>>Yeah. Welcome to Docker. >>We were just, I mean, were completely blown away. There's nearly 70,000 people across the globe but have registered for Docker >>Con today Q 3 65 >>Jenny has put together an amazing set of all these speakers all day long in the sessions. And then you have captains on deck, which is essentially the YouTube live. Hang out where we just talk shop. >>My name is Peter McKee. I'm on the developer relations team here. Docker. Welcome to delivering desktop APS with Docker Containers, a digital conference platform with multiple tracks. So this is the >>point where every parent >>has to cross that line and say, Hey, do I really need >>to sit down and teach my >>daughter about Len Eggs and Docker and Cooper >>Nettie, with the global reach of the queue? >>Hardly sleep Last night I was >>up five. This morning. I've >>been waiting for this interview >>slot for most >>of the day. Okay, what is the >>name of that will know? What >>is the name of this? Well, that's right. That's got to go. The interaction was tremendous. Tremendous to 3 65 in this new world is how do we bring some of those things that make a great in person event to the virtual Cube. 3 65 Offering remote digital social community engagement from the Cube. The leader in high tech coverage. Yeah.

hi everyone this is dave vellante of the cube and i want to share with you an exciting development with some financial support from hpe the cube is hosting exascale day on friday october 16th high performance technical and business communities are coming together to celebrate exascale day now exascale day is happening on october 18th that's 10 18 as in 10 to the power of 18. now on that day we celebrate the scientists and researchers who make breakthrough discoveries with the assistance of some of the largest supercomputers in the world 10 to the power of 18 is a 1 with 18 zeros after that's six commas or seis comas for you russ hannemann fans of silicon valley fame remember he could only get to tres comas and he became suicidal when his net worth dropped below a billion aka dos comas now an exit scale computer exascale supercomputer can do math at the rate of 10 to the power of 18 calculations per second those are those calculations are called flops or floating point operations per second that's a billion calculations per second or exa-flops now we haven't hit that level yet that exit scale level but dollars to donuts we'll buy we will by next year now today we can do header scale computing that's 10 to the power of 15 calculations per second and we entered the petascale era in 2007 before that was the terrascale era it's kind of like dinosaurs which began in the middle of the dot-com boom in 1997. that's 10 to the 12th calculations per second or trillion per second so we can almost get our heads around that and all the way back in 1972 we had the first gigascale computer which was one times ten to the ninth yeah that's more russ hannemann's speed sorry rush you're not invited to at the exascale day party but you are so go to events dot cube365.net slash 10-18 exascale day it's right there in the screen so check it out mark your calendar we'll be sending out notices so don't worry if you're driving right now we have some of the smartest people in the world joining us they're going to share how innovations with supercomputing are changing the world in healthcare space exploration artificial intelligence and these other mind-melting projects we're super excited to be participating in this program we look forward to some great conversations october 16th right before exascale day put on your calendar see you there

>> Hi, my name is Andy Clemenko. I'm a Senior Solutions Engineer at StackRox. Thanks for joining us today for my talk on labels, labels, labels. Obviously, you can reach me at all the socials. Before we get started, I like to point you to my GitHub repo, you can go to andyc.info/dc20, and it'll take you to my GitHub page where I've got all of this documentation, socials. Before we get started, I like to point you to my GitHub repo, you can go to andyc.info/dc20, (upbeat music) >> Hi, my name is Andy Clemenko. I'm a Senior Solutions Engineer at StackRox. Thanks for joining us today for my talk on labels, labels, labels. Obviously, you can reach me at all the socials. Before we get started, I like to point you to my GitHub repo, you can go to andyc.info/dc20, and it'll take you to my GitHub page where I've got all of this documentation, I've got the Keynote file there. YAMLs, I've got Dockerfiles, Compose files, all that good stuff. If you want to follow along, great, if not go back and review later, kind of fun. So let me tell you a little bit about myself. I am a former DOD contractor. This is my seventh DockerCon. I've spoken, I had the pleasure to speak at a few of them, one even in Europe. I was even a Docker employee for quite a number of years, providing solutions to the federal government and customers around containers and all things Docker. So I've been doing this a little while. One of the things that I always found interesting was the lack of understanding around labels. So why labels, right? Well, as a former DOD contractor, I had built out a large registry. And the question I constantly got was, where did this image come from? How did you get it? What's in it? Where did it come from? How did it get here? And one of the things we did to kind of alleviate some of those questions was we established a baseline set of labels. Labels really are designed to provide as much metadata around the image as possible. I ask everyone in attendance, when was the last time you pulled an image and had 100% confidence, you knew what was inside it, where it was built, how it was built, when it was built, you probably didn't, right? The last thing we obviously want is a container fire, like our image on the screen. And one kind of interesting way we can kind of prevent that is through the use of labels. We can use labels to address security, address some of the simplicity on how to run these images. So think of it, kind of like self documenting, Think of it also as an audit trail, image provenance, things like that. These are some interesting concepts that we can definitely mandate as we move forward. What is a label, right? Specifically what is the Schema? It's just a key-value. All right? It's any key and pretty much any value. What if we could dump in all kinds of information? What if we could encode things and store it in there? And I've got a fun little demo to show you about that. Let's start off with some of the simple keys, right? Author, date, description, version. Some of the basic information around the image. That would be pretty useful, right? What about specific labels for CI? What about a, where's the version control? Where's the source, right? Whether it's Git, whether it's GitLab, whether it's GitHub, whether it's Gitosis, right? Even SPN, who cares? Where are the source files that built, where's the Docker file that built this image? What's the commit number? That might be interesting in terms of tracking the resulting image to a person or to a commit, hopefully then to a person. How is it built? What if you wanted to play with it and do a git clone of the repo and then build the Docker file on your own? Having a label specifically dedicated on how to build this image might be interesting for development work. Where it was built, and obviously what build number, right? These kind of all, not only talk about continuous integration, CI but also start to talk about security. Specifically what server built it. The version control number, the version number, the commit number, again, how it was built. What's the specific build number? What was that job number in, say, Jenkins or GitLab? What if we could take it a step further? What if we could actually apply policy enforcement in the build pipeline, looking specifically for some of these specific labels? I've got a good example of, in my demo of a policy enforcement. So let's look at some sample labels. Now originally, this idea came out of label-schema.org. And then it was a modified to opencontainers, org.opencontainers.image. There is a link in my GitHub page that links to the full reference. But these are some of the labels that I like to use, just as kind of like a standardization. So obviously, Author's, an email address, so now the image is attributable to a person, that's always kind of good for security and reliability. Where's the source? Where's the version control that has the source, the Docker file and all the assets? How it was built, build number, build server the commit, we talked about, when it was created, a simple description. A fun one I like adding in is the healthZendpoint. Now obviously, the health check directive should be in the Docker file. But if you've got other systems that want to ping your applications, why not declare it and make it queryable? Image version, obviously, that's simple declarative And then a title. And then I've got the two fun ones. Remember, I talked about what if we could encode some fun things? Hypothetically, what if we could encode the Compose file of how to build the stack in the first image itself? And conversely the Kubernetes? Well, actually, you can and I have a demo to show you how to kind of take advantage of that. So how do we create labels? And really creating labels as a function of build time okay? You can't really add labels to an image after the fact. The way you do add labels is either through the Docker file, which I'm a big fan of, because it's declarative. It's in version control. It's kind of irrefutable, especially if you're tracking that commit number in a label. You can extend it from being a static kind of declaration to more a dynamic with build arguments. And I can show you, I'll show you in a little while how you can use a build argument at build time to pass in that variable. And then obviously, if you did it by hand, you could do a docker build--label key equals value. I'm not a big fan of the third one, I love the first one and obviously the second one. Being dynamic we can take advantage of some of the variables coming out of version control. Or I should say, some of the variables coming out of our CI system. And that way, it self documents effectively at build time, which is kind of cool. How do we view labels? Well, there's two major ways to view labels. The first one is obviously a docker pull and docker inspect. You can pull the image locally, you can inspect it, you can obviously, it's going to output as JSON. So you going to use something like JQ to crack it open and look at the individual labels. Another one which I found recently was Skopeo from Red Hat. This allows you to actually query the registry server. So you don't even have to pull the image initially. This can be really useful if you're on a really small development workstation, and you're trying to talk to a Kubernetes cluster and wanting to deploy apps kind of in a very simple manner. Okay? And this was that use case, right? Using Kubernetes, the Kubernetes demo. One of the interesting things about this is that you can base64 encode almost anything, push it in as text into a label and then base64 decode it, and then use it. So in this case, in my demo, I'll show you how we can actually use a kubectl apply piped from the base64 decode from the label itself from skopeo talking to the registry. And what's interesting about this kind of technique is you don't need to store Helm charts. You don't need to learn another language for your declarative automation, right? You don't need all this extra levels of abstraction inherently, if you use it as a label with a kubectl apply, It's just built in. It's kind of like the kiss approach to a certain extent. It does require some encoding when you actually build the image, but to me, it doesn't seem that hard. Okay, let's take a look at a demo. And what I'm going to do for my demo, before we actually get started is here's my repo. Here's a, let me actually go to the actual full repo. So here's the repo, right? And I've got my Jenkins pipeline 'cause I'm using Jenkins for this demo. And in my demo flask, I've got the Docker file. I've got my compose and my Kubernetes YAML. So let's take a look at the Docker file, right? So it's a simple Alpine image. The org statements are the build time arguments that are passed in. Label, so again, I'm using the org.opencontainers.image.blank, for most of them. There's a typo there. Let's see if you can find it, I'll show you it later. My source, build date, build number, commit. Build number and get commit are derived from the Jenkins itself, which is nice. I can just take advantage of existing URLs. I don't have to create anything crazy. And again, I've got my actual Docker build command. Now this is just a label on how to build it. And then here's my simple Python, APK upgrade, remove the package manager, kind of some security stuff, health check getting Python through, okay? Let's take a look at the Jenkins pipeline real quick. So here is my Jenkins pipeline and I have four major stages, four stages, I have built. And here in build, what I do is I actually do the Git clone. And then I do my docker build. From there, I actually tell the Jenkins StackRox plugin. So that's what I'm using for my security scanning. So go ahead and scan, basically, I'm staging it to scan the image. I'm pushing it to Hub, okay? Where I can see the, basically I'm pushing the image up to Hub so such that my StackRox security scanner can go ahead and scan the image. I'm kicking off the scan itself. And then if everything's successful, I'm pushing it to prod. Now what I'm doing is I'm just using the same image with two tags, pre-prod and prod. This is not exactly ideal, in your environment, you probably want to use separate registries and non-prod and a production registry, but for demonstration purposes, I think this is okay. So let's go over to my Jenkins and I've got a deliberate failure. And I'll show you why there's a reason for that. And let's go down. Let's look at my, so I have a StackRox report. Let's look at my report. And it says image required, required image label alert, right? Request that the maintainer, add the required label to the image, so we're missing a label, okay? One of the things we can do is let's flip over, and let's look at Skopeo. Right? I'm going to do this just the easy way. So instead of looking at org.zdocker, opencontainers.image.authors. Okay, see here it says build signature? That was the typo, we didn't actually pass in. So if we go back to our repo, we didn't pass in the the build time argument, we just passed in the word. So let's fix that real quick. That's the Docker file. Let's go ahead and put our dollar sign in their. First day with the fingers you going to love it. And let's go ahead and commit that. Okay? So now that that's committed, we can go back to Jenkins, and we can actually do another build. And there's number 12. And as you can see, I've been playing with this for a little bit today. And while that's running, come on, we can go ahead and look at the Console output. Okay, so there's our image. And again, look at all the build arguments that we're passing into the build statement. So we're passing in the date and the date gets derived on the command line. With the build arguments, there's the base64 encoded of the Compose file. Here's the base64 encoding of the Kubernetes YAML. We do the build. And then let's go down to the bottom layer exists and successful. So here's where we can see no system policy violations profound marking stack regimes security plugin, build step as successful, okay? So we're actually able to do policy enforcement that that image exists, that that label sorry, exists in the image. And again, we can look at the security report and there's no policy violations and no vulnerabilities. So that's pretty good for security, right? We can now enforce and mandate use of certain labels within our images. And let's flip back over to Skopeo, and let's go ahead and look at it. So we're looking at the prod version again. And there's it is in my email address. And that validated that that was valid for that policy. So that's kind of cool. Now, let's take it a step further. What if, let's go ahead and take a look at all of the image, all the labels for a second, let me remove the dash org, make it pretty. Okay? So we have all of our image labels. Again, author's build, commit number, look at the commit number. It was built today build number 12. We saw that right? Delete, build 12. So that's kind of cool dynamic labels. Name, healthz, right? But what we're looking for is we're going to look at the org.zdockerketers label. So let's go look at the label real quick. Okay, well that doesn't really help us because it's encoded but let's base64 dash D, let's decode it. And I need to put the dash r in there 'cause it doesn't like, there we go. So there's my Kubernetes YAML. So why can't we simply kubectl apply dash f? Let's just apply it from standard end. So now we've actually used that label. From the image that we've queried with skopeo, from a remote registry to deploy locally to our Kubernetes cluster. So let's go ahead and look everything's up and running, perfect. So what does that look like, right? So luckily, I'm using traefik for Ingress 'cause I love it. And I've got an object in my Kubernetes YAML called flask.doctor.life. That's my Ingress object for traefik. I can go to flask.docker.life. And I can hit refresh. Obviously, I'm not a very good web designer 'cause the background image in the text. We can go ahead and refresh it a couple times we've got Redis storing a hit counter. We can see that our server name is roundrobing. Okay? That's kind of cool. So let's kind of recap a little bit about my demo environment. So my demo environment, I'm using DigitalOcean, Ubuntu 19.10 Vms. I'm using K3s instead of full Kubernetes either full Rancher, full Open Shift or Docker Enterprise. I think K3s has some really interesting advantages on the development side and it's kind of intended for IoT but it works really well and it deploys super easy. I'm using traefik for Ingress. I love traefik. I may or may not be a traefik ambassador. I'm using Jenkins for CI. And I'm using StackRox for image scanning and policy enforcement. One of the things to think about though, especially in terms of labels is none of this demo stack is required. You can be in any cloud, you can be in CentOs, you can be in any Kubernetes. You can even be in swarm, if you wanted to, or Docker compose. Any Ingress, any CI system, Jenkins, circle, GitLab, it doesn't matter. And pretty much any scanning. One of the things that I think is kind of nice about at least StackRox is that we do a lot more than just image scanning, right? With the policy enforcement things like that. I guess that's kind of a shameless plug. But again, any of this stack is completely replaceable, with any comparative product in that category. So I'd like to, again, point you guys to the andyc.infodc20, that's take you right to the GitHub repo. You can reach out to me at any of the socials @clemenko or andy@stackrox.com. And thank you for attending. I hope you learned something fun about labels. And hopefully you guys can standardize labels in your organization and really kind of take your images and the image provenance to a new level. Thanks for watching. (upbeat music) >> Narrator: Live from Las Vegas It's theCUBE. Covering AWS re:Invent 2019. Brought to you by Amazon Web Services and Intel along with it's ecosystem partners. >> Okay, welcome back everyone theCUBE's live coverage of AWS re:Invent 2019. This is theCUBE's 7th year covering Amazon re:Invent. It's their 8th year of the conference. I want to just shout out to Intel for their sponsorship for these two amazing sets. Without their support we wouldn't be able to bring our mission of great content to you. I'm John Furrier. Stu Miniman. We're here with the chief of AWS, the chief executive officer Andy Jassy. Tech athlete in and of himself three hour Keynotes. Welcome to theCUBE again, great to see you. >> Great to be here, thanks for having me guys. >> Congratulations on a great show a lot of great buzz. >> Andy: Thank you. >> A lot of good stuff. Your Keynote was phenomenal. You get right into it, you giddy up right into it as you say, three hours, thirty announcements. You guys do a lot, but what I liked, the new addition, the last year and this year is the band; house band. They're pretty good. >> Andy: They're good right? >> They hit the queen notes, so that keeps it balanced. So we're going to work on getting a band for theCUBE. >> Awesome. >> So if I have to ask you, what's your walk up song, what would it be? >> There's so many choices, it depends on what kind of mood I'm in. But, uh, maybe Times Like These by the Foo Fighters. >> John: Alright. >> These are unusual times right now. >> Foo Fighters playing at the Amazon Intersect Show. >> Yes they are. >> Good plug Andy. >> Headlining. >> Very clever >> Always getting a good plug in there. >> My very favorite band. Well congratulations on the Intersect you got a lot going on. Intersect is a music festival, I'll get to that in a second But, I think the big news for me is two things, obviously we had a one-on-one exclusive interview and you laid out, essentially what looks like was going to be your Keynote, and it was. Transformation- >> Andy: Thank you for the practice. (Laughter) >> John: I'm glad to practice, use me anytime. >> Yeah. >> And I like to appreciate the comments on Jedi on the record, that was great. But I think the transformation story's a very real one, but the NFL news you guys just announced, to me, was so much fun and relevant. You had the Commissioner of NFL on stage with you talking about a strategic partnership. That is as top down, aggressive goal as you could get to have Rodger Goodell fly to a tech conference to sit with you and then bring his team talk about the deal. >> Well, ya know, we've been partners with the NFL for a while with the Next Gen Stats that they use on all their telecasts and one of the things I really like about Roger is that he's very curious and very interested in technology and the first couple times I spoke with him he asked me so many questions about ways the NFL might be able to use the Cloud and digital transformation to transform their various experiences and he's always said if you have a creative idea or something you think that could change the world for us, just call me he said or text me or email me and I'll call you back within 24 hours. And so, we've spent the better part of the last year talking about a lot of really interesting, strategic ways that they can evolve their experience both for fans, as well as their players and the Player Health and Safety Initiative, it's so important in sports and particularly important with the NFL given the nature of the sport and they've always had a focus on it, but what you can do with computer vision and machine learning algorithms and then building a digital athlete which is really like a digital twin of each athlete so you understand, what does it look like when they're healthy and compare that when it looks like they may not be healthy and be able to simulate all kinds of different combinations of player hits and angles and different plays so that you could try to predict injuries and predict the right equipment you need before there's a problem can be really transformational so we're super excited about it. >> Did you guys come up with the idea or was it a collaboration between them? >> It was really a collaboration. I mean they, look, they are very focused on players safety and health and it's a big deal for their- you know, they have two main constituents the players and fans and they care deeply about the players and it's a-it's a hard problem in a sport like Football, I mean, you watch it. >> Yeah, and I got to say it does point out the use cases of what you guys are promoting heavily at the show here of the SageMaker Studio, which was a big part of your Keynote, where they have all this data. >> Andy: Right. >> And they're data hoarders, they hoard data but the manual process of going through the data was a killer problem. This is consistent with a lot of the enterprises that are out there, they have more data than they even know. So this seems to be a big part of the strategy. How do you get the customers to actually wake up to the fact that they got all this data and how do you tie that together? >> I think in almost every company they know they have a lot of data. And there are always pockets of people who want to do something with it. But, when you're going to make these really big leaps forward; these transformations, the things like Volkswagen is doing where they're reinventing their factories and their manufacturing process or the NFL where they're going to radically transform how they do players uh, health and safety. It starts top down and if the senior leader isn't convicted about wanting to take that leap forward and trying something different and organizing the data differently and organizing the team differently and using machine learning and getting help from us and building algorithms and building some muscle inside the company it just doesn't happen because it's not in the normal machinery of what most companies do. And so it always, almost always, starts top down. Sometimes it can be the Commissioner or CEO sometimes it can be the CIO but it has to be senior level conviction or it doesn't get off the ground. >> And the business model impact has to be real. For NFL, they know concussions, hurting their youth pipe-lining, this is a huge issue for them. This is their business model. >> They lose even more players to lower extremity injuries. And so just the notion of trying to be able to predict injuries and, you know, the impact it can have on rules and the impact it can have on the equipment they use, it's a huge game changer when they look at the next 10 to 20 years. >> Alright, love geeking out on the NFL but Andy, you know- >> No more NFL talk? >> Off camera how about we talk? >> Nobody talks about the Giants being 2 and 10. >> Stu: We're both Patriots fans here. >> People bring up the undefeated season. >> So Andy- >> Everybody's a Patriot's fan now. (Laughter) >> It's fascinating to watch uh, you and your three hour uh, Keynote, uh Werner in his you know, architectural discussion, really showed how AWS is really extending its reach, you know, it's not just a place. For a few years people have been talking about you know, Cloud is an operational model its not a destination or a location but, I felt it really was laid out is you talked about Breadth and Depth and Werner really talked about you know, Architectural differentiation. People talk about Cloud, but there are very-there are a lot of differences between the vision for where things are going. Help us understand why, I mean, Amazon's vision is still a bit different from what other people talk about where this whole Cloud expansion, journey, put ever what tag or label you want on it but you know, the control plane and the technology that you're building and where you see that going. >> Well I think that, we've talked about this a couple times we have two macro types of customers. We have those that really want to get at the low level building blocks and stitch them together creatively however they see fit to create whatever's in their-in their heads. And then we have the second segment of customers that say look, I'm willing to give up some of that flexibility in exchange for getting 80% of the way there much faster. In an abstraction that's different from those low level building blocks. And both segments of builders we want to serve and serve well and so we've built very significant offerings in both areas. I think when you look at microservices um, you know, some of it has to do with the fact that we have this very strongly held belief born out of several years of Amazon where you know, the first 7 or 8 years of Amazon's consumer business we basically jumbled together all of the parts of our technology in moving really quickly and when we wanted to move quickly where you had to impact multiple internal development teams it was so long because it was this big ball, this big monolithic piece. And we got religion about that in trying to move faster in the consumer business and having to tease those pieces apart. And it really was a lot of impetus behind conceiving AWS where it was these low level, very flexible building blocks that6 don't try and make all the decisions for customers they get to make them themselves. And some of the microservices that you saw Werner talking about just, you know, for instance, what we-what we did with Nitro or even what we did with Firecracker those are very much about us relentlessly working to continue to uh, tease apart the different components. And even things that look like low level building blocks over time, you build more and more features and all of the sudden you realize they have a lot of things that are combined together that you wished weren't that slow you down and so, Nitro was a completely re imagining of our Hypervisor and Virtualization layer to allow us, both to let customers have better performance but also to let us move faster and have a better security story for our customers. >> I got to ask you the question around transformation because I think that all points, all the data points, you got all the references, Goldman Sachs on stage at the Keynote, Cerner, I mean healthcare just is an amazing example because I mean, that's demonstrating real value there there's no excuse. I talked to someone who wouldn't be named last night, in and around the area said, the CIA has a cost bar like this a cost-a budget like this but the demand for mission based apps is going up exponentially, so there's need for the Cloud. And so, you see more and more of that. What is your top down, aggressive goals to fill that solution base because you're also a very transformational thinker; what is your-what is your aggressive top down goals for your organization because you're serving a market with trillions of dollars of spend that's shifting, that's on the table. >> Yeah. >> A lot of competition now sees it too, they're going to go after it. But at the end of the day you have customers that have a demand for things, apps. >> Andy: Yeah. >> And not a lot of budget increase at the same time. This is a huge dynamic. >> Yeah. >> John: What's your goals? >> You know I think that at a high level our top down aggressive goals are that we want every single customer who uses our platform to have an outstanding customer experience. And we want that outstanding customer experience in part is that their operational performance and their security are outstanding, but also that it allows them to build, uh, build projects and initiatives that change their customer experience and allow them to be a sustainable successful business over a long period of time. And then, we also really want to be the technology infrastructure platform under all the applications that people build. And we're realistic, we know that you know, the market segments we address with infrastructure, software, hardware, and data center services globally are trillions of dollars in the long term and it won't only be us, but we have that goal of wanting to serve every application and that requires not just the security operational premise but also a lot of functionality and a lot of capability. We have by far the most amount of capability out there and yet I would tell you, we have 3 to 5 years of items on our roadmap that customers want us to add. And that's just what we know today. >> And Andy, underneath the covers you've been going through some transformation. When we talked a couple of years ago, about how serverless is impacting things I've heard that that's actually, in many ways, glue behind the two pizza teams to work between organizations. Talk about how the internal transformations are happening. How that impacts your discussions with customers that are going through that transformation. >> Well, I mean, there's a lot of- a lot of the technology we build comes from things that we're doing ourselves you know? And that we're learning ourselves. It's kind of how we started thinking about microservices, serverless too, we saw the need, you know, we would have we would build all these functions that when some kind of object came into an object store we would spin up, compute, all those tasks would take like, 3 or 4 hundred milliseconds then we'd spin it back down and yet, we'd have to keep a cluster up in multiple availability zones because we needed that fault tolerance and it was- we just said this is wasteful and, that's part of how we came up with Lambda and you know, when we were thinking about Lambda people understandably said, well if we build Lambda and we build this serverless adventure in computing a lot of people were keeping clusters of instances aren't going to use them anymore it's going to lead to less absolute revenue for us. But we, we have learned this lesson over the last 20 years at Amazon which is, if it's something that's good for customers you're much better off cannibalizing yourself and doing the right thing for customers and being part of shaping something. And I think if you look at the history of technology you always build things and people say well, that's going to cannibalize this and people are going to spend less money, what really ends up happening is they spend less money per unit of compute but it allows them to do so much more that they ultimately, long term, end up being more significant customers. >> I mean, you are like beating the drum all the time. Customers, what they say, we encompass the roadmap, I got that you guys have that playbook down, that's been really successful for you. >> Andy: Yeah. >> Two years ago you told me machine learning was really important to you because your customers told you. What's the next traunch of importance for customers? What's on top of mind now, as you, look at- >> Andy: Yeah. >> This re:Invent kind of coming to a close, Replay's tonight, you had conversations, you're a tech athlete, you're running around, doing speeches, talking to customers. What's that next hill from if it's machine learning today- >> There's so much I mean, (weird background noise) >> It's not a soup question (Laughter) And I think we're still in the very early days of machine learning it's not like most companies have mastered it yet even though they're using it much more then they did in the past. But, you know, I think machine learning for sure I think the Edge for sure, I think that um, we're optimistic about Quantum Computing even though I think it'll be a few years before it's really broadly useful. We're very um, enthusiastic about robotics. I think the amount of functions that are going to be done by these- >> Yeah. >> robotic applications are much more expansive than people realize. It doesn't mean humans won't have jobs, they're just going to work on things that are more value added. We're believers in augmented virtual reality, we're big believers in what's going to happen with Voice. And I'm also uh, I think sometimes people get bored you know, I think you're even bored with machine learning already >> Not yet. >> People get bored with the things you've heard about but, I think just what we've done with the Chips you know, in terms of giving people 40% better price performance in the latest generation of X86 processors. It's pretty unbelievable in the difference in what people are going to be able to do. Or just look at big data I mean, big data, we haven't gotten through big data where people have totally solved it. The amount of data that companies want to store, process, analyze, is exponentially larger than it was a few years ago and it will, I think, exponentially increase again in the next few years. You need different tools and services. >> Well I think we're not bored with machine learning we're excited to get started because we have all this data from the video and you guys got SageMaker. >> Andy: Yeah. >> We call it the stairway to machine learning heaven. >> Andy: Yeah. >> You start with the data, move up, knock- >> You guys are very sophisticated with what you do with technology and machine learning and there's so much I mean, we're just kind of, again, in such early innings. And I think that, it was so- before SageMaker, it was so hard for everyday developers and data scientists to build models but the combination of SageMaker and what's happened with thousands of companies standardizing on it the last two years, plus now SageMaker studio, giant leap forward. >> Well, we hope to use the data to transform our experience with our audience. And we're on Amazon Cloud so we really appreciate that. >> Andy: Yeah. >> And appreciate your support- >> Andy: Yeah, of course. >> John: With Amazon and get that machine learning going a little faster for us, that would be better. >> If you have requests I'm interested, yeah. >> So Andy, you talked about that you've got the customers that are builders and the customers that need simplification. Traditionally when you get into the, you know, the heart of the majority of adoption of something you really need to simplify that environment. But when I think about the successful enterprise of the future, they need to be builders. how'l I normally would've said enterprise want to pay for solutions because they don't have the skill set but, if they're going to succeed in this new economy they need to go through that transformation >> Andy: Yeah. >> That you talk to, so, I mean, are we in just a total new era when we look back will this be different than some of these previous waves? >> It's a really good question Stu, and I don't think there's a simple answer to it. I think that a lot of enterprises in some ways, I think wish that they could just skip the low level building blocks and only operate at that higher level abstraction. That's why people were so excited by things like, SageMaker, or CodeGuru, or Kendra, or Contact Lens, these are all services that allow them to just send us data and then run it on our models and get back the answers. But I think one of the big trends that we see with enterprises is that they are taking more and more of their development in house and they are wanting to operate more and more like startups. I think that they admire what companies like AirBnB and Pintrest and Slack and Robinhood and a whole bunch of those companies, Stripe, have done and so when, you know, I think you go through these phases and eras where there are waves of success at different companies and then others want to follow that success and replicate it. And so, we see more and more enterprises saying we need to take back a lot of that development in house. And as they do that, and as they add more developers those developers in most cases like to deal with the building blocks. And they have a lot of ideas on how they can creatively stich them together. >> Yeah, on that point, I want to just quickly ask you on Amazon versus other Clouds because you made a comment to me in our interview about how hard it is to provide a service to other people. And it's hard to have a service that you're using yourself and turn that around and the most quoted line of my story was, the compression algorithm- there's no compression algorithm for experience. Which to me, is the diseconomies of scale for taking shortcuts. >> Andy: Yeah. And so I think this is a really interesting point, just add some color commentary because I think this is a fundamental difference between AWS and others because you guys have a trajectory over the years of serving, at scale, customers wherever they are, whatever they want to do, now you got microservices. >> Yeah. >> John: It's even more complex. That's hard. >> Yeah. >> John: Talk about that. >> I think there are a few elements to that notion of there's no compression algorithm for experience and I think the first thing to know about AWS which is different is, we just come from a different heritage and a different background. We ran a business for a long time that was our sole business that was a consumer retail business that was very low margin. And so, we had to operate at very large scale given how many people were using us but also, we had to run infrastructure services deep in the stack, compute storage and database, and reliable scalable data centers at very low cost and margins. And so, when you look at our business it actually, today, I mean its, its a higher margin business in our retail business, its a lower margin business in software companies but at real scale, it's a high volume, relatively low margin business. And the way that you have to operate to be successful with those businesses and the things you have to think about and that DNA come from the type of operators we have to be in our consumer retail business. And there's nobody else in our space that does that. So, you know, the way that we think about costs, the way we think about innovation in the data center, um, and I also think the way that we operate services and how long we've been operating services as a company its a very different mindset than operating package software. Then you look at when uh, you think about some of the uh, issues in very large scale Cloud, you can't learn some of those lessons until you get to different elbows of the curve and scale. And so what I was telling you is, its really different to run your own platform for your own users where you get to tell them exactly how its going to be done. But that's not the way the real world works. I mean, we have millions of external customers who use us from every imaginable country and location whenever they want, without any warning, for lots of different use cases, and they have lots of design patterns and we don't get to tell them what to do. And so operating a Cloud like that, at a scale that's several times larger than the next few providers combined is a very different endeavor and a very different operating rigor. >> Well you got to keep raising the bar you guys do a great job, really impressed again. Another tsunami of announcements. In fact, you had to spill the beans earlier with Quantum the day before the event. Tight schedule. I got to ask you about the musical festival because, I think this is a very cool innovation. It's the inaugural Intersect conference. >> Yes. >> John: Which is not part of Replay, >> Yes. >> John: Which is the concert tonight. Its a whole new thing, big music act, you're a big music buff, your daughter's an artist. Why did you do this? What's the purpose? What's your goal? >> Yeah, it's an experiment. I think that what's happened is that re:Invent has gotten so big, we have 65 thousand people here, that to do the party, which we do every year, its like a 35-40 thousand person concert now. Which means you have to have a location that has multiple stages and, you know, we thought about it last year and when we were watching it and we said, we're kind of throwing, like, a 4 hour music festival right now. There's multiple stages, and its quite expensive to set up that set for a party and we said well, maybe we don't have to spend all that money for 4 hours and then rip it apart because actually the rent to keep those locations for another two days is much smaller than the cost of actually building multiple stages and so we thought we would try it this year. We're very passionate about music as a business and I think we-I think our customers feel like we've thrown a pretty good music party the last few years and we thought we would try it at a larger scale as an experiment. And if you look at the economics- >> At the headliners real quick. >> The Foo Fighters are headlining on Saturday night, Anderson Paak and the Free Nationals, Brandi Carlile, Shawn Mullins, um, Willy Porter, its a good set. Friday night its Beck and Kacey Musgraves so it's a really great set of um, about thirty artists and we're hopeful that if we can build a great experience that people will want to attend that we can do it at scale and it might be something that both pays for itself and maybe, helps pay for re:Invent too overtime and you know, I think that we're also thinking about it as not just a music concert and festival the reason we named it Intersect is that we want an intersection of music genres and people and ethnicities and age groups and art and technology all there together and this will be the first year we try it, its an experiment and we're really excited about it. >> Well I'm gone, congratulations on all your success and I want to thank you we've been 7 years here at re:Invent we've been documenting the history. You got two sets now, one set upstairs. So appreciate you. >> theCUBE is part of re:Invent, you know, you guys really are apart of the event and we really appreciate your coming here and I know people appreciate the content you create as well. >> And we just launched CUBE365 on Amazon Marketplace built on AWS so thanks for letting us- >> Very cool >> John: Build on the platform. appreciate it. >> Thanks for having me guys, I appreciate it. >> Andy Jassy the CEO of AWS here inside theCUBE, it's our 7th year covering and documenting the thunderous innovation that Amazon's doing they're really doing amazing work building out the new technologies here in the Cloud computing world. I'm John Furrier, Stu Miniman, be right back with more after this short break. (Outro music)

>> Narrator: From around the globe, its theCUBE with digital coverage of Mirantis Launchpad 2020 brought to you by Mirantis . >> Welcome back, I'm Stu Miniman and this is theCUBE coverage of Mirantis Launchpad 2020, really looking at how Mirantis Docker Enterprise are coming together, changes happening in the field and to help us dig into that customer and product discussion. Happy to welcome to the program, Shaun O'Meara. He is the global Field Chief Technology Officer with Mirantis coming to us from Germany. Shaun thanks so much for joining us. >> Thanks for having me. >> All right, so let's start with the customers. I always love talking to the Field CTOs you're out there. You're talking strategy, you're getting into some of the architecture, lots of customers, probably still, trying to figure out that whole cloud native containerization, Kubernetes and modernization piece. So when you talk to your customers, what are some of their biggest challenges they're facing and those main discussion points that bring them to talk to Mirantis. >> Very good question, I think you've just laid it out yourself in many ways. It's complexity our customers are dealing with more and more change, more and more options, and it's driving complexity in their environments, and they're looking for ways to deal with that complexity and to allow more and more access and reduce barriers to getting applications and getting tools to market. And if we look at it and we look at the way the world is going today, we have multiple cloud environments. We have every single developer on the face of the planet wants to use different tools, different ways to build applications that don't want to be dictated to. Now, if you turn that around and you look at what operators have to deal with, it's just more and more complexity. Ultimately, that complexity is growing and we're looking for ways to make it easier, simpler, and subsequently increase the speed of getting applications to market for our customers. >> Yeah, You know we talk a bit about some of the macro challenges that customers have. What talk you kind of teed up a little bit, the operators and the developers. I remember a couple of years ago, I had the opportunity to interview Solomon Hykes and of course the founder from Docker. And there was that talk of well, containerization, it's this wonderful thing for developers. And he's like, hold on Stu we actually, really started looking at this or the operators we want that unit of operation to be closer to the application. So it should be simpler, it used to be okay, how many different applications do they have on a server or VMs all over the place and containers I could really have this microservice or this application is a container. So there is some operational simplicity there, but how is that dynamic inside the customer? Of course, we've seen the growth and the importance and the embracing of developers, but there's still the DevOps adoption and we'd love to be able to say one of these years that, oh, we don't have silos anymore and everybody works together and we're all on the same page. >> Oh yeah, the reality is in the big enterprise companies and the companies that are building applications for market today, your big financial services companies, there's still a very clear separation between operators and developers. A lot of that is driven by legislation, a lot of that's driven by just old fashioned thinking in many ways, but developers are starting to have a lot more influence on what applications are used and the infrastructure. We just see with the rise of AWS, all the contenders to AWS in the form of Azure and Google. Developers are starting to have a lot more power over that decision, but they're still highly dependent on operators to deliver those platforms that they use, and to make sure that the platforms that they're running their applications on top of, are stable and run well in production situations. There's a big difference between building something on your laptop in one or two instances, and then trying to push it out to a massive scalable cloud platform. And I think those are the areas that we can have a lot of impact, and that's where we are building our tools for at the moment. >> Well, great. Let's dig into those tools a little bit, as I said, at the beginning, we're familiar, Mirantis had the Mirantis Cloud Platform for a few years, big embrace of Kubernetes and then Docker Enterprise, it comes into the mix. So help me understand a little bit, what is kind of the solution set to portfolio? How does Mirantis present that today? >> Yeah, well, it's been an interesting eight, nine months now of the whole process since with the Docker Enterprise business, a couple of key areas. So if we look at what MCP was, and MCP still here today apparently, it focuses on delivering all the components necessary to have an effective cloud platform. So lifecycle management, lifecycle management of all those underlying components, which in their own right is extremely complex set of software. What we focused on there was understanding in enterprise infrastructure, the right way to do that. As soon as you bring in from the Docker Enterprise business is that they have a scalable, large, well deployed container platform. And many thousands of users across the world in all sorts of different scales and production systems. We are merging that knowledge that we have around infrastructure, infrastructure management, and simplifying access to infrastructure with this platform that provides for all that application, hosting provides for all the control of containers, plus all the security components around the container lifecycle. And delivering in such a way that you can choose your underlying preference. So we're no longer looking to lock you in to say, you have to go on-prem, you have to go into cloud. We're saying, we'll give you the choice, but we'll also give you a standardized platform for your developers across all of those potential infrastructure environments, so I'll use it again, public cloud, private cloud, bare metal on-premise, or your options like the VMware of this world. By consolidating all of that into one platform, we're giving you that as a developer, the ability to write applications that'll run anyway and sorry, go on. >> No, please finish up, I've just got to follow, yeah. >> But that simplicity drives and like that's simple choice across all those platforms essentially drives speed. It takes away the typical barriers that we're seeing in our customers. We hear every reason, we love Docker Enterprise because it solves the problem of getting containers, it solves a problem of securing containers, but it takes four teams to deploy it. Same for the MCP, we're saying is we cannot do that in a day and provide other self sets. So you can deploy a brand new container cloud in minutes rather than days or weeks. And that's one of the biggest changes that we're bringing to the product. >> Yeah, so absolutely what we hear from customers that agility, that speed that you talk about is the imperative, especially talk about 2020, everybody has had to readjust often accelerating some of the plans they had to meet the realities of what we have today. What I want to understand is when you talk about that single platform being able to be in any environment, oftentimes there's a misnomer that it's about portability. Most customers we talked to, they're not moving things lots of places. They do want that operational consistency, wherever they go. At the same time, you mentioned the rise of AWS and the hyperscalers often when they're now going to have to manage multiple clusters, it's not that I choose one Kubernetes and I use it anywhere, but I might be using AKS Azure had an early version of it, of course, Amazon has a couple of options now for enterprises. So help us understand how the Mirantis solutions, fit with the clouds, leverage cloud services and if I have multiple clusters, you even mentioned VMware, I might have a VMware cluster, have something from Mirantis, have something from one of the hyperscalers. Is that what you're seeing from your customers today? And how do they and how do they want to manage that going forward? Because we understand this is still a maturing space. >> So I mean, that's exactly the point. What we're seeing from our customers is that they have policies to go cloud first. They still have a lot of infrastructure on-premise. The question is which cloud, which cloud suits their needs in which region. Now, all of a sudden you've got a risk management policy from an organization that says, well, I have to go to Azure and I have to go to AWS. That's using them as examples. The deployment and management of those two platforms is completely different. Just the learning curve for a developer who wants to focus on writing code, to build a platform on top of AWS is barely extensive. Yes, it's easy to get started, but if you really want to deal with the fine print of how to run some in production, it's not that simple. There are potentially a thousand different buttons, you can click when deploying an instance on Amazon. So what we're saying is, instead of you having to deal with that we're going to abstract that pain from you. We're going to say we'll deploy Docker Enterprise on top of Amazon, on top of Google, on top of Azure, on top of your VMware cluster, give you a consistent interface to that, consistent set of tools across all those platforms, still consuming those platforms as you would, but solve all those dependency problems. To set up a cube cluster on top of Amazon, I'm not talking about an AKS or something like that right now, but the sort of cube cluster means I have to set up load balances, I have to set up networks, I have to set up monitors, I have to set up the instances, I have to deploy Kubernetes, and then I'm only getting started. I still haven't integrated that to my corporate identity management. We're saying we'll bring all that to give them, we are bringing all that together in the form of Docker Enterprise container cloud. >> Yeah, definitely as you said, we need more simplicity here. The promise of cloud it's supposed to be simplicity and now of course we have the paradox of choice when it comes there. >> Yeah. >> One of the other things we've seen, rapid change a lot the last year or so is many of the offerings out there are now managed services. So as you said, I don't want to have to build all of those pieces. I want to just be able to go to somebody. What are you hearing from your customers? How does manage service fit into what Mirantis is doing? >> Great, well, what we're hearing from customers is they want the pain to go away. The answer to that could be delivered through software that's really easy to use and doesn't set up any barriers and gets them started fast, which is where we focus from a product perspective. Mirantis also has a strong manage services on so we've been doing manage services for some of the biggest enterprises in the world for MCP products for many years. We've brought those teams forward and we're now offering those same managed services on top of all of our platforms. So Docker Enterprise container cloud, we'll deploy it for you, we'll manage it for you. We'll handle all the dependencies around getting container cloud up and running within your organization, and then offer you that hands on service. So when you build clusters, when you want clusters that are much more longer lived, we can handle all the extra detail that goes around those. Short term, so if you just want quick clusters for your developers, easy access, you still have that as part of the service. So we're focusing on how fast can we get you started? How fast can you get up the cushions to market, not put any infrastructure barriers on the way, or where there are traditional infrastructure barriers find ways around us. That still acceptable to those enterprise operators who still have list as long as my arm, probably twice as long as my arm of fine print that they have to comply with for everything under the sun, the regulators, et cetera. >> Yeah, Shaun since you are based in Europe, I'm wondering if you can give us a little bit of the perspective on cloud adoption there, here in North America, discussion point has been for many years, just that massive movement to public cloud, of course governance the key issue in Europe and above also kind of the COVID impact, anecdotally there's lots of discussions of acceleration of public cloud. So what's the reality on the ground? How do your enterprise customers look at public cloud? How fast or slow are they moving and what is the 2020 impact? >> So interesting if you'd asked me this question, six months ago, seven months ago, pre COVID, I would have said public cloud is growing. People are still building some small private clouds for very unique use cases, looking at where our customers are now, all of a sudden there's a risk balance. So they're driving into public cloud, but they want those public clouds to be with European companies and European operators, or at least to have some level of security. You know, recently the European community canceled the privacy shield legislation that was in place between the US and Europe, which meant all of a sudden, a lot of companies in Europe had to look for other places to store their data, or had to deal with different rules around storing the data that they may have but in the US previously. What we're seeing customers saying is we have to go multicloud. The drive is no longer we can accept one vendor risk. We want to remove that risk, we will still have equipment on-premise. So on-prem equipment is still important to us, but as a backup to the public cloud, and as a way to secure our data and the mechanisms that we own and can touch and control. That's the operator's view. If we talk to developers, people writing applications, if they are not forced to, they will go public cloud almost every time. It's just easier for them. And that's really what we're, that's really the challenge that we're also trying to focus on here. >> Yeah, I'm curious, are there any European cloud providers that are rising to the top the big three have such a large megaphone that they kind of drown out a lot of discussion and understand that there's pockets and many local suppliers, and of course thousands of kind of cloud service providers out there, but any ones that are good partners of Mirantis or ones that you're hearing. >> There are a couple. >> Yeah. >> Sorry, there are a couple, I dunno if I can mention them here, but there's some great ones providing very unique businesses, places like the Netherlands, very unique, very focused business where they're taking advantage of specific laws within, well, the Netherlands and Germany, there's another company that we're working very closely with that feels that they can do a much more affordable, much more hands on service or cloud. So their cloud experience provide everything developers want, but at the same time handle those operator requirements and those enterprise requirements within Germany. So focusing on the GDPR laws, focusing on German technology laws, which are very complex, very much focused on privacy. And there are a few unique companies like that across Europe, I know of one in Italy, there's a company that focuses on providing cloud services to the EU government themselves, who we've worked with in the past. So yeah, but as you say, it's the big three, they're growing, they're dealing with those challenges. We see them as resources, we see them as partners to what we're trying to achieve. We certainly not trying to compete with them at that level. >> Absolutely, all right, Shaun final question I have for you, tell us what your customers see as the real differentiation, what draws them to Mirantis and what we should expect to see over the coming months? >> So I think choice is a key differentiator. We're offering choice, we're not trying to tell you you can only use one cloud platform or one cloud provider. And that's extremely important as one of the key differentiators. I've mentioned this many times, simplicity, driving simplicity at all levels, from the operator through to the developer, to the consumer of the cloud, let's make it easy. Let's truly reduce the friction to getting started, all right that's one of the really key focus areas for us and that's something we talk about all the time in every meeting and we question ourselves constantly is, does this make it easier? And then security is a major component for us. We really focus on security as part of our tool sets, providing that standardized platform and that standardized security across all of these environments, and ultimately reducing the complexity. >> Shaun O'Meara, thank you so much. Great to hear that the real customer interaction and what they're dealing with today. >> Sure, thank you very much. >> Be sure to check out the tracks for developers, for infrastructure as well as all the rest theCUBE interviews on the Mirantis Launchpad site of course powered by CUBE365. I'm Stu Miniman and thank you for watching theCUBE. (upbeat music)

(upbeat techno music) >> Hello everyone, I'm John Furrier, the co-founder and co-CEO of SiliconANGLE Media. I'm often asked a lot about our business and what our business model is. In the wake of media these days, media businesses are not doing well. Some of them are doing better than others. And today a whole new model of media is changing. I get the question all the time from people, what is theCUBE, what is SiliconANGLE? What is Wikibon? You guys have all the software. I want to take some time to explain what the SiliconANGLE Media business is about. And I'm often asked many times, how does it all work together? So I want to take some time to review that. And I've prepared some slides to take us through this, but I also wanted to show you how it works. Some of the technology that we've built, and also some of the things that we offer to our clients and advertisers or marketers, although we don't have any advertising per say. We do have an interesting business model. I want to share that with you. So let's take a look at some of the slides. SiliconANGLE Media is a new model for media, digital TV, journalism, and research. We provide a unique formula that all works together, but yet individually. We have three major parts to our business. We have theCUBE, which is our digital TV interview show where we go out to events and extract the signal from the noise. We have SiliconAngle.com. News and event coverage. This is our technology journalism. This is the site that really focuses on you know editorial, high quality news and analysis, kind of what's happening, instructing the signal of what's going on in the industry. It really is a short cut to the truth of what's happening. And then Wikibon is or consulting and research team that focuses on the key areas that we program into. And all three of them work together. Think of SiliconANGLE Media as three legs of the stool. SiliconANGLE.com is the journalism, which engages in with the industry. Getting all the top stories, telling the most important stories in Enterprise technology, working with public relations professionals and people in the industry to source the best interviews and get the best content, objective and truthful and again, pure editorial. This site has no advertising on it, and it's completely supported by the sponsorship and business model from theCUBE and our Wikibon research team. TheCUBE is a interesting dynamic because we've been for nine years going to events and going to the front lines where the communities are. And theCUBE has become a community brand, a community content source. But we co-create content in the front lines during an event with the community to tell the best stories. Not only news and editorial, but really what's going on in the people's lives and what's happening in technology. And finally Wikibon is where all the action happens. That's our big brains in our organization that dig in and do the analysis from (the data) that. And then this really kind of gets rendered itself into a couple different sites. SiliconANGLE.com and theCUBE.net. And our coverage areas are really focused in and around  key areas and digital. Our content revolves around the core content markets and communities we cover. Infrastructure, Cloud, AI, big data software, blockchain and crypto. And the intersection of these markets is security data and IOT, but this is really the digital landscape. There is no circulation in digital. There is not real boundaries to content, but for us we focus and use our technology to understand where these lines are in the industry, and we program to them. And we program in a deep targeted way that creates network effects in each community. So if you look at this, we interview the most important people we can and the smartest people we can. And that creates a beautiful network effect. And we create community by streaming live event coverage for major events. That's what we're most well known for is theCUBE. 110 events last year. Our ninth year covering all the top enterprise, all the top Cloud events, all the top big data events, and soon all the top block chain events. Our formula drives activation, but because the content is so targeted around communities, it really creates a targeted network effect because everyone we interview becomes a Cube alumni, and everyone that consumes the content becomes part of our community. So content and community drives engagement. Let's take a look at what this means for our customers. Our audiences go to siliconANGLE.com, where on this site all these stories are led by Rob Hof, editor in chief. And this content here is the best of the best. Everything is editorially vetted. Nothing is paid for in this site. It's completely editorial. We have multiple sections. We have research. A section dedicated to our research analysis. This is where we do deep dives and provide special reporting around all the top important areas. Cube coverage is the section of SiliconANGLE that puts all theCUBE event coverage in one spot. If you want to see the stories that our writers cover from theCUBE, which is separate from theCUBE event itself, but our live writers look at the activity on SiliconANGLE, CUBE and cover it as best they can. And if an important story is happening at a CUBE event, it'll be on the front page of SiliconANGLE, and the editors will pick the best, most important stories here at SiliconANGLE. TheCUBE.net is our site where we have all theCUBE content, a featured section here. There's a live event going on. The content will be played right here in the screen. If there's multiple events going on, then the right hand side they'll be there. Upcoming events are here. You can view more, and of course if you missed an event, you can always look for more here and browse the site for all the events that have happened. And of course if you want to search, we have an alumni database to search all the most important people in tech. If you want to search all the people from say, you know Google, you can browse here and find people to connect with. And this is the beginning of some of our technology that we've built, that you're only see more of. Connecting people around content, people around community, and people around topics and interests. And of course if you want to meet our hosts, they're all listed on there too. TheCUBE.net site is software written by our software engineering teams that's built for fully Cloud horizontally scalable systems, asynchronous technologies, APIs, and a lot more will be coming. You'll see social network, you'll see video clips and other variety of things. Some of the most important technology that we have at SiliconANGLE that no one knows about with theCUBE is we have a variety of technologies. You look at this site here, we have a full dashboard of things that we've built for ourselves using Amazon web services. We built our own content Cloud for our business. We can do search, analyze, visualization. We can detect humans from bots, text analytics, entity extractions, machine learning, leader boards, CUBE leader boards, LinkedIn profiles, who, what, and where, trend analysis, influence or overlaps, really in-depth analysis where I can say give me all the AWS reinvent community with VM World, as an example. I'll type it in here, VM World. Type my email address. And our influence overlap engine will go out and determine who are the influences that overlap between those two communities. I can do that for many more communities. This helps us figure out what's going on. And of course we built our own custom listening engine that listens to every tweet of every single person in the Twitter fire hose by community. And we have hundreds of hundreds of communities. And to give you a taste of how much this is, you look at the stats, 62 million total people over 700 million signals, and we're pulling in 292 signals per minute into our ingestion, into or community. That's driving a lot of our engagement, and again, going back to here we can see we can do full search, all kinds of cool things, trending hashtags. This gives our writers and our community more insight into what's happening so we can bring the most important content to people and connect people to the content. Some of our digital services include video clip, a service that we built with our team, that allows us to search and clip videos. So let's take an example. Here's an interview I did at Google Cloud, and here's our Video Clipper service. Here's the YouTube video and a full transcript. I can put it into different languages. Looks like we have a Korean interest here. I can turn this into Korean or English or Chinese. Or I can say, highlight the summary for me. Every CUBE video gets a full transcript. It says, takes advantage of it here. I can come down here. Every piece of the transcript is linked to the video. So if I want to highlight something, like this, I can highlight this. And here's an example of a clip. Thank you very much. I can share this on Twitter instantly. Or Facebook or LinkedIn. So we can, we index every single video from, like it's uploaded to YouTube, into a full transcript. And that transcript is available for that. We can run machine learning and AI techniques, do any of the extractions, transcripts, and we're starting to do that so we can drive more community around the video. Let's go look at my Twitter feed and show where that clip came up. So the ability to clip videos is super important. There's the video, Google spanner in production. So this video was clipped from a YouTube video that has a unique URL, cube365.net that now we can measure that metadata and offer that nugget of that video and share that to the world. This is unique in that you can take pieces of the video and share them throughout the social web, allows for videos to be merchandised. So a CUBE interview that could be 15 or 20 minutes can now be cut down into multiple nuggets. This is great value, and you can roll these clips up from different videos into a highlight reel by the click of the button. We've automated the hard part of using video so that we can bring video onto the marketing mix for our clients and bring video in the center of the user experience for content consumption. Okay, so here's a real life example of how the Clipper tool can work, as these clips can be merchandised down into gold nuggets or pieced down by part of a bigger video. Certainly it changes the nature of video, whether it's in the marketing mix for a marketer or brand or for us as content developers serving audiences. If you have a piece of content that's in video form, it's a data asset. That data asset then can be used. Here's an example. On Twitter we were having an argument, as usual on Twitter, about who's number one in Cloud. My friend, Bob Evans, said Microsoft is number one in Cloud. And that's his position, like him, but I'm not, you know that's him. We disagree, I said Amazon. An ongoing Twitter battle ensued. He called me out, I called him out. We're all friends, but it's all good fun. And you can see here, what's happening. Hey John, if you're going to go down that type of path, you know how about taking some koolaid injection from the Silicon Valley world. Right, and so I come back. And he goes back again. So finally what's interesting is that Dave Vellante, co-host of theCUBE and my business partner, realized and remembered that he was with me during theCUBE in Washington DC and had a clip, and he sent it here. Furrier, the pressure to catch up with the Amazon experience. And here is an example of why these clips are so powerful. During this conversation that could have gone anywhere, the content needed information. And Dave Vellante then injected content from a video clip of a long interview, and that was a 15 minute interview. And a short sound byte, here it is. >> You say you're doing Cloud, but as they teach you in business school, there's dis-economies of scale trying to match a trajectory of an experienced Cloud vendor. You just mentioned that. Let's explore that. If I want to match Amazon's years of experience, I can say I'm up there with all these services, but you can't just match that over night. It's just dis-economy of scale. Reverse proxies, technical debt, all kinds of stuff. So Microsoft, although looking good on paper, is under serious pressure, and those dis-economy scales creates more risk. That more risk is more down time. We just saw 11 hours of down time on Microsoft Azure than Europe, 11 hours. 11 hours, it's massive, it's not like oh, something just happened. >> Hey, there it is, a clip that was short, part of a longer video. You can always watch it here, that we cut up and created. It instantly changed the nature of the conversation. That's a great example of other things. Let me show you some other tools here, with Video Clipper. That's one example. Certainly we have the notion of creating clip lists. So here's a highlight reel that I put together of Pat Gelsinger's best highlights. I took three, five, four clips and I made it into one beautiful asset. That's Andy Jassy's keynote from VM World. >> Today I'm excited to announce the availability of our, let's talk about that one. We've received hundreds of priorities. >> This is an example. I took a keynote and broke it down into a highlight reel there. There's other clip lists, other CUBE videos, got great stuff, here's the highlights from VM World 2017 that was put together. Look at all those clips. These are different clips. You check a box and you said clip list, creates a highlight reel. You can do this for things like sales enablement. A sales rep could put some clips together and send it to a prospect via email and say here's a minute and a half of our smartest person talking about x. See ya in later for a meeting. It could be used for content to support an article. It could be used to support an argument. It could be used to support a positive thing. This is content for good. This is what we do, and of course, this is all available to our team and also our customers. The best part of all, if I want to find out what's going on with block chain, I can just type into the search engine. We solved the video search problem. I can click on a link and find all I want to do about block chain. Like I say, well, just give me all the clips that have block chain in it. Or give me when there's a block chain mentioned in all the transcripts. So anytime the word block chain is mentioned in any of our videos, we can surface that quickly. 220 clips, I can type in backup. If you're interested in backup and recovery, you can do that. Multi Cloud. Making videos more productive, integral part of the marketing mix is what the purpose of this is. And this is all part of comprehensive back end technology that we're using for our system. So SiliconANGLE Media is not just three properties. It's a coverage area that has technology behind it that you can look at and say, we cover Cloud, we go to the top events in Cloud, we go to the top events in Infrastructure, the top events in AI and big data, and the top events in each of these markets. And we share as much content as possible with theCUBE, SiliconANGLE, and Wikibon. The fastest, most relevant content and engage the community, and we collaborate with them. It's a co-creation business model that has monetization and money making around sponsorships and co-creation. And we make money by monetizing our digital services via our content Cloud, Video Clipper, and data services that help marketers with the co-creation and help them find community, grow community, and create a content market with community. Content plus community equals engagement. Those are the things that are mattering right now. And all of this is happening off someone's website, in the wild, organic discovery. This is the new marketing model that we're taking advantage of, creating a network effect with great content. That's how it works. And of course, we're excited to continue to push the envelope and grow. If you have any questions, I'm happy to talk at any time. You can reach out to me, Dave Vellante, Stu Miniman, Greg Ontario, and any of our team. Kent Libbey, Jeff Rick, and our entire sales organization. Of course, Rob Hof, editor in chief. Peter Burris at Wikibon, and Jeff Rick at theCUBE. Thanks for watching. If you have any more questions, happy to do this next time. We'll give you an update on what's going on with or crypto currency community that we're doing. Thanks for watching. (techno music)

>> Announcer: Live from Silicon Valley it's theCUBE! Covering Mobile World Congress 2017. Brought to you by Intel. >> Okay, welcome back everyone. We're here live in Palo Alto for special Mobile World Congress 2017 coverage. Mobile World Congress is happening in Barcelona, Spain and we are covering it here in Palo Alto and covering all the action as day two of Mobile World Congress winds down. We have reporters, analysts in the field in Barcelona calling in, we have Peter Jarich coming up soon, a call in. We've had Scott Raynovich, analyst, called in earlier. We have reports: go to SiliconANGLE.com for all the action. Go to Cube365.net/MWC17, that is our new Cube365 software, a digital hub to aggregate all the top stories, all the signal from the noise at Mobile World Congress and that site is sponsored by Intel. I want to thank Intel for allowing us to do 30 great interviews here in studio as well as a variety of great content that we're getting in from phone-ins and friends on the ground in Barcelona to get you all the top stories, and of course we'll bring you commentary and analysis here inside theCUBE. I had a chance to talk to Intel at 1:30 this morning, in California time, early morning Tuesday time here, Tuesday time in Barcelona. Had a chance to talk with Sandra Rivera, who's the Corporate Vice President/General Manager of Intel's Network Platforms Group. She is in charge of the Intel Technology Group that brings the end-to-end transformation. Really getting 5G ready, part of the Intel brain trust and the leader and really taking the world by storm. 5G obviously the top story and underneath the hood of 5G is the network transformation. I had a chance to ask some very pointed questions, like, "Is 5G ready for prime time?" and, "What's it going to take to change the game "to bring a new business model to power "all the new use cases like autonomous vehicles, "smart cities, a new kind of media and entertainment "landscape as well as smart homes "and smart businesses?" So, let's hear what Sandra had to say, and here's my interview from this morning in Barcelona." >> Sandra: Well, I would certainly say it's revolution not evolution. If you look at all the previous generations of radio technology, 2G, 3G, 4G, it was largely driven by connecting people to other people, and of course the voice era with the 2G and 3G, came the app revolution, and us connecting with our loved ones over social media and all of the new capabilities that we found on the Internet. 4G then became about more capacity and coverage and faster upload and download speeds. With all of the, again, social media and video and media processing. But 5G is fundamentally different because it really brings together the computing and communications paradigm. It is truly that convergence of both computing and communication, and so, in addition to the billions of people that we've been connecting and all the other generations of radio technology, we are now connecting tens of billions of things in that era of 5G. And a lot of what we're seeing here on the ground is just some of those use cases are starting to merge in terms of once you really converge computing and communications, what is possible? What is possible to do? >> John: The big conversation that we've been having yesterday on theCUBE was the confluence between consumer technology and enterprise technology from a business model standpoint. We hear the word "digital transformation," that's the business model for pretty much the global business landscape, but really there's a lot of stuff going on under the hood around, you guys are calling, network transformation. Your CEO was talking on Fortune before the show started about this end-to-end architecture. >> Sandra: Yes, so when we talk about end-to-end, we do talk about every every point of either accessing or delivering information at the end either between people or between things. So it's from the jump-on point, if you will, on the network and the access layer and so of course it's all the new radio technologies up to the edge of a network where a lot of the decision points and the data analytics live and exist, up to the core of the network, which again, is the workhorse of where things are routed and where traffic is steered and what is the different types of traffic that you're trying to get from the source to the endpoint, and then of course back into the data center in the cloud, which is the place where most of the content is either originated or stored or served up. So when we talk about end-to-end, we do talk about every point in that continuum, and the need to have programmable, intelligent computing and communications capability which is very very different from what we've had historically from a network infrastructure perspective. So network transformation is all about embracing server-based technologies and the volume economics benefits that that brings for its relation technology and the fact that you can pool assets and use 'em across many different users and use cases, and of course cloud as both a technology and a business model and the idea that you can lease an asset and afford to lease almost unlimited compute capability, and then release it when you're done. So that end-to-end view and that transformation of the underlying infrastructure is really what we talk about when we talk about network transformation and because 5G requires that programmable computing capability all across that continuum, and in particular being closer and closer to those endpoints, whether they're the autonomous car, or they're drones, or robots, or of course the things that we're quite familiar with in terms of tablets and laptops and smartphones, that is really what we're now enabling under that umbrella of network transformation and 5G is accelerating. >> John: And for the folks watching and listening, we had a great interview with Lynn Comp, who went and did a drill down on NFE and some of those cool tech behind that. On the business model, kind of the landscape question, you mentioned drones, certainly hot. People can look at drones, they see the autonomous vehicles. This is an environment where these new applications and use cases are emerging. So there always seems to be the challenge, and we had an expert discussion this morning in theCUBE here in Palo Alto, around the trade-off between bandwidth and true mobility, and sometimes there is some trade-offs. And not one technology or partner will win it, and you guys are a big part of that. What is your view and Intel's view on the kinds of robust, diverse technologies that are needed to balance the many use cases, and at the same time, create an open ecosystem around fostering this new future growth, which seems to be a big wave we haven't seen since the iPhone in 2007. This is a really game changer. How do you guys view this multitude of technologies and diverse ecosystem and how do you guy foster that? >> Sandra: As Intel, we are a technology innovator and a technology leader and of course that clock never stands still, right? So you need to innovate (laughs) on the technology front and bring out new capabilities, and in particular as that computing and communications world come together, we know that we need to integrate more of the network and wireless IP into the standard roadmap of processors and capabilities that we bring to the market, both in hardware and software ingredients. But as we do that, we are trying to protect the software investment that the developers make in bringing new and emerging applications to market. So while we have, of course, huge CPU assets within Intel, we also have SCGA assets for use cases that would involve changing algorithms, whether they're security algorithms that are deployed differently in different parts of the world, different countries, or of course artificial intelligence, which is again an emerging field with new algorithms and new computational requirements, or on the radio side where the 5G wireless standards are going to be taking route and solidifying over the next several years and continue to evolve. You want to have that programmability so the SCGA assets come into play. And then we leverage that even further with some of the ASIC competency that we have, where you really do work in a hardened piece of silicon, on the ability to run very very fast calculations, many many times over, and to do it in as efficient possible way, both from a cost and count perspective. But all of that underlying hardware and silicon architecture choice really needs to be served up to a broad ecosystem through a software framework that is consistent and undeterministic in where you have a very robust toolchain which is really what Intel invests in. So we invest in robust and comprehensive software tools and frameworks so that we can tap into the very broadest application developer ecosystem that exists in the world. And that's how we see the capabilities that we bring to market tapping into our technology innovation in silicon and software ingredients, but then tapping into, again, something that we believe deeply in, which is a broad ecosystem, and the more market participation you have, the faster that innovation curve that you can drive. >> John: "Rising tide floats all boats," I love that saying, I think that seems to be the case here. Sandra, I want to get your thoughts on the business model on telcos and the industry. People know Mobile World Congress is the big show, but it's also where everyone who's anyone in the business goes, it's a lot of business conversations. I'm sure you're backed up between meeting and meeting after meeting because you got a lot of customers there. Take us through some of the hallway conversations you're having or specific business conversations that you're meeting with customers. What's the buzz in the hallways and what specific conversations are you having with the customers around commercializing, not just accelerating, but commercializing the business models that are going to emerge from these new use cases? >> Sandra: Yeah, well you know actually that's a great question because I've been coming to Mobile Congress for many many years and a lot of the network transformation discussions, and a lot of the discussions even around NFE and FEN in years past, have been rooted in the desire to try to achieve the lower cost point, a total cost of operation that was lower, when you move from fixed-function, purpose-filled, can't reprogram, reprovision the hardware to do anything other than what it was originally designed to do, even though the asset utilization on that investment was very low, 20% maybe 30% at best. So it was this desire to move to, again, volume economics and server-based technology and the benefits of virtualization and pooling. So it started in a cost-optimization type of conversation, but the map moved in the last year, certainly with 5G, into much more, "Well how do we innovate "services faster? "How do we bring new capabilities to market? "And how do we really help to grow the top line, "not just manage our costs?" And I think that's what you're seeing at this event this year, is the excitement around virtual reality and augmented reality, the excitement around a smart home and all the capabilities that you'll have in your appliances and in your infrastructure in your own home and how you run your household. Seeing all of the innovations that we've got in smart cities, so smart lighting, smart water systems, smart meters, and smart parking, another thing that we're seeing here in terms of a set of use cases that we're enabling. Of course, no trade show event that you're talking about in terms of new use cases and new experiences is complete without an autonomous car, so we have a beautiful BMW 7 Series auton. vehicle that we're showcasing here, but again, this is part of what we're enabling in terms of new use cases when you have virtual unlimited computes being brought to the edge of the network with all new radio technologies to address a lot of that bandwidth, a lot of that latency, highly sensitive type of ultra-reliable capability that you need for an autonomous car. So what you're seeing is these smart cities and virtual reality and autonomous driving and smart home, and how all of the underlying technologies make that possible. And from a business perspective, all those new services are clearly what the communication service providers are trying to deliver to the market and trying to do it in a way that embraces cloud business models but also working with all of the enterprises and that traditional business, whether it's an automotive industry or whether it's an industrial automation industry or even all of the appliances that go into your home. All these traditional businesses really disrupting themselves to embrace technology and to bring many more capabilities that, again, have never been possible before. >> John: Yeah the car really brings this data center to the edge in full light for the consumer. It's a moving data center, needs to talk to a base station, needs to talk to the network. And really, this is the new normal. You see Alexa in the home and the voice activation, all the coolness going on there. And a lot of folks have criticized the telcos in the past for being very good at turning on subscribers and billing them as their core competency. But now with IOT, you have literally, you know, provisioning that's happening so fast and so dynamic, you have literally anything with a SIM card is now on the network. This kind of changes the notion of a subscriber. So, moving from that bill to operational in this new thousands of things and people on the network, it's not as clean as it was in the old days. Are the telcos on this? Do they get this concept? I mean, this changes the requirements for the network to be more dynamic and manage the technologies. >> Sandra: It's a fundamental transformation that they're going through, rooted in an urgent business problem that they have, which is that the more data that is created and consumed, the more they have to build out the capacity, but they have to do that in an affordable way, and they can't do it when they're provisioning new services and capabilities and hardware, and particularly in hardware that only does what it was originally intended to do, and they're now moving to a model that is software-defined, where you are able to innovate and provision and deploy at the speed of software, not being anchored in hardware. But they really are absolutely welcoming that opportunity, again, to bring those new services and capabilities to market when they can create a network infrastructure that becomes a platform of innovation, where they can attract developers to imagine new use cases and applications and capabilities that they themselves have the DNA to do but they have such unique assets. They have spectrum, they have contextual information about network bandwidth and conditions. They have customer profile information. They have a billing relationship. >> John: They need security, too, as well. >> Sandra: They have security and reliability, and I mean, all of those assets, if they can tap into that and serve that up, as again, a platform upon which innovation can happen, then that's really their endgame. So while, to your point, they may have been criticized as being kind of slow moving, we really do see them embracing fully this idea that, in order to grow their top lines, and in order to innovate faster in terms of services that, embracing again this fundamental different architectural model of computing and communication converging the server-based and cloud-based technologies, is the wave of the future. And you know 5G just put the nice bow on it, right, because it just makes everything go faster given that all these new use cases that we're looking to enable. >> Producer: Hey John, you only have one question left, so key money question if you want. >> John: Great, my final question. Sandra, my final question is: what's the bumper sticker this year for Mobile World Congress?" If you had to put the bumper sticker on the car, what would it say this year to encapsulate Mobile World Congress? >> Sandra: So for me, it's "5G Starts Today." Because, in order to be ready for all those drones and robots and autonomous cars and all of those immersive experiences in your living room, you really have to transform the network infrastructure today, and that composability of the network infrastructure of the ability to capture a slice of the network and optimize it in realtime for your use case, all that requires programmable, scalable, flexible computing that is secure, that's reliable, and that embraces cloud architectures and cloud business models. And so that is happening today to get ready for 2018, 2019, 2020, when you see many more of those endpoints, those end devices, and those use cases come to be realized, you need to get started today. So 5G is absolutely on its way, and we're very very excited to be a key enabler of that vision. >> John: Sandra Rivera, thanks so much. Corporate Vice President/ General Manager of the Network Platforms Group at Intel. Really bringing the end-to-end technology enabling communications service providers to take their networks to the next level. Getting ready for 5G and bringing the performance to the edge of the network. Thanks for taking the time on theCUBE, calling in from Barcelona, really appreciate it. Have a great day. >> Sandra: Thanks, John, you too! (pulsing music)

>> Announcer: Live from Silicon Valley. It's theCUBE. Covering Mobile World Congress 2017. Brought to you by Intel. >> Okay welcome back everyone, we are live here in Palo Alto for special two days of wall-to-wall coverage for Mobile World Congress. Here in our new 45 hundred square foot studio in Palo Alto. We have folks on the ground. Analysts, we have reporters in Barcelona, but we're going to be covering all the action here in our studio, where we're going to bring folks from Silicon Valley who did not make the trek to Barcelona here to weigh in with reaction and commentary and opinions and analysis of all the happenings of Mobile World Congress. But first, as the day winds down Monday in Europe, we wanted to make sure we get on the phone and get with folks who are on the ground. And right now on the phone we have Floyd Strimling who's the global vice president of HANA Cloud, I'm sorry, the HANA Cloud Platform which the big news was, they renamed their product from SAP HANA Cloud Platform to SAP Cloud Platform. Floyd Strimling, thanks for taking the time after your dinner. Thanks for coming on. >> Floyd: Yeah, thanks for having me. I'm glad to be there. Happy to help out and give you some insights on what's going on here in beautiful Barcelona. It's actually quite warm here. >> Is it warm? I saw some umbrellas over the weekend but great city, I would love to have been there, but I wanted to anchor the coverage here. One of my favorite cities. But first, tell me what's going on. Obviously over the weekend we were preparing, we were covering all the content for the folks watching, CUBE365.net/MWC17. The news is all there. Every single piece of signal is there. Go to our site. Check it out. Floyd, what's happening? It's been a hand-set show all weekend. Obviously Nokia making a comeback. Blackberry making a comeback. LG, Huawei, Hess Phones, they all want to be Apple, but yet 5G is also dominating as well. So there's a culture clash. What's happening in Barcelona? What's your analysis? >> Floyd: The biggest thing that I was surprised by is exactly what you're talking about. The number of headset announcements and the number of displays that are all based upon new devices and the nostalgia for Blackberry and Nokia continues. People are rooting for them to make a comeback. In the meantime, you've got new devices from Huawei. You've got Samsung doing announcements. You know you're in the show when Sony has a big presence in Europe with their handsets, which I don't see too much in North America and it just seems to be everybody is gunning really for maybe what they foresee as the perceived weakness in Apple just not going for the killer 7 and waiting for the 8 to change the game. And they're all going to try to knock them off the pedestal. There's some very interesting phones that are out there. 5G is definitely everywhere, too. Everyone's talking about it. Everyone's trying to be the first. Trying to show, especially the streaming capabilities. What that'll be able to do and what it'll be able to change. And then, you know what? One of my favorite sections was the drones. We got to see some commercial carbon fiber drones that I never saw up and personal. See what's going on in there. A lot of interesting things going on with those things and more than just delivery, right? Everything that you could possibly do. There's no shortage of IoT and connected this, connected that, but they're adding a flavor of AI now. And I think we still got to get to Step 1 with IoT before we go to Step 2. So, it's been interesting to watch people try to leapfrog each other as they move towards new technologies. [Interviewer] How big is the crowd there? How packed is it? I mean one of the things we were talking about was the identity crisis of the show, Mobile World Congress, you mentioned people going after Apple. But also Samsung. Remember, they're bailing out of the show. They had their own little presser conference last night, they're not active in the show and they have their own problems. I mean the Galaxy 7 blowing up is, everyone's going after Samsung and Apple on the phone side, but you've got Sony, you've got 4K screens, you've got Netflix there, you've got entertainment, it's like a CES wannabe show for those guys, and at the same time it's a serious meat-and-potatoes Telco show with a lot of 5G, IoT, and I haven't heard anything about E-Sports. I saw a little bit with Twitch doing some stuff there, but for the most part, it's a digital show. So is there a huge crowd there and what's the demographics like there for the makeup of the attendees? >> Floyd: You know, I'm seeing big crowds, judging from how long it takes to take a taxi or get the subway. It's a lot of people there. And I'm seeing it's mixed. I'm actually seeing quite a few large enterprises from around the world. They're looking around, just looking at different technology and trying to make sense of what's happening. I do see the big Telcos are here. You know, everything from Telefonica, you of course have Huawei, you have T-Mobile, and Orange and a bunch of those major vendors that are doing it. I'm also seeing HPE and Intel on the same show area that we are on the other side that are generating traffic. I think the mix is pretty good this year and I will tell you, look, I've been to a lot of shows and some shows have trouble drawing people and this medium, some people are saying is not going to survive. I love going to the show and actually feeling the energy. 'Cause there is a ton of people here, there are a ton of large exhibitions with some really interesting stuff. VR, some geek talk, some funny stuff. There's people selling cases, you know, for your phone. I thought that was kind of awesome to see that again. I mean it's all over the place. I think the show is extremely healthy and it's as busy as ever. [Interviewer] One of the things about Mobile World Congress, it's a lot of business development, too. There's some heavy hitters there. It's kind of like Sun Valley meets, you know, the CES show. It really is a mix there. I want to get your take on some of the emerging areas that are really exploding in the mind of the consumer. And these are forward-thinking categorical areas. Autonomous vehicles, Smart Cities, Smart Home and, just in general, this new IoT area. So, what's your take on those areas? I mean, autonomous vehicles, they're huge. But Smart Cities, Smart Home, entertainment, is there a lot of buzz there? You guys have a stadium exhibit. What's the sexy demos? What's the sexy areas? >> Floyd: Yeah, I'll tell you a couple of things on this. You know, on the autonomous vehicles, now it's not just autonomous vehicles, it's going to try to be the first 5K autonomous vehicles. You know, people are looking at just pushing the envelope on it. And I think in Europe where people definitely love to drive, it's big, but I don't know if it's got the same excitement as you do in the traffic-jammed areas of the United States where we're constantly battling this and to put the car into autonomous mode and be able to do something else while stuck on the 405 would be a nice thing to do. I do think that the Smart homes is extremely interesting right now. I mean you have some of the people getting their arms around and I'm starting to see people actually talking about it and you know, a lot of people talking about smart things. This ability through a single gateway to be able to connect to all different types of devices, to be able to hook in with Alexa and Google Home and to be able to actually do more things with it and trying to make it simpler. So that I can do this reliably and easily. That's what everyone wants right now. On the Smart Cities front, I'm seeing a lot of people talk about Smart Cities. I think we're still kind of in that experimentation phase. You know a lot of geo-sensing stories I'm seeing. Some power conservations for lights. The ones that I'm interested in are kind of like traffic management. I'm extremely interested in this. Where we finally can get even smarter traffic lights and systems where you can do things like turn on no left turn or make a lane that's all four lanes. You know, make it one direction if traffic comes up. Very interesting concepts that people are trying out. You know for SAP, the biggest thing that we've got going, it continues to be our Smart Stadium demonstration. Every time that runs it's standing room only. People very interested about. Of course, it's a football, European football, not American football, so we're showing what you can do, and teams experience watching the games and actually how you can change the experience of training. And tremendous amounts of people interested in that. I mean, it's always an amazing crowd of people. Just because it's so intriguing and something we can all relate to. Because we want to have a better experience with this. [Interviewer] You know, Floyd, the Smart Stadiums thing is a really interesting thing. I just shared a link on the CUBE365.net/MWC17, that's our URL for our new CUBE365 all year long site. But one of the articles I shared was from the FC Barcelona Football Club and there was a speech at Mobile World Congress where the president gave a talk to explain the role FC Barcelona in the development of sports through knowledge and innovation to generate value for the club and society. And you think about the stadium aspect of what you were just talking about, is interesting. It's a place where people get together in an analog world, but yet when you weave in a digital services, the role of say an SAP, powering the database and doing all the back office things to power the business, combined with IoT, you now can bring in real people into experiences that are tied to the sports. But also you can go beyond that. You can take that digital interaction and take it to the next level. So there is a data aspect to a society role here. So you're seeing sports teams going beyond marketing their club to having an impact. Can you share any color on that? Do you agree? Do you guys have anything that you're showing? >> Floyd: Well, I agree. I think that much like racing is for the auto industry to bring innovations to the consumer side, or you could even say masses and states that comes into all of our lives. I think that this work is going to push the envelope, even harder than other areas, simply because they know that hundredths of a second is the difference between winning and losing. You know, we've gone with McLaren for years, working with them on tracking their race cars and building dashboards and giving them information. And now to be able to bring that type of technology to the stadium and bend the way that you actually have that interactive experience, it actually makes it that you want to go to the stadiums. Which is, you know, people are, it's a little bit of a hassle. You got the traffic, you got the people, it's like you can sit on your couch and watch it on your 4K television and be happy. I think that people need a way to actually draw the crowds in there. And I think that the interactions, especially with the work that we're doing with Apple and building native applications using our Fiori Technology and our UI Technology, it's starting to really bring together those classical back-end systems with all that rich data and bring it forward so people can actually experience what that data means and use it a different way. So I definitely agree with you. I enjoy working with the sports teams, 'cause they're willing to try anything that gives them a competitive advantage, and it's interesting how to take that technology and then apply it to the consumer and the business world. [Interviewer] Well, you know, we love to be called the ESPN of Tech, so we love sports here. So anytime you have a great sports event you can invite us to, we'd be happy to accept your invitation in advance. Appreciate that. Floyd, of course, great coverage. I'll give you the final word, and next we have a minute or two left. I'll say SAP big announcement with the Apple software development kit, the IOS general availability now. You got native developer support. That's classic bringing cloud native developers into the SAP fold which dominates the enterprise and business base from sports firms to large enterprises. Great marketplace behind that. But you guys are doing a lot more with IoT, AI and machine learning. Share, just take a minute to talk about the key things that SAP is doing for the folks watching. Because losing the name HANA Cloud really emphasizes that SAP is SASifying their entire business, which includes things like microservices, and having kind of IoT as a service and managing workloads dynamically in realtime with a consumer front-end feel to it. Take a minute to describe the key important points of what you guys announced and are impacting. >> Floyd: I would say the biggest thing that we have going really is two-fold. One, it's the elevation of this brand. SAP protects our brand. It's a very, very noticeable and valuable brand. To elevate the platform to a top-tier brand, basically it's signaling to everybody, our customers, our partners, independent software vendors, our competitors, anyone else out there that SAP is serious about building a platform in the cloud that is world-class, enterprise grade and has the capabilities that our customers need to make this digital transformation and we're coming. We're going to innovate at a fast clip and we're not that old SAP that people think about. I think the partnership with Apple further shows that. I mean Apple is very choosy about who they work with. They're at our booth. They're helping us They're showing the demonstrations. They're working on the SDK. And that realization that, hey, to build these world-class native applications, using Swift and this SDK and the capabilities that would bring, are now elevating that game in the mobile space for our customers, which is key. And I think it's a very powerful partnership because we're both such recognizable brands and we both have a really solid enterprise presence and a large ecosystems. On the services, you know, the big thing I would just say, is the IoT services is ready for people to use now in the Beta fashion. It's combining all the access so we can build a device cloud with the Symantec data model that's a little bit different than other people are doing. And combining that with our Leonardo applications which give you a good idea of what's possible on the cloud. And to be able to keep pushing that forward, I think is key. We have the big data services which was the alpha scale announcement, acquisition now being fully integrated into the platform is huge. It basically gives us world-class Spark Services, which we need to be able to compete in this world. You know and I think that the service improvements are there. There's some good service improvements incremental and some things that our enterprises really want from us, like workflow and the ability to put a little infrastructure in there with virtual machines. And our data center build out. You know, friends don't let your friends build data centers, but some companies have to build data centers, so having the ability to have a data center now in Japan and in China, is key to our customers, especially with all this legal wrangling that's going on in clouds. So I think all in all for SAP, it's been a great show. A great place to showcase that we're doing stuff differently and watch out for what we're going to be doing in the future. Because we got a lot more stuff coming, and we're going to be a player in this space. And we're ready. [Interviewer] All right, Floyd Strimling, global vice president with SAP Cloud Platform. Final question, I mean I got to ask you. How's the food? How's the tapas? Are you going to take a nap and then stay out 'til four in the morning then doing it all over again? Barcelona style? >> Floyd: It is Barcelona-style right now. I got to go get some Sangria, some tapas and then we'll hit the places that the tourists don't go to, and have some real good time with the locals. You can't come to Barcelona and go to sleep, that's not allowed. [Interviewer] All right. You're not allowed. Hey, spread the CUBE love for us out there. Really appreciate your taking the time. Thanks, Floyd. We'll talk to you later. Thanks so much. >> Floyd: Thanks. [Interviewer] Okay, Floyd Strimling on the ground in Barcelona here on theCUBE by remote coverage from Palo Alto. We're going to be going wall-to-wall 'til six o'clock tonight, 8 a.m. tomorrow morning, and again, we'll have reaction from folks on the ground in Barcelona. Hopefully we'll get some folks late night and hopefully it might be a little bit lubricated up a little bit, socially lubricated, get to share some good dirt. That's where all the action's happening, up in Barcelona and this is theCUBE. We'll be right back with more coverage, more analyses. We've got Tom Joyce coming in, industry executive to help me break down from his perspectives, the horses on the track. Who's going to win, who's going to lose, and what's going on with NFV? Because NFV certainly now has a bigger opportunity with 5G connecting all these devices together. That's the big story as well as the big devices and the new upgrades. Be back with more after this short break.

>> Announcer: Live from Gillette Stadium in Foxboro, Massachusetts, it's theCUBE, covering #VTUG's New England Winner Warmer 2017. Now, your host, Stu Miniman. >> And we're back, with SiliconANGLE Media's presentation of theCUBE, we're the worldwide leader in enterprise tech coverage, happy to welcome back to the program, Steve Pao, who's the CMO of Igneous Systems, Steve flew out from Seattle here to, welcome to the home of the New England Patriots. >> Oh my gosh. Number 12, number 12! >> The 12 man representing here, you've got, I have to say, I almost canceled my season tickets when Pete Carroll was our coach, so, luckily he's worked out better for you than he did for us. My wife's a Brown fan, she says the same thing about Bill Belichick. So, it's the coaching fraternity is kind of like the tech world, it's a small group, you all kind of get to know each other and move around, so, thanks for joining us. >> Yes, well thanks for having me! >> Alright, so Steve, we've been talking to you guys since you were coming out of Stealth, why don't you give our audience, what's the update on Igneous? >> Okay, well for those of you who don't know us, what Igneous really does is we offer an onsite private cloud storage service, and that's our first offering, it's part of our greater mission of providing true cloud for local data, and what we basically offer today is an unstructured data store that's completely delivered as a service, we take our own equipment, we install it, we monitor it, we manage it, we even refresh it when necessary, and all the customer has to do is really subscribe, and that's it. It's all pay-as-you-go, and it's all zero touch for the customer. We launched back in October, as you recall, and one of the things that I think that it's been really great since launching is that we've really started to see how customers that didn't know us are actually really evaluating, really, I think, the convergence of two trends, one is there's this data growth, data trend that goes on, and pretty much everybody we talk to, citing data growth rates on the order of doubling every three years, where IT budgets are growing less than 5% a year, so there's this mismatch where, basically everybody's hitting this juncture that what they used to do can't work because the data's growing faster than the budget. And at the same time, there's this data growth that's actually happening, and the data growth is not from relational databases and structured data, but rather, a lot of new applications that are logging sensor data that are supporting machine learning, AI, really, it's machine-generated data being analyzed by machines, with humans really just training the AI and the machine learning. >> Yes, Steve, I want to unpack that a little bit, let's talk it, because many of us that watch storage, it's been like, well the storage industry, it needs to change, it's not about selling boxes, it's not about capacity, and even on unstructured data, it was kind of like, okay well, what's creating data and what's actually valuable? How much is it just, do I stick it on a cheap tier, what do I actually do with it, what's interesting you guys do, some of those use cases, throughout machine learning, machine data, things like sensors, every time I hear that word, that IoT buzzword kind of pops into our head, but maybe you could talk to some of those, what's bringing customers, what's that driving challenge that they have, that you're helping to solve, that's different from the way storage has been done for many years? >> Yeah, I think, that's a great question, and I think that there's just been a real transition, and I think the transition has been largely created by the kinds of data that we want to manage and that we want to curate, and as we're seeing these sort of large unstructured data sets, it starts with the data, so as an example, you take equipment that used to exist in the past, like let's say in scientific computing. You used to have flow cytometers, which were just time-series data, and then what's now happened is is associate with ever flow cytometers, now a real-time video feed. When you look at the old world of microscopy, what you used to do is you used to flash freeze a sample, and basically take a picture of it, and now what you can do with lattice light-sheet microscopy is you can actually look at cells in vivo, while they're alive, and you can, I've personally gotten to watch a T cell move through a collagen matrix, and that's all microscopy, but generating orders of magnitude more data. That is, we're looking at these very, very different data sets, we're looking at very, very different kinds of computing, and what that requires is very, very different kind of infrastructure. And so, the infrastructure has just had to get a lot more intelligent, and the architecture has had to get a lot different, and what we've noticed is is that, that a lot of the patterns that are actually being built in the public cloud as they've taken kind of a fresh look at the computing models, have really become appropriate for this new kind of computing, and we don't see that on the premises, and that's really what we set out to go do. >> Yeah, it's interesting, it's probably the wrong term, but it sounds like we're describing kind of object storage 2.0. 1.0, I remember this healthcare use cases, everybody, when I was doing radiology, when you're doing certain healthcare and sciences, I need metadata, I need to understand that, but now there's just orders of magnitude more data, and technologies are making, it's denser, prices have come down, so the idea has been around for a little bit while, but it sounds like the technology's matured to allow kind of an explosion-- >> Well, and it's just a computing model, it's like one of these things where we're really, because of the emergence of microservices, one of the things that we've seen is applications want a restful interaction with the storage layer, and so, so it turns out that that tends to be very, very perfect for a cloud-like implementation where you can actually implement high volume, unstructured data really, really well via a restful API, where in the old world of POSIX semantics and that kind of transactional model, you just lost scalability. Either you had a lot of proprietary hardware, with that VRAM, you had proprietary interconnects data with things like InfiniBand, and nowadays, being able to loosely couple distributed systems is really the name of the game, and that's ultimately what we aim to build at Igneous, and that's all the technology, in terms of our commercial offering, the customer doesn't care what's behind it, but fundamentally, what you're looking for is the scalability and resilience that the cloud offers by doing that on premises. >> Yeah, so Steve, we had a really interesting crowd chat about a month or so ago talking about hybrid cloud, and the thing I've been saying for the last, probably year, is, as customers try to figure out what goes where in the cloud environment, you know, I've got SaaS, I've got public out of, I've got my private cloud, it's follow the data and follow the applications. In the cloud, things like mobile and even some video streaming, I think we understand how to do that, but why does on-premises make sense for your customers, your workloads, and your solution? >> Yeah, absolutely, and so, first, a little bit on hybrid cloud, there are kind of two different definitions of hybrid cloud, one is kind of the AWS VMWare scheme where what you're really looking to do is run your old stuff that you were running on-prem, in the public cloud, and you call that hybrid. But there's another way to look at it, which is to say, hey, let's take a look at the computing patterns that are being run in the public cloud, how do I bring that down to the premises? And the reason that you might want to do that is, it's really twofold, one is the gravity of the data, so it might just be that the datasets are too big to move back and forth over very thin internet pipes, and so you want to actually keep the data close to its source. The other is something that we've seen, which is really more of a preference, which is that while I think that cloud technologies actually have a lot of capability for security, there are a lot more hoops for folks to run through to ensure that they're compliant with their own internal policies, and where they've already set out a set of policies for how they run the stuff behind the firewall, sometimes it's just simpler for them to actually keep all of the data on the premises, and not actually have to worry about some of the issues in tracking, and compliance issues associated with how you move the data around. >> Yeah. One of the things we've heard from users is when they use public cloud, one of the things they really like is, sometimes the CFO's not fully onboard, but buying things as a service, so, they want to understand predictability, but they want to buy it as a service, understand, how does your solution fit into that kind of paradigm? >> That's great, I think our solution fits into both trends really, really well, because what we're really offering, we talked a little bit about technology, but really fundamentally, we're offering a service, and so when Igneous goes to a customer, our interaction is as a service. Customers interact with our service via APIs, and they get a bill for a subscription, and so it's an as-a-service model, you don't buy hardware, you don't install software, you don't have systems to manage. At the same time, there is a predictability that's a little bit of the downside of the public cloud, because there's a fee, generally, to access your data at a storage, and often, when people don't actually understand their data access and their data movement patterns, the costs of running applications in public cloud become quite unpredictable, and you actually don't run into that unpredictability with a solution like Igneous, because our data is on your local area network, and we don't charge you to access the data that's on your own network. >> So, I've come to an event like this, if I'm thinking about my storage today, the conversation in the marketplace has been, well, the new choices out there is, there's, the HCI, the hyper-convergence infrastructure, and there's flash, the AFA devices out there. And of course, even the lines between those are blurring, because I can have an all-flash configuration of hyper-converged, and some of the all-flasher a things are getting converged and put into more things, how do you help customers as the, what's the bullet point as to, well, this is for this kind of application, this is for this solution, and hey, there's this whole new category that you need to be thinking about. >> Yeah, I think that's perfect, and I think the real trick here is is that there's a difference between your hot tier and your flash tier, and your capacity tier, and fundamentally, the flash tier is really good when Time To First Byte is very important, so that might be for your relational database applications and things of that sort, where there tends to be a lot of searching through an index, and so you've got a lot of low-latency requirements. And then on the other hand, what you have is a capacity tier, they may be your video surveillance, they may be your large, unstructured documents, they may be your censor data, and in those contexts, you don't necessarily need the Time To First Byte, what you really need is capacity throughput, and so the overhead of setting up, for example, a restful connection is not significant when compared to the amount of data that actually needs to go through the system, and that's actually where restful semantics actually gets superior to positive semantics, when you have very, very large, unstructured data sets. Hyper-converge is actually a little bit of a different world, and I think that while hyper-converge has worked out pretty well, I think, for virtualization workloads, we've really found that when it comes to these very, very large unstructured data sets, hyper-converge isn't necessarily always the way to go, you tend to find a utilization issue between your compute and your storage layers, where you have to actually think about how you're balancing all this stuff, and so, really, the world that we've really seen emerge as new applications come forward, is there's really a trend to write microservices that are stateless, and to have them talk to a stateful layer, that's why in the public cloud, there's a pattern of having things like elastic container services talking to an S3, and we definitely see on premises that same type of things that's going to emerge. There's going to be some time to get there, admittedly, as I was mentioning kind of at the beginning, we've seen this really interesting set of interest patterns, one is from the folks who are developing these new applications that are utilizing unstructured data, there's a lot of interest we're getting right now from IT folks that are just getting started with object storage to do secondary workloads, to do backups, to do archives, and it's been interesting that we've been getting a lot of interest in our service as a new way to approach some of these data protection workflows. >> Alright, so Steve, last question I've got for you, came out of Stealth Q4 last year, what do we look for in 2017 from Igneous? >> Yeah, so I think that you'll see it on both of those fronts, I think that one thing that's going to be seen in 2017 is a lot more development on our side around building up a tool chain for folks to use for a data protection tier, and so, we've got a new offering coming online, we're calling it Igneous Insights, which provides information about what's currently on your primary storage tiers, we've got a whole set of replication services, they're coming up to do backup, archive, things like replication to the cloud, but what we're also really moving forward with is a lot of what's needed in the tool chain to really support hybrid and multi-clouds, so how you facilitate the data movement in and out of the cloud, as well how you do the auditing and management of the data, no matter where it lives. >> Alright, Steve Pao, really appreciate you catching up, and if you want to find out more about this category, check out cube365.net/trueprivatecloud, that's C-U-B-E, number 365.net/trueprivatecloud, which has resources from the whole industry, including from Igneous, including from Wikibon and theCUBE, as to what's happening kind of this true private cloud, hybrid cloud environment. We'll be back with lots more coverage here, thanks for watching theCUBE. (electronic music) >> Announcer: Since the dawn of the cloud, theCUBE has been there.