, you know, real time analytics or real time business deci-, you know, processing. And so that's why we've integrated our technology into multiple landscapes, right, both traditional, but increasingly containerized or cloud-based, cloud-native applications. And I think that's again a multi-year journey. I think IT has to transform, IT architectures has to transform, and frankly businesses need to as well. They need to think about data as a property of the whole business, rather than a for function or a department. >> So just to click on that, double click on that for a second because, what you're saying is, a data fabric allows for multiple data to move around the workloads. So what you're saying is, if you want to take it- well, I'm saying- want to take advantage of machine learning and AI, the data has to be addressable in real time. Meaning, you don't have time to go fetch it from a database that may or may not be available at any given time, so making data addressable, horizontally scalable, for whatever workload, at any given time from retail to personalization, or whatever, right? >> Absolutely, right, so for example, if you look at the way a, um, AI or an ML data pipeline works, there's a period in the pipeline which is about training and feature engineering where you're trying to develop the model the right way. And then you're going to let the model run, but the model's going to be reacting to real time data input and constantly making transformations to how the business reacts. I think that data input needs to be fed in from all of the business processes that support the business, right, rather than a, hey I'm going to create an artifact that's, uh, static artifact that's trained once and then you're going to run the business. So that's why we think you've got to operate the hybrid world as an integrated world at the data layer. >> Yeah, George, one of the interest, there's a study, uh, that Google put out that they had acquired a group, DORA that looks at high performing environments, uh, and you know, what differentiates kind of, the, you know, the leaders of the pack. You talk to a lot of companies, and I'm sure you must, you know, have some, you know, opinions on this. Tell us, what, what is separating, you know, the leaders in the end user space, as to, uh, you know, from, from those that are, that are following. >> I think that, uh, the leaders, you know, are, have the capability to transform themselves, and transformation, you know, people talk about digital transformation. I think the most important part of that is actually the transformation part, and it's organizing people to allow experimentation, learning from experimentation, to celebrate failure, I think that's hard for big companies to do, right? Because you're set up to ensure that you're managing the risk of not failing, on the other hand, I think, in a world where there's a new game being created, you got to be able to allow the organization to try different things and it's okay to fail. >> And the speed pressure, too, to go faster, certainly with cloud, everything's accelerated from time to market, time to value, technology development. >> Absolutely. And I think that is also one of the fundamental changes going on in the industry. We were at the end of a paradigm where there were horizontal slices of expertise, which is really the ultimate optimization of an existing paradigm. The new paradigm isn't exactly clear, so, you know, to move faster, IT is creating vertically integrated squads. You look at, you know, Google's creation of a site reliability engineer, it's really a way to accelerate the creation of digital services and optimize the infrastructure associated with it, so. It's a time of change, I think, you know, our view is you got to lean into it, and, uh, you've got to trust the fact that the skills and the cultural values that you've brought are going to help you innovate into the future, not necessarily just the products and the ways that you've done them. And so that's why we think culture is a massively important part of these transformations. >> We're here with George Kurian, CEO of NetApp, not to be confused with Thomas Kurian, CEO of Google who's also walking around the floor, show floor, talking to customers. George, thanks for coming on and sharing your insight, you guys are awesome, the twins are super smart, running two big companies, thanks for spending time. Share us personal story, with George, I mean Thomas hasn't come on yet, he's too busy, we'll get him later on theCUBE, but share a story about him, what's he like, who wins the arm wrestling matches, share a- what's he like, tell a personal story. >> I think he's shy, uh I think we're both really, we realize how lucky we are, you know, we grew up in places where people, you know, some of us had sort of unmerited grace, you know, the blessings of being born to extraordinary, good families and parents, and so we're always cognizant of that. It's amazing that two guys in India, who had never seen a computer till we left India to come to the United States, now have the opportunity to be a big part of the computer industry, so we're just really grateful, and God's been good to us. >> Well congratulations, love the tech chops, value and culture, big deal right now, thanks for spending the time sharing the insights, appreciate it. >> Thank you for having me. >> George Kurian here on theCUBE with John Furrier, myself, and Stu Miniman, more CUBE coverage after this short break. (upbeat music)

>> fly from San Francisco. It's the Cube covering Google Cloud. Next nineteen, right Tio by Google Cloud and its ecosystem partners. >> Welcome back to Google Cloud next twenty nineteen Everybody, you're watching The Cube. The leader in live tech coverage. My name is Dave Volonte, and I'm here with my co host Stew Minutemen. John Ferrier is also here. Three days of wall to wall coverage of Google's Big Cloud Show customer event this day to a Shook Ramu is here is the vice president of Cloud and Customer Active Fio Boston based Great to see you again. Thanks for coming on to be here. So big show Active fio Category creator. Yeah, right. Yeah, drying it out. Battling in a very competitive space. Absolutely. Doing very well. Give us the update on what's going on with your company. So first >> to follow your super excited to be here Google next, right with one of the strategic partners for Google been working well in all departments. He had a great announcement. Today we announced active field goal for Global Bazaar SAS offering on it's dedicated to the Google platform. We want tohave the activity of experience be that much more better and easier for people running data sets anywhere, particularly in Google. So and Google has been one of our premier partners over the last, I would say three years or so we've gone from strength to strength, so very happy to be here and super excited to be launching this offering. You >> guys started active, Theo. It was clear you saw market beyond just back up beyond just insurance. You started to develop you populist copy data management. That term, everybody uses that today you sort of focused on other areas Dev offs, analytics and things of that nature. How is that gone? How is it resonated with customers? Where you getting the most traction today? >> So great question. I mean, it's gone really well, right? We've kind of been the leader, like you said, setting up the category and basically changing the way that it has looked at and being managed right data now, as a commodity is no longer a commodity. But it's an asset and we're kind of enabling companies to leverage that as it in many different ways on a cloud is here. Everybody wants to go to the cloud. Every customer we talked to every prospect we touch. Want to leverage Cloud And Google is coming in with a lot of strength, a lot of capabilities. So what we're building in terms of data transformation the data aware application of where technologies we have is a resonating very well. The devil of space we talked about, you know, is is the tip of the spear. For us, accounts are over seventy percent of our business, you know, And the last I checked, over sixty to seventy percent of our customers are leveraging cloud in some form. I'd be for Del Ops, cloud bursting D r and all of those categories and, you know, having a very strong enterprise. DNA makes his deal with scale very easily take complex applications and make it look simple. And that's been our strength for the past nine years. So we continue to in a way that strengthen work with Google to make the platform even more stronger. >> When, when I think back of those early days you said enterprise architect her it was like, Okay, let me understand that architecture, the building blocks, you know, the software i p that you have, but it's been quite a different discussion I've been having with your your team the last couple of years. Because, as you say, cloud is front and center and not surprising. To hear the devil is a big piece of help. Help us update kind of that journey. And, you know, a full SAS offering today. How you got from kind of the origin to the company, too, You know, a sass offering. Sure, >> right. I mean, we always knew we had a phenomenal product, right? And a phenomenal customers. We have a number of fourteen thousand two thousand customers with us. And you know what we realized is the adoption off. You know, to understand how cloud works and understand how customers can easily manage to cloud, the experience becomes much more important on. So the SAS offering is more about how do you experience the same great active Your technology with the push button is of use. So we enable the implementation installation ingestion of data in a minute. So by the time you're done with the whole process, you're already starting to love respect If your technology in the closet, your choice. An active field goal for Google. Particularly targets ASAP. Hana Sequel and other complex workload. So these workloads are traditionally been in a very infrastructure heavy, very people heavy in terms of managing. And what we've done is to radically transform how you manage those worthless. A lot of organizations and the conversations I've had over the last twenty four hours has been Hana this and Hannah that How do I make on a simple I've heard active you is the way to go for managing a safety. Hannah, how do you guys tackle it? And this is very interesting conversations with a lot of thought leaders who help us not only build a better product at all, it'll be improve the experience that they take it from there. So that's how I I would see the transformation for the company. >> Why? Why is active field make Hana simple? What is it specifically about? You guys >> don't differentiate. You think the great question. So Hana in general has been a very complicated, hard to install, hard to hard to hard to manage application. So what active you brings in is native application technology, right? So we don't go after infrastructure. We don't go after just storage. But we look at the application of the hole. So when you talk application down, we learn the application. We figure out how it works, how it works best, and how does the best way to capture it and present data back, which is what it's all about. And when you start from there, it's a hard problem to tackle, so it takes a little bit of time for us to tackle that problem. But when the solution comes out, it works one way across all platforms. So we've had customers moving data from on crime to the cloud, and they don't see a difference. They used to go left. Now they go right. But as part of the application to thin works, it works the same way a developer, using Hannah is using Hannah the same way yesterday that he was today. Because even though the databases moved from on creme of the club, so that transformation requires the level of abstraction and understanding the application that we have automated and building your engine >> okay, The hard question for data protection data managed folks today is how are you attacking SAS? Most companies that we asked that question, too, is that his roadmap roadmap Maybe that case for you too. But what is your strategy with regard to sass? Because something triggered me when you talked about the application yet and I know Ash knows background systems view application view has always been his expertise, your company's expertise. How eyes that opportunity for you guys. Is it one that you're actually actively pursuing? If so explain. If not, why not? Is it on the road map? >> So it's certainly an opportunity of pursuing and, you know, working with a number of sass vendors to figure out again a sense of, you know, where is the critical data mass? SAS is a number of components toe and essence off. Any particular application is you know, where is the workload? What is the state machine and how do you manage it? That's the key element. And once you tackle that, the fast application is like any other applications. So we have, you know, people working with us to build custom connectors for, like, office three, sixty five and other other elements of sass products. So as time of walls, you'LL see us, we'LL start working. We'Ll have announcements for the Cloud sequel and other Google platform of the service offerings. Amazon Rd s Those offerings are coming, and we will be basically building the platform. And once the platform comes just like active you has done, we will tackle the SAS applications. One >> of the first technical challenge. It's Roma business challenges. >> It's a business challenge. And you know, for us we have to focus on where the customers want to go, where the enterprise customers wanna go. And Stass at this point is, I would say, emerging to be a place where Enterprise wants to adopt it out of scale that they want adopted. So we're certainly focusing on that. >> And I think there's a perception to stew that, well, the SAS vendor there in the cloud, they got my data protected so good. >> Yeah, well, we know that's not the case that they need to worry about that. >> And I said, I said protected and that's not fair to you guys because >> I was a little, >> much wider scale. >> So But, you know, we were talking about ASAP, and we've watched some of these, you know, big tough application, and they're moving to the clouds. There's a lot of choices out there. You've announcement specifically about Google. What can you tell us about why customers are choosing Google? And if you have any stories about joint Google customers that you have love, >> I would say, Let's start off. You know, I would thank Google because it's one of the key partners for us. You've done over many, many million dollars last year, and we want to double the number of this year right on. It's been all the way from companies that have fifteen to twenty PM's two companies that have twenty thousand, so it spans the gamut. You know, from an infrastructure perspective, Google is the best of the brief. Nobody knows infrastructure computer memory better than Google. Nobody knows networking better than Google. Nobody knows security better than moving. So these are the choices. Why Enterprises? Now we're saying OK, Google is a choice. And as I see on the field flow today, last year was, I have a project. Maybe gold this year is how do I do ABC with gold So the conversations have shifted off. Should I do Google? Worse is how do I do ABC with Google and then you marry active use technology, which is infrastructure agnostic we don't care their application runs. And with that mantra you marry that Google infrastructure. It creates a very powerful combination for enterprises to adopt. >> So just as the follow ups that when we talk to customers here, multi cloud is the reality. So how does that play into your story? And where do you see that fit? >> We were always built multi cloud. So right from day one active use platform architecture Everything has been infrastructure diagnostic. So when you build something for Veum, where or Amazon it works as is in group. And with the latest capabilities on Claude Mobility that be announced a few months ago, you Khun move data seamlessly between different cloud platforms. In fact, I've just chosen in active field Iran be its de facto data protection platforms on all my old life. So you could hear. I know activity also being supporter Nolly Cloud s so that we'll be the only floor platform that is the golden standard to protect complex works lords like a safety nets. >> You mentioned you have a team in in Hyderabad. What? What are they working on? Is it sort of part of the broader development team? Your cloud Focus, Google Focus. What's >> the team in Hyderabad is very much integrated to our engineering team out of Boston. So, you know, they're basically equivalent. We all work together collaboratively. The talent in Hyderabad is now building a lot off our cloud technologies. And the spell is the emerging Technologies s. So we've been able to staff up a very strong team instead of very strong partner. Seems to kind of help us argument what we have here. So leave. Leaders here are basically leveraging. The resource is in Hyderabad kind of accelerate the development because, like, you know, there's never started to work. >> Okay, so you're following the sun and that and that and that the talent pool in that part of India has really exploded. You've seen that big companies hold all the club providers All the all the new ride share companies for their war for talent. Isn't there exactly good? So talk road map a little bit. What could we expect going forward, You know, show us a little leg, if you would. >> So you can see a lot more announcements around activity ago for Google will be enhancing the experience around, you know, adapting and ingesting ASAP and sequel, etcetera. You'LL be looking at a lot of our SAS integration offerings that are coming out. You talk about obviously sixty five Cloud Sequel Amazon RD s Things like that. We'LL have a migration sweet to talk about. How do you How do you ingest and manage communities? Containers? Because that's becoming a commonplace today, Right? How do you How do you tackle complex container in nine minutes? Micro Services. That's a maybe a focus for us and continue to, you know, build and integrate further into the application ecosystem. Because these applications not getting simpler ASAP is continuing to build more complex applications. How do you tackle that? The words road map and keep up with it. That's going to be what we going to be focusing on. >> So active Diogo. We talked about that a little bit. That's announcement here. That's that's your hard news. Yes, it's went to chipping, and once it available >> to go, it's a sass offering, so there's nothing to ship you know so well. Actual SAS pricing model. It's an actual SAS pricing model, fast offering one click purchase. Was it busy installed? So yes, >> Stewie's laughing because so many sass is, aren't a cloud pricing >> three years but only grow up? Can still nod. >> It's not an entity for reporting. It's not an entity that just gives you a bunch of glamour screens. It is actually taking your Hannah workloads and giving it to you for data protection, backup, disaster recovery. So it is. It is true active feel, the time test addictive you and a price product now being off for this test. So >> and how are you going to market with that product? >> So we have a number of vendors, this fellow's Kugel partners here. I get work with them to tow and to kind of generate the man and awareness. So this has been in works for over six months now, So it's not something that came out of the blue, and we've been working with Google in formulating the roadmap. For us, it is >> the active ecosystem looking like these days. How is that evolving? >> It's it's it's It's, um I would say, you know, the customers are the front and center of our ecosystem. We've always built a company with customers first mentality, and they drive a lot of our innovation because They give us a lot of requirements. They reach us in different angle. So they've helped us push the cloud road map. They've helped us push to the point where they want faster adoption. Is that adoption? And that's kind of where we're going, how the ecosystem is now still around enterprises. But the enterprise is tryingto innovate themselves because now data is that will be available. Eso abject with large financial institutions. GDP are so these are all the requirements and they're throwing at us. Okay, you can manage data. How do you air gap it? How do you work with object storage? How do you work with different kinds of technologies? They wanna work with us. And, you know, we've always stepped up to the plate saying, Sure, if it's a new piece of technology that we feel is viable and has the road map will jump at it and solve the problem with you. And that's always been the way of you the partner and growing the company >> you mentioned Air Gap. Some we haven't talked about this week is ransom. Where we talk about most most conferences. It's it's one of those unpleasant things that's a tailwind for companies like >> bank. Right. And we have an offering on ransomware rights. If you look at cyber resiliency, we're the only product in town Where and if you're hit by Ransomware, you can instantly the cover and say, Oh, my ransom or hit me on the seventeenth January, anything after that is gone. But at least I can get to seventy the January and sought my business up. Otherwise, everything else every other product out that this will take weeks or months to figure it out. So, you know, that's another type of a solution that came up. Not there, not there. Not happy about handsome. Where? But that does happen. So we have a solution for the problem. >> Thanks so much for coming in the cubes. Have you >> happy to be here? >> So we'LL see you back in Boston. All right, All right. Thanks. Thanks for watching everybody, This is the cube Will be here tomorrow Day three Student A mandate Volante and John Furrier Google Next Cloud Big Cloud Show We'LL See you tomorrow. Thanks for watching

>> fly from San Francisco. It's the Cube covering Google Cloud next nineteen Rodeo by Google Cloud and its ecosystem partners. >> Welcome back to San Francisco, everybody. This is the Cube, the leader in live tech coverage. And we hear it. Mosconi Center, Google Cloud. Next twenty nineteen. Hashtag Google. Next nineteen. I'm Dave, along with my co host student, Amanda's Day two for us. Anthony Lives here. Senior vice president, general manager of the Cloud Data Services Business Unit That net app Cuba Lawman Louis Versi. Who's senior cloud engineer at Cloud Health. Gentlemen. Welcome, Cardinal. Help that I got cloud in the brain. Gentlemen, welcome to the Cube. Thank you much for coming on, Luis. Let's start with you. Uh, a little bit about Cardinal Health. What you guys air are all about. Tell us about the business. Sure. >> Uh, Cardinal Health is a global supply chain medical products services company. We service hospitals, pharmacies throughout the world. We're drivers are delivering cost effective solutions to our two patients right throughout the world. >> Awesome. We're gonna get into that, Anthony, you've been in the Cube a couple times here almost a year since we were last at this show. it's grown quite a bit. Good thing Mosconi is new and improved. He's got all these new customers here. Give us the update. On what? Look back a year, What's transpired? One of the highlights for you. >> Open it up. You know, we've achieved a tremendous amount. I mean, you know, we were a Google partner of the year, which was quite nice. Wasn't even award for the hard work? You know, we have a very special relationship with Google. We actually engineer directly into the Google console, our services that their products that are sold by Google, which gives us a very unique value proposition. We just keep adding, you know, we have more services and we had more regions on. We continue to sort of differentiate the basic services that that customers are now using for secondary workloads and increasingly very large primary work. Look all >> right, we're going to get into it and learn more about the partnership. But but thinking about what's going on, a cardinal health question for you, Lewis is one of the drivers in your business that are affecting your technology strategy and how you're dealing with those. >> Sure, there's a few things on. I'm sure this is the same in many industries, right? We're facing cost pressures. We need to deliver solutions at a lower cost than we have been in the past. We need to move faster. We need to have agility to be able to respond to changes in the market place. So on Prem doesn't didn't give us a lot of that flexibility to turn those lovers in any of those three areas that those three things have really driven our push into the cloud. All >> right, Louis, let let's dig into that a little bit. You could kind of Do you still have on Prem as part of your solution way? Still have >> some eso We've been working over the past two years to my great work loads out of our data center into the cloud. We're about eighty percent of the way there. There's gonna be some workloads. I Siri's doesn't run in the cloud. Very well. You know, we've got Cem >> Way. Were just joking about that earlier today. Yes, yes, yes. Lots of things. But in the back corner somewhere, I've got that icier running or the day working on that Anthony way. >> Blessed with blessed. You know, this is a customer of ours, and way enabled him to run some, you know, pretty heavy on Prem workloads that required NFS can now run, you know, production on Google clouds. So >> yeah, and you're basically trying to make that experience Seamus Wright A cz muchas. You can wait. Talk about that. That partnership with Google, What are the challenges that you guys are tryingto tackle? I'm just going to refer to your >> question. I mean, you know, what we see is that there's a sort of a pivot with the clouds that traditional i t people thought horizontally and they try and sort of you had a storage team and you had a security team and you had a networking team in the cloud. It's sort of pivots ninety degrees, and you have people who don't work clothes on the workload. People are experts in every single thing, and so they go to the cloud, assuming that the cloud itself will take care of a lot of that problem for So we worked with Google and we built a service. We didn't We didn't build it for a storage guy tow, configure. And you know it undo the bolts and nuts way built it like dial tone. That there is. The NFS is always on in Google Cloud and you come and provisioned an end point and you just tell us how much capacity you want and how much performance. And that's it. It takes about eight seconds to establish a volume in Ghoul Cloud that may take through, you know, trouble tickets, and I t capital purchases about six months to do. >> Yeah, Anthony. Actually, one of my favorite interviews last year is I talked to Dave Hits at your event, and he talked about when we first started building it. We build something that storage people would love, and you shot him down and said, No, no, no, This needs to be a cloud first Clouds absolution. Louis, I want to poke at you. You actually said Price is a main driver for cloud agility. Absolutely. But bring this inside a little bit. I know you're speaking at the show a year. You know, people always say, it's like, Hey, you know, cloud isn't easy. Is it cheap? Well, you know, Devil's in the details there. So would love to hear your experience there. And you know how you know less expensive translates in your world? Sure. >> So when we were looking for something, we tried to get away from Nasim. We're moving to the cloud and we just can't do it right There's way have a lot of cots, applications, a lot of processes that you just have to have known as right and we're looking for something Is Anthony described that with a click of a button are developers Khun spin up their own storage. The price point was lower than then. Frankly, you could get just provisioning the type of disk that you need in the cloud fur, and that was acceptable for most of our workloads. The the the ability to tear right. There's through three classes of storage and in the cloud volume services. Most of our workloads are running on the standard tear, but we've got some workloads where they've got higher performance and we provisioned them right on the standard. And when that you're doing, they're testing like, hey, we need a little bit more with a click of a button there at a higher tier of storage. No downtime, no restarting, no moving storage. It's I just worked. So the cost, the agility were getting all of that out of the solution to >> manage those laces, that sort of, ah, sort of automated way or you sort of monitoring things. And what's the process for for managing, which slays the slaves on the different tiers of storage. If >> we provide him, Yeah, we're not. We're not money for s. >> So it's all automated. >> Run it. And we stand by guarantees throughput guarantees on we take the pain away. You know, I always like to say, you know, what people want to do in the public cloud is innovate, not administrator. And generally, you know. So when when people say clouds cheaper, it's because I think they've decided that they're better use of the dollar is in application development, data science, and then they can retire people and put application developers into the business. So what ghoul does, I think incredibly well as it has infrastructure to remove the sort of the legacy barrier and the traditional stuff. And then it has this wonderful new innovation that, you know, maybe a few companies in the world could decide could use it. But most people couldn't afford to put TP use or GP use in their data center, so they know he was really two very strong Valley proposition. >> And maybe what they're saying is when they say the cloud is cheaper, maybe is better are why I'm spending money elsewhere. That's give me a better return. >> I do things that make you different. Not the same, right, >> right, right. So storage strategy. I mean, I'm sure there should be such a thing anymore. Work illustrated back in the day when used to work A DMC was II by AMC for Block Net out for file Things have changed in terms of how you run a strategy. Think about your business. So what is your strategy when you think about infrastructure and storage and workloads? >> So we really don't want to have to focus on an infrastructure strategy, right? Right now we're mostly running traditional workloads in the cloud running on PM's. We're working towards getting a lot of work loads into geeky, using that service and in Google Cloud platform, >> so can you just step back for a second? How do you end up on Google? Why'd you choose them versus some of the alternative out there. >> So we started our cloud journey a couple of years ago. Started out with really the main cloud player in town, like most people have. Um, and about a year in, not all of our needs were being met. You know, they that company entered decided to enter our business segment. S O, you know, starts asking some questions. People start asking some questions there. So that prompted us to do an r f p to try to see technologically really, were we on the right cloud cloud platform? And we compared the top three cloud providers and ended up on GP from a technological decision, not just a business decision. It gave us the ability to have a top level organization where we could provisioned projects to application teams. They could work autonomously within those projects, but we still had a shared VPC, a shared network where we could put Enterprise Guard rails in place to protect the company. >> Dominic Price was on earlier with Google and he was saying some nice things about net happened. I'd like to hear your perspective is why Ned App What's unique about Nana. What's so special about net app in the cloud. Sure, a few of the >> things that Anthony talked about were really differentiators for us. We didn't have to go sign a Pio with another company, and we didn't need to commit to a certain amount of storage. We didn't need to build our own infrastructure. Even in the cloud, the service was just there. You do a little bit of up front, set up to connect your networking and weaken prevision storage whenever we want. We can change the speed the through. Put that we're getting on that storage at any point in time. We congrats. That storage with no downtime. Those are all things that were really different and other solutions that were out there. >> I mean, it's interesting infrastructure. Tio was really still even in a cloud. It's kind of like a bunch of Lego blocks on what we always said it was. You know, people want to buy the pirate ship, you know, they don't want to, like, have to dig in all these bins. And so we sort of said, Let's build storage, Kind of like a pirate ship that you just know that the end result is a pirate ship and I don't have to understand how to pick a ll Those pieces. Someone's done that for me. So, you know, we're really trying, Teo. I was I'd say we like to create easy buns. You know, people just hit the easy button and go. Someone else is going to make sure it's there. Someone else is going to make sure it performs. I am just a consumer off it, >> Anthony Wave talkto you and Ned app. You play across all the major cloud providers out there and you've got opinion when it comes to Kerber Netease, Help! Help! Help! Give us the you know where what you think about what you've heard this weekend. Google. You know, I think how they differentiate themselves in the market. >> You know, I think it's great, you know, that Google, I think open source community. So I think that was a ninja stry changing event. And, you know, I think community's really starts to redefine application development. I think portability is obviously a big thing with it, But But for an application, developer of the V. M. Was something that somebody added afterwards, and it was sort of like, Oh, no way overboard infrastructure. So now we'Ll virtual eyes it But the cost of virtual izing things was so expensive, you know, you put a no s in a V m and communities was, was built and was sort of attracted to the developer. And so the developers are coding and re factoring, and I just You just look around now and you just see the ground swell on Cuban cnc f is here, and the contributions that were being made to communities are astonishing. It's it's reached a scale way bigger than Lennox. The amount of innovation that's going into cos I think is unstoppable. Now it's it's going to be the standard if it isn't already >> Well, Louis, I'd love you to expand. You said it sounded like you moved to the cloud first, but now you're going down that application modernization, you know, how does Cooper Netease fit into that? And what what other pieces? Because it's changing the applications and get me the long pole in the tent and modernization. So >> cardinal took the approach of we need to get everything into the cloud. And then we can begin modernizing our applications because if we tried to modernize everything up front, would take us ten to fifteen years to get to the cloud, and we couldn't afford to do that. So lifting and shifting machines was about seventy eighty percent of our migration to the cloud. What we're looking at now is modern, modernizing some of her applications R E commerce solution will be will be running on Cooper. Nettie is very shortly on DH will be taking other workloads there in the future. That's definitely the next step. The next evolution >> Okuda Cloud or multi Cloud? That is the question way >> are multi cloud. There are, you know, certain needs that can only be met in certain clouds, right? So Google Cloud is our primary cloud provider. But we're also also using Amazon for specific >> workloads and used net up across those clouds erect. Okay, so is that What's that like? Is that nap experience across clouds so still coming together? Is it sort of highly similar? What's experience like? >> So it's it's using that app in both solutions is the same. I think there's some stuff that we're looking forward to, that where where things will be tied together a little bit more and >> that brings me to the road map Question. That's Please get your best people working on that. >> Oh, yeah. No, no. I mean, I So, look, I think storages that sort of wonderful business because, you know, data is heavy, it's hard, it doesn't like to be moved, and it needs to be managed. It's It's the primary asset of your business these days. So So we have we have, you know, we released continuously new features onto the service. So, you know, we've got full S and B nfs support routing an FSB four support routing a backup service. We're integrating NFS into communities, which is a very frequently asked response. A lot of companies developers want to build ST collapse and Block has a real problem when the container failed. NFS doesn't So we're almost seeing a renaissance with communities and NFS So So you know, we just we subscribe to that constant innovation and we'll just continue to build out mohr and more services that that allow I think cloud customers to, as I said, to sort of spend their time innovating while we take care of the administration for them >> two thousand six to floor. And I wrote a manifesto on storage is a service. Yeah, I didn't know it. Take this long, but I'm glad you got there. Last question, Lewis. Cool stuff. You working on fun projects? What's floating your boat these days? >> My time these days is, uh, the cloud. As I said, we went to the cloud for cost for cost savings. You can spend more money than you anticipate in the cloud. I know it's a shocker. So that's one of the things that I'm focusing our efforts on right now is making sure that way. Keep those costs under control. Still deliver the speed and agility. But keep an eye on those things >> that they put a bow on. Google next twenty nineteen. Partner of the year. That's awesome. Congratulations. Thank >> you. Uh, you know, I would say, you know, to put in a bone it's great to see Thomas again. You know, I went to Thomas that Oracle for about six and a half years. He's an incredibly bright man on DH. I think he's going to do a lot of really good things for Google. As you know, I work for his twin brother, George on DH. They are insanely bright people and really fun to work with. So for me, it was great to come up here and see Thomas and I shook hands when we won the award, and it was kind of too really was like, you know, we're both in a Google event. >> Yeah, it was fun. I'm gonna make an observation. I was saying the studio in the Kino today. They were both Patriots fans. So Bill Bala check. He has progeny. Coaches leave. They try to be him. It just doesn't work. Thomas Curie is not trying to be Larry. I'm sure they, you know, share a lot of the same technical philosophies and cellphone. But he's got his own way of doing things in his own style. So I really it's >> a great Haifa. Google great >> really is. Hey, guys, Thanks so much for coming to the cure. Thank you. Keep right, everybody Day Volante with student meant John Furry is also in the house. We're here. Google Next twenty nineteen, Google Cloud next week Right back. Right after this short break

>> fly from San Francisco. It's the queue covering Google Cloud next nineteen, Tio by Google Cloud and its ecosystem Partners. >> Okay, welcome back, everyone. We hear it live coverage here in San Francisco, in Moscow, near on the show floor at Google Cloud. Next. Hashtag Google next nineteen on John Barrier with Dave. A long thing with the Cube, where he with Amy Loki G Sweet vice president of U X for Google. Great to see you. Thanks for coming on. >> Thank you so much for having me. >> So we've been here. It's day two of three days of coverage. A lot of action here. Great profile of of attendees. You got developers. You've got a lot of corporate enterprise focus kind of cloud coming. Maid. She has been the part of the theme, But I loved your key. No, you're showing all the cool features of G. Sweep of the new innovations was kind of going away. What's coming around the corner? What was the mean exercise of Aquino was the main theme. What was the key message? >> Yeah, well, I think in general we are really excited about how g speed is adapting to the changing landscape of work. And so what you heard me talk about was really how we're seeing how ghee sweets, playing a key role and connecting mobile remote workforces. So those front line workers with the back office. And that's a scenario that we're seeing happening today with our customers and many different industries, some unexpected, some expected. So, you know, we heard about AirAsia aviation industry on DH. Then we also talked about a scenario in the retail industry. And so what we're seeing is that these frontline workers are using products like hangouts, chat to communicate very quickly and send data and information back to the back office. S O G. Sweets. Really helping make this immediate sharing of information available so that, you know, strategic decisions can be made based on the data and the information that this remote workforce has available to them. And so, you know, helping connect those groups is a key piece of, I think, where we see work going in the future. What if some >> of the innovations, because one thing is that we're power uses of G sweet disclosure, we use G sweet, happy customers. The productivity has always been a big one stand up very easily. Don't need it. Get search all this great. All these great features. But as people keep using it, you guys are innovating more. What of the key design and user experience? Innovations to help people remember more productive because no males not going away. You've got good filtering. What if some of the new things >> right, Right. Well, you know, I think I certainly a hot word, right? But that is something where we see, you know, plays a key role in the enterprise. Because what we found through a lot of the user research that my team has done and also just largely in the industry, is that people categorized their work into two things. One is kind of repetitive, mundane work that the things that they have to do but they don't really enjoy and the other would be their core work. That, they see, is their intellectual contribution that builds their profile, builds their reputation, makes the marketable, unemployable and so on. And so if you look at that category of that repetitive work hey, I can play a really amazing role in helping alleviate that mundane, repetitive work. And so, you know, great example of that. A smart compose which hopefully you views on. So what we look at is things like, say, a salutation in an email where you have to think about who are you addressing? How do you want to address some? How do you spell their name? We can alleviate that and make your composition much faster. S o The exciting announcement that we had today was that we are leveraging the Google assistant. So the assistant that you're used to using at home via your home devices are on your phone and we're connecting that to your Google calendar. And so you'LL be able to ask your assistant what you have on your schedule. You know what's ahead of you during your day. Be able to do that on the go. So, you know, I think in general one of the unique opportunities that we have with G suite is not only I, but taking these products that consumers know in love and bringing them into the enterprise. And so we see that that helps people adopted understand the products, but also just brings that like consumer grade simplicity and elegance in the design into the enterprise, which brings joy to the workplace. >> You talk about this kind of new vision of of how you're gonna work. And I I first started. It was introduced with the sweet because of collaboration features. I mean, to this day, if somebody wants to be to edit a document, if it's not in Google docks, I'm going to look at it. >> Not gonna tell >> you I'm not going to do when I got it. You get it? It's just a waste of time. So I want to work faster. Smarter? I want more productive. I wanted to be secure. And the great thing is, these features just show up. Yes. Yeah. You call that smart? Composed. I call it, finish my thought. So. So paint a vision of what that future of work looks like. >> Yeah, well, I mean, certainly we see that work is getting more distributed. Work is getting more mobile. You know, we see more and more that work forces are in many different locations, not just all together in one office. So what excites me about these tools is I really see them in ways that we kind of build relationships amongst colleagues that may not get to spend face to face time together. So whether that's through video conferencing, whether that's through chat, all of these tools play a critical role in really building connective ity and culture of a team so that they can do their best work together. And so I really think of them not just a CZ like productivity tools, but as relationship building tools on DH. So I think the more that the tools can almost just help facilitate humans connecting and communicating. That's when we're really going to elevate the way that people can work together. >> I think cloud is so disrupted. We've been talking all today and yesterday around how the disruptive business miles changed with SAS and Cloud and databases from databases to the front end and one of the things that we've seen over the years. The trends is O Cloud. First Mobile first, first Mobile first and cloud First data first. But one of the things we're seeing is that no one's really cracked the code yet on virtual First, where companies now could be virtual. You don't really need maybe even need an office for me when you say virtual first. That means having an HR app that's designed for remote and distributed work teams. This's becoming a trend. Now we're starting to see some visibility around this new virtual first. >> Yeah, you guys look >> at it that way You guys have any conversation about? Can you share any reaction to that concept of virtual first companies where the processes were tailored for those remote work forces that might gather for meetings physical face to face, but then have to go back and be digital? Yeah, it's on that. >> Uh, Well, yeah. I mean, I think it goes back. Tio, this distributed idea, right? People are working in different places, but I think also different time place an element as well to solve, you know, speak for Google. In particular, we have a global team, right? Which means my team is working on different time zones. It's different, you know, different places as well. So you have to find kind of like you said that virtual way to connect. It's definitely something that we're seeing. I don't know that I have anything specific to comment on it this time, and it's definitely a trend that we're aware of. How >> about you? I designed and user experience what some of the cutting edge techniques that are emerging that you're seeing that's working that you're doubling down on. Can you share some insight into what u ex think customers and users like? >> Sure, Well, I mean, I think one of the big thing is voice input, right? And so you hear a lot about conversational You y is certainly very much an emerging discipline within the field. So, you know, when I started this career path, it was all about pixels on a screen and how you might move and manipulate those pixels and interact with them. But now, with all the voice to text capability, it's really about how can you communicate in an interactive way with digital experience? But you don't necessarily have to use your hands right. You don't necessarily have to have an input device like a mouse or a keyboard, which is a really exciting space, right, because it also opens up a world of, you know, ways that we can bring in more diverse workforce together through assistive technology and accessibility features. Right? So one of the things that I was excited to demonstrate today eyes the transcription capability within a meeting. So using hangouts meet you'LL be able to transcribe the meeting and have that show up on text on the screen, which helps people with varying ways that they might want to engage, be able to engage with the conversation right >> there. Just taking notes >> first is taking the right person. You >> are listening to the whole, you know, recorded video aft. The fact, Yeah, yeah, time consuming. >> Absolutely. You could look at a transcription. So I do think that, like interaction, is going to be less necessarily about using a device that helps you interact and more about using a natural interface like a conversation. >> We had a highlight reel for the meetings. That >> way you get the hard life. That's machine learning could come in. I was asking about the inbox before. What did you learn from that initiative? What do you carrying over what could use his expect? >> Yeah, well, I mean, inbox certainly was a great way for us to experiment and try out different features. There was a lot that we learn from that product. Onda lot of it. We have brought over ways that we kind of come prioritized your messages. Help kind of remind you what to get back Teo and categorize them. And those are all things that we've learned from inbox and we'LL continue to carry for it and it to Gino >> One of things we hear all the time that we've been covering Google clouds. Really, since the beginning, security has always been a big part of it. One things that you guys do that I like is identifying malicious e mails. Right? So talk about how you guys interface because also, you've got a little warning. Gotta warn users. Well, maybe a visual thing as well. But also this tech involved, right? Security's a huge concern for fishing. Spear fishing, Right, So we're talking about that. >> What's fantastic about what we could do a female is like I mentioned this morning. This is a product that, you know, I think over one point five billion people use right, which means that our machine learning on that data is incredibly powerful. And that's how we're able to detect malicious e mails and protect you from them and also warn you. And it's where design plays a role, too, because, like you may have seen it, I know it for myself. I rarely see them, but when I d'Oh, there's a big red banner at the top of the email that warns you that this is an email you should probably be cautious around, right? Eso ITT's were designed plays a role in security. But also our technology really is, you know, kind of far above on. You know what >> you do notice? It's like, Are you sure you want to hit? Send this makes your right. Thank you. Thank >> you. The productivity is is also a double edged sword. You guys have been so good with filtering. I can't use the excuse almost being my spam folder. You guys do a great job of filtering out spam, and it's kind of killing the newsletter business. But there's a lot of stuff that you guys categorize this this kind of again back to the collective intelligence across the billions of signals or users. How do you guys look at that? What's the Can you share some insight on how that works is their secret sauce is there, You know, because you've got spam, you got, you know, not urgent. You got a ways to kind of bring all that out >> Yeah. You know, I'm probably not the best to comment on how that all works, you know, coming from or is it a secret arrest after >> some machine learning? >> So that's an element. But, you know, essentially, what we want to do is make sure that your most important messages are in the foreground. And then you Khun, respond to the other messages when you have the right time and you want to address this thing. So you know, I find for me it's actually useful to go through, and I'm in that mindset like maybe it's a Sunday morning while I'm having my lot go through the newsletters and see the things that I want to catch in Terms of promotions are offers things like that, and I like being able to compartmentalize my time that way. One of >> the nice things that I noticed that you guys a collective intelligence, always a good thing that's where data comes in is that you have these now reminded. Sometimes I see some stuff on my email or says, Hey, you might want to pay attention this evening. >> A little >> kind of pops up the nudge. Is that new? When does that come out. Is that something that's been around >> something that's been out for a bit? I don't remember specifically when we launched it, but it was probably in the last few months, kind of time frame. But yeah, that's another way that we want to make sure that you're not missing important messages. I find it incredibly useful at work because there are those messages that I read, and I think I'm going to respond right away, but something to divert me to something else. And then I pushes down the list, so I find that the accuracy on this is amazing as well. >> About search of discovery I was just one of the benefits of of G Suite is across the board surgeon. Cross correlation. Any innovations there? Any new kind of techniques that you're seeing around search and layout holders is going because anything new there were thinking around that. >> I spoke a bit this morning about clouds search, which is, you know, a product that we launched about two years ago and that really, that enables businesses bring the power of Google search into their business, and it's also a standalone products. So if businesses aren't totally ready to make the move to G suite. They can kind of dip a toe in the water by trying search within their business on DH. Then what was exciting that we announced today is we now allow third party connectivity, so clouds search will not just searched. Your corpus of G sweet data are Google data. It will search all types of data at your company. So you know, including things like cells for us or SAPI data on. So that means that now, for the end user benefit, they can search all of the digital assets at their company and all the people and get those results in one place >> because, I mean, I know I personally creating data faster than I could manage it. So having a powerful search like that, So that sounds like was gonna ask you that sounds like you help how you'LL help use your solve that problem. Yeah, absolutely. So that's a product that I can purchase a standalone you completely standalone. Whatever data I want >> all the data within your business. Yeah, and, you know, based on our research, we find that people spend an inordinate, inordinate amount of time at work, searching for information, right? So we can help cut down that time and help them find the thing that they need That saves people that kind of time at work. >> How do you price it is for users that there's a terabyte or >> I have to get back? >> Don't know. Don't >> know off the top >> of citrus and I'm ready to buy a castle only objective. Come on. Any >> question for you on a CZ you look at the Enterprise is a big enterprise. Focus. What have you learned in dealing with the enterprise? Because great born in the clouds standing up Jeez, we, like we've done ten years ago on then certainly won't get the corporate account been great for our business. But as enterprising had the legacy stuff, whether Microsoft outlook or whatever they have existing stuff that they're used to. What have you learned dealing with the enterprise either? Integration. Sarah experienced What? Can you share any insights to some of those learnings? >> Yeah, absolutely. I mean so one of the things that's tantamount the enterprises interoperability. And so we've been really focused on ensuring that the sweet works well with other products in the enterprise, and I think that is a continuing trend way. See more and more when we speak with our customers. They're not looking for a one size fits all solution for all of their software needs. They understand now that really employees have a lot more control and influence on the tools that they want to use on DH. That's where you really looking at. You know, an employee will try to seek out the tool that they think is the best user experience, and that's what they want to use in the work place. And so that means the employer, the enterprise has to be much more nimble about how they might put a complimentary group of tools together. Eh? So we've been very, very focused on ensuring that our products work well with other products, including Microsoft, but including, you know, other video conferencing solutions, hardware solutions and so on. >> Security. Something neat. Thanks so much for sharing the inside. The update on G Suite. Final question for him. Curious because you're going unique position. Vice president of U Ex share what your job is. What do you do on a day to day basis? There's through the day in the life for a year in the life. What do you work on? What's in the projects? What do your objective? What do you do for your job? Specifically? Were the key things? >> Yeah. I mean, the best part of my job is I get to be, you know, really close with our customers and users. And I see my job is kind of like cheap chief. Empathize, er right. And so really understanding the human need behind you know, users and what they need to accomplish. And I spoke today about one of the most rewarding aspects is helping people accomplish their most important goals. And that could be in their personal life. It could be for education on it could be in the workplace is well, too. And so for us, like my team does a lot of user research and design to understand. What are those big bulls that people have? What is the friction that they have in accomplishing those goals? And then how can our tools solve those problems for them and make a frictionless experience that brings delight and helps him accomplish great things? >> You're like a life coaching a psychologist, same time. Hear my problems? Amy, Thank you so much for sharing the inside. Great. Inside here in the Cube on the U ex behind G suite. Really successful platform. I've seen innovation on Web mail taking to a home of the level now into the enterprise. Excuse coverage here on the the show floor of Google Cloud. Next. I'm John for a day. Volonte, stay with us for more coverage after this short break.

>> Announcer: Live from San Francisco, it's theCUBE, covering Google Cloud Next '19. Brought to you by Google Cloud, and its ecosystem partners. >> We're back at Google Cloud Next, at the new, improved Moscone Center. This is day two of theCUBE's coverage of Google's big Cloud show. theCUBE is a leader in live tech coverage, my name is Dave Vellante, I'm here with my co-host Stu Miniman. John Furrier is walking the floor, checking out the booth space. Ranga Rangachari is here, he's the Vice President and General Manager of Cloud Storage and hyper-converged infrastructure at Red Hat. Ranga, good to see you again. >> Hi Dave, hi Stu, good to see you again too. >> Thanks for coming on, this show it's, it's growing nicely, good thing Moscone is new and improved. How's the show going for you? >> Show's going really good. I just had a chance to walk around the booths and a lot of interesting conversations and, the Red Hat booth too, there've been a lot of interesting conversations with customers. >> A lot of tailwinds these days for Red Hat. We talk about that a lot on theCUBE, this whole notion of hybrid cloud, you guys have been on that since the early days. >> Yeah. >> Multi-cloud, omni-cloud, hyper-converged infrastructure, it's in your title. It's like that all the moons are lining up for you guys, you know is it just luck, skill, great predictions powers, what's your take? >> Well, I mean, I think it's a combination of those, but more importantly, it's about listening to our customers. I think that's what gives us, today, the permission to talk to our customers about some of these things they're doing, because when we talk to them, it's not just about solving today's problems, but also where they're headed, and anticipating where they're going, and the ability to meet their needs. So is, I think. >> So the Google partnership, we were talking earlier, it started 10 years ago with the hypervisor. >> Yup. >> And it's really evolved. Where is it today, from your perspective? >> Well, I think it continues to, it continues to cooperate in the technical community very well, and a couple of data points, one is on Kubernetes, that started four, five years ago, and that's going really strong. But more importantly, as the industry matures, there are, what I would call, special interest groups that are starting to emerge in the Kubernetes community. One thing that we are paying very close attention to is the storage SIG, which is the ability to federate storage across multiple clouds, and how do you do it seamlessly within the framework of Kubernetes, as opposed to trying to create a hack, or a one-off that some vendors attempted to do. So we try to take a very wholistic view of it, and make sure, I mean the industry we are in is trying to drive volumes, and volumes drives standards, so I think we pay very, very close attention-- >> And the objective there is leave the data in place if possible, provide secure access and fast access, provide high-speed data movement if necessary, protect the data in motion. That is a complex problem. >> It is, and that's why I think it's very important that the community together solves the problem, not just one vendor. But it's about how do you facilitate, the holy grail is how do you facilitate data portability and application portability across these hybrid clouds. And a lot of the things that you talked about are part and parcel of that, but what users don't wanna do is stitch them together. They want a simple, easy way. And most common example that we often get asked is can I migrate my data from one cloud to the other, from on-prem to a public cloud beta based on certain policies. That's a prototypical example of how federated storage and other things can help with that. >> Ranga, bring us inside some of those customer conversations, 'cause we talk on theCUBE, we go back to, customers always say I want multi-vendor, yes, I don't want lock-in, portability is a good thing, but at the end of the day, some of these things, if it's some science experiment or if it's difficult, well, sometimes it's easier just to kind of stick on a similar environment. We know the core of Red Hat, it's if I build on top of rail, then I know it can work lots of places, so where are customers at, how does that fit in to this whole discussion of multi-cloud. >> So, what I can kind of give you a perspective of the hybrid cloud, the product strategy that we've been on for better part of a decade now, is around facilitating the hybrid cloud. So if you look at the open, or the storage nature of the data nature of the conversations, it's almost two sides of the same coin. Which is, the developers want storage to be invisible. They don't wanna be in the business of stitching their lungs and their zone masking all that stuff. But yet at the same time they want storage to be ubiquitous. So, they want it to be invisible, they want it to be ubiquitous. So that's one of the key themes that we are in from our customer. >> Come on, Ranga, you guys are announcing storage list this year, right? >> Yeah, (laughs) exactly. (laughs) So that's a great point. The other part that we are also seeing from our customer conversations is, I think, let me give you, kind of the Red Hat inside out perspective. Is any products, any thing that we release to the market, the first filter that we run through is will it help our customers with our open hybrid cloud journey? So that kind of becomes the filter for any new features we add, any go-to-market motion, so that there is a tremendous amount of impedance match if you will. Between where we're going and how customers can succeed with their open hybrid cloud journey. >> So, in thinking about some of the discussions you're having with customers on their hybrid cloud strategy, specifically, what are those conversations like, what are the challenges that they're having? It's a maturity spectrum, obviously, but what are you seeing at each level of the spectrum, and where are some of those execution, formulation and execution challenges? >> So, as the industry evolves and the technology matures, the conversation change, and 12, 24 months ago it was a dramatically different conversation. It was an all around help me get there. Now the conversation is people really understand, and most of our conversations that we see, and even the other industry players are seeing this, is the conversation starts with on-prem looking out, as opposed to a cloud looking in. So, customers say look I've invested a tremendous amount of assets, intellectual horsepower into building my on-prem infrastructure and make it solid, now give me the degree of freedom for me to move certain workloads to one or many of these public clouds. So that's kind of a huge shift in the conversations we have with the customers. If you click one or a couple of levels below, the conversation talks about things like security as you pointed out. How do you ensure that if I move my workload my overall corporate compliance stuff aren't anywhere compromised. So that's one aspect. The other aspect is manageability. Can it really manage this infrastructure from a proverbial single pane of glass. So now the conversations are less about more theoretical, it's more about I've started the journey help me make this journey successful. >> So when you talk about the perspective of, I've built up this on-prem infrastructure, I've invested a ton it in, and now help me connect, I can see a mindset that would say think cloud first. Of course, the practical reality says I've got all this tactical debt. So how much of that is gonna be a potential pitfall down the road for some of these companies, in your view? >> Well, I think it's not so much of a technical debt. In one way you could call it a technical debt, but the other aspect is how do you really leverage the investment that you've made without having to just say well I'm gonna do things differently. So, that's why I think the conversations we have with our customers are mutually beneficial, because we can help them, but the same token they can help us understand where some of the road blocks are. And through our products, through our services, we can help them circumvent or mitigate some of those-- >> And those assets aren't depreciated on the books, they've gotta get a return on them, right? >> So, Ranga, we know that one of the areas that Red Hat and Google end up working a lot together is in the Cloud Native Computing Foundation. >> Yep. >> Bring us up to speed as to where we are with that storage discussion, 'cause I think back to when Docker launched it was oh, it's gonna be wonderful and everything, but we all live through virtualization, and we had to fix networking and storage challenges here, and networking seemed to go a little further along and there's been a few different viewpoints as to how storage should be looked at in the containerized and the Kubernetes SDO world that we're moving towards today. >> So one example that illustrates storage being the center of this is there is a project called Rook.io. If you're familiar with this, think of it as kind of sitting between the storage infrastructure and Kubernetes. And that is taking on a tremendous amount of traction, not just in the community, but even within the CNCF. I could be wrong here, but my understanding it's a project that's in incubation phase right now. So we are seeing a lot of industry commitment to that Rook project, and you're gonna see real, live use cases where customers are now able to fulfill the vision of data portability and storage portability across these multiple hybrid clouds. >> So Kubernetes is obviously taking off, although again, it's a maturity level. Some customers are diving in, and others maybe not so much. What are you seeing is some of the potential blockers, how are people getting started? Can you just download the code and go? What are you seeing there? >> That's a very interesting question, because we look at it as projects versus products. And, Kubernetes is a project. Phenomenal amount of velocity, phenomenal amount of innovation. But once you deploy it in your production environment, things like security, things like life cycle management, all those things have to be in place before somebody deploys it. That's why, in OpenShift you've seen the tremendous amount of market acceptance we've have with OpenShift is a proof point that it is kind of the best Kubernetes out there, because it's enterprise ready, people can deploy it, people can use it, people can scale with it, and not be worried about things like life cycle management, things like security, all the things that come into play when you deal with an upstream project. So, what we've seen from a customer basis, people start to dabble, and they'll look at Kubernetes, what's going on, and understand where the areas of innovation are. But once they start to say look I've got it deployed for some serious workloads, they look at a vendor who can provide all the necessary ingredients for them to be successful. >> We're having a good discussion earlier about customer's perspectives, I wanna get as much out of that asset as I possibly can. You said something that interested me. I wanna go back to it. Is customers want options to be able to migrate to various clouds. My question is do you sense that that's because they wanna manage their risk, they want an exit strategy? Or, are they actively moving more than once. Maybe they wanna go once and then run in the cloud. Or are you seeing a lot of active movement of that data? >> I think the first order of bit in those discussions that are about the workloads, What workload do they wanna run? And once they decide this is the, for instance, with the Google Cloud, with the MLAI type of workloads, lend themselves very well to the Google Cloud infrastructure. So when a customer says look this is the workload I wanna run on-prem, but I want the elastic capability for me to run on one of these public clouds, often the decision criteria seems to be what workload it is and where's the best place to run it in. And then, you know, the rest of the stuff comes into play. >> So, Ranga, let's step back for a second. I come out of this show, Google Cloud this year, and I'm hearing open, multi-cloud, reminds me of words I've heard going to Red Hat, some every year. Help us to kind of squint through a little bit as to where Red Hat sits in the customer. If I'm the c-suite of an enterprise customer day, where Red Hat fits in the partnership with customers, and where the partners fit into that overall story. >> So, our view is let's look at it customer end. And practically every customer that we talk to wants to embark on an open hybrid cloud storage. And I wanna kind of stress on the open part of it, because it's the easier way to say okay let me go build a hybrid cloud. The more difficult part is how do you facilitate it through open hybrid cloud story. And that's the march, if you will, that we've been on for the last five plus years. And, that business strategy and the technology strategy has not, we've been unwavering in that. And, the partners are and they say we truly believe that for us to be successful, for our customers to be successful, we need an ecosystem of partners. And the cloud providers are absolutely a critical ingredient and a critical component of the overall strategy, and I think together, with our partners, and our core technology, and our go-to-market routes, we think we can really solve our customers, we are solving them today, and we think we can continue to solve them over time. >> You talk about open, open has a lot of different definitions. And again it's suspected UNIX used to be open. (laughs) I see that potentially as one, real solid differentiator of Red Hat. I mean, your philosophy on open. What do you see as your differentiators in the marketplace? >> Well, I think the first is obviously open like you said, the second part is, I think I hinted upon it earlier, which is, projects are good. I think they are almost a fountain and of ideas and things, but I think where we spend a tremendous amount of hours of energy is to transform it from the upstream project into a product. And if you go back, Red Hat Linux, I think we've shown that Linux was in the same kind of state of vibe in other ways, 10, 20 years ago. And I think what we've shown to the industry is by being solely committed and focused on make these projects enterprise ready, I think we've shown the market leading the way, and making it successful. So I think for us, the next wave, whether it's Kubernetes, whether it's other things, it's a very similar recipe book, nothing dramatically different, but fundamentally what we want to do is help our customers take advantage of those innovations, but yet not compromise on what they need in their enterprise data centers. >> The recipe book is similar, but you've gotta make bets. You've made some pretty good bets over the years. >> Yep. >> We could debate about OpenStack, but I mean, even there. But that's not an easy thing for an open source company to do. 'Cause you've gotta pick your poison, you have to provide committers, what's the secret sauce there? >> Well, I think, first off, I think the number one secret sauce from our perspective is add more technical and intellectual horsepower to these communities. And, not so much for the sake of community, it's about does it solve a real business problem for our customers? That's the way we go about it because in the open source community, I don't even know, hundreds of thousands of open source projects are out there. And we pay, and our office of the CTO pays very close attention to all the projects out there, identify the ones that have promise, not just from our perspective but from customers' perspective, and invest in those areas. And a lot of them have succeeded, so we think we'll do well in that. >> Alright, so, Ranga, one of the biggest announcements this week is Anthos from Google. Wanna get your viewpoint as to where that fits. >> I think it's a good announcement, I haven't read through all the details, but part of it is I think it validates, to a certain extent, what Red Hat has been talking about for the last five, seven years. Which is you need a unified way to deploy, manage, provision your infrastructure, not just on public clouds, but a seamless way to connect to the on-prem. And I think Anthos is a validation of how we've been thinking about the work. So we think it's great. We think it's really good. >> Ranga Rangachari thanks so much for coming back on theCUBE >> Thank you, David! >> It's always a pleasure. >> Thank you again, Stu. >> Have a great Red Hat summit coming up in early May, theCUBE will be there, Stu will be co-hosting. You're watching theCUBE, day two of Google Cloud Next 2019 from Moscone. We'll be right back. (upbeat music)

>> 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.