from the cube studios in Palo Alto in Boston bringing you data-driven insights from the cube and ETR this is breaking analysis with Dave vellante the ascendancy of AWS under the leadership of Andy jassy was marked by a tsunami of data and corresponding cloud services to leverage that data now those Services they mainly came in the form of Primitives I.E basic building blocks that were used by developers to create more sophisticated capabilities AWS in the 2020s being led by CEO Adam solipski will be marked by four high-level Trends in our opinion one A Rush of data that will dwarf anything we've previously seen two a doubling or even tripling down on the basic elements of cloud compute storage database security Etc three a greater emphasis on end-to-end integration of AWS services to simplify and accelerate customer adoption of cloud and four significantly deeper business integration of cloud Beyond it as an underlying element of organizational operations hello and welcome to this week's wikibon Cube insights powered by ETR in this breaking analysis we extract and analyze nuggets from John furrier's annual sit-down with the CEO of AWS we'll share data from ETR and other sources to set the context for the market and competition in cloud and we'll give you our glimpse of what to expect at re invent in 2022. now before we get into the core of our analysis Alibaba has announced earnings they always announced after the big three you know a month later and we've updated our Q3 slash November hyperscale Computing forecast for the year as seen here and we're going to spend a lot of time on this as most of you have seen the bulk of it already but suffice to say alibaba's cloud business is hitting that same macro Trend that we're seeing across the board but a more substantial slowdown than we expected and more substantial than its peers they're facing China headwinds they've been restructuring its Cloud business and it's led to significantly slower growth uh in in the you know low double digits as opposed to where we had it at 15 this puts our year-end estimates for 2022 Revenue at 161 billion still a healthy 34 growth with AWS surpassing 80 billion in 2022 Revenue now on a related note one of the big themes in Cloud that we've been reporting on is how customers are optimizing their Cloud spend it's a technique that they use and when the economy looks a little shaky and here's a graphic that we pulled from aws's website which shows the various pricing plans at a high level as you know they're much more granular than that and more sophisticated but Simplicity we'll just keep it here basically there are four levels first one here is on demand I.E pay by the drink now we're going to jump down to what we've labeled as number two spot instances that's like the right place at the right time I can use that extra capacity in the moment the third is reserved instances or RIS where I pay up front to get a discount and the fourth is sort of optimized savings plans where customers commit to a one or three year term and for a better price now you'll notice we labeled the choices in a different order than AWS presented them on its website and that's because we believe that the order that we chose is the natural progression for customers this started on demand they maybe experiment with spot instances they move to reserve instances when the cloud bill becomes too onerous and if you're large enough you lock in for one or three years okay the interesting thing is the order in which AWS presents them we believe that on-demand accounts for the majority of AWS customer spending now if you think about it those on-demand customers they're also at risk customers yeah sure there's some switching costs like egress and learning curve but many customers they have multiple clouds and they've got experience and so they're kind of already up to a learning curve and if you're not married to AWS with a longer term commitment there's less friction to switch now AWS here presents the most attractive plan from a financial perspective second after on demand and it's also the plan that makes the greatest commitment from a lock-in standpoint now In fairness to AWS it's also true that there is a trend towards subscription-based pricing and we have some data on that this chart is from an ETR drill down survey the end is 300. pay attention to the bars on the right the left side is sort of busy but the pink is subscription and you can see the trend upward the light blue is consumption based or on demand based pricing and you can see there's a steady Trend toward subscription now we'll dig into this in a later episode of Breaking analysis but we'll share with you a little some tidbits with the data that ETR provides you can select which segment is and pass or you can go up the stack Etc but so when you choose is and paths 44 of customers either prefer or are required to use on-demand pricing whereas around 40 percent of customers say they either prefer or are required to use subscription pricing again that's for is so now the further mu you move up the stack the more prominent subscription pricing becomes often with sixty percent or more for the software-based offerings that require or prefer subscription and interestingly cyber security tracks along with software at around 60 percent that that prefer subscription it's likely because as with software you're not shutting down your cyber protection on demand all right let's get into the expectations for reinvent and we're going to start with an observation in data in this 2018 book seeing digital author David michella made the point that whereas most companies apply data on the periphery of their business kind of as an add-on function successful data companies like Google and Amazon and Facebook have placed data at the core of their operations they've operationalized data and they apply machine intelligence to that foundational element why is this the fact is it's not easy to do what the internet Giants have done very very sophisticated engineering and and and cultural discipline and this brings us to reinvent 2022 in the future of cloud machine learning and AI will increasingly be infused into applications we believe the data stack and the application stack are coming together as organizations build data apps and data products data expertise is moving from the domain of Highly specialized individuals to Everyday business people and we are just at the cusp of this trend this will in our view be a massive theme of not only re invent 22 but of cloud in the 2020s the vision of data mesh We Believe jamachtagani's principles will be realized in this decade now what we'd like to do now is share with you a glimpse of the thinking of Adam solipsky from his sit down with John Furrier each year John has a one-on-one conversation with the CEO of AWS AWS he's been doing this for years and the outcome is a better understanding of the directional thinking of the leader of the number one Cloud platform so we're now going to share some direct quotes I'm going to run through them with some commentary and then bring in some ETR data to analyze the market implications here we go this is from solipsky quote I.T in general and data are moving from departments into becoming intrinsic parts of how businesses function okay we're talking here about deeper business integration let's go on to the next one quote in time we'll stop talking about people who have the word analyst we inserted data he meant data data analyst in their title rather will have hundreds of millions of people who analyze data as part of their day-to-day job most of whom will not have the word analyst anywhere in their title we're talking about graphic designers and pizza shop owners and product managers and data scientists as well he threw that in I'm going to come back to that very interesting so he's talking about here about democratizing data operationalizing data next quote customers need to be able to take an end-to-end integrated view of their entire data Journey from ingestion to storage to harmonizing the data to being able to query it doing business Intelligence and human-based Analysis and being able to collaborate and share data and we've been putting together we being Amazon together a broad Suite of tools from database to analytics to business intelligence to help customers with that and this last statement it's true Amazon has a lot of tools and you know they're beginning to become more and more integrated but again under jassy there was not a lot of emphasis on that end-to-end integrated view we believe it's clear from these statements that solipsky's customer interactions are leading him to underscore that the time has come for this capability okay continuing quote if you have data in one place you shouldn't have to move it every time you want to analyze that data couldn't agree more it would be much better if you could leave that data in place avoid all the ETL which has become a nasty three-letter word more and more we're building capabilities where you can query that data in place end quote okay this we see a lot in the marketplace Oracle with mySQL Heatwave the entire Trend toward converge database snowflake [ __ ] extending their platforms into transaction and analytics respectively and so forth a lot of the partners are are doing things as well in that vein let's go into the next quote the other phenomenon is infusing machine learning into all those capabilities yes the comments from the michelleographic come into play here infusing Ai and machine intelligence everywhere next one quote it's not a data Cloud it's not a separate Cloud it's a series of broad but integrated capabilities to help you manage the end-to-end life cycle of your data there you go we AWS are the cloud we're going to come back to that in a moment as well next set of comments around data very interesting here quote data governance is a huge issue really what customers need is to find the right balance of their organization between access to data and control and if you provide too much access then you're nervous that your data is going to end up in places that it shouldn't shouldn't be viewed by people who shouldn't be viewing it and you feel like you lack security around that data and by the way what happens then is people overreact and they lock it down so that almost nobody can see it it's those handcuffs there's data and asset are reliability we've talked about that for years okay very well put by solipsky but this is a gap in our in our view within AWS today and we're we're hoping that they close it at reinvent it's not easy to share data in a safe way within AWS today outside of your organization so we're going to look for that at re invent 2022. now all this leads to the following statement by solipsky quote data clean room is a really interesting area and I think there's a lot of different Industries in which clean rooms are applicable I think that clean rooms are an interesting way of enabling multiple parties to share and collaborate on the data while completely respecting each party's rights and their privacy mandate okay again this is a gap currently within AWS today in our view and we know snowflake is well down this path and databricks with Delta sharing is also on this curve so AWS has to address this and demonstrate this end-to-end data integration and the ability to safely share data in our view now let's bring in some ETR spending data to put some context around these comments with reference points in the form of AWS itself and its competitors and partners here's a chart from ETR that shows Net score or spending momentum on the x-axis an overlap or pervasiveness in the survey um sorry let me go back up the net scores on the y-axis and overlap or pervasiveness in the survey is on the x-axis so spending momentum by pervasiveness okay or should have share within the data set the table that's inserted there with the Reds and the greens that informs us to how the dots are positioned so it's Net score and then the shared ends are how the plots are determined now we've filtered the data on the three big data segments analytics database and machine learning slash Ai and we've only selected one company with fewer than 100 ends in the survey and that's databricks you'll see why in a moment the red dotted line indicates highly elevated customer spend at 40 percent now as usual snowflake outperforms all players on the y-axis with a Net score of 63 percent off the charts all three big U.S cloud players are above that line with Microsoft and AWS dominating the x-axis so very impressive that they have such spending momentum and they're so large and you see a number of other emerging data players like rafana and datadog mongodbs there in the mix and then more established players data players like Splunk and Tableau now you got Cisco who's gonna you know it's a it's a it's a adjacent to their core networking business but they're definitely into you know the analytics business then the really established players in data like Informatica IBM and Oracle all with strong presence but you'll notice in the red from the momentum standpoint now what you're going to see in a moment is we put red highlights around databricks Snowflake and AWS why let's bring that back up and we'll explain so there's no way let's bring that back up Alex if you would there's no way AWS is going to hit the brakes on innovating at the base service level what we call Primitives earlier solipsky told Furrier as much in their sit down that AWS will serve the technical user and data science Community the traditional domain of data bricks and at the same time address the end-to-end integration data sharing and business line requirements that snowflake is positioned to serve now people often ask Snowflake and databricks how will you compete with the likes of AWS and we know the answer focus on data exclusively they have their multi-cloud plays perhaps the more interesting question is how will AWS compete with the likes of Specialists like Snowflake and data bricks and the answer is depicted here in this chart AWS is going to serve both the technical and developer communities and the data science audience and through end-to-end Integrations and future services that simplify the data Journey they're going to serve the business lines as well but the Nuance is in all the other dots in the hundreds or hundreds of thousands that are not shown here and that's the AWS ecosystem you can see AWS has earned the status of the number one Cloud platform that everyone wants to partner with as they say it has over a hundred thousand partners and that ecosystem combined with these capabilities that we're discussing well perhaps behind in areas like data sharing and integrated governance can wildly succeed by offering the capabilities and leveraging its ecosystem now for their part the snowflakes of the world have to stay focused on the mission build the best products possible and develop their own ecosystems to compete and attract the Mind share of both developers and business users and that's why it's so interesting to hear solipski basically say it's not a separate Cloud it's a set of integrated Services well snowflake is in our view building a super cloud on top of AWS Azure and Google when great products meet great sales and marketing good things can happen so this will be really fun to watch what AWS announces in this area at re invent all right one other topic that solipsky talked about was the correlation between serverless and container adoption and you know I don't know if this gets into there certainly their hybrid place maybe it starts to get into their multi-cloud we'll see but we have some data on this so again we're talking about the correlation between serverless and container adoption but before we get into that let's go back to 2017 and listen to what Andy jassy said on the cube about serverless play the clip very very earliest days of AWS Jeff used to say a lot if I were starting Amazon today I'd have built it on top of AWS we didn't have all the capability and all the functionality at that very moment but he knew what was coming and he saw what people were still able to accomplish even with where the services were at that point I think the same thing is true here with Lambda which is I think if Amazon were starting today it's a given they would build it on the cloud and I think we with a lot of the applications that comprise Amazon's consumer business we would build those on on our serverless capabilities now we still have plenty of capabilities and features and functionality we need to add to to Lambda and our various serverless services so that may not be true from the get-go right now but I think if you look at the hundreds of thousands of customers who are building on top of Lambda and lots of real applications you know finra has built a good chunk of their market watch application on top of Lambda and Thompson Reuters has built you know one of their key analytics apps like people are building real serious things on top of Lambda and the pace of iteration you'll see there will increase as well and I really believe that to be true over the next year or two so years ago when Jesse gave a road map that serverless was going to be a key developer platform going forward and so lipsky referenced the correlation between serverless and containers in the Furrier sit down so we wanted to test that within the ETR data set now here's a screen grab of The View across 1300 respondents from the October ETR survey and what we've done here is we've isolated on the cloud computing segment okay so you can see right there cloud computing segment now we've taken the functions from Google AWS Lambda and Microsoft Azure functions all the serverless offerings and we've got Net score on the vertical axis we've got presence in the data set oh by the way 440 by the way is highly elevated remember that and then we've got on the horizontal axis we have the presence in the data center overlap okay that's relative to each other so remember 40 all these guys are above that 40 mark okay so you see that now what we're going to do this is just for serverless and what we're going to do is we're going to turn on containers to see the correlation and see what happens so watch what happens when we click on container boom everything moves to the right you can see all three move to the right Google drops a little bit but all the others now the the filtered end drops as well so you don't have as many people that are aggressively leaning into both but all three move to the right so watch again containers off and then containers on containers off containers on so you can see a really major correlation between containers and serverless okay so to get a better understanding of what that means I call my friend and former Cube co-host Stu miniman what he said was people generally used to think of VMS containers and serverless as distinctly different architectures but the lines are beginning to blur serverless makes things simpler for developers who don't want to worry about underlying infrastructure as solipsky and the data from ETR indicate serverless and containers are coming together but as Stu and I discussed there's a spectrum where on the left you have kind of native Cloud VMS in the middle you got AWS fargate and in the rightmost anchor is Lambda AWS Lambda now traditionally in the cloud if you wanted to use containers developers would have to build a container image they have to select and deploy the ec2 images that they or instances that they wanted to use they have to allocate a certain amount of memory and then fence off the apps in a virtual machine and then run the ec2 instances against the apps and then pay for all those ec2 resources now with AWS fargate you can run containerized apps with less infrastructure management but you still have some you know things that you can you can you can do with the with the infrastructure so with fargate what you do is you'd build the container images then you'd allocate your memory and compute resources then run the app and pay for the resources only when they're used so fargate lets you control the runtime environment while at the same time simplifying the infrastructure management you gotta you don't have to worry about isolating the app and other stuff like choosing server types and patching AWS does all that for you then there's Lambda with Lambda you don't have to worry about any of the underlying server infrastructure you're just running code AS functions so the developer spends their time worrying about the applications and the functions that you're calling the point is there's a movement and we saw in the data towards simplifying the development environment and allowing the cloud vendor AWS in this case to do more of the underlying management now some folks will still want to turn knobs and dials but increasingly we're going to see more higher level service adoption now re invent is always a fire hose of content so let's do a rapid rundown of what to expect we talked about operate optimizing data and the organization we talked about Cloud optimization there'll be a lot of talk on the show floor about best practices and customer sharing data solipsky is leading AWS into the next phase of growth and that means moving beyond I.T transformation into deeper business integration and organizational transformation not just digital transformation organizational transformation so he's leading a multi-vector strategy serving the traditional peeps who want fine-grained access to core services so we'll see continued Innovation compute storage AI Etc and simplification through integration and horizontal apps further up to stack Amazon connect is an example that's often cited now as we've reported many times databricks is moving from its stronghold realm of data science into business intelligence and analytics where snowflake is coming from its data analytics stronghold and moving into the world of data science AWS is going down a path of snowflake meet data bricks with an underlying cloud is and pass layer that puts these three companies on a very interesting trajectory and you can expect AWS to go right after the data sharing opportunity and in doing so it will have to address data governance they go hand in hand okay price performance that is a topic that will never go away and it's something that we haven't mentioned today silicon it's a it's an area we've covered extensively on breaking analysis from Nitro to graviton to the AWS acquisition of Annapurna its secret weapon new special specialized capabilities like inferential and trainium we'd expect something more at re invent maybe new graviton instances David floyer our colleague said he's expecting at some point a complete system on a chip SOC from AWS and maybe an arm-based server to eventually include high-speed cxl connections to devices and memories all to address next-gen applications data intensive applications with low power requirements and lower cost overall now of course every year Swami gives his usual update on machine learning and AI building on Amazon's years of sagemaker innovation perhaps a focus on conversational AI or a better support for vision and maybe better integration across Amazon's portfolio of you know large language models uh neural networks generative AI really infusing AI everywhere of course security always high on the list that reinvent and and Amazon even has reinforce a conference dedicated to it uh to security now here we'd like to see more on supply chain security and perhaps how AWS can help there as well as tooling to make the cio's life easier but the key so far is AWS is much more partner friendly in the security space than say for instance Microsoft traditionally so firms like OCTA and crowdstrike in Palo Alto have plenty of room to play in the AWS ecosystem we'd expect of course to hear something about ESG it's an important topic and hopefully how not only AWS is helping the environment that's important but also how they help customers save money and drive inclusion and diversity again very important topics and finally come back to it reinvent is an ecosystem event it's the Super Bowl of tech events and the ecosystem will be out in full force every tech company on the planet will have a presence and the cube will be featuring many of the partners from the serial floor as well as AWS execs and of course our own independent analysis so you'll definitely want to tune into thecube.net and check out our re invent coverage we start Monday evening and then we go wall to wall through Thursday hopefully my voice will come back we have three sets at the show and our entire team will be there so please reach out or stop by and say hello all right we're going to leave it there for today many thanks to Stu miniman and David floyer for the input to today's episode of course John Furrier for extracting the signal from the noise and a sit down with Adam solipski thanks to Alex Meyerson who was on production and manages the podcast Ken schiffman as well Kristen Martin and Cheryl Knight helped get the word out on social and of course in our newsletters Rob hoef is our editor-in-chief over at siliconangle does some great editing thank thanks to all of you remember all these episodes are available as podcasts wherever you listen you can pop in the headphones go for a walk just search breaking analysis podcast I published each week on wikibon.com at siliconangle.com or you can email me at david.valante at siliconangle.com or DM me at di vallante or please comment on our LinkedIn posts and do check out etr.ai for the best survey data in the Enterprise Tech business this is Dave vellante for the cube insights powered by ETR thanks for watching we'll see it reinvent or we'll see you next time on breaking analysis [Music]

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR, this is Breaking Analysis with Dave Vellante. >> This past week we saw two of the Big 3 cloud providers present the latest update on their respective cloud visions, their business progress, their announcements and innovations. The content at these events had many overlapping themes, including modern cloud infrastructure at global scale, applying advanced machine intelligence, AKA AI, end-to-end data platforms, collaboration software. They talked a lot about the future of work automation. And they gave us a little taste, each company of the Metaverse Web 3.0 and much more. Despite these striking similarities, the differences between these two cloud platforms and that of AWS remains significant. With Microsoft leveraging its massive application software footprint to dominate virtually all markets and Google doing everything in its power to keep up with the frenetic pace of today's cloud innovation, which was set into motion a decade and a half ago by AWS. Hello and welcome to this week's Wikibon CUBE Insights, powered by ETR. In this Breaking Analysis, we unpack the immense amount of content presented by the CEOs of Microsoft and Google Cloud at Microsoft Ignite and Google Cloud Next. We'll also quantify with ETR survey data the relative position of these two cloud giants in four key sectors: cloud IaaS, BI analytics, data platforms and collaboration software. Now one thing was clear this past week, hybrid events are the thing. Google Cloud Next took place live over a 24-hour period in six cities around the world, with the main gathering in New York City. Microsoft Ignite, which normally is attended by 30,000 people, had a smaller event in Seattle, in person with a virtual audience around the world. AWS re:Invent, of course, is much different. Yes, there's a virtual component at re:Invent, but it's all about a big live audience gathering the week after Thanksgiving, in the first week of December in Las Vegas. Regardless, Satya Nadella keynote address was prerecorded. It was highly produced and substantive. It was visionary, energetic with a strong message that Azure was a platform to allow customers to build their digital businesses. Doing more with less, which was a key theme of his. Nadella covered a lot of ground, starting with infrastructure from the compute, highlighting a collaboration with Arm-based, Ampere processors. New block storage, 60 regions, 175,000 miles of fiber cables around the world. He presented a meaningful multi-cloud message with Azure Arc to support on-prem and edge workloads, as well as of course the public cloud. And talked about confidential computing at the infrastructure level, a theme we hear from all cloud vendors. He then went deeper into the end-to-end data platform that Microsoft is building from the core data stores to analytics, to governance and the myriad tooling Microsoft offers. AI was next with a big focus on automation, AI, training models. He showed demos of machines coding and fixing code and machines automatically creating designs for creative workers and how Power Automate, Microsoft's RPA tooling, would combine with Microsoft Syntex to understand documents and provide standard ways for organizations to communicate with those documents. There was of course a big focus on Azure as developer cloud platform with GitHub Copilot as a linchpin using AI to assist coders in low-code and no-code innovations that are coming down the pipe. And another giant theme was a workforce transformation and how Microsoft is using its heritage and collaboration and productivity software to move beyond what Nadella called productivity paranoia, i.e., are remote workers doing their jobs? In a world where collaboration is built into intelligent workflows, and he even showed a glimpse of the future with AI-powered avatars and partnerships with Meta and Cisco with Teams of all firms. And finally, security with a bevy of tools from identity, endpoint, governance, et cetera, stressing a suite of tools from a single provider, i.e., Microsoft. So a couple points here. One, Microsoft is following in the footsteps of AWS with silicon advancements and didn't really emphasize that trend much except for the Ampere announcement. But it's building out cloud infrastructure at a massive scale, there is no debate about that. Its plan on data is to try and provide a somewhat more abstracted and simplified solutions, which differs a little bit from AWS's approach of the right database tool, for example, for the right job. Microsoft's automation play appears to provide simple individual productivity tools, kind of a ground up approach and make it really easy for users to drive these bottoms up initiatives. We heard from UiPath that forward five last month, a little bit of a different approach of horizontal automation, end-to-end across platforms. So quite a different play there. Microsoft's angle on workforce transformation is visionary and will continue to solidify in our view its dominant position with Teams and Microsoft 365, and it will drive cloud infrastructure consumption by default. On security as well as a cloud player, it has to have world-class security, and Azure does. There's not a lot of debate about that, but the knock on Microsoft is Patch Tuesday becomes Hack Wednesday because Microsoft releases so many patches, it's got so much Swiss cheese in its legacy estate and patching frequently, it becomes a roadmap and a trigger for hackers. Hey, patch Tuesday, these are all the exploits that you can go after so you can act before the patches are implemented. And so it's really become a problem for users. As well Microsoft is competing with many of the best-of-breed platforms like CrowdStrike and Okta, which have market momentum and appear to be more attractive horizontal plays for customers outside of just the Microsoft cloud. But again, it's Microsoft. They make it easy and very inexpensive to adopt. Now, despite the outstanding presentation by Satya Nadella, there are a couple of statements that should raise eyebrows. Here are two of them. First, as he said, Azure is the only cloud that supports all organizations and all workloads from enterprises to startups, to highly regulated industries. I had a conversation with Sarbjeet Johal about this, to make sure I wasn't just missing something and we were both surprised, somewhat, by this claim. I mean most certainly AWS supports more certifications for example, and we would think it has a reasonable case to dispute that claim. And the other statement, Nadella made, Azure is the only cloud provider enabling highly regulated industries to bring their most sensitive applications to the cloud. Now, reasonable people can debate whether AWS is there yet, but very clearly Oracle and IBM would have something to say about that statement. Now maybe it's not just, would say, "Oh, they're not real clouds, you know, they're just going to hosting in the cloud if you will." But still, when it comes to mission-critical applications, you would think Oracle is really the the leader there. Oh, and Satya also mentioned the claim that the Edge browser, the Microsoft Edge browser, no questions asked, he said, is the best browser for business. And we could see some people having some questions about that. Like isn't Edge based on Chrome? Anyway, so we just had to question these statements and challenge Microsoft to defend them because to us it's a little bit of BS and makes one wonder what else in such as awesome keynote and it was awesome, it was hyperbole. Okay, moving on to Google Cloud Next. The keynote started with Sundar Pichai doing a virtual session, he was remote, stressing the importance of Google Cloud. He mentioned that Google Cloud from its Q2 earnings was on a $25-billion annual run rate. What he didn't mention is that it's also on a 3.6 billion annual operating loss run rate based on its first half performance. Just saying. And we'll dig into that issue a little bit more later in this episode. He also stressed that the investments that Google has made to support its core business and search, like its global network of 22 subsea cables to support things like, YouTube video, great performance obviously that we all rely on, those innovations there. Innovations in BigQuery to support its search business and its threat analysis that it's always had and its AI, it's always been an AI-first company, he's stressed, that they're all leveraged by the Google Cloud Platform, GCP. This is all true by the way. Google has absolutely awesome tech and the talk, as well as his talk, Pichai, but also Kurian's was forward thinking and laid out a vision of the future. But it didn't address in our view, and I talked to Sarbjeet Johal about this as well, today's challenges to the degree that Microsoft did and we expect AWS will at re:Invent this year, it was more out there, more forward thinking, what's possible in the future, somewhat less about today's problem, so I think it's resonates less with today's enterprise players. Thomas Kurian then took over from Sundar Pichai and did a really good job of highlighting customers, and I think he has to, right? He has to say, "Look, we are in this game. We have customers, 9 out of the top 10 media firms use Google Cloud. 8 out of the top 10 manufacturers. 9 out of the top 10 retailers. Same for telecom, same for healthcare. 8 out of the top 10 retail banks." He and Sundar specifically referenced a number of companies, customers, including Avery Dennison, Groupe Renault, H&M, John Hopkins, Prudential, Minna Bank out of Japan, ANZ bank and many, many others during the session. So you know, they had some proof points and you got to give 'em props for that. Now like Microsoft, Google talked about infrastructure, they referenced training processors and regions and compute optionality and storage and how new workloads were emerging, particularly data-driven workloads in AI that required new infrastructure. He explicitly highlighted partnerships within Nvidia and Intel. I didn't see anything on Arm, which somewhat surprised me 'cause I believe Google's working on that or at least has come following in AWS's suit if you will, but maybe that's why they're not mentioning it or maybe I got to do more research there, but let's park that for a minute. But again, as we've extensively discussed in Breaking Analysis in our view when it comes to compute, AWS via its Annapurna acquisition is well ahead of the pack in this area. Arm is making its way into the enterprise, but all three companies are heavily investing in infrastructure, which is great news for customers and the ecosystem. We'll come back to that. Data and AI go hand in hand, and there was no shortage of data talk. Google didn't mention Snowflake or Databricks specifically, but it did mention, by the way, it mentioned Mongo a couple of times, but it did mention Google's, quote, Open Data cloud. Now maybe Google has used that term before, but Snowflake has been marketing the data cloud concept for a couple of years now. So that struck as a shot across the bow to one of its partners and obviously competitor, Snowflake. At BigQuery is a main centerpiece of Google's data strategy. Kurian talked about how they can take any data from any source in any format from any cloud provider with BigQuery Omni and aggregate and understand it. And with the support of Apache Iceberg and Delta and Hudi coming in the future and its open Data Cloud Alliance, they talked a lot about that. So without specifically mentioning Snowflake or Databricks, Kurian co-opted a lot of messaging from these two players, such as life and tech. Kurian also talked about Google Workspace and how it's now at 8 million users up from 6 million just two years ago. There's a lot of discussion on developer optionality and several details on tools supported and the open mantra of Google. And finally on security, Google brought out Kevin Mandian, he's a CUBE alum, extremely impressive individual who's CEO of Mandiant, a leading security service provider and consultancy that Google recently acquired for around 5.3 billion. They talked about moving from a shared responsibility model to a shared fate model, which is again, it's kind of a shot across AWS's bow, kind of shared responsibility model. It's unclear that Google will pay the same penalty if a customer doesn't live up to its portion of the shared responsibility, but we can probably assume that the customer is still going to bear the brunt of the pain, nonetheless. Mandiant is really interesting because it's a services play and Google has stated that it is not a services company, it's going to give partners in the channel plenty of room to play. So we'll see what it does with Mandiant. But Mandiant is a very strong enterprise capability and in the single most important area security. So interesting acquisition by Google. Now as well, unlike Microsoft, Google is not competing with security leaders like Okta and CrowdStrike. Rather, it's partnering aggressively with those firms and prominently putting them forth. All right. Let's get into the ETR survey data and see how Microsoft and Google are positioned in four key markets that we've mentioned before, IaaS, BI analytics, database data platforms and collaboration software. First, let's look at the IaaS cloud. ETR is just about to release its October survey, so I cannot share the that data yet. I can only show July data, but we're going to give you some directional hints throughout this conversation. This chart shows net score or spending momentum on the vertical axis and overlap or presence in the data, i.e., how pervasive the platform is. That's on the horizontal axis. And we've inserted the Wikibon estimates of IaaS revenue for the companies, the Big 3. Actually the Big 4, we included Alibaba. So a couple of points in this somewhat busy data chart. First, Microsoft and AWS as always are dominant on both axes. The red dotted line there at 40% on the vertical axis. That represents a highly elevated spending velocity and all of the Big 3 are above the line. Now at the same time, GCP is well behind the two leaders on the horizontal axis and you can see that in the table insert as well in our revenue estimates. Now why is Azure bigger in the ETR survey when AWS is larger according to the Wikibon revenue estimates? And the answer is because Microsoft with products like 365 and Teams will often be considered by respondents in the survey as cloud by customers, so they fit into that ETR category. But in the insert data we're stripping out applications and SaaS from Microsoft and Google and we're only isolating on IaaS. The other point is when you take a look at the early October returns, you see downward pressure as signified by those dotted arrows on every name. The only exception was Dell, or Dell and IBM, which showing slightly improved momentum. So the survey data generally confirms what we know that AWS and Azure have a massive lead and strong momentum in the marketplace. But the real story is below the line. Unlike Google Cloud, which is on pace to lose well over 3 billion on an operating basis this year, AWS's operating profit is around $20 billion annually. Microsoft's Intelligent Cloud generated more than $30 billion in operating income last fiscal year. Let that sink in for a moment. Now again, that's not to say Google doesn't have traction, it does and Kurian gave some nice proof points and customer examples in his keynote presentation, but the data underscores the lead that Microsoft and AWS have on Google in cloud. And here's a breakdown of ETR's proprietary net score methodology, that vertical axis that we showed you in the previous chart. It asks customers, are you adopting the platform new? That's that lime green. Are you spending 6% or more? That's the forest green. Is you're spending flat? That's the gray. Is you're spending down 6% or worse? That's the pinkest color. Or are you replacing the platform, defecting? That's the bright red. You subtract the reds from the greens and you get a net score. Now one caveat here, which actually is really favorable from Microsoft, the Microsoft data that we're showing here is across the entire Microsoft portfolio. The other point is, this is July data, we'll have an update for you once ETR releases its October results. But we're talking about meaningful samples here, the ends. 620 for AWS over a thousand from Microsoft in more than 450 respondents in the survey for Google. So the real tell is replacements, that bright red. There is virtually no churn for AWS and Microsoft, but Google's churn is 5x, those two in the survey. Now 5% churn is not high, but you'd like to see three things for Google given it's smaller size. One is less churn, two is much, much higher adoption rates in the lime green. Three is a higher percentage of those spending more, the forest green. And four is a lower percentage of those spending less. And none of these conditions really applies here for Google. GCP is still not growing fast enough in our opinion, and doesn't have nearly the traction of the two leaders and that shows up in the survey data. All right, let's look at the next sector, BI analytics. Here we have that same XY dimension. Again, Microsoft dominating the picture. AWS very strong also in both axes. Tableau, very popular and respectable of course acquired by Salesforce on the vertical axis, still looking pretty good there. And again on the horizontal axis, big presence there for Tableau. And Google with Looker and its other platforms is also respectable, but it again, has some work to do. Now notice Streamlit, that's a recent Snowflake acquisition. It's strong in the vertical axis and because of Snowflake's go-to-market (indistinct), it's likely going to move to the right overtime. Grafana is also prominent in the Y axis, but a glimpse at the most recent survey data shows them slightly declining while Looker actually improves a bit. As does Cloudera, which we'll move up slightly. Again, Microsoft just blows you away, doesn't it? All right, now let's get into database and data platform. Same X Y dimensions, but now database and data warehouse. Snowflake as usual takes the top spot on the vertical axis and it is actually keeps moving to the right as well with again, Microsoft and AWS is dominant in the market, as is Oracle on the X axis, albeit it's got less spending velocity, but of course it's the database king. Google is well behind on the X axis but solidly above the 40% line on the vertical axis. Note that virtually all platforms will see pressure in the next survey due to the macro environment. Microsoft might even dip below the 40% line for the first time in a while. Lastly, let's look at the collaboration and productivity software market. This is such an important area for both Microsoft and Google. And just look at Microsoft with 365 and Teams up into the right. I mean just so impressive in ubiquitous. And we've highlighted Google. It's in the pack. It certainly is a nice base with 174 N, which I can tell you that N will rise in the next survey, which is an indication that more people are adopting. But given the investment and the tech behind it and all the AI and Google's resources, you'd really like to see Google in this space above the 40% line, given the importance of this market, of this collaboration area to Google's success and the degree to which they emphasize it in their pitch. And look, this brings up something that we've talked about before on Breaking Analysis. Google doesn't have a tech problem. This is a go-to-market and marketing challenge that Google faces and it's up against two go-to-market champs and Microsoft and AWS. And Google doesn't have the enterprise sales culture. It's trying, it's making progress, but it's like that racehorse that has all the potential in the world, but it's just missing some kind of key ingredient to put it over at the top. It's always coming in third, (chuckles) but we're watching and Google's obviously, making some investments as we shared with earlier. All right. Some final thoughts on what we learned this week and in this research: customers and partners should be thrilled that both Microsoft and Google along with AWS are spending so much money on innovation and building out global platforms. This is a gift to the industry and we should be thankful frankly because it's good for business, it's good for competitiveness and future innovation as a platform that can be built upon. Now we didn't talk much about multi-cloud, we haven't even mentioned supercloud, but both Microsoft and Google have a story that resonates with customers in cross cloud capabilities, unlike AWS at this time. But we never say never when it comes to AWS. They sometimes and oftentimes surprise you. One of the other things that Sarbjeet Johal and John Furrier and I have discussed is that each of the Big 3 is positioning to their respective strengths. AWS is the best IaaS. Microsoft is building out the kind of, quote, we-make-it-easy-for-you cloud, and Google is trying to be the open data cloud with its open-source chops and excellent tech. And that puts added pressure on Snowflake, doesn't it? You know, Thomas Kurian made some comments according to CRN, something to the effect that, we are the only company that can do the data cloud thing across clouds, which again, if I'm being honest is not really accurate. Now I haven't clarified these statements with Google and often things get misquoted, but there's little question that, as AWS has done in the past with Redshift, Google is taking a page out of Snowflake, Databricks as well. A big difference in the Big 3 is that AWS doesn't have this big emphasis on the up-the-stack collaboration software that both Microsoft and Google have, and that for Microsoft and Google will drive captive IaaS consumption. AWS obviously does some of that in database, a lot of that in database, but ISVs that compete with Microsoft and Google should have a greater affinity, one would think, to AWS for competitive reasons. and the same thing could be said in security, we would think because, as I mentioned before, Microsoft competes very directly with CrowdStrike and Okta and others. One of the big thing that Sarbjeet mentioned that I want to call out here, I'd love to have your opinion. AWS specifically, but also Microsoft with Azure have successfully created what Sarbjeet calls brand distance. AWS from the Amazon Retail, and even though AWS all the time talks about Amazon X and Amazon Y is in their product portfolio, but you don't really consider it part of the retail organization 'cause it's not. Azure, same thing, has created its own identity. And it seems that Google still struggles to do that. It's still very highly linked to the sort of core of Google. Now, maybe that's by design, but for enterprise customers, there's still some potential confusion with Google, what's its intentions? How long will they continue to lose money and invest? Are they going to pull the plug like they do on so many other tools? So you know, maybe some rethinking of the marketing there and the positioning. Now we didn't talk much about ecosystem, but it's vital for any cloud player, and Google again has some work to do relative to the leaders. Which brings us to supercloud. The ecosystem and end customers are now in a position this decade to digitally transform. And we're talking here about building out their own clouds, not by putting in and building data centers and installing racks of servers and storage devices, no. Rather to build value on top of the hyperscaler gift that has been presented. And that is a mega trend that we're watching closely in theCUBE community. While there's debate about the supercloud name and so forth, there little question in our minds that the next decade of cloud will not be like the last. All right, we're going to leave it there today. Many thanks to Sarbjeet Johal, and my business partner, John Furrier, for their input to today's episode. Thanks to Alex Myerson who's on production and manages the podcast and Ken Schiffman as well. Kristen Martin and Cheryl Knight helped get the word out on social media and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE, who does some wonderful editing. And check out SiliconANGLE, a lot of coverage on Google Cloud Next and Microsoft Ignite. Remember, all these episodes are available as podcast wherever you listen. Just search Breaking Analysis podcast. I publish each week on wikibon.com and siliconangle.com. And you can always get in touch with me via email, david.vellante@siliconangle.com or you can DM me at dvellante or comment on my LinkedIn posts. And please do check out etr.ai, the best survey data in the enterprise tech business. This is Dave Vellante for the CUBE Insights, powered by ETR. Thanks for watching and we'll see you next time on Breaking Analysis. (gentle music)

(upbeat music) >> Welcome back to theCUBE's coverage of HPE GreenLake announcements. We're seeing the transition of Hewlett Packard Enterprise as a company, yes they're going all in for as a service, but we're also seeing a transition from a hardware company to what I look at increasingly as a data management company. We're going to talk today to Vishal Lall who's GreenLake cloud services solutions at HPE and Matt Maccaux who's a global field CTO, Ezmeral Software at HPE. Gents welcome back to theCube. Good to see you again. >> Thank you for having us here. >> Thanks Dave. >> So Vishal let's start with you. What are the big mega trends that you're seeing in data? When you talk to customers, when you talk to partners, what are they telling you? What's your optic say? >> Yeah, I mean, I would say the first thing is data is getting even more important. It's not that data hasn't been important for enterprises, but as you look at the last, I would say 24 to 36 months has become really important, right? And it's become important because customers look at data and they're trying to stitch data together across different sources, whether it's marketing data, it's supply chain data, it's financial data. And they're looking at that as a source of competitive advantage. So, customers were able to make sense out of the data, enterprises that are able to make sense out of that data, really do have a competitive advantage, right? And they actually get better business outcomes. So that's really important, right? If you start looking at, where we are from an analytics perspective, I would argue we are in maybe the third generation of data analytics. Kind of the first one was in the 80's and 90's with data warehousing kind of EDW. A lot of companies still have that, but think of Teradata, right? The second generation more in the 2000's was around data lakes, right? And that was all about Hadoop and others, and really the difference between the first and the second generation was the first generation was more around structured data, right? Second became more about unstructured data, but you really couldn't run transactions on that data. And I would say, now we are entering this third generation, which is about data lake houses, right? Customers what they want really is, or enterprises, what they want really is they want structured data. They want unstructured data altogether. They want to run transactions on them, right? They want to use the data to mine it for machine learning purposes, right? Use it for SQL as well as non-SQL, right? And that's kind of where we are today. So, that's really what we are hearing from our customers in terms of at least the top trends. And that's how we are thinking about our strategy in context of those trends. >> So lake house use that term. It's an increasing popular term. It connotes, "Okay, I've got the best of data warehouse "and I've got the best of data lake. "I'm going to try to simplify the data warehouse. "And I'm going to try to clean up the data swamp "if you will." Matt, so, talk a little bit more about what you guys are doing specifically and what that means for your customers. >> Well, what we think is important is that there has to be a hybrid solution, that organizations are going to build their analytics. They're going to deploy algorithms, where the data either is being produced or where it's going to be stored. And that could be anywhere. That could be in the trunk of a vehicle. It could be in a public cloud or in many cases, it's on-premises in the data center. And where organizations struggle is they feel like they have to make a choice and a trade-off going from one to the other. And so what HPE is offering is a way to unify the experiences of these different applications, workloads, and algorithms, while connecting them together through a fabric so that the experience is tied together with consistent, security policies, not having to refactor your applications and deploying tools like Delta lake to ensure that the organization that needs to build a data product in one cloud or deploy another data product in the trunk of an automobile can do so. >> So, Vishal I wonder if we could talk about some of the patterns that you're seeing with customers as you go to deploy solutions. Are there other industry patterns? Are there any sort of things you can share that you're discerning? >> Yeah, no, absolutely. As we kind of hear back from our customers across industries, I think the problem sets are very similar, right? Whether you look at healthcare customers. You look at telco customers, you look at consumer goods, financial services, they're all quite similar. I mean, what are they looking for? They're looking for making sense, making business value from the data, breaking down the silos that I think Matt spoke about just now, right? How do I stitch intelligence across my data silos to get more business intelligence out of it. They're looking for openness. I think the problem that's happened is over time, people have realized that they are locked in with certain vendors or certain technologies. So, they're looking for openness and choice. So that's an important one that we've at least heard back from our customers. The other one is just being able to run machine learning on algorithms on the data. I think that's another important one for them as well. And I think the last one I would say is, TCO is important as customers over the last few years have realized going to public cloud is starting to become quite expensive, to run really large workloads on public cloud, especially as they want to egress data. So, cost performance, trade offs are starting to become really important and starting to enter into the conversation now. So, I would say those are some of the key things and themes that we are hearing from customers cutting across industries. >> And you talked to Matt about basically being able to essentially leave the data where it belongs, bring the compute to data. We talk about that all the time. And so that has to include on-prem, it's got to include the cloud. And I'm kind of curious on the edge, where you see that 'cause that's... Is that an eventual piece? Is that something that's actually moving in parallel? There's lot of fuzziness as an observer in the edge. >> I think the edge is driving the most interesting use cases. The challenge up until recently has been, well, I think it's always been connectivity, right? Whether we have poor connection, little connection or no connection, being able to asynchronously deploy machine learning jobs into some sort of remote location. Whether it's a very tiny edge or it's a very large edge, like a factory floor, the challenge as Vishal mentioned is that if we're going to deploy machine learning, we need some sort of consistency of runtime to be able to execute those machine learning models. Yes, we need consistent access to data, but consistent access in terms of runtime is so important. And I think Hadoop got us started down this path, the ability to very efficiently and cost-effectively run large data jobs against large data sets. And it attempted to work into the source ecosystem, but because of the monolithic deployment, the tightly coupling of the compute and the data, it never achieved that cloud native vision. And so what as role in HPE through GreenLake services is delivering with open source-based Kubernetes, open source Apache Spark, open source Delta lake libraries, those same cloud native services that you can develop on your workstation, deploy in your data center in the same way you deploy through automation out at the edge. And I think that is what's so critical about what we're going to see over the next couple of years. The edge is driving these use cases, but it's consistency to build and deploy those machine learning models and connect it consistently with data that's what's going to drive organizations to success. >> So you're saying you're able to decouple, to compute from the storage. >> Absolutely. You wouldn't have a cloud if you didn't decouple compute from storage. And I think this is sort of the demise of Hadoop was forcing that coupling. We have high-speed networks now. Whether I'm in a cloud or in my data center, even at the edge, I have high-performance networks, I can now do distributed computing and separate compute from storage. And so if I want to, I can have high-performance compute for my really data intensive applications and I can have cost-effective storage where I need to. And by separating that off, I can now innovate at the pace of those individual tools in that opensource ecosystem. >> So, can I stay on this for a second 'cause you certainly saw Snowflake popularize that, they were kind of early on. I don't know if they're the first, but they certainly one of the most successful. And you saw Amazon Redshift copied it. And Redshift was kind of a bolt on. What essentially they did is they teared off. You could never turn off the compute. You still had to pay for a little bit compute, that's kind of interesting. Snowflakes at the t-shirt sizes, so there's trade offs there. There's a lot of ways to skin the cat. How did you guys skin the cat? >> What we believe we're doing is we're taking the best of those worlds. Through GreenLake cloud services, the ability to pay for and provision on demand the computational services you need. So, if someone needs to spin up a Delta lake job to execute a machine learning model, you spin up that. We're of course spinning that up behind the scenes. The job executes, it spins down, and you only pay for what you need. And we've got reserve capacity there. So you, of course, just like you would in the public cloud. But more importantly, being able to then extend that through a fabric across clouds and edge locations, so that if a customer wants to deploy in some public cloud service, like we know we're going to, again, we're giving that consistency across that, and exposing it through an S3 API. >> So, Vishal at the end of the day, I mean, I love to talk about the plumbing and the tech, but the customer doesn't care, right? They want the lowest cost. They want the fastest outcome. They want the greatest value. My question is, how are you seeing data organizations evolve to sort of accommodate this third era of this next generation? >> Yeah. I mean, the way at least, kind of look at, from a customer perspective, what they're trying to do is first of all, I think Matt addressed it somewhat. They're looking at a consistent experience across the different groups of people within the company that do something to data, right? It could be a SQL users. People who's just writing a SQL code. It could be people who are writing machine learning models and running them. It could be people who are writing code in Spark. Right now they are, you know the experience is completely disjointed across them, across the three types of users or more. And so that's one thing that they trying to do, is just try to get that consistency. We spoke about performance. I mean the disjointedness between compute and storage does provide the agility, because there customers are looking for elasticity. How can I have an elastic environment? So, that's kind of the other thing they're looking at. And performance and DCU, I think a big deal now. So, I think that that's definitely on a customer's mind. So, as enterprises are looking at their data journey, those are the at least the attributes that they are trying to hit as they organize themselves to make the most out of the data. >> Matt, you and I have talked about this sort of trend to the decentralized future. We're sort of hitting on that. And whether it's in a first gen data warehouse, second gen data lake, data hub, bucket, whatever, that essentially should ideally stay where it is, wherever it should be from a performance standpoint, from a governance standpoint and a cost perspective, and just be a node on this, I like the term data mesh, but be a node on that, and essentially allow the business owners, those with domain context to you've mentioned data products before to actually build data products, maybe air quotes, but a data product is something that can be monetized. Maybe it cuts costs. Maybe it adds value in other ways. How do you see HPE fitting into that long-term vision which we know is going to take some time to play out? >> I think what's important for organizations to realize is that they don't have to go to the public cloud to get that experience they're looking for. Many organizations are still reluctant to push all of their data, their critical data, that is going to be the next way to monetize business into the public cloud. And so what HPE is doing is bringing the cloud to them. Bringing that cloud from the infrastructure, the virtualization, the containerization, and most importantly, those cloud native services. So, they can do that development rapidly, test it, using those open source tools and frameworks we spoke about. And if that model ends up being deployed on a factory floor, on some common X86 infrastructure, that's okay, because the lingua franca is Kubernetes. And as Vishal mentioned, Apache Spark, these are the common tools and frameworks. And so I want organizations to think about this unified analytics experience, where they don't have to trade off security for cost, efficiency for reliability. HPE through GreenLake cloud services is delivering all of that where they need to do it. >> And what about the speed to quality trade-off? Have you seen that pop up in customer conversations, and how are organizations dealing with that? >> Like I said, it depends on what you mean by speed. Do you mean a computational speed? >> No, accelerating the time to insights, if you will. We've got to go faster, faster, agile to the data. And it's like, "Whoa, move fast break things. "Whoa, whoa. "What about data quality and governance and, right?" They seem to be at odds. >> Yeah, well, because the processes are fundamentally broken. You've got a developer who maybe is able to spin up an instance in the public cloud to do their development, but then to actually do model training, they bring it back on-premises, but they're waiting for a data engineer to get them the data available. And then the tools to be provisioned, which is some esoteric stack. And then runtime is somewhere else. The entire process is broken. So again, by using consistent frameworks and tools, and bringing that computation to where the data is, and sort of blowing this construct of pipelines out of the water, I think is what is going to drive that success in the future. A lot of organizations are not there yet, but that's I think aspirationally where they want to be. >> Yeah, I think you're right. I think that is potentially an answer as to how you, not incrementally, but revolutionized sort of the data business. Last question, is talking about GreenLake, how this all fits in. Why GreenLake? Why do you guys feel as though it's differentiable in the market place? >> So, I mean, something that you asked earlier as well, time to value, right? I think that's a very important attribute and kind of a design factor as we look at GreenLake. If you look at GreenLake overall, kind of what does it stand for? It stands for experience. How do we make sure that we have the right experience for the users, right? We spoke about it in context of data. How do we have a similar experience for different users of data, but just broadly across an enterprise? So, it's all about experience. How do you automate it, right? How do you automate the workloads? How do you provision fast? How do you give folks a cloud... An experience that they have been used to in the public cloud, on using an Apple iPhone? So it's all about experience, I think that's number one. Number two is about choice and openness. I mean, as we look at GreenLake is not a proprietary platform. We are very, very clear that the design, one of the important design principles is about choice and openness. And that's the reason we are, you hear us talk about Kubernetes, about Apaches Spark, about Delta lake et cetera, et cetera, right? We're using kind of those open source models where customers have a choice. If they don't want to be on GreenLake, they can go to public cloud tomorrow. Or they can run in our Holos if they want to do it that way or in their Holos, if they want to do it. So they should have the choice. Third is about performance. I mean, what we've done is it's not just about the software, but we as a company know how to configure infrastructure for that workload. And that's an important part of it. I mean if you think about the machine learning workloads, we have the right Nvidia chips that accelerate those transactions. So, that's kind of the last, the third one, and the last one, I think, as I spoke about earlier is cost. We are very focused on TCO, but from a customer perspective, we want to make sure that we are giving a value proposition, which is just not about experience and performance and openness, but also about costs. So if you think about GreenLake, that's kind of the value proposition that we bring to our customers across those four dimensions. >> Guys, great conversation. Thanks so much, really appreciate your time and insights. >> Matt: Thanks for having us here, David. >> All right, you're welcome. And thank you for watching everybody. Keep it right there for more great content from HPE GreenLake announcements. You're watching theCUBE. (upbeat music)

>> We're here at the Data Cloud Summit 2020, tracking the rise of the data cloud. And we're talking about the ecosystem powering the next generation of innovation in cloud, you know, for decades, the technology industry has been powered by great products. Well, the cloud introduced a new type of platform that transcended point products and the next generation of cloud platforms is unlocking data-centric ecosystems where access to data is at the core of innovation, tapping the resources of many versus the capabilities of one. Casey McGee is here. He's the vice president of global ISV sales at Microsoft, and he's joined by Colleen Kapase, who is the VP of partnerships and global alliances at Snowflake. Folks, welcome to theCUBE. It's great to see you. >> Thanks Dave, good to see you. Thank you. >> Thanks for having us here. >> You're very welcome. So, Casey, let me start with you please. You know, Microsoft's got a long heritage, of course, working with partners, you're renowned in that regard, built a unbelievable ecosystem, the envy of many in the industry. So if you think about as enterprises, they're speeding up their cloud adoption, what are you seeing as the role and the importance of ecosystem, the ISV ecosystem specifically, in helping make customers' outcomes successful? >> Yeah, let me start by saying we have a 45 year history of partnership, so from our very beginning as a company, we invested to build these partnerships. And so let me start by saying from day one, we looked at a diverse ecosystem as one of the most important strategies for us, both to bring innovation to customers and also to drive growth. And so we're looking to build that environment even today. So 45 years later, focused on how do we zero in on the business outcomes that matter most to customers, usually identified by the industry that they're serving. So really building an ecosystem that helps us serve both the customers and the business outcomes they're looking to drive. And so we're building that ecosystem of ISVs on the Microsoft cloud and focused on bringing that innovation as a platform provider through those companies. >> So Casey, let's stay on that for a moment, if we can. I mean, you work with a lot of ISVs and you got a big portfolio of your own solutions. Now, sometimes they overlap with the ISV offerings of your partners. How do you balance the focus on first party solutions and third-party ISV partner solutions? >> Yeah, first and foremost, we're a platform company. So our whole intent is to bring value to that partner ecosystem. Well, sometimes that means we may have offers in market that may compliment one another. Our focus is really on serving the customer. So anytime we see that, we're looking at what is the most desired outcome for our customer, driving innovation into that specific business requirement. So for us, it's always focusing on the customer, and really zeroing in on making sure that we're solving their business problems. Sometimes we do that together with partners like Snowflake. Sometimes that means we do that on our own, but the key for us is really deeply understanding what's important to the customer and then bringing the best of the Microsoft and Snowflake scenarios to bear. >> You know, Casey, I appreciate that. A lot times people say "Dave, don't ask me that question. It's kind of uncomfortable." So Colleen, I want to bring you into the discussion. How does Snowflake view this dynamic, where you're simultaneously partnering and competing sometimes with some of the big cloud companies on the planet? >> Yeah, Dave, I think it's a great question, and really in this era of innovation, so many large companies like Microsoft are so diverse in their product set, it's almost impossible for them to not have some overlap with most of their ecosystem. But I think Casey said it really well, as long as we stay laser focused on the customer, and there are a lot of very happy Snowflake customers and happy Azure customers, we really win together. And I think we're finding ways in which we're working better and better together, from a technology standpoint, and from a field standpoint. And customers want to see us come together and bring best of breed solutions. So I think we're doing a lot better, and I'm looking forward to our future, too. >> So Casey, Snowflake, you know, they're really growing, they've got a pretty large footprint on Azure. You're talking hundreds of customers here that are active on that platform. I wonder if you could talk about the product integration points that you kind of completed initially, and then kind of what's on the horizon that you see as particularly important for your joint customers? >> You have to say, so one of the things that I love about this partnership is that, well, we start with what the customer wants. We bring that back into the engineering-level relationship that we have between the two companies. And so that's produced some pretty incredibly rich functionality together. So let me start by saying, you know, we've got eight Azure regions today with nine coming on soon. And so we have a geographic diversity that is important for many of our customers. We've also got a series of engineering-level integrations that we've already built. So that's functionality for Azure Private Link, as well as integration between Power BI, Azure Data Factory, and Azure Data Lake, all of this back again to serve the business outcomes that are required for our customers. So it's this level of integration that I think really speaks to the power of the partnership. So we are intently focused on the democratization of data. So we know that Snowflake is the premier partner to help us do that. So getting that right is key to enabling high concurrency use cases with large numbers of businesses, users coming together, and getting the performance they expect. >> Yeah, I appreciate that Casey, because a lot of times I'll, you know, I'll look at the press release. Sometimes we laugh, we call them Barney deals. You know, "I love you. You love me." But I listen for the word engineering and integration. Those are sort of important triggers. Colleen, or Casey too, but I want to start with Colleen. I mean, anything you would add to that, are there things that you guys have worked on together that you're particularly proud of, or maybe that have pushed the envelope and enabled new capabilities for customers where they've given you great feedback? Any examples you can share? >> Great question. And we're definitely focusing on making sure stability is a core value for both of us, so that what we offer, that our customers can trust, is going to work well and be dependable, so that's a key focus for us. We're also looking at how can we advance into the future, what can we do around machine learning, it's an area that's really exciting for a lot of the CXO-level leadership at our customers, so we're certainly focused on that. And also looking at Power BI and the visualization of how do we bring these solutions together as well. I'd also say at the same time, we're trying to make the buying experience frictionless for our customers, so we're also leveraging and innovating with Azure's Marketplace, so that our customers can easily acquire Snowflake together with Azure. And even that is being helpful for our customers. Casey, what are your thoughts, too? >> Yeah, let me add to that. I think the work that we've done with Power BI is pretty, pretty powerful. I mean, ultimately, we've got customers out there that are looking to better visualize the data, better inform decisions that they're making. So as much as AI and ML and the inherent power of the data that's being stored within Snowflake is important in and of itself, Power BI really unlocks that and helps drive better decisions, better visualization, and help drive to decision outcomes that are important to the customer. So I love the work that we're doing on Power BI and Snowflake. >> Yeah, and you guys both mentioned, you know, machine learning. I mean, they really are an ecosystem of tools. And the thing to me about Azure, it's all about optionality. You mentioned earlier, Casey, you guys are a platform. So, you know, customer A may want to use Power BI. Another customer might want to use another visualization tool, fine, from a platform perspective, you really don't care, do you? So I wonder Colleen, if we could, and again, maybe Casey can chime in afterwards. You guys, obviously everybody these days, but you in particular, you're focused on customer outcomes. That's the sort of starting point, and Snowflake for sure has built pretty significant experience working with large enterprises and working alongside of Microsoft to get other partners. In your experience, what are customers really looking for out of the two joint companies when they engage with Snowflake and Microsoft, so that one plus one is, you know, much bigger than two. Maybe Colleen, you could start. >> Yeah, I definitely think that what our customers are looking for is both trust and seamlessness. They just want the technology to work. The beauty of Snowflake is our ease of use. So many customers have questions about their business, more so now in this pandemic world than ever before. So the seamlessness, the ease of use, the frictionless, all of these things really matter to our joint customers, and seeing our teams come together, too, in the field, to show here's how Snowflake and Azure are better together, in your local area, and having examples of customers where we've had win-wins, which I'd say Casey, we're getting more and more of those every day, frankly, so it's pretty exciting times. And having our sales teams work as a partnership, even though we compete, we know where we play well together, and I see us doing that over and over again, more and more, around the world, too, which is really important as Snowflake pushes forward, beyond the North America geographies into stronger and stronger in the global regions, where frankly, Microsoft's had a long, storied history at. That's very exciting, especially in Europe and Asia. >> Casey, anything you'd add to that? >> Yeah. Colleen, it's well said. I think ultimately, what customers are looking for is that when our two companies come together, we bring new innovation, new ideas, new ways to solve old problems. And so I think what I love about this partnership is ultimately when we come together, whether it's engineering teams coming together to build new product, whether it's our sales and marketing teams out in front of the customers, across that spectrum, I think customers are looking for us to help bring new ideas. And I love the fact that we've engineered this partnership to do just that. And ultimately we're focused on how do we come together and build something new and different. And I think we can solve some of the most challenging problems with the power of the data and the innovation that we're bringing to the table. >> I mean, you know, Casey, I mean, everybody's really quite in awe and amazed at Microsoft's transformation, and really openness and willingness to really, change and lean into some of the big waves. I wonder if you could talk about your multi-platform strategy and what problems that you're solving in conjunction with Snowflake. >> Yeah, let me start by saying, you know, I think as much as we appreciate that feedback on the progress that we've been striving for, I mean, we're still learning every day, looking for new opportunities to learn from customers, from partners, and so a lot of what you see on the outside is the result of a really focused culture, really focusing on what's important to our customers, focusing on how do we build diversity and inclusion to everything we do, whether that's within Microsoft, with our partners, our customers, and ultimately, how do we show up as one Microsoft, I call one Microsoft kind of the partner's gift. It's ultimately how do our companies show up together? So I think if you look multi-platform, we have the same concept, right? We have the Microsoft cloud that we're offering out in the marketplace. The Microsoft cloud consists of what we're serving up as far as the platform, consists of what we're serving up for data and AI, modern workplace and business applications. And so this multi-cloud strategy for us is really focused on how do we bring innovation across each of the solution areas that matter most to customers. And so I see really the power of the Snowflake partnership playing in there. >> Awesome. Colleen, are there any examples you can share where, maybe this partnership has unlocked the customer opportunity or unique value? >> Yeah, I can't speak about the customer-specific, but what I can do and say is, Casey and I play very corporate roles in terms of we're thinking about the long-term partnership, we're driving the strategy. But hey, look, we'll get called in, we're working a deal right now, it's almost close of the quarter for us, we're literally working on an opportunity right now, how can we win together, how can we be competitive, the customers, the CIO has asked us to come together, to work on that solution. Very large, well-known brand. And we're able to get up to the very senior levels of our companies very quickly to make decisions on what do we need to do to be better and stronger together. And that's really what a partnership is about, you can do the long-term plans and the strategics and you can have great products, but when your executives can pick up the phone and call each other to work on a particular deal, for a particular customer's need, I think that's where the power of the partnership really comes together, and that's where we're at. And that's been a growth opportunity for us this year, is, wasn't necessarily where we were at, and I really have to thank Casey for that. He's done a ton, getting us the right glue between our executives, making sure the relationships are there, and making sure the trust is there, so when our customers need us to come together, that dialogue and that shared diction of putting customers first is there between both companies. So thank you, Casey. >> Oh, thanks, Colleen, the feeling's mutual. >> Well, I think this is key because as I said up front, we've gone from sort of very product-focused to platform-focused. And now we're tapping the power of the ecosystem. That's not always easy to get all the parts moving together, but we live in this API economy. You could say "Hey, I'm a company, everything's going to be homogeneous. Everything is going to be my stack." And maybe that's one way to solve the problem, but really that's not how customers want to solve the problem. Casey, I'll give you the last word. >> Yeah, let me just end by saying, you know, first off the cultures between our two companies couldn't be more well aligned. So I think ultimately when you ask yourself the question, "What do we do to best show up in front of our customers?" It is, focus on their business outcomes, focus on the things that matter most to them. And this partnership will show up well. And I think ultimately our greatest opportunity is to tap into that need, to that interest. And I couldn't be happier about the partnership and the fact that we are so well aligned. So thank you for that. >> Well guys, thanks very much for coming on theCUBE and unpacking some of the really critical aspects of the ecosystem. It was really a pleasure having you. >> Thank you so much for having us. >> Okay, and thank you for watching. Keep it right there. We've got more great content coming your way at the Data Cloud Summit.

>> (upbeat music) >> production: From around the globe, it's the Cube covering Google cloud Next on-Air 20. (Upbeat music) >> Welcome back. I'm Stu Miniman and this is the CUBE coverage of Google cloud Next on Air 20. Of course, the nine week distributed all online program that Google cloud is doing and going to be talking about, of course, multi-cloud, Google of course had a big piece in multi-cloud. When they took what was originally Borg, They built Kubernetes. They made that open source and gave that to the CNCF and one of Google's partners and a leader in that space is of course, Red Hat. Happy to welcome to the program Sathish Balakrishnan, he is the Vice President of hosted platforms at Red Hat. Sathish, thanks so much for joining us. >> Thank you. It's great to be here with you on Google Cloud Native insights. >> Alright. So I, I tied it up, of course, you know, we talk about, you know, the hybrid multicloud and open, you know, two companies. I probably think of the most and that I've probably said the most about the open cloud are Google and Red Hat. So maybe if we could start just, uh, you hosted platforms, help us understand what that is. And, uh, what was the relationship between Red Hat and the Open Shift team and Google cloud? >> Absolutely. Great question. And I think Google has been an amazing partner for us. I think we have a lot of things going on with them upstream in the community. I think, you know, we've been with Google and the Kubernetes project since the beginning and you know, like the second biggest contributor to Kubernetes. So we have great relationships upstream. We also made Red Hat Enterprise Linux as well as Open Shift available on Google. So we have customers using both our offerings as well as our other offerings on Google cloud as well. And more recently with the hosted our offerings. You know, we actually manage Open Shift on multiple clouds. We relaunched our Open Shift dedicated offering on Google cloud back at Red Hat Summit. There's a lot of interest for the offering. We had back offered the offering in 2017 with Open Shift Three and we just relaunched this with Open Shift Four and we received considerable interest for the Google cloud Open Shift dedicated offering. >> Yeah, Sathish maybe it makes sense if we talk about kind of the maturation of open source solutions, managed services has seen really tremendous growth, something we've seen, especially if we were talking about in the cloud space. Maybe if you could just walk us through a little bit out that, you know, what are you hearing from customers? How does Red Hat think about managed solutions? >> Absolutely. Stu, I think it was a good question, right? I think, uh, as we say, the customers are looking at, you know, multiple infrastructure footprints, Be iteither the public cloud or on-prem. They'll start looking at, you know, if I go to the cloud, you know, there's this concept of, I want something to be managed. So what Open Shift is doing is in Open Shift, as you know it's Red Hat's hybrid cloud platform and with Open Shift, all the things that we strive to do is to enable the vision of the Open Hybrid Cloud. Uh, so, but Open Hybrid Cloud, it's all about choice, So we want to make sure the customers have both the managed as well as the self managed option. Uh, so if you really look at it, you know, Red Hat has multiple offerings from a managed standpoint. One as you know, we have Open Shift dedicated, which runs from AWS and Google. And, you know, we just have, as I mentioned earlier. We relaunched our Google service at Red Hat Summit back in May. So that's actually getting a lot of traction. We also have joint offerings with Azure that we announced a couple of years back and, there's a lot of interest for that offering as well as the new offering that we announced post-summit, the Amazon-Red Hat Open Shift, which basically is another native offering that we have on Amazon. If you really look at, having, having spoken about these offerings, if you really look at Red Hat's evolution as a managed service provider in the public cloud, we've been doing this since 2011. You know, that's kind of surprising for a lot of people, but you know, we've been doing Open Shift online, which is kind of a multi-tenant parcel multi-talent CaaS solution 2011. And we are one of the earliest providers of managed kubernetes, you know, along with Google Kubernetes engine GKE, we are our Open Shift dedicated offering back in 2015. So we've been doing Kubernetes managed since, Open Shift 3.1. So that's actually, you know, we have a lot of experience with management of Kubernetes and, you know, the devolution of Open Shift we've now made it available and pretty much all the clouds. So that customers have that exact same experience that they can get any one cloud across all clouds, as well as on-prem. Managed service customers now have a choice of a self managed Open Shift or completely managed Open Shift. >> Yeah. You mentioned the choice and one of the challenges we have right now is there's really the paradox of choice. If you look in the Kubernetes space, you know, there are dozens of offerings. Of course, every cloud provider has their offerings. You know, Google's got GKE, they have Anthos, uh, they, they have management tools around there. You, you talked a bit about the, you know, the experience and all the customers you have, the, you know, there's one of the fighters talks about, there's no compression algorithm for experience. So, you know, what is Red Hat Open Shift? What really differentiates in the market place from, you know, so many of the other offerings, either from the public high providers, some of the new startups, that we should know. >> Yeah. I think that's an interesting question, right? I think all Google traders start with it's complete open source and, you know, we are a complete open source company. So there is no proprietary software that we put into Open Shift. Open Shift, basically, even though it has, you know, OC command, it basically has CPR. So you can actually use native Google networks as you choose on any Google network offering that you have be it GKE, EKS or any of the other things that are out there. So that's why I think there are such things with google networks and providers and Red Hat does not believe in open provider. It completely believes in open source. We have everything that we is open source. From an it standpoint, the value prop for Red Hat has always been the value of the subscription, but we actually make sure that, you know, Google network is taken from an upstream product. It's basically completed productized and available for the enterprise to consume. But that right, when we have the managed offering, we provide a lot more benefits to it, right? The benefits are right. We actually have customer zero for Open Shift. So what does that mean? Right. We will not release Open Shift if we can't run open Shift dedicated or any of their (indistinct) out Open Shift for them is under that Open Shift. Really really well. So you won't get a software version out there. The second thing is we actually run a lot of workloads, but then Red Hat that are dependent on our managed or open shift off. So for example, our billing systems, all of those internal things that are important for Red Hat run on managed Open Shift, for example, managed Open Shift. So those are the important services for Red Hat and we have to make sure that those things are running really, really well. So we provide that second layer of enterprise today. Then having put Open Shift online, out that in public. We have 4 million applications and a million developers that use them. So that means, I've been putting it out there in the internet and, you know, there's security hosts that are constantly being booked that are being plugged in. So that's another benefit that you get from having a product that's a managed service, but it also is something that enterprises can now use it. From an Open Shift standpoint, the real difference is we add a lot of other things on top of google network without compromising the google network safety. That basically helps customers not have to worry about how they're going to get the CIC pipeline or how they have to do a bunch of in Cobra Net as an outside as the inside. Then you have technologies like Store Street Metrics kind of really help customers not to obstruct the way the containerization led from that. So those are some of the benefits that we provide with Open Shift. >> Yeah. So, so, so Sathish, as it's said, there's lots of options when it comes to Kubernetes, even from a Red Hat offering, you've got different competing models there. If I look inside your portfolio, if it's something that I want to put on my infrastructure, if I haven't read the Open Shift container platform, is that significantly different from the managed platform. Maybe give us a little compare contrast, you know. What do I have to do as a customer? Is the code base the same? Can I do, you know, hybrid environments between them and you know, what does that mean? >> It's a smart questions. It's a really, really good question that you asked. So we actually, you know, as I've said, we add a lot of things on top of google network to make it really fast, but do you want to use the cast, you can use the desktop. So one of the things we've found, but you know, what we've done with our managed offering is we actually take Open Shift container platform and we manage that. So we make sure that you get like a completely managed source, you know. They'll be managed, the patching of the worker nodes and other things, which is, again, another difference that we have with the native Cobra Net of services. We actually give plush that admin functionality to customers that basically allows them to choose all the options that they need from an Open Shift container platform. So from a core base, it's exactly the same thing. The only thing is, it's a little bit opinionated. It to start off when we deploy the cluster for the customer and then the customer, if they want, they can choose how to customize it. So what this really does is it takes away any of the challenges the customer may have with like how to install and provision a cluster, which we've already simplified a lot of the open shift, but with the managed the Open Shift, it's actually just a click of it. >> Great. Sathish Well, I've got the trillion dollar question for you. One of the things we've been looking at for years of course, is, you know, what do I keep in my data center? What do I move to the cloud? How do I modernize it? We understand it's a complex and nuanced solution, but you talk to a lot of customers. So I, you know, here in 2020, what's the trends? What are some of the pieces that you're seeing some change and movement that, you know, might not have been the case a year ago? >> I think, you know, this is an interesting question and it's an evolving question, right? And it's something that if you ask like 10 people you'll get real answers, but I'm trying to generalize what I've seen just from all the customer conversations I've been involved. I think one thing is very clear, right? I think that the world is right as much as anybody may want to say that I'm going to go to a single cloud or I'm going to just be on prem. It is inevitable that you're going to basically end up with multiple infrastructure footprint. It's either multicloud or it's on Prem versus a single cloud or on prem versus multiple cloud. So the main thing is that, we've been noticing as, what customers are saying in a whole. How do I make sure that my developers are not confused by all these difference than one? How do I give them a consistent way to develop and build their applications? Not really worry about, what is the infrastructure. What is the footprint that they're actually servicing? So that's kind of really, really important. And in terms of, you know, things that, you know, we've seen customers, you know, I think you always start with compliance requirements and data regulations. Back there you got to figure it out. What compliance do I need? And as the infrastructure or the platform that I'm going to go to meet the compliance requirements that I have, and what are the data regulations? You know, what is the data I'm going to be setting? Is it going to meet the data submitted rules that my country or my geo has? I got to make sure I worry about that. And then I got to figure out if I'm going to basically more to the cloud from the data center or from one cloud to another cloud. I might just be doing a lift or shift. Am I doing a transformation? What is it that I really worry about? In addition to the transformation, they got to figure it out, or I need to do that. Do I not need to do that? And then, you know, we've got to figure out what your data going to set? What your database going to look in? And do you need to connect to some legacy system that you have on prem? Or how do you go? How do you have to figure that out and give them all of these complexities? This is really, really common for any large enterprise that has like an enterprise ID for that multi-cloud. That's basically in multiple geographies, servicing millions of customers. So that has a lot of experience doing all these things. We have open innovation labs, which are really, really awesome experience for customers. Whether they take a small project, they figured out how to change things. Not only learn how to change things from a technology standpoint, but also learn how to culturally change things, because a lot of these things. So it's not just moving from one infrastructure to another, but also learning how to do things differently. Then we have things like the container adoption programmer, which is like, how do you take a big legacy monolith application? How do you containerize it? How do you make it micro services? How do you make sure that you're leveraging the real benefits that you're going to get out of moving to the cloud or moving to a container platform? And then we have a bunch of other things like, how do you get started with Open Shift and all of that? So we've had a lot of experience with like our 2,400 plus customers doing this kind of really heavy workload migration and lifting. So the customers really get the benefits that they see out of Open Shift. >> Yeah. So Sathish, if I think about Google, specifically talking about Google cloud, one of the main reasons we hear customers using Google is to have access to the data services. They have the AI services they have. So how does that tie into what we were just talking about? If I, if I use Open Shift and you know. I'm living in Google cloud, can, can I access all of those cloud native services? Are there any nuances things I need to think about to be able to really unleash that innovation of the platform that I'm tying into? >> Yeah, absolutely not. Right. I think it's a great question. And I think customers are always wondering about. Hey, if I use Open Shift, am I going to be locked out of using the cloud services? And if anything run out as antilock. We want to make sure that you can use the best services that you need for your enterprise, like the strategy as well as for applications. So with that, right. And we've developed the operator framework, which I think Google has been a very early supporter of. They've built a lot of operators around their services. So you can develop those operators to monitor the life cycle of these services, right from Open Shift. So you can actually connect to an AI service if you want. That's absolutely fine. You can connect the database services as well. And you can leverage all of those things while your application runs on Open Shift from Google cloud. Also I think that done us right. We recognize that, when you're talking about the open hybrid cloud, you got to make sure that customers can actually leverage services that are the same across different clouds. So when you can actually leverage the Google services from On Prem as well, if you choose to have localized services. We have a large catalog of operators that we have in our operator hub, as well as in the Red Hat marketplace that you can actually go and leverage from third party, third party ISV, so that you're basically having the same consistent experience if you choose to. But based on the consistent experience, that's not tied to a cloud. You can do that as well. But we would like for customers to use any service that they want, right from Open Shift without any restrictions. >> Yeah. One of the other things we've heard a lot from Google over the last year or so has been, you know, just helping customers, especially for those mission, critical business, critical applications, things like SAP. You talked a bit about databases. What advice would you give customers these days? They're, they're looking at, you know, increasing or moving forward in their cloud journeys. >> I think it sounds as an interesting question because I think customers really have to look at, you know, what is the ID and technology strategy? What are the different initiatives to have? Is it digital transformation? Is it cloud native development? Is it just containerization or they have an overarching theme over? They've got to really figure that out and I'm sure they're looking at it. They know which one is the higher priority when all of them are interrelated and in some ways. They also got to figure out how they going to expand to new business. Because I think as we said, right, ID is basically what is driving personal software is eating the load. Software services are editing them. So you got to figure out, what are your business needs? Do you need to be more agile? Do you need to enter new businesses? You know, those are kind of important things. For example, BMW is a great example, they use Open Shift container platform as well as they use Open Shift dedicated, you know. They are like a hundred hundred plus year old car, guess, you know what they're trying to do. They're actually now becoming connected car infrastructure. That's the main thing that they're trying to build so that they can actually service the cars in any job. So in one shoe, they came from a car manufacturing company to now focus on being a SAS, an Edge and IOT company. If you really look at the cars as like the internet of things on an edge computer and what does that use case require? That use case cannot anymore have just one data center in Munich, they have to basically build a global platform of data centers or they can really easily go to the cloud. And then they need to make sure that that application double close when they're starting to run on multiple clouds, multiple geographies, they have the same abstraction layer so that they can actually apply things fast. Develop fast. They don't have to worry about the infrastructure frequently. And that's basically why they started using Open Shift. And don't know why they're big supporters of Open Shift. And then I think it's the right mission for their use. So I think it really depends on, you know, what the customer is looking for, but irrespective of what they're looking for, I think Open Shift nicely fits in because what it does, is it provides you that commonality across all infrastructure footprints. It gives you all the productivity gains and it allows you to connect to any service that you want anywhere because we are agnostic to that and as well as we bring a whole lot of services from Red Hat marketplace so you can actually leverage your status. >> Well, Sathish Balakrishnan, thank you so much for the updates. Great to hear about the progress you've got with your customers. And thank you for joining us on the Google cloud Next On Air Event. >> Thank you Stu. It's been great talking to you and look forward to seeing you in person one day. >> Alright. I'm Stu Miniman. And thank you as always for watching the Cube. (upbeat music) (upbeat music)

(upbeat music) >> Announcer: From around the globe, it's theCUBE covering Google Cloud Next OnAir '20. >> Hi everybody, welcome back. This is Dave Vellante and you're watching theCUBE's continuous coverage of Google Next OnAir, nine weeks of cloud content. There was just a buffet of content. It started out with sort of industry trends, we got into productivity, infrastructure, deep dive in security analytics, database, app modernization, cloud AI and we're wrapping up the nine weeks with Business Application Platform. And with me is Amit Zavery, who's the general manager and vice president of the Business Application Platform at Google cloud. Amit, always a pleasure. Thanks for coming on. >> Definitely, Thanks for having me Dave. You're welcome. So tell me more about this role and kind of your swim lane, if you will. >> Definitely. I think as you can imagine with especially all this digital transformation getting accelerated due to COVID, that's a huge amount of demand and interest from customers to be able to build applications, integrate them and modernize systems and automate all of them very quickly and easily in a cost effective manner. So that has been driving a lot of the thinking at Google for quite a few of years already. But I think that a little more accelerated with some of the work we've been doing previously with our stack around API management, no code app development, automation capabilities in our platform as well and we're bringing a lot of these things together in an offering so that customers can take advantage of a lot of the innovation in this space and improve the digital transformation and innovate quickly as well. So that's what we've done with Business Application Platform. We're providing capabilities for any kind of developers, be it the technical user who has a lot of programming experience as well as the other spectrum, which are the system developers who don't really have any kind of a software engineering background, but want be able to build applications and automate and there're processes very quickly and easily. So we want to provide them all the tooling and capabilities so that they can do that and be more effective than they would otherwise be. >> I want to ask you about digital transformation. I mean, obviously it's a word that's thrown around, a phrase that's thrown around a lot and there's a spectrum of what it means to people. I was talking to somebody the other day, and this obviously will resonate with you, with your background in enterprise apps but they were talking about an ERP system that was put in 15 years ago before Iphone, before cloud and it just says you know those systems are fossilized and the business has changed dramatically but the ERP system hasn't. To them, digital transformation was basically upgrading the system. And so, but obviously to Google and your role, it means something much different, doesn't it? >> I saw a lot more, right? I think no doubt having a digital application. No doubt is important, it's a good starting point. But you said some of the systems are pretty old and they're not connected together between different parts of the business. And this is huge amount of manual processes. and there's a lot of, I would say disparate pieces which never come together if you don't really put a well thought out digital transformation project or intimidation around it. So a lot of times all these businesses, when they're connecting things together, they do need a platform to kind of bring their business processes, their workflows, their applications, and the interaction between different users, be it external and internal into a more automated system. And that's really where digital transformation really shines and improves a lot of the ability for customers to compete as well as meet their customer demands and be more effective than otherwise they would be. >> And cloud is critical there but it's connecting to an ecosystem. So I want to ask you about your strategy of the Business Application Platform. And of course, Google is known for great tech. It's very open, a lot of downstream contributions, you think about Kubernetes and Anthos. So how would you describe your group strategy and how does it dovetail with Google cloud overall? >> Yeah no doubt, I think the cloud is kind of the central team underneath the covers, right? So it does run on a multicloud and hybrid mechanism. So that is available anywhere as well as you have choice of and flexibility of deployment. It's also a platform on top of Anthos so you have the advantage of multicloud as well as support for all the different systems. You might have both on-prem as well as in various other cloud providers as well. And the other things we are doing is we're taking advantage a lot of the AIML capabilities, a lot of our data analytics capabilities and bringing a lot of those underlying technologies and extracting it out to a SaaS based offering on Business Application Platform. So the customer's perspective, they want to build an application, They use, we recently acquired a company called AppSheet at the start of this year. So they can easily now use AppSheet to build those applications without writing a single line of code. And then if you create that application, it provides connectivity to also a lot of other systems out there be it applications like SAP, salesforce.com. But also a lot of legacy systems in house or custom systems you might have built and put connectors to that. And then allows you to now monetize and take systems and provide API so then you can now extend it and bring it out into the partner community, as well as customers to be able to build applications around that as well. So it connects all those things together, takes advantage of the Google cloud and the ecosystem we have built and provides customers and users a much easier way to kind of build and deliver applications and automation on it. >> Okay, so that makes sense in terms of why you acquired, made that acquisition. But I want to talk about no code development. It's something that you've been talking about quite a bit lately. Tell the audience, what is no code development? Why do we need it? >> Yeah, I think if you look at some of these report nowadays, there's a limited amount of capacity and capabilities IT can provide. And for complicated and very large systems, you of course need IT to kind of make your business efficient and implement a lot of the systems together. But there a lot of other applications which departments and line of business users want to use and build and they can't wait around for IT. And there, I think you look at some of the reports from Gartner, for example, they're going to be four times more developers outside IT than they are going to be in IT. And those folks are not going to be software engineers, they're not professional programmers but still they need efficiency and automation and application development tools. This is where no code really brings a lot of value. So tools like AppSheet, which we acquired, as market leading no code development platform makes it very easy for anybody without any experience writing any code and building applications. They can point click and start building an application and be effectively produce something which they can collaborate and use between different users inside the company or outside without spending a lot of money and time to deliver that. And that's why the no-code application platforms are becoming very popular because it does make your business more efficient, makes your business more automated, it's cost effective and it's very productive, right? So that has been the trend now more and more, and we speak a lot of, especially nowadays, if you look at telehealth, you look at say, if you want to do mortgage lending, you want to build an app easily quickly without having to wait around for it. You are interacting with a lot of people through digital mediums now and instead of people using a lot of digital tools. And that's why I think there's no-code a platforms become much more important, powerful and usable in this mechanism as well. >> Okay, I think it's important to point out. We're talking about no-code here, not low-code, no-code, there's a difference. >> There's a big difference. I think the low-code was kind of the interim stage where tools, which are coming out into the market were available to make it a little easier for development but not enough to kind of democratize it for everybody. With no-code, you are now allowing and opening it up to a lot more vaster community of users who can multiple build applications and take advantage of a lot of technology innovation happening in the platform like cloud and other things as well. Media reporting is another good example where you want to be able to build dashboards quickly and easily without again writing codes. So the no-code becomes a lot more important and usable for this kind of needs. >> So I wonder if we could stay on this for a minute. You've used the example of programming a VCR, many of us remember how difficult that was early on and now it's just you talk to it and it works. You used that as an example of what no code is like. Can you explain that a little bit more? >> I think, basically it should be natural, right? I think when we used to program a VCR, you'd read some manuals, you'd read some code, you have to kind of go through the whole process. I don't even know how many of our audience nowadays even know about that or even think about it anymore. makes us all very dated. But it was a very cumbersome process and then you would worry about whether you recorded it or not, and that you got it on the right time and did you get the right show? And then you'd up deleting the wrong things or whatever it may be the case. A Lot of those things are now getting extracted and simpler in terms of the no-code development where if you are looking for a particular application interface, if you're looking to build say a mortgage lending app, a lot of those building blocks are already available to you. You kind of making it specific to your need, but really using a lot of the building blocks and get you the final solution versus learning about wiring, everything yourself with a lot of pieces of code in there, right? So that's becoming a straightforward. We have customers like Solvay, for example, which is a large chemical automation company. And they are being able to build multiple applications with 400 plus users inside the company and deliver a lot more automation inside the organization than they would otherwise be. >> So you kind of touched on this with the different modules and capabilities and functions within an organization. But when I think about that VCR analogy, I mean, it's doing one thing and that's pretty simple. How does that apply? And again, you kind of touched on it, but it seems like IT is much or business is much more complicated but so this actually works? >> Yeah I think it's a works. We provide a lot of our kind of templates and system examples in the no-code tooling, as well as the a lot of complexity, which is built underneath the cover which is completely hidden from the user perspective, right? So when I'm building an application, I'm still getting the power of the cloud, I'm getting the power of our underlying platform, the scalability, reliability, the security, the integration, all that kind of stuff is brought into this tooling without you having to learn any of those things. And that really is where the power comes in and it's flexible enough that you can kind of pretty much do any kind of application deployment. I will not build a full blown eCommerce site with it, but I can do a lot of typical day to day kind of applications like vacation approval or things you might want to do for mortgage lending, understanding a telehealth app for doctors. And so we're seeing a lot of the, we had customers who were doing this for hospital bed tracking during the COVID current crisis going on, right? Where they want to know what kind of PPE is available? How many beds are empty? So tracking that at the hospital level, at the health care departments, all that kind of stuff we're done very quickly and powerfully than they otherwise would have. >> Is there a concern amongst your customers about privacy, governance, compliance, security with all these citizen developers? How do you ensure that those fundamental edicts of the organization are preserved? >> Yeah, I think this is a similar thing than any other system we will make available to our customers in the cloud. We guarantee that all the data is only available to the people who are allowed to based on the privileges and the security profiles and everything else. So there's no really any kind of fear from the system perspective that you will get access to something which you're not allowed to. You do log in, you do have to have an account, you do have to have all the relevant credentials before you get access to it. Same thing with privacy. We make sure that nothing is shared with anybody who's not allowed to. So we apply the same tenant, same kind of rules to any kind of data or information we keep in the cloud for any other application development. All we're doing is abstracting it out and making it easier so that everybody who wants to build things don't have to learn 20 other things to kind of get going. So the ability to do this in faster and quickly is there but all the underlying philosophy and principles still remain intact into our products as well. >> Right, makes sense. You guys obviously you have this API first mentality. I've heard about things like API gateway, Apogee, data capabilities, automating AppSheets. Can you bring us up to date on some of those innovations? >> You will see a lot of updates in this area. So we've been innovating very aggressively. Of course, we have a product called Apogee which is a market leading API management product in the industry today. It does the full life cycle of APIs, including testing, development, publishing, monetization, security, all that kind of stuff for API. And we have thousands of customers using it today. Beyond that, what we've done is we've added a lot of ability from that Stack to kind of expose APIs and consume them through AppSheet. So we have an API data source for AppSheet. So it's easy for you to find APIs and build an app is one. Second, we also released something called API gateway, which is a very high performance, low latency cloud native gateway running on serverless. So a lot of applications are built on serverless platform nowadays. And if you want to now manage that to an API layer, we provide a gateway on top of Google cloud. So anybody can also use it very quickly and easily as well. So that's another area which we added. And the third thing which we are announcing is something called actually AppSheet automation. So as I talked about AppSheet for app development, we're also now adding a lot of workflow and business process automation underneath the covers as part of AppSheet. That's something we're making available to our customers so they can automate a business process and connect things together very quickly but also get the value of the automation in their application as well. So those are new innovations, new releases we're adding to our platform as part of business application offering so that anybody can take advantage of it. >> I mean, I love this trend because to the extent you've been able, I mean, this is the Holy grail. If you can enable business users, they're closer obviously to what's going on, closer to the customer and they can respond much more quickly. Are you seeing, for instance a user builds an app using an AppSheet, are you seeing because of the API richness, are you seeing other innovation around those occurring? Are we at that point yet? Or are they still kind of islands of- >> No, i think The scope of usage is growing very fast, right? We have more than 400,000 users on AppSheet are building applications. Thousands of thousands of applications been built on it, millions of users kind of using it at the end from the logging in and using those applications as well. So I think the innovation is happening very fast, where they're connecting different things, as well as now building an ecosystem, even in Solvay as example, I was giving you. The multiple apps are built by multiple departments, and they're kind of bringing those ecosystem together into a reuse, be able to kind of find new use cases around it, those kinds of things as well. >> Are organization's coming back to say, hey, we love this? But remember when we first started spinning up VMs, it was so easy. Are you seeing organizations say, hey, we need better line of sight on it. It could be in a catalog of what we're doing or marketplace. Are you seeing demand for that? >> Yeah, so we seeing a lot. I think there's a lot of reuse. Like we have partners who also build a build applications and put that into our marketplace as well and then we're also seeing a lot of interest from solution providers who build applications on top of what you might have as modules and deliver to our end customers as well. So now there's a lot of interest in that regards and there's a lot of good examples coming out and we're seeing a lot of ways of bringing some of these things together as well. >> I mean, how does machine intelligence, AI, how does it fit into your whole agenda and strategy? And what does it mean for a customer? >> Yeah, I think as you know, Google has been innovating and has been one of the top AIML vendor out in the marketplace today. And we have definitely taken a lot of advantage of that innovation and experience in that. So for example, when I talked about automation, a lot of the automation in AppSheet is being done using AIML technologies Google has built in terms of predicting the way the customer is going to use the application, how they're going to be able to take a business process and connect them together. A lot of that things have been built using AIML technologies at Google cloud. Beyond that on API management for our operational dashboards and operational monitoring. So make sure that we can give you five nines of availability. We kind of really use lot of AIML technologies to understand anomalies, figure out where the issues might be and predict those things and make sure that we kind of fixing those things in advance before things go down, right? Same thing in security, abuse, usage, make any kind of DDoS kind of things or whatever may be the security issues as well. We use a lot of AIML capabilities to make sure we're monitoring and securing our systems as well. So we're in the middle of everything. >> Right. Has the pandemic, you know, the last 150 days, obviously it's changed things and we've talked about digital transformation being accelerated. How are you thinking about sort of the go forward as a result of the post isolation era? >> Yeah, I think this is probably going to be... I don't think this is good. Once we get out of the COVID situation whenever that happens, some of the way we work and where we operate will definitely change than what it used to be pretty much in a way. So I do expect a lot more of video conferencing, for example I do expect a lot of digitalization. I do expect a lot of automation requirements, everybody trying to be more efficient and sharing things and working remotely. Those kinds of things will continue as a trend. So from our perspective, the work we're doing around API management, around digitalization, around digital transformation, around AppSheet automation, all those things are probably right things for the right kind of future where these technologies and tech offerings we do in Google cloud as well as other things we are doing broadly will make a big difference for everyone. >> Yeah recently, I want to kind of end just to get your industry perspectives. Recently, I wrote a piece that a video just on the enterprise app space, kind of the systems of record. And, you know, these are entrenched companies and even you see some of the new SaaS startups, but they're large companies and done very well. I was trying to sort of noodle on where does the potential of disruption come? Where's the new innovation? And I think some of the things that we're talking about here, this no-code, cloud. I mean, obviously you guys play in the application space but it seems like a part of your strategy is to enable developers to really build new types of applications. And maybe that's where the next wave of disruption comes, perhaps in vertical industries, perhaps with this no code. What are your thoughts on that? >> I know, you're right. I think the productivity in the collaboration space, no doubt is going through a huge transformation and change. I mean, Google being in the forefront of it with G Suite. If you look at some of the numbers and the metrics in terms of video conferencing and this collaboration in general has been going through the roof in terms of usage. AppSheet combination with that, for example, right? So if you're building an application, you're doing video conferencing, I might be able to build a telehealth app very quickly and easily. So that's where the no-code and collaboration, for example and productivity becomes part that story. Similarly, as you said, the industry solutions where you probably heard some of the innovation we're doing in that area by specific industry with business processes. Again, adding an API layer underneath the covers to connect different systems together, and then publishing that to an application through AppSheet becomes, again, a very much a great thought out solution and very easy to kind of provide that to our customers as well. So changes in productivity and collaboration, changes in no code app development, having a platform to connect all these things and make it easy to adopt is really a big part of our story as we move forward. And that's the reason why we're kind of increasing our investment in the Business Application Platform and just kind of pour to a lot of things we're doing. We did an acquisition on Looker, for example, for business intelligence. And that's an important part as part of business application platform, to be able to provide intelligence to what people are doing, what data you have to be able to do self service reporting, and then publish that to on a dashboard as well, which might be created through AppSheet or custom doesn't matter. But we provide you that whole end to end onto it. And then technology like Anthos ties it together to give you multicloud as well as a hybrid kind of delivery mechanism. So you have flexibility of choice how you deliver and run those systems. >> Yeah, I love that Looker example for sure. We're basically seeing the democratization of business apps. Amit, thanks so much for coming back in theCUBE. It's great to see you. Hopefully sometime soon we can see each other face to face. >> Yeah. I look forward to it and thank you again for having me. >> And thank you for watching our continuous coverage on theCUBE with Google's Next OnAir nine weeks of coverage. Keep it right there. Be right back after this short break. (upbeat music)

>>From around the globe covering Google cloud. Next on there. >>Hi, I'm Stu Miniman and this is the cube coverage of Google cloud. Next 20 on air it's week seven of nine. Google of course took their event that was supposed to be in person and Moscone, spread it out online. It's all available on demand. Every Tuesday they've been dropping it in the cube. We've got a great lineup that we're going to share with you of our coverage thought event. This is our analysis segment, joining me to help dig into where Google cloud is. Everything happening in the ecosystem. Having to bring in Dave Alante and John furrier, our co-founders co-CEOs and, uh, always hosts of the program, John and Dave. Uh, it was, uh, it was great last year being in the middle of the show floor, uh, with the whole team and the great glam beautiful booth that Google built well, we're remote, but we're still in the middle of all the topics, the big waves and everything like that. So thanks so much for joining me and look forward to digging into it. >>Hey Stu, great to see you remotely. We got to get these events back. His virtual events are nine weeks, three weeks for Ws all day events. DockerCon virtual orders, nobody ecosystem support. I mean, this is really an interesting time and I think Google has laid out an interesting experiment with their multi. I call it summer of cloud program nine weeks with just a sustained demand for your attention. It's going to been a challenge. >>The question always, John, can they keep their attention? John, you laid out, you know, the cube three 65 were, there is 365 days a year, help extract the signal from the noise, help engage with the community. So absolutely want to kind of peel back the onion and see what we think of the event. But let let's, let's start with Google. Dave, you know, you've been digging through the numbers as you always do. Uh, we're we're more than a year since Thomas Kurian came in and you know, what are you hearing? What's the data showing you as to, you know, where Google really sits in the marketplace? How are they doing >>Well still you're right. I mean, Thomas curious now I think he's about 18 months in and in one of my previous breaking analysis, I kind of laid out a four point plan for, for Google. And we can talk about sort of how they're doing there, but, but really the first one is product maturity and there's, there's a number of things that we can assess as it relates to product maturity. The second we talk about it all the time is, is, is go to market. I think the third one is really around differentiation. How does Google uniquely differentiate from the other cloud service providers? And I think the fourth and we saw this earlier this year with Looker is, you know, Google's got a war chest and you know, they can use that to really beef up the cloud. And I think if, if, if you, if you look at it, you know, Google's done a pretty good job with things like fed ramp. >>I mean, these are table stakes in the big cloud. You know, they're starting to do more things around SAP of VMware, uh, windows. I mean, again, these are basic things that you have to do as part of any large cloud provider. I think the other thing we talked about go to market, they've done a number of things there. Karen's really focused on partnerships. He wants to be a hundred percent channel, uh, at the same time they're hiring salespeople. I think they're up over 1500 salespeople right now, uh, which is, you know, we're getting there. I think it was less than that. Obviously when he came on, that's kind of the benchmark, although we don't really know exactly what, what the numbers are. They've kind of launched into public sector. They see what's happening with Amazon there, they see great opportunities. They see, you know, what, what Microsoft is doing. And so public sector, they have to put out bakeoffs so you gotta be in there and at differentiations still a lot of, okay, how can we leverage alphabet our search business and retail, our business and healthcare, um, and edge things like autonomous vehicles. There's, there's some opportunities there. And then as I said, they're doing some M and a two plus billion dollars for Looker, you know, great capability. So I think they're, they're executing on those four and we can talk about what that means in terms of, you know, revenue and position in the market. >>Well, yeah, Dave, maybe it makes sense to let let's, let's walk through the revenue, just so that people understand, you know, where they sit for the longest time it's been, you know, the number three or the number four where Alibaba said, uh, compared to them, but they are still far behind, uh, AWS and Azure. Uh, and have they been closing the gap at all? >>Well, if guys, if you could bring up that chart, that first one, uh, this is are, we really are estimates. You remember now AWS, every quarter gives us a clean number for their infrastructure as a service. And what we've got here is an estimate for full year 2018, 2019 that's calendar year, the growth rates, and then, uh, with a trailing 12 month view. And I think there's a couple of points here. One is you can see the growth. Google grew 89% last year. They were 70% in Q one 59% in Q two. So, so even though it's somewhat declining, they're growing faster than both Azure and AWS, of course, from a smaller base. I think the other thing, if you, if you go back and look at 2019, relative to AWS, Google was one 10th, the size of AWS. Now they're, you know, there's only eight X, so they're starting to close that gap, but still very much a, a quite a distance from the leaders. >>Yeah. Uh, John, maybe if we look at Google under Thomas Currian, of course there's been a real, uh, growth in hiring. So, you know, you're there in the Valley, John, we know lots of really smart people that have joined Google's great enterprise, uh, you know, pedigrees there as well as the ecosystem, uh, that, that wants to be able to partner with Google. You know, what are you seeing? What are you hearing? I like one of the interviews that you did, uh Suneel prody, uh, it was, it was the number two over at Nutanix. Uh, and now we've got an important role in Google cloud, >>Google hiring great people. I got to say, one of the things I'm impressed with is I've always liked the product people. They have great product chops. I'll ask the Google has come from a position of strength on the tech side being Google. Um, and, but the enterprise business is hard too, and they got to hire more enterprise DNA. They're trying to do that at the same time. They're trying to make the table stakes stuff done, move fast during the product side. And then at the same time, create the game changing product with like ant those for instance, um, and then have all those new features. So they're running as fast as they can. Um, they're building product as fast as they can. So you got, you know, developer and operator efficiency, which I love the strategy. However, when you run that fast, there's definitely debt. >>You take on both technical and market debt around trying to make a shortcut. So Google to me, the word in the Valley is great stuff with the people. Product is awesome, getting better, good product people, but still those enterprise features product reliability in terms of not sunsetting products early to, you know, making sure the right support levels are there. These are like the little details that make the difference between an enterprise player and someone who is essentially, you know, moving too fast, get new products being to agile. So yeah, it's a double edged sword for Google. We've said this all the time, but overall I'd give them a solid number three position and still haven't seen the breakout yet. I think ant those can be that if they keep pushing on this operator efficiency, but I just don't think the enterprise is ready for Google yet. And I think there's issues there. >>Yeah. John, you bring up a great point. I know the last couple of times we've been at the show, I feel like I'm scratching my head. It was like, wait, when did lift and shift become sexy? Yes, you want to meet the enterprises where they are, but how is that different from the message that we hear from Microsoft that we hear from AWS? Uh, one of the bigger announcements during the infrastructure week, uh, was about a new program, the rapid assessment and migration plan or ramp, uh, to help customers get from where they are, where they need to be. Uh, it's interesting because of course, if you, you know, for reinvent for years, we had all the systems integrators, helping customers move and migrate, uh, both AWS and Azure have lots of migration solutions out there. So, you know, how will Google differentiate themselves and make different there? >>Well, they don't, they don't really know. I mean, they have put stuff down on paper, but here's the problem that Google has to overcome to make it a truly a fast growing cloud player. They got to nail the product features that they need to be in the marketplace. And the ecosystem really wants to work with Google. I see retail is lay up for them and they're doubling down on that. They've got smart people working on this, but the ecosystem and adding product features are two major heavy lifts ecosystems about moneymaking. At the end of the day. I know that sounds kind of greedy in this era of empathy and missions and values, but at the end of the day, if you're not making your ecosystem money, which means keep products around support for a certain number of >>Years and have incentives economically for people to build software. They're not going to work on your platform. And I think Google needs to understand that. Clearly. I just don't see it. I mean, I just don't see people saying, I love Google so much. I'm making so much cash and success. Um, and they got some good products. You know, I, like I said, products on ecosystem are things they're going to ratchet up super fast. Well, there's a couple of places, a couple of partners they violated, like I said, durian wants to be a hundred percent channel-based channel fulfillment. And when you talk to the channel, they do tell you, yo Google there they're being aggressive. Deloitte, you know, they chart chart out as a big partner HCL. Now of course, those guys are all working with everybody, but they're starting to put resources around that in terms of training and certification. >>And of course, other, you know, much smaller resellers and partners. So that's, that's interesting, right? That being really super channel friendly, that's a differentiator to your point, John, that's making be do that because they're not coming from a position of strength channel. No, they are channel friendly. Can, you can say you're channel friendly, but if your product doesn't work, the channel will reject you instantly. They're, they're a, they're a tough critic and they need to have reliability. So again, this is not really a problem with Google. It's just a product is evolving fast at the same time, they're trying to roll out a channel. So if you want to have a good rental strategy, you gotta have a good one posture and programs, but the product has to be enabling and reliable. And if someone's building software on top of a cloud platform and stuff doesn't work or changes, that's more cost more cost means more training, more hiring. >>If someone leaves, how does it scale? These are like really important things around channel. Cause they have to sell to the customer and support their name's on the line. So again, channels and easy to say thing to do, but to actually do it with a product is hard. And I think Google has that challenge. And again, it's a challenge that they overcome. It will be a great opportunity. Well, and I think that's a good point because it wasn't, it was 2019 when I was like VMware SAP, full blown windows support. I mean, that's, that's really late to the game. And so as I say, product maturity is critical, but there are some, some winners there obviously in analytics, uh, I think big query as get, gets very, very high marks. So there's, there's some real pockets of, of, of positive positivity there. But you know, I would agree though, the maturity is a key factor for the channel to really go on. >>Well, right. If you look, John, you mentioned anthro Santos was the story last year. Uh, and it's, we're all talking about multicloud. Uh, much of the multi-cloud discussion has been, uh, due to Kubernetes. And if it wasn't for Google, we wouldn't have Kubernetes. The concern of course, is that Google took it, it open source. The CNCF took it as a foundation and customers went nuts with it and the other public cloud and even, you know, smaller cloud providers are getting as if not more value than Google is. So what you hear in the back channels, when you say, boy, Google brought this technology out district really help enable their platform. Well, AWS is still winning. AWS has plenty of solutions. They've got interesting things to get, you know, deep solutions, leveraging Kubernetes. Uh, and if you look at Google, they announced anthros last year, it's gone through some updates this year. >>Uh, you know, you both mentioned, uh, working with the partners. One of the things that jumped out at me, uh, there's now something called ant those attached clusters, which means that if I have somebody else's, you know, Kubernetes that is fully certified, I can, I can plug that in and work with Anthem. It was one of the gaps that I saw last year. You hear Google saying, we're partnering with VMware, we're partnering pivotal, but here's. And if you want to use OpenShift or PKS, you know, you need to come over to work with Anthem here. We are understanding that customers are going to have multiple environments and often multiple different Kubernetes solutions out there. Uh, you know, Dave, you mentioned like VMware, of course is a really important solution. VMware moving along and supporting more Kubernetes. Uh, and the, the update for the solution is the Google cloud VMware engine. >>And absolutely the number one use case they talked about is take your VMs, get them in the cloud and then start using those data and analytic services that are in the public cloud. So we're seeing some maturity here, but you know, Dave, if we look at the multicloud market, you know, it, Google's not the first company that typically comes to mind, you know, VMware, red hat, even Microsoft probably are a little bit higher on people's thoughts. You know, what have you been seeing? It's an area we've been spending a lot of time last couple of years hybrid and multicloud. >>Well, we have some data on this guys, if you would pull up that next graphic and this, this is observing data from our data partner ETR and what this shows on the vertical axis is the spending momentum. So are you spending more or less? And then it's really a net score, which in other words, to subtract the less from the morning when we have leftover that's, the vertical axis high is higher, is better. And then the horizontal axis is markets, bear really presence in the data set, and you can see the hyperscaler guys, you know, that's where you want to be Microsoft AWS. They're always sort of separating from the pack. You'd love to see Google. Is there a hyperscaler out there with those guys, but they're not one of the interesting things that we're seeing in the dataset Stu and John VMware cloud on AWS has really popped up. >>So this thing of this notion of hybrid as part of the cloud ecosystem and multi-cloud is really starting to have legs. And you can also see red hat with, with open shift and believe it or not even OpenStack as a telco, you see in that pop up as well as VMware cloud, which is comprises cloud foundation and other components. So you see that hybrid and multicloud zone. And I think, I think you got to put Google, you know, right there, you can see where IBM and Oracle are for just for context, they don't have the momentum, they don't have the market presence in cloud, but they have a cloud. So that's kind of how the landscape is. And I think Google, from a standpoint of ant dos, they, again, they have to be trying to be open, leverage their Coopernetties chops and try to differentiate from certainly AWS. I think your point is right on, I think Microsoft has a pretty strong story there, but Google's got a clean story and they're investing and I think it's a good position for them. Not as, not as good as the other two, but you're when you're coming from behind, you have to try to differentiate and they are. >>Yeah, well, Dave, you've always said the rich get richer when these markets, but now with COVID that they are getting richer. Amazon honestly, stock I'm billion trillion, $2 billion valuation for Apple Google on the cloud side. This is, I think that if they had more product leadership in certain areas, I think they'd be doing more, more with their cloud, but they have some IP that could come out of this post COVID growth strategy for them, where it could be a game changer. So if you look at security and you look at identity, and one of the things that caught my attention in the anthesis announcement was this, uh, this, uh, identity service that they have, which is like, uh, open ID kind of connect thing. Identity will be critical because Google has so much IP around, um, you know, um, user login information around the mobile on the mobile side. >>I mean, Jennifer Lynn on this many times that they could leverage that and really helped the edge secure. And from a user access standpoint, having identification in the Anthem would be great. And this whole modern application trend is kind of where the puck is going. So you're there kind of skating to that puck area. And also they're focused on operators. This multicloud thing hits a home run with operators, because if you can create an abstraction layer between multiple clouds and have this modern kind of top layer to it, you're in a good position, but the insiders here in Silicon Valley and in the industry that I talked, they were all saying that Google has huge IP in their network. They have a very solid network. So what's interesting to me, as a Google can take leverage some of those network pain points and then bring anthesis that connective tissue. They got a real opportunity, but they've got to pull it off, right? So covert hitting, probably the worst thing that could have happened to Google because they were just a couple feet from the goal line on this, on this market in terms of really exploding. But I think they're well positioned. I'm not down on Google at all. >>I think that, you know, I'm glad you brought that up, John, because I think Cove was a two edged sword for them. I just published last week in my breaking analysis this weekend, actually that there were three big tailwinds insecurity as a result of coal go away. And identity was one of those cloud of course, was, was the other one. And then endpoint security was the third. And so that's a, that's, that's a, you know, kind of good news for, for, for identity. The flip side of it is if you go back and look at where Amazon and Microsoft were in terms of their growth, relative to where Google is now, Amazon and Microsoft appear to have been growing larger. Now these things go in an S curve, you know, it's kind of an old guy that starts out slow and then gets really steep. So we may actually see Google accelerate. Uh, but >>I think you wait in that it may have to wait until after COVID. So it's really a Jewish store, good news on the identity side. And Google's well positioned, but necessarily bad news from a growth standpoint. Well, there's three areas to that. You know, you and I have been riffing on lately and we've, haven't published a lot yet because we're going to wait until we have our event cube con event in October. But there's three areas, I think ant those points too. And they even say this kind of in their own way, um, multicloud, which is customers, connecting customers anywhere and finding device and whatnot. So customer connection points, customer enterprises, improved developer, modernized developer, the developer market, and then three operators, three areas that are all moving trains. They're all shifting under their feet. So I think they're doing great on developer side because they have great traction. >>We've covered that with coop con and other areas have done amazing work operator efficiency, no problem. I think they got a lot of great credit there and are building and adding new stuff. It's the customer piece that's weak. They, I think they really got to continue to double down on what is the customer deployment, because let's face it, enterprise customers aren't as savvy as Google or the hyperscaler. So when you roll into main street enterprise, especially with Cova Dave, as you pointed out, are they sitting there really grokking Coobernetti's on bare metal? And at those they're like, shit, how do I keep my network alive? So it, I just think isn't a long yet operationally on the customer side. And I think that is a weakness, um, and on Google's formula and they got to just make that easier. >>Yeah, no, no great, great points there. Absolutely. In, in talking to a lot of the cloud customers, if they already have an existing relationship that's expanding or accelerating, that is a lot easier than choosing a new environment. So as Dave said, the rich get richer. Um, I mentioned that at, at the start, this is week seven of nine of what Google is doing. Um, we want to get both your, your viewpoints on this event, how they laid it out nine weeks, it's all done on demand. I know when they had the opening keynote, there was a decent rally point. You saw the usual Twitter stream out there. They had a nice median analyst program that kicked off at the beginning. For me personally, there's been some stuff that I've gone back infrastructure week. I watch this week for app modernization. There's definitely some announcements that I'm digging into, but I think overall what I see out there is people rallied at the beginning and then they kind of forgot that the event was going on. Um, you know, what are you seeing? You know, what, what's the new best practice on, you know, how long should an event be? How do you deliver it? How do you get engagement? >>Well, I mean, just to, you know, Tim, Dave will weigh in, but I'm pretty hardcore on my criticism of most of these virtual events, mainly because virtual event platforms and virtual event executions or whatnot, well known as a first kind of generation problem. No one's really been under this kind of disruption when they got to replicate their business value as quickly in an environment they weren't optimized or have the personnel for. So you're seeing a lot of gaps in these virtuals, kinda like multi-cloud and high, where you have tens of different definitions of how to do it. I think Google went to nine weeks cause they really didn't know what to do. And they left a lot of their ecosystem hanging out there because normally Google next is a huge show with great content presentations. Everything's up on YouTube anyway. So on demand is not a build value. >>The real value of Google next was the face to face interactions. The show floor, the ecosystem, the expo hall that is completely absent from the show here. And this is consistent with other events. And honestly, it's over nine weeks, Amazon re-invent, it's going to be over three weeks. And last year they had a music festival. How are they going to replicate that again, this is a huge negative shift for these vendors because they rely so much on these events to get the word out. So it's really hard. Um, so I, I I'm really impressed with the nine week program and the sense of kind of staging it out and kind of the summer of cloud, I would have done things a little bit differently if I was them in terms of making it more exciting, but it's just really difficult to command attention for the audience over nine weeks. >>And I think that's, if they had to go back and do a Mulligan, I would've, they would've probably would've done more activation around the digital rather than a bunch of on demand video. So at least I did something and didn't cancel now the good news is there's a slew of news. We can collaborate on, um, the virtual spaces, the internet. So people are talking, it's just that it's all distributed. No one knows who's there, right? So it's not like an industry event. It's just an online collection of videos like on YouTube. So I felt that lack of intimacy was probably my, my biggest critique. Um, but again, I think he just wanted to move forward and get this behind them. >>I think you nailed it, John. I mean, on the one hand they made it harder for themselves stretching it out over nine weeks. On the other hand, they kind of took the easy way out is putting it up on all on demand. I guess they have analyst programs too, but I felt like they, weren't certainly not even close to what you have in physical. And it's really hard to obviously replicate physical, but I've seen other programs where the intimacy with the analyst and the journalist was much higher and opportunities to have interactions with executives. I felt it was just a little bit removed, actually quite a bit removed would have loved to have seen just a more intimate one-on-one activity. Maybe not one-on-one, but, but one, one to many with a smaller group of analysts and journalists, I think that would have gone a long way. Um, and that, that was missing for me anyway. >>I mean, they could have done nine micro events every week with like a rallying point is to pointed out, um, just really a difficult, I mean, who, who was executing this event? I mean, they have an events team that's used to doing physical events, Moscone and whatever. It's just, they didn't, I don't think had the time to figure it out. Be honest with you. I mean, Google is a company known for search relevance, find what you're looking for and uh, organizing content. I just think they didn't do a good job at all. And I think I didn't have any much attention cycles to it because I was kind of keying in the news, but I didn't know where my friends were. Who's rallying is Stu there. I didn't even, do's tweeting, I'm not following it. Or I missed his tweet. So there's a lot of asynchronous, um, stuff going on with was no, you know, gravity around a community or ecosystem kind of moment where I could schedule an hour at 10 o'clock or multiple times >>Does the day to check in and go to the watering hole or some stuff, >>You know, hub or instance like that. So, you know, something that we're thinking a lot about David's, you know, and I think this is a moving, moving target, but what's clear is that you can create synchronicity and still have the asynchronous programs. So at least we learned that with the Docker con event that we did and the software that we're building. So, you know, virtual events, isn't about just the events, but what happens on inside the event, outside the event, after the event, I think people are too hung up on this. I got to have a portal walled garden model. So I think it's going to be a learning curve for everybody. And I think Google may or may not do nine weeks. We'll see what re-invent does with three weeks. How do you keep people's attention? But three weeks when they're not in Vegas? >>Well, you know, no, I think that physical or virtual, it's your opportunity to write the narrative, to set the tone or set the narrative. And you're seeing this with the conventions, with the political conventions, you know, they're, they're actually, you know, you don't necessarily watch the whole thing, but you get a good sense, you know, post virtual event, what the narrative is. And I think that's cause you know, the media picks it up and I think it's, it's imperative to really do a good job of interacting with the media. You know, the analysts, the ecosystem, the partners, I haven't talked to a ton of partners who have been totally engaged other than, you know, their one-on-one activity. So I think there's an opportunity there to, to really write that narrative, to set that narrative and keep it alive and that, that entices people to go back and watch the man. Then I didn't feel that hook here. >>Yeah, here's the problem that I see with has Google has this problem and Docker con did not have the problem and you know, self-serving, we did that software, but we designed it for this purpose. When I go to an event, you do guys too. But personally, when I go to an event face to face, I like to get a sense of what the collective group at the event is thinking. I fly there, I'm present. I can see the presentation. I can see the pack breakout sessions. I know it's not back. I can get a sense visually. And with my senses on what the collective voice of the group is at an event, does it suck? Is it good? How's the band? What it's, what's the hallway conversation. So I can feel that I had none of that with Google next. Okay. Like, I didn't know, five, no, I had no other than some random things on Twitter, I had no sense what the collective ecosystem thought of the event. >>And I think a lot of the events have that problem where you can do both. You could have the rallying moment where there's a group collective coming together and send people to do that and still have the asynchronous consumption, organizing the content. But that's one of the main benefits. What is what's, what's going on with it? What's the voice of this collective? How are people thinking about this? And who's there? Who can I connect with and maybe follow up with, I didn't feel that this was simply a bunch of videos posted fundamental. Yeah, absolutely. John, >>If you can't feel that energy, is there a Slack channel, is there some chat group, uh, is there some way that, that you can be involved? Uh, definitely a missed opportunity, especially Google's got great collaboration tools. They're tied into all of our calendars would have been something that they could, uh, make ways that we could engage and find out. All right, John and Dave, thank you so much for helping us, uh, you know, really dig through a lot, going on. As we said, this nine week event, uh, we we've got a playlist, uh, that we're, we're going to be broadcasting for some of the key executives. Got, got a lot of the news here. And after this week, which was at modernization, we do have a couple other interviews that will be, uh, coming out, uh, when we have them, but be sure to check out the cube.net, uh, for all the upcoming, as well as search, to be able to find the previous, uh, content there, reach out to at furrier at diva launch date, or meet at Stu for any feedback or comments. We'd love to get your feedback, especially in these times when we can't all be together. So thanks John and Dave for joining and I'm Stu Miniman. Thank you for watching the cube.

>>From around the globe covering Google cloud next. >>Hi, I'm Stu middleman and this is the cube coverage of Google cloud. Next, happy to welcome back to the program. One of our cube alumni, Clayton Coleman, he's the architect for Kubernetes and OpenShift with red hat Clayton. Thanks for joining us again. Great to see you. Good to see you. All right. So of course, one of the challenges in 2020 is we love to be able to get unity together. And while we can't do it physically, we do get to do it through all of the virtual events and online forum. Of course, you know, we had the cubit red hat summit cube con, uh, for the European show and now Google cloud. So, you know, give us kind of your, your state of the state 2020 Kubernetes. Of course it was Google, uh, taking the technology from Borg, a few people working on it, and, you know, just that this project that has just had massive impact on it. So, you know, where are with the community in Kubernetes today? >>So, uh, you know, 2020 has been a crazy year for a lot of folks. Um, a lot of what I've been spending my time on is, um, you know, taking feedback from people who, you know, in this time of, you know, change and concern and worry and huge shift to the cloud, um, working with them to make sure that we have a really good, um, you know, foundation in Kubernetes and that the ecosystem is healthy and the things are moving forward there. So there's a ton of exciting projects. I will say, you know, the, the pandemics had a, an impact on, um, you know, the community. And so in many places we've reacted by slowing down our schedules or focusing more on the things that people are really worried about, like quality and bugs and making sure that the stuff just works. Uh, I will say this year has been a really interesting one and open source. >>There's been much more focus, I think, on how we start to tie this stuff together. Um, and new use cases and new challenges coming into, um, what maybe, you know, the original Kubernetes was very focused on helping you bring stuff together, bring your applications together and giving you common abstractions for working with them. Um, we went through a phase where we made it easy to extend Kubernetes, which brought a whole bunch of new abstractions. And, and I think now we're starting to see the challenges and the needs of organizations and companies and individuals that are getting out of, um, not just in Kubernetes, but across multiple locations across placement edge has been huge in the last few years. And so the projects in and around Kubernetes are kind of reacting to that. They're starting to, um, bridge, um, many of these, um, you know, disparate locations, different clouds, multicloud hybrid cloud, um, connecting enterprises to data centers are connecting data centers to the cloud, helping workloads be a little bit more portable in of themselves, but helping workloads move. >>And then I think, you know, we're, we're really starting to ask those next big questions about what comes, what comes next for making applications really come alive in the cloud, um, where you're not as focused on the hardware. You're not focused on the details, which are focused on abstractions, like, um, you know, reliability and availability, not just in one cluster, but in multiple. So that's been a really exciting, uh, transition in many of the projects that I've been following. You know, certainly projects like Istio I've been dealing with, um, spanning clusters and connecting existing workloads in and, uh, you know, each step along the way, I see people sort of broaden their scope about what they want, uh, open source to help themselves. >>Yeah, I it's, it's, it's been fascinating to watch just the, the breadth of the projects that can tie in and leverage Kubernetes. Uh, you brought up edge computing and want to get into some of the future pieces, but before we do, you know, let's look at Kubernetes itself. Uh, one dot 19 is kind of where we are at. Uh, um, I already see some, some red stalking about one dot 20. Can you just talk about the, the, the base project itself contributions to it, how the upstream, uh, works and you know, how, how should customers think about, you know, their Kubernetes environment, obviously, you know, red hat with open shifts had a very strong position. You've got thousands of customers now using it, all of the cloud providers have their, uh, Kubernetes flavor, but also you partner with them. So walk us through a little bit about, you know, the open source, the project and those dynamics. >>The project is really healthy. I think we've got through a couple of big transitions over the last few years. We've moved from the original, um, you know, I was on the bootstrap steering committee trying to help the governance model. The full bootstrap committee committee has handed off responsibility to, um, new participants. There's been a lot of growth in the project governance and community governance. Um, I think there's huge credit to the folks on the steering committee today. Folks, part of contributor experience and standardizing and formalizing Kubernetes as its own thing. I think we've really moved into being a community managed project. Um, we've developed a lot of maturity around that and Kubernetes and the folks involved in helping Kubernetes be successful, have actually been able to help others within the CNCF ecosystem and other open source projects outside of CNCF be successful. So that angle is going phenomenally well. >>Uh, contribution is up. I think one of the tension points that we've talked about is, um, Kubernetes is maturing one 19, spent a lot of time on stability. And while there's definitely lots of interesting new things in a few areas like storage, and we have fee to an ingress fee too, coming up on the horizon dual stack, support's been hotly anticipated by a lot of on premise folks looking to make the transition to IPV six. I think we've been a little bit less focused on chasing features and more focused on just making sure that Kubernetes is maturing responsibly. Now that we have a really successful ecosystem of integrators and vendors and, um, you know, unification, the conformance efforts in Kubernetes. Um, there've been some great work. I happened to be involved in the, um, in the architecture conformance definition group, and there's been some amazing participation from, um, uh, from that group of people who've made real strides in growing the testing efforts so that, you know, not only can you look at, um, two different Kubernetes vendors, but you can compare them in meaningful ways. >>That's actually helped us with our test coverage and Kubernetes, there's been a lot of focus on, um, really spending time on making sure that upgrades work well, that we've reduced the flakiness of our test suites and that when a contributor comes into Kubernetes, they're not presented with a confusing, massive instructions, but they have a really clear path to make their first contribution and their next contribution. And then the one after that. So from a project maturity standpoint, I think 2020 has been a great great year for the project. And I want to see that continue. >>Yeah. One of the things we talked quite a bit about, uh, at both red hat summit, as well as, uh, the CubeCon cloud native con Europe, uh, was operators. And, you know, maybe I believe there was some updates also about how operators can work with Google cloud. So can you give us that update? >>Sure. There's been a lot of, um, there's been a lot of growth in both the client tooling and the libraries and the frameworks that make it easy to integrate with Kubernetes. Um, and those integrations are about patterns that, um, make operations teams more productive, but it takes time to develop the domain expertise in, uh, operationalizing large groups of software. So over the last year, um, know the controller runtime project, uh, which is an outgrowth of the Kubernetes Siggy lb machinery. So it's kind of a, an outshoot that's intended to standardize and make it easier to write integrations to Kubernetes that next step of, um, you know, going then pass that red hat's worked, uh, with, um, others in the community around, um, the operator SDK, uh, which unifying that project and trying to get it aligned with others in the ecosystem. Um, almost all of the cloud providers, um, have written operators. >>Google has been an early adopter of the controller and operator pattern, uh, and have continued to put time and effort into helping make the community be successful. And, um, we're really appreciative of everyone who's come together to take some of those ideas from Kubernetes to extend them into, um, whether it's running databases and service on top of Kubernetes or whether it's integrating directly with cloud. Um, most of that work or almost all of that work benefits everybody in the ecosystem. Um, I think there's some future work that we'd like to see around, um, you know, uh, folks, uh, from, um, a number of places have gone even further and tried to boil Kubernetes down into simpler mechanisms, um, that you can integrate with. So a little bit more of a, a beginner's approach or a simplification, a domain specific, uh, operator kind of idea that, um, actually really does accelerate people getting up to speed with, um, you know, building these sorts of integrations, but at the end of the day, um, one of the things that I really see is the increasing integration between the public clouds and their Kubernetes on top of those clouds through capabilities that make everybody better off. >>So whether you're using a managed service, um, you know, on a particular cloud or whether you're running, um, the elements of that managed open source software using an open source operator on top of Kubernetes, um, there's a lot of abstractions that are really productive for admins. You might use the managed service for your production instances, but you want to use, um, throw away, um, database instances for developers. Um, and there's a lot of experimentation going on. So it's almost, it's almost really difficult to say what the most interesting part is. Um, operators is really more of an enabling technology. I'm really excited to see that increasing glue that makes automation and makes, um, you know, dev ops teams, um, more productive just because they can rely increasingly on open source or managed services offerings from, you know, the large cloud providers to work well together. >>Yeah. You had mentioned that we're seeing all the other projects that are tying into Coobernetti's, we're seeing Kubernetes going into broader use cases, things like edge computing, what, from an architectural standpoint, you know, needs to be done to make sure that, uh, Kubernetes can be used, you know, meets the performance, the simplicity, um, in these various use cases. >>That's a, that's a good question. There's a lot of complexity in some areas of what you might do in a large application deployment that don't make sense in edge deployments, but you get advantages from having a reasonably consistent environment. I think one of the challenges everybody is going through is what is that reasonable consistency? What are the tools? You know, one of the challenges obviously is as we have more and more clusters, a lot of the approaches around edge involve, you know, whether it's a single cluster on a single machine and, um, you know, in a fairly beefy, but, uh, remote, uh, computer, uh, that you still need to keep in sync with your application deployment. Um, you might have a different life cycle for, uh, the types of hardware that you're rolling out, you know, whether it's regional or whether it's tied to, whether someone can go out to that particular site that you've been update the software. Sometimes it's connected, sometimes it isn't. So I think a need that is becoming really clear is there's a lot of abstractions missing above Coopernetties. Uh, and everyone's approaching this differently. We've got a get ops and centralized config management. Um, we have, uh, architectures where, you know, you, you boot up and you go check some remote cloud location for what you should be running. Um, I think there's some, some productive obstructions that are >>That, or haven't been, um, >>It haven't been explored sufficiently yet that over the next couple of years, how do you treat a whole bunch of clusters as a pool of compute where you're not really focused on the details of where a cluster is, or how can you define applications that can easily move from your data center out to the edge or back up to the cloud, but get those benefits of Kubernetes, all those places. And >>That >>This is for so early, that what I see in open source and what I see with people deploying this is everyone is approaching this subtly differently, but you can start to see some of those patterns emerge where, um, you need reproducible bundles of applications, things that help can do REL, or you can do with just very simply with Kubernetes. Um, not every edge location needs, um, uh, an ingress controller or a way to move traffic onto that cluster because their job is to generate traffic and send it somewhere else. But then that puts more pressure on, well, you need those where you're feeding that data to your API APIs, whether that's a cloud or something within your something within a private data center, you need, um, enough of commonalities across those clusters and across your applications that you could reason about what's going on. So >>There's a huge amount >>Out of a space here. And I don't think it's just going to be Kubernetes. In fact, I, I want to say, I think we're starting to move to that phase where Kubernetes is just part of the platform that people are building or need to build. And what can we do to build those tools that help you stitch together computer across a lot of footprints, um, parts of applications across a lot of footprints. And there's, there's a bunch of open source projects that are trying to drive to that today. Um, projects like I guess the O and K natives, um, with the work being done with the venting in K native, and obviously the venting is a hugely, um, you know, we talk about edge, we'd almost be remiss, not talk about moving data. And you talk about moving data. Well, you want streams of data and you want to be reacted to data with compute and K native and Istio are both great examples of technologies within the QB ecosystem that are starting to broaden, um, you know, outside of the, well, this is just about one cube cluster to, um, we really need to stitch together a mindset of development, even if we have a reasonably consistent Kubernetes across all those footprints. >>Yeah. Well, Clayton so important. There's so many technologies out there it's becoming about that technology. And it's just a given, it's an underlying piece of it. You know, we don't talk about the internet. We don't talk, you know, as much about Linux anymore. Cause it's just in the fabric of everything we do. And it sounds like we're saying that's where we're getting with Kubernetes. Uh, I'd love to pull on that thread. You mentioned that you're hearing some patterns starting to emerge out there. So when you're talking to enterprises, especially if you're talking 2020, uh, lots of companies, all of a sudden have to really accelerate, uh, you know, those transformational projects that they were doing so that they can move faster and keep up with the pace of change. Uh, so, you know, what should enterprise be, be working on? What feedback are you hearing from customers, but what are some of those themes that you can share and w what, what should everybody else be getting ready for that? >>The most common pattern I think, is that many people still find a need to build, uh, platforms or, um, standardization of how they do application development across fairly large footprints. Um, I think what they're missing, and this is what everyone's kind of building on their own today, that, um, is a real opportunity within the community is, uh, abstract abstractions around a location, not really about clusters or machines, but something broader than that, whether it's, um, folks who need to be resilient across clouds, and whether it's folks who are looking to bring together disparate footprints to accelerate their boot to the cloud, or to modernize their on premise stack. They're looking for abstractions that are, um, productive to say, I don't really want to worry too much about the details of clusters or machines or applications, but I'm talking about services and where they run and that I need to stitch those into. >>Um, I need to stitch those deeply into some environments, but not others. So that pattern, um, has been something that we've been exploring for a long time within the community. So the open service broker project, um, you know, has been a long running effort of trying to genericize one type of interface operators and some of the obstructions and Kubernetes for extending Kubernetes and new dimensions is another. What I'm seeing is that people are building layers on top through continuous deployment, continuous integration, building their own API is building their own services that really hide these details. I think there's a really rich opportunity within open to observe what's going on and to offer some supporting technologies that bridge clouds, bridge locations, what you deal with computed a little bit more of an abstract level, um, and really doubled down on making services run. Well, I think we're kind of ready to make the transition to say officially, it's not just about applications, which is what we've been saying for a long time. >>You know, I've got these applications and I'm moving them, but to flip it around and say, we want to be service focused and services, have a couple of characteristics, the details of where they run are more about the guarantees that you're providing for your customers. Um, we lack a lot of open source tools that make it easier to build and run services, not just to consume as dependencies or run open source software, but what are the things that make our applications more resilient in and of themselves? I think Kubernetes was a good start. Um, I really see organizations struggling with that today. You're going to have multiple locations. You're going to have, um, the need to dramatically move workloads. What are the tools that the whole ecosystem, the open source ecosystem, um, can collaborate on and help accelerate that transition? >>Well, Clayton, you teed up on my last thing. I want to ask you, you know, we're, we're here at the Google cloud show and when you talk about ecosystem, you talk about community, you know, Google and red hat, both very active participants in this community. So, you know, you, you peer you collaborate with a lot of people from Google I'm sure. So give our audience a little bit of insight as to, you know, Google's participation. What, what you've been seeing from them the last couple of years at Google has been a great partner, >>Crazy ecosystem for red hat. Um, we worked really closely with them on Istio and K native and a number of other projects. Um, I, you know, as always, um, I'm continually impressed by the ability of the folks that I've worked with from Google to really take a community focus and to concentrate on actually solving use cases. I think the, you know, there's always the desire to create drama around technology or strategy or business and open source. You know, we're all coming together to work on common goals. I really want to, um, you know, thank the folks that I've worked with at Google over the years. Who've been key participants. They've believed very strongly in enabling users. Um, you know, regardless of, um, you know, business or technology, it's about making sure that we're improving software for everyone. And one of the beauties of working on an open source project like Kubernetes is everyone can get some benefit out of it. And those are really, um, you know, the sum of all of the individual contributions is much larger than what the simple math would apply. And I think that's, um, you know, Kubernetes has been a huge success. I want to see more successes like that. Um, you know, working with Google and others in the open source ecosystem around infrastructure as a service and, you know, this broadening >>Domain of places where we can collaborate to make it easier for developers and operations teams and dev ops and sec ops to just get their jobs done. Um, you know, there's a lot more to do and I think open source is the best way to do that. All right. Well, Clayton Coleman, thank you so much for the update. It's really great to catch up. It was a pleasure. All right. Stay tuned for lots more coverage. The Google cloud next 2020 virtually I'm Stu Miniman. Thank you for watching the cube.

>> Announcer: From around the globe, it's theCUBE. Covering Google Cloud Next on Air '20. >> Hi, I'm Stu Miniman. And this is theCUBE's coverage of Google Cloud Next On Air. One of the weeks that they had for the show is to dig deep into infrastructure, of course, one of the foundational pieces when we talk about cloud, so happy to welcome to the program, I've got two of the general managers for both compute and networking. First of all, welcome back one of our cube alumni, June Yang, who's the vice president of compute and also welcoming Shailesh Shukla who's the vice president and general manager of networking both with Google Cloud. Thank you both so much for joining us. >> Great to be here. >> Great to be here, thanks for inviting us Stu. >> So June, if I can start with, you know, one of the themes I heard in the keynote that you gave during the infrastructure week was talking about, we talked about meeting customers where they are, how do I get, you know, all of my applications that I have, obviously some of them are building new applications. Some of them I'm doing SaaS, but many of them, I have to say, how do I get it from where I am to where I want to be and then start taking advantage of cloud and modernization and new capabilities. So if you could, you know, what's new when it comes to migration from a Google Cloud standpoint and, you know, give us a little bit insight as to what you're hearing from your customers. >> Yeah, definitely happy to do so. I think for many of our customers, migration is really the first step, right? A lot of the applications on premise today so the goal is really how do I move from on prem to the cloud? So to that extend, I think we have announced a number of capabilities. And one of the programs that are very exciting that we have just launched is called RAMP program which stands for Google Cloud Rapid Assessment and Migration Program. So it's really kind of bundling a holistic approach of you know, kind of programs tooling and you know, as well as incentives altogether to really help customer with that kind of a journey, right? And then also on the product side, we have introduced a number of new capabilities to really ease that transition for customer to move from on premise to the cloud as well. One of the things we just announced is Google Cloud VMware Engine. And this is really, you know, we built as a native service inside Google as a (indistinct) to allow customer to run their VMware as a service on top of Google infrastructure. So customers can easily take their, you know, what's running on premise, that's running VMware today and move it to cloud was really no change whatsoever and really lift and shift. And your other point is really about a modernization, right? Cause most of our customers coming in today, it's not just about I'm running this as a way it is. It's also, how do I extract value out of this kind of capability? So we build this as a service so that customer can easily start using services like BigQuery to be able to extract data and insights out of this and to be able to give them additional advantages and to create new services and things like that. And for other customers who might want to be able to, you know, leverage our AI, ML capability, that's at their fingertips as well. So it's just really trying to make that process super easy. Another kind of class of workloads we see is really around SAP, right? That's our bread and butter for many enterprises. So customers are moving those out into the clouds and we've seen many examples really kind of really, allow customers to take the data that's sitting in SAP HANA and be able to extract more value out of those. Home Depot is a great example of those and where they're able to leverage the inquiry to take, you know, their stockouts and some of the inventory management and really to the next level, and really giving a customer a much better experience at the end of the day. So those are kind of just a few things that we're doing on that side to really make you a customer easy to lift and shift and then be able to modernize along the way. >> Well yeah, June, if I would like to dig in a little bit on the VMware piece that you talked about. I've been talking of VM-ware a bit lately, talking to some of their customers leveraging the VMware cloud offerings and that modernization is so important because the traditional way you think about virtualization was I stick something in a VM and I leave it there and of course customers, I want to be able to take advantage of the innovation and changes in the cloud. So it seems like things like your analytics and AI would be a natural fit for VMware customers to then get access to those services that you're offering. >> Yeah, absolutely. I think we have lots of customers, that's kind of want to differentiators that customers are looking for, right? I can buy my VMware in a variety of places, but I want to be able to take it to the next level. How do I use data as my differentiator? You know, one of the core missions as part of the Google mission is really how do we help customers to digitally transform and reimagine their business was a data power innovation, and that's kind of one key piece we know we want to focus on, and this is part of the reason why we built this as really a native service inside of Google Cloud so that you're going through the same council using, you know, accessing VMware engine, accessing BigQuery, accessing networking, firewalls, and so forth, all really seamlessly. And so it makes it really easy to be able to extend and modernize. >> All right, well, June one of the other things, anytime we come to the Cloud event is we know that there's going to be updates in some of the primary offerings. So when it comes to compute and storage, know there's a number of announcements there, probably more than we'll be able to cover in this, but give us some of the highlights. >> Yeah, let me give some highlights I mean, at the core of this is a really Google Compute Engine, and we're very excited we've introduced a number of new, what we call VM families, right? Essentially different UBM instances, that's catered towards different use cases and different kinds of workloads. So for example, we launched the N2D VM, so this is a set of VMs on EMD technology and really kind of provide excellent price performance benefit for customers and who can choose to go down that particular path. We're also just really introduced our A2 VM family. This is based on GPU accelerator optimized to VM. So we're the first ones in the market to introduce NVIDIA Ampere A 100. So for lots of customers who were really introduced, we're interesting, you know, use GPU to do their ML and AI type of analysis. This is a big help because it's got a better performance compared to the previous generation so they can run their models faster and turn it around and turn insights. >> Wonderful. Shailesh, of course we want to hear about the networking components to, you know, Google, very well known you know, everybody leverages Google's network and global reach so how about the update from your network side? >> Absolutely. Stu, let me give you a set of updates that we have announced at next conference. So first of all as you know, many customers choose Google Cloud for the scale, the reach, the performance and the elasticity that we provide and ultimately results in better user experience or customer experience. And the backbone of all of this capability is our private global backbone network, right? Which all of our cloud customers benefit from. The networking is extremely important to advance our customers digital journeys, the ones that June talked about, migration and modernization, as well as security, right? So to that end, we made several announcements. Let's talk about some of them. First we announced a new subsea cable called the Grace Hopper which will actually run between the U.S. on one side and UK on the other and Spain on another leg. And it's equipped with about 16 fiber pairs that will get completed in 2022. And it will allow for significant new capacity between the U.S. and Europe, right? Second Google Cloud CDN, it's one of our most popular and fast-growing service offerings. It now offers the capability to serve content from on prem, as well as other clouds especially for hybrid and multicloud deployments. This provides a tremendous amount of flexibility in where the content can be placed and overall content and application delivery. Third we have announced the expansion of our partnership with Cisco and it's we have announced this notion of Cisco SD-WAN Cloud Hub with Google Cloud. It's one of the first in the industry to actually create an automated end to end solution that intelligently and securely, you know, connects or bridges enterprise networks to any workload across multiple clouds and to other locations. Four, we announced a new capabilities in the network intelligence center. It's a platform that provides customers with unmatched visibility into their networks, along with proactive kind of network verification, security recommendations, and so on. There were two specific modules there, around firewall insights and performance dashboard that we announced in addition to the three that already existed. And finally, we have a range of really powerful announcements in the security front, as you know, security is one of our top priorities and our infrastructure and products are designed, built and operated with an end to end security framework and end to end security as a core design principle. Let me give you a few highlights. First, as part of making it easy for firewall management for our customers to manage firewall across multiple organizations, we announced hierarchical firewall. Second, in order to enable, you know, better security capability, we announced the notion of packet metering, right? So which is something that we announced earlier in the year, but it's now GA and allows customers to collect and inspect network traffic across multiple machine types without any overhead, right? Third is, in actually in our compute and security teams, we announced the capability to what we call as confidential VMs, which offer the ability to encrypt data while being processed. We have always had the capability to encrypt data at rest and while in motion, now we are the first in the industry to announce the ability to encrypt data even while it is being processed. So we are really, you know, pleased to offer that as part of our confidential computing portfolio. We also announced the ability to do a managed service around our cloud armor security portfolio for DDoS web application and bot detection, that's called Cloud Armor Managed Protection. And finally we also announced the capability called Private Service Connect that allows customers to connect effortlessly to other Google Cloud services or to third party SaaS applications while keeping their traffic secure and private over the, in kind of the broader internet. So we were really pleased to announce in number of, you know, very critical kind of announcements, products and capabilities and partnerships such as Cisco in order to further the modernization and migration for our customers. >> Yeah, one note I will make for our audience, you know, check the details on the website. I know some of the security features are now in data, many of the other things it's now general availability. Shailesh, follow up question I have for you is when I look in 2020, the internet patterns of traffic have changed drastically. You saw a very rapid shift, everyone had needed to work from home, there's been a lot of stresses and strains on the network, when I hear things like your CDN or your SD-WAN partnership with Cisco, I have to think that there's, you know, an impact on that. What are you seeing? What are you hearing from your customers? How are you helping them work through these rapid changes to be able to respond and still give people the, you know, the performance and reliability of traffic where they need it, when they need? >> Right, absolutely. This is a, you know, very important question and a very important topic, right? And when we saw the impact of COVID, you know, as you know Google's mission is to be, continue to be helpful to our customers, we actually invested and continue to invest in building out our CDN capability, our interconnect, the capacity in our network infrastructure, and so on, in order to provide better, for example distance learning, video conferencing, e-commerce, financial services and so on and we are proud to say that we were able to support a very significant expansion in the overall traffic, you know, on a global basis, right? In Google Clouds and Google's network without a hitch. So we are really proud to be able to say that. In addition there are other areas where we have been looking to help our customers. For example, high performance computing is a very interesting capability that many customers are using for things such as COVID research, right? So a good example is Northeastern University in Boston that has been using, you know, a sort of thousands of kind of preemptable virtual machines on Google Cloud to power very large scale and a data driven model and simulations to figure out how the travel restrictions and social distancing will actually impact the spread of the virus. That's an example of the way that we are trying to be helpful as part of the the broader global situation. >> Great. June, I have to imagine generally from infrastructure there've been a number of other impacts that Google Cloud has been helping your customers, any other examples that you'd like to share? >> Yeah, absolutely. I mean, if you look at the COVID impact, it impact different industries quite differently. We've seen certain industries that just really, their demand skyrocketed overnight. For example you know, I take one of our internal customer, Google, you know, Google Meet, which is Google's video conferencing service, we just announced that we saw a 30X increase over the last few months since COVID has started. And this is all running on Google infrastructure. And we've seen similar kind of a pattern for a number of our customers on the media entertainment area, and certainly video conferencing and so forth. And we've been able to scale to beat these key customer's demand and to make sure that they have the agility they need to meet the demand from their customers and so we're definitely very proud to be part of the, you know, part of this effort to kind of enable folks to be able to work from home, to be able to study from home and so on and so forth. You know, for some customers, you know, the whole business continuity is really a big deal for them, you know, where's the whole work from home a mandate. So for example, one of our customers Telus International, it's a Canadian telecommunication company, because of COVID they had to, you know, be able to transition tens and thousands of employees to work on the whole model immediately. And they were able to work with Google Cloud and our partner, itopia, who is specializing in virtual desktop and application. So overnight, literally in 24 hours, we're able to deploy a fully configured virtual desktop environments from Google Cloud and allow their employees to come back to service. So that's just one example, there's hundreds and thousands more of those examples, and it's been very heartening to be part of this, you know, Google to be helpful to our customer. >> Great. Well, I want to let both of you just have the final word when you're talking to customers here in 2020, how should they be thinking of Google Cloud? How do you make sure that you're helping them in differentiating from some of the other solutions and the environment? May be June if we could start with you. >> Sure, so at Google Cloud, our goal is to make it easy for anyone you know, whether you're big big enterprises or small startups, to be able to build your applications, to be able to innovate and harness the power of data to extract additional information, insights, and to be able to scale your business. As an infrastructure provider, we want to deliver the best infrastructure to run all customers application and on a global basis, reliably and securely. Definitely getting more and more complicated and you know, as we kind of spread our capacity to different locations, it gets more complicated from a logistics and a perspective as well so we want to help to do the heavy lifting around the infrastructure, so that from a customer, they can simply consume our infrastructure as a service and be able to focus on their businesses and not worry about the infrastructure side. So, you know, that's our goal, we'll do the plumbing work and we'll allow customers innovate on top of that. >> Right. You know, June you said that very well, right? Distributed infrastructure is a key part of our strategy to help our customers. In addition, we also provide the platform capability. So essentially a digital transformation platform that manages data at scale to help, you know, develop and modernize the applications, right? And finally we layer on top of that, a suite of industry specific solutions that deliver kind of these digital capabilities across each of the key verticals, such as financial services or telecommunications or media and entertainment, retail, healthcare, et cetera. So that's how combining together infrastructure platform and solutions we are able to help customers in their modernization journeys. >> All right, June and Shailesh, thank you so much for sharing the updates, congratulations to your teams on the progress, and absolutely look forward to hearing more in the future. >> Great, thank you Stu. >> Thank you Stu. >> All right, and stay tuned for more coverage of Google Cloud Next On Air '20. I'm Stu Miniman, thank you for watching theCUBE. (Upbeat music)

(upbeat music) >> Instructor: From around the globe. It's theCUBE covering Google Cloud Next OnAir 20. >> Welcome to theCUBE's coverage, virtual coverage of Google Next OnAir. I'm John for host theCUBE, We're here in Palo Alto California, for our remote interviews, part of our quarantine crew, getting all the stories that matter, Google Next OnAir, continuous event through the summer. We're calling it the summer of cloud. We've got two great guests here. Sunil Potti general manager and vice president of cloud security at Google Cloud. and Orion Hindawi co founder and CEO of Tanium. Gentlemen, thank you for coming on today, appreciate it. Great event you guys have on the continue. I'll call it the summer cloud. It's a lot of events that Google's having, So you guys and your team are doing a great job, but there's some hard news. You guys are announcing an expanded partnership together. Sunil tell us what is the news today. >> John, first of all, great to see you again, love being on theCUBE any time, and it's my honor to actually share the stage this time around with Orion and the Tanium team. So essentially what we're announcing today, is the fact that, as most of you know, especially in the new normal with a distributed workforce, and potentially it being the safer normal, down the road it presents, an unprecedented opportunity, I think in our opinion, that we can use this to accelerate potentially safer posture that otherwise would have taken years to build into the enterprise ecosystem that we could now bring forward, in a potentially, you know, in the year 2020 or 2021. So the primary announcement, is based on the fact that, Tanium's, you know, core enterprise offering and Google clouds, chronicle offering are coming together, to build a full stack offering for endpoint detection and response so that customers can have an end to end offering. That's both powerful, and you know, easy to use. All the way from the detection, response, remediation and analytics, all built together into one seamless, easy to consume offering for the global enterprise and being delivered in such a way that it can take into account organizations of thousands of employees or hundreds of thousands of employees. All by the same cloud native solution. >> All right how about why you're excited about this deal. What's different about it. Obviously there's a relationship here, what's so exciting about this story. >> Yeah, I think, you know, Orion to comment as well, but look, I think the key thing that we sort of partnered on initially was a customer driven, you know, technology centric integrations, where, you know, we went deep from a chronical perspective, to ensure native integration, between Tanium products to send signals, out of the box, as well as curated, enhanced, enriched, so that they could be actionable responses taken by Tanium solutions as well on behalf of security analysts, as part of our journey, to kind of reinvent the SOC of the future. Right? And so essentially, it's been a deliberate effort by both teams to not provide incremental integrations, but something that offers a reimagined safety posture, especially that's enhanced, I would say amplified, in a world where pretty much every employee, is essentially a tech director now. But otherwise was not the case, when they were working in a normal enterprise office. >> All right, what's your take on this? I'll say what's different I'll say big news. >> Sure, yeah. I mean, if you look at why we decided that Google would have been the perfect partner for us, we have very large enterprises. We work with about 70 of the fortune 100, the USOD, a lot of these very large environments, and many of them were coming to us and telling us two things. The first one was the amount of data, that they were generating, that they needed to be able to process and analyze and be able to find insight from, was going exponentially up. And the second one was, in the new kind of post COVID world, the amount of work from home risks that they were seeing, and the kind of perfection they needed to achieve, on finding threats quickly and neutralizing them was actually also going up. And so between those two things, we started really looking for a partner, that we could accelerate with, to provide our customers with true world-class data analytics, retention, being able to visualize that data and then being able to act on that data through Tanium. And I think that the partnership that we've struck with Google and the work we've done with them, to make this seamless for our customers, to make it scale really well, even for the largest managed networks, is something we're really proud of. >> What's the history between Chronicle and Tanium. What's the, how far back does it go, and how would you guys categorize this time and point in time in terms of evolution of that partnership? >> So maybe I'll take a stab Sunil, then you can take one as well, you know. We've been working with Chronicle now for over a year. And we've got customers, who kind of pointed us in this direction, which is how we love to start partnerships. We had some customers who had a lot of faith, that Google was going to be able to crack this nut. And honestly many of our customers had been really struggling with this, with their current vendors at the time, for years. And we're really looking for Google, because Google was the company, that they saw as having the most credibility with massive, massive data sets. What we got surprised by actually, was that there were a bunch of different legs of the stool, that we could work with Google on. So not only data retention of Chronicle, but things like zero trust, which I think many people know Google actually invented the concept of. When we start thinking about thin client management. So we actually found that, there's a really expansive partnership here. And what we're doing with Chronicle, I think is the first kind of instantiation of that. But we expect that over the next even years, we've got a lot of room to run with Google, to really secure and help our customers. >> Sunil talk about the wave that you're riding on right now. 'Cause obviously the reality is, I won't use the term new normal, but the new reality is, COVID has forced everyone to look at basically an unexpected disruption that no one saw coming. Yeah, we can prepare for disasters and floods and hurricanes and whatnot, but this is unforeseen everybody working at home. I mean, I can imagine all the VPN vendors, freaking out who even needs a VPN. So, you know, the access methods is everything, it's mobile, home, home is the new office. It's not just, you know, connect to an access point, my son's gaming, my daughter is watching Netflix. I'm trying to do some video conferencing and it's a mix of consumer business all happening. This is a complex environment now. What does this mean? This relation, how does this connect the dots? Can you, can you expand on that. >> Yeah, I mean I think I hinted on this a little bit at the beginning John, is that, we think, you know, this is an, you know, an unprecedented opportunity to help accelerate digital transformation, that otherwise would have taken a few years for many enterprises to get to. That can now be done potentially in months and for some customers maybe even in weeks. And some examples of that, that we've seen are that, look, if you just took, if you just take Google as an company, to Orion's point, look, we invested many years worth of technology and IP that now we're slowly bringing out in the form of BeyondCorp product sets. But essentially of the fact that look, we should treat every employee as if they were a remote worker. We don't trust the network, we basically break transitive properties, which was one of the foundational issues with security in the enterprise, where I trust a network and the network is trusted by a desktop. And then if you penetrate one, you can penetrate everything else in the chain. And so when COVID hit, we went from essentially pretty much, a hundred thousand plus employees, working in distributed headquarters, but within the Google environment, to working from home within a week later, but retained the same sort of like, not productive the levels just, but actually the same safety levels that were much stronger. And so in many cases, what we are announcing, is that even though enterprises have come forward and said, look, yeah, we have some PaaS work solutions, just because this is a major change for us. Now that we are in it, for not just three months or six months, but potentially a longer period of time. Why not take the opportunity to replatform our security environments, so that we can actually be in a better state, when we actually exit out of this. We might actually never go back full time, but it can actually be a hybrid environment. So that's part of the reason, why I think we are so jazzed about the partnership, is that these are two examples, of products coming together to help replatform, at least one sets of, you know, traditional, if I can call it weaklings in the security ecosystem, that can now be sort of like replatformed. >> I was doing an interview actually last week, and I was kind of riffing on this idea. This is one big IoT experiment. I mean, people are devices here and everyone's connected, but it's all remote. It's changed the patterns of work and traffic and all kinds of paradigms. But this brings up the issue of the customer challenge. Everyone's going to look up their environment saying, look at, we now know the benefit of cloud it's clear. But I got to rethink the projects that are on the table, and get rid of the ones, that aren't going to be relevant, to where the world has shifted. It's not even a question of digital transfer. It's like, okay, what am I doubling down on. And what am I going to eliminate from the picture. So I've got to ask you guys, if you guys can comment, if I'm a customer that's what's going through my head, I got to survive, reinvent the foundation, and come out with a growth strategy, with a workforce, workplace, workloads, and workflows that are completely different. What's in it for me. What does this mean to me. This partnership, so how do you help me. What's in it for me. >> So I might take a stab at that, you know, I think that a lot of our customers, if we look at where they were at the beginning of the year, they'd been building on a pretty creaky foundation and just adding more and more layers to it. So, you know, in the security side, many of our customers have 20 or 30 or 50 different tools. And many of them are there, because they were there yesterday. They're not actually, if you were going to zero base budget, the way you were going to do security, they wouldn't be the tools you'd choose. And the interesting thing about this whole work from home transition, it is effectively a zero based budget for security, because a lot of the tools just basically don't work. So you think about a lot of the network tools, and when everybody's working from home, you don't own the network. You think about a lot of even the endpoint tools, that assumed that devices would be behind that network perimeter, and now just don't work over the internet. And so when we look at our customers, they're realizing they have to replatform, their security model, anyway. And what they're doing is they're now picking again. And what they get to do is they get to pick the platforms that they now trust in 2020, with the work from home environment as it is. And I think what it gives you as a customer, is a huge simplification of your environment. I mean, we talk to people every day, who were used to operating those 20 or 30, 50 tools, and they were spending 90% of their energy just operating those tools, not actually improving security and they were falling behind. If you look at what they're able to do now, they actually can go back to a starting point, where they think about what is the real threat I'm facing. What are the real platforms, I should be choosing today. And we're actually seeing huge increases, in our customer kind of adoption of our platform because that resistance to change, has been removed. People can't resist change anymore, change has come, and as a result of that, they get to choose what they would like now. >> That's a huge point, I want to just double down on that and redirect, and then we'll go to Sunil and his commentary, but I think you just hit the nail on the head. We're seeing the same kind of commentary. You said it really eloquently, but the thing is that, okay, let's just, if you believe what you just said, which I do going into zero base budgeting decisions, fresh look and everything. The problem is people are looking at the decisions and comparing what the bells and whistles were from the tools. So how do you advise customers to rethink like, okay, if it's a fresh look, it's a fresh look. It's not like, okay, the way we did it before, so a lot of times when you were evaluating products, a group gets to say, it doesn't have this bell or this whistle, 'cause that's the way we did it before. So you got to kind of separate out, this idea of you're got to go that direction. It's a full, fresh look. So how are customers doing that, 'cause that's really difficult. >> It's a super relevant question for today's world, because I think you're absolutely right. If you talk to the person who operated the compliance tool in a big bank, and you ask them, what do you need from that tool? They very quickly get the things, that if you just take the question, which is, I need to do compliance for the bank, what do I need to do compliance effectively? And you look at the answer that they give you, which is I need this check box here. I need this button here. I need this kind of minutiae that I'm used to, to be consistent with what I've been used to, for the last 10 years. Those two things are not the same. And what we've really been encouraging our customers to do is take a look back at your requirements. So you are processing credit cards, you need to be PCI regulated. You need to be able to answer to your vendors, how many copies of their software you're using. You need to be able to find an attacker, who's moving around your environment, and do that as quickly as possible. And then let's build from there what capabilities you need. And let's forget about whether the color scheme, of the logo at the top of the report is the same. Let's talk about the core capabilities. And it's a very freeing conversation actually, because what a lot of people start realizing, is they've been maintaining the status quo, for reasons that actually have nothing to do with efficacy, they have to do with comfort. And the curse and the beauty of the last six months, is no one's comfortable. So I don't care how comfortable you are with your tools. No one I know is comfortable today. And what it's giving us, is an opportunity to look past the old school comfort and think about how do we transition to the future. And I think it's actually going to galvanize a lot of positive change. You know, I was saying this before we went on air, but I don't think anybody wished, that COVID was the way, that we would end up in a position, where people have the appetite for change. But if there's a silver lining in the situation, that's it. And I really think that the CIOs and CEOs and CFOs and CSOs, really across the board, need to take advantage of the fact, that there's a discontinuity here, that allows us to throw out the old, and bring in things that are much more effective. >> Sunil that's some great tea up for you, because what he's saying basically saying is if you don't focus on the check boxes, because it was reasons why, and they'll give you, there's a long list, probably RFPs are the same way, we check in the boxes, okay, throw that out. And then you can, by the way, you can innovate on those check boxes differently, but still achieve the same outcome. I get that. But for Google Cloud, you guys have a great network. It's well known in the industry. Google's got a phenomenal network, hence powering Android and all the servers. We know that, with a cloud player, this is a great opportunity for you guys to be a fresh candidate for this kind of change. How are you guys talking about this internally? Because this really is, the goalposts have been moved and in favor of who can deliver. >> I think as both of you have been talking about, I think, look, I think the way I will, you know, maybe color this is, you know, when consumers got to a safer posture with the advent of iPhone, right? Even though it was much more productive, delightful, and there's a bunch of other things, ultimately though, if anything, things became safer, when you actually did computing on a phone. Just because it was an opinionated stack. Ultimately we believe, whether you come to cloud completely or you consume some stacks, the more opinionated they are, that's ultimately the only way, to reduce these moving parts that expose us to security issues. And that principle applied by the way in reliability too, right? I mean, you have to simplify stuff for things to actually work at six nines and so forth. So same things, apply in security. So imagine a world, where every employee now is sitting at home, maybe two years from now, they come back, they work in the Starbucks, but we had a virtual Chromebook experience, because a physical Chromebook of course, it's a goal to kind of get that out there, because on one hand we have the cloud, which is a full stack opinionated offering, but there's various elements of computing, still dispersed in the environment. And you were talking about IoT. Eventually we will get there, but just look at the employee's laptop, but productivity station and imagine the construct of a virtual Chromebook off, and that's an opinionated stack. And that's essentially a variant of what the joint offering between the two companies is essentially, you know, sort of aspiring to, is to provide that level of, you know, clarity and opinionation, that actually genuinely solves for some foundational security issues. And in doing so, you now have, an opinionated stack close to the user, the enterprise user is an opinion stack via mobile phones, close to the consumer user. And for all enterprises from a computing side, there's an opinion stack, whether it be Google or some of the other public clouds, right? And ultimately I think the world will move, into these few sets of these opinionated stacks at various points of control. And at least this particular partnership, is around making the first step towards, potentially one of those opinionated stacks, virtual Chromebook like experience, for the enterprise use. >> And I think this is the beginning, of the wave of the reality, that the edge of the network, whatever you want to call it. And you see this with end point detection, right I mean, everything's an endpoint now. I mean, I still think every, this is one big IoT device, and everything is just moving around. So zero trust is a big part of it, Google cloud, and this relationship kind of brings that to the next level. How does zero trust, attaining a mission intersect here. Because I mean, I see some obvious ones, we just talked about it, but what's the connection. >> Yeah, I think we'll hopefully, you know, talk more about it later in the year, as well as we can to come out with more integrations. But at the high level, I think the way to think about this would be, imagine that device as you were talking about, having an ability to actually send a strong set of signals, not just for detection and response, but for actually enforcing, you know, authentication and authorization as well, because ultimately identity needs to intersect, with the current stack, that we currently have between the two companies. And so when identity of the user, identity of the device, identity of you know, the context in which, you know, someone actually allows a user to access an application, these are all net new things, that need to be brought into the solution. We cannot then provide both the, you know, not just a safe way to kind of provide an, you know, an endpoint detection and response kind of opinion stack, but also essentially meet that part of an uber zero trust offering, that a customer can consume to ensure that look, you know, ultimately look, it doesn't really matter whether the employees at home they're using their own laptop. They're at Starbucks. They can come back to work, but ultimately they have this virtualized, sort of security ring, that protects and always constantly authorizes authenticates and provides a bunch of this security operations capabilities. So anyway, the simple answer is, you know, once we intersect identity, and a slew of BeyondCorp capabilities, into the current offering, that's how the next step towards, a more formidable zero trust offering force. >> Okay, Orion I'd love to get your thoughts, but if you both can answer question, that'd be great. I'd love to get your thoughts, a little gamification here. If you had to put the headline out on this news. Not the one on the press release, that's like perfectly written, like, I mean, bumper sticker. what is the real meaning, of this relationship in this news? If you had to put a headline out there, I think Washington, think New York post style maybe, or you know, something that can describe the news. >> I mean, I will admit, I am not known for being good at soundbites, so, I'll give you the one sentence, and you can help me pare it down. But I mean, really what it is, is I think Tanium got, the highest fidelity and point visibility and control out there. And I think Google's got the best data storage analytics retention cross-referencing we've ever seen. And when you combine those two things, it's incredibly powerful, for our enterprise users, and we've already seen customers, where it's been transformative. >> So you need a headline, that's good though , that's fine. You know, point projection solid. >> I think it's a much more descriptive nature, frankly, but I think my logical tagline, that I just keep, you know, sort of like the sound, but soundbite that I keep referring to is. Looking out the world needs a virtual Chromebook, to really feel safe at an end point level. And this is sort of like the first instantiation, of that core stack, that can at least get enterprise to start on that journey. >> You know, I think you guys run something really big here. And one of my personal observations, is one is the complexity of the telemetry coming, and I can see how you would go in there and connecting the dots between Google's backend, and your stuff coming together. You need to have that high powered energy, from the resource, but also there's a human element. People are working at home, whether you're a teacher, you're getting fished their spear fish, to targeted social engineering. So as people come home, and there's now multiple access points, there's more surface area. So every single endpoint needs to be protected. And I think people are kind of in the normal world, or outside of the tech industry saying, Oh, I get it now. We're not really protected. And this is not just sensor networks, or, you know, OT technology, you know, OT, it's really humans. And this is really where it's going. Isn't it guys? >> Okay. >> You should take it there, look, I think we do have a foundational principle here, which says, look as demonstrated in a postcode world, but your point John, or whether it be IoT, just distributed computing in general continues to expand. We should just assume, that the surface area for security issues only expense, right? And rather than trying to kind, of do a vacuum all of the surface area, what if you could take a foundational approach, that actually breaks the relationship, between expanded surface area means expanded exposure to PaaS. And so essentially the same approach that we took, with zero trust, which is, look, we just know we're going to get broken into. So just don't assume that your network is not safe, but still have a secure posture. Right? How did that come to be? I think if we can just apply that, more generally into this construct of a distributed enterprise, which says, look, the surface area is going to keep going, but let's break that correlation between surface area. Let's buy a more foundational construct, that says, look, it doesn't matter, if today, as you said this your device, tomorrow, it could be, you know, your son's laptop, that you use to actually log into your network and so forth. But ultimately though, it doesn't matter who you are, where you're accessing it from, what device you're using, or what network you're using, or which location, the safety posture is still very strong. >> That's awesome. >> Yeah. I will just add you're absolutely right. I mean, if you look at a customer, I'm thinking about today and I just heard this from their CIO, a couple of days ago, but they have one and a half million things, they're protecting today. They expect to have over 150 million in five years. And so you look at containerization, cloud mobility, all the work from home stuff. It's just going to make this a more and more complex, highly variant problem. We need to expect that. And I think a lot of people are very frustrated, that at the time, that expansion is happening, the network essentially did become a control point. You couldn't trust anymore. So the thesis that Google had around zero trust, actually became our entire world for most enterprises. When you look at that, we do owe our customers quantum jumps in capability, or they're just not going to catch up. And I think that the theoretical approach that we're taking here between Google and Tanium, lets our customers take one of those quantum jumps, where they're going to be seeing a lot more, they're going to be able to trust it a lot more. They're going to be able to allow devices, to have access to things, based on their current state and based on believing that we can extrapolate, whether their security on that device accurately. And that's something that I think a lot of customers have just never been able to do before. And frankly, I think it takes companies like this, to pair up and really invest in joining their technologies to be able to get that fabric that will get our customers materially forward. And you know, I'll just say one other thing, many of our customers have to literally like, you know, three or four months ago, we're in a position, where they were spending 60 or 70% of their security budgets on network. There's nowhere to spend that money today. That's actually productive. It gives them the ability to refactor what they're doing and the obligation to do it, because if they don't do it, I think is, you know, I was describing with the amount of increased assets, the amount of complexity, the lack of network control. If they don't do it, looking at the amount, of threat our customers are facing today, they're going to be under water really quickly. And so, you know, I'm proud that we get to get together here and give them a big step forward. And you know, I think there's an obligation on our industry, not to try and rewarm the same stuff, we've been doing for the last 20 years, and try and serve it to our customers again, but to really rethink the approach because it is a different world. >> Sunil you've been involved in a very, a lot of entrepreneurial ventures. You've been on these waves, that were misunderstood and then became understood. This is what we're getting at here. And what he's saying, essentially new expectations. We're going to drive that experience and then ultimately drive the demand, and people will either be out of business or in business. If you're a supplier, I'll give you the final word, you guys are in good positions. >> Especially in security John, more so than maybe any other infrastructure space, that I've been involved in. Most products have been built to solve problems with other products. And Orion just pointed out, I think this opportunity gives enterprises, clarity and vendors, clarity that look, you really have to take, you know, foundationally original approach, to solve problems, that can get customers to, if I can call it a function change, in their current safety posture. Right? And so that's really the core essence of the partnership is to sort of, rather than worrying about solving problems, with other products and so forth, is to use this opportunity, like I said, you have an opinionated view, to fundamentally change, the security posture of the endpoint once and for all. >> Well gentlemen, congratulations, on a great partnership, expanded partnership. Again, the world has changed. I love this fresh look. I think that's totally right on the money. New reality we're here. Thanks for you taking the time, to remote in from Seattle and the Bay area. Great to see you again at Google cloud. Thanks for coming in or a nice to meet you, and good luck with everything. >> Thank you. >> Thank you. >> Okay, this is theCUBE coverage, CUBE virtual coverage of Google OnAir next 2020. It's all virtual, virtualization has come in, and don't trust the network. You know, you got to watch those end points. Here with Google and Tanium great partnership news. I'm John for your host of theCUBE. Thanks for watching. (upbeat music)

>>from around the globe. It's the Cube covering Google Cloud. Next on Air 20. Hi, I'm Stew Minimum And and this is the Cube's coverage of Google Cloud next 20 on air, Of course. Last year we were all in person in San Francisco. This year it's an online experience. It's actually spanning many weeks and this week when we're releasing the Cube interviews, talking about application modernization, happy to welcome back program two of our Cube alumni. Chris Well, I've got Aparna Sinha, Uh, who is the director of product management, and joining her is Pali Bhat, who's the vice president of product and design, both with Google Cloud Poly. Welcome back. Thanks so much for joining us. >>Thank you. Good to be here. >>Well, so it goes without saying it. That 2020 has had quite a lot of changes. Really affect it. Start with you. You know, obviously there's been a lot of discussion is what is the impact of the global pandemic? The ripple in the economy on cloud. So I would love to hear a little bit. You know what you're hearing from your customers. What? That impact has been on on you and your business. >>Yes to thank thank you for asking as I look at our customers, what's been most inspiring for me to see is how organizations and the people in those organizations are coming together to help each other during this unprecedented event. And one of the things I wanted to highlight is, as we all adjust to this sort of new normal, there are two things that I keep seeing across every one of our customers. Better operation efficiency, with the focus on cost saving is something that's a business imperative and has drawn urgency. And the second bit is an increased focus on agility and business innovation. In the current atmosphere, where digital has truly become gone from being one of the channels being D channel, we're seeing our customers respond by being more innovative and reaching their customers in the way that they want to be rich. And that's been, for me personally, very inspiring to see. And we turned on Google Cloud to be a part of helping our customers in this journey in terms of our business itself. We're seeing tremendous momentum around our organization business because it plays directly into these two business imperatives around operational efficiency, cost saving and, of course, business innovation and agility. In Q two of 2020 we saw more than 100,000 companies use our application modernization platform across G ke and those cloud functions Cloud Run and our developers tools. So we've been, uh, just tagged with the response of how customers are using our tools in order to help them run their businesses, operate more efficiently and be more innovative on behalf of their customers. So we're seeing customers use everything from building mission critical applications who then securing, migrating and then operating our services. And we've also seen that customers get tremendous benefits. We've seen up to a 35% increase simply by using our own migration tools. And we've also seen it up to 75% improvement to all of the automation and re platform ing that they can do with our monetization platform. That's been incredible. What I do want to do. Those have a partner chime in on some of the complexity that these customers are seeing and how we're going about trying to address that >>Yes, eso to help our customers with the application modernization journey. Google Cloud really offers three highly differentiated capabilities. Us to the first one is really providing a consistent development and operations experience, and this is really important because you want the same experience, regardless of whether you're running natively in Google Cloud or you're running across clouds or you're running hybrid or you're running at the edge. And I think this is a truly unique differentiator off what we offer. Secondly, we really give customers and their developers industry leading guidance. And this is particularly important because there's a set of best practices on how you do development, how you run these applications, how you operate them in production for high reliability, a exceptional security staff, the stature and for the maximum developer efficiency on. And we provide the platform and the tooling to do that so that it can be customized to it's specific customers needs and their specific place on that modernization journey. And then the third thing on and I think this is incredibly important as well is that we would ride a data driven approach, a data driven optimization and benchmarking approach so that we can tell you where you are with regard to best practice and then help you move towards best practice, no matter where you're starting. >>Yeah, well, thank you, Aparna and Polly definitely resonates with what we're hearing. You know, customers need to be data driven. And then there's the imperative Now that digital movement Pali last year at the show, of course, Antos was, you know, really the talk of the conference years gone by. We know things move really fast, so if you could, you know, probably don't have time to get all of the news, but share with us the updates what differentiated this year along from a new standpoint, >>Yeah, So we've got tremendous set off improvements to the platform. And one of the things that I wanted to just share was that our customers as they actually migrate on to onto the cloud and begin the modernization journeys in their digital transformation programs. What we're seeing over and over is those customers that start with the platform as opposed to an individual application, are set up for success in the future. The platform, of course, is an tos where your application modernization journey begins. In terms of updates, we're gonna share a series off updates in block post, etcetera. I just want to highlight a few. We're sharing their availability off Antos for their middle swathe things that our customers have been asking about. And now our customers get to run on those on Prem and at the edge without the need for a hyper visor. What this does is helps organizations minimize unnecessary overhead and ultimately unlock all of the new cloud and edge use case. The second bit is we're not in the GF our speech to text on prem capability, but this is our first hybrid AI capability. So customers like Iron Mountain get to use hybrid AI, so they have full control of the infrastructure and have control off their data so they can implement data residency and compliance while still leveraging all of Google Cloud AI capabilities. Third services identity again. This extends existing identity solutions so that you can seamlessly work on and those workloads again. This is going to be generally available for on premise customers and better for Antos on AWS, and you're going to see more and more customers be able to leverage their existing identity investments while still getting the consistency that Anton's provides across environments. In the last one that I like to highlight is on those attached clusters, which lets customers bring any kubernetes conforming cluster on Toronto's and still take advantage of the advanced capabilities that until provides like declarative configurations and service automation. So one of the customers I just want to call out is Cold just built it. Entire hybrid cloud strategy on Anton's Day began with the platform first, and now we're seeing a record number of customers on Cold Start camaraderie. Take advantage of Mantel's tempting. With Macquarie Bank played, there's a number of use cases. I am particularly excited about major league baseball. I'm a big fan of baseball, and Major League Baseball is now using and those for 2020 season and all of the stadium across, trusting a large amount of data and gives them the capability to get those capabilities in stadiums very, really acceptable. All of those >>Okay, quick, quick. Follow up on that and those attached clusters because it was one of the questions I had last year. Google Cloud has partnerships with VM Ware for what they're doing. You know, Red Hat and Pivotal also is part of the VM Ware families, and they have their own kubernetes offering. So should I be thinking of this as a management capability that's similar to like what? What Andrew does Or maybe as your arca, Or is it just a kind of interoperability piece? How do we understand how these multiple kubernetes fit together? >>Yeah. So what we've done with Antos has really taken the approach that we need to help our customers are made and manage the infrastructure to specifically what Antos attach clusters gives our customers is they can have any kubernetes cluster as long as it's kubernetes conformance, they can benefit from all of the things that we provide in terms of automation. One of the challenges, of course, is you know, those two is configuring these very, very large instances in walls. A lot of handcrafting today we can provide declarative configuration. So you automate all of that. So think of this as configures code I think of this is infrastructure scored management scored. We're providing that service automation layer on top of any kubernetes conforming cluster with an tools. >>Great. Alright, uh, it's at modernization weeks, so Ah, partner, maybe bring us in aside. You were talking about your customers and what their what they're doing to modernize what's new that they should be aware of this year. >>Yeah, so So, First of all, you know, our mission is really to accelerate innovation in every organization through making their developers more productive as well as automating their operations. And this is something that is resonating even more in these times. Specifically, I think the biggest news that we have is really around, how we're going to help companies get started with the application modernization so that they can maximize the impact of their modernization efforts. And to do this, we're introducing what we're calling. The Google Cloud Application Modernization program or a Google camp for short on Google Camp has three pieces. It has an assessment, which is really data driven and fact based. It's a baseline assessment that helps organizations understand where they are in terms of their maturity with application modernization. Secondly, we give them a blueprint. This is something that is, is it encapsulates a specific set of best practices, proven best practices from development to security to operations, and it's something that they can put into practice and implement immediately. These practices, they cover the entire application lifecycle from writing the code to the See I CD to running it and operating it for maximum reliability and security. And then the third aspect, of course, is the application platform. And this is a modern platform, but also extremely extensible. And, as you know, it spans across clouds on this enables organizations to build, run and secure and, of course, manage both legacy as well as new applications. And the good news, of course, here is you know, this is a time tested platform. It's something that we use internally as well. For our Cloud ML services are being query omni service capability as well as for apogee, hot hybrid and many more at over time. So with the Google campus really covered all aspects of the application lifecycle. And we think it's extremely important for enterprises to have this capability. >>Yeah, so a party when you talk about the extent ability, I would expect that Google Cloud Run is one of the options there to help give us a bridge to get to server list. If that's where customers looking to my right on >>that, that's rights to the camp program provides is holistic, and it brings together many of our capabilities. So Cloud Code Cloud See I CD Cloud Run, which is our server less offering and also includes G ki e and and those best practices. Because customers for their applications, they're usually using multiple platforms. Now, in the case of Cloud Run, in particular, I want to highlight that there's been a lot of interest in the serverless capability during this last few months. In particular, I think, disproportionate amount of interest and server lists on container Native. In fact, according to the CNC F 2020 State of Cloud Native Development Report, you might have seen that, you know, they noted that 2.7 million cloud native developers are using kubernetes and four million are using serverless architectures or cloud functions, and that about 60% of back and developers are now using containers. So this just points to the the usage that was happening already and is now really disproportionately accelerated. In our case, you know, we've we've worked with several customers at the New York State Department and Media Market. Saturn are two that are really excellent stories with the New York State Department. They had a unemployment claims crisis. There was a lot. Ah, volume. That was difficult for their application to handle. And so we worked with them to re architect their application as a set of micro services on Google Cloud on our public sector team of teamed up with them to roll out a new unemployment website in record time. That website was able to handle the 1600% increase in Web traffic compared to a typical week. And this is very much do, too, the dev ops tooling that we provided and we worked with them on and then with Media market Saturn. This is really an excellent example in EMEA based example of a retailer that was able to achieve an eight X increase in speed as well as a 40% cost reduction. And these are really important metrics in these times in particular because for a retailer in the Cove in 19 crisis, to be able to bring new applications and new features to the hands of their customers is ultimately something that impacts their business is extremely valuable. >>Yeah, you think you bring up a really great point of partner when I traditionally think of application modernization. Maybe I've been in the space to long. But it is. Simplicity is not. The first thing that comes to mind is probably pointed out right now. There's an imperative people need to move fast, so I want to throw it out to both of you. How is Google's trying to make sure that, you know, in these uncertain times that customers can move fast and that with all these technology options that it could be just a little bit simpler? >>Yeah, I think I just, uh you know, start off by saying the first thing we've done is build all of our services from the ground up with automation, simplicity and agility in mind. So we've designed for development teams and operations teams be able to take these solutions and get productive with them right away. In addition, we understand that some of our largest customers actually need dedicated program where they can actually assess where they are and then map out a plan for incremental improvement so they can get on their journey to application modernization. But do it with the highest our way. And that was Google camp that apartment talked about ultimately at Google Cloud. Our mission, of course, is to accelerate innovation. Every organization toe hold developer velocity improvements, but also giving them the operation automation that we talked about with that application modernization platform. So we're very excited to be able to do this with every organization. >>Great. Well, Aparna, I'll let you have the final word Is the application modernization week here at Google Cloud. Next online, you can have the final take away for customers. >>Well, thank you, cio. You know, we are extremely passionate about developers on. We want to make sure that it is easy for anyone, anywhere to be able to get started with development as well as to have a path to, uh, accelerated path to production for their applications. So some of what we've done in terms of simplicity, which, as you said is extremely important in this environment, is to really make it easy to get started on. Some of the announcements are around build packs and the integration of cloud code are plug ins to the development environment directly into our serverless environment. And that's the type of thing that gets me excited. And I think I'm very passionate about that because it's something that applies to everyone. Uh, you know, regardless of where they are or what type of person they are, they can get started with development. And that can be a path to economic renewal and growth not just for companies, but for individuals. And that's a mission that we're extremely passionate about. Google Cloud >>Apartment Poly Thank you so much for sharing all the updates. Congratulations to the team. And definitely great to hear about how you're helping customers in these challenging times. >>Thank you for having us on. >>Thank you. So great to see you again. >>Alright. Stay tuned for more coverage from stew minimum and, as always, Thank you for watching the Cube. Yeah, yeah.

>> Narrator: From theCUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Over welcome to theCUBE's virtual coverage of Google Next on air. I'm John Furrier host of theCUBE. We're here in Palo Alto, California for our remote interviews, part of our quarantine crew, getting all the stories that matter, Google Next OnAir, continues event through the summer. We're calling it the summer of Cloud. We got two great guests here, Sunil Potti, General Manager and Vice President of Cloud security at Google Cloud. And Orion Hindawi, Co founder and CEO of Tanium. Gentlemen, thank you for coming on today. Appreciate it. Great event you guys have on the container. I call the summer of Cloud. It's a lot of events that Google's having. So you guys and your team are doing a great job. But there's some hard news, you guys are announcing an expanded partnership together. Sunil, tell us what is the news today? >> Hey, John, first of all, great to see you again. Love being on theCUBE anytime and it's my honor to actually share the state system around with Orion and the Tatium team. So essentially, what we are announcing today is the fact that, as most of you know, especially in the new normal, with a distributed workforce, and potentially it being the safer normal down the road, it presents an unprecedented opportunity. I think, in our opinion that we can use this to accelerate potentially safer posture that otherwise would have taken years to build into the enterprise ecosystem that we could now bring forward in a potentially in the year 2020 or 2021. So the primary announcement is based on the fact that Tanium's core enterprise offering and Google Clouds conical offering are coming together to build a full stack offering for endpoint detection and response so that customers can have an end to end offering that's both powerful, and easy to use. All the way from the detection, response, remediation, and analytics all built together into one seamless, easy to consume offering for the global enterprise. And being delivered in such a way that it can take into account organizations of thousands of employees or hundreds of thousands of employees, all by the same Cloud native solution. >> All right, how about why you're excited about this deal? What's different about it? Obviously, there's a relationship here. What's so exciting about this story? >> Yeah, I think, Orion should comment as well. But look, I think the key thing that we partnered on initially was a customer driven technology centric integrations, where we went deep from a chronical perspective to ensure native integration between any MS products to send signals out of the box, as well as curated, enhanced, enriched so that they could be actionable responses taken by Tanium's solutions as well on behalf of security analysts, as part of our journey to reinvent soccer the future, right. And so essentially, it's been a deliberate effort by both teams to not provide incremental integrations, but something that offers a re-imagined safety posture, especially that's enhanced, I would say or amplified in a world where pretty much every employee is essentially a threat vector now, but otherwise was not the case when they were working in a normal enterprise off. >> All right, what's your take on this? I see what's different. I see new big news. >> Sure, yeah. I mean, if you look at why we decided that Google would have been the perfect partner for us. We have very large enterprises. We work with about 70 of the Fortune 100, the US DOD, a lot of these very large environments, and many of them were coming to us and telling us two things. The first one was the amount of data that they were generating that they needed to be able to process and analyze and be able to find insight from was growing exponentially. And the second one was in the new kind of post COVID world, the amount of work from home risk that they were seeing and the perfection they needed to achieve on finding threats quickly and neutralizing them was actually also going up. And so between those two things, we started really looking for a partner that we could accelerate with to provide our customers with true world class, data analytics, retention, being able to visualize that data and then being able to act on that data through Tanium. And I think that the partnership that we've struck with Google and the work we've done with them to make this seamless for our customers, to make it scale really well, even for the largest managed networks, is something we're really proud of. >> What's the history between Chronicle and Tanium? How far back does it go? And how would you guys categorize this time and point in time in terms of evolution of that partnership? >> So maybe I'll take a stab Sunil. And then you can take one as well. We've been working with Chronicle now for over a year. And we've got customers who pointed us in this direction, which is how we love to start partnerships. We had some customers who had a lot of faith that Google was going to be able to crack this nut. And honestly, many of our customers had been really struggling with this with their current vendors at the time for years. And we're really looking for Google, because Google was the company that they saw as having the most credibility with massive, massive datasets. What we got surprised by actually was that there were a bunch of different legs of the stool that we could work with Google on. So not only data retention of Chronicle, but things like zero trust, which I think many people know Google actually invented the concept of. When we start thinking about Thin Client Management. So we actually found that there's a really expensive partnership here. And what we're doing with Chronicle, I think, is the first instantiation of that. But we expect that over the next even years, we've got a lot of room to run with Google to really secure and help our customers. >> Sunil talk about the way that you're riding on right now because obviously, the reality is and I won't use the term new normal, but the new reality is COVID has forced everyone to look at basically an unexpected disruption that no one saw coming. Yeah, we could we can prepare for disasters and floods and hurricanes and whatnot. But this is unforeseen. Everybody working at home. I mean, I can imagine all the VPN vendors freaking out who even needs a VPN? So the access methods is everything. It's mobile, home, home is new office. It's not just connect to an access point. My son's gaming, my daughter's watching Netflix, I'm trying to do some video conferencing. It's a mix of consumer business all happening. This is a complex environment now. What does this mean, this relation? How does this connect the dots? Can you expand on that? >> Yeah, I mean, I think I hinted on this a little bit at the beginning, is that we think this is an unprecedented opportunity to help accelerate digital transformation that otherwise would have taken a few years for many enterprises to get to, that can now be done, potentially, in months. And for some customers, maybe even in weeks. And some examples of that, that we've seen are that look, if you just take Google as a company, to Orion's point, look we invested many years worth of technology and IP that now we're slowly bringing out in the form of beyond Corp, product sets, but essentially of the fact that look, we should treat every employee as if they were a remote worker. We don't trust the network, we basically break transitive properties, which was one of the foundational issues with security in the enterprise, where I trust network and the network is trusted by a desktop. And then if you penetrate one, you can penetrate everything else in the chain. And so when COVID hit, we went from, essentially pretty much 100,000 plus employees working in distributor headquarters, but within the Google environment to working from home within a week later, but retained the same sort of, not productivity levels just, but actually the same safety levels that were much stronger. And so in many cases, what we are now seeing is that even though enterprises have come forward and said, "Look, yeah, we have some patchwork solutions "just because this is a major change for us. "Now that we are in it "for not just three months or six months, "but potentially a longer period of time, "why not take the opportunity "to replatform our security environments "so that we can actually be in a better state, "when we actually exit out of this environment. "Where we might actually never go back full time, "but it can actually be a hybrid run." So that's part of the reason why I think we're so jazzed about the partnership is that these are two examples of products coming together to help replatform at least one sets of traditional, if I can call it weak links in the security ecosystem that can now be sort of repacked. >> I was doing an interview actually, last week, and I was kind of riffing on this idea. This is one big IoT experiment. I mean, people are devices here, everyone's connected, but it's all remote, it's change the patterns of work and traffic and all kind of paradigms. But this brings up the issue of the customer challenge. Everyone's going to look at their environment saying, "Look, we now know the benefit of Cloud, it's clear, "but I got to rethink the projects that are on the table "and get rid of the ones that aren't going to be relevant "to where the world has shifted." It's not even a question of Digital Trends. It's like, okay, what am I doubling down on and what am I going to eliminate from the picture. So I got to ask you guys, if you guys can comment if I'm a customer, that's what's going through my head I got to survive, reinvent the foundation and come out with a growth strategy with a workforce, workplace, workloads, and workflows that are completely different. What's in it for me? What does this mean to me this partnership? So how do you help me what's in it for me? >> So I might take a stab at that. I think that a lot of our customers, if we look at where they were at the beginning of the year, they'd been building on a pretty creaky foundation and just adding more and more layers to it. So in the security side, many of our customers have 20, or 30, or 50, different tools, and many of them are there, because they were there yesterday. They're not actually, if you were going to zero based budget the way you were going to do security, they wouldn't be the tools you'd choose. And the interesting thing about this whole work from home transition, is it is effectively a zero based budget for security because a lot of the tools just basically don't work. So you think about a lot of the network tools and when everybody's working from home, you don't own the network. You think about a lot of even the end point tools that assumed that devices would be behind that network perimeter and now just don't work over the internet. And so when we look at our customers, they're realizing they have to re-platform their security model, anyway. And what they're doing is they're now picking again. And what they get to do is they get to pick the platforms that they now trust in 2020, with the work from home environment as it is. And I think what it gives you as a customer is a huge simplification of your environment. I mean, we talk to people every day, who were used to operating those 20 or 30, 50 tools, and they were spending 90% of their energy, just operating those tools, not actually improving security, and they were falling behind. >> That's a great-- >> If look at what they're able to do now. They actually can go back to a starting point where they think about what is the real threat I'm facing? What are the real platforms I should be choosing today? And we're actually seeing huge increases in our customer adoption of our platform. Because that resistance to change has been removed. People can't resist change anymore. Change has come. And as a result of that, they get to choose what they would like now. >> That's a huge point, I want to just double down on that redirect. And then we'll go to Sunil and his commentary. But I think you just hit the nail on the head. We are seeing the same commentary. You said it really eloquently, but the thing is, is that okay, if you believe what you just said, which I do, going into zero based budgeting decisions, fresh look at everything. The problem is people are looking at the decisions and comparing what the bells and whistles were from the tools. So how do you advise customers to rethink like, "Okay, if it's a fresh look, it's a fresh look." It's not like, okay, with the way we did it before. So a lot of times when you're evaluating products, a group gets together and say, "It doesn't have this bell or this whistle, "because that's the way we did it before." So you get to separate out this idea if you're going to go with that. It's a full fresh look. So how are customers doing that? Cause that's really difficult. >> It's a super relevant question for today's world, because I think you're absolutely right. If you talk to the person who operated the compliance tool in a big bank, and you ask them, "What do you need from that tool?" They very quickly get the things that if you just take the question, which is I need to do compliance for the bank, what do I need to do compliance effectively? And you look at the answer that they give you, which is I need this checkbox here, I need this button here, I need this minutia that I'm used to, to be consistent with what I've been used to for the last 10 years, those two things are not the same. And what we've really been encouraging our customers to do is take a look back at your requirements. So you are processing credit cards, you need to be PCI regulated. You need to be able to answer to your vendors, how many copies of their software you're using. You need to be able to find an attacker who's moving around your environment and do that as quickly as possible. And then let's build from there, what capabilities you need. And let's forget about whether the color scheme of the logo at the top of the report is the same. Let's talk about the core capabilities. And it's a very freeing conversation, actually, because what a lot of people start realizing is they've been maintaining the status quo, for reasons that actually have nothing to do with efficacy. They have to do with comfort, and the curse, and the beauty of the last six months is, no one's comfortable. So I don't care how comfortable you are with your tools, no one I know is comfortable today. And what it's giving us is an opportunity to look past the old school comfort and think about how do we transition to the future. And I think it's actually going to galvanize a lot of positive change. I was saying this before we went on air, but I don't think anybody wished that COVID was the way, that we would end up in a position where people have the appetite for change, but if there's a silver lining in the situation, that's it. And I really think that CIOs and CEOs and CFOs and CSOs, really across the board need to take advantage of the fact that there's a discontinuity here that allows us to throw out the old and bring in things that are much more effective. >> Sunil, that's a great tip for you. Because what he's basically saying is, if you don't focus on the check boxes, because there was reasons why, there's a long list probably RFPs are the same way, but we check in the boxes, okay, throw that out. By the way, you can innovate on those check boxes differently, but still achieve the same outcome, I get that. But for Google Cloud, you guys have a great network. It's well known in the industry, Google's got a phenomenal network, hence powering Android, and all the servers. We know that. With a Cloud player, this is a great opportunity for you guys to be a fresh candidate for this change. How are you guys talking about this internally, because this really is the goalposts have been moved in favor of who can deliver. >> Yeah, I think as both of you have been talking about it, look, I think the way I will maybe color this is, when consumers got to a safer posture with the advent of iPhone, right? Even though it was much more productive, delightful, and there's a bunch of other things. Ultimately, though, if anything, things became safer when you actually did computing on a phone, just because it was an opinionated stack. Ultimately, we believe whether you come to Cloud completely, or you consume some stacks, the more opinionated they are, that's ultimately the only way to reduce these moving parts that expose us to security issues. And that principles apply, by the way in reliability too, right? I mean, you have to simplify stuff for things to actually work at six nines and so forth. So same things apply in security. So imagine a world where every employee now is sitting at home. Maybe two years from now they come back they work in the Starbucks, but we had a virtual Chromebook experience. Because a physical Chromebook, of course, it's our goal to get that out there. Because on one hand, we have the Cloud, which is a full stack opinionated offering, but there's various elements of computing still dispersed in the environment. And you're talking about IoT, eventually, we'll get there, but just look at the employee's laptop or productivity station and imagine the construct of a virtual Chromebook off. And that's an opinionated stack. And that's essentially a variant of what the joint offering between the two companies is essentially aspiring to, is to provide that level of clarity and opinionation that actually genuinely solves for some foundational security issues. And in doing so, you now have a, essentially a opinionated stack close to the user. The enterprise user is a opinion stack via mobile phones close to the consumer user. And for all enterprises from a computing side, there's an opinion stack, whether it be Google or some of the other public Clouds, right. And ultimately, I think the world will move into these few sets of these opinion stacks at various points of control. And at least this particular partnership is around making the first step towards potentially one of those opinionated stacks. Allow virtual Chromebooks like experience for the enterprise users. >> And I think this is the beginning of the wave of the reality that the edge of the network, whatever you want to call it, and you see this with endpoint detection, right? I mean, everything's an endpoint now. I mean, I still think this is one big IoT device and everything's just moving around. So zero trust is a big part of it, Google Cloud, and this relationship brings that to the next level. How does zero trust and Tanium mission intersect here? Because I see some obvious ones we just talked about, but what's the connection? >> Yeah, I think and we'll hopefully talk more about it later in the year as well as we can and come up with more integrations. But at the high level, I think the way to think about this would be, imagine that device as you were talking about having an ability to actually send a strong set of signals, not just for detection and response, but for actually enforcing authentication and authorization as well. Because ultimately, identity needs to intersect with the current stack that we currently have between the two companies. And so when identity of the user, identity of the device, identity of... The context in which someone actually allows a user to access an application, these are all net new things that need to be brought into the solution to then provide both not just a safe way to provide an endpoint detection and response opinionated stack, but to also essentially make that part of an Uber zero trust offering, that a customer can consume, to ensure that, ultimately look, it doesn't really matter whether the employee is at home, they're using their own laptop, they're at Starbucks, they can come back to work, but ultimately they have this virtualized security ring that protects and always constantly authorizes, authenticates, and provides a bunch of this security operations capabilities beyond. >> So anyway-- >> The simple answer is, once we intersect identity and a slew of beyond Corp capabilities into the current offering, that's how the next step towards a more formidable zero trust offering falls. >> Okay, Orion, I'd love to get your thoughts, but if you both can answer this question, that'd be great. I'd love to get your thoughts little gamification here. If you had to put the headline out on this news, not the one on the press release that's like perfectly written. I mean bumper sticker. What is the real meaning of this relationship in this news? If you get to put a headline out there, Think New York Post style maybe or something that's can describe the news. >> I mean, I will admit, I'm not known for being good at sound bites. So I'll give you the one sentence and you can help me pair it down. But I mean, really what it is, is I think Tanium has got the highest fidelity and visibility and control out there. And I think Google's got the best data storage analytics, retention, cross referencing we've ever seen. And when you combine those two things, it's incredibly powerful for our enterprise users. And we've already seen customers where it's been transformative. >> Sunil headline-- (both talking) No, that's fine, protection solid. >> I think it's a much more descriptive nature, frankly, but I think my logical tagline that I just keep sort of the soundbite that I keep referring to is, look, you know, the world needs a virtual Chromebook to really feel safe at an endpoint level. And this is the first instantiation of that core stack that can at least get enterprise to start on that journey. >> I think you guys run something really big here. And one of my personal observations is, one is the complexity of the telemetry coming back and I can see how you would go in there and connecting the dots between Google's back end and your stuff coming together. You need to have that high powered energy from the resource. But also there's a human element, people are working at home, whether you're a teacher, they're getting you getting fished, they're spear fished, they're targeted social engineering. So as people come home, and there's now multiple access points, there's more surface area. So every single endpoint needs to be protected. And I think people in the normal world or outside of the tech industry saying, "Oh, I get it now. "We're not really protected." And this is not just sensor networks or OT technology, OT it's really humans. This is really where it's going, isn't it, guys? >> I chime in and then maybe Orion you should take it there. Cause look, I think we do have a foundational principle here, which says look, as demonstrated in a post code world. But your point, John, whether it be IoT, just to distributed computing in general continues to expand, we should just assume that the surface area for security issues on the expense, right. And rather than trying to do a rakamole of the surface area, what if you could take a foundational approach that actually breaks that relationship between expanded surface area means, expanded exposure to that. And so essentially, the same approach that we took with zero trust, which is, look, we just know we're going to get broken into. So just don't assume that your network is not safe, but still have a secure posture, right? How did that come to be? I think if you can just apply that, more generally into this construct of a distributed enterprise, which says, "Look, the surface area is going to keep going, "but let's break that correlation "between surface area to rates "buy a more foundational construct." That says, "Look, doesn't matter if today it's your, "as you said, this is your device. "Tomorrow, it could be your son's laptop "that you use to actually log into your network "and so forth." But ultimately, though, doesn't matter who you are, where you're accessing it from, what device you're using, or what network you're using, which location, the safety posture is still very strong. >> That's awesome. >> Yeah, I will just add, you're absolutely right. I mean, if you look at a customer I'm thinking about today, and I just heard this from their CIO a couple days ago, but they have one and a half million things they're protecting today, they expect to have over 150 million in five years. And so you look at containerization, cloud mobility, all the work from home stuff, it's just going to make this a more and more complex, highly variant problem, we need to expect that. And I think a lot of people are very frustrated that at the time that expansion is happening, the network essentially did become a control point you couldn't trust anymore. So the thesis that Google had around zero trust, actually became our entire world for most enterprises. When you look at that we do owe customers Quantum Jumps in capability, or they're just not going to catch up. And I think that the theoretical approach that we're taking here, between Google and Tanium lets our customers take one of those Quantum Jumps, where they're going to be seeing a lot more, they're going to be able to trust it a lot more. They're going to be able to allow devices to have access to things based on their current state and based on believing that we can extrapolate whether there's security on that device accurately. And that's something that I think a lot of customers have just never been able to do before. And frankly, I think it takes companies like this to pair up and really invest in joining their technologies to be able to get that fabric that will get our customers materially forward. And I'll just say one other thing. Many of our customers up to literally, three or four months ago, we're in a position where they were spending 60 or 70% of their security budgets on network. There's nowhere to spend that money today that's actually productive. It gives them the ability to refactor what they're doing, and the obligation to do it. Because if they don't do it, I think as, I was describing with the amount of increased assets, the amount of complexity, the lack of network control, if they don't do it, looking at the amount of threat our customers are facing today, they're going to be underwater really quickly. And so I'm proud that we get to get together here and give them a big step forward. And I really, I think there's an obligation on our industry, not to try and re-warm the same stuff we've been doing for the last 20 years and try and serve it to our customers again, but to really rethink the approach because it is a different world. >> Sunil you've been involved in a lot of entrepreneurial ventures, you've been on these waves that were misunderstood and then became understood. This is what we're getting out here and we saying essentially new expectations, we're going to drive that experience, and then ultimately drive the domain. And people will either be out of business or in business. If you're a supplier, I'll give you the final word. you guys are in good position. >> Yeah, I say that, especially in security gone, more so than maybe any other infrastructure space that I've been enrolled in. Most products have been built to solve problems with other products. And as Orion just rightfully pointed out, I think this opportunity gives enterprises clarity and vendors clarity, that look, you really have to take a foundationally, original approach to solve problems that can get customers to, if I can call it a staff function change in their current safety posture, right? And so that's really the core essence of the partnership is to, rather than worrying about solving problems with other products and so forth, is to use this opportunity, like I said, to have an opinionated view, to fundamentally change the security posture of the endpoint once and for all. >> Well, gentlemen, congratulations on a great partnership, expanded partnership. Again, the world is changing. I love this fresh look. I think that's totally right on the money. The new reality, we're here. Thanks for you taking the time to remote in from Seattle and the Bay Area. Sunil great to see you again at Google Cloud. Thanks for coming in. Orion, nice to meet you and good luck with everything. >> Thank you. >> Thank you. >> Okay, this is theCUBE's virtual coverage of Google OnAir next 2020. It's all virtual, virtualization is come in. And don't trust the network. You got to watch those endpoints. Here with Google and Tanium great partnership news. I'm John Furrier host of theCube. Thanks for watching. (upbeat music)

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.