>>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.

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

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

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

>> Announcer: Live from San Francisco, it's theCUBE. Covering Google Cloud Next '19. Brought to you by Google Cloud and it's ecosystem partners. >> Welcome back to the Moscone Center in San Francisco everybody. This is theCUBE, the leader in live tech coverage. This is day two of our coverage of Google Cloud Next #GoogleNext19. I'm here with my co-host Stuart Miniman and I'm Dave Vellante, John Furrier is also here. Dominic Preuss is here, he's the Director of Product Management, Storage and Databases at Google. Dominic, good to see you. Thanks for coming on. >> Great, thanks to be here. >> Gosh, 15, 20 years ago there were like three databases and now there's like, I feel like there's 300. It's exploding, all this innovation. You guys made some announcements yesterday, we're gonna get into, but let's start with, I mean, data, we were just talking at the open, is the critical part of any IT transformation, business value, it's at the heart of it. Your job is at the heart of it and it's important to Google. >> Yes. Yeah, you know, Google has a long history of building businesses based on data. We understand the importance of it, we understand how critical it is. And so, really, that ethos is carried over into Google Cloud platform. We think about it very much as a data platform and we have a very strong responsibility to our customers to make sure that we provide the most secure, the most reliable, the most available data platform for their data. And it's a key part of any decision when a customer chooses a hyper cloud vendor. >> So summarize your strategy. You guys had some announcements yesterday really embracing open source. There's certainly been a lot of discussion in the software industry about other cloud service providers who were sort of bogarting open source and not giving back, et cetera, et cetera, et cetera. How would you characterize Google's strategy with regard to open source, data storage, data management and how do you differentiate from other cloud service providers? >> Yeah, Google has always been the open cloud. We have a long history in our commitment to open source. Whether be Kubernetes, TensorFlow, Angular, Golang. Pick any one of these that we've been contributing heavily back to open source. Google's entire history is built on the success of open source. So we believe very strongly that it's an important part of the success. We also believe that we can take a different approach to open source. We're in a very pivotal point in the open source industry, as these companies are understanding and deciding how to monetize in a hyper cloud world. So we think we can take a fundamentally different approach and be very collaborative and support the open source community without taking advantage or not giving back. >> So, somebody might say, okay, but Google's got its own operational databases, you got analytic databases, relational, non-relational. I guess Google Spanner kind of fits in between those. It was an amazing product. I remember that that first came out, it was making my eyes bleed reading the white paper on it but awesome tech. You certainly own a lot of your own database technology and do a lot of innovation there. So, square that circle with regard to partnerships with open source vendors. >> Yeah, I think you alluded to a little bit earlier there are hundreds of database technologies out there today. And there's really been a proliferation of new technology, specifically databases, for very specific use cases. Whether it be graph or time series, all these other things. As a hyper cloud vendor, we're gonna try to do the most common things that people need. We're gonna do manage MySQL, and PostgreS and SQL Server. But for other databases that people wanna run we want to make sure that those solutions are first class opportunities on the platform. So we've engaged with seven of the top and leading open source companies to make sure that they can provide a managed service on Google Cloud Platform that is first class. What that means is that as a GCP customer I can choose a Google offered service or a third-party offered service and I'm gonna have the same, seamless, frictionless, integrated experience. So I'm gonna get unified billing, I'm gonna get one bill at the end of the day. I'm gonna have unified support, I'm gonna reach out to Google support and they're going to figure out what the problem is, without blaming the third-party or saying that isn't our problem. We take ownership of the issue and we'll go and figure out what's happening to make sure you get an answer. Then thirdly, a unified experience so that the GCP customer can manage that experience, inside a cloud console, just like they would their Google offered serves. >> A fully-managed database as a service essentially. >> Yes, so of the seven vendors, a number of them are databases. But also for Kafka, to manage Kafka or any other solutions that are out there as well. >> All right, so we could spend the whole time talking about databases. I wanna spend a couple minutes talking about the other piece of your business, which is storage. >> Dominic: Absolutely. >> Dave and I have a long history in what we'd call traditional storage. And the dialog over the last few years has been we're actually talking about data more than the storing of information. A few years back, I called cloud the silent killer of the old storage market. Because, you know, I'm not looking at buying a storage array or building something in the cloud. I use storage is one of the many services that I leverage. Can you just give us some of the latest updates as to what's new and interesting in your world. As well as when customers come to Google where does storage fit in that overall discussion? >> I think that the amazing opportunity that we see for for large enterprises right now is today, a lot of that data that they have in their company are in silos. It's not properly documented, they don't necessarily know where it is or who owns it or the data lineage. When we pick all that date up across the enterprise and bring it in to Google Cloud Platform, what's so great about is regardless of what storage solution you choose to put your data in it's in a centralized place. It's all integrated, then you can really start to understand what data you have, how do I do connections across it? How do I try to drive value by correlating it? For us, we're trying to make sure that whatever data comes across, customers can choose whatever storage solution they want. Whichever is most appropriate for their workload. Then once the data's in the platform we help them take advantage of it. We are very proud of the fact that when you bring data into object storage, we have a single unified API. There's only one product to use. If you would have really cold data, or really fast data, you don't have to wait hours to get the data, it's all available within milliseconds. Now we're really excited that we announced today is a new storage class. So, in Google Cloud Storage, which is our object storage product, we're now gonna have a very cold, archival storage option, that's going to start at $0.12 per gigabyte, per month. We think that that's really going to change the game in terms of customers that are trying to retire their old tape backup systems or are really looking for the most cost efficient, long term storage option for their data. >> The other thing that we've heard a lot about this week is that hybrid and multi-cloud environment. Google laid out a lot of the partnerships. I think you had VMware up on stage. You had Cisco up on stage, I see Nutanix is here. How does that storage, the hybrid multi-cloud, fit together for your world. >> I think the way that we view hybrid is that every customer, at some point, is hybrid. Like, no one ever picks up all their data on day one and on day two, it's on the cloud. It's gonna be a journey of bringing that data across. So, it's always going to be hybrid for that period of time. So for us, it's making sure that all of our storage solutions, we support open standards. So if you're using an an S3 compliant storage solution on-premise, you can use Google Cloud Storage with our S3 compatible API. If you are doing block, we work with all the large vendors, whether be NetApp or EMC or any of the other vendors you're used to having on-premise, making sure we can support those. I'm personally very excited about the work that we've done with NetApp around NetApp cloud buying for Google Cloud Platform. If you're a NetApp shop and you've been leveraging that technology and you're really comfortable and really like it on-premise, we make it really easy to bring that data to the cloud and have the same exact experience. You get all the the wonderful features that NetApp offers you on-premise in a cloud native service where you're paying on a consumption based service. So, it really takes, kind of, the decision away for the customers. You like NetApp on-premise but you want cloud native features and pricing? Great, we'll give you NetApp in the cloud. It really makes it to be an easy transition. So, for us it's making sure that we're engaged and that we have a story with all the storage vendors that you used to using on-premise today. >> Let me ask you a question, about go back, to the very cold, ice cold storage. You said $0.12 per gigabyte per month, which is kinda in between your other two major competitors. What was your thinking on the pricing strategy there? >> Yeah, basically everything we do is based on customer demand. So after talking to a bunch of customers, understanding the workloads, understanding the cost structure that they need, we think that that's the right price to meet all of those needs and allow us to basically compete for all the deals. We think that that's a really great price-point for our customers. And it really unlocks all those workloads for the cloud. >> It's dirt cheap, it's easy to store and then it takes a while to get it back, right, that's the concept? >> No, it is not at all. We are very different than other storage vendors or other public cloud offerings. When you drop your data into our system, basically, the trade up that you're making is saying, I will give you a cheaper price in exchange for agreeing to leave the data in the platform, for a longer time. So, basically you're making a time-based commitment to us, at which point we're giving you a cheaper price. But, what's fundamentally different about Google Cloud Storage, is that regardless of which storage class you use, everything is available within milliseconds. You don't have to wait hours or any amount of time to be able to get that data. It's all available to you. So, this is really important, if you have long-term archival data and then, let's say, that you got a compliance request or regulatory requests and you need to analyze all the data and get to all your data, you're not waiting hours to get access to that data. We're actually giving you, within milliseconds, giving you access to that data, so that you can get the answers you need. >> And the quid pro quo is I commit to storing it there for some period of time, is that you said? >> Correct. So, we have four storage classes. We have our Standard, our Nearline, our Coldline and this new Archival. Each of them has a lower price point, in exchange for a longer, committed time the you'll leave the product. >> That's cool. I think that adds real business value there. So, obviously, it's not sitting on tape somewhere. >> We have a number of solutions for how we store the data. For us, it's indifferent, how we store the data. It's all about how long you're willing to tell us it'll be there and that allows us to plan for those resources long term. >> That's a great story. Now, you also have this pay-as-you-go pricing tiers, can you talk about that a little bit? >> For which, for Google Cloud Storage? >> Dave: Yes. >> Yeah, everything is pay-as-you-go and so basically you write data to us and there's a charge for the operations you do and then you charge for however long you leave the data in the system. So, if you're using our Standard class, you're just paying our standard price. You can either use Regional or Multi-Regional, depending on the disaster recovery and the durability and availability requirements that you have. Then you're just paying us for that for however long you leave the data in the system. Once you delete it, you stop paying. >> So it must be, I'm not sure what kind of customer discussions are going on in terms of storage optionality. It used to be just, okay, I got block and I got file, but now you've got all different kind of. You just mentioned several different tiers of performance. What's the customer conversation like, specifically in terms of optionality and what are they asking you to deliver? >> I think within the storage space, there's really three things, there's object, block and file. So, on the object side, or on the block side we have our persistence product. Customers are asking for better price performance, more performance, more IOPS, more throughput. We're continuing to deliver a higher-performance, block device for them and that's going very, very well. For those that need file, we have our first-party service, which is Cloud Filestore, which is our manage NFS. So if you need managed NFS, we can provide that for you at a really low price point. We also partner with, you mentioned Elastifile earlier. We partner with NetApp, we're partnering with EMC. So all those options are also available for file. Then on the object side, if you can accept the object API, it's not POSIX-compliant it's a very different model. If your workloads can support that model then we give you a bunch of options with the Object Model API. >> So, data management is another hot topic and it means a lot of things to a lot of people. You hear the backup guys talking about data management. The database guys talk about data management. What is data management to Google and what your philosophy and strategy there? >> I think for us, again, I spend a lot of time making sure that the solutions are unified and consistent across. So, for us, the idea is that if you bring data into the platform, you're gonna get a consistent experience. So you're gonna have consistent backup options you're gonna have consistent pricing models. Everything should be very similar across the various products So, number one, we're just making sure that it's not confusing by making everything very simple and very consistent. Then over time, we're providing additional features that help you manage that. I'm really excited about all the work we're doing on the security side. So, you heard Orr's talk about access transparency and access approvals right. So basically, we can have a unified way to know whether or not anyone, either Google or if a third-party offer, a third-party request has come in about if we're having to access the data for any reason. So we're giving you full transparency as to what's going on with your data. And that's across the data platform. That's not on a per-product basis. We can basically layer in all these amazing security features on top of your data. The way that we view our business is that we are stewards of your data. You've given us your data and asked us to take care of it, right, don't lose it. Give it back to me when I want it and let me know when anything's happening to it. We take that very seriously and we see all the things we're able to bring to bear on the security side, to really help us be good stewards of that data. >> The other thing you said is I get those access logs in near real time, which is, again, nuanced but it's very important. Dominic, great story, really. I think clear thinking and you, obviously, delivered some value for the customers there. So thanks very much for coming on theCUBE and sharing that with us. >> Absolutely, happy to be here. >> All right, keep it right there everybody, we'll be back with our next guest right after this. You're watching theCUBE live from Google Cloud Next from Moscone. Dave Vellante, Stu Miniman, John Furrier. We'll be right back. (upbeat music)

(upbeat music) >> Narrator: Live, from San Francisco, it's theCUBE. Covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Hey, welcome back everyone. Live coverage here with theCUBE in San Francisco, California, Moscone South. I'm John Furrier with Dave Vellante. Here at Google Next 2019 we have here in theCUBE for the first time as a Google employee, Cube alumni, Amit Zavery. Head of platform for Google Cloud. Great to see you. >> No, thanks for having me. It's always a pleasure to see you guys again. >> So you're just now on the job, not even two months. 25 years, 23? >> Amit: Close to 25, yes. >> Three years at Oracle. TK's over here as CEO, part of Google. They got a lot of action going on here. >> Oh definitely, it's very exciting times. I've spent some time kind of learning and hearing about what the vision at Google has been and it's very clear they're here to win it and we have the investment that they're making, the innovation which is going on is very attractive and very exciting, I think. >> Always love our conversations in the past in theCUBE around platform You got a deep technical background. Um you've been in the business. You've seen many waves of innovation up and down the stack. So it's not, I don't think there is a move you haven't seen in the business. But Cloud, there's some new things happening, it's going to, but it's all part of other things, kind of meshing together. Pun intended, service meshes. >> Yeah. >> But as customers move to the cloud from on prem, having cloud, multiple clouds, multiple dimensions of change. >> Yes. What's your take on this because, I think, you have a unique perspective in that 20 something years at Oracle, leader in databases and software? >> Yeah. >> Google's got great leadership in tech. >> Yep. >> But now they're standing up a whole new cloud business, at a whole 'nother level. Your thoughts? >> Yeah, yeah, 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 different things, you said, 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? It's becoming top of the mind for many of the users nowadays. The lock-in, which many vendors currently provide, becomes very difficult for many of this uh users who kind of keep moving around and meet the business requirements. So I think having a solution and a technology stack, which is really understanding the complexity around that and making it simple enough to adopt, I think is important. >> You know, one of these things, we watch these key notes very carefully. Especially when you have a new CEO, Thomas Kurian. We follow NetApp as well as his twin brother. But his first opening line was a little you know, tip of the cap to Diane Greene, which I thought was very classy. We hear all the other things. Scale, the multi-cloud piece. And then Jennifer Lynn gave a great demo, and she said something in her demo I want to get your reaction to. What are the business benefits of Anthos' negotiating contracts? Meaning choice. >> Yes. So lock-in's shifting. This means lock-in is not your grandfather's lock-in. You know, you worked at Oracle which has an amazing lock-in spec in databases. This is a whole new world, it's capabilities, the new lock-in. Or what is the new, I mean I guess lock-in is a function of-- >> Amit: No I mean, (mumbles) Again, it's not ideas. Lock-in is definitely not the right way of kind of looking at it. The way to kind of really make sure you attract users and attract customers, is to really make a value add capabilities in there. Right and then if the customers really love it they're going to keep on using it. In respective you call it lock-in or provide some propriotariness or not. >> Value. >> Right. Value is complete, exactly. I think it's important to really think about how you build some of the services and technologies which give this value. But also give you the choice of moving if you want to. That I think, if you start from the beginning that there's no choice, then the value doesn't come out, ever. >> John: So value's the new lock-in. >> It has to be, it has to be. >> Alright, talk about apogee. because you're one of the key piece of the platform is apogee. Talk about your focus, you're still learning, getting your feet wet. But again, you've got your running shoes on, you're experienced. What is that platform that you're handling. Give a quick description. >> Apogee, an acquisition, which Google made a few years ago. And I think it's a kind of center spaced offering which allows customers to really do the life cycle and digital transformation of the technology they have in the back end. Right and uh the apogee team has done a great job of keeping, being the market leader and keeping innovating. I think the next phase for us as we look forward is one is to make it very completely integrated and make it very seamless with all the rest of Google properties we have and the assets we have and second thing is to really add other capabilities around it so that customers depending on what they want to do like line of business or IT steams to be able to now unlock a lot of the application data they have and expose it to both the customer, spotners, as well as internal employees in a simple easy manner. So a lot of wantization can happen, monitoring, all these things can be really great for them. >> John: So there's a lot of head room in apogee. >> Very very much yes. >> By technology and business benefit. >> Dave: So head of platform. You know we in the industry we hear platform and we kind of understand what it's all about. People outside the industry maybe, some of an inmorphis concept to them. So my first question though before we get into this, what attracted you to Google? >> No I think that basically if I look at the strength Google brings as a organization, be it in terms of innovation, be it in terms of investment, the infrastructure and the willingness to invest in the long term. I think that is really really attractive. I think for me to kind of have the ability to kind of invest and grow a lot of the footprint we have to offer to a customer and solve the business problems in a little more longer term than short term oriented, I think is very very exciting. >> So let's talk more about platforms. You think of platforms as a set of capabilities steeped in sort of an architectural premise, there's maybe some dog mutt in there that you've got have have these capabilities then ultimately you're going to deliver value and turn into products and customer value. What is platform to you and what's that sort of how should we think about that fly wheel effect? >> Yeah in the way that I look at the platform is basically one is capabilities the customer require, one to build an application, integrate it, and be able to secure it and manage it right? So all the different capabilities you'd acquire instead of having to get piece meal of it and have to tie it all together yourself, you can now do it with a much easier fashion and one that provides you the capability as one integrated capability right? So that's really what I think of the platform. >> So your constituencies are obviously your internal developers, your external developers. Who are you serving with that platform? >> A few audiences. No doubt to others to be able to build an application. But I think the bigger audience if you go beyond that is really, apps IT and a line of business. So to them more and more line of business at doing extension to an application. The doing integration without having the right code. And if you can provide a powerful tool where any person who is not a professional developer can do that kind of tasks and get more power out of the application of the business systems they're running, the value is immense. And that's really I think the audience we need to be able to attract and be able to now cater to so that they have a lot more benefits from using the Google platform. >> Is that part technical capability, part you know, go to market? How do you view that? >> It's definitely a lot of work to be done from the product perspective to make it simple um make it more consumable by apps IT and line of business user where such professional developers but also in terms of how you design it and make it self service and attractive enough for an audience who is not really kind of having to do deal with a lot of this themselves. >> Okay so that's presumably what we should be expecting from you. Maybe talk about your priorities and give us a little you know, how should we be, sort of, judging you down the road, judging you not the right term but what milestones should we be looking for? >> A little too early, I mean this is four weeks at Google but I think uh, the way to look at this is are we basically catering to all the new requirements you see from a lot of the next generation users and I think uh, the ability for us to kind of expand that capability in a platform offering so it's not just catering to one kind of an audience but also new buyers which we seeing as users coming into the platform. So over the next six months or nine months we start seeing some of those things which you do. >> Is this a new role? Was it sort of by committee before or? >> No I think Google has been doing a lot of these things I think when you start to think about a rationalized skew of the areas and how do you keep on expanding. There's a lot of headroom for Google cloud to go and we continue to kind of look at where we need to be and how we can keep on expanding and meet those requirements. >> Amit talk about Thomas Kurian also known as TK onstage. He's been busy, he's going to come on the queue eventually. He's talking to a lot of customers we heard. Hundreds of customers been promoted. You worked in that oracle, what's he like? Share some color commentary on TK, he set the chops obviously in enterprise. What's he like? People, he's new CEO. >> Yeah, yeah I've worked with Thomas for 18 plus years and I think he's probably one of the smartest person I've worked with for sure. But I think it's very strategic vision and clear execution. I think combination is rare for a lot of people. We have a very clear vision but how do you execute and get operationally make those things possible? I think that really what Thomas brings to any any place he gets into. Right so he has a very clear idea where we should be going, he talks to a lot of customers, get you all the input and has a clear plan in terms of how we deli, what we should be doing. And then he gets very involved wit the execution operational work we should be doing right? So that is the unique thing to bring to the table. >> John: He can get down and dirty if you want him to do it. >> Yeah oh very much, yes yes. (laughs) He's fun to work with in that way. >> So I want to ask you a personal question I know we've been following your career, certainly you got a great, great technical background as well. As you look at the cloud, and having all that enterprise experience, you see many ways in innovation, hardware, software, evolution to the cloud. As you look at the modern enterprise, you mentioned IT apps, apps IT, it's a whole new app revolution renaissance happening. You got hybrid and multi cloud. What does it mean to be enterprise ready? If you could take all the learnings in your career, as you look at the new, you know, out in the new pasture, of the next ten years plus, you see changes happening, what's your vision? >> I think that enterprise ready for us, I mean I think that's what we are doing a lot, if you saw today from Thomas' announcements, there's a lot of things we are planning and we have been doing already and we need to do as well. But I think it's understanding the existing landscape of a customer. And enterprise, let's use them on and invest on many customers we've made and systems you can't rip and replace instantly. And to be able to understand how you operate in that kind of constrains as well as context is very important when you build new generational applications. So kind of having the connectivity and the tissue of kind of making it all work together, while you kind of modernize and digitally transform your offering, I think is a critical way of thinking. And I think that's what you'll start seeing a lot more of that from the product planning, product delivery perspective and understanding that yet many customers have to pay before they can move everywhere right? So you saw today with Thomas' announcement about hybrid which allows you to kind of inter operate with existing investments. Multicloud because you might be running into multiple environments. As well as you saw some the things we doing to really make it easy and simple to integrate with the existing portfolio that customers have. >> You know what's interesting is that you know, he also mentioned industries, which you guys at Oracle certainly you know every industry's got unique requirements. What's interesting and kind of validates on a queue we've, Dave and I have talked for years that the clouds horizontally scalable yet with data and AI you can be differentiated in the industry level so you can actually have best of both worlds now. That's what I see kind of coming together at the platform 'cause you have to have a platform that enables. How do you see that? Do you agree with that? Do you see that shaping out? How would you see that ability to take advantage of the horizontal scale, the ability, connective tissue, plus enabling this horizontal specialization for industry solutions? >> Yeah, no I think you saw again some of the announcements around that, with how do you make it not pertinent to a particular end user. Alright each industry has specific data models, specific use cases and you need to be able to provide and cater to that. So you have to have a horizontal platform which can cater to multiple, different things you want to do. But then you'd have to provide the main specific content and that's when you'll start seeing as you think that Oracle does some of the things that other companies do that and we will do some of that stuff as well. >> Well that's interesting point because you're in a point of a horizontal scaling because it creates this, uh, another disruption agenda. Yeah you can disrupts search and productivity software but you can also triverse industries with your partners. We were talking about apogee before with the API economy. You can see Google and its partners getting the healthcare, financial services, autonomist vehicles, I mean virtually every industry because it's data and that to me is the exciting part of platform. >> Oh no doubt. I think Google also brings a lot strength in terms of the modeling and the AI work they've been doing for many years and that can really exhilarate capabilities around these things in a much more easier way than it could be otherwise. >> And you kind of have a clean sheet of paper in the enterprise >> That's right. >> Amit great to see you, I'm glad we can get your first public appearance at Google here in theCUBE. Appreciate the commentary, I want to finally, final question is, personal question. If you were a cloud architect for a large enterprise that had complex to simple work loads and everything in between, what would you be doing in advising and setting up and architecting, what would you, what would you do? >> I think that the best thing to do I think is to identify different categories of applications. I don't think it's one thing fits all right? So define what are the categories of applications you have. Some of them are cloud ready and make sure that you can, status are ready and adoption and moving to more agile delivery model. Second on the application which you might want to now start thinking about rewriting and then having a road map associated with that so you're not trying to go and rip and replace because that has an impact on your business and capabilities right? And then third thing we might want to look at retiring some of the staff and then hey you have to modernize, I mean there's nothing, there's no way out of it. Just like software goes through cycles of innovation and changes every ten years you see a new stack of technologies come out and you have to remain competitive by adopting some of the states. So I think that's kind of in recognizing what you have and how you adopt is probably the number one thing. >> And you'll be probably driving containers throughout >> No doubt, I think the technologies out there now with the containerization, much much simpler to kind of go and run and write one's, run anywhere kind of thing. >> Those scenarios is kind of what the guy from Kohl's was saying today in the key note >> Yeah they're very similar yeah. >> He didn't say this, this one use case of just leave it there which was interesting to me. So, do nothing was not his strategy. It is, it is for some. >> Amit Zavery here on theCUBE. Great, great insight, thanks for sharing. Thanks for taking the time out of your busy schedule. Amit Zavery head of platform at Google Cloud here on theCUBE. I'm John Furrier. See us with more day one coverage. We're here for three days. Live, we'll be right back after this short break. (upbeat music)

>> Announcer: Live from San Francisco, it's theCUBE. Covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Hey, welcome back everyone, and we're here at theCUBE coverage in San Francisco for Google Next 2019, I'm John Furrier, Dave Vellante, our next guest is Menaka Shroff global marketing head for emerging business at Google. Welcome to theCUBE, thanks for joining us. >> Thank you. Thank you for having me. >> So define emerging business, what is it within the Google Cloud? Just take a minute to explain what the business is. >> Yeah. Emerging business team is a group of marketers basically focused on products that help build a better Google story, so products like Chrome Browser, Chromebooks, Drive and especially Cloud Identity. All of these form the team of portfolio products that my team manages. >> And so they go to market, is it product development, both, or just? >> It's predominately marketing and go to market, yeah. >> What are some of the things that you're talking about here at the event? What's some news that you have, you guys got some news? >> Yeah, so one of the patterns we're seeing is this trend of cloud workers, where these are employees that spend almost four hours a day using SaaS applications using the browser as you just mentioned, that you do as well. And we're seeing-- >> Eight hours a day, 15 hours a day, yeah! >> Yes, excellent. And so, we're seeing this pattern actually, not only with digital natives but also with frontline, you know, back of the office front of the office where they're sort of skipping the traditional PC era and moving straight to a clouds based model. And so today we're actually announcing our Chrome Browser Cloud Management. So it's one central place to manage your browser deployments across, you know, a segmented workforce that's using Windows or Mac or Linux, and Chromebooks. and what you can do is have them obviously manage the Chrome Browser extensions and all of the deployment, but also have this IT collaborating and delegation within the same console. So of course if you're using G Suite, it's all in the same console, it's very easily available. >> And so this kind of brings back to conscious, we've been hearing the themes here, besides this is customer focused, it is end to end developer. So, life cycle from coding to deploying and running. So you run it on a Chromebook, or a Chrome Browser, you can have software at the endpoint for security, and integration, right? >> Exactly. So, what's great about being here is you see that full stack approach in how we want to make it available for our customers starting all the way from infrastructure to end user computing apps that people are using, all with that security layer and mindset. Obviously Chromebooks are known to be cloud based devices, historically popular with students, as you had just mentioned, as well. But we're seeing really good trends happening even with personal computing and in enterprise, because of the security model that runs through how cloud is architected, especially at Google. >> What're some of the conversations you're having here at the show, with customers and partners? What's the main driver? >> Yeah, it's really phenomenal because Chromebooks are actually 100% partner driven so we're already very partner-centric from that point of view, but, some of the customer conversations we're hearing, I'll mention three customers that I just talked to. SoulCycle, they have 94 locations with 500 endpoints deployed, and they're using this as their retail experience. That customer UX mindset with their Chromebooks, again, they're very cloud native. We have Starbucks that is using the Chrome Browser management capabilities across all of their stores, again thinking about extension management, but centralizing it all in one panel for all their locations. And then, very interesting, we have one medical hospital. They're using Chromebooks for their paramedics. Obviously we want paramedics to have the best technology available while they're doing their important job, saving lives. But they're doing this in a way where we want to enable them to do the right outcome which is, good patient experience. These are all things we're seeing in the variety of SMBs to IT, to, small businesses in variety of verticals, across geographies. Japan, India, all of that, in one place at Next, which is exciting. >> So very specific vertical use cases that you just mentioned, it's also this sort of general business usage, it's the old thin client story, right? Now, mobile becomes somewhat of a challenge for folks, but, I mean, I've written blog posts on my mobile. Yeah, we live, like I said, on Google Docs, and Google Sheets but, >> Absolutely. >> so, what are some of the things you're hearing, first of all, is that a tailwind for you? Is that a trend that you guys are leaning in to? And what are some of the things that your clients are asking for there? >> Yeah, so, phenomenal example. I think what we're seeing is the seamless application usage across different locations but also across different form factors. So what I do on my mobile, I want to be able to do on my tablet, on my phone, in a way that I interact in the same way, with the right context in mind. And we want to make that available. We definitely see that at Google because we are, after all, the biggest cloud native company if you think about that, and we operate in that model. But we're seeing this trend, actually with legacy companies which is, a new thing that is a good discovery for us and we obviously want to offer the best technology for our customers, we are definitely seeing a little bit of that happen as well. >> And Drive is part of your swim lane as well? >> Yes. >> I suppose, so, I mean one of the things I see a lot of people do is they'll take every document on their desktop, or their laptop, and put it up into the cloud. So they always have access to it. >> Yeah, I think Drive is phenomenal because not only does it serve the traditional ECM or the content management solution space, I mean, Drive has over a billion users now, so it's very worldwide known. But also it has the editors and the, you know, Google Docs, Google Sheets, as part of the solution mix too, so. Really when you offer that up along with the Chromebook it becomes a very powerful solution in combination for any cloud native employee. >> Well you've created, you got a tiger by the tail, 'cause it's so easy to create a Doc now, it's easier than spitting up a VM. >> Menaka: Well, I mean students are growing up with this as well, right? So we're seeing that. >> So what do you, are you getting a lot of requests to simplify the management of all those Docs, and what is Google doing in that regard? >> Yeah, I think ease of management, ease of deployment, ease of end user computing is always on our mind and we're always striving to do a great job, trying to make sure it doesn't take very long for anyone in IT to set up, whether it's their Drive instance or whether it's their Chromebooks we want to make it incredibly easy. And we are seeing this happen today, actually we have grab and go devices here, where you could take a Chromebook, log in and all your personalization kicks in within two minutes of you logging in, and then you shift a user, or give it to him and it doesn't require any reconfiguration. It sort of cleans out on its own, and has all of the other personalization set up. So we're thinking constantly about how do we do this for IT? So a five person team, actually I had a customer that has a five person team managing 4000 endpoints with just a small IT staff. And they want to be able to do interesting creative things not just manage end user devices, so we really are thinking hard about how do we do this in a way that's easy. >> Take the heavy lifting off the customer. >> Yeah exactly. We absolutely want to do that, even for end user, it should feel seamless. >> Menaka, great to to hear all the traction, love the end to end Chrome Browser, final question for you, what's new for you guys? What's going on under your business? What's your marketing plan? What are some of the exciting things that you're doing? >> Yeah we're just following the success we're seeing with our customers as you had mentioned earlier, we're seeing that with frontline, we're seeing that with healthcare, retail, those are all opportunities that we see, leaning in and supporting our customers in their journey to the cloud. And we see ours as a starting spot for that. >> Awesome, well congratulations. >> We'll have to look at getting some Chromebooks for theCUBE with a CUBE sticker. >> Yes! >> Can you make some custom Chromebooks for us? >> Custom, I don't, custom stickers. >> How about a custom browser? >> Custom stickers, browser is your personal, you can customize your browser as much as you like. >> John: We got stickers for you here. >> Oh, thank you! >> John: Love Chrome Browser, love the extensions, >> We'll take them. >> Programmability end to end, congratulations. Thanks for coming on. >> Thank you very much. >> Appreciate it. CUBE coverage here at San Francisco live, it's theCUBE covering Google Next 2019, stay with us for more after this short break. (electronic music)

>> Announcer: Live from San Francisco, it's theCUBE. Covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Hey welcome back everyone. It's theCUBE's live coverage here in San Francisco in Moscone South. We're on the ground floor here at Google Next, Google's Cloud conference. I'm chatting with Stu Miniman; Dave Vellante's also hosting. He's out there getting stories. Our next two guests: Dana Berg, Chief Operating Officer of SADA and Chris Lehman, Head of Engineering for SADA. Guys, welcome to theCUBE. Thanks for joining us. We're here on the ground floor. >> Thank you. >> Thank you. >> This is exciting. I feel like a movie star right here. >> It's game day here. All the tech athletes are out, Dave. If you look at the show, look at the demographics, hardcore developers, lot of IT, leaders also here, cloud architects, a lot of people trying to figure it out. We heard the keynote. Google is bringing a lot to the table. So what's new with you guys? You guys recently sold your Microsoft business, going all-in on Google. Talk about that relationship. >> We are. This is a brand new day for SADA. The energy around this place, where we are in the market, and where we are with the expanded attendance here has actually reaffirmed our business strategy to go all-in with Google. I don't know if you are aware but SADA has been around for almost 20 years. Historically have always been leaders in bringing people to the cloud even before there was really much of a cloud. We were a you know a pilot partner within Microsoft and Google and had a great thriving Microsoft business but an even bigger Google business and you know, we looked at the tea leaves, we looked at where we wanted to be, and aligned with a company that shared our mission and values and it was a clear choice. We chose Google. We made a very specific and deliberate act to sell off our Microsoft business so that we could take the horsepower of all of our engineering staff and apply them to Google. >> It's interesting you know, we've been around for 10 years doing theCUBE, go to a lot of events, I mean Dave Vellante, Stu, and I have been around for 30 years covering the IT, you guys 20 years. You guys have seen many ways of innovation come and go. Now you're going all in on Google. What is it about this wave right now that made that decision? What do you guys see? You're seeing something early here. Expand on that. Give us some color commentary because there's a wave here, right? A lot of people try. It's a combination of things. I mean, we saw the client-server thing. We saw that movement. Also the internet, we saw the web, mobile, now it's cloud. What's the big wave? What are you guys riding? >> I think there's a couple of things and I think it's unique to, philosophically, how we think of our real special relationship with Google. There is a momentum, right, and not to quote like a Bernie Sanders, but, seems like there's a revolution going on here, right, and, you know, I think, you know, what we see when we look around and we hear conversations and even with our customers, the way that we're all winning together is because we're winning the hearts and minds of the people inside of our customer base that are actually the ones responsible for inventing and the ones responsible for building, so when we're in board rooms and we're selling and along with Google, we're talking with developers, we're talking with designers, we're talking about people that are actually driving the vision for these business applications. We're not always talking to the CIO down like some of our other competitors seems to have only been able to sell that way. We're talking about the people responsible for not only constructing it but maintaining it. So that revolution is there. These folks are bubbling that up and they're seeing the real value inside of Google and what is that value from our point of view, and why did we make such a bold statement just to stick with Google is, and we saw Thomas today echo this, I think there's very few cloud providers that are bold enough to actually lead with the fact that we want our customers to have full choice whether you're using GCP or not. We want to build, architect, and manufacture a product offering that allows you to keep your stuff in your data centers, move your stuff to AWS. That power of choice is really not like what we've never heard anywhere else. >> And then on top of that, too, you got an application renaissance, right? A whole new way of coding, infrastructure that's programmable and going away, I mean if you think about what that does to the existing infrastructures, they can now mix and match and rearchitect everything from scratch and accelerate the app movement. >> Well, that's absolutely true, and a lot of that has to do with the fact that there are managed services in the cloud which makes it dramatically easier to build applications of course, so there's no question about that. Some of the offerings on GCP are particularly attractive for our clients, particularly the managed Kubernetes service. That's where we're seeing perhaps most of the interest that we're seeing, like that's a very common theme. Also the ML stack is an area that our customers are very interested in. >> Chris, can you bring us in some of those customer environments, you know, one of the things you hear, you know, most customers, it's, "I've got my application portfolio." Modernizing that is pretty challenging. There are some things that are kind of easy, some things that take a lot more work, but, you know, migration is one of those things that makes most people that have been in IT a while cringe because there's always the devil in the details and something goes wrong once you've got 95 percent done. What are you seeing, what's working, what's not working, how's the role of data changing, and all of that? >> I think migrations are usually more complex than they at first appear and so even with best intentions thinking that customers can just move their workloads seamlessly to the cloud have actually in practice been more challenging. So some of the areas that we find challenges are around data migration, especially in the context of zero downtime. That's always more difficult than with applications. So that's definitely an area that were we're spending a lot of time working with our customers to deliver. >> Just to add to that, I have to keep reminding myself of the name, but obviously the Anthos announcement today sounds incredibly intriguing as a lower barrier of effort to actually migrate. Our customers have been trying to really absorb and take a hold of Kubernetes and can it containerize methods for a long time. Some are having a harder time doing it than others. I think Anthos promises to make that endeavor much, much easier, and I think about as we leave here this week and we go back and we reeducate our own engineering teams as well as our customers, I think we might see some highly accelerated project timelines go from here down to here. >> And the demo that Jennifer Lynn did was pretty impressive. I mean, running inside of containers, whether it's VMs, and then having service patches on the horizon coming to the table is going to change the implementation delivery piece too in a massive way. I mean, you've got-- >> Oh, absolutely. >> Code, build, run on the cloud side, but this this kind of changes the equation on your end. Can you guys share the insight into that equation, because Google's clearly posturing to be partner friendly. You guys are a big partner now. You're going all-in. This is an interesting dynamic because you can focus on solving customers' problems. All this heavy lifting kind of goes away. Talk about the impact to you as a partner when you look at Anthem, Anthem migrate in particular, some of these migration challenges with containers and Kubernetes seems like it's a perfect storm right now to kind of jump in and do more, faster. >> Yeah. >> Well, it's certainly very interesting. Well, we'll want to take a really hard look at it. I mean, a very, very cool announcement. Moving to containers in the source prior to the migration obviously solves a lot of challenges so for that reason, it's definitely a move forward. >> And I think... You know, we always talk about, in this industry, the acceleration for consumption, but really that's a poor way of saying... Probably what we should be saying is an acceleration of value. So we're constantly in this battle to try and deliver value to our customers faster. That's what our customers want, right, and in essence we see Anthos as being potentially a big game-changer there so that, you know, our CIOs that we're talking with can show to their various stakeholders that they are making very good proactive moves into the cloud at lower-caught barriers of entry, right? >> Yeah. So, you brought up the the ML piece of Google. Wondering if you could help share a little bit on that. When I think back two years ago, you know, data was really at the core of what a lot of what Google was talking about. I was actually surprised not to hear a lot of it on the main stage this morning, but you know, AI, ML, what are you doing, what are your customers doing, does Google have leadership in the space? >> Google certainly has leadership in the space. Our customers, I think, relatively universally, think that their ML stack is the strongest among the competitors, but I think in practice what we're finding is there's a lot more urgency as far as just literal data migrations off of their data centers into the cloud, and I foresee a lot more AI and ML work as more move in. >> John: Yeah. >> So you might, in our booth here, not to give a plug, but we've got a booth down at the end with a full-fledged racing car, just to talk about the art of the possible with AI and ML. Our engineering teams in the race teams that we sponsor, they're there, the driver's there, you should go down and talk to 'em. We've taken all the race telemetry data for the last six months and all of his races and practices, we've aggregated that data all into GCP, run AI and ML algorithms on it to provide his racing team some very predictive ways that he can get better and that team can get better, and so I'd invite just anybody that wants to go there and take a look at, even if you're in banking, or if you're in retail, or if you're in health care, take a look at some of how that was done, because it's a very, very powerful way, to answer your question, head and shoulders down why Google is actually accelerating and exceeding in AI. >> And one of the things that Thomas Kurian showed onstage was the recent Hack-a-Thon they had with the college students with the NCAA data of the game that just finished, and throughout that experience, this is a core theme of GCP, and now Anthos, which is getting data in and using it easily, and scaling at a scale level that seems unprecedented. So this team seems to be the application... The new differentiator. >> I think it is. I think that announcement, obviously the big three takeaways for us, certainly, scale, unmatched. Certainly speed and migration with Anthos. If I could highlight one other, I was incredibly pleased with, well I've been pleased since Thomas' arrival in general by bringing an enterprise class strategy within sight of Google that I think are going to respond well to our enterprise customers, and part of enterprise class is also making sure that their partner community has amazing enhancement programs that really incentivize those partners that are actually in the full managed services space from cradle to grave, lifetime customer value. So we're very excited about even further announcements this week that no doubt have been inspired by Thomas to try and really take advantage of their partner community that are in the business of cradle to grave support of customers. >> You feel comfortable with Thomas. He's taught a lot of customers, he knows the enterprise. >> We've had an opportunity to meet with him. We've had some shared customers that have had a great privilege of getting to know him and support us and collectively them. >> John: He knows the partner equation pretty well, and the enterprise. >> Without a doubt. >> It's about partnering, because there's a monetization, the shared go to markets together. Talk about the importance of that and what's it like to be a partner. >> Yeah, without a doubt, again, you know, his embrace of the open-source community that you saw today, really taking advantage of highlighting partner value is wonderful, but I think Thomas, above anything else, knows that Google needs to scale. They need to scale, and then they have to have breadth and they have to have depth, and, you know, to get to where Google needs to be over the course of the next two, three years, it's wonderful, it's refreshing, it's 100% accurate that Google knows and Thomas knows that the path to do that is via partners; partners that share in Google's vision, that are 100% aligned to the same things that Google is aligned with, and I think that's why I'm so thankful to be at SADA, large in part, because all of the things that we care about in terms of our customer success as well as Google's success, we all share that, so it's a great trifecta. >> It's a ground-floor opportunity. Congratulations. Guys, talk about your business. What's going on? You've got some new offices I heard you opened up. What's going on in the state of the business? Obviously the Google focus you're excited about obviously. >> Yeah, yeah, yeah. >> There, at the beginning, I called Google the dark horse. I think with the tech that they have and the renewed focus on the enterprise, building on what Diane Greene had put foundationally, Thomas is meeting with hundreds of customers. He's so busy he doesn't have time to come on theCUBE, but he'll come on soon, but he's focused. This is now a great opportunity. Talk about your business. What's the state of the union there? Give an update. >> I can take that one if you don't mind. >> Go ahead. >> You can add poetic color if you want. (laughing) Yeah, so as I said, we're entering a new journey for SADA in light of renewed focus, renewed conviction to Google. We are investing more than we ever have into the common belief that Google is the one to beat in terms of momentum, drive, and ultimately winning the hearts and the minds of who we've talked about. So, over the last four months, we've opened five new offices in New York, Austin, Chicago, Denver. Our headquarters is in Los Angeles, and just recently, we just opened a brand new office in Toronto, so we can really help our Canadian customers really see the the same type of white-glove treatment we provide those customers in the States and so that's why, well, I wasn't earlier, but I'm walking around with a Canadian flag. We're very excited about the presence that we're going to have in Canada >> Its "Toronno." I always blow and I call it "Toron-to," being the American that I am. It's "Toronno." >> Dana: Glad you said it right. Good. >> Now, on the engineering side, so you guys are on the front lines as also a sales, development, there's also customer relationship, engineering side, so I'm sure you guys are hiring. There's some hard problems to solve out there. Can you guys share some color commentary on the type of solutions you guys are doing? What's the heavy? What solutions are you solving, problems that you're solving for customers, what are the key things that you got going on? >> Yeah. >> Well, a lot of cloud migrations, a lot of web and application development, custom development, and data pipelines. I'd say those are really the three key focus areas that we're working on at the moment. >> One other thing, too: so... we believe that we want 100% customer retention, always, and that goes above and beyond an implementation. So the other big area of investments that we're making is in a whole revamped technical account management team, so for those of our GCP customers that have had the privilege, we've had the privilege of working with and for, we are building out a team of individuals that will, well beyond the project, stay with that customer, work with them weekly, monthly, quarterly, and try to always find ways to expand and move workloads into the cloud. We think that provides stickiness. We think that provides ultimate value to try and help our customers identify where else they can take full advantage of the cloud, and it's a fairly new program, and large in part I just want to thank Thomas and the partner team for new programs that are coming out to help us so that we can actually reinvest in things that go you know throughout the lifecycle of the customer. So, very, very good stuff. >> Dana, Chris, thanks for coming on. Appreciate it. We'll check out your booth, the car's there, with the data. Bring that data exhaust to the table, pun intended. >> Yes. >> Analyzing with Google Cloud, Anthos. Good commentary. Thanks for sharing. >> Really appreciate being on board. Thanks for having us. >> Alright, great. CUBE coverage here live on the floor in San Francisco. Google Next 2019. This is Google's cloud conference. Customers are here. A lot of developers. More action, live on the day one of three days of coverage after this short break. Stay with us. (theCUBE Theme)

>> Announcer: Live from San Francisco, it's the Cube, covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Welcome back everyone live here in San Francisco at Moscone, this is the Cube's live coverage of Google Next 2019, #googlenext19. I'm John Furrier with Stu Miniman, as well as David Vellante, who has been co-host, he's out there getting stories and getting all the scoop. We are here with two great guests, Cube alumni's, Aparna Sinha, the Group Product Manager at Google, and Chen Goldberg, director of Engineering, Google. Both the architects of the big wave that we're riding. Containers, kubernetes, and anthos. Guys, great to see you, thanks for coming on again. >> Aparna: Thanks for having us, great to be here. >> Chen: Thank you. >> So, you were smirking last night when we saw each other at the press gathering, knowing what was coming. I watched the keynote, it was awesome. I didn't get a chance to see the spotlight session you guys just had, but Anthos, obviously the rebranding and the additional integration points for making things run end to end, this is our dream come true, Devops Infrastructure as Code is happening, we've been talking about this for a while, you guys are behind it all, give us the update. >> So 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? 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 announcement. In our spotlight we actually walked 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 the product, which is what's unique really. So we had two of those folks up on stage talking about the transformation that Anthos is creating in their companies. >> I want to get to the customer focus a little bit later, but I want to just get it out on the record while you're here, because there's not a lot of time on stage other than the great demo Jennifer Lynn did. What actually is the difference, what's the new things, because obviously its a rebrand, some people might say, "Oh, they're just rebranding the announcement from last year", what were the new things, what are the new elements of Anthos, why is it important, what does it mean, what's under the covers, tell us what's new. >> Chen: So, first of all lets talk about, "What is Anthos?" Anthos is a Google opinionated solution that lets you right once, deploy anywhere. Really, the key thing about Anthos is choice. What we've been hearing from our customers, how much they appreciate choice in their journey to the cloud and modernization in general. The main thing that we have announced is that everything we have announced last year is GA. So talking about GKE On Prem, Anthos config management and our marketplace and the control plane from managing multiple classes, all of that has moved to GA. when thinking about choice, we've added new capabilities and one choice that customers are thinking about, "Do I need to choose a single cloud provider?" I had a discussion just yesterday with one of the customers and they said that when they exclude a cloud provider from their strategy, they're actually blocking their own innovation and that might get even a bigger risk for them. So we know that customers are adopting a multi cloud strategy. The big announcement here is that we are moving towards, or maybe we are even leaning more into multi cloud, we already had other solutions that we were talking about and definitely with Kubernetes and Istio talking about open API's, but we are leaning in towards multi cloud strategy, so that would be one. The second thing that talks about choice, is "How do we start?" One thing we are hearing from our customers is the importance that they want to innovate with what they have. So Anthos migrate, lets them take their existing applications, package applications that are running today on VM's and onboard to Anthos automatically and see value. So those are the top two announcements and I think the third one would be around all the partnerships, which is part of the people we've been working with in eight months. >> That's awesome. >> Stu: I'm sorry, the migrate piece, that's not GA yet, am I understanding? >> No, it's moving to beta. >> So Stu, you and I have been talking about applications, Renaissance, multi cloud, obviously is a reality for enterprises. Now you've got the hybrid model, this is kind of in the main themes of what this all means with anthem. So its holistically looking at the cloud, as you said, not just Google Cloud. This is a key nuance, its kind of embedded in the announcement, but its not just Google Cloud. >> That's right and I think in that sense, Anthos is a game changer, its not just an incremental improvement to something that's existing for customers. Its not like its just something faster or cheaper or adds more features, its actually something that allows them to do something they couldn't do before, which is, have a consistent platform that they can use to write once and deploy their workloads anywhere, On Prem, in GCP and that we had, but expanding that to any cloud, not just Google Cloud. >> I want to get your guys' thoughts here because you've got the brain and trust inside Google Cloud, because I've been talking on the cube about this and publicly. There seems to be confusion around what multi cloud means, and a company is an enterprise, there's a lot of things going on in the enterprise, so certainly the enterprise will have multiple workloads. There's certain situations that some people say, "Hey, this workload would be great on this cloud, this workload would be great on that cloud." So its not about having a cloud for cloud's sake. "We have to standardize on Google, we have to standardize on Amazon." Instead, what I hear, and I want to get your thoughts and reaction to is, I'd like to have a workload that has data, highly addressable, really low latency for this workload, and a cloud for this workload, but together its multi cloud, this seems to be a trend, do you guys agree with that? Is that something that you're seeing, is that the main message here? It's not so much standardized on the cloud, but have multiple clouds, pick the right cloud for the job, kind of philosophy. What's your thoughts, this is kind of a philosophical question. >> So this is exactly what we are hearing from our customers about their multicloud strategy and exactly what you are saying. This is actually for most of them is a reality, either because they have been organically building things in the cloud or they want to get to multiple geographies, and it's not only a cloud vendor, we need to remember that On Prem is where most of their workloads are still running and where they still need to innovate or when you talk about retail or banks, they have their branches and their stores where they need to have compute at. Really, services are spread all over. Now the question is, this kind of situation creates a lot of risk for our customers. Security risk and talent fragmentation, which are related, so how can I manage all of those environments? >> The risk is multi cloud, or one cloud? >> So multi cloud actually increases the risk even further, so they already have a multicloud reality. That's their strategy forward, but how can they mitigate risk with that reality? We are talking about kubernetes gave you portability of workloads, but how can you do portability of skills and making sure that your talent can really focus where it matters and not be spread too thin, so this is one example that I think Anthos is really unique about using it from our hosted control plane on GCP. >> So let the workloads decide what's best for the workloads and let the clouds naturally use kubernetes. >> Yeah, I mean one thing I've seen in our customer base is, you know the line of business wants to innovate and they want to use the best service for whatever it is that they're doing and the different clouds have different types of services, they have different strengths. So, you don't want centralized IT to say, "Hey, no actually you can't do that, you have to follow this policy." We've seen many examples where centralized IT is taking months to approve cloud services and they've got a backlong of hundreds of services that they need to approve. That's really slowing down innovation, and, "why is that happening?" Because you don't have a consistent platform that you can run and use across clouds. Like you said, kubernetes actually solves that and so that's why were introducing Anthos based on kubernetes, so that you don't have that risk, you don't have that fragmentation and you can innovate faster. >> Lets do one more question and with compounds to complexity is old procurement rules might slow it down. I've got to buy this. So the old baggage on procurement standards, Its kind of a moving train. >> Yeah, I mean enterprise has its policies, we've been talking to some of they largest banks, we had HSBC on stage with us, we had (mumbles), which is one of the largest grocers, we have kohls, these companies have policies and they have compliance requirements and these are very valid compliance requirements and they need to be adhered to. Its just, how can you speed that process up, and if you have a platform that actually spans environments, it doesn't look different in each environment, you can imagine that simplifies the process, it simplifies the approval process because the platform's already pre-approved and then new services as they come online, if they follow a certain pattern, they're kubernetes approved services, then it's much easier to approve them and it's much easier to unlock that productivity without increasing risk. >> If I could poke on that just a little bit (mumbles) approved services isn't a term I've heard yet. There are dozens of providers that have kubernetes, Anthos I know is different but if I go out there and use kubernetes from a different cloud provider or a different service provider. Kubernetes is not a magic layer, everybody builds lots of stuff on top of that and a concern is if I just have a platform that spans all of these environments. There's skillset challenges and do I also get a least common denominator. Cloud is not a utility, GCP is very different from the other clouds, how do I balance that and how do I make sure that I'm actually being able to get the most out of why I choose a specific platform or cloud. >> That's where Anthos is that layer that actually is more than kubernetes. We have, in Anthos, an opinionated platform from google that utilizes kubernetes but it isn't just pure kubernetes, as you would experience it from the open source with the fragmentation, we're working with certified kubernetes distributions and we've got this marketplace where the applications that are in the marketplace have been tested and certified and are supported by a set of partners as well as by Google Cloud to run on these different distributions that you connect and register with Anthos. >> To give maybe another perspective of that, what we have seen with kubernetes is that customers do appreciate that consistency. They have been demanding, for example, that all kubernetes distribution will be conformed. We had that announcement when we were on stage today about consistency and how we can integrate PKS into Anthos. I think what customers are telling us, they don't want us to innovate in that layer. So they appreciate us using open API's and using sensibility which is predefined and actually allows that interoperability of services and this is something that is really in the foundation of Anthos. >> Well you guys have done a great job, we've been following the progress from day one and watching the foundation of Google Enterprise. You guys have been big contributors, congratulations to your work, it's great to see the progress and it seems to be, the train's moving faster on the tracks, so congratulations. I guess my final question for you guys is, boil down Anthos. To the folks watching that are in IT, they're trying to solve some problems, a lot of people realize and wake up, "wow I've got multiple clouds." That's not (mumbles), that's reality. They see billing statements from multiple vendors how they still want maybe hybrid, what does Anthos mean to those people? What is it about, what is it? I'm trying to get bumper sticker. What's the bottom line, what is Anthos? >> So Anthos gives you a choice without the risk. That means that they can choose an existing service or a new green field service to use, On Prem or in the cloud. Containerized or uncontainerized, and they can build on top of that at their own pace. So that's the choice and they can mitigate risk by giving those tools to manage that consistently. The other thing I would say for something that we are not talking a lot about because we are focusing about technology and requirements and constraints is what we hear about our customers that Anthos is good for the engineering teams, and what we hear our customers say, that because they are choosing this technology, their talent is appreciating that they can use the best and latest technology and their skills are portable to other areas as well and they can attract the best talent. That to me is a very big value for us that are looking to do digital transformation. >> I'll take a crack at it as well, so Anthos is Google's opinionated solution for hybrid and multi cloud and it is like Chen said, something that mitigates risk and gives users choice so that they're not locked in to a particular cloud and instead, they can build once and deploy anywhere. From a technical standpoint, it's three things. There's a multi cluster, multi cloud, management plane, that's hosted in Google Cloud. Number two, there's a service management layer which actually bridges your monolithic, migrated services with your green field services that are containerized and treats them all as services that you can secure, manage, and control, and then number three, we have an awesome marketplace from which you can deploy Google Services, you can also deploy partner services, and you can deploy them into anywhere that Anthos is registered and can run. >> So Anthos embraces the cloud, all clouds, all services. >> Anthos embraces the user and it puts the user first. >> Does this benefits, good choice, lock in options, negotiating contracts, developers love it, ... Guys congratulations, thanks for the insight, love the explanation of Anthos, thanks for sharing, appreciate it. (mumbles) Thanks for coming on, cube coverage here live in San Fransisco, we're breaking it down, Google Next 19, day one of three days, there'll be live cube coverage. We have all the leaders, google executives, all the engineers, coming on to explain to us what's happening, thanks for watching, stay with us for more after this short break. (funky music)

>> Narrator: Live from San Francisco, it's theCUBE, covering Google Cloud Next 19. Brought to you by Google Cloud and it's ecosystem partners. >> Hello and welcome back to theCUBE's live coverage, here in San Francisco, the Moscone Center. This is theCUBE's live coverage of Google Next 19, Google Cloud computing conference. I'm John Furrier, Dave Vellante my cohost. Stu Miniman's here as well, he'll be coming on doing interviews. Our next guests are the founder and CEO of SignalFx, Karthik Rau, and Leonid Ingolnik, EVP of engineering. SignalFx has been a great company, we've been following for many, many years. Pioneer in a lot of the monitoring and serviceability of applications, now prime time, the world has spun to their doorstep. Karthik, congratulations on your success. It's prime time for your business. >> Ya, thank you, John. >> John: Welcome back. >> Great to be on, we're on again. >> I'm glad that you're on because we talked six years ago about some of the trends, we saw early. We saw the containers, Docker movement, and also Kubernetes got massive growth. You had the visibility of what these services are going to look like, cloud web services, kind of the next level. It's kind of here right now. >> Yeah, absolutely, there are two things that we predicted would happen. One was that architectures would get a lot more distributed, elastic, and it would require a more low-latency monitoring system that could do realtime analytics. That was one of the key changes. And then the other thing that we predicted was that developers would get more involved in operations. Which is the whole DevOps movement. And now both of those are very much in the mainstream, so we're really excited to see these trends. >> And looking at the Google keynotes today, obviously we're starting to see the realization of true infrastructure as code, you're starting to see the beginning signals of, look at, we can actually program the infrastructure, and not even have to deal with it. This is key, and you guys have some hardcore news, so let's get that out of the way. You guys got some updates, let's get into the news, and then we can get into the conversation around what you guys are doing in the industry. >> So, today we're bringing three things to the conference, to boost customers and prospects, starting with announcing our support for cloud functions. Cloud functions are great technology that we're seeing adopted by retail. For spiky workloads, things where you have a flash sale and you need to understand what's happening, it may be lasting minutes, where our platform really shows off the best, which is the one second resolution data. Some of our flash sales we see from existing customers don't last a minute, right, so looking at this in a minute resolution of being able to react to this in a machine time rather than human time, is something that our customers now expect. The second thing we are focusing on is Istio, and Istio on GKE specifically. We're seeing service mesh adoption continuing to go both in new, modern application, as well as taking legacy workloads and unlocking the potential of taking those legacy workloads to the cloud. And with Istio, and specifically on Microservices APM, it's not just applicable to Microservices, we see a lot of our customers realizing a lot of value from tracing abilities that a service mesh like Istio provides, an ability to understand you topology and service interactions for free, out of the box, whether it's on-premise with Istio or on the Google environment. And then lastly, so we see customers and prospects adopt Kubernetes, we're also starting to see the next layer above Kubernetes coming in. And, with Knative, getting the support out of the box, whether it's the dashboard, the tracing of the metrics, and that, that's the third announcement we have today. We're fully integrated with Google's offerings, and we're able to monitor and provide you with some actionable content, just in a flick of a switch. >> So support of Knative out of the box. >> Leonid: Out of the box. >> Full SignalFx, with Knative on Google Cloud. >> That is correct. So those three things. >> Karthik, I wonder if you could give us some insight as to what's going on in the marketplace. A multicloud is obviously a tailwind to you, but multicloud, to date, hasn't really been a strategy, it's sort of been an outcome of multi vendor. So, is multicloud increasingly becoming a strategy for your customers, and what specific role are you playing there to facilitate that? >> 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 their largest spends. 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. A lot of their more traditional enterprise workloads that were running on Windows servers, potentially running on Azure, 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, they are looking at multiple cloud vendors. >> So we heard some customers onstage today, talking about their strategy, I think Thomas asked one retail customer, how'd you decide what to put where? And essentially he said, well, it's either going to go into the cloud, lift and shift, we're going to refactor it, reprogram it essentially, or we're going to sunset it. What he didn't say is, we're going to leave some stuff on-prem. Which somewhat surprised me, 'cause of course, especially into financial services you're going to get a lot of stuff left on-prem. So what's your play, with regard to those various strategies, and for the legacy stuff, I know you're cloud native, that's your claim to fame, but can you help those legacy customers as well? Talk about that. >> Yes, absolutely. >> So I think, what we've seen is it's a given now, that organizations are going to move to cloud. It's a question of when, not if. And the cloud form factors are just, are fundamentally different, they're software-defined. Right, a traditional data center, you're monitoring network equipment, storage devices, you're monitoring disks and fan failures on individual servers. When you're running in a cloud, it's a software-defined infrastructure, and it's far more elastic. And so even if you're just lifting and shifting, how you think about monitoring and observing this new cloud infrastructure's fundamentally different. So we're there for the very first step of the journey for an organization, to get the visibility they need into the new architecture, and many times we're also helping them understand the before and after, so how do I compare my performance in my on-premise data center to what it looks like in the cloud? That's step one. Step two is, they start chipping away at those monoliths, or they have new initiatives, that are digital initiatives, that are running in Kubernetes, or container based architectures, microservices based architectures, and that is a fundamentally different world. How you observe and monitor, deploy, not just monitor, the entire supply chain of how you manage these systems is different. So there, they have to look at different solutions, and we're obviously one of the key players, helping them there. >> Leonid, we've been doing theCUBE now for a decade, and I think John, it was a decade ago we said, we made the statement that sampling is dead. So I love your approach, you're not just taking small samples to do your performance monitoring. What's the architecture that enables you to do that, could you talk about that a little bit? >> So I think the most interesting thing with more modern architectures, especially with microservices adoption, is the complexity of how the transaction flows through the system. And then, basically tossing the coin, like we used to be able to do, in previous generations, to capture some traces and get the data you need. Doesn't work anymore, because it's very tough to predict at the beginning of the trace where the transaction's going to go. We're taking a completely different approach on the market. We look at every single transaction, at scales, we have prospects that are talking at us about volumes of giga span in minutes, so one billion spans observed a minute, and with some of the interesting tech we've built, we are able to pick the interesting things. And the interesting things have a couple categories, transactions that occur infrequently, transactions that are maybe above P90, right, the slow ones, because when look about performance and the understanding of how the application performs, you really want to know what's slow, not what's normal. But you also have to capture enough of what's normal. So with some of our tech, we're still able to keep about 1% of transactions, but the right ones, and that's the biggest differentiator with what we put together for the APM product. >> One of the things I want to talk about with you guys is how you relate to some of Google's announcements. The key things, I'm oversimplifying now, but they got a server list kind of announcement, got Cloud Run environment things, the regions, which is global, and then obviously open source commitment. You mentioned functions, you mentioned Knative, obviously open source. You're seeing open source being much more of a production IT capability, so you guys obviously hit that with these solutions, so the question I have for you guys is, how hard is it for you guys to provide that real time monitoring, because Google needs to build an ecosystem, that's what they're not talking about, they didn't really talk about on stage, their ecosystem. So you guys are a natural fit into service mesh, which they showed onstage, Jennifer Lin showed a great demo. So Google has to build an ecosystem, you guys are clearly positioned, through your announcements, that you're deeply integrated with Google. Cisco announced and integration, obviously they have an integration, so integration seems to be the secret sauce, (laughs) with cloud, to play in this ecosystem. Could you guys elaborate on that dynamic, because it kind of changes the old formula for ecosystems? >> Yeah, it's very different, right? In the old days, you had proprietary systems, so the only way you could actually build an integration is, you had to get your product managers in a conference room with the vendor and get visibility in the roadmap, access to everything, and that's why there were, it just took a lot longer to get things done. I think what you're seeing with Google is, they've taken a very standards based approach to everything, right? So, whatever technologies that they're releasing, they're trying to build it as a standard, you can run it on any cloud. Instrumentation is a core part of their philosophy of any technologies that they're releasing, such that, you have a new platform, it has a metrics library, other standards based mechanisms to collect metrics, traces, events. What that does is it makes it easy for the ecosystem to just pick it up, right? Our belief has been, you know, in the old days monitoring was all about proprietary instrumentation and collection. Today it's all about analysis. So the fact that all of this is openly available, in open source or standards based mechanisms, is great for us, it's great for the customers, it's great for the ecosystem. >> That's their one-to-many way of building integration systems. >> And that's why you guys are supporting Knative, as an example. >> Yep. >> That's really kind of supporting the open source ecosystem, ties it to Google cloud. >> Yeah, I mean, we generally support, our customers are running in every single configuration (John laughing) and type of technology you can imagine, so it's our work philosophy to just be everywhere they are, and to support all of the tech that they might be running. But in general we're big supporters of open source, in that, you know, developers are now running most software. That's the world of web services and SaaS. And developers have a preference for understanding the stacks that they're running on, and being able to control it and so that is obviously why open source has just taken off the way it has. >> I think the other dynamic of embracing open-source and standards is it allows us to focus, not on the meetings with product managers and getting an insight into the roadmap, but on getting the standards based integrations deeply configured with some of, for example, content we provide out of the box for use to your own Google versus for use to your own premise or use to anywhere else. And that's where the differentiation and the value for the customer is, not in kind of getting together on the roadmap and figuring out what to build next. >> You guys should move fast to take advantage of the lift that they get. I'd love it if you guys could just take a minute each to explain SignalFx value proposition 'cause you guys I think are perfectly positioned now as this becomes infrastructure as code with cloud. When should a customer call you guys? When are guys needed? When do guys get called in? Where are you winning? Take a minute to explain when and where you guys fit into the customer environment. >> I would say as soon as a customer starts to leverage a cloud infrastructure, whether that's public cloud, private cloud, open shift, to open stack, pivotal cloud foundry, or a public cloud, how you monitor your infrastructure will be fundamentally different, and we can help you with that. And then along your journey, once you've moved to cloud and you start thinking about how do I build modern application architectures, modern web services, devops, then we are necessary. You cannot get to the cloud native stage where you're releasing software every week unless you have a monitoring system like SignalFx. >> Great, just great. I want to also get your pick your brain on some dynamic that I saw in the keynote, it might not be obvious to the folks that are in the mainstream, but Jennifer Lin gave a demo of taking a workload, and porting it over with a small script, no code modifications, running it on a container. >> Dave: The cloud vMotion >> Anthos migrate was the product but basically migrating workload into containers in the Kubernetes engine automatically with no re-writes, she said what you, where you want. So that kind of, I can see what she did there and that's very cool and that's a game changer that's infrastructureless code, but then she moves to a conversation around services meshes. 'Cause once you get these things on a containerized, inside the Kubernetes engine, you're kind of enabled for using service meshes. This is like the Holy Grail of microservices. This is a big growth area. Can you guys explain what this means, what does this service mesh mean, 'cause once these workloads start to be containerized you're going to see much more migration to this new model. Where does service mesh kick in and why is it important and what should people pay attention to? >> Well I would say one of the fundamental challenges of microservices is what people are calling more and more, observability, right. Because you have so many systems, like a single application or a single transaction, what is an application anymore? A single transaction can flow through dozens, hundreds, of individual microservices. So, and you're changing your applications all the time. So figuring out when you've introduced a problem very quickly is a big challenge. And so one of the big benefits service mesh brings is it provides automatic instrumentation of your applications and requests in a way that makes it very out of the box to get visibility across your entire environment. So that is step one, getting that visibility. The next step is then you obviously need to analyze this corpus of data and its massive, and that's where a solution like SignalFx comes in we can collect all this data and help you really T-signal for noise. Then the last step really is how do you take action on that data, how do you automate responses? Whether it's rolling back a canary release, or shifting a load balancing strategy so that if there's a bad node you stop sending traffic to that. All of that can be automated. And so what service mesh is doing is it's providing the sub street to allow you to really provide that closed loop automation, that infrastructure is code, you know that's the movement that everyone is really focusing on right now. It's a key technology to enable that. >> Tell me about the observability trends, because this has been a hot venture funded area. We hear trace, dynamic tracing, these are techniques, there's a variety of different mechanisms for observability. How does Kubernetes, and now service mesh's impact observability, where is the puck going to be, if you're going to skate to where the puck is, what's the state of the situation? >> Well I think what it does is it makes instrumentation a lot easier. So typically a challenge when you're running a old Java application from 10 years ago, getting visibility into the app, it's a monolith. You to get the full visibility and the full call stack, that's harder to collect. When you're in a microservices world with service mesh, you're getting that visibility automatically. And what becomes more important is understanding the east/west latencies across all these different microservices. So because instrumentation is so much easier with all these new technologies, what it means for monitoring is it really shifts the focus to who can make the most sense of this data, who can provide assistance to the operators to really help them pinpoint when there is a problem, what is the potential cause, and to triage it very quickly. So again, the whole value proposition is shifted to the analysis. >> So Leonid given that, what are your engineering priorities, maybe share a little road map if you could? >> Sure, so if you think about what we just talked about, adoption of Kubernetes, or service meshes, the challenges that those environments bring both the femorality of the environments on which you now deploy compared to what most of the operators and application developers are used to, as well as the constant motion in the system, right. Kupernetes will move the workload several times an hour and the amount of data those systems tend to generate becomes fairly difficult to cope not just to a monitoring system, but to a human, right? So how can you take about what Karthik talked about all this noise and get it into an actionable intelligence across tens of millions times series an hour possibly in the middle of the night, how do you get the operator to the root cause very quickly? And what kind of technologies do we need to have as a vendor, and that's where we spend a lot of time thinking about, how do we provide actionable insight for those highly femoral environments that are getting even more femoral? >> One of the themes that's here, and already we're seeing it pop out of Google Next, and we've seen it in the other cloud shows we've gone to is, complexity is increasing, and the business model that seems to work well is taking complexity and making things simple. >> Mhm >> Right >> Whether it's extraction layers or other techniques, how does a customer, who's got all these new suppliers, new dynamics, new shift in the marketplace, new business models, how does a customer deploy IT, deploy cloud, and move the complexity to a simplicity model? This is a hard challenge. >> Well, I think that's one of the fundamental mental model shifts that an organization needs to make. Complexity was your enemy in the old days. Right, because you were releasing software once a year, twice a year and so you don't want it to be complex. But if your goal is speed and innovation, you're going to have to accept some complexity to get that speed and innovation. You just have to decide where is that complexity acceptable and how do you change your processes and your tooling to minimize the impact of that complexity. So I think I would disagree with that sentiment because I think organizations have to start thinking about things differently if they really want to move quickly. >> So embrace complexity. >> You have to embrace complexity and you have to think about what are the mitigating factors I need to take in my organization structure, my processes, my tooling, to compensate for the additional complexity I'm creating, but still release software as quickly as I used to. >> I would add, I think in a lot of ways you're shifting the complexity from infrastructure management more up the stack. >> That's, ya. >> In many ways IT is getting more complex, to your point Karthik. >> Ya, I mean all of these extractions make perhaps the underlying infrastructure less complex to manage but you're absolutely right Dave, the applications will become more complex when you move to microservices and you've got 50 pizza box teams working on a bunch of microservices, there's an organizational dynamic as much as there's a tech dynamic, right. How do you get these 50 teams to communicate with one another if there's a issue, an incident. >> And the data pathways, the data pipelines, the journey of that data, is much, much more complex. >> Ya absolutely. >> Final question, as the developers and operators come together, that seems to be a big trend. Developers want frictionless environment, programmable internet, they're going to be spitting up these services and then the operators have to run it. Those worlds are coming together. What's your thoughts on the operations side and developers coming together? >> I think they're two peas in a pod. They're two parts, they're two necessary parts. I think you will see more and more automation move up the stack. I think the place to start is really in the infrastructure layer and it will make the lives of operators of these cloud environments simpler. And then I think that automation will move up the stack as well over time. >> What's the most important story coming out of Google Next, if you can just kind of read the tea leaves, get a sense of what's going on here? 2019, whole new year, whole new game changing. What are your guys' thoughts on what's kind of going on in the cloud business this year? What' going on at Google Next? What's the big story? >> Well I think from my perspective it's very clear they're focused a lot on multi cloud, cloud agnostic and where the right ones run anywhere and run on Google. That seems to be a big push. And then the other is they're just behind on go to market and they seem to be focusing quite a bit on investing in all of the other elements, non-technology elements, to make organizations successful. >> Leonid, on the tech side, what do you see as the big in story here? >> I think Google was always found on the tech and they're continuing to deepen it. I think more interesting for me the story is about the go to market and embracing the complexity of the enterprise. >> Right >> And recognizing that not every application that will come to Google Cloud will be architected in a modern way. The thousands upon thousands of applications that have to lift and shift still and surviving some of the announcements around the service mesh are great enablers for those customers to start embracing the cloud technology. >> Tech geeks love service mesh, I'm a big fan. Guys, thanks for sharing the insight. Give a quick plug for what's going on for SignalFx. What's going on in the company? What are you guys looking to do? Are you hiring, are you expanding, what's going on? >> Ya we're in rapid growth here as a company. We're really excited about microservices APM product that we introduced late last year and what that does is it brings distributed trace analytics to our core monitoring platform. So what that allows you to do is get bottoms up visibility into each individual component through our metrics system, but also a transaction oriented view through our micro services APM product. Bringing the two together, super excited about the level of sophistication and analytics that it's going to bring our customers. >> What's the head count? What's the head count now, roughly? >> We're about 250 people right now. >> 250 okay, and you've raised over nine figures, I think? >> Over a hundred million dollars yeah. >> That's great, congratulations. >> So Karthik as a founder, what's it like to have the vision early and seeing it, and staying the course? And you've stayed on the right wave. >> Yeah. >> And now the wave's gotten bigger, what's it like to be the founder and be where you are now? >> It's terrifying at first because you don't know if the markets are going to move in the direction you need them to, but it's very gratifying when that actually happens and we're very fortunate that the world is moving very squarely into cloud based architectures, and not just cloud but all of these modern run times that are exactly what we predicted the world would look like for the last six years now. >> And you had a great team, engineering team was solid, you've got great chops. Any advice for entrepreneurs out there who are now getting into this world, maybe younger entrepreneurs coming out, building some applications? What's your advice to other founders that are... >> I could spend hours on that topic (laughter) >> I think >> Dave: Ship early and often >> You just have to continue to have faith and conviction in your beliefs and stick it out because there are lots of twists and turns, especially in the early days if you're betting ahead of the curve, you need to be patient and continue to have belief in yourself and your ideas. >> Well congratulations the world has right spun to your doorstep, congratulations with SignalFx. Thanks for coming on theCube. We're in San Francisco for theCube's coverage. Day one of three days. I'm John with Dave Vellante. Stay with us for more live coverage after this short break. (light electronic music)

(upbeat music) >> Tech people love tech. Consumers love to benefit of tech. No consumer opens up their iphone and says, "Oh my gosh, I love the technology behind my iphone". >> What's it been like being on the Shark Tank? >> You know filming is fun. And hanging out is fun, and it's fun to be a celebratory at first. Your head gets really big and you can get tables at restaurants. >> Who says tech isn't got a little pizazz? (laughing) >> Announcer: More skin in the game. In charge of his destiny. >> I mean you guys are exciting? >> Announcer: Robert Herjavec, is Cube Alumni. (upbeat music) Live from Silicon Valley, it's the Cube, covering Google Cloud Next' 17. >> Welcome back to the Cube, we're doing two days of live coverage here of the Google Cloud Next' 2017 here in the center of Silicon Valley from our 4500 sq foot Palo Alto studio. Happy to bring back to the program a multi time guest, but first time in his new role Praveen Akkiraju now the CEO of Viptela. Thank you for joining us. >> Thanks Stu real pleasure to be here. >> Praveen we were joking, it's like you first came on the Cube back in 2012, you've been on the program at many of our shows, but now you're at our place here, we've got the nice studio, so happy. >> Yes it's really impressive. It's a, you guys have come a long way and it's been an awesome show when I was at VC and I'm really excited to be back here with you. >> Awesome, thank you so much. Why don't you give our audience why Vipetla? What was exiting o you about the opportunity? We've has the opportunity of interviewing some of your folks over the last couple of years at shows like the Emerald and alike? >> Absolutely, I think it's interesting, when you think about sort of what's happening in the IT industry as a whole. There's a revolution going on in the cloud. You know the show that you guys are covering as well as what's been happening over the past couple of years. Applications are basically migrating out of the data center, whether it's into the public cloud into into PaaS platforms, SaaS platforms and such like, similarly at the edge right, users have been migrating away from their desktops right, mobility has unleashed the user to be wherever they need to be and be able to still be productive. In addition to that, you have a whole bunch of things happening in the edge in terms of devices and things coming onboard. Now if you think about these two worlds and the revolution that's happening there, the actual connectivity between those two has been frozen in time right. Majority of the enterprises today are still connected using MPLE, VPN technology which is invented 20 years ago to solve the problem of ATM like emulation or IP. So I think what was really interesting to me about Viptela is it's truly about redefining the network connectivity between users and applications for the could era. And that's really what our mission is and that's what we're really excited about. >> Yeah Praveen it reminds me a lot of you know, what we saw in the data centers when it came to networking. There was that big shift for a number of years in saying, "Well it was the client to server "and then that machine to machine". Everything that happened with virtualization. We went from north south traffic to east west traffic. We talked about forever. Now as cloud pulls in those connectivity. Reinventing what's happening in WAN. >> And absolutely and think about it, if you're a user, you might be accessing your applications in the data center, But you might need to access a something on a SaaS platform well if you're sitting at a branch office do you want to go back to the data center and then head out to the Cloud? Or do you want to be able to take the best path out? Most branches today, have internet connections that our faster than anything MPLS can provide. In fact, there's a data point, one of our customers gave us. The per megabit cost for MPLS VPN is about $200. The per megabit cost for internet is about $2. And you think about the speed as symmetry and obviously the SLA's are different right. So you want to be able to make sure that you can leverage the best connectivity, but also make sure the applications are mapped to the appropriate SLA's transport. So, what we do is essentially, we think about ourselves as the next generation overlay. So we can, the Viptela fabric essentially encompasses MPLS, VPN, internet, LTE connectivity, and we're able to understand what happens in the underlay. But enterprises can just focus on how they want their users to connect to their applications without having to understand what's happening underneath. So that's truly the power of the software refined world if you will right. >> Yeah so, we've been talking for a few years. That whole SDN wave that came out, Google talks about themselves as the largest SDN company out there. But most of the discussion seems to have moved beyond SDN. You're area of SD WAN is definitely one of the hot conversations. Where are customers in kind of understanding this transition and where do things fit? >> Yeah it's a great point, I mean the first wave of software defined networking was essentially was about solving the data center connectivity problem. So how you connect machines more dynamically. How you connect do you connect capacity more dynamically. So application can migrate, you know this notion of sort of machine to machine communication in a dynamic fashion. And being able to potentially even stripe it out to the could. But the first wave did not address hard users connect to their applications. So we think of ourselves from an SDN perspective, kind of leading that second wave of software defined networking, which truly is about user experience an application experience. Connecting users wherever they are to applications wherever they are right. In a scalable secure and dynamic fashion. >> Very different discussion from what I think of. The guys from Nicira that turned into the NXS, that seemed very tied into how VMware talks about hybrid environment. When you talk about, when VMware on AWS goes in. I need that NXS in there. You know you worked at Cisco for a number of years, what they're doing with ACI now is talking more about that as opposed to the client the application layer. >> Exactly right. And I think that at the end of the day. We optimized how applications can migrate and move. And how they can get the best capacity. But the whole purpose is to really deliver those applications to the users. And the WAN has been kind of this, it's frozen in time for 20 years, primarily because it's hard right. It's really hard to be able to figure out what the underlay actually looks like. I mean some of these, some of our customers are global. I mean we have sights in Vietnam. In India, in the US obviously, But it's a global or it's a global footprint and being able to overlay something on top that still give you the predictable performance and be is secure, is something that's been a hard problem to solve. And that's what's really exiting about what we're doing at Viptela. >> It's really interesting stuff. Talk about how you guys partner with, interact with the public cloud environments? >> Yeah you know so we, we're obviously most of our controller are hosted in AWS as well as Verzion which is another, which is a key partner. These are the two big two big sort of partners for us in our in terms of our controllers. But we think about, we partner with AWS, we partner with Microsoft from a Open from an Office 365 perspective. And there a lot of our customer who want to have a much more predictable, high, low leniency access to Office 365. A lot of our customer have workloads in AWS. So we're able to actually spin up a version of our device to front end VPC's and AWS so you can then terminate. Essentially, we treat the cloud as a node in the fabric right. So it helps all the policies, it helps all the securities. Security aspects of it day one. So it's really super simple to set up. We don't treat the cloud separatetly, we just say,"well here's another branch "or a head end". Let's just, can I connect it in. And let the customer define the policies that they see fit. >> That's great so AWS and Office 365 leaders in their categories, got the Google Show going on this week. What do you hear from your customers when it comes to G Suite and Google Cloud? >> Yeah I mean there's a lot of customers who use the G Suite. Mainly Googe Docs particularity. In the context of sort of some of the small medium business that we work with. So again, our job is to really bring users to the applications with the lowest leniency of having the best experience possible. So lot of the could providers essentially don't necessarily worry about how customers get there. They just assume the customer shows up the the door but is a SasS platform or infrastructure is a service platform. So our partnerships with a lot of these providers are about insuring that you know we can collectively guarantee that their users get the best path forward. And that creates more stickiness for them. In terms of their service. >> Okay Praveen, let's talk about Viptela for a second, What's on your plate this year? Those industry watchers? What should we be expecting to see from you coming forward? >> Yeah what's interesting about Viptela is I mean we talk about obviously software define WAN as a category. And clearly as I mentioned, there's a huge leitant requirement to evolve the WAN connectiveness. And I would think that what Viptela does is sort of the next generation overlay. And we talked about sort of the different forms of connectivity which we give the control back to the enterprise. To say, "All you need to worry about Mr. Customer is "to say how can I define the segment or policy per user, "per application". So that's been sort of the focus of our initial use case for our fabric. And we've been tremendously successful, you know most of what we focus primarily on the global fortune 1000 type customers. So we have pretty much every verticals represented in our customer base. Large financials, industrial companies, car companies, retailers, health care and such like. But we think about this fabric as essentially solving the problem of connectivity so you now the next phase of our solution is really about how do we make cloud connectivity really simple and secure? So we're going to launch something in that space, where we make connectivity to infrastructure, service, SaaS platforms really seamless as part of our platform. So if you're a user in a branch or at the edge, you should be able to connect to your data center at the same level of experience and security as you would go to your cloud. So we want to make that super seamless. So that's I think, we call that Cloud En ramps. That's something that we're going to be announcing pretty soon. When I think about the longer term plan, evolution of this because of the platform is fundamentally grounded in routing, in understanding how scale happens, we have taken the traditional routing stake and disaggregated it. There's a data plane that's onsite, there's a control plane which is essentially your routing, and a management organization plane that sits in the cloud. So this allows us to solve many problems. So you can extrapolate forward and say well there's a whole problem internet of things. What is the internet of things problem? It is a whole bunch of devices at the edge which need to be connected to end points whether it's a data center or a you know a collection point. Dynamically, dependent on the phase of their. So those are the kind of problems we think we can solve. So Viptela is interesting because it's not just about SDN it's really about the next generation overlay between the users and the cloud and being able to address multiple use cases. >> Okay, and there are a number of companies. Plenty of startups, some of the big guys there. In the market, what really differentiates you guys? What are your customers coming to you for that the other guys can't do? >> Yeah I think it's, I would say really, so we're all routing geeks. I pretty much spent 19 years at Cisco. Built every platform that Cisco ships today. And so are most of member of the teams. We have I think one of the strongest collection of networking talent in the industry. And what we're able to do with that is as I mentioned re-imagine what the network connectivity needs to look like. In the era of cloud, in the era of internet of things. Our architecture is fundamentally modular as I mentioned right. There's a data plane, there's a control plane, management organization plane. We are cloud managed and cloud delivered. So we solve for scale very elegantly. Because we inherently use the properties of routing that has allowed the internet to scale to what it is as part of the core of our solution. That's one thing that's unique. The second aspect of this is, for us security is a day zero thing. You know, when we bring up a box, zero touch provisioning, it comes up with an Ipsec tunnel encrypted. And we do it without having to exchange keys. So it's inherently secure right. So that is a very significant issue because if you're using the internet as your pipe for your mission critical traffic how do you assure yourself that you're not going to be hacked? And your traffic is not going to be intercepted. So that's you know, some of the largest financial institutions have been on our architecture. Because they trust that. So that's a second piece. The third piece is from an application and a policy perspective we have the ability with our controllers to push policies and create segmentations for different use cases on a dynamic basis. So I'll give you an example so if you have a user in a branch, and you have basically another user comes in they have a different set of requirements. You can dynamically switch up a tunnel from your cloud controller to enable that to happen without every having to touch or configure any of the end boxes. So our cloud platform gives us tremendous amount of scale and flexibility. So that's the way I think about it. Scalability, security, an application policy and the different use cases that we're able to bring to bear. >> So final question I have of you Praveen, the networking world is changing faster than it used to. But I think back to... >> Praveen: Finally. >> for many years I would do slides on networking, and we'd talk about decade scale. So it's like you know, here's how the standard comes, here's how it roles out, here's how it adoption. The enterprise is risk adverse. Slow to change. Not doing anything. Why are things so exciting now in the networking space? What's different? What's driving that move and our customers moving faster? >> Yeah it's a great question and you know I think to put it differently I think networking enjoyed architectural consistency and stability for almost two decades. Which is not the case when you think about the data center or some of the other environment where there's constant change. Now having said that, when we think about what's driving this change it's really that these two revolutions that are going on, one in the edge where users are evolving really rapidly whether it's connectivity or sort of devices and such like and one of the data center of the cloud where applications are fundamentally changing their ephemeral. They're able to migrate between locations. So that's putting a lot of pressure back onto the network. To say, "Hey we need the network to be a lot more dynamic". We need the network to be a lot more flexible. A lot more cost effective. And that is the fundamental driver which we see as driving the customers' willingness to say, "I need to re-look at the network". And the other aspect of this is, as I said we re-imagined networking ground up. Clean sheet of paper. Learned the lessons from the past. And say, "How do you make this painless for the customer"? The reason why the network particularly the WAN has been stagnant is because it is painful right. It involved multiple connectivities, multiple carriers, multiple policies, it's not something that most enterprises want to deal with. By abstracting all that complexity away. We allow customers to focus on what they care about. Is how do I connect? Enable user connectivity with applications. And we take care of the underlay right. So I think those are the key things. I mean it's essentially the last leg of the stool if you will. In terms of moving truly to the cloud era. >> Alright well Praveen Akkiraju thank you so much for joining us again. 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