(lighthearted music) >> Hey all. Welcome back to theCube's coverage of Kubecon North America '22 CloudNativeCon. We're in Detroit. We've been here all day covering day one of the event from our perspective. Three days of coverage coming at you. Lisa Martin here with John Furrier. John, a lot of buzz today. A lot of talk about the maturation of Kubernetes with different services that vendors are offering. We talked a little bit about security earlier today. One of the things that is a hot topic is national security. >> Yeah, this is a huge segment we got coming up. It really takes that all that nerd talk about Kubernetes and puts it into action. We actually see demonstrable results. This is about advanced artificial intelligence for tactical decision making at the edge to support our military operations because a lot of the deaths are because of bad technology. And this has been talked about. We've been covering Silicon Angle, we wrote a story there now on this topic. This should be a really exciting segment so I'm really looking forward to it. >> Excellent, so am I. Please welcome back one of our alumni, Nick Barcet senior director, customer led open innovation at Red Hat. Great to have you back. Greg Forrest joins us as well from Lockheed Martin Director of AI Foundations. Guys, great to have you on the program. Nick, what's been your perception before we dig into the news and break that open of KubeCon 2022? >> So, KubeCon is always a wonderful event because we can see people working with us in the community developing new stuff, people that we see virtually all year. But it's the time at which we can really establish human contact and that's wonderful. And it's also the moments where we can make big topic move forward and the topics have been plenty at this KubeCon from MicroShift to KCP, to AI, to all domains have been covered. >> Greg, you're the director of AI foundations at Lockheed Martin. Obviously well known, contractors to the military lot of intellectual property, storied history. >> Greg: Sure. >> Talk about this announcement with Red Hat 'cause I think this is really indicative of what's happening at the edge. Data, compute, industrial equipment, and people, in this case lives are in danger or to preserve peace. This is a killer story in terms of understanding what this all means. What's your take on this relationship with Red Hat? What's the secret sauce? >> Yeah, it's really important for us. So part of our 21st century security strategy as a company is to partner with companies like Red Hat and Big Tech and bring the best of the commercial world into the Department of Defense for our soldiers on the ground. And that's exactly what we announced today or Tuesday in our partnership. And so the ability to take commercial products and utilize them in theater is really important for saving lives on the ground. And so we can go through exactly what we did as part of this demonstration, but we took MicroShift at the edge and we were able to run our AI payloads on that. That provided us with the ability to do things like AI based RF sensing, so radio frequency sensing. And we were also able to do computer vision based technologies at the edge. So we went out, we had a small UAV that went out and searched for a target on the ground. It found a target using its radio frequency capabilities, the RF capabilities. Then once we're able to hone in on that target, what Red Hat device edge and MicroShift enables us to do is actually then switch sensing modalities. And then we're able to look at this target via the camera and use computer vision-based technologies to actually more accurately locate the target and then track that target in real time. So that's one of the keys to be able to actually switch modalities in real time on one platform is really important for our joint all domain operations construct. The idea of how do you actually connect all of these assets in the environment, in the battle space. >> Talk about the challenge and how hard it is to do this. The back haul, you'll go back to the central server, bring data back, connecting things. What if there's insecurity around connectivity? I mean there's a lot of things going, can you just scope the magnitude of how hard it's to actually deploy something at a tactical edge? >> It is. There's a lot of data that comes from all of these sensors, whether they're RF sensors or EO or IR. We're working across multiple domains, right? And so we want to take that data back and train on that and then redeploy to the edge. And so with MicroShift, we're able to do that in a way that's robust, that's repeatable, and that's automated. And that really instills trust in us and our customers that when we deploy new software capabilities to the edge over the air, like we did in this demonstration that they're going to run right on the target hardware. And so that's a huge advantage to what we're doing here that when we push software to the edge in real time we know it's going to run. >> And in realtime is absolutely critical. We talk about it in so many different industries. Oh, it's customers expect realtime access whether it's your banking app or whatnot. But here we're talking about literally life and death situations on the battlefield. So that realtime data access is literally life and death. >> It's paramount to what we're doing. In this case, the aircraft started with one role which was to go find a radio frequency admitter and then switch roles to then go get cameras and eyes on that. So where is that coming from? Are there people on the ground? Are there dangerous people on the ground? And it gives the end user on the ground complete situational awareness of what is actually happening. And that is key for enhanced decision making. Enhanced decision making is critical to what we're doing. And so that's really where we're advancing this technology and where we can save lives. >> I read a report from General Mattis when he was in service that a lot of the deaths are due to not having enough information really at the edge. >> Greg: Friendly fire. >> Friendly fire, a lot of stuff that goes on there. So this is really, really important. Nick, you're sitting there saying this is great. My customer's talking about the product. This is your innovation, Red Hat device edge in action. This is real. This is industrial- >> So it's more than real. Actually this type of use case is what convinced us to transform a technology we had been working on which is a small form factor of Kubernetes to transform it into a product. Because sometimes, US engineers have a tendency to invent stuff that are great on paper, but it's a solution trying to find a problem. And we need customers to work with us to make sure that do solution do solve a real problem. And Lockheed was great. Worked with us upstream on that project. Helped us prove out that the concept was actually worth it and we waited until Lockheed had tested the concept in the air. >> Okay, so Red Hat device edge and MicroShift, explain that, how that works real quick for the folks that don't know. So one of the thing we learned is that Kubernetes is great but it's only part of the journey. In order to get those workloads on those aircraft or in order to get those workloads in a factory, you also need to consider the full life cycle of the device itself. And you don't handle a device that is inside of a UAV or inside of a factory the same way you handle a server. You have to deal with those devices in a way that is much more akin to a setup box. So we had to modify how the OS was behaving to deal with devices and we reduced what we had built in real for each edge aspect and combined it with MicroShift and that's what became with that Red Hat device edge. >> We're in a low SWAP environment, space, weight and power, right? Or very limited, We're on a small UAS in this demonstration. So the ability to spool up and spool down containers and to save computing power and to do that on demand and orchestrate that with MicroShift is paramount to what we're doing. We wouldn't be able to do it without that capability. >> John: That's awesome. >> I want to get both of your opinions. Nick, we'll start with you and then Greg we'll go to you. In terms of MicroShift , what is its superpower? What differentiates it from other competing solutions in the market? >> So MicroShift is Kubernetes but reduced to the strict minimum of a runtime version of Kubernetes so that it takes a minimal footprint so that we maximize the space available for the workload in those very constraints environments. On a board where you have eight or 16 gig of RAM, if you use only two gig of that to run the infrastructure component, you leave the rest for the AI workload that you need on the drone. And that's what is really important. >> And these AI payloads, the inference that we're doing at the edge is very compute intensive. So again, the ability to manage that and orchestrate that is paramount to running on these very small board computers. These are small drones that don't have a lot of weight that don't allow a lot of space. >> John: Got to be efficient >> And be efficient with it. >> How were you guys involved? Talk about the relationship. So you guys were tightly involved. Talk about the roles you guys played together. Was it co-development? Was it customer/partner? Talk about the relationship. >> Yeah, so we started actually with satellite. So you can think of small cube sets in a very similar environment to a low powered UAV. And it started there. And then in the last, I would say year or so, Nick we have worked together to develop MicroShift. We work closely on Slack channels together like we're part of the same team. >> John: That's great. >> And hey Red Hat, this is what we need, this is what we're looking for. These are the constraints that we have. And this team has been amazing and just delivered on everything that we've asked for. >> I mean this is really an example of the innovation at the edge, industrial edge specifically. You got an operating system, you got form factor challenges, you got operating parameters. And just to having that flex, you can't just take this and put it over there. >> But it's what really is a community applied to an industrial context. So what happened there is we worked as part of the MicroShift community together with a real time communication channel, the same slack that anybody developing Kubernetes uses we've been using to identify where the problems were, how to solve them, bring new ideas and that's how we tackle these problems. >> Yeah, a true open source model I mean the Red Hat and the Lockheed teams were in it together on a daily basis communicating like we were part of the same company. And and that's really how you move these things forward. >> Yeah, and of course open source is great but also you got to lock down the security. How did you guys handle that? What's going on with the security? 'Cause you got to make sure no take over the devices. >> So the funny thing is that even though what we produce is highly inclusive of security concern, our development model is completely open. So it's not security biopurification, it's security because we apply the best practices. >> John: You see everything. >> Absolutely. >> Yes. >> And then you harden it in the joint development, there it is. >> Yeah, but what we support, what we offer as a product is the same for Lockheed or for any other customer because there is no domain where security is not important. When you control the recognition on a drone or where you control the behavior of a robot in a factory, security is paramount because you can't immobilize a country by infecting a robot the same way you could immobilize a military operation- >> Greg: That's right. >> By infecting a UAV. >> Not to change the subject, but I got to go on a tangent here cause it pops in my head. You mentioned cube set, not related to theCUBE of course. Where theCube for the video. Cube sets are very powerful. People can launch space right now very inexpensively. So it's a highly contested and congested environment. Any space activity going on around the corner with you guys? 'Cause remember the world's not around, it's edge is now in space. Mars is the edge. >> That's right. >> Our first prototype for MicroShift was actually a cube set. >> Greg: That's where it started. >> And IBM project, the project called Endurance. That's the first time we actually put MicroShift into use. And that was a very interesting project, very early version of MicroShift . And now we have talks with many other people on reproducing that at more industrial level this was more like a cool high school project. >> But to your point, the scalability across different platforms is there. If we're running on top of MicroShift on this common OS, it just eases the development. Behind the scenes, we have a whole AI factory at Lockheed Martin where we have a common ecosystem for how we actually develop and deploy these algorithms to the edge. And now we've got a common ecosystem at the edge. And so it helps that whole process to be able to do that in automated ways, repeatable ways so we can instill trust in our DRD customer that the validation of verification of this is a really important aspect. >> John: Must be a fun place to work. >> It is, it's exciting. There's endless opportunities. >> You must get a lot of young kids applying for those jobs. They're barely into the whole. I mean, AI's a hot feel and people want to get their hands on real applications. I was serious about space. Is there space activity going on with you guys or is it just now military edge, not yet military space? Or is that classified? >> Yeah, so we're working across multiple fronts, absolutely. >> That's awesome. >> What excite, oh, sorry John. What excites you most, never a dull moment with what you're doing, but just the potential to enable a safer, a more secure world, what excites you most about this partnership and the direction and the we'll say the trajectory it's going on? >> Yeah, I think, for me, the safer insecure world is paramount to what we're doing. We're here for national defense and for our allies and that's really critical to what we're doing. That's what motivates me. That's what gets me up in the morning to know that there is a soldier on the ground who will be using this technology and we will give be giving that person the situational awareness to make the right decisions at the right time. So we can go from small UAVs to larger aircraft or we can do it in a small confined edge device like a stalker UAV. We can scale this up to different products different platforms and they don't even have to be Lockheed Martin >> John: And more devices that are going to be imagined. >> More devices that we haven't even imagined yet. >> Right, that aren't even on the frontier yet. Nick, what's next from your perspective? >> In the domain we are in, next is always plenty of things. Sustainability is a huge domain right now on which we're working. We have lots of things going on in the AI space, stuff going on with Lockheed Martin. We have things going on in the radio network domain. We've been very heavily involved in telecommunication and this is constantly evolving. There is not one domain that, in terms of infrastructure Red Hat is not touching >> Well, this is the first of multiple demonstrations. The scenarios will get more complex with multiple aircraft and in the future, we're also looking at bringing a lot of the 5G work. Lockheed has put a large focus on 5G.mil for military applications and running some of those workloads on top of MicroShift as well is things to come in the future that we are already planning and looking at. >> Yeah, and it's needed in theater to have connectivity. Got to have your own connectivity. >> It's paramount, absolutely. >> Absolutely, it's paramount. It's game-changing. Guys, thank you so much for joining John and me on theCube talking about how Red Hat and Lockheed Martin are working together to leverage AI to really improve decision making and save more lives. It was a wonderful conversation. We're going to have to have you back 'cause we got to follow this. >> Yeah, of course. >> This was great, thank you so much. >> Thank you very much for having us. >> Lisa: Our pleasure, thank you. >> Greg: Really appreciate it. >> Excellent. For our guests and John Furrier, I'm Lisa Martin. You're watching theCUBE Live from KubeCon CloudNativeCon '22 from Detroit. Stick around. Next guest is going to join John and Savannah in just a minute. (lighthearted music)

>>Okay, welcome back everyone. This is the Cube's coverage here in Las Vegas. Back at events re Mars, Amazon re Mars. I'm your host, John fur with the cube. Mars stands for machine learning, automation, robotics, and space. It's great event brings together a lot of the industrial space machine learning and all the new changes in scaling up from going on the moon to, you know, doing great machine learning. And we've got two great guests here with kinda called lunar outpost, Justin Sears, CEO, Lauren, man. He's the co-founder and chief strategy officer lunar outpost. They're right next to us, watching their booth. Love the name, gentlemen. Welcome to the cube. >>Yeah. Thanks for having us, John. >>All right. So lunar outpost, I get the clues here. Tell us what you guys do. Start with that. >>Absolutely. So lunar outpost, we're a company based outta Colorado that has two missions headed to the moon over the course of the next 24 months. We're currently operating on Mars, which forest will tell you a little bit more about here in a second. And we're really pushing out towards expanding the infrastructure on the lunar surface. And then we're gonna utilize that to provide sustainable access to other planetary bodies. >>All right, far as teeing it up for you. Go, how cool is this? We don't, we wanna use every minute. What's the lunar surface look like? What's the infrastructure roads. You gonna pave it down. You what's going on. Well, >>Where we're going. No one has ever been. So, um, our first mission is going to Shackleton connecting Ridge on the south pole, the moon, and that's ripe to add infrastructure such as landing pads and other things. But our first Rover will be primarily driving across the surface, uh, exploring, uh, what the material looks like, prospecting for resources and testing new technologies. >>And you have a lot of technology involved. You're getting data in, you're just doing surveillance. What's the tech involved there. >>Yeah. So the primary technology that we're demonstrating is a 4g network for NOK. Um, we're providing them mobility services, which is basically like the old Verizon commercial. Can you hear me now? Uh, where the Rover drives farther and farther away from the Lander to test their signal strength, and then we're gonna have some other payloads ride sharing along with us for the ride >>Reminds me the old days of wifi. We used to call it war drive and you go around and try to find someone's wifi hotspot <laugh> inside the thing, but no, this is kind of cool. It brings up the whole thing. Now on lunar outpost, how big is the company? What's how what's to some of the stats heres some of the stats. >>Absolutely. So lunar outpost, 58 people, uh, growing quite quickly on track to double. So any of you watching, you want a job, please apply <laugh>. But with lunar outpost, uh, very similar to how launch companies provide people access to different parts of space. Lunar outpost provides people access to different spots on planetary bodies, whether it's the moon, Mars or beyond. So that's really where we're starting. >>So it's kinda like a managed service for all kinds of space utilities. If you kind of think about it, you're gonna provide services. Yeah, >>Absolutely. Yeah. It, it's definitely starting there and, and we're pushing towards building that infrastructure and that long term vision of utilizing space resources. But I can talk about that a little bit more here in a sec. >>Let's get into that. Let's talk about Mars first. You guys said what's going on with >>Mars. Absolutely. >>Yeah. So right now, uh, lunar outpost is part of the science team for, uh, Moxi, which is an instrument on the perseverance Rover. Yeah. Moxi is the first demonstration of space resource utilization on another planet. And what space resource utilization is basically taking resources on another planet, turning them into something useful. What Moxi does is it takes the CO2 from the atmosphere of Mars and atmosphere of Mars is mostly CO2 and it uses a process called solid oxide electrolysis to basically strip oxygen off of that CO2 to produce oh two and carbon monoxide. >>So it's what you need to self sustain on the surface. >>Exactly. It's not just sustaining, um, the astronauts, but also for producing oxygen for propellant. So it'll actually produce, um, it's a, it's a technology that'll produce a propellant for return rockets, um, to come back for Mars. So >>This is the real wildcard and all this, this, this exploration is how fast can the discoveries invent the new science to provide the life and the habitat on the surface. And that seems to be the real focus in the, in the conversations I heard on the keynote as well, get the infrastructure up so you can kinda land and, and we'll pull back and forth. Um, where are we on progress? You guys have the peg from one zero to 10, 10 being we're going, my grandmother's going, everyone's going to zero. Nothing's moving. >>We're making pretty rapid >>Progress. A three six, >>You know, I'll, I'll put it on an eight, John an >>Eight, I'll put it on >>Eight. This is why the mission force was just talking about that's launching within the next 12 months. This is no longer 10 years out. This is no longer 20 years away, 12 months. And then we have mission two shortly after, and that's just the beginning. We have over a dozen Landers that are headed to line surface this decade alone and heavy lift Landers and launchers, uh, start going to the moon and coming back by 2025. >>So, and you guys are from Colorado. You mentioned before you came on camera, right with the swap offices. So you got some space in Colorado, then the rovers to move around. You get, you get weird looks when people drive by and see the space gear. >>Oh yeah, definitely. So we have, um, you know, we have our facility in golden and our Nevada Colorado, and we'll take the vehicles out for strolls and you'll see construction workers, building stuff, and looking over and saying, what's >>Good place to work too. So you're, you're hiring great. You're doubling on the business model side. I can see a lot of demand. It's cheaper to launch stuff now in space. Is there becoming any rules of engagement relative to space? I don't wanna say verified, but like, you know, yet somehow get to the point where, I mean, I could launch a satellite, I could launch something for a couple hundred grand that might interfere with something legitimate. Do you see that on the radar because you guys are having ease of use so smaller, faster, cheaper to get out there. Now you gotta refine the infrastructure, get the services going. Is there threats from just random launches? >>It's a, it's a really interesting question. I mean, current state of the art people who have put rovers on other planetary bodies, you're talking like $3 billion, uh, for the March perseverance Rover. So historically there hasn't been that threat, but when you start talking about lowering the cost and the access to some of these different locations, I do think we'll get to the point where there might be folks that interfere with large scale operations. And that's something that's not very well defined in international law and something you won't really probably get any of the major space powers to agree to. So it's gonna be up to commercial companies to operate responsibly so we can make that space sustainable. And if there is a bad actor, I think it they'll weed themselves out over time. >>Yeah. It's gonna be of self govern, I think in the short term. Good point. Yeah. What about the technology? Where are we in the technology? What are some of the big, uh, challenges that we're overcoming now and what's that next 20 M stare in terms of the next milestone? Yeah, a tech perspective. >>Yeah. So the big technology technological hurdle that has been identified by many is the ability to survive the LUN night. Um, it gets exceptionally cold, uh, when the sun on the moon and that happens every 14 days for another, for, you know, for 14 days. So these long, cold lunar nights, uh, can destroy circuit boards and batteries and different components. So lunar outpost has invested in developing thermal technologies to overcome this, um, both in our offices, in the United States, but we also have opened a new office in, uh, Luxembourg in Europe. That's focusing specifically on thermal technologies to survive the lunar night, not just for rovers, but all sorts of space assets. >>Yeah. Huge. That's a hardware, you know, five, nine kind of like meantime between failure conversation, right. >><laugh> and it's, it gets fun, right? Because you talk five nines and it's such like, uh, you know, ingrained part of the aerospace community. But what we're pitching is we can send a dozen rovers for the cost of one of these historical rovers. So even if 25% of 'em fail, you still have eight rovers for the cost of one of the old rovers. And that's just the, economy's a scale. >>I saw James Hamilton here walking around. He's one of the legendary Amazonians who built out the data center. You might come by the cube. That's just like what they did with servers. Hey, if one breaks throw it away. Yeah. Why buy the big mainframe? Yeah. That's the new model. All right. So now about, uh, space space, that's a not space space, but like room to move around when you start getting some of these habitats going, um, how does space factor into the size of the location? Um, cuz you got the, to live there, solve some of the thermal problems. How do I live on space? I gotta have, you know, how many people gonna be there? What's your forecast? You think from a mission standpoint where there'll be dozens of people or is it still gonna be small teams? >>Yeah. >>Uh, what's that look like? >>I mean you >>Can guess it's okay. >>I mean, my vision's thousands of people. Yep. Uh, living and working in space because it's gonna be, especially the moon I think is a destination that's gonna grow, uh, for tourism. There's an insane drive from people to go visit a new destination. And the moon is one of the most unique experiences you could imagine. Yep. Um, in the near term for Artis, we're gonna start by supporting the Artis astronauts, which are gonna be small crews of astronauts. Um, you know, two to six in the near term. >>And to answer your question, uh, you know, in a different way, the habitat that we're actually gonna build, it's gonna take dozens of these robotic systems to build and maintain over time. And when we're actually talking, timelines, force talks, thousands of people living and working in space, I think that's gonna happen within the next 10 to 15 years. The first few folks are gonna be on the moon by 2025. And we're pushing towards having dozens of people living and working in space and by 2030. >>Yeah. I think it's an awesome goal. And I think it's doable question I'll have for you is the role of software in all this. I had a conversation with, uh, space nerd and we were talking and, and I said open sources everywhere now in the software. Yeah. How do you repair in space? Does you know, you don't want to have a firmware be down. So send down backhoe back to the United States. The us, wait a minute, it's the planet. I gotta go back to earth. Yeah. To get apart. So how does break fix work in space? How, how do you guys see that problem? >>So this one's actually quite fun. I mean, currently we don't have astronauts that can pick up a or change a tire. Uh, so you have to make robots that are really reliable, right. That can continuously operate for years at a time. But when you're talking about long-term repairs, there's some really cool ideas and concepts about standardization of some of these parts, you know, just like Lu knots on your car, right? Yeah. If everyone has the same Lu knots on their wheel, great. Now I can go change it out. I can switch off different parts that are available on the line surface. So I think we're moving towards, uh, that in the long >>Term you guys got a great company. Love the mission. Final question for both of you is I noticed that there's a huge community development around Mars, living on Mars, living on the moon. I mean, there's not a chat group that clubhouse app used, used to be around just kind of dying. But now it's when the Twitter spaces Reddit, you name it, there's a fanatical fan base that loves to talk about an engineer and kind of a collective intelligence, not, may not be official engineering, but they just love to talk about it. So there's a huge fan base for space. How does someone get involved if they really want to dive in and then how do you nurture that audience? How does that, is it developing? What's your take on this whole movement? It's it's beyond just being interested. It's it's become, I won't say cult-like but it's been, there's very, a lot of people in young people interested in space. >>Yeah. >>Yeah. There's, there's a whole, lots of places to get involved. There's, you know, societies, right? Like the Mar society there's technical committees, um, there's, you know, even potentially learning about these, you know, taking a space, resources master program and getting into the field and, and joining the company. So, um, we really, uh, thrive on that energy from the community and it really helps press us forward. And we hope to, uh, have a way to take everyone with us on the mission. And so stay tuned, follow our website. We'll be announcing some of that stuff soon. >>Awesome. And just one last, uh, quick pitch for you, John, I'll leave you with one thought. There are two things that space has an infinite amount of the first is power and the second is resources. And if we can find a way to access either of those, we can fundamentally change the way humanity operates. Yeah. So when you're talking about living on Mars long term, we're gonna need to access the resource from Mars. And then long term, once we get the transportation infrastructure in place, we can start bringing those resources back here to earth. So of course there are gonna be those people that sign up for that first mission out to Mars with SpaceX. But, uh, we'd love for folks to join on with us at lunar outpost and be a part of that kind of next leap accessing those resources. >>I love the mission, as always said, once in the cube, everything in star Trek will be invented someday. <laugh>, we're almost there except for the, the, uh, the transporter room. We don't have that done yet, but almost soon be there. All right. Well, thanks for coming. I, I really appreciate Justin for us for sharing. Great story. Final minute. Give a plug for the company. What are you guys looking for? You said hiring. Yep. Anything else you'd like to share? Put a plug in for lunar outpost. >>Absolutely. So we're hiring across the board, aerospace engineering, robotics engineering, sales marketing. Doesn't really matter. Uh, we're doubling as a company currently around 58 people, as we said, and we're looking for the top people that want to make an impact in aerospace. This is truly a unique moment. First time we've ever had continuous reliable operations. First time NASA is pushing really hard on the public private partnerships for commercial companies like ours to go out and create this sustainable presence on the moon. So whether you wanna work with us, our partner with us, we'd be excited to talk to you and, uh, yeah. Please contact us at info. Lunar outpost.com. >>We'll certainly follow up. Thanks for coming. I love the mission we're behind you and everyone else is too. You can see the energy it's gonna happen. It's the cube coverage from re Mars new actions happening in space on the ground, in the, on the moon you name it's happening right here in Vegas. I'm John furrier. Thanks for watching.

>> From theCUBE's studios in Palo Alto, in Boston, connecting with thought leaders around the globe. These are Cloud Native Insights. >> Hi, I'm Stu Miniman, the host of Cloud Native Insights. And when we talk about cloud native, we're talking about how do I take advantage of the agility in innovation, in cloud and the ecosystem out there? And a big question is if I'm a company that's not born in the cloud, or if I'm person that's not steeped in the knowledge of leveraging and using all of these wonderful tools out there, how do I get there? To help us dig into the people and company moving to cloud and adopt the use of these technologies, happy to welcome to the program, Forrest Brazeal. He is a senior manager with A Cloud Guru is his official title, but he is the cloud bard, as many people know in a bard, of course, an oral transition. He creates poems, he sings, he's got a book coming out to illustrate the cloud and really great to be able to talk to you Forrest. Thanks so much for joining us. >> Hey, it's great to be on the show, Stu, thanks for having me. >> All right, so first if you could just share a little bit about your background. So you joined A Cloud Guru, you know, relatively recently, I'd seen some of the cartoons and videos you've done in the past. You've got kind of a renaissance man look, you're not just a tech guy, as I said, you do have some of those musical pursuits also. So I'd love to hear a little of your background. >> Yeah, so I've been an engineer for a long time. I've been an engineer, been a manager of engineers, a consultant, and that's from, you know, startups ranging all the way up to the fortune 50. So I've seen a lot of enterprises in other companies at various stages of their cloud journey. From, you know, just trying to figure out how to get to the cloud out of the data center, all the way to being very cloud native. As you were saying in your intro, you know, figuring out how to build directly on cloud services. I'm very passionate about that. Very passionate about helping people figure out how to take that next step. Not to be a stucker, to get into a state where they are, but to figure out how to get, as I say up the Serverless ladder, right to that next stage of cloud native adoption. And I've realized that, you know, a lot of these technologies and a lot of these concepts, these practices are very abstract. And sometimes what helps the most is to put that in a format that people can engage with. And so I draw and I sometimes sing and I write all sorts of things just to try to help people understand. You know, even though these technologies and practices, these ideas are abstract, they don't have to be difficult, right? Everybody's got some intuitive understanding of why a doctor exists or why a lawyer exists. It's a little bit harder to get your head around, you know, why does a cloud architect exist? What do they build, right? And that's what I try to do with things like the book, The Read Aloud Cloud, that's coming out in just a couple of months. >> All right, so I love that, you know, helping companies understand these things because, you know, for so many years it was like, ah, well we need a mandate for the cloud. You know, cloud, cloud, cloud. When I started this, it was, you know, cloud is not a destination. There is how do we really take advantage of cloud? And there was one post that you wrote talking about lift and shift. And it was one of those things that we've seen for years, there's arguments of, you know, is lift and shift good, if it's bad? And of course the reality is sometimes lift and shift is needed, but it is step one of what you need to do, because if you're not taking advantage of the cloud, the rift reaches a certain point that you say, oh my gosh, maybe I'm not taking advantage of it, maybe the cost don't make sense, and therefore we scrambled and we pull things back and we celebrate repatriation, which to my mind was always, oh, geez, we kind of didn't understand it, we failed. And then we kind of went back to doing what we didn't want to do. So walk us through, if you could, we've even got an illustration of yours that we'll talk about, but you know, give us, you know, what is the proper way that people should think about lift and shift? >> Yeah, exactly. And to be clear, I'm not dissing lift and shift as a concept. It's very necessary in a lot of cases and you can reel off a bunch of reasons why lift and shift would be an important stepping stone in a cloud journey. And of course, that could be just, you know, I've got to get out of the data center, right? Because my lease is expiring or, you know, my servers are haunted and the whole thing is on fire. I've talked to people who, you know, have fireworks stored in their data center, literally that they're afraid are going to go off, right? The roof is leaking. It's time to get out of there and just get to someplace that's professionally managed. You could be using a lift and shift migration almost as like a financial engineering tactic to go from a CapEx to an OPEX model, right? And tie what you're doing a little bit more closely to what you're spending. There's several other reasons that you might choose to have lift and shift is that first stage you might want just to get your feet wet a little bit in cloud. You know, you might not have the confidence or the expertise in-house to build on fully cloud native services right now, you've got to go in and get your Ops teams hands-on right with the technologies and with the tooling so that they understand a little better, how to get you to that next step. But the really, really key thing is lift and shift is a phase you've got to get through it, you've got to keep innovating. And a lot of people don't realize that they think they can go to the cloud, pick up their servers, run them pretty much as they did in the data center, they can stop there, and they're going to get longterm benefits from cloud. And over time, that gets less and less true. Because as I say, once you move that first VM into EC2 or whatever the case may be, you've started a shot clock on your chances for success in the cloud. That clock is ticking cause your initial benefits are very front-loaded. You're potentially getting some initial cost wins as your, hopefully matching your usage a little bit better to what you're spending on infrastructure, right? You're potentially getting some time to learn and plan for version two of your cloud infrastructure. But the longer you stay in that lift and shift states, some dangers are going to start compounding. Because in the absence of a true cloud native strategy, your teams, your Ops teams, your governance teams, if you have those, right? They're going to continue to do things the way they did it in the data center. Because they don't have true SRE, they don't have true automation, they're going to build manual slow error-prone processes that are going to drag down your time to value your MTTR, all those operational metrics at you look at. You're going to see those costs winds actually start to evaporate because you know, you're still running that legacy monolith, You can't effectively charge back spend to different units inside of your business, you realize you're not getting that value, you thought you were running. You know, because you're running the cloud like a data center, and let's be honest, that's super expensive. And then unfortunately over time, and usually you start hitting this threshold 18 months, two years out, your best people, the experts who were bringing you to the cloud in the first place, they get disillusioned because they're not seeing the continued forward motion that they'd been led to believe was going to happen. And so they start moving on, you get brain drain, and now you've created this new legacy swamp of poor procedures and practices, the very thing that you were hoping to avoid. And so at that point, the negative side effects of the lift and shift have overwhelmed, the benefits you thought you were going to get. That's when you're lift and shift shot clock has expired. And that's what you want to avoid by continuing to innovate and continuing to refactor towards a true cloud native deployment. >> Yeah, well, again, I thought that the visual was excellent and it's so good to explain, you know, what is the journey we're going through? What are the decision points? You might look through some of these and say, oh, well, you know, these three definitely apply to my business, some of the others I might not be concerned about, but I can take that and apply it to what I'm doing. So that that's the company side of things. You know, Forrest, you're an AWS Serverless Hero, and also in your day job, your company helps people with the training. So let's talk about people. You know, when it comes to, you know, how do we get involved? One of the things I loved about the Serverless community from the early times that I met it, was, it seemed that the bar to enter was relatively low. So many of these things, it's like, ah, well, do I have the basic skill set? Do I understand how to get there? How do I actually get to where I need to be? And that so many people are hesitant to start that journey, cause it just seems so daunting. So what are you seeing out there? You know, give us the landscape in 2020 as to, you know, how we move forward. And I know you've got a project you've been doing called the cloud resume challenge. So, you know, definitely talk a little bit about that too. >> Yeah, for sure. So look, even going beyond 2020, I think the numbers I've heard, we're looking at potentially a hundred million software developers being added to the workforce over the course of the next decade and change. That's a lot of people who are going to have to interact with these services who are going to have to build and create value on top of cloud infrastructure. And so there's a huge need for us to continue to create abstractions and to create guided, you know, best practices and principles that will help people get where they need to be with as little unnecessary work as possible. And really that's a lot of what underlay the Serverless community and the ideas behind that. I've been involved in Serverless for a long time, going back to when I was, you know, building on Serverless inside of large companies early on in that revolution. And I've carried that forward now with my work as an AWS Serverless Hero, even the work that I'm doing at A Cloud Guru. And really the bar to entry, as you mentioned, is so low, because you're cutting out a lot of things that were seen as sort of gate keeping mechanisms in the past. You know, oh, if you haven't learned this underlying protocol or whatever, then you don't qualify as a real developer. Serverless turns out on its head and says, no, I'm providing you with abstractions that you're going to be able to build on top of. And you're going to be able to focus so much more of your energy on things that actually provide value for the business. And yeah, that kind of started as a very leading edge, early adopter thing, but we're seeing more and more even large enterprises. We're seeing that start to click and they're realizing, you know, wherever I can, wherever I'm not potentially constrained by legacy practices or other code bases, I do want to explore, you know, seeing how quickly I can turn a prototype around, how quickly I can A, B, C, D, E, F, G test something if you will, by spinning up these low cost prototypes in the cloud, right on infrastructure, that's just costing me fractions of a cent to run. There's some really, really compelling avenues that even larger businesses can explore. But taking it back to the individual for a second, Think about, you know, I'm in the middle of a global pandemic, okay? And potentially I'm looking for a career switch now more than ever, I'm thinking, you know, I'd like to get into development, I'd like to get into IT. And it's so close to me now. You look at these services out there, like Networkify which you and I were talking about before the break, right? Talking about how easy those technologies make it for someone to get out there and actually we do web development. But you still need someone to kind of step alongside you and say, you know, these are the things you need to care about, these are things that might be irrelevant. There's an explosion, almost like an infodemic, if you will, of information out there that makes it really hard for folks who are trying to actually skill up, and who're trying to make that transition into tech and into code. That's what A Cloud Guru does of course, which is that the company I work for. We've got about 2.2 million learners on our platform right now that we're helping to scale up and take that step toward the modern tech skills that they need to succeed. The cloud resume challenge, which you mentioned is something I've been doing kind of on the side. And that's a project-based approach that compliments a lot of the additional training that I was talking about. Where we say, you know, I'm going to give you a project, it's going to have some sort of spec based steps to it. So you're going to create a resume, but it's going to be deployed, you know, in the cloud, you're going to have to do some source control, some CICD, some, you know, all these other things that are going to be built into a basic DevOps competency. You're going to have to go away and do some Googling and open some tabs, in order to figure this out on your own cause the project doesn't tell you exactly how to do it. So you actually wind up with some kind of some pain. There's some failure involved there, and that of course is what makes the learning stick. And so we've got people working this on every continent now, we've had many people that have completed it, we've seen people get interviewed. We've seen people get hired coming out of a totally non tech background. So that's really exciting. And you know, those stories, aren't going to be unusual forward. We're going to see more and more of this, and really that's what these cloud abstracting technologies have allowed us to do. Probably it wouldn't be possible to do something like the cloud resume challenge 20 years ago, the barrier to entry with, you know, even just procuring the infrastructure you'd need to be successful in a reasonable amount of time, you know, was accessible to everybody, but now we're there. Those services are at your fingertips. You just need a little bit of guidance, a little bit of curation to get you down the right path. >> Well, yeah, it was actually, you know, what excited me when I first met the ACG team was the bar to entry was so low. In previous decades, you talk about, you know, how much time and how much money I needed to spend just to get some of these courses, even if they were online. And it was just order of magnitudes easier and, you know, built for that cloud environment that I can start I can pause, I have learning resources, and it's been really impressive to watch the expansion of the team there. I'm curious, when you look at, you know, certifications out there, when you look at the need for jobs out there, if I'm not, you know, if I'm in the tech industry, what are some of the things that you think that people should be learning moving forward to? Where would you recommend people start looking there? >> Yeah, absolutely. So I think one thing, a lot of people miss is, you know, it's a good idea to get started with technologies that are new, if you're new. Because let's be real, you can't ask for five years of experience in a technology that's only been around for 18 months. So it's really smart to major on something and get good at something that not a lot of people are good at yet. And you say, well, how do I know that technology is going to take off and succeed? Well, the fact of the matter is even if that specific technology doesn't, you still have a much greater understanding of the problem space, and you'll be right at the cutting edge, ready to jump in on, you know, whatever the next thing is. So I always recommend that people look at things like Serverless and the managed services that are coming out. Get really good at automating, you know, services on the major cloud providers pick AWS, Azure, GCP, right? And just make that your thing, don't specialize in too niche of an area, you know, especially if you're very new, but especially pick a cloud provider, get good at working with the basic services, you'll find that that sets you apart more than, for example, I don't know, going after a certification that's been around for 20 years, that tons and tons of people in the job market have, right? That doesn't necessarily set you apart as much as some of these modern skills do. So I definitely recommend that. >> Yeah, it's funny for us, actually, I laugh a little bit. You mentioned that you've been doing Serverless for a long time, and I'm like, well, okay, I remember sitting in the audience at 80 bus Re-invent when Lambda was unveiled, I think it was re:Invent 2014. So, you know, there's nobody out there that's been, "Oh, I've been doing this for a decade." We always laugh, when there's a job applications out there and say, oh, okay, you know, I want 10 years of a technology that's been around for five years. But yeah, maybe there's one other, a cartoon that you brought along talking about the difference between transition cloud, excuse me, cloud translation and cloud fluency. Maybe just walk through that difference. And especially people that have been in the industry for awhile, how do we make sure that we're actually embracing and understanding and moving to that cloud world, not just, you know, cloud washing? >> Yeah, that's a good word. You know, something that struck me, I think a bit of an epiphany that I had around the time that I started at A Cloud Guru and keep in mind, I'm coming out of years of having worked with these large organizations and try and help them figure out how to migrate to cloud. And what I had seen is there's a lot of these kind of central cloud teams, if you will, that get established right at the beginning of an organization's cloud adoption. And that's a well known pattern, you know, this "cloud center of excellence", if you will, that people establish. A lot of times, those are small teams. You take your best cloud people and you say, okay, you define the standards and the processes that are going to get us to cloud, and they do that. And then they're shocked when nobody adopts the standards, right? And the migration sort of stalls, and they're not having the impact that they expected to have. And what turns out is going on is just having that small group of people who understands cloud, surrounded by this huge legacy, diaspora of legacy, you know, product and engineering teams that don't speak the language of cloud, if you will. Means that anytime you want to innovate, or anytime you want to make a move, you've got to go through this process of translation. You've got to go to those legacy teams who were saying, what's EC2 instance again? You know, how do you spell S3? I thought that I wanted to log into the AWS Console, but this access and secret key, isn't going into my password box, right? You know, they have that low level of competency. And so you're constantly having to explain everything you're going back and forth, and that of course leads to kind of less sophisticated architectures that leads to poor outcomes, and it takes you much longer to get where you want to go. That's that process of cloud translation. That's an anti-pattern. So instead of that, what we try to advocate for is what we call cloud fluency. Just like with any other language you want your entire organization as much as possible to speak the language of cloud at some baseline level. We do that through a couple of things. Of course, obviously through training and certification, cloud certifications can be a great proxy to measure how well your organization's cloud competency is improving. But also through taking those cloud experts, those central experts that previously were kind of in their ivory tower doing their own thing and embed them as much as you can in a roving fashion with these legacy product teams and help them to improve, right? Sort of teach them to fish so that you're not putting all the weight on that central team to be the only experts. Because that doesn't scale, those people are going to burn out. They're going to get overwhelmed with support tickets, we see that over and over again. So you want to empower those teams. And we want to actually talk a little bit less about a cloud center of excellence sometimes, and a little more about a cloud center of enablement, right? Where we want to, instead of knowing the most about cloud, we want to show the most about cloud to those other teams. That's a sustainable pattern for success. That's what we try to do through A Cloud Guru, and that's what I try to advocate for individually, wherever I can, because I've seen people burnt out. I don't want that to happen. >> Yeah, for those of us that have been through a few of these waves here, it's something that you're right, you need to actually be involved in embracing these technologies. You don't have a center for internet usage anymore. If you think about, you know, everybody now for the most part has used the internet, understand some of pieces, it needs to be the same way when it comes to cloud. It just becomes the underlying substrate and, you know, bring forward the innovation and agility that people are looking for. All right, Forrest, last thing we talked about, you've got a book coming out a little bit later this year, The Read Aloud Cloud, give us the quick thing, you know, love, it's visual, is very accessible and definitely looking forward to hearing about that. >> Yes, yes, exciting. So it'll be out in September from Wiley. And basically you've seen a couple of the cartoons over the course of this time here. But, you know, I've been drawing for a long time trying to help people get a sense for what the cloud is and in a way that they can understand and get a grasp on. And so what The Read Aloud Cloud is, it's the history and practice of cloud computing. And it takes you from the mainframe days through artificial intelligence. And along the way, we talk about the basics of cloud architecture, we talk about security, We talk about resilience and all those important things. But it's written and drawn in a way that can be accessible even to a nontechnical person. So the person who's never been able to understand what it is that you do. And I include, you know, potentially your CEO in that conversation, right? This is a book you can hand to them that you can put on your desk, it'll give you a chuckle. But I think there's actually some really strong ability for you to gain actually a concrete visual understanding those really abstract terminologies that float around with cloud. Again, what we're doing is not necessarily complicated, it's just really abstract, it's really arcane. So let's put it in a format where we can get our heads around and hopefully have a good laugh while we're doing it. That's what The Read Aloud Cloud is, and you can check that out, wherever books are sold. >> All right, well Forrest Brazeal. Thank you so much for joining us, real pleasure talking with you. And absolutely we need to make sure that "cloud" becomes as ubiquitous as computers and the internet have before us. Really pleasure chatting with you, thanks so much for joining. >> Awesome, thanks so much Stu, it's great to be here. All right, and I'm Stu Miniman, looking forward to hearing more about your Cloud Native Insights. (bright upbeat music)

>>Welcome back to the cubes coverage of Couchbase connect online, where the theme of the event is, or is modernized now. Yes, let's talk about that. And with me is Ravi, who's the senior vice president of engineering and the CTO at Couchbase Ravi. Welcome. Great to see you. >>Thank you so much. I'm so glad to be here with you. >>I asked you what the new requirements are around modern applications. I've seen some, you know, some of your comments, you gotta be flexible, distributed, multimodal, mobile edge. It, that those are all the very cool sort of buzz words, smart applications. What does that all mean? And how do you put that into a product and make it real? >>Yeah, I think what has basically happened is that, uh, so far, uh, it's been a transition of sorts. And now we are come to a point where, uh, the tipping point and the tipping point has been, uh, uh, more because of COVID and there COVID has pushed us to a world where we are living, uh, in a sort of, uh, occasionally connected manner where our digital, uh, interactions, precede our physical interactions in one sense. So it's a world where we do a lot more stuff that's less than, uh, in a digital manner, as opposed to sort of making a more specific human contact that has really been the, uh, sort of accelerant to this modernized. Now, as a team in this process, what has happened is that so far all the databases and all the data infrastructure that we have built historically, are all very centralized. >>They're all sitting behind. Uh, they used to be in mainframes from where they came to like your own data centers, where we used to run hundreds of servers to where they're going now, which is the computing marvelous change to consumption-based computing, which is all cloud oriented now. And so, uh, but they are all centralized still. Uh, but where our engagement happens with the data is, uh, at the edge, uh, at your point of convenience at your point of consumption, not where the data is actually sitting. So this has led to, uh, you know, all those buzzwords, as you said, which is like, oh, well we need a distributed data infrastructure, where is the edge? Uh, but it just basically comes down to the fact that the data needs to be where you are engaging with it. And that means if you are doing it on your mobile phone, or if you are sitting, uh, doing something in your body or traveling, or whether you are in a subway, whether you're in a plane or a ship, wherever the data needs to come to you, uh, and be available as opposed to every time you going to the data, which is centrally sitting in some place. >>And that is the fundamental shift in terms of how the modern architecture needs to think, uh, when they, when it comes to digital transformation and, uh, transitioning their old applications to, uh, the, the modern infrastructure, because that's, what's going to define your customer experiences and your personalized experiences. Uh, otherwise people are basically waiting for that circle of death that we all know, uh, and blaming the networks and other pieces. The problem is actually, the data is not where you are engaging with. It has got to be fetched, you know, seven seas away. Um, and that is the problem that we are basically solving in this modern modernization of that data, data infrastructure. >>I love this conversation and I love the fact that there's a technical person that can kind of educate us on, on this, because date data by its very nature is distributed. It's always been distributed, but w w but distributed database has always been incredibly challenging, whether it was a global SIS Plex or an eventual consistency of getting recovery for a distributed architecture has been extremely difficult. You know, I hate that this is a terrible term, lots of ways to skin a cat, but, but you've been the visionary behind this notion of optionality, how to solve technical problems in different ways. So how do you solve that, that problem of, of, of, uh, of, uh, of a super rock solid database that can handle, you know, distributed data? Yes. >>So there are two issues that you're a little too over there with Forrest is the optionality piece of it, which is that same data that you have that requires different types of processing on it. It's almost like fractional distillation. It is, uh, like your crude flowing through the system. You start all over from petrol and you can end up with Vaseline and rayon on the other end, but the raw material, that's our data in one sense. So far, we never treated the data that way. That's part of the problem. It has always been very purpose built and cast first problem. And so you just basically have to recast it every time we want to look at the data. The first thing that we have done is make data that fluid. So when you're actually, uh, when you have the data, you can first look at it to perform. >>Let's say a simple operation that we call as a key value store operation. Given my ID, give him a password kind of scenarios, which is like, you know, there are customers of ours who have billions of user IDs in their management. So things get slower. How do you make it fast and easily available? Log-in should not take more than five minutes. Again, this is a, there's a class of problem that we solve that same data. Now, eventually, without you ever having to, uh, sort of do a casting it to a different database, you can now do a solid, uh, acquire. These are classic sequel queries, which is our next magic. We are a no SQL database, but we have a full functional sequel. The sequel has been the language that has talked to data for 40 odd years successfully. Every other database has come and try to implement their own QL query language, but they've all failed only sequel as which stood the test of time of 40 odd years. >>Why? Because there's a solid mathematics behind it. It's called a relational calculus. And what that helps you is, is, uh, basically, uh, look at the data and any common tutorial, uh, any, uh, any which way you look at the data. All it will come, uh, the data in a format that you can consume. That's the guarantee sort of gives you in one sense. And because of that, you can now do some really complex in the database signs, what we call us, predicate logic on top of that. And that gives you the ability to do the classic relational type queries, select star from where Canada stuff, because it's at an English level, it becomes easy to, so the same data, you didn't have to go move it to another database, do your, uh, sort of transformation of the data and all this stuff. Same day that you do this. >>Now, that's where the optionality comes in. Now you can do another piece of logic on top of this, which we call search. This is built on this concept of inverted index and TF IDF, the classic Google in a very simple terms, but Google tokenized search, you can do that in the same data without you ever having to move the data to a different format. And then on top of it, they can do what is known as a eventing or your own custom logic, which we all which we do on a, on programming language called Java script. And finally analytics and analytics is the ability to query the operational data in a different way. I'll talk budding. What was my sales of this widget year over year on December 1st week, that's a very complex question to ask, and it takes a lot of different types of processing. >>So these are different types of that's optionality with different types of processing on the same data without you having to go to five different systems without you having to recast the data in five different ways and find different application logic. So you put them in one place. Now is your second question. Now this has got to be distributed and made available in multiple cloud in your data center, all the way to the edge, which is the operational side of the, uh, the database management system. And that's where the distributed, uh, platform that we have built enables us to get it to where you need the data to be, you know, in a classic way, we call it CDN in the data as in like content delivery networks. So far do static, uh, uh, sort of moving of static content to the edges. Now we can actually dynamically move the data. Now imagine the richness of applications you can develop. >>The first part of the, the answer to my question, are you saying you could do this without skiing with a no schema on, right? And then you can apply those techniques. >>Uh, fantastic question. Yes. That's the brilliance of this database is that so far classically databases have always demanded that you first define a schema before you can write a single byte of data. Couchbase is one of the rare databases. I, for one don't know any other one, but there could be, let's give the benefit of doubt. It's a database which writes data first and then late binds to schema as we call it. It's a schema on read things. So because there is no schema, it is just a on document that is sitting inside. And Jason is the lingua franca of the web, as you very well know by now. So it just Jason that we manage, you can do key lookups of the Jason. You can do full credit capability, like a classic relational database. We even have cost-based optimizers and the other sophisticated pieces of technology behind it. >>You can do searching on it, using the, um, the full textual analysis pipeline. You can do ad hoc wedding on the analytic side, and you can write your own custom logic on it using our eventing capabilities. So that's, that's what it allows because we keep the data in the native form of Jason. It's not a data structure or a data schema imposed by a database. It is how the data is produced. And on top of it, we bring different types of logic, five different types of it's like the philosophy is bringing logic to data as opposed to moving data to logic. This is what we have been doing, uh, in the last 40 years because we developed various, uh, database systems and data processing systems of various points. In time in our history, we had key value stores. We had relational systems, we had search systems, we had analytical systems. >>We had queuing systems, all the systems, if you want to use any one of them, our answer has always been, just move the data to that system. Versus we are saying that do not move the data as we get bigger and bigger and data just moving this data is going to be a humongous problem. If you're going to be moving petabytes of data for this is not one to fly instead, bring the logic to the data. So you can now apply different types of logic to the data. I think that's what, in one sense, the optionality piece of this, >>As you know, there's plenty of schema-less data stores. They're just, they're called data swamps. I mean, that's what they, that's what they became, right? I mean, so this is some, some interesting magic that you're applying here. >>Yes. I mean, the one problem with the data swamps as you call them is that that was a little too open-ended because the data format itself could change. And then you do your, then everything became like a game data casting because it required you to have it in seven schema in one sense at the end of the day, for certain types of processing. So in that where a lot of gaps it's probably flooded, but it not really, uh, how do you say, um, keep to the promise that it actually meant to be? So that's why it was a swamp I need, because it was fundamentally not managing the data. The data was sitting in some file system, and then you are doing something, this is a classic database where the data is managed and you create indexes to manage it, and you create different types of indexes to manage it. You distribute the index, you distribute the data you have, um, like we were discussing, you have acid semantics on top of, and when you, when you put all these things together, uh, it's, it's, it's a tough proposition, but they have solved some really tough problems, which are good computer science stuff, computer science problems that we have to solve to bring this, to bring this, to bear, to bring this to the market. >>So you predicted the trend around multimodal and converged, uh, databases. Um, you kind of led Couchbase through that. I want to, I always ask this question because it's clearly a trend in the industry and it, it definitely makes sense from a simplification standpoint. And, and, and so that I don't have to keep switching databases or the flip side of that though, Ravi. And I wonder if you could give me your opinion on this is kind of the right tool for the right job. So I often say isn't that the Swiss army knife approach, we have a little teeny scissors and a knife. That's not that sharp. How do you respond to that? Uh, >>A great one. Um, my answer is always, I use another analogy to tackle that, but is that, have you ever accused a smartphone of being a Swiss army knife? No. No. Nobody does that because it's actually 40 functions in one is what a smartphone becomes. You never call your iPhone or your Android phone, a Swiss army knife, because here's the reason is that you can use that same device in the full capacity. That's what optionality is. It's not, I'm not, it's not like your good old one where there's a keyboard hiding half the screen, and you can do everything only through the keyboard without touching and stuff like that. That's not the whole devices available to you to do one type of processing when you want it. When you're done with that, it can do another completely different types of processing. Like as in a moment, it could be a Tom, Tom telling you all the directions, the next one, it's your PDA. >>Third one, it's a fantastic phone. Uh, four, it's a beautiful camera, which can do your f-stop management and give you a nice SLR quality picture. Right? So next moment is a video camera. People are shooting movies with this thing in Hollywood, these days for God's sake. So it gives you the full power of what you want to do when you want it. And now, if you just taught that iPhone is a great device or any smartphone is a great device, because you can do five things in one or 50 things in one, and at a certain level, they missed the point because what that device really enabled is not just these five things in one place. It becomes easy to consume and easy to operate. It actually started the app is the economy. That's the brilliance of bringing so many things in one place, because in the morning, you know, I get the alert saying that today you got to leave home at eight 15 for your nine o'clock meeting. >>And the next day it might actually say 8 45 is good enough because it knows where the phone is sitting. The geo position of it. It knows from my calendar where the meeting is actually happening. It can do a traffic calculation because it's got my map and all of the routes. And then it's gone there's notification system, which eventually pops up on my phone to say, Hey, you got to leave at this time. Now five different systems have to come together and they can because the data is in one place without that, you couldn't even do this simple function, uh, in a, in a sort of predictable manner in a, in a, in a manner that's useful to you. So I believe a database which gives you this optionality of doing multiple data processing on the same set of data allows you will allow you to build a class of products, which you are so far been able to struggling to build, because half the time you're running sideline to sideline, just, you know, um, integrating data from one system to the other. >>So I love the analogy with the smartphone. I w I want to, I want to continue it and double click on it. So I use this camera. I used to, you know, my kid had a game. I would bring the, the, the big camera, the 35 millimeter. So I don't use that anymore no way, but my wife does, she still uses the DSLR. So is, is there a similar analogy here? That those, and by the way, the camera, the camera shop in my town went out of business, you know? And so, so, but, but is there, is that a fair, where, in other words, those specialized databases, they say there still is a place for them, but they're getting >>Absolutely, absolutely great analogy and a great extension to the question. That's, that's the contrarian side of it in one sense is that, Hey, if everything can just be done in one, do you have a need for the other things? I mean, you gave a camera example where it is sort of, it's a, it's a slippery slope. Let me give you another one, which is actually less straight to the point better. I've been just because my, I, I listened to half of the music on the iPhone. Doesn't stop me from having my full digital receiver. And, you know, my Harman Kardon speakers at home because they haven't, they produce a kind of sounded immersive experience. This teeny little speaker has never in its lifetime intended to produce, right? It's the convenience. Yes. It's the convenience of convergence that I can put my earphones on and listen to all the great music. >>Yes, it's 90% there or 80% there. It depends on your audio file mess of your, uh, I mean, you don't experience the super specialized ones do not go away. You know, there are, there are places where, uh, the specialized use cases will demand a separate system to exist, but even there that has got to be very closed. Um, how do you say close, binding or late binding? I should be able to stream that song from my phone to that receiver so I can get it from those speakers. You can say that, oh, there's a digital divide between these two things done, and I can only play CDs on that one. That's not how it's going to work going forward. It's going to be, this is the connected world, right? As in, if I'm listening to the song in my car and then step off the car and walk into my living room, that's same songs should continue and play in my living room speakers. Then it's a world because it knows my preference and what I'm doing that all happened only because of this data flowing between all these systems. >>I love, I love that example too. When I was a kid, we used to go to Twitter, et cetera. And we'd to play around with, we take off the big four foot speakers. Those stores are out of business too. Absolutely. Um, now we just plug into Sonos. So that is the debate between relational and non-relational databases over Ravi. >>I believe so. Uh, because I think, uh, what had happened was the relational systems. Uh, I've been where the norm, they rule the roost, if you will, for the last 40 odd years, and then gain this no sequel movement, which was almost as though a rebellion from the relational world, we all inhibited, uh, uh, because we, it was very restrictive. It, it had the schema definition and the schema evolution as we call it, all those things, they were like, they required a committee, they required your DBA and your data architect. And you have to call them just to add one column and stuff like that. And the world had moved on. This was the world of blogs and tweets and, uh, you know, um, mashups and, um, uh, uh, a different generation of digital behavior, digital, native people now, um, who are operating in these and the, the applications, the, the consumer facing applications. >>We are living in this world. And yet the enterprise ones were still living in the, um, in the other, the other side of the divide. So all came this solution to say that we don't need SQL. Actually, the problem was never sequel. No sequel was, you know, best approximation, good marketing name, but from a technologist perspective, the problem was never the query language, no SQL was not the problem, the schema limitations, and the inability for these, the system to scale, the relational systems were built like, uh, airplanes, which is that if, uh, San Francisco Boston, there is a flight route, it's so popular that if you want to add 50 more seats to it, the only way you can do that is to go back to Boeing and ask them to get you a set in from 7 3 7 2 7 7 7, or whatever it is. And they'll stick you with a billion dollar bill on the alarm to somehow pay that by, you know, either flying more people or raising the rates or whatever you have to do. >>These are called vertically scaling systems. So relational systems are vertically scaling. They are expensive. Versus what we have done in this modern world, uh, is make the system how it is only scaling, which is more like the same thing. If it's a train that is going from San Francisco to Boston, you need 50 more people be my guests. I'll add one more coach to it, one more car to it. And the better part of the way we have done this year is that, and we have super specialized on that. This route actually requires three, three dining cars and only 10 sort of sleeper cars or whatever. Then just pick those and attach the next route. You can choose to have ID only one dining car. That's good enough. So the way you scale the plane is also can be customized based on the route along the route, more, more dining capabilities, shorter route, not an abandoned capability. >>You can attach the kind of coaches we call this multi-dimensional scaling. Not only do we scale horizontally, we can scale to different types of workloads by adding different types of coaches to it quite. So that's the beauty of this architecture. Now, why is that important? Is that where we land eventually is the ability to do operational and analytical in the same place. This is another thing which doesn't happen in the past, because you would say that I cannot run this analytical Barre because then my operational workload will suffer. Then my friend, then we'll slow down millions of customers that impacted that problem. We will solve the same data in which you can do analytical buddy, an operational query because they're separated by these cars, right? As in like we, we fence the, the, the resources, so that one doesn't impede the other. So you can, at the same time, have a microsecond 10 million ops per second, happening of a key value or equity. >>And then yet you can run this analytical body, which will take a couple of minutes to run one, not impeding the other. So that's in one sense, sort of the, part of the, um, uh, problems that we have solved here is that relational versus, uh, uh, the no SQL portion of it. These are the kinds of problems we have to solve. We solve those. And then we yet put back the same quality language on top. Y it's like Tesla in one sense, right underneath the surface is where all the stuff that had to be changed had to change, which is like the gasoline, uh, the internal combustion engine, uh, I think gas, uh, you says, these are the issues we really wanted to solve. Um, so solve that, change the engine out, you don't need to change the steering wheel or the gas pedal or the, you know, the battle shifters or whatever else you need, or that are for your shifters. >>Those need to remain in the same place. Otherwise people won't buy it. Otherwise it does not even look like a car to people. So, uh, even when you feed people the most advanced technology, it's got to be accessible to them in the manner that people can consume. Only in software, we forget this first design principle, and we go and say that, well, I got a car here, you got the blue harder to go fast and lean back for, for it to, you know, uh, to apply a break that's, that's how we seem to define, uh, design software. Instead, we should be designing them in a manner that it is easiest for our audience, which is developers to consume. And they've been using SQL for 40 years or 30 years. And so we give them the steering wheel on the, uh, and the gas bottle and the, um, and the gear shifter is by putting cul back on underneath the surface, we have completely solved, uh, the relational, uh, uh, limitations of schema, as well as scalability. >>So in, in, in that way, and by bringing back the classic acid capabilities, which is what relational systems, uh, we accounted on and being able to do that with the sequel programming language, we call it like multi-state SQL transaction. So to say, which is what a classic way all the enterprise software was built by putting that back. Now, I can say that that debate between relational and non-relational is over because this has truly extended the database to solve the problems that the relational systems had to grow up the salt in the modern times, but rather than get, um, sort of pedantic about whether it's, we have no SQL or sequel or new sequel, or, uh, you know, any of that sort of, uh, jargon, oriented debate, uh, this, these are the debates of computer science that they are actually, uh, and they were the solve and they have solved them with, uh, the latest release of $7, which we released a few months ago. >>Right, right. Last July, Ravi, we got to leave it there. I, I love the examples and the analogies. I can't wait to be face to face with you. I want to hang with you at the cocktail party because I've learned so much and really appreciate your time. Thanks for coming to the cube. >>Fantastic. Thanks for the time. And the Aboriginal Dan was, I mean, very insightful questions really appreciate it. Thank you. >>Okay. This is Dave Volante. We're covering Couchbase connect online, keep it right there for more great content on the cube.

(upbeat music) >> theCUBE's back on day three here in Cloud City Mobile World Congress. This is where all the action is, and this is theCUBE set. I'm John Furrier with Dave Vellante. We're here with DR, Danielle Royston, who is the CEO of TelcoDR, as well as the CEO of Totogi. Great to see you again. >> Hey. >> Hey, how are you guys? >> Good. >> Great time, great boat last night, good industry executives. A lot of intimate high player, big players here in the industry, even though not a lot of attendance, but the right people are here and events are back. >> Yeah. Yeah. I think, MWC was the first event to cancel with COVID in February, end of February 2020. So first big event to come back. It's such a nice symmetry. Yeah. Typically you have big delegations, hundreds of people from the big groups coming to the show. We're seeing the executives are coming, smaller delegations, but they're all in the booth and that we're having great conversations and it's awesome. >> Yeah, and the thing I will say is that theCUBE's back too. We'd like them to be, be in here in the action, because one of the things that's happened with this hybrid events is that people are watching. And so there's a virtual space and the physical space and Cloud City has built out paradise. It's beautiful and spectacular behind us. If you look around, for the people who can't see, it's really made for the combination of on-site and virtual experience, the content, the people, Bon Jovi last night, it's just the top of Mobile World Congress and it's translating to the industry. This has been amazing. So congratulations. >> Thank you so much. >> Well. I got to say, you have a lot to say as we all know. >> Danielle: Yeah. >> But I think it was easy for the big guys. >> Danielle: Can't shut me up. (laughing) >> That's why we love you in theCUBE. But I think it was easy for the big guys to tap out and say, hey, we can save a bunch more money. >> Danielle: Yeah. >> We don't really have much to talk about. We're going to talk about it again. Hey, let's talk about 5G. >> Yeah, yeah, exactly. >> 5G's coming. >> It's the revolution. >> And I told you about 5G though. >> Whereas the narrative here is all about the future. And it's not about the future of blah blah blah, it's about the future of, this is the journey that we're taking and here's where it's starting and with the meat in the bone. >> Yeah. And I think what's really interesting about Cloud City is the fact that we've brought these different players together that are all focused, as you said, on the future. And I'm starting to see these connections where they're collaborating. Vendors that didn't know each other probably would never have partnered before. Totally different areas. I'm hearing the conversation in the booth about like, hey, I talked to P1 security, or I went and talked to LMX and we're putting deals together 'cause we're complimentary. And it's amazing and so that's really good. >> And the integration partnership, heard that from Google yesterday on our news exclusive break in there. They see integration and they're talking about Android, with what Android did for mobile. They're seeing a whole new software paradigm coming into telco. Its partnership, its ecosystem and open. These are new kind of dynamics. >> And I think for you guys, when you say integration and open, I think those things are really paired and they're important. A lot of times Telco people will hear integration, and they'll think customization. Coding it up and customizing it so that they talk to each other. But I think the open part of that is really important where we're connecting via APIs. And I think that's bringing the hyperscalers. That's what they do. They provide these systems and the software that's all API based and you can use it very quickly and you can unravel it if you need to. And it's that feature velocity, we talked about a couple days ago. >> And automation is the underpinning. >> Yeah, yeah. >> I mean, that's really the theme, right? >> Right. >> It's not like a one-off hardcore custom integration that's going to be frozen. >> One time to upgrade it every 18 months or whatever it is. Yeah, it's a life. >> Dave: How about Musk yesterday? >> John: I mean, he's always a crowd pleaser. First of all, my kids love him. He's crazy. >> Who doesn't love Elon Musk? >> I mean, he is amazing. He's a builder and he takes no prisoners. He's just, you know what, my goal was not to go bankrupt. That's what he said a couple of years ago. >> Dave: Which was brilliant because everybody's gone bankrupt in that business and he's just close it off. >> And he's just like, look, we're here, we're just going to chip away at it and we're just going to keep striving, not making up excuses. He takes the failures. He takes the phase plans. He gets back up and he keeps going. He's focused on building. >> He's focused on one thing. He's not focused on everything. He's focused on getting to Mars. And I think that's what I like to compare myself to Elon Musk. Not that I'm building rockets or getting to Mars, but that the hard problem that I'm solving is getting Telco to the public cloud and that's going to take a decade. It might have been accelerated because of COVID, it might've taken 20 years and now it might take 10. But you look at what he does, and that guy, he has haters on Twitter that are pew- pew. Always like, throw in their bars, but he's like, I got my rocket company. I got my communication and space company. We're going to need the bore holes, the Boring Company. I need batteries, I got my Tesla company. And so this guy focuses. >> He's got some haters, but he's got a lot more lovers on his other side because people might not know this, but he fired the entire PR department because he's like, I don't need PR. I'm just going to go do my own, his own PR. >> Obviously, the crypto stuff's always fun. Doge coins, always a laugh. >> Danielle: I think he just plays around with that. >> And it's just more of like playing. >> Yeah, that's a watch this. >> He just likes to see what he can do. >> Doge coins app. That Saturday Night Live was an interesting thing he did, but I think he illustrates the point of a new generation. And I think my young kids, not young, they're in their twenties now. They look at him and they say, that's aspirational because he's building and he's focused on that one thing. And again, the growth that you mentioned Telco to the cloud, getting back to that is that, I want to ask you this growth question. It used to be like, okay, growth was there, people expanded cell towers, networks were networks. Now it seems that the growth of Telco, with Telco is going into, with the edge and all the open-RAN stuff, which means we need more infrastructure. >> Danielle: Yeah. >> We need more stuff. There's more needed and there's growth behind them. What's your reaction? >> I think we need more software. Software eats the world. And it's, I mean, there's a lot of hardware to chomp in Telco and it's just going to keep eating it and that's just going to accelerate. I think that's where Telco needs to start to build that muscle. They don't have great software capability. They don't have public cloud building capability. And so that's a big up-skilling. That's a new hiring. And I think it's an executive conversation. It's not just an IT thing or just a marketing thing or networking thing. >> I got to chime in here for a second because there are a lot of parallels with how the data center transition has occurred. And what's happening here. We talk about all the time. It was a mainframe, et cetera. There are parallels. >> Danielle: Yeah, yeah. >> And what happened when the data center went to software-defined a whole bunch of hardware was allocated to run all the software-defined stuff. It wasn't built for that. >> Danielle: Yeah. >> But the cloud, what you guys are doing with Totogi and taking advantage of AWS's is Nitro and Graviton. That's built to be software-defined. >> Correct. >> And so the Telcos are going to go through the same thing. If they just virtualize, they're going to say, oh wow, we're wasting 30% of our power, our compute power on just supporting all this software-defined stuff, because it wasn't built for that, but the cloud is built for that. >> Danielle: Yeah. >> And that is going to be a huge difference. >> And I keep trying to make this distinction. And I think people in Telco still don't get this about the public cloud. They think of it as a place. It's a place to run a workload. And that tells me, they think of it as infrastructure. They think of it as servers still like, well, I'm going to run into my closet or AWS's closet. I'm like, and I was just having a conversation about this with this senior person from GSMA. I'm like, it's actually about the software that's there. It's about the databases they're building and the analytics and the AI and the ML but they let you buy by the minutes or by the API call. And that is my, like you need to think about that because it's mind-blowing. It's a totally different way to think. >> And you're totally right. I'm just going to, again, give you props on this. I've had many one-on-one with Andy Jassy for the past seven years for exclusives, but over the years it's been consistent. Each platform lifting and shift wasn't the end game. Okay. Replatforming in the cloud, certainly a great advantage, a great starting point. It was the refactoring. And that's why you see Amazon Web Services, for instance, keep adding more services 'cause that's the model. >> Danielle: Yeah. >> They keep offering more goodness so that the businesses could refactor, not just replatform. >> Danielle: Yeah. >> And that's what you're getting at. I think with the AI and machine learning, where you start getting into these new use cases, but why I couldn't do that before. >> Danielle: Right, right. >> This is going to be a huge game changer. >> Well, Forrest Brazeal. A great guy, a cloud guru wrote a great blog called a lift-and-shift is a ticking time bomb. And it's a great start to get your stuff over there. It forces your team to start to interact with like an AWS or GCP in a real way. Like now they, they got to use it. You take it away and I'm like, but once you move it, you got to re-factor. You got to rewrite. And then that's why it's a ticking time bomb. You got to get, move it over and get going. >> Danielle Royston, DR, Digital Revolution of you are one. You got it here, Telco DR. And this has been a great experience for theCUBE, as we get back to business with real life events and virtual. For the folks who couldn't make it here, Barcelona is still a great city. Obviously a great place to come and the events will be back. They'll be hybrid. They'll be different. Certainly, theCUBE will wait double them down, but, we've got a great video. I want to share for the group, the Barcelona and Cloud City. This is a montage of what it's like here and a little experiential video. So take it away and run that video. (upbeat techno music) >> Hi, I'm Katie Goldfinch, here in Barcelona for an action packed Day Two at TelcoDR's Cloud City. This morning, the focus was firmly on DR. and her MWC keynote, which told Telco execs in no uncertain terms that now is the time to act on embracing public cloud. Back in Cloud City content ruled the day with both theCUBE and Cloud City live stages, hosting public cloud, thought-leaders covering a wide range of topics to educate and inspire attendees. And in the beautiful space of Cloud City, the excitement grew throughout the day as we streamed MWC's exclusive keynotes from Elon Musk and preparations got underway for tonight's star performer, Jon Bon Jovi. (upbeat techno music) Wow! What an amazing day from groundbreaking keynotes into space and back to a star studded performance. Don't forget, you can catch up on anything you missed and join us for the rest of the week at cloudcity.telcodr.com or following #cloudcity. (upbeat techno music) >> Okay, we're back. That was great look at what's going on here in Cloud City. This next video, DR, you're going to love this. Your keynote highlights and some Bon Jovi highlights, which by the way, was the most epic thing. People were packed. >> Dave: It was exciting. >> Place was packed. It had the security clicking people, counting all the people, people are standing back. All the people from their booths are all coming in to watch. >> Dave: He was pumped. >> Let's take a look at this awesome highlight video from yesterday. (upbeat techno music) (upbeat techno music) >> Okay, we're back at theCUBE. Dave, that was a highlight reel yesterday. DR has got some action on stage, great messaging, revolution, digital revolution. >> You know your comment about how you think like Elon Musk. That's an inspiration from it. I mean, what a lot of people don't know is when you look at autonomous vehicles, remember you're driving down Palo Alto, you see one of those lidar things. He's doing away with lidars, it's too expensive. It's $7,000. He's taking it with cheap cameras and software down to a couple of hundred bucks per vehicle. >> Danielle: Wow. >> That's the way he thinks. And you're doing the same thing to Telco. >> Danielle: I am. I am I'm trying to change Telco. I mean, he's changing the world. He might be one of the most important humans on Earth right now. I don't think I'm exactly that level, but I'm trying to become a really important person in Telco. We have this great message. I think it's going to help Telcos to get better businesses. And I think it's a great idea. >> For the folks out there watching, what is that big change? If you're going to drive down this Cloud City street, main street of Cloud City and just all about Cloud. Because public clouds here, it's going to become hybrid, dynamics, operating models are changing. What is the key message that you'd like to send? >> I think all of the software in Telco needs to be rewritten. And that's how many millions of lines of code is that? And it's going to be shrunk down and put out on public cloud and rewritten using the software Legos of the public cloud. That is a big undertaking. No one's working on it. I'm working on it. I'm doing it. Let's go do it. >> Let's do it. And if you look out a couple of years, what would be a successful, what does checkmate look like in this chess game? >> I'm winning? #winning >> You're opening move is pretty good as we say in chess. >> I mean, I think it, it takes, again, it takes singular focus like Elon Musk on Mars. Someone needs to singularly focus on getting the public cloud and you can't sit there and protect your old business models, your CR revenue, if you're Amdocs. Give that up. When they start to give up their CR revenue to focus on public cloud, then they'll be, okay, there's a worthy adversary out there really focusing on it. >> I mean the late Clayton Christensen had all the same things. Innovator's dilemma. You get stuck here, what do you do? >> Danielle: What do you do? >> You kill your own, you eat your own to bring in the new, I mean, all these things are going on. This is a huge test. >> And to be willing to burn some boats. >> I think it's transparency, simplicity, and the consumer saying, hey, this is a great experience. That's the Tel sign. >> Danielle: Yeah. >> And that's what we're going to see over this next decade. >> Plus consumers love their Telco. I can't wait for that. I want to love my Telco. >> Dave: Like you love Netflix. >> Yes, exactly. >> DR, we love you because you've got a bold vision. You're putting it out there and you're driving it. You're walking the talk. Congratulations. And again, Cloud City's a home run. >> Awesome. >> Great success. Thanks for having theCUBE. >> Thank you guys. As always super fun. Great day. >> Okay. >> CUBE's coverage here. And remember, we're here getting all the action and it's all going to go online after a synchronous consumption. But right now, it's all about Mobile World Congress and Cloud City. This is the action. And of course, Adam in Cloud City Studio is waiting for us and he's going to take it from here.

(soft upbeat music) >> TheCUBE's back on day three here in Cloud City, Mobile World Congress. This is where all the action is and this is theCUBE's set, I'm John with Dave Vellante. We're here with DR, Danielle Royston, who is the CEO of TelcoDR, as well as the CEO of Totogi. Great to see you again. >> Hey. >> Hey, how are you guys? >> Good >> Great time, great booth last night, good industry executives. A lot of intimate high player, big players here in the industry, even though not a lot of attendance, but the right people are here and events are back. >> Yeah. I think, MWC was the first event to cancel with COVID in end of February 2020. So first big event to come back, it's such a nice symmetry. Typically you have big delegations, hundreds of people from the big groups coming to the show. We're seeing the executives are coming, smaller delegations, but they're all in the booth and that we're having great conversations and it's awesome. >> Yeah. And the thing I will say is that theCUBE's back too we'd like them to be in here in the action, because one of the things that's happened with this hybrid events is that people are watching. And so there's a virtual space and the physical space, and Cloud City has built out paradise, it's beautiful and spectacular behind us. If you look around for the people who can't see, it's really made for the combination of onsite and virtual experience. The content, the people Bon Jovi last night, it's just the top of Mobile World Congress. And it's translating to the industry, this has been amazing. So congratulations. >> Danielle: Thanks so much. >> Dave: I think I got to say, you have a lot to say as we all know. But I think it was easy for the big guys. >> Danielle: Can't Shut me up. (chuckles) >> That's why we love you in theCUBE. But I think it was easy for the big guys to tap out and say, Hey, we're going to save a bunch more money, we don't really have much to talk about. We're going to talk about again. Hey, let's talk about 5G. (chuckles) >> It's a revolution >> Have I told you about 5G though. >> Whereas the narrative here is all about the future and it's not about the future of blah-blah-blah, it's about the future, this is the journey that we're taking and here's where it's starting, and with meat on the bone. >> Yeah. I think what's really interesting about Cloud City is the fact that we've brought these different players together that they're all focused, as you said, on the future. And I'm starting to see these connections where they're collaborating. Like, vendors that didn't know each other probably would never have partnered before, totally different areas. I'm hearing the conversation in the booth about like, Hey, I talked to people in security, or I went and talked to LMX and we're putting deals together 'cause we're complimentary and it's amazing. >> John: And integration partnership, heard that from Google yesterday on our news exclusive break in there, they see integration. And they're talking about Android with what Android did for mobile. They're seeing a whole new software paradigm coming into Telco, it's partnership, it's ecosystem and open. These are new kind of dynamics. >> Danielle: And I think for you guys, when you say integration and open, I think those things are really paired in and they're important. A lot of times Telco people will hear integration, they all think customization. Coding it up and customizing it, so that they talk to each other. But I think the open part of that is really important where we're connecting via API's and I think that's bringing the hyper-scalers, that's what they do. They provide these systems and the software, that's all API base and you can use it very quickly, and you can unravel it if you need to. And it's feature velocity we talked about a couple of days ago. >> And automation is the underpinning of that. I mean, that's really the theme, it's not like a one-off hardcore custom integration that's going to be frozen. >> Danielle: One time to upgrade every 18 months or whatever it is, it's alive. >> Dave: How about Musk yesterday? >> John: I mean, he's always a crowd pleaser. First of all, my kids love him. He's crazy. >> Who doesn't love Elon Musk? >> I mean, he is amazing. He's a builder. And he takes no prisoners. He's just, you know what? My goal was not to go bankrupt. That's what he said a couple of years ago. >> Dave: Which was brilliant because everybody's gone bankrupt in that business and he's just blows it off. >> And he's just like, look it, we're here to just want to chip away at it and we're just going to keep striving, not making up excuses. He takes the failures, he takes the face plants, he gets back up and he keeps going. He's focused on building the future. >> He's focused on one thing, he's on focused everything. He's focused on getting to Mars. And I think that's what I like to compare myself to Elon Musk, not that I'm building rockets or getting to Mars, but that the hard problem that I'm solving is getting Telco to the public cloud. And that's going to take a decade. It might have been accelerated because of COVID, it might've taken 20 years and now it might take 10, but you look at what he does and that guy, he has haters on Twitter they're kind of pew pew, always like throw in their bars, but he's like, I got my rocket company, I got my communication and space company. We're going to need to bore a holes, The Boring Company. I need batteries, I got my Tesla company. And so this guy focuses. >> John: He's got some haters, but he's got a lot more lovers on his other side because people might not know this, but he fires the entire PR department because he's like, I don't need PR I'm just going to go do my own, his own PR. Actually the crypto stuff's always fun, Dogecoins are always a laugh. >> Danielle: I think he just plays around with that. >> And it's just more of like playing. >> Dave Vellante: And that's like, watch this! (laughs) >> He just like to see what he can do. >> I said that live was interesting thing he did, but I think he illustrates the point of a new generation. And I think my young kids, not young, they're in their '20s now, they look at him and they say, that's aspirational because he's building and he's not, he's focused on that one thing. And again, the growth that you mentioned Telco to the cloud, getting back to that, I want to ask you this growth question. It used to be like, okay, growth was there, people expanded cell towers, networks were networks, now it seems like the growth of Telco, what Telco is going into with Edge and all the open ranch stuff, which means that we need more infrastructure. We need more stuff, there's more needed and there's growth behind them. What's your reaction? >> Danielle: I think we need more software. Software eats the world. And it's, I mean, there was a lot of hardware to chomp in Telco and it's just going to keep eating it, and that's just going to accelerate. I that's where Telcos need to start to build that muscle. They don't have great software capability, they don't have public cloud building capability. And so that's a big up-skilling that's a new hiring and I think it's an executive conversation. It's not just an IT thing or just a marketing thing, or networking thing. >> Dave: I got to chime in here for a second because there are a lot of parallels with how the data center transition has occurred. And what's happening here. We talk about all the time, Oh, it's a mainframe, et cetera. There are parallels. And what happened when the data center went to software-defined a whole bunch of hardware was allocated to run all the software-defined stuff. It wasn't built for that, but the cloud, what you guys are doing with Togi and taken advantage of AWS's Nitro and Graviton. That's built to be software-defined. And so the Telcos are going to go through the same thing. If they just virtualized, they're going to say, oh wow, we're wasting 30% of our power our compute power on just supporting all this software-defined stuff, 'cause it wasn't built for that, but the cloud is built for that. And that is going to be a huge difference. >> Danielle: And I keep trying to make this distinction and I think people in Telco still don't get this about the public cloud. They think of it as a place. It's a place to run a workload. And that tells me, they think of it as infrastructure. They think of it as servers still like, well, I'm going to run into my closet or AWS' has closet. I'm like, and I was just having a conversation about this with a senior person from GSMA. I'm like, it's actually about the software that's there, it's about the databases they're building and the analytics and the AI, and ML that they let you buy by the minutes or by the API call. And that is like, you need to think about that 'cause it's mind blowing, it's a totally different way to think. >> John: You're totally right. And just going to again, give you props on this. I've had many ones with Andy Jackson for the past seven years for exclusives, but over the years it's been consistent. Each platform lifting and shift wasn't the end game. Re-platforming in the cloud certainly a great advantage, a great starting point. It was the refactoring. And that's why you see Amazon Web Services for instance, keep adding more services 'cause that's the model. They keep offering more goodness so that the businesses could refactor, not just re-platform. And that's what you're getting, I think with the AI and machine learning, where you start getting into these new use cases, but why couldn't do that before? >> Danielle: Right. >> This is going to be a huge game changer. >> Well Forrest Brazeal, a great guy, a cloud guru wrote a great blog called a lift-and-shift is a ticking time bomb. And it's a great start to get your stuff over there, it forces your team to start to interact with like, an AWS or GCP in a real way like now they, they got to use it. You take it away and I'm like, but once you move it you got to re-factor you got to rewrite and then that's why it's a ticking time bomb. You got to move it over and get going. >> John: You know, Royston DR, Digital Revolution of you are one, you got it here TelcoDR and this has been a great experience for theCUBE as we get back to business with real life events and virtual, the folks who couldn't make it here, Barcelona is still a great city, obviously a great place to come and the events will be back, they'll be hybrid, they'll be different. certainly theCUBE will lay, doubling down, but we've got a great video. I want to share for the group, the Barcelona and Cloud City, this is a montage of what it's like here and little experiential video. So take it away and run that video. (slow upbeat music) (upbeat music) >> Hi, I'm Katie Goldfinch here in Barcelona for an action packed day two at TelcoDR's Cloud City. This morning, the focus was firmly on DR and her MWC keynote which told Telco execs in no uncertain terms that now is the time to act on embracing public cloud. Back in Cloud City, content ruled the day with both theCUBE and Cloud City live stages, hosting public cloud thought-leaders, covering a wide range of topics to educate and inspire attendees. And in the beautiful space of Cloud City, the excitement grew throughout the day as we streamed MWC's exclusive keynotes from Elon Musk. And preparations got underway for tonight's star performer, Jon Bon Jovi. (upbeat music) >> Katie: Wow! What an amazing day from groundbreaking keynotes into space and back to a star studded performance. Don't forget, you can catch up on anything you missed and join us for the rest of the week at cloudcity.telcodr.com or following #cloudcity. (slow upbeat music) >> OK we're back, that was great look at what's going on here in Cloud City, this next video DR, you're going to love this. Your keynote highlights and some Bon Jovi highlights, which by the way, was the most epic thing, people were packed, >> Dave: It was exciting. >> This place was packed. It had the security, clicking peoples, counting all the people, people are standing back. All the people on their booths, they're all coming in to watch. >> Dave: He was pumped. >> Let's take a look at this awesome highlight video from yesterday. (slow upbeat music) (upbeat music) (slow upbeat music) >> Okay. We're back to theCUBE. Dave, that was a highlight reel yesterday. DR has got some action on stage, great messaging, revolution, digital revolution. >> You know your comment about how you think like Elon Musk, that's an inspiration from it. I mean, what a lot of people don't know is when you look at autonomous vehicles, remember you're driving down Palo Alto, you see one of those LIDAR things, he's doing away with LIDARs, it's too expensive. It's $7,000, he's taking it with cheap cameras and software down to a couple of hundred bucks per vehicle, that's the way he thinks and you're doing the same thing to Telco. >> Danielle: I am. I'm trying to change Telco. I mean, he's changing the world. He might be one of the most important humans on earth right now. I don't think I'm exactly that level, but I'm trying to become a really important person in Telco, we have this great message. I think it's going to help Telcos to get better businesses ad I think it's a great idea. >> John: For the folks out there watching, what is that big change? You're going to drive down this Cloud City street, main street of Cloud City and just all about cloud. 'Cause public clouds here, it's going to become hybrid dynamics, operating models are changing. What is the key message that you'd like to send? >> I think all of the software in Telco needs to be re-written. And that's how many millions of lines of code is that and it's going to be shrunk down, and put out on public cloud, and re-written using the software legos of the public cloud, that is a big undertaking. No one's working on it. I'm working on it. I'm doing it. Let's go do it. >> John: Let's do it. And if you look out a couple of years, what would be a successful, what does checkmate look like in these chess game that you play? >> (chuckles) I'm winning, hashtag winning. (laughs and crosstalk) I think it takes, again, it takes singular focus like Elon Musk on Mars. Somebody needs to singularly focus on getting to the public cloud and you can't sit there, and protect your old business models, your CR revenue if you're Amdocs, give that up. When they start to give up their CR revenue to focus on public cloud, then they'll be, okay there's a worthy adversary out there really focusing on it. >> John: I mean the late Clay Christianson had all the same things. Innovator's dilemma. You just get stuck here, what do you do? You kill your own, you eat your own to bring in the new, I mean, all these things are going on, this is a huge test. >> Danielle: If we're willing to burn some boats. >> I think it's transparency, simplicity, and the consumer saying, Hey, this is a great experience. that's the tell sign. And that's what we're going to see over this next decade. >> Consumers love their Telco, I can't wait for that I want to love my Telco. >> Dave: Like you love Netflix. >> Yes, exactly. >> DR, we love you because you've got a bold vision. You put it out there and you're driving it. You're walking the talk. Congratulations. And again, Cloud City is a home run, great success. Thanks for having theCUBE. >> Thank you guys as always, super fun. Great day. >> Okay. TheCUBE's coverage here and remember we're here getting all the action, and it's all going to go online after, synchronous consumption. But right now, it's all about Mobile World Congress and Cloud City. This is the action. And of course, Adam in Cloud City Studio, is waiting for us and you're going to take it from here.

produced from the cube studios this is strong by science in-depth conversations about science based training sports performance and all things health and wellness here's your host max smart [Music] [Applause] [Music] all right thank you guys tune in today I have the one and only Dean of big data the man the myth the legend bill Schwarz oh also my dad is the CTO of Hitachi van Tara and IOC in analytics he has a very interesting background because he is the well he's known as the Dean of big data but also the king of the court and all things basketball related when it comes to our household and unlike most people in the data world and I want to say most as an umbrella term but a some big bill has an illustrious sports career playing at Coe College the Harvard of the Midwest my alma mater as well but I think having that background of not just being computer science but where you have multiple disciplines involved when it comes to your jazz career you had basketball career you have obviously the career Iran now all that plays a huge role in being able to interpret and take multiple domains and put it into one so thank you for being here dad yeah thanks max that's a great introduction I rep reciate that no it's it's wonderful to have you and for our listeners who are not aware bill is referring him is Bill like my dad but I call my dad the whole time is gonna drive me crazy bill has a mind that thinks not like most so he he sees things he thinks about it not just in terms of the single I guess trajectory that could be taken but the multiple domains that can go so both vertically and horizontally and when we talk about data data is something so commonly brought up in sports so commonly drop in performance and athletic development big data is probably one of the biggest guess catchphrases or hot words or sayings that people have nowadays but doesn't always have a lot of meaning to it because a lot of times we get the word big data and then we don't have action out of big data and bill specialty is not just big data but it's giving action out of big data with that going forward I think a lot of this talk to be talking about how to utilize Big Data how do you guys data in general how to organize it how to put yourself in a situation to get actionable insights and so just to start it off Becky talked a little bit on your background some of the things you've done and how you develop the insights that you have thanks max I have kind of a very nos a deep background but I've been doing data analytics a long time and I was very fortunate one of those you know Forrest Gump moments in life where in the late 1980s I was involved in a project at Procter & Gamble I ran the project where we brought in Walmart's point of sales data for the first time into a what we would now call a data warehouse and for many of this became the launching point of the data warehouse bi marketplace and we can trace the effect the origins of many of the BI players to that project at Procter & Gamble in 87 and 88 and I spent a big chunk of my life just a big believer in business intelligence and data warehousing and trying to amass data together and trying to use that data to report on what's going on and writing insights and I did that for 20 25 years of my life until as you probably remember max I was recruited out Business Objects where I was the vice president of analytic applications I was recruited out of there by Yahoo and Yahoo had a very interesting problem which is they needed to build analytics for their advertisers to help those advertisers to optimize or spend across the Yahoo ad network and what I learned there in fact what I unlearned there was that everything that I had learned about bi and data warehouse and how you constructed data warehouses how you were so schema centric how everything was evolved around tabular data at Yahoo there was an entirely different approach the of my first introduction to Hadoop and the concept of a data Lake that was my first real introduction into data science and how to do predictive analytics and prescriptive analytics and in fact it was it was such a huge change for me that I was I was asked to come back to the TD WI data world Institute right was teaching for many years and I was asked to do a keynote after being at Yahoo for a year or so to share sort of what were the observations what did I learn and I remember I stood up there in front of about 600 people and I started my presentation by saying everything I've taught you the past 20 years is wrong and it was well I didn't get invited back for 10 years so that probably tells you something but it was really about unlearning a lot about what I had learned before and probably max one of the things that was most one of the aha moments for me was bi was very focused on understanding the questions that people were trying to ask an answer davus science is about us to understand the decisions they're trying to take action on questions by their very nature our informative but decisions are actionable and so what we did at Yahoo in order to really drive the help our advertisers optimize your spend across the Yahoo ad network is we focus on identifying the decisions the media planners and buyers and the campaign managers had to make around running a campaign know what what how much money to allocate to what sides how much how many conversions do I want how many impressions do I want so all the decisions we built predictive analytics around so that we can deliver prescriptive actions to these two classes of stakeholders the media planners and buyers and the campaign managers who had no aspirations about being analysts they're trying to be the best digital marketing executives or you know or people they could possibly be they didn't want to be analysts so and that sort of leads me to where I am today and my my teaching my books my blogs everything I do is very much around how do we take data and analytics and help organizations become more effective so everything I've done since then the books I've written the teaching I do with University of San Francisco and next week at the National University of Ireland and Galway and all the clients I work with is really how do we take data and analytics and help organizations become more effective at driving the decisions that optimize their business and their operational models it's really about decisions and how do we leverage data and analytics to drive those decisions so what would how would you define the difference between a question that someone's trying to answer versus a decision but they're trying to be better informed on so here's what I'd put it I call it the Sam test I am and that is it strategic is it actionable is it material and so you can ask questions that are provocative but you might not fast questions that are strategic to the problems you're trying to solve you may not be able to ask questions that are actionable in a sense you know what to do and you don't necessarily ask questions that are material in the sense that the value of that question is greater than the cost of answering that question right and so if I think about the Sam test when I apply it to data science and decisions when I start mining the data so I know what decisions are most important I'm going through a process to identify to validate the value and prioritize those decisions right I understand what decisions are most important now when I start to dig through the data all this structured unstructured data across a number different data sources I'm looking for I'm trying to codify patterns and relationships buried in that data and I'm applying the Sam test is that against those insights is it strategic to the problem I'm trying to solve can I actually act on it and is it material in the sense that it's it's it's more valuable to act than it is to create the action around it so that's the to me that big difference is by their very nature decisions are actually trying to make a decision I'm going to take an action questions by their nature are informative interesting they could be very provocative you know questions have an important role but ultimately questions do not necessarily lead to actions so if I'm a a sport coach I'm writing a professional basketball team some of the decisions I'm trying to make are I'm deciding on what program best develops my players what metrics will help me decide who the best prospect is is that the right way of looking at it yeah so we did an exercise at at USF too to have the students go through an exercise - what question what decisions does Steve Kerr need to make over the next two games he's playing right and we go through an exercise of the identifying especially in game decisions exercise routes oh no how often are you gonna play somebody no how long are they gonna play what are the right combinations what are the kind of offensive plays that you're gonna try to run so there's a know a bunch of decisions that Steve Kerr is coach of the Warriors for example needs to make in the game to not only try to win the game but to also minimize wear and tear on his players and by the way that's a really good point to think about the decisions good decisions are always a conflict of other ideas right win the game while minimizing wear and tear on my players right there's there are there are all the important decisions in life have two three or four different variables that may not be exactly the same which is by this is where data science comes in the data science is going to look across those three or four very other metrics against what you're going to measure success and try to figure out what's the right balance of those given the situation I'm in so if going back to the decision about about playing time well think about all the data you might want to look at in order to optimize that so when's the next game how far are they in this in this in the season where do they currently sit ranking wise how many minutes per game has player X been playing looking over the past few years what's there you know what's their maximum point so there's there's a there's not a lot of decisions that people are trying to make and by the way the beauty of the decisions is the decisions really haven't changed in years right what's changed is not the decisions it's the answers and the answers have changed because we have this great bound of data available to us in game performance health data you know all DNA data all kinds of other data and then we have all these great advanced analytic techniques now neural networks and unstructured supervised machine learning on right all this great technology now that can help us to uncover those relationships and patterns that are buried in the data that we can use to help individualize those decisions one last point there the point there to me at the end when when people talk about Big Data they get fixated on the big part the volume part it's not the volume of big data that I'm going to monetize it's the granularity and what I mean by that is I now have the ability to build very detailed profiles going back to our basketball example I can build a very detailed performance profile on every one of my players so for every one of the players on the Warriors team I can build a very detailed profile it the details out you know what's their optimal playing time you know how much time should they spend before a break on the feet on the on the on the court right what are the right combinations of players in order to generate the most offense or the best defense I can build these very detailed individual profiles and then I can start mission together to find the right combination so when we talk about big it's not the volume it's interesting it's the granularity gotcha and what's interesting from my world is so when you're dealing with marketing and business a lot of that when you're developing whether it be a company that you're trying to find more out about your customers or your startup trying to learn about what product you should develop there's tons of unknowns and a lot of big data from my understanding it can help you better understand some patterns within customers how to market you know in your book you talk about oh we need to increase sales at Chipotle because we understand X Y & Z our current around us now in the sports science world we have our friend called science and science has helped us early identify certain metrics that are very important and correlated to different physiological outcomes so it almost gives us a shortcut because in the big data world especially when you're dealing with the data that you guys are dealing with and trying to understand customer decisions each customer is individual and you're trying to compile all together to find patterns no one's doing science on that right it's not like a lab work where someone is understanding muscle protein synthesis and the amount of nutrients you need to recover from it so in my position I have all these pillars that maybe exist already where I can begin my search there's still a bunch of unknowns with that kind of environment do you take a different approach or do you still go with the I guess large encompassing and collect everything you can and siphon after maybe I'm totally wrong I'll let you take it away no that's it's a it's a good question and what's interesting about that max is that the human body is governed by a series of laws we'll say in each me see ology and the things you've talked about physics they have laws humans as buyers you know shoppers travelers we have propensity x' we don't have laws right I have a propensity that I'm gonna try to fly United because I get easier upgrades but I might fly you know Southwest because of schedule or convenience right I have propensity x' I don't have laws so you have laws that work to your advantage what's interesting about laws that they start going into the world of IOT and this concept called digital twins they're governed by laws of physics I have a compressor or a chiller or an engine and it's got a bunch of components in it that have been engineered together and I can actually apply the laws I can actually run simulations against my digital twins to understand exactly when is something likely to break what's the remaining useful life in that product what's the severity of the the maintenance I need to do on that so the human body unlike the human psyche is governed by laws human behaviors are really hard right and we move the las vegas is built on the fact that human behaviors are so flawed but body mate but bat body physics like the physics that run these devices you can actually build models and one simulation to figure out exactly how you know what's the wear and tear and what's the extensibility of what you can operate in gotcha yeah so that's when from our world you start looking at subsystems and you say okay this is your muscular system this is your autonomic nervous system this is your central nervous system these are ways that we can begin to measure it and then we can wrote a blog on this that's a stress response model where you understand these systems and their inferences for the most part and then you apply a stress and you see how the body responds and even you determine okay well if I know the body I can only respond in a certain number of ways it's either compensatory it's gonna be you know returning to baseline and by the mal adaptation but there's only so many ways when you look at a cell at the individual level that that cell can actually respond and it's the aggregation of all these cellular responses that end up and manifest in a change in a subsystem and that subsystem can be measured inferential II through certain technology that we have but I also think at the same time we make a huge leap and that leap is the word inference right we're making an assumption and sometimes those assumptions are very dangerous and they lead to because that assumptions unknown and we're wrong on it then we kind of sway and missed a little bit on our whole projection so I like the idea of looking at patterns and look at the probabilistic nature of it and I'm actually kind of recently change my view a little bit from my room first I talked about this I was much more hardwired and laws but I think it's a law but maybe a law with some level of variation or standard deviation and it we have guardrails instead so that's kind of how I think about it personally is that something that you say that's on the right track for that or how would you approach it yeah actually there's a lot of similarities max so your description of the human body made up of subsystems when we talk to organizations about things like smart cities or smart malls or smart hospitals a smart city is comprised of a it's made up of a series of subsystems right I've got subsystems regarding water and wastewater traffic safety you know local development things like this look there's a bunch of subsystems that make a city work and each of those subsystems is comprised of a series of decisions or clusters of decisions with equal use cases around what you're trying to optimize so if I'm trying to improve traffic flow if one of my subsystems is practically flow there are a bunch of use cases there about where do I do maintenance where do I expand the roads you know where do I put HOV lanes right so and so you start taking apart the smart city into the subsystems and then know the subsystems are comprised of use cases that puts you into really good position now here's something we did recently with a client who is trying to think about building the theme park of the future and how do we make certain that we really have a holistic view of the use cases that I need to go after it's really easy to identify the use cases within your own four walls but digital transformation in particular happens outside the four walls of an organization and so what we what we're doing is a process where we're building journey maps for all their key stakeholders so you've got a journey map for a customer you have a journey map for operations you have a journey map for partners and such so you you build these journey maps and you start thinking about for example I'm a theme park and at some point in time my guest / customer is going to have a pity they want to go do something you want to go on vacation at that point in time that theme park is competing against not only all the other theme parks but it's competing against major league baseball who's got things it's competing against you know going to the beach in Sanibel Island just hanging around right there they're competing at that point and if they only start engaging the customer when the customers actually contacted them they must a huge part of the market they made you miss a huge chance to influence that person's agenda and so one of the things that think about I don't know how this applies to your space max but as we started thinking about smart entities we use design thinking and customer journey match there's a way to make certain that we're not fooling ourselves by only looking within the four walls of our organization that we're knocking those walls down making them very forest and we're looking at what happens before somebody engages it with us and even afterwards so again going back to the theme park example once they leave the theme park they're probably posting on social media what kind of fun they had or fun they didn't have they're probably making plans for next year they're talking to friends and other things so there's there's a bunch of stuff we're gonna call it afterglow that happens after event that you want to make certain that you're in part of influencing that so again I don't know how when you combined the data science of use cases and decisions with design thinking of journey Maps what that might mean to do that your business but for us in thinking about smart cities it's opened up all kinds of possibilities and most importantly for our customers it's opened up all kinds of new areas where they can create new sources of value so anyone listening to this need to understand that when the word client or customer is used it can be substituted for athlete and what I think is really important is that when we hear you talk about your the the amount of infrastructure you do for an idea when you approach a situation is something that sports science for in my opinion especially across multiple domains it's truly lacking what happens is we get a piece of technology and someone says go do science while you're taking the approach of let's actually think out what we're doing beforehand let's determine our key performance indicators let's understand maybe the journey that this piece of technology is going to take with the athlete or how the athletes going to interact with this piece of technology throughout their four years if you're in the private sector right that afterglow effect might be something that you refer to as a client retention and their ability to come back over and over and spread your own word for you if you're in the sector with student athletes maybe it's those athletes talking highly about your program to help with recruiting and understanding that developing athletes is going to help you know make that college more enticing to go to or that program or that organization but what really stood out was the fact that you have this infrastructure built beforehand and the example I give I spoke with a good number of organizations and teams about data utilization is that if if you're to all of a sudden be dropped in the middle of the woods and someone says go build a cabin now how was it a giant forest I could use as much wood as I want I could just keep chopping down trees until I had something that had with a shelter of some sort right even I could probably do that well if someone said you know what you have three trees to cut down to make a cabin you could become very efficient and you're going to think about each chop in each piece of wood and how it's going to be used and your interaction with that wood and conjunction with that woods interaction with yourself and so when we start looking at athlete development and we're looking at client retention or we're looking at general health and wellness it's not just oh this is a great idea right we want to make the world's greatest theme park and we want to make the world's greatest training facility but what infrastructure and steps you need to take and you said stakeholders so what individuals am i working with am I talking with the physical therapist am i talking with the athletic trainer am I talking with the skill coach how does the skill coach want the data presented to them maybe that's different than how the athletic trainer is going to have a day to present it to them maybe the sport coach doesn't want to see the data unless something a red flag comes up so now you have all these different entities just like how you're talking about developing this customer journey throughout the theme park and making sure that they have a you know an experience that's memorable and causes an afterglow and really gives that experience meaning how can we now take data and apply it in the same way so we get the most value like you said on the granular aspect of data and really turn that into something valuable max you said something really important and one of the things that let me share one of many horror stories that that that comes up in my daily life which is somebody walking up to me and saying hey I got a client here's their data you know go do some science on it like well well what the heck right so when we created this thing called the hypothesis development canvas our sales teams hate it or do the time our data science teams love it because we do all this pre work we just say we make sure we understand the problem we're going after the decision they're trying to make the KPI is it's what you're going to measure success in progress what are they the operational and financial business benefits what are the data sources we want to consider here's something by the way that's it's important that maybe I wish Boeing would have thought more about which is what are the costs of false positives and false negatives right do you really understand where your risks points are and the reason why false positive and false negatives are really important in data science because data size is making predictions and by virtue of making predictions we are never 100% certain that's right or not predictions hath me built on I'm good enough well when is good enough good enough and a lot of that determination as to when is good enough good enough is really around the cost of false positives and false negatives think about a professional athlete like the false the you know the ramifications of overtraining professional athlete like a Kevin Durant or Steph Curry and they're out for the playoffs as huge financial implications them personally and for the organization so you really need to make sure you understand exactly what's the cost of being wrong and so this hypothesis development canvas is we do a lot of this work before we ever put science to the data that yeah it's it's something that's lacking across not just sports science but many fields and what I mean by that is especially you referred to the hypothesis canvas it's a piece of paper that provides a common language right it's you can sit it out before and for listeners who aren't aware a hypothesis canvas is something bill has worked and developed with his team and it's about 13 different squares and boxes and you can manipulate it based on your own profession and what you're diving into but essentially it goes through the infrastructure that you need to have setup in order for this hypothesis or idea or decision to actually be worth a damn and what I mean by that is that so many times and I hate this but I'm gonna go in a little bit of a rant and I apologize that people think oh I get an idea and they think Thomas Edison all son just had an idea and he made a light bulb Thomas Edison's famous for saying you know I did you know make a light bulb I learned was a 9000 ways to not make a light bulb and what I mean by that is he set an environment that allowed for failure and allowed for learning but what happens often people think oh I have an idea they think the idea comes not just you know in a flash because it always doesn't it might come from some research but they also believe that it comes with legs and it comes with the infrastructure supported around it that's kind of the same way that I see a lot of the data aspect going in regards to our field is that we did an idea we immediately implement and we hope it works as opposed to set up a learning environment that allows you to go okay here's what I think might happen here's my hypothesis here's I'm going to apply it and now if I fail because I have the infrastructure pre mapped out I can look at my infrastructure and say you know what that support beam or that individual box itself was the weak link and we made a mistake here but we can go back and fix it

live from Las Vegas it's the cube covering AWS reinvents 2018 brought to you by Amazon Web Services inhale and their ecosystem partners hey welcome back everyone this the cube live day 3 coverage of Amazon Web Services AWS reinvent 2018 we're here with two cents Dave six years we've been covering Amazon every single reinvent since they've had this event except for the first year and you know we've been following AWS really since its inception one of my startup said I was trying to launch and didn't ever got going years ago and he went easy to launch was still command-line and so we know all about it but what's really exciting is the global expansion of Amazon Web Services the impact that not only the commercial business but the public sector government changing the global landscape and the person who I've written about many times on Forbes and unhooking angle Theresa Carlson she's the chief a public sector vice president of Amazon Web Services public sector public sector great to see you hi hi John I checked great to be here again as always so the global landscape mean public sector used to be this a we talk to us many times do this do that yeah the digital environment and software development growth is changing all industries including public sector he's been doing a great job leading the charge the CIA one of the most pivotal deals when I asked Andy jassie directly and my one-on-one with them that this proudest moments one of them is the CIA deal when I talked to the top execs in sales Carla and other people in Amazon they point to that seminal moment with a CIA deal happen and now you got the DoD a lot of good stuff yeah what's do how do you top that how do you raise the bar well you know it still feels like day one even with all that work in that effort and those customers kind of going back to go forward in 2013 when we won the CIA opportunity they are just an amazing customer the entire community is really growing but there's so much more at this point that we're doing outside of that work which is being additive around the world and as you've always said John that was kind of a kind of a pivotal deal but now we're seeing so many of our government customers we now have customers at a hundred and seventy four countries and I have teams on the ground in 28 countries so we're seeing a global mood but you know at my breakfast this week we talked a lot about one of the big changes I've seen in the last like 18 months is state and local government where we're seeing actually states making a big move California Arizona New York Ohio Virginia so we're starting to see those states really make big moves and really looking at applications and solutions that can change that citizen services engagement and I achieve in these state local governments aren't real I won't say their course they're funded but they're not like funded like a financial services sector but that's women money they got to be very efficient clouds a perfect opportunity for them because they can be more productive I do a lot of good things I can and there's 20 new governor's coming on this year so we've had a lot of elections lots of new governors lots of new local council members coming in but governor's a lot of times you'll see a big shift when a governor comes in and takes over or if there's one that stays in and maintains you'll see kind of that program I was just in Arizona a couple weeks ago and the governor of Arizona has a really big fish toward modernization and utilization of information technology and the CIO of the state of Arizona is like awesome they're doing all this work transformative work with the government and then I was at Arizona State University the same day where we just announced a cloud Innovation Center for smart cities and I went around their campus and it's amazing they're using IOT everywhere you can go in there football stadium and you can see the movement of the people how many seats are filled where the parking spaces are how much water's been used where Sparky is their their backside I've got to be Sparky which was fed but you're seeing these kind of things and all of that revs on AWS and they're doing all the analytics and they're gonna continue to do that one for efficiency and knowledge but to also to protect their students and citizens and make them safer through the knowledge of data analytics you know to John's point about you know funding and sometimes constricted funding at state and local levels and even sometimes the federal levels yeah we talked about this at the public sector summit I wonder if you could comment Amazon in the early days help startups compete with big companies it gave them equivalent resources it seems like the distance between public sector and commercial is closing because of the cloud they're able to take advantage of resources at lower cost that they weren't able to before it's definitely becoming the new normal in governments for sure and we are seeing that gap closing this year 2018 for me was a year that I saw kind of big moves to cloud because in the early days it was website hosting kind of dipping their toes in this year we're talking about massive systems that are being moved to the cloud you know big re-architecting and design and a lot of people say well why do they do that that costs money well the reason is because they may have to Rio architect and design but then they get all the benefits of cloud through the things that examples this week new types of storage new types of databases at data analytics IOT machine learning because in the old model they're kind of just stagnated with where they were with that application so we're seeing massive moves with very large applications so that's kind of cool to see our customers and public sector making those big moves and then the outputs the outcome for citizens tax payers agencies that's really the the value and sometimes that's harder to quantify or justify in public sector but over the long term it's it's going to make a huge difference in services and one of the things I now said the breakfast was our work and something called helping out the agents with that ATO process the authority to operate which is the big deal and it cost a lot of money a lot of times long time and processes and we've been working with companies like smartsheet which we helped them do this less than 90 days to get go plow so now working with our partners like Talos and Rackspace and our own model that's one of the things you're also gonna see check and Jon you're taking your knowledge of the process trying to shrink that down could time wise excessive forward to the partners yes to help them through the journey these fast move fast that kind of just keep it going and that's really the goal because they get very frustrated if they build an application that takes forever to get that security that authority to operate because they can't really they can't move out into full production unless that's completed and this could make or break these companies these contracts are so big oh yeah I mean it's significant and they want to get paid for what they're doing and the good work but they also want to see the outcome and the results yeah I gotta ask you what's new on the infrastructure side we were in Bahrain for the region announcement exciting expansion there you got new clouds gov cloud east yeah that's up and running no that's been running announced customers are in there they're doing their dr their coop running applications we're excited yes that's our second region based on a hundred and eighty five percent year-over-year growth of DEFCON region west so it's that been rare at reading I read an article that was on the web from general Keith Alexander he wrote an op-ed on the rationale that the government's taking in the looking at the cloud and looking at the military look at the benefits for the country around how to do cloud yes you guys are also competing for the jet idea which is now it's not a single source contract but they want to have one robust consistent environment yeah a big advantage new analytics so between general Keith Alexander story and then the the public statement around this was do is actually outlined benefits of staying with one cloud how is that going what how's that Jedi deal going well there's there's two points I'd like to make them this first of all we are really proud of DoD they're just continuing to me and they're sticking with their model and it's not slowing them down everything happening around Jedi so the one piece yes Jedi is out there and they need to complete this transaction but the second part is we're just we're it's not slowing us down to work with DoD in fact we've had great meetings with DoD customers this week and they're actually launching really amazing cloud workloads now what's going to be key for them is to have a platform that they can consistently develop and launch new mission applications very rapidly and because they were kind of behind they their model right now is to be able to take rapid advantage of cloud computing for those warriors there's those war fighters out in the field that we can really help every day so I think general Alexander is spot on the benefits of the cloud are going to really merit at DoD I have to say as an analyst you know you guys can't talk about these big deals but when companies you know competitors can test them information becomes public so in the case of CI a IBM contested the judge wheeler ruling was just awesome reading and it underscored Amazon's lead at the time yeah at Forrest IBM to go out and pay two billion dollars for software the recent Oracle can contestant and the GAO is ruling there gave a lot of insights I would recommend go reading it and my takeaway was the the DoD Pentagon said a single cloud is more secure it's going to be more agile and ultimately less costly so that's that decision was on a very strong foundation and we got insight that we never would have been able to get had they not tested well and remember one of the points we were just talking earlier was the authority to operate that that ability to go through the security and compliance to get it launched and if you throw a whole bunch of staff at an organization if they they're struggling with one model how are they gonna get a hundred models all at once so it's important for DoD that they have a framework that they can do live in real first of all as a technical person and an operating system which is kind of my background is that it makes total sense to have that cohesiveness but the FBI gave a talk at your breakfast on Tuesday morning Christene Halverson yeah she's amazing and she pointed out the problems that they're having keep up with the bad actors and she said quote we are FBI is in a data crisis yes and she pointed out all the bad things that happened in Vegas the Boston Marathon bombing and the time it took to put the puzzle pieces together was so long and Amazon shrinks that down if post-event that's hard imagine what the DoD is to do in real time so this is pointing to a new model it's a new era and on that well and we you know one of the themes was tech4good and if you look at the FBI example it's a perfect example of s helping them move faster to do their mission and if they continue to do what they've always done which is use old technologies that don't scale buying things that they may never use or being able to test and try quickly and effectively test Belfast recover and then use this data an FBI I will tell you it is brilliant how they're the name of this program sandcastle one Evan that they've used to actually do all this data and Linux and she talked about time to mission time to catch the bad guys time to share that analysis and data with other groups so that they could quickly disseminate and get to the heart of the matter and not sit there and say weight on it weight on this bad guy while we go over here and change time to value completely being that Amazon is on whether it's commercial or government I talk about values great you guys could have a short term opportunity to nail all these workloads but in the Amazon fashion there's always a wild card no I was so excited Dave and I interviewed Lockheed Martin yesterday yeah and this whole ground station thing is so cool because it's kind of like a Christopher Columbus moment yeah because the world isn't flat doesn't have an edge no it's wrong that lights can power everything there's spaces involved there's space company yes space force right around the corner yep you're in DC what's the excitement around all this what's going on we surprised a lot of with that announcement Lockheed Martin and DigitalGlobe we even had DigitalGlobe in with Andy when we talked about AWS ground station and Lockheed Martin verge and the benefit of this is two amazing companies coming together a tub yes that knows cloud analytics air storage and now we're taking a really hard problem with satellites and making it almost as a service as well as Lockheed doing their cube stats and making sure that there is analysis of every satellite that moves that all points in time with net with no disruption we're going to bring that all together for our customers for a mission that is so critical at every level of government research commercial entities and it's going to help them move fast and that is the key move very fast every mission leader you talk to you that has these kind of predators will say we have to move faster and that's our goal bringing commercial best practices I know you got a run we got less than a minute left but I want you to do a quick plug in for the work you're doing around the space in general you had a special breakout ibrehem yours public sector summit not going on in the space area that your involvement give it quick yeah so we will have it again this year winner first ever at the day before our public sector summit we had an Earth and space day and where we really brought together all these thought leaders on how do we take advantage of that commercial cloud services that are out there to help both this programs research Observatory in any way shape app data sets it went great we worked with NASA while we were here we actually had a little control center with that time so strip from NASA JPL where we literally sat and watched the Mars landing Mars insight which we were part of and so was Lockheed Martin and so his visual globe so that was a lot of fun so you'll see us continue to really expand our efforts in the satellite and space arena around the world with these partnership well you're super cool and relevant space is cool you're doing great relevant work with Amazon I wish we had more time to talk about all the mentoring you're doing with women you're doing tech4good so many great things going on I need to get you guys and all my public sector summits in 2019 we're going to have eight of them around the world and it was so fantastic having the Cuban Baja rain this year I mean it was really busy there and I think we got to see the level of innovation that's shaping up around the world with our customers well thanks to the leadership that you have in the Amazon as a company in the industry is changing the cube will be global and we might see cube regions soon if Lockheed Martin could do it the cube could be there and they have cube sets yes thank you for coming on theresa carlson making it happen really changing the game and raising the bar in public sector globally with cloud congratulations great to have you on the cube as always more cube covers Andy Jasmine coming up later in the program statements for day three coverage after this short break [Music]

>> Announcer: Live from Vancouver, Canada. It's the CUBE. Coverage OpenStack Summit North American 2018. Brought to you by Red Hat, the OpenStack Foundation and its ecosystem partners. >> Stu: Welcome to SiliconANGLE Media's coverage of OpenStack Summit 2018. This is the CUBE. We're on day two of three days of live coverage. I'm Stu Miniman here with my co-host, John Troyer. Beautiful city here in Vancouver. There's been a bunch of parties last night, community things going on and to help us kind of set the stage for day two happy to welcome back to the program Lisa-Marie Namphy whose an OpenStack ambassador and also now a developer advocate with Portworx. Lisa, great to see you. >> Lisa: Thank you, guys, always great to be here. >> Stu: So, you're wearing a new logo ?????? Why don't you bring us up to speed on some of the many hats you're wearing. >> Lisa: Yeah, I joined the team at Portworx a few months back, super exciting, cognitive storage. If you want to run safe provocations like databases and containers, that's where Portworx comes in. So, it's a great space and as you know I've been in the cognitive space for a long time so I'm very happy to join the team of Portworx. >> Stu: I love, there's the open dev stuff going on here at the show. There was a keynote this morning, Forrest did a nice job of it. We'll actually have Immam on the CUBE tomorrow to talk some more about this, but you're at that nice intersection of how the developers fit into this, containers has been a hot discussion here for a few years, that whole cloud-native term that you've brought up, what is that mean to the OpenStack community, give us your level set as to what you see happening here in the OpenStack and beyond. >> Lisa: Yes, as you intimated I am still the tech ambassador for North America and have been for a long time, so I have seen this change coming, this progression, super-exciting at this conference how they've embraced those technologies that have been part of the story, but they really embraced at a very serious way as you saw from the keynotes yesterday. All the other technologies like works being done around containers, like Edge, ioT, all these wonderful stories that are getting showcased at this conference and customers and partners and communities coming together and working together, I think that's the most exciting part. >> John: Well, Lisa you run the meetup formally known as the Bay Area OpenStack meetup which just changed it name. Can you talk a little bit about that? >> Lisa: Yeah, well we just thought that, after looking at our schedule, and over the last two years I think that I've run 18 meetups on Kubernetes and Docker and Mesos and I just felt like networking and storage and all of the stuff we showcased I would keep. We didn't feel like the name was really reflective of the content that we were delivering and Cloud-native and Open-infrastructure is more of a broad term and that's the content that we've been delivering, and that's what the community has been wanting to talk about and wanting to come together over. So I changed the name. >> John: You guys have had great success, right? It's one of the biggest, or one of the biggest, meetup in this space. >> Lisa: It is, yeah, it's the world's largest ever tech issue group. We have over 6,000 members. >> John: People show up >> Lisa: They do. >> John: I've been to meetings. >> Lisa: A nice note to everybody, I didn't want anyone to panic, we still love OpenStack, and remember, OpenStack is a foundation of this, it was the first OpenStack meetup, but OpenStack is at the core of all of this technology, so it's built on OpenStack OpenStack's inside and so it's open infrastructure's a better, more encompassing title. >> Stu: I think that's great, we actually in some of the interviews we did yesterday, we had a COB provider from Australia and you go look around their website and it's not like they're saying, "Hey, OpenStack" all over the place, they're infrastructure and service for government and when you dig down underneath, what do you know, there's OpenStack there. Talk to a number of software companies that, when you dig into their IP, it's like "Oh, okay, we're using one of these projects from OpenStack." So, the premise I had had a few years ago is we know Opensource is a bunch of tools out there and it's not necessarily just like Linux permeated throughout the data center, OpenStack has that opportunity to that next generation of helping us to build everything from structure to service to all of these software products that are inside. >> Lisa: Absolutely and we saw during all those keynotes yesterday all the different projects when they did show what was being shown as the demo, all these projects coming together, maybe only two of them, that an OpenStack project, it's all of these communities coming together, working together, and it's kind of changed because everything's been focusing on business problems and this, I think, is the biggest shift that this shows. You know, these user communities not being so focused on the project that they're working on, but really focusing on use cases and trying to solve those problems, and now, I haven't said this to Lauren and Jonathan, I feel like when they pull the design from it out, I think that went a long way to taking away the project focus, because when you have a design summit and everyone runs off into their rooms to talk about cinder or nova or whatever it was they argue about the next release, that has all been removed and now its happening elsewhere and it really let the community come together and work together and bring all the technologies together. >> Stu: What do you, the conference in general, what's the vibe here? Obviously, we're in a beautiful place, everyone's really kind of stunned by the mountains everyone, not the first time though OpenStack Summit's been here in Vancouver, but what's the vibe, what's the feeling? >> Lisa: Yeah, it's so great to be back here. Congratulations on the trained whales that you've got for the free tram behind us. Vancouver, I mean, yeah Canada. It's just everyone's been so nice, so wonderful, it's so beautiful, wow, extremely happy to be back here. I think the Summit's been going great, you know. Non-dairy options at the coffee stations, I love that, too. They've thought of everything, the marketplace was booming last night, we had a little ambassador stand where people could come up and do a meet and greet and I was like pilled that there was so many people coming by for the whole hour. The energy has been wonderful and everybody feels involved. You know, this is a very communal feeling to this Summit. >> Stu: Great, to tell us about Portworx, give us the update there, how that fits into what's happening at the show. You've been lost in shows lately, you've got more coming up in the next month. >> Lisa: Absolutely, I mean, people just think okay it's an OpenStack summit, is it really going to be relevant? I have so many customers here, it's been fantastic to catch up with people and Portworx, it's a startup out of Spokane Valley, based in Los Altos and we have almost a hundred customers now and it's live in production, running Kubernetes in production and the problem with when you wanted to run those fateful applications, people think of containers as stateless traditionally, particularly Kubernetes, but what are you going to do with the data, right? The database is still super important so whether it's Postscript or MySequal or Kassberg or Santros, those fateful applications are really important and not the problem that Portworx solves. It's a cognitive storage company, but it's really beyond that, things you would expect from traditional VM, high availability, things like that, we can solve those problems if you want to run Postscript in a container. We worked really closely with Nasos, say resallas, the Kubernetes team with Docker. We'll be at DockerCon, the other, next week, and so we are actually doing the next meetup in the San Francisco Bay area. The first one we're going to bring all of these group together, we're doing it in conjunctions with our french and code press who run the production ready container, used to be container 101 meetup, so we're going to get together with them and with our Cloud-native open-infra user group. So, we're going to a meetup on June 6th, so I hope you guys come? >> John: Great, so I mean you said there's a lot of, going back to the conflict of business users, you know, folks who actually need to get stuff done, anything you're looking at in a conference in terms of the news, the clean release is out, so in terms of technologies, you're hearing about, talked about, buzz, the VTBU stuff, I don't know all what different, I know there's a lot of other storage news coming out this week, but anything that you guys are hearing in the air? >> Lisa: I mean, around again the adjacent technologies, CASA containers, a big focus here, and I hope that they're going to be a big focus, I hope I can finally run the first ever robotic containment meetup. We're going to have them do a hands-on lab at our OpenStack birthday party event on the "8th" I put that in quotes because it's a half-day hands-on lab training, it's sorry the 10th, July 10th, we want to focus on product containers, we want to focus on some of the new technology, Akrana, you heard me mention that yesterday. That's coming out, Edge, so Edge technology is huge, Vast was on stage again, right, talking about what they are doing, OpenDev as a subtrack of this constant or however they say that, it's super exciting. I think Boris Sunstach this morning, Boris is a sponsor Lawrence was a sponsor of that and I think the OpenDev community is really, it's bringing kind of of the developers and technology back into the fold and having this kind of of un-conference or sub-conference going on as a track, which is fantastic. I'm speaking tomorrow on the container track, container info-structure track, so super-excited about that it's also a track, but that's what I loved about this conference, about how they're really focusing on these kind of new and up-and-coming areas that are super hot. >> Stu: Lisa-Marie Namphy, really appreciate you helping us kick off day two coverage, so much these blendings of these communities helping the users put together the overall solution to get done what they need to get done. >> Lisa: Yeah, Bob Obasek of that foundation they've done a fantastic job, the energy of this summit has been fantastic. >> Stu: We've got a full lineup today, we've got practitioners, we've got the ecosystem, and for John Troyer I'm Stu Miniman. Thanks for watching the CUBE.

[Music] and y'all know that these [Music] ladies and gentlemen please take your seats and silence your cellphone's our program will begin shortly ladies and gentlemen please welcome Red Hat executive vice president and chief people officer dallisa Alexander an executive vice president and chief marketing officer Tim Layton [Music] hi everyone we're so excited to kick off this afternoon day 2 at the Red Hat summit we've got a stage full of stories about people making amazing contributions with open source well you know dallisa you and I both been coming to this event for a long long time so what keeps you coming back well you know the summit started as a tech conference an amazing tech conference but now it's expanded to be so much more this year I'm really thrilled that we're able to showcase the power of open source going way beyond the data center and beyond the cloud and I'm here also on a secret mission oh yes I'm here to make sure you don't make too many bad dad jokes so there's no such thing as a bad dad they're just dad jokes are supposed to be bad but I promise to keep it to my limit but I do have one okay I may appeal to the geeks in the audience okay so what do you call a serving tray full of empty beer cans yeah we container platform well that is your one just the one that's what I only got a budget of one all right well you know I have to say though in all seriousness I'm with you yeah I've been coming to the summit since its first one and I always love to hear what new directions people are scoring what ideas they're pursuing and the perspectives they bring and this afternoon for example you're gonna hear a host of different perspectives from a lot of voices you wouldn't often see on a technology mainstage in our industry and it's all part of our open source series live and I have to say there's been a lot of good buzz about this session all week and I'm truly honored and inspired to be able to introduce them all later this afternoon I can tell you over the course the last few weeks I've spent time with all of them and every single one of them is brilliant they're an innovator they're fearless and they will restore your faith in the next generation you know I can't wait to see all these stories all of that and we've got some special guests that are surprised in store for us you know one of the things that I love about the people that are coming on the stage today with us is that so many of them teach others how to code and they're also bringing more people that are very different in to our open-source communities helping our community is more innovative and impactful and speaking of innovative and impactful that's the purpose of our open brand project right that's right we're actually in the process of exploring a refresh of our mark and we'd really like your help as well because we're doing this all in the open we've we've been doing it already in the open and so please join us in our feedback zone booth at the summit to tell us what you think now it's probably obvious but I'm big into Red Hat swag I've got the shirt I've got my pen I've got the socks so this is really important to me personally especially that when my 15 year old daughter sees me in my full regalia she calls me adorable okay that joke was fed horrible as you're done it wasn't it wasn't like I got way more well Tim thanks for helping us at this stage for today it's time to get started with our first guest all right I'll be back soon thank you the people I'm about to bring on the stage are making outstanding contributions to open source in new and brave ways they are the winners of the 2018 women and open source Awards the women in open source awards was created to highlight the contributions that women are making to open source and to inspire new generations to join the movement our judges narrowed down the panel a very long list just ten finalists and then the community selected our two winners that were honoring today let's learn a little bit more about them [Music] a lot of people assume because of my work that I must be a programmer engineer when in fact I specifically chose and communications paths for my career but what's fascinating to me is I was able to combine my love of Communications and helping people with technology and interesting ways I'm able to not be bound by the assumptions that everybody has about what the technology can and should be doing and can really ask the question of what if it could be different I always knew I wanted to be in healthcare just because I feel like has the most impact in helping people a lot of what I've been working on is geared towards developing technology and the health space towards developing world one of the coolest things about open-source is bringing people together working with other people to accomplish amazing things there's so many different projects that you could get involved in you don't even have to be the smartest person to be able to make impact when you're actually developing for someone I think it's really important to understand the need when you're pushing innovation forward sometimes the cooler thing is not [Music] for both of us to have kind of a health care focus I think it's cool because so many people don't think about health care as being something that open-source can contribute to it took a while for it to even get to the stage where it is now where people can open-source develop on concepts and health and it's an untapped potential to moving the world for this award is really about highlighting the work of dozens of women and men in this open source community that have made this project possible so I'm excited for more people to kind of turn their open-source interest in healthcare exciting here is just so much [Music] I am so honored to be able to welcome to the stage some brilliant women and opensource first one of our esteemed judges Denise Dumas VP of software engineering at Red Hat she's going to come up and share her insights on the judging process Denise so you've been judging since the very beginning 2015 what does this judge this being a judge represents you what does the award mean to you you know every year it becomes more and more challenging to select the women an opensource winner because every year we get more nominees and the quality of the submissions well there are women involved in so many fabulous projects so the things that I look for are the things that I value an open source initiative using technology to solve real world problems a work ethic that includes sin patches and altruism and I think that you'll see that this year's nominees this year's winners really epitomize those qualities totally agree shall we bring them on let's bring them on let's welcome to the stage Zoe de gay and Dana Lewis [Music] [Applause] [Applause] [Music] alright let's take a seat [Applause] well you both have had an interesting path to open-source zuy you're a biomedical engineering student any of it you have a degree in public relations tell us what led to your involvement and open source yeah so coming to college I was new I was interested in science but I didn't want to be a medical doctor and I didn't want to get involved in wet lab research so through classes I was taking oh that's why I did biomedical engineering and through classes I was taking I found the classroom to be very dry and I didn't know how how can I apply what I'm learning and so I got involved in a lot of entrepreneurship on campus and through one of the projects I was asked to build a front end and I had no idea how to go about doing that and I had some basic rudimentary coding knowledge and what happened was I got and was digging deep and then found an open source library that was basically building a similar thing that I needed and that was where I learned about open source and I went from there now I'm really excited to be able to contribute to many communities and work on a variety of projects amazing contributions Dana tell us about your journey well I come from a non-traditional background but I was diagnosed with type 1 diabetes at the age of 14 and over the next couple years got really frustrated with the limitations of my own diabetes devices but felt like I couldn't change them because that wasn't my job as a patient but it was actually through social media I discovered someone who had solved one of the problems that I had been found having which was getting date off my diabetes device and that's how I learned about open source was when he was willing to share his code with me so when we turned around and made this hybrid closed-loop artificial pancreas system it was a no brainer to make our work open source as well that's right absolutely and we see using the hash tag we are not waiting can you tell us about that yeah so this hash tag was created actually before I even discovered the open source diabetes world but I loved it because it really illustrates exactly the fact that we have this amazing technology in our hands in our pockets and we can solve some of our most common problems so yes you could wait but waiting is now a choice with open source we have the ability to solve some of our hardest problems even problems dealing with life and death that's great so zuy with the vaccine carrier system that you helped to build how were you able to identify the need and where did you build it yes so I think before you even build anything first need to understand what is the problem that you're trying to solve and that really was the case when starting this project I got to collaborate with engineers in Kampala Uganda and travel there and actually interview stakeholders in the medical field medical doctors as well as pharmaceutical companies and from there I really got to understand the health system there as well as what is how do vaccines enter the country and how can we solve this problem and that's how we came up with the solution for an IOT based vaccine carrier tracking system I think it's really important especially today when products might be flashy to also understand what is the need behind it and how do we solve problems with these products yeah yeah it's so interesting how both of you have this interest in health care Dana how do you see open-source playing a role in healthcare but first before you answer that tell us about your shirt so this shirt has the code of my artificial pancreas on it and I love it as an illustration of no thank you I love it as an illustration of how open-source is more than we think it is I've just been blown away by the contributions of people in my open-source communities and I think that that is what we should apply to all of healthcare there's a lot of tools and technologies that are solving real world problems and I think if we take what we know in technology and apply it to healthcare we'll solve a lot of problems more quickly but it really needs to be recognizing everything an open source it's the documentation it's the collaboration it's the problem-solving it's working together to take technologies that we didn't previously think we're applicable and finding new ways to apply it it's a great answer Sooey yeah I think especially where healthcare is related to people and open-source is the right way to collaborate with people all over the world especially in the project I've been working on we're looking at vaccines in Uganda but the same system can be applied in any other country and then you can look at cross countries health systems there and from there it becomes bigger and bigger and I think it's really important for people who have an idea and want to take it further to know that open-source is a way that you could actually take your idea further whether you have a technical background or not so yeah stories are amazing you're just an inspiration for everyone in open-source I want to thank you so much for joining us here today let's give another round of applause to our winners [Applause] [Music] you know the tagline for the award is honor celebrate inspire and I feel like we've been doing that today very very well and I know that so many people have been inspired today especially the next generation who go on to do things we can't even dream of yet [Music] I think collabs important because we need to make sure we get younger children interested in technology so that they understand the value of it but also that there are a lot of powerful women in technology and they can be one of them I hope after this experience maybe we'll get some engineers and some girls working our hot so cool right well we have some special guests convite for the club stage now I'd like to invite Tim back and also introduce Red Hat's own Jamie Chappell along with our collab students please welcome Gabby tenzen Sofia lyric Camila and a Volyn [Applause] you've been waiting for this moment for a while we're so excited hear all about your experiences but Jamie first tell us about collab sure so collab is red hats way of teaching students about the power of open source and collaboration we kicked off a little over a year ago in Boston and that was so successful that we decided to embark on an East Coast tour so in October we made stops at middle schools in New York DC and Raleigh and these amazing people over here are from that tour and this week they have gone from student to teacher so they've hosted two workshops where they have taught Red Hat summit attendees how to turn raspberry pies into digital cameras they assigned a poem song of the open road by Walt Whitman and they've been working at the open source stories booth helping to curate photos for an installation we're excited to finish up tomorrow so amazing and welcome future women in open source we want to know all about your experiences getting involved can you tell us tenzen tell us about something you've learned so during my experience with collab I learned many things but though however the ones that I valued the most were open source and women empowerment I just I was just so fascinated about how woman were creating and inventing things for the development of Technology which was really cool and I also learned about how open source OH was free and how anyone could access it and so I also learned that many people could you know add information to it so that other people could you learn from it and use it as well and during Monday's dinner I got this card saying that the world needed more people like you and I realized through my experience with collab that the world does not only need people like me but also everyone else to create great technology so ladies you know as you were working on your cameras and the coding was there a moment in time that you had an AHA experience and I'm really getting this and I can do this yes there was an aha moment because midway through I kind of figured out well this piece of the camera went this way and this piece of the camera did it go that way and I also figured out different features that were on the camera during the camera build I had to aha moments while I was making my camera the first one was during the process of making my camera where I realized I was doing something wrong and I had to collaborate with my peers in order to troubleshoot and we realize I was doing something wrong multiple times and I had to redo it and redo it but finally I felt accomplished because I finished something I worked hard on and my second aha moment was after I finished building my camera I just stared at it and I was in shock because I built something great and it was so such a nice feeling so we talked a lot about collaboration when we were at the lab tell us about how learning about collaboration in the lab is different than in school so in school collaboration is usually few and far between so when we went to collab it allowed us to develop new skills of creativity and joining our ideas with others to make something bigger and better and also allowed us to practice lots of cooperation an example of this is in my group everybody had a different problem with their pie camera and we had to use our different strengths to like help each other out and everybody ended up assembling and working PI camera great great awesome collaboration in collab and the school is very different because in collab we were more interactive more hands-on and we had to work closer together to achieve our own goals and collaboration isn't just about working together but also combining different ideas from different people to get a product that is so much better than some of its parts so girls one other interesting observation this actually may be for the benefit of the folks in our audience but out here we have represented literally hundreds and hundreds of companies all of whom are going to be actually looking for you to come to work for them after today we get first dibs that's right but um you know if you were to have a chance to speak to these companies and say what is it that they could do to help inspire you know your your friends and peers and get them excited about open source what would you say to them well I'm pretty sure we all have app store and I'm pretty sure we've all downloaded an app on that App Store well instead of us downloading app State well the computer companies or the phone companies they could give us the opportunity to program our own app and we could put it on the App Store great idea absolutely I've got to tell you I have a 15 year old daughter and I think you're all going to be an inspiration to her for the same absolutely so much so I see you brought some cameras why don't we go down and take a picture let's do it [Applause] all right I will play my very proud collab moderator role all right so one two three collab okay one two three [Applause] yeah so we're gonna let leave you and let you tell us more open source stories all right well thank you great job thank you all and enjoy the rest of your time at Summit so appreciate it thanks thank you everyone pretty awesome pretty awesome and I would just like to say they truly are fedorable that's just um so if you would like to learn more as you heard the girls say they're actually Manning our open-source stories booth at the summit you know please come down and say hello the stories you've seen thus far from our women and open-source winners as well as our co-op students are really bringing to life the theme of this year's summit the theme of ideas worth exploring and in that spirit what we'd like to do is explore another one today and that is how open-source concepts thrive and expand in the neverending organic way that they do much like the universe metaphor that you see us using here it's expanding in new perspectives and new ideas with voices beyond their traditional all starting to make open-source much bigger than what it was originally started as fact open-source goes back a long way long before actually the term existed in those early days you know in the early 80s and the like most open-source projects were sort of loosely organized collections of self-interested developers who are really trying to build low-cost more accessible replicas of commercial software yet here we are 2018 the world is completely different the open-source collaborative development model is the font of almost all original new innovation in software and they're driven from communities communities of innovation RedHat of course has been very fortunate to have been able to build an extraordinary company you know whose development model is harnessing these open-source innovations and in turning them into technologies consumable by companies even for their most mission-critical applications the theme for today though is we see open-source this open source style collaboration and innovation moving beyond just software this collaborative community innovation is starting to impact many facets of society and you're starting to see that even with the talks we've had already too and this explosion of community driven innovation you know is again akin to this universe metaphor it expands in all directions in a very organic way so for red hat you know being both beneficiaries of this approach and stewards of the open collaboration model we see it important for us to give voice to this broader view of open source stories now when we say open source in this context of course will meaning much more than just technology it's the style of collaboration the style of interaction it's the application of open source style methods to the innovation process it's all about accelerating innovation and expanding knowledge and this can be applied to a whole range of human endeavors of course in education as we just saw today on stage in agriculture in AI as the open source stories we shared at last year's summit in emerging industries like healthcare as we just saw in manufacturing even the arts all these are areas that are now starting to benefit from collaboration in driving innovation but do we see this potentially applying to almost any area of human endeavor and it expands again organically expanding existing communities with the addition of new voices and new participants catalyzing new communities and new innovations in new areas as we were talking about and even being applied inside organizations so that individual companies and teams can get the same collaborative innovation effects and most profound certainly in my perspective is so the limitless bounds that exist for how this open collaboration can start to impact some of humankind's most fundamental challenges we saw a couple of examples in fact with our women and open-source winners you know that's amazing but it also potentially is just the tip of the iceberg so we think it's important that these ideas you know as they continue to expand our best told through storytelling because it's a way that you can embrace them and find your own inspirations and that's fundamentally the vision behind our open-source stories and it's all about you know building on what's come before you know the term we use often is stay the shoulders are giants for a lot of the young people that you've seen on this stage and you're about to see on this stage you all are those giants you're the reason and an hour appears around the world are the reasons that open-source continues to expand for them you are those giants the other thing is we all particularly in this room those of us have been around open-source we have an open-source story of our own you know how were you introduced the power of open-source how did you engage a community who inspired you to participate those are all interesting elements of our personal open-source stories and in most cases each of them are punctuated by you here my question to the girls on stage an aha moment or aha moments you know that that moment of realization that enlightens you and causes you to think differently and to illustrate I'm going to spend just a few minutes sharing my open-source story for for one fundamental reason I've been in this industry for 38 years I am a living witness to the entire life of open-source going back to the early 80s I've been doing this in the open-source corner of the industry since the beginning if you've listened to Sirhan's command-line heroes podcasts my personal open story will actually be quite familiar with you because my arc is the same as the first several podcast as she talked about I'm sort of a walking history lesson in fact of open source I wound up at most of the defining moments that should have changed how we did this not that I was particularly part of the catalyst I was just there you know sort of like the Forrest Gump of open-source I was at all these historical things but I was never really sure how it went up there but it sure was interesting so with that as a little bit of context I'm just gonna share my aha moment how did I come to be you know a 59 year old in this industry for 38 years totally passionate about not just open source driving software innovation but what open source collaboration can do for Humanity so in my experience I had three aha moments I just like to share with you the first was in the early 80s and it was when I was introduced to the UNIX operating system and by the way if you have a ha moment in the 80s this is what it looks like so 1982 mustache 19 where were you 2018 beard that took a long time to do all right so as I said my first aha moment was about the technology itself in those early days of the 80s I became a product manager and what at the time was digital equipment corporation's workstation group and I was immediately drawn to UNIX I mean certainly these this is the early UNIX workstation so the user interface was cool but what I really loved was the ability to do interactive programming via the shell but by a--basically the command line and because it was my day job to help figure out where we took these technologies I was able to both work and learn and play all from the same platform so that alone was was really cool it was a very accessible platform the other thing that was interesting about UNIX is it was built with networking and and engagement in mind had its own networking stack built in tcp/ip of course and actually built in a set of services for those who've been around for a while think back to things like news groups and email lists those were the first enablers for cross internet collaboration and that was really the the elements that really spoke to me he said AHA to me that you know this technology is accessible and it lets people engage so that was my first aha moment my second aha moment came a little bit later at this point I was an executive actually running Digital Equipment Corporation UNIX systems division and it was at a time where the UNIX wars were raging right all these companies we all compartmentalized Trump those of the community and in the end it became an existential threat to the platform itself and we came to the point where we realized we needed to actually do something we needed to get ahead of this or UNIX would be doomed the particular way we came together was something called cozy but most importantly the the technique we learned was right under our noses and it was in the area of distributed computing distributed client-server computing inherently heterogenous and all these same companies that were fierce competitors at the operating system level were collaborating incredibly well around defining the generation of client-server and distributed computing technologies and it was all being done in open source under actually a BSD license initially and Microsoft was a participant Microsoft joined the open group which was the converged standards body that was driving this and they participated to ensure there was interoperability with Windows and and.net at the time now it's no spoiler alert that UNIX lost right we did but two really important things came out of that that sort of formed the basis of my second aha moment the first is as an industry we were learning how to collaborate right we were leveraging open source licenses we realized that you know these complex technologies are best done together and that was a huge epiphany for the industry at that time and the second of course is that event is what opened the door for Linux to actually solve that problem so my second aha was all about the open collaboration model works now at this point to be perfectly candidates late 1998 well we've been acquired by compacts when I'm doing the basically same role at Compaq and I really had embraced what the potential impact of this was going to be to the industry Linux was gaining traction there were a lot of open source projects emerging in distributed computing in other areas so it was pretty clear to me that the in business impact was going to be significant and and that register for me but there was seem to be a lot more to it that I hadn't really dropped yet and that's when I had my third aha moment and that was about the passion of open-source advocates the people so you know at this time I'm running a big UNIX group but we had a lot of those employees who were incredibly passionate about about Linux and open source they're actively participating so outside of working a lot of things and they were lobbying more and more for the leadership to embrace open source more directly and I have to say their passion was contagious and it eventually spread to me you know they were they were the catalyst for my personal passion and it also led me to rethink what it is we needed to go do and that's a passion that I carry forward to this day the one driven by the people and I'll tell you some interesting things many of those folks that were with us at Compaq at the time have gone on to be icons and leaders in open-source today and many of them actually are involved with with Red Hat so I'll give you a couple of names that some of whom you will know so John and Mad Dog Hall work for me at the time he was the person who wrote the first edition of Linux for dummies he did that on his own time when he was working for us he he coined he was part of the small team that coined the term open source' some other on that team that inspired me Brian Stevens and Tim Burke who wrote the first version to rent out Enterprise Linux actually they did that in Tim Burke's garage and cost Tim's still with Red Hat today two other people you've already seen him on stage today Denise Dumas and Marko bill Peter so it was those people that I was fortunate enough to work with early on who had passion for open-source and much like me they carry it forward to this day so the punchline there is they ultimately convinced us to you know embrace open-source aggressively in our strategy and one of the interesting things that we did as a company we made an equity investment in Red Hat pre-ipo and a little funny sidebar here I had to present this proposal to the compact board on investing in Red Hat which was at that time losing money hand over fist and they said well Tim how you think they're gonna make money selling free software and I said well you know I don't really know but their customers seem to love them and we need to do this and they approve the investment on the spot so you know how high do your faith and now here we are at a three billion dollar run rate of this company pretty extraordinary so from me the third and final ha was the passion of the people in the way it was contagious so so my journey my curiosity led me first to open source and then to Red Hat and it's been you know the devotion of my career for over the last thirty years and you know I think of myself as pretty literate when it comes to open source and software but I'd be the first one to admit I would have never envisioned the extent to which open source style collaboration is now being brought to bear on some of the most interesting challenges in society so the broader realization is that open source and open can really unlock the world's potential when applied in the collaborative innovative way so what about you you know you many of you particular those have been around for a while you probably have an open source story of your own for those that maybe don't or they're new to open source are new to Red Hat your open source story may be a single inspiration away it may happen here at the summit we certainly hope so it's how we build the summit to engage you you may actually find it on this stage when I bring up some of the people who are about to follow me but this is why we tell open-source stories and open source stories live so each of you hopefully has a chance to think about you know your story and how it relates over source so please take advantage of all the things that are here at the summit and and find your inspiration if you if you haven't already so next thing is you know in a spirit of our telling open source stories today we're introducing our new documentary film the science of collective discovery it's really about citizen scientists using open systems to do serious science in their backyards and environmental areas and the like we're going to preview that I'm gonna prove it preview it today and then please come see it tonight later on when we preview the whole video so let's take a look I may not have a technical scientific background but I have one thing that the scientists don't have which is I know my backyard so conventional science happens outside of public view so it's kind of in this black box so most are up in the ivory tower and what's exciting about citizen science is that it brings it out into the open we as an environmental community are engaging with the physical world every day and you need tools to do that we needed to democratize that technology we need to make it lightweight we need to make it low-cost we needed to make it open source so that we could put that technology in the hands of everyday people so they go out and make those measurements where they live and where they breathe when you first hear about an environmental organization you mostly hear about planting trees gardens things like that you don't really think about things that are really going to affect you hey we're the air be more they'd hold it in their hand making sure not to cover the intake or the exhaust I just stand here we look at the world with forensic eyes and then we build what you can't see so the approach that we're really centered on puts humans and real issues at the center of the work and I think that's the really at the core of what open source is social value that underlies all of it it really refers to sort of the rights and responsibilities that anyone on the planet has to participate in making new discoveries so really awesome and a great story and you know please come enjoy the full video so now let's get on with our open stories live speakers you're going to really love the rest of the afternoon we have three keynotes and a demo built in and I can tell you without exaggeration that when you see and hear from the young people we're about to bring forward you know it's truly inspirational and it's gonna restore totally your enthusiasm for the future because you're gonna see some of the future leaders so please enjoy our open source stories live presentation is coming and I'll be back to join you in a little bit thanks very much please welcome code newbie founder Saran yep Eric good afternoon how y'all doing today oh that was pretty weak I think you could do better than that how y'all doing today wonderful much better I'm Saran I am the founder of code newbie we have the most supportive community of programmers and people learning to code this is my very first Red Hat summits I'm super pumped super excited to be here today I'm gonna give you a talk and I'm going to share with you the key to coding progress yes and in order to do that I'm gonna have to tell you a story so two years ago I was sitting in my hotel room and I was preparing for a big talk the next morning and usually the night before I give a big talk I'm super nervous I'm anxious I'm nauseous I'm wondering why I keep doing this to myself all the speakers backstage know exactly what I'm what I'm talking about and the night before my mom knows this so she almost always calls just to check in to see how I'm doing to see how I'm feeling and she called about midnight the night before and she said how are you how are you doing are you ready and I said you know what this time I feel really good I feel confident I think I'm gonna do a great job and the reason was because two months ago I'd already given that talk in fact just a few days prior they had published the video of that talk on YouTube and I got some really really good positive feedback I got feedback from emails and DMS and Twitter and I said man I know people really like this it's gonna be great in fact that video was the most viewed video of that conference and I said to my office said you know what let's see how many people loved my talk and still the good news is that 14 people liked it and a lot more people didn't and I saw this 8 hours before I'm supposed to give that exact same talk and I said mom I gotta call you back do you like how I did that to hang up the phone as if that's how cellphones work yeah and so I looked at this and I said oh my goodness clearly there's a huge disconnect I thought they were really liked they were I thought they were into it and this showed me that something was wrong what do you do what do you do when you're about to give that same talk in 8 hours how do you begin finding out what the problem is so you can fix it I have an idea let's read the comments you got to believe you gotta have some optimism come on I said let's read the comments because I'm sure we'll find some helpful feedback some constructive criticism some insights to help me figure out how to make this talk great so that didn't happen but I did find some really colorful language and some very creative ideas of what I could do with myself now there are some kids in the audience so I will not grace you with these comments but there was this one comment that did a really great job of capturing the sentiment of what everyone else was saying I can only show you the first part because the rest is not very family-friendly but it reads like this how do you talk about coding and not fake societal issues see the thing about that talk is it wasn't just a code talk it was a code and talk is about code and something else that talked touched on code and social justice I talked a lot about how the things that we build the way we build them affect real people and their problems and their struggles and that was absolutely not okay not okay we talk about code and code only not the social justice stuff it also talked about code and diversity yeah I think we all know the diversity is really about lowering the bar it forces us to talk about people and their issues and their problems in their history and we just don't do that okay absolutely inappropriate when it comes to a Tech Talk That Talk touched on code and feelings and feelings are squishy they're messy they're icky and a lot of us feel uncomfortable with feelings feelings have no place in technology no place in code we want to talk about code and code I want you to show me that API and when you show me that new framework that new tool that's gonna solve my problems that's all I care about I want to talk about code and give me some more code with it now I host a podcast called command line heroes it's an original podcast from Red Hat super excited about it if you haven't checked it out and totally should and what I love about this show as we talk about these really important moments and open swords these inflection points moments where we see progress we move forward and what I realized looking back at those episodes is all of those episodes have a code and something let's look at a few of those the first two episodes focused on the history of operating systems as a two-part episode part 1 and part 2 and there's lots of different ways we can talk about operating systems for these two episodes we started by talking about Windows and Mac OS and how these were two very powerful very popular operating systems but a lot of a lot of developers were frustrated with them they were closed you couldn't see inside you can see what it was doing and I the developer want to know what it's doing on my machine so we kind of had a little bit of a war one such developer who was very frustrated said I'm gonna go off and do my own thing my name is Linus this thing is Linux and I'm gonna rally all these other developers all these other people from all over the old to come together and build this new thing with me that is a code and moment in that case it was code and frustration it was a team of developers a world of developers literally old world of developers who said I'm frustrated I'm fed up I want something different and I'm gonna do something about it and what's really beautiful about frustration is it the sign of passion we're frustrated because we care because we care so much we love so deeply then we want to do something better next episode is the agile revolution this one was episode three now the agile revolution is a very very important moment in open-source and technology in general and this was in response to the way that we used to create products we used to give this huge stack of specs all these docs from the higher-ups and we'd take it and we go to our little corner and we lightly code and build and then a year with Pastor here's a pass a few years have passed and we'd finally burst forth with this new product and hope that users liked it and loved it and used it and I know something else will do that today it's okay no judgment now sometimes that worked and a lot of times it didn't but whether or not it actually worked it hurt it was painful these developers not enjoy this process so what happened a dozen developers got together and literally went off into their own and created something called the agile manifesto now this was another code and moment here it's code and anger these developers were so angry that they literally left civilization went off into a mountain to write the agile manifesto and what I love about this example is these developers did not work at the same company we're not on the same team they knew each other from different conferences and such but they really came from different survive and they agreed that they were so angry they were going to literally rewrite the way we created products next as an example DevOps tear down the wall this one is Episode four now this is a bit different because we're not talking about a piece of technology or even the way we code here we're talking about the way we work together the way that we collaborate and here we have our operations folks and our developers and we've created this new kind of weird place thing called DevOps and DevOps is interesting because we've gotten to a point where we have new tools new toys so that our developers can do a lot of the stuff that only the operations folks used to be able to do that thing that took days weeks months to set up I can do it with a slider it's kind of scary I can do it with a few buttons and here we have another code and moment and here that blink is fear for two reasons the operations focus is looking over the developer folks and thinking that was my job I used to be able to do that am I still valuable do I have a place in this future do I need to retrain there's also another fear which is those developers know what they're doing do they understand the security implications they appreciate how hard it is or something to scale and how to do that properly and I'm really interested in excited to see where we go with that where we take that emotion if we look at all of season one of the podcast we see that there's always a code and whether it's a code and frustration a code and anger or a code and fear it always boils down to code and feelings feelings are powerful in almost every single episode we see that that movement forward that progress is tied back to some type of Oshin and for a lot of us this is uncomfortable feelings make us feel weird and a lot of those YouTube commenters definitely do not like this whole feeling stuff don't be like those YouTube commenters there's one thing you take away from this whole talk let it be that don't be like these YouTube commenters feelings are incredibly powerful so the next time that you're working on a project you're having a conversation about a piece of software or a new piece of technology and you start to get it worked up you get angry you get frustrated maybe you get worried you get anxious you get scared I hope you recognize that feeling as a source of energy I hope you take that energy and you help us move forward I would take that to create the next inflection point that next step in the right direction feelings are your superpowers and I hope you use your powers for good thank you so much [Applause] please welcome jewel-box chief technology officer Sara Chipps [Music] Wow there's a lot of you out here how's it going I know there's a lot of you East Coasters here as well and I'm still catching up on that sleep so I hope you guys are having a great experience also my name is Sarah I'm here from New York I have been a software developer for 17 years it's longer than some of the people on stage today I've been alive big thanks to the folks at Red Hat for letting us come and tell you a little bit about jewel box so without further ado I'm gonna do exactly that okay so today we're gonna do a few things first I'm gonna tell you why we built jewel BOTS and why we think it's a really important technology I'm gonna show you some amazing magic and then we're gonna have one of the jewel bus experts come as a special guest and talk to you more about the deep technology behind what we're building so show hands in the audience who here was under 18 years old when they started coding it's hard for me to see you guys yep look around I'd have to say at least 50% of you have your hands up all right keep your hand up if you were under 15 when you started coding I think more hands up just what is it I don't know how that mouth works but awesome okay great yeah a little of I think about half of you half of you have your hands up that's really neat I've done a bunch of informal polls on the internet about this I found that probably about two-thirds of professional coders were under 18 when they started coding I myself was 11 I was a homeschooled kid so a little weird I'm part of the generation and some of you maybe as well is the reason we became coders is because we were lonely not because we made a lot of money so I was 11 this is before the internet was a thing and we had these things called BBS's and you would call up someone else's computer in your town and you would hang out with people and chat with them and play role-playing games with them it didn't have to be your town but if it wasn't your mom would yell at you for a long distance fees and I got really excited about computers and coding because of the community that I found online okay so this is sometimes the most controversial part of this presentation I promised you that they dominate our lives in many ways even if you don't even if you don't even know a 9 to 14 year old girl even if you just see them on the street sometimes they are deciding what you and I do on a regular basis hear me out for a second here so who here knows who this guy is okay you don't have to raise your hands but I think most people know who this guy is right so this guy used to be this guy and then teenage girls were like I think this guy has some talent to him I think that he's got a future and now he's a huge celebrity today what about this guy just got his first Oscar you know just kind of starting out well this guy used to be this guy and I'm proud to tell you that I am one of the many girls that discovered him and decided this guy has a future all right raise your hand if you listen to Taylor Swift just kidding I won't make you do it but awesome that's great so Taylor Swift we listen to Taylor Swift because these girls discovered Taylor Swift it wasn't a 35 year old that was like this Taylor Swift is pretty neat no one cares what we think but even bigger than that these huge unicorns that all of us some of us work for some of us wish we invented these were discovered by young teenage girls no one is checking to see what apps were using they're finding new communities in these thin in these platforms and saying this is how I want to commune with my friends things like Instagram snapchat and musically all start with this demographic and then we get our cues from them if you don't know what musically is I promise you ask your nearest 9 to 14 year old friend if you don't do that you'll hear about it in a few years but this demographic their futures are all at risk everyone here knows how much the field of software development is growing and how important technical literacy is to the future of our youth however just 18% of computer science graduates are girls just 19% of AP computer science test takers and just 15% of Google's tech force identify as female so we decided to do something about that we were inspired by platforms like MySpace and Geocities things like Neopets and minecraft all places where kids find something they love and they're like okay to make this better all I have to do is learn how to code I can totally do that and so we wanted to do that so we talked to 200 girls we went to schools we sat down with them and we were like what makes you tick what are you excited about and what we heard from them over and over again is their friends their friends and their community are pivotal to them and this time in their lives so when we started talking to them about a smart friendship bracelet that's when they started really freaking out so we built Jewel BOTS and Jewel BOTS has an active online community where girls can work together share code that they've built and learn from each other help each other troubleshoot sometimes the way they work is when you are near your friends your bracelets light up the same color and you can use them to send secret messages to each other and you can also code them so you can say things like when all my swimming friends are together in the same room all of our bracelets should go rainbow colors which is really fun you can even build games jewel BOTS started shipping about a year and a half ago about after a lot of work and we are about to ship our 12,000 jewel bot we're in 38 city sorry 38 countries and we're just getting started okay so now it's time for the magic and I have an important question does anyone here want to be my friend pick me all right someone today Gary oh I don't have many friends that's awesome I'm so glad that we'll be friends okay it's awesome so we just need to pair our jewel BA okay okay and in order to do that we're gonna hold the magic button in the middle down for two seconds so one locomotive two locomotive great and then we got a white flashing I'm gonna do yours again I did it wrong locomotive two locomotive it's we're adults we can't do it okay it's a good that are smart alright so now we get to pick our friendship color I'm gonna pick red hat red does that work for you sure okay great so now I just picked a red hat red and my jewel bot is saying alright Tim's jewel bot do you want to be my friend and imageable about it's like I'm thinking about it I think so okay now we're ready okay great so now we're red friends when we're together our bracelets are going to be red and I will send you a secret message when it's time for you to come out and trip and introduce the next guest awesome well thank you so much thank you tailor gun so glad we could be friends and if only people would start following me on Twitter it'd be a great day awesome alright so now you can see the not so technical part of jewel box they use bluetooth to sense when your friends are nearby so they would work in about a 30 meter hundred foot range but to tell you about the actual technology part I'm going to introduce is someone much more qualified than I am so Ellie is one of our jewel box ambassadors she's an amazing YouTube channel that I would please ask you to check out and subscribe she's le G Joel BOTS on YouTube she's an amazing coder and I'm really excited to introduce you today to Ellie Galloway come on out Ellie [Applause] hello my name is le gallais I'm gonna show you how I got coding and then show you some coding in action I first started coding at a6 when my dad helped me code a game soon after I program form a code for Minecraft then my dad had shown me jo bot I keep coding because it helps people for instance for instance you could code auto crack to make it a lot smarter so it can help make people stay run faster but what about something more serious what if you could help answer 911 calls and give alerts before we start I have three main steps to share with you I often use these steps to encoding my jaw bot and continue to use some of these now step one read the instructions and in other words this means for Jabba to memorize the colors and positions a way to memorize these because it's tricky is to remember all the colors and positions you O type will be capital and remember that the positions are either short for north west south west north east and south east step to learn the basic codes when it comes to coding you need to work your way up step 3 discover feel free to discover once you mastered everything now let's get to coding let's use or let's first use combining lights so under void loop I'm going to put LED turn on single s/w and blue and before we make sure that this works we got to put LED LED okay now let's type this again LED dot turn on single now let's do SW green now we have our first sketch so let's explain what this means led LED is a function that to control the LED lights LED turn on single SW blue tells that SW light to turn blue and green flashes so quickly with the blue it creates aqua now let's do another code lets you i'm going to use a more advanced command to make a custom color using RGB let's use a soft pink using 255 105 and 180 now let's type this in the button press function so let's do LED led LED dot set light and now we can do let's do position 3 255 105 and 180 now let's explain what this means the first one stands for the position the three others stand for red green and blue our GPS can only go up to 255 but there are 256 levels but if you count the first one as zero then get 255 so let's first before we move on let's show how this works so this is it before and now let's turn it on to see how our aqua turned out now let's see how our RGB light turned out so we are looking for a soft pink so let's see how it looks think about how much the code you write can help people all around the world these are ideas are just the beginning of opening a new world in technology a fresh start is right around the corner I hope this helped you learn a little bit about coding and even made you want to try it out for yourself thank you [Applause] alright alright alright I need your help for a second guys alright one second really really fascinating we're short on time today is Ellie's 11th birthday and I think we should give her the biggest present that she's gonna get today and it's something none of us have experienced and that is thousands of people saying happy birthday Elliott wants so when I say three can I get a happy birthday Elly one two three happy birthday Elly great job that's the best part of my job okay so those are that's two of us we're just getting started this numbers out Dana would almost shipped 12,000 jewel BOTS and what I'm really excited to tell you about is that 44% of our users don't just play with their jewel bots they code them and they're coding C do you even code C I don't know that you do but we have 8 to 14 year olds coding C for their jewel box we also have hundreds of events where kids come and they learn how to code for the first time here's how you can help we're open source so check out our github get involved our communities online you can see the different features that people's are asking for we're also doing events all over the world a lot of people are hosting them at their companies if you're interested in doing so reach out to us thank you so much for coming and learning about jewel box today enjoy the rest of your summit [Music] ladies and gentlemen please welcome hacker femme au founder Femi who Bois de Kunz [Music] good afternoon red hat summit 2018 i'm femi holiday combs founder of hacker femme Oh I started coding when I was 8 when I was 9 I set up South London raspberry jam through crowdfunding to share my passion for coding with other young people who might not otherwise be exposed to tech since then I've run hundreds of coding and robot workshops across the UK and globally in 2017 I was awarded an inaugural legacy Diana award by their Royal Highnesses Prince William and Prince Harry my service and community we welcome young people who have autism or like me tract syndrome because coding linked me up to a wider community of like-minded people and I'm trying to do the same for those who might also benefit from this I also deliver workshops to corporate companies and public organizations whilst feeding back ideas and resources into my community work we like to cascade our knowledge and experience to other young coders so that they can benefit too we're learning new tech every day we're starting to use github to document and manage our coding projects we've no dread we're using the terminal and beginning to really appreciate Linux as we explore cybersecurity and blockchain it's been quite a journey from South London to the world-famous Tate Modern museum to Bangladesh to this my first trip to the States and soon to China where I hope to translate my microwave workshops into Mandarin on this journey I'm noticed it is increasingly important for young coders to have collaborative and community led initiatives and enterprise and career ready skills so my vision now is to run monthly meetups and in collaboration with business partners help a hundred young disadvantaged people to get jobs in the digital services in fact out of all the lessons I've learned from teaching young coders they all have one thing in common the power of open source and the importance of developing community and today I want to talk about three of those lessons the value of reaching out and collaborating the importance of partnering event price and the ability to self organize and persist which translated into English means having a can-do attitude getting stuff done when you reach out when you show curiosity you realize you're not alone in this diverse community no matter who you are and where you're from from coding with minecraft to meeting other young people with jams I found there are people like me doing things I like doing I get to connect with them that's where open-source comes to the fourth second the open source community is so vast then it crosses continents it's so immersed perspectives that it can take you to amazing places out of space even that's my code running on the International Space Station's Columbus module let's take a lesson and playing was an audio representation for the frequencies recorded in space my team developed Python code to measure and store frequency readings from the space station and that was down linked back to earth to my email box Thomas who's 10 developed an audio file using audacity and importing it back into Python how cool is that Trulli collaboration can take you places you never thought possible because that's how the community works when you throw a dilemma a problem a tip the open source community comes back with answers when you give the community gives back tenfold that's how open source expands but in that vast starscape how do you know what to focus on there are so many problems to solve where do I start your world enterprice enterprise software is very good at solving problems what's the big problem how about helping the next generation be ready for the future I want to do more for the young coding community so I'm developing entrepreneurial business links to get that done this is a way to promote pathways to deal with future business problems whether in FinTech healthcare or supply chains a meeting the skill shortage it is a case for emerging in it's a case for investing in emerging communities and young change enablers throwing a wider net equates to being fully inclusive with a good representation of diversity you know under the shadow of the iconic show back in London there are pockets of deprivation where young people can't even get a job in a supermarket many of them are interested in tech in some way so my goal for the next three years is to encourage young people to become an active part of the coding community with open source we have the keys to unlock the potential for future innovation and technological development with young coders we have the people who have to face these problems working on them now troubleshooting being creative connecting with each other finding a community discovering their strengths along the way for me after running workshops in the community for a number of years when I returned from introducing coding to young street kids in Bangladesh I realized I had skills and experience so I set up my business hacker Famicom my first monetized fehmi's coding boot camp at Rice London Barclays Bank it was a sellout and a few weeks later shows my second I haven't looked back since but it works the opposite way - all the money raised enable me to buy robots for my community events and I was able to cascade my end price knowledge across to other young coders - when you focus on business problems you get active enthusiastic support from enterprise and then you can take on anything the support is great and we have tons of ideas but what does it really take to execute on those ideas to get things done can-do attitudes what open source needs you've seen it all this week we're all explorers ideator z' thinkers and doers open source needs people who can make the ideas happen get out there and see them through like I did setting up Safford and raspberry jam as an inclusive space to collaborate and learn together and that that led to organizing the young coders conference this was about organizing our own two-day event for our partners in industry to show they value young people and wanted to invest in our growth it doesn't stop there oh nice now I'm setting up monthly coding meetups and looking at ways to help other young people to access job opportunities in end price and digital services the underlying ethos remains the same in all I do promoting young people with the desire to explore collaborative problem-solving when coding digital making and building enterprise you fled having the confidence to define our journey and pathways always being inclusive always encouraging innovation and creativity being doers does more than get projects done makes us a pioneering force in the community dreaming and doing is how we will make exponential leaps my generation is standing on the shoulders of giants you the open-source pioneers and the technology you will built so I'd love to hear about your experiences who brought you into the open-source community who taught you as we go to upscale our efforts we encounter difficulties have you and how did you overcome them please do come to talk to me I'll be in the open-source stories booth both today and tomorrow giving workshops or visit the Red Hat page of my website hack Famicom I really value your insights in conclusion I'd like I'd like to ask you to challenge yourself you can do this by supporting young coders find the crowdfunding campaign kick-start their ideas into reality I'm proof that it works it's so awesome to be an active part of the next exponential leap together thank you [Applause] so unbelievable huh you know he reminds me of be at that age not even close and I can tell you I've spent a lot of time with Femi and his mom grace I mean what you see is what you get I mean he's incredibly passionate committed and all that stuff he's doing that long list of things he's doing he's going to do so hopefully today you get a sense of what's coming in the next generation the amazing things that people are doing with collaboration I'd also like to thank in addition to femi I'd like to thank Sauron Sarah and Ellie for equally compelling talks around the open source stories and again as I mentioned before any one of you can have an open source story that can be up here inspiring others and that's really our goal in telling these stories and giving voice to the things that you've seen today absolutely extraordinary things are happening out there and I encourage you to take every advantage you can hear this week and as is our theme for the summit please keep exploring thank you very much [Applause] [Music]

>> Announcer: Live from downtown San Francisco, it's theCUBE covering IBM Chief Data Officer Strategy Summit 2018, brought to you by IBM. (upbeat music) >> Welcome back to San Francisco, everybody. You're watching theCUBE, the leader in live tech coverage. We're covering the IBM Chief Data Officer Strategy Summit #ibmcdo. Ed Walsh is here. He's the General Manager of IBM Storage, and Steven Eliuk who's the Vice President of Deep Learning in the Global Chief Data Office at IBM, Steven. >> Yes, sir. >> Good to see you again. Welcome to The CUBE. >> Pleasure to be here. So there's a great story. We heard Inderpal Bhandari this morning talk about the enterprise data blueprint and laying out to the practitioners how to get started, how to implement, and we're going to have a little case study as to actually how you're doing this. But Ed, set it up for us. >> Okay, so we're at this Chief Data Officer Summit in the Spring, we do it twice a year and really get just Chief Data Officers together to think through their different challenges and actually share. So that's where we're at the Summit. And what we've, as IBM, as kind of try to be a foot forward, be that cognitive enterprise and showing very transparently what we're doing at our organization be more data-driven. And we've talked a bunch of different times. Everyone needs to be data-driven. Everyone wants to be data-driven, but it's really challenging for organizations. So what we're doing is with this blueprint which we're showing as a showcase, in fact you can actually physically come in and see our environment. But more importantly we're being very transparent on all the different components, high-level processes, what we did in governance, but also down to the Lilly Technology level and sharing that with our... Not because they want to do all of it, but maybe they want to do some of it or half of it, but it would be a blueprint that's worked. And then we're being transparent about what we're getting internally for our own transformation as IBM. Because really if we looked at this as a platform, it's really an enterprise cognitive data platform that all of IBM uses on all our transformation work. So our client, in fact, is Steven, and I think you can give what are we doing. By the way, it also, same type of infrastructure allows you to do what we did in the national labs, the largest supercomputers in the world, same infrastructure and the same thing we're trying to do, is make it easier for people to get insights from the data at scale in the enterprise. So that's why I want to bring Steven on. >> I joked with Inderpal. I said, "Well, if you can do it at IBM, "if you can do it there you can do it anywhere," (Ed laughing) because he's point oh. We're at a highly complex organization. So Steven, take us through how you got started and what you're doing. >> For sure, so I'm what's referred to probably as a difficult customer. So because we're so multifaceted we have so many different use cases internally in the orders of hundreds, it doesn't mean that I can just say, "Hey, this is a specific pattern that I need, Ed. "You need to make sure your hardware is sufficient in this area," because the next day I'm going to be hitting him and say, "Hey Ed, I need you to make sure "that it's also efficient in terms of bandwidth as well." And that's the beauty of working in this domain, is that I have those hundreds of use cases and it means that I'm hitting low latency requirements, bandwidth requirements, extensibility requirements because I have a huge number of headcount that I'm bringing on as well. And if I'm good now I don't have to worry about in six months to be stating, "Hey, I need to roll out new infrastructure "so I can support these new data scientists "and effectively so that they can get outcomes quicker." And I'd need to make sure that all the infrastructure behind the scenes is extensible and supports my users. And what I don't want them to have to worry about specifically is how that infrastructure works. I want them to focus on those use cases, those enterprise use cases, and I want them to touch as many of those use cases as possible. >> So Inderpal laid out sort of his five things that a CDO should do. He starts with develop a clear data strategy. So as the doer in the organization, how'd you go about doing that? Presumably you participated in that data strategy, but you're representing the lines of business presumably to make sure that it's of value to them. You can accelerate business value, but how did you start? I mean that's a big challenge, chewy. >> For sure, yeah, it's a huge challenge. And I think effectively curating, locating, governing, and quality aspects of that data is one of the first aspects. And where does that data reside, though, and how do we access it quickly? How does it support structured and unstructured data effectively? Those are all really important questions that had to come to light. And that's some of the approaches that we took. We look at the various business units and we look at are they curating the data correctly? Is it the data that we need? Maybe we have to augment that curation process before we actually are able to kind of apply new techniques, new machine-learning techniques, to that use case. There's a number of different aspects that kind of get rolled into that, and bringing effective storage and effective compute to the table really accelerates us in that journey. >> So Ed, what are the fundamental aspects of the infrastructure that supports this sort of emerging workload? >> Yeah, no, good question. And some of it is what we're going to talk about, what's a storage layer and what's a compute layer, but also what are the tools we're putting in place to use a lot of these open-source toolsets and make it easier for people to use but also use that underlying infrastructure better. So if you look at the high level, we use a storage infrastructure that is built for these AI workloads which is closer to an HPC workload. So the same infrastructure we use, we use the term ESS or elastic storage server. It's a combination. It's a turnkey solution, half rack, full rack. But it can start very small and grow to the biggest supercomputers in the world like what we're doing in the national labs, like the largest top five supercomputers in the world. But what that is is a file system called Spectrum Scale. Allows you to scale up at the performance but also low latency, gets added to the metadata but also high throughput. So we can do layers on that either on flash being all the hot tiers'll be on flash because it's not just the throughput you need which is high. So our lowest end box's close to like what, 26 gigabytes a second. Our highest one like national labs is 4.9 terabytes a second throughput. But it's also the low latency quick access. So we have a storage infrastructure but then we also have high-performance compute. So what we have is our Power Systems, our POWER9 Systems with GPUs, and the idea is how do you, we use the term feed the beast? How do you have the right throughput or IOPS to get the data close to that CPU or the GPU? The Power Systems have a unique bandwidth, so it's not like what you just find from a Comodo, the Intel servers. It's a much faster throughput, so it allows us to actually get data between the GPU CPU in storage or memory very fast. So you can get these deep learning times, and maybe you can share some of that. The learning times go up dramatically, so you get the insight. And then we're also putting layers on top which are IBM Cloud Private, is basically how do you have a hybrid cloud container-based service that allows you to move things seamlessly across and not have to wrestle with how to put all these things together either so it works seamlessly between a public cloud and private cloud? Then we have these toolsets, and I talked about this last time. It might not seem like storage or what you have in APU but we use the term PowerAI, is taking all these machine-learning tools because everyone always used open source. But we make them one more scale but also to ease your use. So how do you use a bunch of great GPUs and CPUs, great throughput, and how do you scale that? A lot of these tools were basically to be run on one CPU. So to be distributed, key research from IBM allows you to actually with PowerAI take the same TensorFlow workflows or dot dot dot and run it across a grid dramatically changing what you're doing from learning times. But anyway you can probably give more, I think, but it's a multiple layer. It's not one thing but it's not what you use for digital storage infrastructure, compute infrastructure for normal workloads. It is custom so you can't... A lot of people try to deploy maybe their NAS storage box and maybe it's flash and try to deploy it. And you can get going that way but then you hit a wall real quick. This is purposely built for AI. >> So Beth Smith was on earlier. She threw out a stat. She said that 85% of their, based on some research, I'm not sure if it was IBM or Forrest or Gartner, said 85% of customers they talked to said AI will be a competitive advantage but only 20% can use it today at scale. So obviously scale is a big challenge, and I want to ask you to comment on another potential challenge. We always talk about elastic infrastructure. You scale up, scale down, or end of month, okay. We sometimes use this concept of plastic infrastructure. Basically plastic maintains its shape because these workloads are so diverse. I don't want to have to rip down my infrastructure and bring in a new one every time my workload changes. So I wonder if you can talk about the sort of requirements from your perspective both in terms of scale and in terms of adaptability to changing workloads. >> Well, I think one of the things that Ed brought up that's really, really important is these open-source frameworks assume that it's running on a single system. They assume that storage is actually local, and that's really the only way that you get really effective throughput from it, is if it's local. So extending it via PowerAI, via these appliances and so forth means that you can use petabytes of storage at a distance and still have good throughput and not have those GP utilization coming down because these are very expensive devices. So if the storage is the blocker, is their controller and he's limiting that flow of data then ultimately you're not making the most effective use of those very expensive computational mediums. But more importantly it means that your time from ideation to product is slowed down, so you're not able to get those business outcomes. That means your competitor could get those business outcomes if they don't have it. And for me what's really important is I mentioned this briefly earlier, is that I need those specialists to touch as much of the data or as much as those enterprise use cases as possible. At the end of the year it's not about touching three use cases. It's the touching three this year, five, ten, more and more and more. And with the infrastructure being storage and computation, all of that is key attributes to kind of seeing that goal. >> Without having to rip that down and then repurpose building it every time. >> Steven: Yeah. >> And just being able to deal with the grid as a grid and you can place workloads across a grid. >> 100%. >> That's our Spectrum compute products that we've been doing for all the major banks in the world to do that and take these workloads and place them across a grid is also a key piece of this. So we always talk about the infrastructures being hey, Ed, that's not storage or infrastructure. No, you need that. And that's why it's part of my portfolio to actually build out the overall infrastructure for people to build on prim but also talk about everything we did with you on prim is hybrid. It's goes to the Cloud natively because some workloads we believe will be on the Cloud for good reasons, and you need to have that part of it. So everything we're going with you is hybrid cloud today, not in the future, today. >> No, 100%, and that's one of the requirements in our organization that we call A-1 architecture. If we write it for our own prim we have to be able to run it on the Cloud and it has to have the same look and feel and painted glass and things like that as well. So it means we only have to write it once, so we're incredibly efficient because we don't have to write it multiple times for different types of infrastructure. Likewise we have expectations from the data scientists that the performance all still have to be up to par as well. We want to really be moving the computation directly to where the data resides and we know that it's not just on prim, it's not in the Cloud, it's a hybrid scenario. >> So don't hate me for asking you this, Ed, but you've only been here for a couple years. Did you just stumble into this? You got this vast portfolio, you got this tooling, you got cloud. You got a part of your organization saying we got to do on prim. The other part's saying we got to do public. Or was this designed to the workload? Was kind of a little bit of both? >> Well, I think luck is good, but it's a embarrassment of riches inside IBM between our primary research, some of the things we were just talking about. How do you run these frameworks in a distributed fashion and not designed that way and do it performing at scale? That's our primary, that's research. That's not even in my group. What we're doing is for workload management. That's in storage, but we have these toolsets. The key thing is work with the clients to figure out what they're trying to do. Everyone's trying to be data-driven, so as we looked at what you need to do to be truly data-driven, it's not just having faster storage although that's important. It's not about the throughput or having to scale up. It's not about having just the CPUs. It's not just about having the open frameworks, but it's how to put that all together that we're invisible. In fact you said it earlier. He doesn't want his users to know at all what's underneath. He just wants to run their workload. You have people from my organization because I'm one of your customers. You're my customer but we go to you and say, "We're trying to use your platform "for a 360 view of the client," and our not data scientists, not data engineers, but ops team can use his platform. So anyway, so I actually think it's because IBM has its broad portfolio that we can bring together. And when IBM shows up which we're showing up in AI together in the Cloud, that's when you see something that we can truly do that you can't get from other organizations. And it's because of the technology differentiation we have from the different groups, but also the industry contacts that we bring. >> 100%. >> And also when you're dealing with data it is the trust. We can engage the clients at a high level and help them because we're not a single-product company. We might be more complex, but when we show up and bring the solution set we can really differentiate. And I think that's when IBM shows up. It's pretty powerful. >> And I think it's moved from "trust me" as well to "show me," and we're able to show it now because we're eating what we're producing. So we're showing. They called it a blueprint. We're using that effectively inside the organization. >> So now that you've sort of built this out internally you spend a lot of time with clients kind of showing them or...? >> Probably 15% of my time. >> So not that much. >> No, no, because I'm in charge of internal transformation operations. They're expecting outcomes from us. But at the same time there's clients that are in the exact same boat. The realization that this is really interesting. There's a lot of noise, a lot of interesting stuff in AI out there from Google, from Facebook, from Amazon, from all, Microsoft, but image recognition isn't important to me. How do I do it for my own organization? I have legacy data from 50 years. This is totally different, and there's no Git repo that I can go to and download them all and use it. It's totally custom, and how do I handle that? So it's different for these guys. >> What's on your wishlist? What's on Ed's to do list? >> Oh geez, uh... I want it so simple for my data scientists that they don't have to worry about where the data's coming from. Whether it be a traditional relational database or an object store, I want it to feed that data effectively and I don't want to have to have them looking into where the data is to make sure the computation's there. I want it just to flow effortlessly. That's really the wishlist. Likewise, I think if we had new accelerators in general outside the box, not something from the traditional GPU viewpoint, maybe data flow or something in new avant-garde-type stuff, that would be interesting because I think it might open up a new train of thought in the area just like GPUs did for us. >> Great story. >> Yeah I know, I think it's... So we're talking about AI for business, and I think what you're seeing is we're trying to showcase what IBM's doing to be really an AI business. And what we've done in this platform is really a showcase. So we're trying to be as transparent as possible not because it's the only way to do it but it's a good example of how a very complex business is using AI to get dramatically better and everyone's using the same kind of platform. >> Well, we learned, we effectively learned being open is much better than being closed. Look at the AI community. Because of its openness that's where we're at right now. And following the same lead we're doing the same thing, and that's why we're making everything available. You can see it and we're doing it, and we're happy to talk to you about it. >> Awesome, all right, so Steven, you stay here. >> Yeah. >> We're going to bring Sumit on and we're going to drill down into the cognitive platform. >> That's good. This guy, thanks for setting it up. I really, really appreciate it. >> Thank you very much. >> All right, good having you guys. All right, keep it right there, everybody. We'll be back at the IBM CDO Strategy Summit. You're watching theCUBE. 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