(upbeat intro music) >> Good afternoon, fellow tech nerds. My name is Savannah Peterson, coming to you from theCube's Remote Studio here in Motown, Detroit, Michigan where we are at KubeCon. John, this is our 12th interview of the day. How are you feeling? >> I'm feeling fresh as the first interview. (Savannah laughs) As always. >> That delivery really implied a level of freshness. >> Let's go! No, this is only Day 1. In three days, reinvent. We go hardcore. These are great events. We get so much great content. The conversations are amazing. The guests are awesome. They're technical, they're smart, and they're making the difference in the future. So, this next segment about Scale MySQL should be awesome. >> I am very excited to introduce our next guest who actually has a Twitter handle that I think most people, at least of my gender in this industry would love to have. She is @ATechGirl. So you can go ahead and tweet her and tell her how great this interview is while we're live. Please welcome Deepthi Sigireddi. Thank you so much for being here with us. >> Thank you for having me. >> You're feeding us in. You've got two talks you're giving while we're here. >> Yes, yes. So tomorrow we will be talking about VTR, myself and one of the other maintainers of Vitess and on Friday we have the Vitess Maintainer Talk. All graduated projects get a maintainer talk. >> Wow, so you are like KubeCon VIP celebrity. >> Well, I hope so. >> Well, you're a maintainer and technical lead, also software engineer at the PlanetScale. But talk about the graduation process where that means to the project and the people involved. >> So Vitess graduated in 2019 and there are strict criteria for graduation and you don't just have to meet the minimum, you sort of have to over perform on the graduation criteria. Some of which are like there must be at least two large production deploys and people from those companies have to go in front of the CNCF committee that approves these things and say that, "Yes, this project is critical to our business." >> A lot of peer review, a lot of deployment success. >> Yes. >> Good consistency in the code. >> Deepthi: Community diversity. >> All that. >> All those things. >> Talk about the importance of this project. What is the top story that people should know about around the project? Why it exists, why it's important, why it's relevant, why it's cool. How would you answer that? >> So MySQL is now 30 years old and yet they are still- >> Makes me feel a little sidebar. (Deepthi laughs) Yeah. >> And yet even though there are many other newer databases, it continues to be used at many of the largest internet scale companies. And some of them, for example, Slack, GitHub, Square, they have grown to a level where they could not have if they had tried to do it with Vanilla MySQL that they started with, and the only reason they are where they are is Vitess. So that is I think the number one thing people should know about Vitess. >> And the origination story on notes say "Came from YouTube." >> Yes. So the way Vitess started was that YouTube was having problems with their MySQL deployment and they got tired of dealing with the site being down. So the founders of Vitess decided that they had to do something about it and they started building Vitess which started as a pretty small, relatively code-based with limited features, and over time they built charting and all of the other things that we have today. >> Well, this is exciting Savannah because we've seen this industry. Like with Facebook, when they started, everyone built their own stuff. MySQL was a great- >> Oh gosh, and everyone wanted to build it their way, reinventing the wheel. >> And MySQL was great. And then as it kind of broke when it grew, it got retrofitted. So, it was constantly being scaled up to the point where now you guys, if I get this right, said, "Hey, we're going to work on this. We're going to make it next-gen." So it's kind of like next-gen MySQL. Almost. >> Yes, yes. I would say that's pretty accurate, yeah. So there are still large companies which run their own MySQL and they have scaled it in their own way, but Vitess happens to be an open source way of scaling MySQL that people can adopt without having to build all of their own tooling around it. >> Speaking of that and growing, you just announced a new version today. >> Yes, yes. >> Tell us about that. >> The focus in this version was to make Vitess easier to use and to deploy. So in the past, there was one glaring gap in Vitess which was that Vitess did not automatically detect and repair MySQL level failures. With this release, we've actually closed that gap. And what that means for people using Vitess is that they will actually spend less time dealing with outages manually, or less human intervention, More automated recovery is what it means. The other thing we've released today is a new web UI. Vitess had a very old web UI, ugly, hard to maintain. Nobody liked it. But it was functional, except we couldn't add anything new to it because it was so old. So, the backend functionality kept advancing but the front end was kind of frozen. Now we have a next generation UI to which in upcoming releases we can add more and more functionality. >> So, it's extensible. They add things in. >> Deepthi: Oh yes, of course. Yeah. >> Awesome. What's the biggest thing that you like about the new situation? Is it more contributors are on board the UI? What's the fresh new impact that's happening in the community? What's getting you excited about with the current project? And the UI's great 'cause usability is important. >> Deepthi: Right. >> Scalability is important. >> I think Vitess solved the scalability problem way early and only now we are really grappling with the usability problem. So the hope and the desire is to make Vitess autopilot so that you reduce human intervention to a minimum once you deploy it. Obviously, you have to go through the process of deploying it. But once you've deployed it, it should just run itself. >> Runs at scale. So, the scale's huge? >> Deepthi: Yes. >> How many contributors are involved in the project? Can you give some numbers? Do you have any handy that you can speak to? >> Right. So, CNCF actually tracks these statistics for all the projects and we consolidated some numbers for the last two full calendar years, 2020 and 2021. We had over 400 contributors and 200 plus of them contributed code and the others contributed documentation issues, website changes, and things like that. So that gives- >> How about downloads? Download's good? >> Oh, okay. So we started publishing the current official Vitess Docker Image in 2018. And by October of 2020, we had about 3.8 million downloads. And by August of 2021, we had 5.2 million. And today, we have had over 10 million downloads- >> Wow! >> Of the main image. >> Starting to see a minute of that hockey stick that we all like to see. Seems like you're very clearly a community-first leader and it seems like that's in the PlanetScale and the test's DNA. Is that how the whole company culture views it? Would you say it's community-first business? >> PlanetScale is very much committed to Vitess as an open source project and to serving the Vitess community. So as part of my role at PlanetScale, some of the things I do are helping new contributors whether they are from PlanetScale or from outside PlanetScale. A number of PlanetScale engineers who don't work full-time on Vitess still contribute bug fixes and features to Vitess. We spend a significant amount of our energy helping users in our community Slack. The releases we do are mainly for the benefit of the community and PlanetScale is making those releases because for Planet Scale... Within PlanetScale, we actually do separate releases versus the public ones. >> One of the things that's coming up here at the show is deploying on Kubernetes. How does that look like? Everyone wants ease of use. Are you guys easy to use? >> Yes, yes. So PlanetScale also open sourced a Kubernetes operator for Vitess that people outside PlanetScale are using to run their production deployments of Vitess. Prior to that, there were Vitess users who actually built their own Kubernetes deployments of Vitess and they are still running those, but new users and new adopters of Vitess tend to use the Kubernetes operator that we are publishing. >> And you guys are the managed service for Vitess for the people that that's the business model for PlanetScale. >> Correct. So PlanetScale has a serverless database on demand which is built on Vitess. So if someone's starting something new and they just need a database, you sign up. It takes 30 seconds to get a database. Connect to it and start doing things with it. Versus if you are a large enterprise and you have a huge database deployment, you can migrate to PlanetScale, import all of your existing data, cut over with minimal downtime and then go, and then PlanetScale manages that. >> And why would they do that? What's the use case for that? Save time new development team or refactoring? >> Save time not being able to hire people with the skills to run it in-house. Not wanting to invest engineering resources in what businesses think is not their core competency. They want to focus on their business value. >> So, this database is a service in their whatever they're doing without adding more costs. >> Right. >> And speed. Okay, cool. How's that going? >> It's going well. >> Any feedback from customers in terms of why that there are any benefit statements you seek popping out? What are the big... What's the big aha when they... When people realize what they have here, what's the aha moment for them? Do they go, "Wow, this is awesome. It's so easy. Push a button. Migrate." Or is it... >> All of those. And people have actually seen cost savings when they've migrated from Amazon RDS to PlanetScale and we have testimonials from people who've said that, "It was so easy to use PlanetScale. Why would we try to do it ourselves?" >> It's the best thing a customer could say, right? We're all about being painkillers and solving some sort of problem. I think that that's a great opportunity to let you show off some of your customers. So, who is receiving this benefit? 'Cause I know PlanetScale specifically is for a certain style of business. >> Hmm. We have a list of customers on the website. >> Savannah: I was going to say you have a really- >> John: She's a software engineer. She's not marketing. >> You did sexy. >> You're doing a great job as much as marketing. >> So the reason I am bringing this up is because it's clear this is a solution for companies like Square, SoundCloud, Etsy, Jordan, and other exciting brands. So when you're talking about companies at scale, these companies are very much at scale, which is awesome. >> Yeah. >> What's next? What do you guys see the future for the project? >> I think we talked about that a little bit already. So, usability is a big thing. We did the new UI. It's not complete, right? Because over the last four years we've built more features into the backend which you can't yet access from the UI. So we want to be able for people to use things like online schema changes which is a big feature of Vitess. Doing schema changes without downtime from the UI. So, schema management from the UI. Vitess has something called VReplication which is the core technology that enables charting. And right now you can from the UI monitor your charting status, but you can't actually start charting from the UI. So more of the administrative functions we want to enable from the UI. >> John: Awesome. >> Last question. What are you personally most excited about this week being here with our wonderful community? >> I always enjoy being at KubeCon. This is my fifth or sixth in-person and I've done a couple of virtual ones. >> Savannah: Awesome. >> Because of the energy, because you get to meet people in person whom previously you've only met in Slack or maybe in a monthly community Zoom calls. We always have people come to our project booth. We have a project booth here for Vitess. People come to the company booth. PlanetScale has a booth. People come to our talks, ask questions. We end up having design discussions, architecture discussions. We get feedback on what is important to the people who show up here. That always informs what we do with the project in future releases. >> Perfect answer. I already mentioned that you can get a hold and in touch with Deepthi through her wonderful Twitter handle. Is there any other website or anything you want to shout out here before I do our close? >> vitess.io. V-I-T-E-S-S dot I-O is the Vitess website and planetscale.com is the PlanetScale website. >> Deepthi Sigireddi, thank you so much for being on the show with us today. John, thanks for keeping me company as always. >> You're welcome. >> And thank all of you for tuning into theCUBE. We will be here in Detroit, Michigan all week live from KubeCon and we hope to see you there. (gentle upbeat music)

>>We're here live in Las Vegas with a cubes coverage of Amazon re Mars. It's a reinvent re Mars reinforced. The big three shows called the res. This is Mars machine learning, automation, robotic and space. It's a program about the future it and the future innovation around industrial cloud scale climate change the moon, a lot of great topics, really connecting all the dots together here in Las Vegas with Amazon re Mars I'm John ER, host of the cube. Our first guest is Howard Hughes program manager, necess Ryan program. Howard is involved with all the action and space and the moon project, which we'll get into Howard. Thanks for coming on the cube. >>Well, Hey, thanks for having me here this morning. Appreciate you guys inviting me here. >>So this show is not obvious to the normal tech observer, the insiders in, in the industry. It's the confluence of a lot of things coming together. It's gonna be obvious very soon because the stuff they're showing here is pretty impressive. It's motivating, it's positive and it's a force for change in good. All of it coming together, space, machine learning, robotics, industrial, you have one of the coolest areas, the space what's going on with your Orion program. You guys got the big moon project statement to >>Explain. Well, let me tell you, I'll start with Orion. Orion is our next human space craft. That's gonna take humans beyond low earth orbit and we're part of the broader Artis campaign. So Artis is our plan, our NASA plan to return the first person of color, first woman, back to the moon. And we're very excited to do that. We have several missions that I could talk to you about starting with in a very few months, Artis one. So Artis one is going to fly on the space launch system, which is gonna be the biggest rocket we call the mega rocket has been built since the Saturn five on top of the SLS is the Ryan spacecraft and that Ryan spacecraft houses four crew members for up to 21 days in deep space. And we'll have an unru test in a few months launch on the S SLS. And Orion's gonna go around the moon for up to 40 days on Aus two, we will have the first test of the humans on board Orion. So four people will fly on Aus two. We will also circle the moon for about 10 to 12 days. And then our third mission will be our landing. >>So the moon is back in play, obviously it's close to the earth. So it's a short flight, relatively speaking the Mars a little bit further out. I'll see everyone as know what's going on in Mars. A lot of people are interested in Mars. Moon's closer. Yes, but there's also new things going on around discovery. Can you share the big story around why the moon what's? Why is the moon so important and why is everyone so excited about it? >>Yeah. You, you know, you know, coming to this conference and talking about sustainability, you know, I mean it is exploration is I think ingrained in our DNA, but it's more than just exploration is about, you know, projecting human presence beyond our earth. And these are the stepping stones. You know, we talk about Amazon talked about day one, and I think about, we are on those very early days where we're building the infrastructure Ryans of transportation infrastructure, and we're gonna build infrastructure on the moon to learn how to live on a surface and how to utilize the assets. And then that's very important because you know, it's very expensive to carry fuel, to carry water and all the necessities that you need to survive as a human being and outer space. If you can generate that on the surface or on the planet you go to, and this is a perfect way to do it because it's very in your backyard, as I told you earlier. So for future mission, when you want to go to Mars, you're nine months out, you really wanna make sure you have the technologies and you're able to utilize those technologies robustly and in a sustainable way. >>Yeah, we were talking before you came on, came camera camping in your backyard is a good practice round. Before you go out into the, to the wilderness, this is kind of what's going on here, but there's also the discovery angle. I mean, I just see so much science going on there. So if you can get to the moon, get a base camp there, get set up, then things could come out of that. What are some of the things that you guys are talking about that you see as possible exploration upside? >>Yeah. Well, several things. One is power generation recently. We just released some contracts that from vision power, so long, sustainable power capability is very, very important. You know, the other technologies that you need utilize is regenerative, you know, air, water, things that are, you need for that, but then there's a science aspect of it, which is, you know, we're going to the south pole where we think there's a lot of water potentially, or, or available water that we can extract and utilize that to generate fuel. So liquid hydrogen liquid oxygen is one of the areas that are very interesting. And of course, lunar minerals are very exciting, very interesting to bring and, and, and be able to mine potentially in the future, depending on what is there. >>Well, a lot of cool stuff happening. What's your take on this show here, obviously NASA's reputation as innovators and deep technologists, you know, big moonshot missions, pun intended here. You got a lot of other explorations. What's this show bring together, share your perspective because I think the story here to me is you got walkout retail, like the Amazon technology, you got Watson dynamics, the dog, everyone loves that's walking on. Then you got supply chain, robotics, machine learning, and space. It all points to one thing, innovation around industrial. I think what, what, what's your, what's your, what's your take? >>You know, I think one of the things is, is, you know, normally we are innovating in a, in our aerospace industry. You know, I think there's so much to learn from innovation across all these areas you described and trying to pull some of that into the spacecraft. You know, when, when you're a human being sitting in spacecraft is more than just flying the spacecraft. You know, you have interaction with displays, you have a lot of technologies that you normally would want to interact with on the ground that you could apply in space to help you and make your tasks easier. And I think those are things that are really important as we look across, you know, the whole entire innovative infrastructure that I see here in this show, how can we extract some that and apply it in the space program? I think there is a very significant leveraging that you could do off of that. >>What are some of the look at what's going on in donors? What are some of the cool people who aren't following the day to day? Anything? >>Well, well, certainly, you know, the Artman's mission Artis campaign is one of the, the, the coolest things I could think of. That's why I came into, you know, I think wrapping around that where we are not only just going to a destination, but we're exploring, and we're trying to establish a very clear, long term presence that will allow us to engage. What I think is the next step, which is science, you know, and science and the, and the things that can, can come out of that in terms of scientific discoveries. And I think the cool, coolest thing would be, Hey, could we take the things that we are in the labs and the innovation relative to power generation, relative to energy development of energy technologies, robotics, to utilize, to help explore the surface. And of course the science that comes out of just naturally, when you go somewhere, you don't know what to expect. And I think that's what the exciting thing. And for NASA, we're putting a program, an infrastructure around that. I think that's really exciting. Of course, the other parts of NASA is science. Yeah. And so the partnering those two pieces together to accomplish a very important mission for everybody on planet earth is, is really important. >>And also it's a curiosity. People are being curious about what's going on now in space, cuz the costs are down and you got universities here and you got the, of robotics and industrial. This is gonna provide a, a new ground for education, younger, younger generation coming up. What would you share to teachers and potential students, people who wanna learn what's different about now than the old generation and what's the same, what what's the same and what's new. What's how does someone get their arms around this, their mind around it? Where can they jump in? This is gonna open up the aperture for, for, for talent. I mean with all the technology, it's not one dimensional. >>Yeah. I think what is still true is core sciences, math, you know, engineering, the hard science, chemistry, biology. I mean, I think those are really also very important, but what we're we're getting today is the amount of collaboration we're able to do against organically. And I think the innovation that's driven by a lot of this collaboration where you have these tools and your ability to engage and then you're able to, to get, I would say the best out of people in lots of different areas. And that's what I think one of the things we're learning at NASA is, you know, we have a broad spectrum of people that come to work for us and we're pulling that. And now we're coming to these kinds of things where we're kind getting even more innovation ideas and partnerships so that we are not just off on our own thinking about the problem we're branching out and allowing a lot of other people to help us solve the problems that >>We need. You know, I've noticed with space force too. I had the same kind of conversations around those with those guys as well. Collaboration and public private partnerships are huge. You've seen a lot more kind of cross pollination of funding, col technology software. I mean, how do you do break, fix and space at software, right? So you gotta have, I mean, it's gotta work. So you got security challenges. Yeah. This is a new frontier. It is the cybersecurity, the usability, the operationalizing for humans, not just, you know, put atypical, you know, scientists and, and, and astronauts who are, you know, in peak shape, we're talking about humans. Yeah. What's the big problem to solve? Is it security? Is it, what, what would you say the big challenges >>Are? Yeah. You know, I think information and access to information and how we interact with information is probably our biggest challenge because we have very limited space in terms of not only mass, but just volume. Yeah. You know, you want to reserve the space for the people and they, they need to, you know, you want maximize your space that you're having in spacecraft. And so I think having access to information, being able to, to utilize information and quickly access systems so you can solve problems cuz you don't know when you're in deep space, you're several months out to Mars, what problems you might encounter and what kind of systems and access to information you need to help you solve the problems. You know, both, both, both from a just unplanned kind of contingencies or even planned contingencies where you wanna make sure you have that information to do it. So information is gonna be very vital as we go out into deep >>Space and the infrastructure's changed. How has the infrastructure changed in terms of support services? I mean see, in the United States, just the growth of a aerospace you mentioned earlier is, is just phenomenal. You've got smaller, faster, cheaper equipment density, it solved the technology. Where's there gonna be the, the big game changing move movement. Where do you see it go? Is it AIST three? It kind of kicks in AIST ones, obviously the first one unmanned one. But where do in your mind, do you see key milestones that are gonna be super important to >>Watch? I think, I think, I think, you know, we've already, you know, pushed the boundaries of what we, we are, you know, in terms of applying our aerospace technologies for AIST one and certainly two, we've got those in, in work already. And so we've got that those vehicles already in work and built yeah. One already at the, at the Kennedy space center ready for launch, but starting with three because you have a lot more interaction, you gotta take the crew down with a Lander, a human landing system. You gotta build rovers. You've gotta build a, a capability which they could explore. So starting with three and then four we're building the gateway gateways orbiting platform around the moon. So for all future missions after Rist three, we're gonna take Aion to the gateway. The crew gets into the orbiting platform. They get on a human landing system and they go down. >>So all that interaction, all that infrastructure and all the support equipment you need, not only in the orbit of the moon, but also down the ground is gonna drive a lot of innovation. You're gonna have to realize, oh, Hey, I needed this. Now I need to figure out how to get something there. You know? And, and how much of the robotics and how much AI you need will be very interesting because you'll need these assistance to help you do your daily routine or lessen your daily routine. So you can focus on the science and you can focus on doing the advancing those technologies that you're gonna >>Need. And you gotta have the infrastructure. It's like a road. Yeah. You know, you wanna go pop down to the moon, you just pop down, it's already built. It's ready for you. Yep. Come back up. So just ease of use from a deployment standpoint is, >>And, and the infrastructure, the things that you're gonna need, you know, what is a have gonna look like? What are you gonna need in a habitat? You know, are, are you gonna be able to have the power that you're gonna have? How many station power stations are you gonna need? Right. So all these things are gonna be really, things are gonna be driven by what you need to do the mission. And that drives, I think a lot of innovation, you know, it's very much like the end goal. What are you trying to solve? And then you go, okay, here's what I need to solve to build things, to solve that >>Problem. There's so many things involved in the mission. I can imagine. Safety's huge. Number one, gotta be up safe. Yep. Space is dangerous game. Yes. Yeah. It's not pleasant there. Not for the faint of heart. As you say, >>It's not for the faint >>Heart. That's correct. What's the big safety concerns obviously besides blowing up and oxygen and water and the basic needs. >>I think, I think, you know, I think you, you said it very well, you know, it is not for the faint of heart. We try to minimize risk. You know, asset is one of the big, you're sitting under 8.8 million pounds of thrust on the launch vehicle. So it is going very fast and you're flying and you, and, and it's it's light cuz we got solid rocket motors too as well. Once they're lit. They're lit. Yeah. So we have a escape system on Orion that allows a crew to be safe. And of course we build in redundancy. That's the other thing I think that will drive innovation. You know, you build redundancy in the system, but you also think about the kind of issues that you would run into potentially from a safety perspective, you know, how you gonna get outta situation if you get hit by a meteor, right? Right. You, you, you are going through the band, Ellen belt, you have radiation. So you know, some of these things that are harsh on your vehicle and on, on the human side of this shop too. And so when you have to do these things, you have to think about what are you gonna protect for and how do you go protect for that? And we have to find innovations for >>That. Yeah. And it's also gonna be a really exciting air for engineering work. And you mentioned the data, data's huge simulations, running scenarios. This is where the AI comes in. And that seems to me where the dots connect from me when you start thinking about how to have, how to run those simulations, to identify what's possible. >>I think that's a great point, you know, because we have all this computing capability and because we can run simulations and because we can collect data, we have terabytes of data, but it's very challenging for humans to analyze at that level. So AI is one of the things we're looking at, which is trying to systematically have a process by which data is called through so that the engineering mind is only looking at the things and focus on things that are problematic. So we repeat tests, every flight, you don't have to look at all the terabytes of data of each test. You have a computer AI do that. And you allow yourself to look at just the pieces that don't look right, have anomalies in the data. Then you're going to do that digging, right. That's where the power of those kinds of technologies can really help us because we have that capability to do a lot of computing. >>And I think that's why this show to me is important because it, it, it shows for the first time, at least from my coverage of the industry where technology's not the bottleneck anymore, it's human mind. And we wanna live in a peaceful world with climate. We wanna have the earth around for a while. So climate change was a huge topic yesterday and how the force for good, what could come outta the moon shots is to, is to help for earth. >>Yeah. >>Yeah. Better understanding there all good. What's your take on the show. If you had to summarize this show, re Mars from the NASA perspective. So you, the essence space, what's the what's going on here? What's the big, big story. >>Yeah. For, for me, I think it's eyeopening in terms of how much innovation is happening across a spectrum of areas. And I look at various things like bossy, scientific robots that the dog that's walking around. I mean to think, you know, people are applying it in different ways and then those applications in a lot of ways are very similar to what we need for exploration going forward. And how do you apply some of these technologies to the space program and how do we leverage that? How do we leverage that innovation and how we take the innovations already happening organically for other reasons and how would those help us solve those problems that we're gonna encounter going forward as we try to live on another planet? >>Well, congratulations on a great assignment. You got a great job. I do super fun. I love being an observer and I love space. Love how at the innovations there. And plus space space is cool. I mean, how many millions of live views do you see? Everyone's stopping work to watch SpaceX land and NASA do their work. It's just, it's bringing back the tech vibe. You know what I'm saying? It's just, it's just, things are going you a good tailwind. Yeah. >>Congratulations. Thank you very much. >>Appreciate it on the, okay. This cube coverage. I'm John fur. You're here for the cube here. Live in Las Vegas back at reinvent reinforce re Mars, the reser coverage here at re Mars. We'll be back with more coverage after this short break.

(high intensity music) >> Everyone, welcome back to theCube coverage of AWS, Amazon Web Services, Public Sector Summit live in D.C. We're in-person, I'm John Furrier, the host of theCube. I'm here with Max Peterson, the Head of Public Sector, Vice President. Max, great to see you in in-person event. >> Great to be here. We're in-person and we're also live streaming. So, we're here, however customers, however partners want to participate. >> I got to say, I'm very impressed with the turnout. The attendance is strong. People excited to be here. We're not wearing our masks cause we're on stage right now, but great turnout. But it's a hybrid event. >> It is. >> You've got engagement here physically, but also digitally as well with theCube and other live streams everywhere. You're putting it everywhere. >> It's been a great event so far. We did a pre-day yesterday. We had great participation, great results. It was about imagining education. And then today, from the executive track to the main tent, to all of the learning, live streaming 'em, doing things in person. Some things just don't translate. So, they'll won't be available, but many things will be available for viewing later as well. So all of the breakout sessions. >> The asynchronous consumption, obviously, the new normal, but I got to say, I was just on a break. I was just walking around. I heard someone, two people talking, just cause I over walk pass them, over hear 'em, "Yeah, we're going to hire this person." That's the kind of hallway conversations that you get. You got the programs, you got people together. It's hard to do that when you're on a virtual events. >> Max: It's hard. The customers that we had up on stage today, the same sort of spontaneity and the same sort of energy that you get from being in-person, it's hard to replicate. Lisa from State of Utah, did a great job and she got an opportunity to thank the team back home who drove so much of the innovation and she did it spontaneously and live. You know, it's a great motivator for everybody. And then Lauren from Air force was phenomenal. And Suchi, our "Imagine Me and You" artist was just dynamite. >> I want to unpack some of that, but I want to just say, it's been a really change of a year for you guys at Public Sector. Obviously, the pandemic has changed the landscape of Public Sector. It's made it almost like Public-Private Sector. It's like, it seems like it's all coming together. Incredible business performance on your end. A lot of change, a lot of great stuff. >> We had customers we talked today with SBA, with VA, with NASA, about how they just embraced the challenge and embraced digital and then drove amazing things out onto AWS. From the VA, we heard that they took tele-health consultations. Get this from 25,000 a month to 45,000 a day using AWS and the Cloud. We heard SBA talk about how they were able to turn around the unemployment benefits programs, you know, for the unemployed, as a result of the traumatic impact of the COVID-19 pandemic in a matter of weeks. And then, scaled their systems up just to unbelievable heights as President Biden announced the news. >> You had a lot of announcement. I want to get to a couple of them. One of them was the health equity thing. What is that about? Take us through that announcement. >> So the pandemic, it was hard. It was traumatic in a lot of different ways. It also turned into this little innovation laboratory, but one of the things that it laid bare more than anything else where the inequities associated with some of these systems that had to spring into action. And in particular, in the space of health, healthcare equity. We saw simply communities that didn't have access and weren't included in the same sorts of responses that the rest of the community may have been included in. And so we launched this global initiative today to power health equity solutions. It's a $40 million program. Lasts for three years. And it's open to customers or it's open to partners. Anybody who can contribute to three different areas of health equity. It's people who are leveraging data to build more equal, more sustainable health systems. Is people that are using analytics to do greater study of socioeconomic and social situational conditions that contribute to health inequities. And then finally, it's about building systems that deliver more equitable care to those who are underserved around the world. >> So, just to get this right, 40 million. Is that going to go towards the program for three years and are you going to dolo that out or as funding, or is that just a fund the organization? >> It's actually very similar to the development diagnostic initiative that we ran when COVID hit. We've launched the program. We're welcoming applications from anybody who is participating in those three developmental areas. They'll get Cloud credits. They'll get technical consulting. They may need professional services. They'll get all manner of assistance. And all you have to do is put in an application between now and November 15th for the first year. >> That's for the health equity? >> For the health equity. >> Got it. Okay, cool. So, what's the other news? You guys had some baseline data, got a lot of rave reviews from ACORE. I interviewed Constance and Thompson on the Cube earlier. That's impressive. You guys really making a lot of change. >> Well, you're hundred percent right. Sustainability is a key issue from all of our customers around the world. It's a key issue for us, frankly, as inhabitants of planet earth, right? >> John: Yeah. >> But what's really interesting is we've now got governments around the world who are starting to evaluate whether they're not their vendors have the same values and sustainability. And so that the AWS or the Amazon Climate Pledge is a game changer in terms of going carbon zero by 2040, 10 years ahead of most sort of other programs of record. And then with ACORE, we announced the ability to actually start effecting sustainability in particular parts around the world. This one's aim at that. >> But the key there is that, from what I understand is that, you guys are saying a baseline on the data. So, that's an Amazonian kind of cultural thing, right? Like you got to measure, you can't know what you're doing. >> The world is full of good intentions, but if you want to drive change at scale, you've got to figure out a way to measure the change. And then you've got to set aggressive goals for yourself. >> That's really smart. Congratulations! That's a good move. Real quick on the announcement at re:Invent, you've talked about last re:Invent, you're going to train 29 million people. Where are you on that goal? >> Well, John, we've been making tremendous progress and I'm going to use theCube here to make a small teaser. You know, stay tuned for our re:Invent conference that comes up shortly because we're actually going to be sharing some more information about it. But we've done digital trainings, self-training, online skills workshops. We just took a program called re/Start, which serves an unemployed or underemployed individuals. We launched that around the world and we're really excited. Today, we announced we're bringing it to Latin America too. So we're expanding into Colombia, Mexico, Peru, Brazil, and Argentina. And the amazing thing about that re/Start program, it's a 12 week intensive program. Doesn't require skills in advance. And after 12 weeks, 90% of the people graduating from that course go right onto a job interview. And that's the real goal, not just skills, but getting people in jobs. >> Yeah. The thing about the Cloud. I keep on banging the drum. I feel like I'm beating a dead horse here, but the level up, you don't need to have a pedigree from some big fancy school. The Cloud, you can be like top tier talent from anywhere. >> And you heard it from some of our speakers today who said they literally helped their teams bootstrap up from old skills like COBOL, you know, to new skills, like Cloud. And I will tell you, you know, right now, Cloud skills are still in a critical shortage. Our customers tell us all the time they can use every single person we can get to 'em. >> I'm going to tell my son, who's a sophomore in CS. I'm like, "Hey, work on COBOL Migration to AWS. You'll be a zillionaire." (John and Max laughs) No one knows what the passwords of the COBOL. I love that 80s jazzy jokes from two re:Invents ago. (John laughs) I got to ask you about the National-Local Governments, how they're monetizing Cloud of the past 18 months. What have you seeing at that level? >> Yeah. National and Local Governments, of course, were tremendously impacted first by the pandemic itself and the health concerns around it, but then all of the secondary effects, you know, unemployment. And immediately, you needed to put into action unemployment benefits systems. We work with the U.S. Small Business Administration, 15 other States across the U.S. You know, to have those systems in place in like weeks to be able to serve the unemployed as a result of the COVID-19 pandemic. Then you saw things progress, to the point where we had States across the country, standing up call centers on Amazon Connect. Instantly, they could have a high scalable volume call center that was situated for their instantly remote workforce, as opposed to their old call center technology. So, across the U.S. we saw those. And in fact, around the world, as governments mobilized to be able to respond to citizens. But the final thing that I think is really incredible, is though is the way that the AWS teams and partners sprung into action to work with National Governments around the world. Over 26 National Governments run their vaccine management scheduling systems on AWS. The largest to date, being in India, where in a single day, the vaccine management system scheduled and conducted 22.5 million vaccinations. Which is more than the population of New York State in one week and one day. >> Wow. That's good. That's great progress. I got to say, I mean, that kind of impact is interesting. And we had Shannon Kellogg on earlier, talking about the Virginia impact with the Amazon $220 million being spread over a few Counties just in one year. The partnership between business... and governments with the Cloud, so much more agility. This really strikes at the core of the future of government. >> Max: I think so. People have talked about private-public partnerships for a long time. I'm really proud of some of the work that Amazon and the whole team is doing around the world in those types of public private partnerships. Whether they're in skilling and workforce with partnerships, like eight different States across the U.S. to deliver skills, training through community college based systems. Whether it's with healthcare systems. Like NHS or GEL over in the UK, to really start applying cloud-scale analytics and research to solve the problems that eventually you're going to get us to personalized healthcare. >> That's a great stuff. Cloud benefits are always good. I always say the old joke is, "You hang around the barbershop long enough, you'll get a haircut." And if you get in the Cloud, you can take advantage of the wave. If you don't get on the wave, your driftwood. >> And States found that out, in fact. You'd have customers who were well on their journey. They were really able to turn on a dime. They pivoted quickly. They delivered new mission systems with customers. Those who hadn't quite progressed to the same state, they found out their legacy. IT systems were just brittle and incapable of pivoting so quickly to the new needs. And what we found, John, was that almost overnight, a business, government, which was largely in-person and pretty high touch had to pivot to the point where their only interaction was now a digital system. And those who- >> John: Middle of the day, they could have race car on the track, like quickly. >> Well, we've got it. We do have race cars on the track, right? Every year we've got the artificial intelligence powered Amazon DeepRacer and Red River on the track. >> I can see it. Always a good showing. Final question. I know you got to go on and I appreciate you coming on- >> It's been great. >> with all your busy schedule. Looking ahead. What tech trends should we be watching as Public Sector continues to be powered by this massive structural change? >> Well, I think there's going to be huge opportunity in healthcare. In fact, this afternoon at four o'clock Eastern, we're talking with Dr. Shafiq Rab from Wellforce. He and folks at Veterans Affairs to tell you telehealth and telemedicine are two, the areas where there's still the greatest potential. The number of people who now are serviced, and the ability to service a population far more broadly dispersed, I think has dramatic potential in terms of simply making the planet more healthy. >> Like you said, the pandemics have exposed the right path and the wrong path. And agility, speed, new ways of doing things, telemedicine. Another example, I interviewed a great company that's doing a full stack around healthcare with all kinds of home, agents, virtual agents, really interesting stuff. >> It is. I think it's going to change the world. >> John: Max Peterson, Head of Public Sector. Thank you for coming on theCube, as always. >> John, it's my pleasure. Love the cube. We've always had a good time. >> Yeah. Great stuff. >> Peter: We'll keep on making this difference. >> Hey, there's too many stories. We need another Cube here. So many stories here, impacting the world. Here at the Amazon Web Services Public Sector Summit. I'm John Furrier, your host. Thanks for watching. (soft music)

>>Yeah, >>approximately two years after HP split into two separate companies, antonioni Ranieri was named president and Ceo of Hewlett Packard Enterprise. Under his tenure, the company has streamlined its operations, sharpened his priorities, simplified the product portfolio and strategically aligned its human capital with key growth initiatives. He's made a number of smaller but high leverage acquisitions and return the company to growth while affecting a massive company wide pivot to an as a service model. Welcome back to HPD discovered 2021. This is Dave Volonte for the cube and it's my pleasure to welcome back Antonio Neary to the program. Antonio it's been a while. Great to see you again. >>Hi, Dave. Thanks for having me. >>That's really our pleasure. It was just gonna start off with the big picture. Let's talk about trends. You're a trend spotter. What do you see today? Everybody talks about digital transformation. We had to force marks to digital last year. Now it's really come into focus. But what are the big trends that you're seeing that are affecting your customers transformations? >>Well, Dave, I mean obviously we have been talking about digital transformation for some time uh in our view is no longer a priority is a strategic imperative. And through the last 15 months or so since we have been going through the pandemic, we have seen that accelerated to a level we haven't never seen before. And so what's going on is that we live in a digital economy and through the pandemic now we are more connected than ever. We are much more distributed than ever before and an enormous amount of data is being created and that data has tremendous value. And so what we see in our customer's name, more connectivity, they need a platform from the edge to the cloud to manage all the data and most important they need to move faster and extracting that inside that value from the data and this is where HP is uniquely positioned to deliver against those experiences and way we haven't imagined before. >>Yeah, we're gonna dig into that now, of course you and I have been talking about data and how much data for decades, but I feel like we're gonna look back at 2030 and say, wow, we never, we're not gonna do anything like that. So we're really living in a data centric era as the curves are going exponential, What do you see? How do you see customers handling this? How are they thinking about the opportunities? >>Well, I think, you know, customer realized now that they need to move faster, they need to absolutely be uh much more agile and everything. They do, they need to deploy a cloud experience for all the work clothes and data that they manage and they need to deliver business outcomes to stay ahead of the competition. And so we believe technology now plays even a bigger role and every industry is a technology industry in many ways, every company, right, is a technology company, whether your health care, your manufacturer, your transportation company, you are an education, everybody needs more. It no less. It but at the same time they want the way they want to consumer dave is very different than ever before, right? They want an elastic consumption model and they want to be able to scale up and down based on the needs of their enterprise. But if you recall three years ago, I knew and I had this conversation, I predicted that enterprise of the future will be edge century, cloud enable and data driven. The edge is the next frontier, we said in 2018 and think about it, you know, people now are working remotely and that age now is much more distribute than we imagined before. Cloud is no longer a destination, it is an experience for all your apps and data, but now we are entering what we call the edge of insight, which is all about that data driven approach and this is where all three have to come together in ways that customer did envision before and that's why they need help. >>So I see that, I see the definition of cloud changing, it's no longer a set of remote services, you know, somewhere up there in the cloud, it's expanding on prem cross clouds, you mentioned the edge and so that brings complexity. Every every company is a technology company but they may not be great at technology. So it seems that there are some challenges around there, partly my senses, some of some of what you're trying to do is simplify that for your customers. But what are the challenges that your customers are asking you to solve? >>Well, the first they want a consistent and seamless experience, whatever that application and data lives, so, you know, for them, you know, they want to move away from running it to innovate in our 90 and then obviously they need to move much faster. As I said earlier about this data driven approaches. So they need help because obviously they need to digitize every every aspect of the company, but at the same time they need to do it in a much more cost effective way. So they're asking for subject matter expertise on process engineering. They're asking for the fighting the right mix of hybrid experiences from the edge to cloud and they need to move much faster at scale in deploying technologies like Ai deep learning and machine learning and Hewlett Packard Enterprise uh is extremely well positioned because we have been building an age to club platform where you provide connectivity where you bring computing and storage uh in a softer, define scalable way that you can consume as a service. And so we have great capabilities without HP Point next technology services and advice and run inside. But we have a portfolio with HP Green Lake, our cloud services, the cloud that comes to you that are addressing the most critical data driven warlords. >>Probably about 24 months ago you announced that HP was was going to basically go all in on as a service and get there by by 2022 for all your solutions. I gotta get, I gotta say you've done a good job communicating the Wall Street, I think, I think culturally you've really done a good job of emphasizing that to your, to the workforce. Uh, but but how should we measure the progress that you've made toward that goal? How our customers responding? I I know how the markets responding, you know, three or four year big competitors have now announced. But how should we measure, you know, how you're tracking to that goal? >>Well, I think, you know, the fact that our competitors are entering the other service market is a validation that our vision was right. And that's that's that's good because in the end, you know, it tells us we are on the right track. However, we have to move much faster than than ever before. And that's why we constantly looking for ways to go further and faster. You're right. The court of this is a cultural transformation. Engineering wise, once you state, once you state the North Star, we need to learn our internal processes to think Cloud first and data first versus infrastructure. And we have made great progress. The way we measure ourselves. Dave is very simple is by giving a consistent and transparent report on our pivot in that financial aspect of it, which is what we call the annualized revenue run rate, which we have been disclosed enough for more than a year and a half. And this past quarter grew 30% year over year. So we are on track to deliver a 30-40% Kegel that we committed two years ago And this business going to triple more than uh more than one year from now. So it's gonna be three times as bigger as we enter 2022 and 2023. But in the end, it's all about the experience you deliver and that's why architecturally uh while we made great progress. I know there is way more work to be done, but I'm really excited because what we just announced here this week is just simply remarkable. And you will see more as we become more a cloud operating driven company in the in the next months and years to come. >>I want to ask you kind of a personal question. I mean, COVID-19 is you know, sharpened our sensitivity and empathy to to a lot of different things. Uh and I think uh ceos in your position of a large tech company or any large company, they really can't just give lip service to things like E. S. G. Or or ethical uh digital transformation, which is something that you've talked about in other words, making sure that it's inclusive. Everybody is able to participate in this economy and not get left behind. What does this mean to you personally? >>Well, they remember I'm in a privileged position, right? Leading a company like Hewlett Packard Enterprise that has Hewlett and Packard on the brand is an honor, but it's also a big responsibility. Let's remember what this company stands for and what our purpose is, which is to advance the way people live and work, and in that we have to be able to create a more equitable society and use this technology to solve some of the biggest societal challenge you have been facing The last 18 months has been really hard on a number of dimensions, not just for the business but for their communities. Uh, we saw disruption, we saw hardships on the financial side, we saw acts of violence and hatred. Those are completely unacceptable. But if we work together, we can use these technologies to bring the community together and to make it equitable. And that's one is one of my passion because as we move into this digital economy, I keep saying that connecting people is the first step and if you are not connected, you're not going to participate. Therefore we cannot afford to create a digital economy for only few. And this is why connectivity has to become an essential service, not different than water and electricity. And that's why I have passion and invest my own personal time working with entities like World Economic Forum, educating our government, right, Which is very important because both the public sector and the private sector have to come together. And then from the technology standpoint, we have to architect these things that are commercially accessible and viable to everyone. And so it's uh it's I will say that it's not just my mission. Uh this is top of mind for many of my colleagues ceos that talked all the time and you can see of movement, but at the same time it's good for business because shareholders now want to invest in companies that take care about this, how we make, not just a word more inclusive and equitable, but also how we make a more sustainable and we with our technologies, we can make the world way more sustainable with circular economy, power, efficiency and so forth. So a lot of work to be done dave but I'm encouraged by the progress but we need to do way way more. >>Thank you for that Antonio. I want to ask you about the future and I want to ask you a couple of different angles. So I want to start with the edge. So it seems to me that you're you're building this vision of what I call a layer that abstracts the underlying complexity of the whether it's the public cloud across clouds on prem and and and the edge and it's your job to simplify that. So I as the customer can focus on more strategic initiatives and that's clearly the vision that you guys are setting forth on. My question is is how far do you go on the edge? In other words, it seems to me that Aruba for example, for example, awesome acquisition could go really, really deep into the far edge, maybe other parts of your portfolio, you're kind of more looking at horizontal. How should we think about HP. Es, positioning and participation in that edge opportunity? >>Well, we believe we are becoming one of the merger leaders at the intelligent edge. Right? These edges becoming way more intelligent. We live in a hyper connected world and that will continue to grow at an exponential pace. Right? So today we we may have billions of people and devices pursue. We're entering trillions of things that will be connected to the network. Uh, so you need a platform to be able to do with the scale. So there is a horizontal view of that to create these vertical experiences which are industry driven. Right? So one thing is to deliver a vertical experience in healthcare versus manufacturer transportation. And so we take a really far dave I mean, to the point that we just, you know, put into space 256 miles above the Earth, a supercomputer that tells you we take a really far, but in the end, it's about acting where the data is created and bringing that knowledge and that inside to the people who can make a difference real time as much as possible. And that's why I start by connecting things by bringing a cloud experience to that data, whatever it lives because it's cheaper and it's way more economical and obviously there's aspects of latest in security and compliance. They have to deal with it and then ultimately accelerate that inside into some sort of outcome. And we have many, many use cases were driving today and Aruba is the platform by the way, which we have been using now to extend from the edge all the way to the core into the cloud business. And that's why you HP has unique set of assets to deliver against that opportunity. >>Yes, I want to talk about some of the weapons you have in your arsenal. You know, some people talk about, hey, well we have to win the architectural battle for hybrid cloud. I've heard that statement made, certainly HP is in that battle. It's not a zero sum game, but you're a player there. And so when I, when I look at as a service, great, you're making progress there. But I feel like there's more, there's, there's architecture there, you're making acquisitions, you're building out as moral, which is kind of an interesting data platform. Uh, and so I want to ask you how you see the architecture emerging and where H. P. S sort of value add, I. P. Is your big player and compute you've got actually, you've got chops and memory disaggregate asian, you've done custom silicon over the years. How how should we think about your contribution to the next decade of innovation? >>Well, I think it's gonna come different layers of what we call the stock, right? Obviously, uh, we have been known for an infrastructure company, but the reality is what customers are looking for. Our integrated solutions that are optimized for the given world or application. So they don't have to spend time bringing things together. Right? And and spend weeks sometimes months when they can do it in just in a matter of minutes a day so they can move forward innovative on I. T. And so we were really focused on that connectivity as the first step. And Aruba give us an enormous rich uh through the cloud provisioning of a port or a wifi or a one. As you know, as we move to more cloud native applications. Much of the traffic through the connectivity will go into the internet, not through the traditional fixed networks. And that's what we did acquisitions like Silver Peak because now we can connect all your ages and all your clouds in an autonomous softer. The final way as we go to the other spectrum. Right? We talk about one load optimization and uh for us H. P. S my role is the recipe by which we bring the infrastructure and the software in through that integrated solution that can run autonomously that eventually can consume as a service. And that's why we made the introduction here of HP Green like Lighthouse, which is actually a fully optimised stack. They with the push of a bottom from HP Green Lake cloud platform, we can deploy whatever that that is required and then be able to Federated so we can also address other aspects like disaster recovery and be able to share all the knowledge real time. Swarm learning is another thing that people don't understand. I mean if you think about it. So I'm learning is a distributed Ai learning ecosystem and think about what we did with the D. C. Any in order to find cures for Alzheimer's or dementia. But so I'm learning is going to be the next platform sitting on this age to cloud architecture. So that instead of people worrying about sharing data, what we're doing is actually sharing insights And be able to learn through these millions of data points that they can connect with each other in a secure way. Security is another example, right? So today on an average takes 28 days to find a bridge in your enterprise with project Aurora, which we're going to make available at the end of the year by the end of the year. We actually can address zero day attacks within seconds. And then we're work in other areas like disaster recovery when you get attacked. Think about the ransom ramp somewhere that we have seen in the last few weeks, right? You know, God forbid you have to pay for it. But at the same time, recovery takes days and weeks. Sometimes we are working on technology to do it within 23 seconds. So this is where HP can place across all spectrums of the stack And at the same time of course people expect us to innovate in infrastructure layer. That's why we also partner with companies like Intel were with the push of a bottom. If you need more capacity of the court, you don't have to order anything. She's pushed the bottle, we make more calls available so that that warlord can perform and when you don't need it, shut it off so you don't have to pay for it. And last finalist, you know, I will say for us is all about the consumption availability of our solutions And that's what I said, you know, in 2019 we will make available everything as a service by 2022. You know, we have to say as you know, there is no need to build the church for Easter Sunday when you can rent it for that day. The point here is to grow elastically. And the fact that you don't need to move the data is already a cost savings because cost of aggression data back and forth is enormous and customers also don't want to be locked in. So we have an open approach and we have a true age to cloud architecture and we are focusing on what is most valuable aspect for the customer, which is ultimately the data. >>Thank you for that. One of the other things I wanted to ask you about, again, another weapon in your arsenal is you mentioned supercomputing before. Up in space, we're on the cusp of exa scale and that's the importance of high performance computing. You know, it used to be viewed as just a niche. I've had some great conversations with DR go about this, but that really is the big data platform, if you will. Uh can I wonder if you could talk a little bit about how that fits into the future. Your expertise in HPC, you're obviously a leader in that space. What's the fit with this new vision you're laying out? >>Well, HPC, high performance computing in memory computer are the backbone to be able to manage large data sets at massive scale. Um, and, you know, deployed technologies like deep learning or artificial intelligence for this massive amount of data. If we talked about the explosion of data all around us and uh, you know, and the algorithms and the parameters to be able to extract inside from the day is getting way more complex. And so the ability to co locate data and computed a massive scale is becoming a necessity, whether it's in academia, whether it's in the government obviously to protect your, your most valuable assets or whether it is in the traditional enterprise. But that's why with the acquisition of cray as G. I. And our organic business, we are absolutely the undisputed leader to provide the level of capabilities. And that's why we are going to build five of the top six exa scale systems, which is basically be able to process the billion billion, meaning billion square transactions per second. Can you imagine what you can do with that? Right. What type of problems you can go solve climate problems? Right. Um you know, obviously be able to put someone back into the moon and eventually in mars, you know, the first step to put that supercomputer as an edge computer into the international space station. It's about being able to process data from the images that take from the ice caps of the of the earth to understand climate changes. But eventually, if you want to put somebody in in into the Marks planet, you have to be able to communicate with those astronauts as they go and you know, you can't afford the latency. Right? So this is what the type of problems we are really focused on. But HPC is something that we are absolutely super committed and it's something that honestly, we have the full stack from silicon to software to the system performance that nobody else has in the industry. >>Well, I think it's a real tailwind for you because the industry is moving in that direction and everybody talks about the data and workloads are shifting. We used to be uh I got O. L. T. P. And I got reporting. Now you look at the workloads, there's so much diversity so I'll give you the last word. What what really is the most exciting to you about the future of HPV? >>Well, I'm excited about the innovation will bring it to the market and honestly as the Ceo I care about the culture of the company. For me, the last almost 3.5 years have been truly remarkable. As you said at the beginning, we are transforming every aspect of this company. When I became Ceo I had three priorities for myself. One is our customers and partners. That's why we do these events right to communicate, communicate, communicate. They are our North Star, that's why we exist. Second is our innovation right? We compete and win with the best innovation, solving the most complex problems in a sustainable and equitable way. And third is the culture of the company, which are the core is how we do things in our Team members and employees. You know, I represent my colleagues here, the 60,000 strong team members that had incredible passion for our customers and to make a contribution every single day. And so for me, I'm very optimistic about what we see the recovery of the economy and the possibilities of technology. Uh, but ultimately, you know, we have to work together hand in hand and I believe this company now is absolutely on the right track to not just be relevant, but really to make a difference. And remember That in the end we we have to be a force for good. And let's not forget that while we do all of this, we have some farm with technology. We have to also help some, uh, to address some of the challenges we have seen in the last 18 months and H. P. E. is a whole different company uh, that you knew 3.5 years ago. >>And as you said, knowledge is the right thing to do. It's good. It's good for business Antonio. Neary, thanks so much for coming back to the cube is always a pleasure to see you. >>Thanks for having me. Dave and >>thank you for watching this version of HP discover 2021 on the cube. This is David want to keep it right there for more great coverage. Mm

>>From around the globe. It's the Cube covering data citizens 21 brought to you by culebra. Hello everyone john walls here as we continue our cube conversations here as part of Data citizens 21 the conference ongoing caliber at the heart of that really at the heart of data these days and helping companies and corporations make sense. All of those data chaos that they're dealing with, trying to provide new insights, new analyses being a lot more efficient and effective with your data. That's what culebra is all about and their founder and their Chief data Citizen if you will stand christians joins us today and stan I love that title. Chief Data Citizen. What is that all about? What does that mean? >>Hey john thanks for having me over and hopefully we'll get to the point where the chief data citizen titlists cleaves to you. Thanks by the way for giving us the opportunity to speak a little bit about what we're doing with our Chief Data Citizen. Um we started the community, the company about 13 years ago, uh 2008 and over those years as a founder, I've worn many different hats from product presales to partnerships and a bunch of other things. But ultimately the company reaches a certain point, a certain size where systems and processes become absolutely necessary if you want to scale further for us. This is the moment in time when we said, okay, we probably need a data office right now ourselves, something that we've seen with many of our customers. So he said, okay, let me figure out how to lead our own data office and figure out how we can get value out of data using our own software at Clear Bright Self. And that's where it achieved. That a citizen role comes in on friday evening. We like to call that, drinking our own champagne monday morning, you know, eating our own dog food. But essentially um this is what we help our customers do build out the offices. So we're doing this ourselves now when we're very hands on. So there's a lot of things we're learning again, just like our customers do. And for me at culebra, this means that I'm responsible as achieved data citizen for our overall data strategy, which talks a lot about data products as well as our data infrastructure, which is needed to power data problems now because we're doing this in the company and also doing this in a way that is helpful to our customers. Were also figuring out how do we translate the learning that we have ourselves and give them back to our customers, to our partners, to the broader ecosystem as a whole. And that's why uh if you summarize the strategy, I like the sometimes refer to it as Data office 2025, it's 2025. What is the data office looked like by then? And we recommend to our customers also have that forward looking view just as well. So if I summarize the the answer a little bit it's very similar to achieve their officer role but because it has the external evangelization component helping other data leaders we like to refer to it as the chief data scientist. >>Yeah that that kind of uh you talk about evangelizing obviously with that that you're talking about certain kinds of responsibilities and obligations and when I think of citizenship in general I think about privileges and rights and about national citizenship. You're talking about data citizenship. So I assume that with that you're talking about appropriate behaviors and the most uh well defined behaviors and kind of keep it between the lanes basically. Is that is that how you look at being a data citizen. And if not how would you describe that to a client about being a data citizen? >>It's a very good point as a citizen. You have the rights and responsibilities and the same is exactly true for a day to citizens. For us, starting with what it is right for us. The data citizen is somebody who uses data to do their job. And we've purposely made that definition very broad because today we believe that everyone in some way uses data, do their job. You know, data universal. It's critical to business processes and its importance is only increasing and we want all the data citizens to have appropriate access to data and and the ability to do stuff with data but also to do that in the right way. And if you think about it, this is not just something that applies to you and your job but also extends beyond the workplace because as a data citizen, you're also a human being. Of course. So the way you do data at home with your friends and family, all of this becomes important as well. Uh and we like to think about it as informed privacy. Us data citizens who think about trust in data all the time because ultimately everybody's talking today about data as an asset and data is the new gold and the new oil and the new soil. And there is a ton of value uh data but it's not just organizations themselves to see this. It's also the bad actors out there were reading a lot more about data breaches for example. So ultimately there is no value without rescue. Uh so as the data citizen you can achieve value but you also have to think about how do I avoid these risks? And as an organization, if you manage to combine both of those, that's when you can get the maximum value out of data in a trusted manner. >>Yeah, I think this is pretty interesting approach that you've taken here because obviously there are processes with regard to data, right? I mean you know that's that's pretty clear but there are there's a culture that you're talking about here that not only are we going to have an operational plan for how we do this certain activity and how we're going to uh analyze here, input here action uh perform action on that whatever. But we're gonna have a mindset or an approach mentally that we want our company to embrace. So if you would walk me through that process a little bit in terms of creating that kind of culture which is very different then kind of the X's and oh's and the technical side of things. >>Yeah, that's I think where organizations face the biggest challenge because you know, maybe they're hiring the best, most unique data scientists in the world, but it's not about what that individual can do, right? It's about what the combination of data citizens across the organization can do. And I think there it starts first by thinking as an individual about universal goal Golden rule, treat others as you would want to be treated yourself right the way you would ethically use data at your job. Think about that. There's other people and other companies who you would want to do the same thing. Um now from our experience and our own data office at cordoba as well as what we see with our customers, a lot of that personal responsibility, which is where culture starts, starts with data literacy and you know, we talked a little bit about Planet Rock and small statues in brussels Belgium where I'm from. But essentially um here we speak a couple of languages in Belgium and for organizations for individuals, Data literacy is very similar. You know, you're able to read and write, which are pretty essential for any job today. And so we want all data citizens to also be able to speak and read and write data fluently if I if I can express it this way. And one of the key ways of getting that done and establishing that culture around data uh is lies with the one who leads data in the organization, the Chief Petty Officer or however the roll is called. They play a very important role in this. Um, the comparison maybe that I always make there is think about other assets in your organization. You know, you're you're organized for the money asset for the talent assets with HR and a bunch of other assets. So let's talk about the money asset for a little bit, right? You have a finance department, you have a chief financial officer. And obviously their responsibility is around managing that money asset, but it's also around making others in the organization think about that money asset and they do that through established processes and responsibilities like budgeting and planning, but also ultimately to the individual where, you know, through expense sheets that we all off so much they make you think about money. So if the CFO makes everyone in the company thinks about think about money, that data officer or the data lead has to think has to make everyone think uh in the company about data as a as it just as well and and those rights those responsibilities um in that culture, they also change right today. They're set this and this way because of privacy and policy X. And Y. And Z. But tomorrow for example as with the european union's new regulation around the eye, there's a bunch of new responsibilities you have to think about. >>Mhm. You know you mentioned security and about value and risk which is certainly um they are part and parcel right? If I have something important, I gotta protect it because somebody else might want to um to create some damage, some harm uh and and steal my value basically. Well that's what's happening as you point out in the data world these days. So so what kind of work are you doing in that regard in terms of reinforcing the importance of security, culture, privacy culture, you know this kind of protective culture within an organization so that everybody fully understands the risks. But also the huge upsides if you do enforce this responsibility and these good behaviors that that obviously the company can gain from and then provide value to their client base. So how do you reinforce that within your clients to spread that culture if you will within their organizations? >>Um spreading a culture is not always an easy thing. Um especially a lot of organizations think about the value around data but to your point, not always about the risks that come associated with it sometimes just because they don't know about it yet. Right? There's new architecture is that come into play like the clouds and that comes with a whole bunch of new risk. That's why one of the things that we recommend always to our uh customers and to data officers and our customers organizations is that next to establishing that that data literacy, for example, and working on data products is that they also partners strongly with other leaders in their organization. On the one hand, for example, the legal uh folks, where typically you find the aspects around privacy and on the other hand, um the information security folks, because if you're building up a sort of map of your data, look at it like a castle, right that you're trying to protect. Uh if you don't have a map of your castle with the strong points and weak points and you know, where people can build, dig a hole under your wall or what have you, then it's very hard to defend. So you have to be able to get a map of your data. A data map if you will know what data is out there with being used by and and why and how and then you want to prioritize that data which is the most important, what are the most important uses and put the appropriate protections and controls in place. Um and it's fundamental that you do that together with your legal and information security partners because you may have as a data leader you may have the data module data expertise, but there's a bunch of other things that come into play when you're trying to protect, not just the data but really your company on its data as a whole. >>You know you were talking about 2025 a little bit ago and I think good for you. That's quite a crystal ball that you have you know looking uh with the headlights that far down the road. But I know you have to be you know that kind of progressive thinking is very important. What do you see in the long term for number one? You're you're kind of position as a chief data citizen if you will. And then the role of the chief data officer which you think is kind of migrating toward that citizenship if you will. So maybe put on those long term vision uh goggles of yours again and and tell me what do you see as far as these evolving roles and and these new responsibilities for people who are ceos these days? >>Um well 2025 is closer than we think right? And obviously uh my crystal ball is as Fuzzy as everyone else's but there's a few things that trends that you can easily identify and that we've seen by doing this for so long at culebra. Um and one is the push around data I think last year. Um the years 2020, 2020 words uh sort of Covid became the executive director of digitalization forced everyone to think more about digital. And I expect that to continue. Right. So that's an important aspect. The second important aspect that I expect to continue for the next couple of years, easily. 2025 is the whole movement to the cloud. So those cloud native architecture to become important as well as the, you know, preparing your data around and preparing your false, he's around it, et cetera. I also expect that privacy regulations will continue to increase as well as the need to protect your data assets. Um And I expect that a lot of achieved that officers will also be very busy building out those data products. So if you if you think that that trend then okay, data products are getting more important for t data officers, then um data quality is something that's increasingly important today to get right otherwise becomes a garbage in garbage out kind of situation where your data products are being fed bad food and ultimately their their outcomes are very tricky. So for us, for the chief data officers, Um I think there was about one of them in 2002. Um and then in 2019 ISH, let's say there were around 10,000. So there's there's plenty of upside to go for the chief data officers, there's plenty of roles like that needed across the world. Um and they've also evolved in in responsibility and I expect that their position, you know, it it is really a sea level position today in most organizations expect that that trend will also to continue to grow. But ultimately, those achieved that officers have to think about the business, right? Not just the defensive and offensive positions around data like policies and regulations, but also the support for businesses who are today shifting very fast and we'll continue to uh to digital. So those Tv officers will be seen as heroes, especially when they can build out a factory of data products that really supports the business. Um, but at the same time, they have to figure out how to um reach and always branch to their technical counterparts because you cannot build that factory of data products in my mind, at least without the proper infrastructure. And that's where your technical teams come in. And then obviously the partnerships with your video and information security folks, of course. >>Well heroes. Everybody wants to be the hero. And I know that uh you painted a pretty clear path right now as far as the Chief data officer is concerned and their importance and the value to companies down the road stan. We thank you very much for the time today and for the insight and wish you continued success at the conference. Thank you very much. >>Thank you very much. Have a nice day healthy. >>Thank you very much Dan Christians joining us talking about chief data citizenship if you will as part of data citizens 21. The conference being put on by caliber. I'm John Wall's thanks for joining us here on the Cube. >>Mhm.

>>approximately two years after HP split into two separate companies, antonioni Ranieri was named president and Ceo of Hewlett Packard Enterprise. Under his tenure, the company has streamlined its operations, sharpened his priorities, simplified the product portfolio and strategically aligned its human capital with key growth initiatives. He's made a number of smaller but high leverage acquisitions and return the company to growth while affecting a massive company wide pivot to an as a service model. Welcome back to HPD discovered 2021. This is Dave Volonte for the cube and it's my pleasure to welcome back Antonio. Neary to the program Antonio it's been a while. Great to see you again. >>Dave Thanks for having me. >>That's really our pleasure. I was just gonna start off with >>the big picture. >>Let's talk about trends. You're a trend spotter. What do you see today? Everybody talks about digital transformation. We had to force marks to digital last year now it's really come into focus. But what are the big trends that you're seeing that are affecting your customers transformations? >>Okay. I mean obviously we have been talking about digital transformation for some time uh in our view is no longer a priority is a strategic imperative. And through the last 15 months or so since we have been going through the pandemic we have seen that accelerated to a level we haven't never seen before. And so what's going on is that we live in a digital economy and through the pandemic now we are more connected than ever. We are much more distributed than ever before and an enormous amount of data is being created and that data has tremendous value. And so what we see in our customers need more connectivity, they need a platform from the edge to the cloud to manage all the data and most important they need to move faster and extracting that inside that value from the data and this is where HP is uniquely positioned to deliver against those experiences the way we haven't imagined before. >>Yeah, we're gonna dig into that now, of course, you and I have been talking about data and how much data for decades, but I feel like we're gonna look back at, you know, in 2030 and say, Wow, we never, we're not gonna do anything like that. So we're really living in a data centric era as the curves are going exponential. What do you see? How do you see customers handling this? How are they thinking about the opportunities? >>Well, I think, you know, customer realized now that they need to move faster, they need to absolutely be uh much more agile and everything. They do. They need to deploy a cloud experience for all the war clothes and data that they manage and they need to deliver business outcomes to stay ahead of the competition. And so we believe technology now plays even a bigger role and every industry is a technology industry in many ways. Every company right, is a technology company, whether your health care, your manufacturer, your transportation company, you are an education, everybody needs more. It no less I. T. But at the same time they want the way they want to consumer Dave is very different than ever before, right? They want an elastic consumption model and they want to be able to scale up and down based on the needs of their enterprise. But if you recall three years ago I knew and I had this conversation, I predicted that enterprise of the future will be edge centric cloud enable and data driven. The edge is the next frontier. We said in 2018 and think about it, you know, people now are working remotely and that age now is much more distribute than we imagined before. Cloud is no longer a destination, it is an experience for all your apps and data, but now we are entering what we call the edge of insight which is all about that data driven approach and this is where all three have to come together in ways that customer did envision before and that's why they need help. >>So I see that I see the definition of cloud changing, it's no longer a set of remote services, you know, somewhere up there in the cloud, it's expanding on prem cross clouds, you mentioned the Edge and so that brings complexity. Every every company is a technology company but they may not be great at technology. So it seems that there are some challenges around there, partly my senses, some of some of what you're trying to do is simplify that for your customers. But what are the challenges that your customers are asking you to solve? >>Well the first they want a consistent and seamless experience, whatever that application and data lives. And so um you know for them you know they want to move away from running I. T. to innovate in our 90 and then obviously they need to move much faster. As I said earlier about this data driven approaches. So they need help because obviously they need to digitize every every aspect of the company but at the same time they need to do it in a much more cost effective way. So they're asking for subject matter expertise on process engineering. They're asking for the fighting the right mix of hybrid experiences from the edge to cloud and they need to move much faster as scale in deploying technologies like Ai deep learning and machine learning. Hewlett Packard Enterprise uh is extremely well positioned because we have been building an age to cloud platform where you provide connectivity where you bring computing and storage uh in a soft of the fine scalable way that you can consume as a service. And so we have great capabilities without HP Point next technology services and advice and run inside. But we have a portfolio with HP Green Lake, our cloud services, the cloud that comes to you that are addressing the most critical data driven warlords. >>Probably about 24 months ago you announced that HP was, was going to basically go all in on as a service and get there by by 2022 for all your solutions. I gotta get, I gotta say you've done a good job communicating the Wall Street, I think. I think culturally you've really done a good job of emphasizing that to your, to the workforce. Uh, but but how should we measure the progress that you've made toward that goal? How our customers responding? I know how the markets responding, you know, three or four year big competitors have now announced. But how should we measure, you know, how you're tracking to that goal? >>Well, I think, you know, the fact that our competitors are entering the other service market is a validation that our vision was right. And that's that's that's good because in the end, you know, it tells us we are on the right track. However, we have to move much faster than than ever before. And that's why we constantly looking for ways to go further and faster. You're right. The court of this is a cultural transformation. Engineering wise, once you step, once you state the North Star, we need to learn our internal processes to think cloud first and data first versus infrastructure. And we have made great progress. The way we measure ourselves. Dave is very simple is by giving a consistent and transparent report on our pivot in that financial aspect of it, which is what we call the annualized revenue run rate, Which we have been disclosed enough for more than a year and a half. And this past quarter grew 30% year over year. So we are on track to deliver at 30 to 40% cake or that we committed two years ago And this business going to triple more than uh more than one year from now. So it's gonna be three times as bigger as we enter 2022 and 2023. But in the end it's all about the experience you deliver and that's why architecturally uh while we made great progress. I know there is way more work to be done, but I'm really excited because what we just announced here this week is just simply remarkable. And you will see more as we become more a cloud operating driven company in the next month and years to come. >>I want to ask you kind of a personal question. I mean, COVID-19 has sharpened our sensitivity and empathy to a lot of different things. And I think ceos in your position of a large tech company or any large company, they really can't just give lip service to things like E. S. G. Or or ethical uh digital transformation, which is something that you've talked about in other words, making sure that it's inclusive. Everybody is able to participate in this economy and not get left behind. What does this mean to you personally? >>Well, they remember I'm in a privileged position, right? Leading a company like Hewlett Packard Enterprise that has Hewlett and Packard on the brand is an honor, but it's also a big responsibility. Let's remember what this company stands for and what our purpose is, which is to advance the way people live and work. And in that we have to be able to create a more equitable society and use this technology to solve some of the biggest societal challenge you have been facing Last 18 months has been really hard on a number of dimensions, not just for the business but for their communities. Uh, we saw disruption, we saw hardships on the financial side, we saw acts of violence and hatred. Those are completely unacceptable. But if we work together, we can use these technologies to bring the community together and to make it equitable. And that's one is one of my passion because as we move into this digital economy, I keep saying that connecting people is the first step and if you are not connected you're not going to participate. Therefore we cannot afford to create a digital economy for only few. And this is why connectivity has to become an essential service, not different than water and electricity. And that's why I have passion and invest my own personal time working with entities like World Economic Forum, educating our government, which is very important because both the public sector and the private sector have to come together. And then from the technology standpoint, we have to architect these things. They are commercially accessible and viable to everyone. And so it's uh it's I will say that it's not just my mission. Uh this is top of mind for many of my colleagues ceos that talked all the time and you can see of movement, but at the same time it's good for business because shareholders now want to invest in companies that take care about this. How we make, not just a world more inclusive and equitable, but also how we make a more sustainable and we with our technologies we can make the world way more sustainable with circular economy, power, efficiency and so forth. So a lot of work to be done dave but I'm encouraged by the progress but we need to do way way more. >>Thank you for that Antonio I want to ask you about the future and I want to ask you a couple of different angles. So I want to start with the edge. So it seems to me that you're you're building this vision of what I call a layer that abstracts the underlying complexity of the whether it's the public cloud across clouds on prem and and and the edge And it's your job to simplify that. So I as the customer can focus on more strategic initiatives and that's clearly the vision that you guys are setting forth on. My question is is how far do you go on the edge? In other words, it seems to me that Aruba for example, for example, awesome acquisition can go really, really deep into the far edge. Maybe other parts of your portfolio, you're kind of more looking at horizontal. How should we think about HP es positioning and participation in that edge opportunity? >>Well, we believe we are becoming one of the merger leaders at the intelligent edge. Right. These edges becoming more intelligent. We live in a hyper connected world and that will continue to grow at an exponential pace. Right? So today we we might have billions of people and devices pursue. We're entering trillions of things that will be connected to the network. Uh, so you need a platform to be able to do with the scale. So there is a horizontal view of that to create these vertical experiences which are industry driven. Right? So one thing is to deliver a vertical experience in healthcare versus manufacturer transportation. And so we take a really far dave I mean, to the point that we just, you know, put into space 256 miles above the earth, a supercomputer that tells you we take a really far, but in the end it's about acting where the data is created and bringing that knowledge and that inside to the people who can make a difference real time as much as possible. And that's why I start by connecting things by bringing a cloud experience to that data wherever it lives because it's cheaper and it's where more economical and obviously there is aspects of latest in security and compliance that you have to deal with it and then ultimately accelerate that inside into some sort of outcome and we have many, many use cases were driving today and Aruba is the platform by the way, which we have been using now to extend from the edge all the way to the core into the cloud business and that's why you HP has unique set of assets to deliver against that opportunity. >>Yes, I want to talk about some of the weapons you have in your arsenal. You know, some people talk about a week and we have to win the architectural battle for hybrid cloud. I've heard that statement made, certainly HPV is in that balance is not a zero sum game, but but you're a player there. And so when I when I look at as a service, great, you're making progress there. But I feel like there's more, there's there's architecture there, you're making acquisitions, you're building out as moral, which is kind of an interesting data platform. Uh, and so I want to ask you, so how you see the architecture emerging and where H. P. S sort of value add i. P. Is your big player and compute you've got actually you've got chops and memory disaggregate asian, you've done custom silicon over the years. How how should we think about your contribution to the next decade of innovation? >>Well, I think it's gonna come different layers of what we call the stock, right? Obviously, uh, we have been known for an infrastructure company, but the reality is what customers are looking for Our integrated solutions that are optimized for the given workload or application. So they don't have to spend time bringing things together. Right? And and spend weeks sometimes months when they can do it in just in a matter of minutes a day so they can move forward innovative or 90. And so we we are really focused on that connectivity as the first step. And Aruba give us an enormous rich uh through the cloud provisioning of a port or a wifi or a one. As you know, as we move to more cloud native applications. Much of the traffic through the connectivity will go into the internet, not through the traditional fixed networks. And that's what we did acquisitions like Silver Peak because now we can connect all your ages and all your clouds in an autonomous software defined way as you go to the other spectrum, right. We talk about what load optimization and uh for us H. P. S. My role is the recipe by which we bring the infrastructure and the software in through that integrated solution that can run autonomously that eventually can consume as a service. And that's why we made the introduction here of HP Green like lighthouse which is actually I fully optimised stack the with the push of a bottom from HP Green Lake cloud platform we can deploy whatever that that is required and then be able to Federated so we can also address other aspects like disaster recovery and be able to share all the knowledge real time. So I'm learning is another thing that people don't understand. I mean if you think about it. So I'm learning is a distributed Ai learning uh ecosystem and think about what we did with the D. C. Any in order to find cures for Alzheimer's or dementia. But swam learning is gonna be the next platform sitting on this age to cloud architecture so that instead of people worrying about sharing data, what we're doing is actually sharing insights And be able to learn to these millions of data points that they can connect with each other in a secure way. Security is another example, right? So today on an average takes 28 days to find a bridge in your enterprise with project Aurora, which we're gonna make available at the end of the year, by the end of the year. We actually can address zero day attacks within seconds. And then we're work in other areas like disaster recovery when you get attacked. Think about the ransom ramp somewhere that we have seen in the last few weeks, right? You know, God forbid you have to pay for it. But at the same time, recovery takes days and weeks. Sometimes we are working on technology to do it within 23 seconds. So this is where HP can place across all spectrums of the stack. And at the same time, of course, people expect us to innovate in infrastructural layer. That's why we also partnered with companies like Intel, we're with the push of a bottle. If you need more capacity of the court, you don't have to order anything, just push the bottle. We make more calls available so that that will load can perform and when you don't need to shut it off so you don't have to pay for it. And last finalist, you know, I will say for us is all about the consumption availability of our solutions And that's what I said, you know, in 2019 we will make available everything as a service by 2022. You know, we have to say as you know, there is no need to build the church for easter sunday when you can rent it for that day. The point here is to grow elastically and the fact that you don't need to move the data is already a cost savings because cost of aggression data back and forth is enormous and customers also don't want to be locked in. So we have an open approach and we have a through age to cloud architecture and we are focusing on what is most valuable aspect for the customer, which is ultimately the data. >>Thank you for that. One of the other things I wanted to ask you about, and again, another weapon in your arsenal is you mentioned uh supercomputing before up in space where we're on the cusp of exa scale and that's the importance of high performance computing. You know, it used to be viewed as just a niche. I've had some great conversations with Dr go about this, but that really is the big data platform, if you will. Uh can I wonder if you could talk a little bit about how that fits into the future. Your expertise in HPC, you're obviously a leader in that space. What's the fit with this new vision? You're laying out? >>Well, HPC, high performance computer in memory computer are the backbone to be able to manage large data sets at massive scale. Um and, you know, deployed technologies like deep learning or artificial intelligence for this massive amount of data. If we talked about the explosion of data all around us and uh, you know, and the algorithms and the parameters to be able to extract inside from the day is getting way more complex. And so the ability to co locate data and computed a massive scale is becoming a necessity, whether it's in academia, whether it's in the government obviously to protect your, your most valuable assets or whether it is in the traditional enterprise. But that's why with the acquisition of Cray, S. G. I. And our organic business, we are absolutely the undisputed leader to provide the level of capabilities. And that's why we are going to build five of the top six exa scale systems, which is basically be able to process they billion billion, meaning billion square transactions per second. Can you imagine what you can do with that? Right. What type of problems you can go solve climate problems? Right. Um you know, obviously be able to put someone back into the moon and eventually in mars you know, the first step to put that supercomputer as an edge computer into the international space station. It's about being able to process data from the images that take from the ice caps of the, of the earth to understand climate changes. But eventually, if you want to put somebody in in into the Marks planet, you have to be able to communicate with those astronauts as they go and you know, you can't afford the latency. Right? So this is where the type of problems we are really focused on. But HPC is something that we are absolutely uh, super committed. And it's something that honestly we have the full stack from silicon to software to the system performance that nobody else has in the industry. >>Well, I think it's a real tailwind for you because the industry is moving that direction. Everybody talks about the data and workloads are shifting. We used to be uh, I got LTP and I got reporting. Now you look at the workloads, there's so much diversity. So I'll give you the last word. What what really is the most exciting to you about the future of HPV? >>Well, I'm excited about the innovation, will bring it to the market and honestly, as the Ceo, I care about the culture of the company. For me, the last almost 3.5 years have been truly remarkable. As you said at the beginning, we are transforming every aspect of this company. When I became CEO, I had three priorities for myself. One is our customers and partners. That's why we do these events right to communicate, communicate, communicate. Uh they are our North Star, that's why we exist. Uh, second is our innovation right? We compete to win with the best innovation, solving the most complex problems in a sustainable and equitable way. And third is the culture of the company, which are the core is how we do things in our Team members and employees. You know, I represent my colleagues here, the 60,000 strong team members that have incredible passion for our customers and to make a contribution every single day. And so for me, I'm very optimistic about what we see the recovery of the economy and the possibilities of technology. But ultimately, you know, we have to work together hand in hand. Uh and I believe this company now is absolutely on the right track to not just be relevant, but really to make a difference. And remember that in the end we we have to be a force for good. And let's not forget that while we do all of this, we have some farm with technology. We have to also help some uh to address some of the challenges we have seen in the last 18 months. An H. P. E is a whole different company, uh, that you knew 3.5 years ago. >>And as you said, it's, it's knowledge is the right thing to do. It's good. It's good for business Antonio. Neary. Thanks so much for coming back to the cube. Is always a pleasure to see you. >>Thanks for having me Dave >>and thank you for watching this version of HP discover 2021 on the cube. This is David want to keep it right there for more great coverage. >>Mm

>> Announcer: From around the globe, it's theCUBE with digital coverage of IBM Think 2021 brought to you by IBM. >> Hey, welcome to the Cube's coverage of IBM Think 2021. I'm Lisa Martin. Joining me next is Dave Marmer, the vice president offering management for the cognos analytics, planning analytics and regtech portfolios at IBM. Dave, welcome to the program. >> Thank you, Lisa. Thanks for having us today. >> So lots of change in the last year, that's an Epic understatement, right? But I'm curious some of the things that you've seen from a customer's perspective, how are they utilizing planning and reporting technology and analytics to adapt to such a disruptive market? >> Quick question, the pandemic was truly a test for these organizations in terms of their resiliency and agility. But fortunately our clients were able to leverage our planning and reporting technology to do several things. They were able to re-plan their financials to integrate and reset operational areas and planning. They were able to create multiple scenarios as disruptions continue to occur and they were able to maintain confidence in insights for collaborative decision-making at truly an enterprise scale. They were easily able to increase the frequency of their planning process, moving from quarterly to monthly to even daily for their operational areas such as supply and sales. And this was really far reaching for customers like ranging from people like Perona who focuses on private employment to Vasan who is one of the largest bakeries in Europe and ancestry.com, which are the world's largest online family history resource. They're all were able to successfully navigate the radical changes in demand and in workflow and in cashflow. >> That's impressive considering things were in such a mess and still are in somewhat state of flux which is obviously different globally. You talked about the collaboration. That's one of the things that we saw so much change going on in the last year, but this dependence on technology to facilitate collaboration. Talk to me a little bit about how you've helped. Maybe those same customers that you mentioned be able to collaborate collectively across the organizations. >> So the concept that we follow which is sort of this extending planning and analysis model is this concept of decisions, financial decisions, or finance decisions being moved outside of the operational areas, the office of finance, into the areas of supply chain, into sales, into workforce management. These all had to come together far more agilely and far more connected than they ever were before. Decisions that one organization was going to make was going to impact others. And they need to bring in additional exogenous data to kind of augment the decisions they were already doing. So it came very collaborative and high participation for the people closest to the decisions. >> Excellent. So when you look at some of the things that have in the last year, what are some of your observations, that kind of things that surprised you in terms of how companies have evolved their planning and forecasting strategy in such a dynamic market? >> Well, the biggest surprise, and I guess it shouldn't be a surprise, but historical trends that they had been counting on for their planning activity, taking last year's activities and actuals and using those to plan out what would happen. Those were sort of out the window and data sources and drivers, new drivers to their business had to be considered. They hadn't had to deal with this in the past. Like our clients were kind of pleasantly surprised that they're moved to extended planning and analysis. When planning is adopted outside of the office of finance stood up to the global disruption. You know, for example, ancestry had already adopted a enterprise planning platform as a reaction to phenomenal growth they experienced years back as they were first launching their DNA product. This put them in really good shape for what happened more really recently. This allowed them to run multiple scenarios to the impact of their supply chain all the way through the labs and back to the clients. And so when the pandemic hit, the facilities were impacted but they will have to make those adjustments at quarterly and keep up a high level of customer service. >> So these seems like ancestry was already in a really good position to be able to navigate some of the massive disruption that happened so quickly. How have you helped other customers that maybe weren't as far along to do that as well and to be able to forecast and plan in a dynamic time? >> So a customer like the sun, I mentioned, they were like, one of Europe's largest bakeries, right? They live in a world of just hours, right? You're creating product that has a shelf life, a realistic shelf life. And they have much demand changes for their facilities, but also to the stores and their frozen food products that they provide in addition to how they provide them the daily fresh stuff that they do. They're very known for their rye bread, their sourdough those type of things. But they had to make a lot of changes based on what they were seeing and take into consideration, even margin. So they've been evolving and taking more advantage of AI in augmenting their human intelligence in this way. They've been able to use very sophisticated algorithms with planning analytics to allow them to plan for things like energy consumption where they calculate the expected outside temperatures and the need for the facilities, because where they are based in the Nordics, they face freezing temperatures where, you know, the facility subs health have, because there's a lot of fluctuation in seasonality to that. And so they need to adjust for that. They also really use this to take a look at the product life cycles that they had been using to get a better longterm estimate of what people would be buying instead of using human intuition, because as they said, you can get sort of into this methodical radar listening model of looking at what had occurred in the past. And they were able to start to see things months earlier that they would have normally not been able to see if they'd not augmented their human intelligence with artificial intelligence. And I think the third thing they started to use was customer purchasing behavior where they actually were just starting to see actual patterns of things that were changing. And the expected propensity was changing for repeat purchases and cross sell purchases. And they're able to make adjustments on their offerings as a result. >> If we talk about AI to augment human intelligence to empower decision making, that's a great example of that that you talked about. What's the adoption been like that around different industries and different countries in the last year? >> So we see this universally happening that there's an adoption occurring. Certain industries are definitely moving faster. It's happening in the sales and operations planning area more so than the traditional places like the financial and planning and analysis areas. So once you get into the areas like supply chain and demand planning, you know, we generally see retail and distribution, you know, companies, a high adoption of this because of the sensitivity of making sure the right product is there at the right time. We see this near a customer service. And we definitely see this as I mentioned in workforce analytics. This pandemic brought large disruption to people who had to exit the normal facilities and work in different alternative locations. And then this idea of how do we bring them back in a very managed way is a universal problem that everyone is facing and they're all starting to adopt that. So we're seeing adoptions on many of these things across all the different industries, but I'd say the ones I mentioned were certainly highly sensitive to the immediate problems that we all personally experienced. >> Right. In your opinion based on just what you've observed, what do you think the true value of integrated planning field Bay by AI? What's the true business value there? >> It's a great question. I think in business terms, the predictive capabilities like the algorithmic forecasting is really helping companies more accurately forecast their demand. And while prescriptive capabilities like decision optimization, help them determine the best way to meet that demand, typically decision optimization excels at developing scenarios and considering constraints such as time prices, cost and capacities. And those are pulled in to help augment the decisions. Whereas predictive capability really helps the forecast demand as an example, you know, man changes by season by day by hour, the prescriptive capabilities, like this is an optimization, help determine the best plan for meeting the demand. But if you think about the energy example I gave before, you have to consider things like, is it hydro? Is it coal? Is it nuclear? One of those types of things that are involved because each method has a different cost and a different capacity. So they kind of work together in that way. >> When you're having customer conversations. I'm curious what the perspective is of customers understanding the obvious business value of integrating AI with integrated planning. Is that something that they get right away? What kinds of questions do they have for you? >> Again, I think they understand the concept or scenario planning and the fact of building different scenario modeling. I think what they're getting accustomed to is the superpower that we get to augment these humans with an intent to work against their intuition. We've seen this time and time again where project planning for, you know, one of our customers who manages on behalf of the government certain projects that they would look at it and say, if it wasn't for AI, we wouldn't have detected these issues and some of the project scope, because we look at managing them in a certain way based on historical patterns. So you almost have to unlearn their historical patterns that's had to accept what the data is telling you and you're really matching properlistic and deterministic information together to get a more accurate and an informed decision to help you move and progress further. >> So for businesses, I'm curious to get your advice here. For companies that are in this state of flux as we all are and varying degrees of that across the globe, what advice do you have for those companies that are looking into utilizing planning and reporting technology to really fine tune their business performance but they don't really know where to start? >> Yeah, so from a very high level, the advice I would say is first you've got to examine your current planning process and really identify what's working well and what business questions need to be answered. Then you have to understand that planning is primarily driver-based. And because it's driver-based, you really have to understand and take a look at your current financial reports to see what's really making up the bulk of your business, what's really driving revenue, what's really driving expenses and really focusing on the drivers that have material impact. Probably you've that 80, 20 rule. What is 80% of our costs and revenues coming from? And then you need to understand the level of granularity that you need in your data to really develop the appropriate values that you want to plan again and set those targets. And you should refer to the existing spreadsheets. They have lots of value just to understand the sources of data, the calculations that get used, what's effective and not effective across the different functions and how they link together. And then you really need to determine your planning horizon. You need to understand who's going to be contributing to the plan who hasn't been doing this before, because you want people closest to the processes and the decisions to do that. And what's the frequency? As I mentioned, people moved from quarterly to monthly as a matter of fact, in a rolling forecast and they started moving to daily and you got to understand when do you recommend this kind of a model for what businesses and what's that, how much attention do you want to give to those plans on a regular basis? >> One more question for you, Dave. When you're in those customer conversations, I'm curious, is this a C-level conversation now in terms of, "Hey, we need to be able to utilize AI and predictive for planning technology and reporting technology", Has that elevated in conversation within the organization? >> So yes, the pandemic has opened up, and just disruptions in general have opened up the conversation around about the importance of better planning and business continuity and building resilience into an organization. That is a boardroom conversation that's very important. So it is definitely raised up into that level. As planning starts to sprawl outside of just the office of finance into these operational areas, those line of business executives are getting very involved and saying, you know, we need to plan to perform and setting that conversation up and using these types of new technologies and capabilities that we're kind of replacing what can't be automated by human beings, right? Or just can't be done with the amount of manual work involved. And we see this today, just the amount of sheer number of data, the amount of volume and the amount of data intersections that have to occur. You need the capabilities of something like planet windows with Watson to go to deliver something like that. >> Awesome. Well, Dave, thanks so much for joining me today sharing what you've seen in the last year and how some of the customers have been very successful at adapting to a pretty dynamic time. We appreciate you coming on the show. >> Thank you very much. I appreciate this. >> Bye Dave Marmer. I'm Lisa Martin, you're watching the cubes coverage of IBM Think. (upbeat music)

>>from around the globe. It's the Cube with coverage of Yukon and Cloud. Native Con North America. 2020. Virtual Brought to You by Red Hat, The Cloud, Native Computing Foundation and Ecosystem Partners Welcome back to the Cube. Virtual coverage of KUB Con Cloud native 2020. It's virtual this year. We're not face to face. Were normally in person where we have great interviews. Everyone's kind of jamming in the hallways, having a good time talking tech, identifying the new projects and knew where So we're not. There were remote. I'm John for your host. We've got two great gas, both Cuba alumni's Chris. And is it chief technology officer of the C and C F Chris, Welcome back. Great to see you. Thanks for coming on. Appreciate it. >>Awesome. Glad to be here. >>And, of course, another Cube alumni who is in studio. But we haven't had him at a Show Jr store meant executive director of the Fin Ops Foundation. And that's the purpose of this session. A interesting data point we're going to dig into how cloud has been enabling Mawr communities, more networks of practitioners who are still working together, and it's also a success point Chris on the C N C F vision, which has been playing out beautifully. So we're looking forward to digging. Jr. Thanks for coming on. Great to see you. >>Yeah, great to be here. Thanks, John. >>So, first of all, I want to get the facts out there. I think this is really important story that people should pay attention to the Finn Ops Foundation. That J. R. That you're running is really an interesting success point because it's it's not the c n c f. Okay. It's a practitioner that builds on cloud. Your experience in community you had is doing specific things that they're I won't say narrow but specific toe a certain fintech things. But it's really about the success of Cloud. Can you explain and and layout for take a minute to explain What is the fin Ops foundation and has it relate to see NCF? >>Yeah, definitely. So you know, if you think about this, the shift that we've had to companies deploying primarily in cloud, whether it be containers a ciencia focuses on or traditional infrastructure. The thing that typically people focus on right is the technology and innovation and speed to market in all those areas. But invariably companies hit this. We'd like to call the spend panic moment where they realize they're They're initially spending much more than they expected. But more importantly, they don't really have the processes in place or the people or the tools to do things like fully, you know, understand where their costs are going to look at how to optimize those to operate that in their organizations. And so the foundation pinups foundation eyes really focused on, uh, the people in practitioners who are in organizations doing cloud financial management, which is, you know, being those who drive this accountability of this variable spin model that's existed. So we were partnering very closely with, uh, see NCF. And we're now actually part of the Linux Foundation as of a few months ago, Uh, and you know, just to kind of put into context how that you kind of Iraq together, whereas, you know, CNC s very focused on open source coordinative projects, you know, For example, Spotify just launched their backstage cloud called Management Tool into CFCF Spotify folks, in our end, are working on the best practices around the cloud financial management that standards to go along with that. So we're there to help, you know, define this sort of cultural transformation, which is a shift to now. Engineers happen to think about costs as they never did before. On finance, people happen to partner with technology teams at the speed of cloud, and, you know executives happen to make trade off decisions and really change the way that they operate the business. With this variable page ago, engineers have all the access to spend the money in Cloud Model. >>Hey, blank check for engineers who doesn't like that rain that in its like shift left for security. And now you've got to deal with the financial Finn ops. It's really important. It's super point, Chris. In all seriousness. Putting kidding aside, this is exactly the kind of thing you see with open sores. You're seeing things like shift left, where you wanna have security baked in. You know what Jr is done in a fabulous job with his community now part of Linux Foundation scaling up, there's important things to nail down that is specific to that domain that are related to cloud. What's your thoughts on this? Because you're seeing it play out. >>Yeah, no, I mean, you know, I talked to a lot of our end user members and companies that have been adopting Cloud Native and I have lots of friends that run, you know, cloud infrastructure at companies. And Justus Jr said, You know, eventually there's been a lot of success and cognitive and want to start using a lot of things. Your bills are a little bit more higher than you expect. You actually have trouble figuring out, you know, kind of who's using what because, you know, let's be honest. A lot of the clouds have built amazing services. But let's say the financial management and cost management accounting tools charge back is not really built in well. And so I kind of noticed this this issue where it's like, great everyone's using all these services. Everything is great, But costs are a little bit confusing, hard to manage and, you know, you know, scientifically, you know, I ran into, you know, Jr and his community out there because my community was having a need of like, you know, there's just not good tools, standards, no practices out there. And, you know, the Finau Foundation was working on these kind of great things. So we started definitely found a way to kind of work together and be under the same umbrella foundation, you know, under the under Linux Foundation. In my personal opinion, I see more and more standards and tools to be created in this space. You know, there's, you know, very few specifications or standards and trying to get cost, you know, data out of different clouds and tools out there, I predict, Ah, lot more work is going to be done. Um, in this space, whether it's done and defendants foundation itself, CNC f, I think will probably be, uh, collaboration amongst communities. Can I truly figure this out? So, uh, engineers have any easier understanding of, you know, if I spent up the service or experiment? How much is this actually going to potentially impact the cost of things and and for a while, You know, uh, engineers just don't think about this. When I was at Twitter, we spot up services all time without really care about cost on, and that's happening a lot of small companies now, which don't necessarily have as a big bucket. So I'm excited about the space. I think you're gonna see a huge amount of focus on cloud financial management drops in the near future. >>Chris, thanks for that great insight. I think you've got a great perspective. You know, in some cases, it's a fast and loose environment. Like Twitter. You mentioned you've got kind of a blank check and the rocket ships going. But, Jr, this brings up to kind of points. This kind of like the whole code side of it. The software piece where people are building code, but also this the human error. I mean, we were playing with clubs, so we have a big media cloud and Amazon and we left there. One of the buckets open on the switches and elemental. We're getting charged. Massive amounts for us cash were like, Wait a minute, not even using this thing. We used it once, and it left it open. It was like the water was flowing through the pipes and charging us. So you know, this human error is throwing the wrong switch. I mean, it was simply one configuration error, in some cases, just more about planning and thinking about prototypes. >>Yeah. I mean, so take what your experience there. Waas and multiply by 1000 development teams in a big organization who all have access to cloud. And then, you know, it's it's and this isn't really about a set of new technologies. It's about a new set of processes and a cultural change, as Chris mentioned, you know, engineers now thinking about cost and this being a whole new efficiency metric for them to manage, right? You know, finance teams now see this world where it's like tomorrow. The cost could go three x the next day they could go down. You've got, you know, things spending up by the second. So there's a whole set of cross functional, and that's the majority of the work that are members do is really around. How do we get these cross functional teams working together? How do we get you know, each team up leveled on what they need, understand with cloud? Because not only is it, you know, highly variable, but it's highly decentralized now, and we're seeing, you know, cloud hit. These sort of material spend levels where you know, the big, big cloud spenders out there spending, you know, high nine figures in some cases you know, in cloud and it's this material for their for their businesses. >>And let's just let's be honest. Here is like Clouds, for the most part, don't really have a huge incentive in offering limits and so on. It's just, you know, like, hey, the more usage that the better And hopefully getting a group of practitioners in real figures. Well, holy put pressure to build better tools and services in this area. I think actually it is happening. I think Jared could correct me if wrong. I think AWS recently announced a feature where I think it's finally like quotas, you know, enabled, you know, you have introducing quotas now for and building limits at some level, which, you know, I think it's 2020 Thank you know, >>just to push back a little bit in support of our friends, you ask Google this company, you know, for a long time doing this work, we were worried that the cloud would be like, What are you doing? Are you trying to get our trying to minimize commitments and you know the dirty secret of this type of work? And I were just talking a bunch of practitioners today is that cloud spend never really goes down. When you do this work, you actually end up spending more because you know you're more comfortable with the efficiency that you're getting, and your CEO is like, let's move more workloads over. But let's accelerate. Let's let's do Maurin Cloud goes out more data centers. And so the cloud providers air actually largely incentivized to say, Yeah, we want people to be officially don't understand this And so it's been a great collaboration with those companies. As you said, you know, aws, Google, that you're certainly really focused in this area and ship more features and more data for you. It's >>really about getting smart. I mean, you know, they no, >>you could >>do it. I mean, remember the old browser days you could switch the default search engine through 10 menus. You could certainly find the way if you really wanted to dig in and make policy a simple abstraction layer feature, which is really a no brainer thing. So I think getting smarter is the right message. I want to get into the synergy Chris, between this this trend, because I think this points to, um kind of what actually happened here if you look at it at least from my perspective and correct me if I'm wrong. But you had jr had a community of practitioners who was sharing information. Sounds like open source. They're talking and sharing, you know? Hey, don't throw that switch. Do This is the best practice. Um, that's what open communities do. But now you're getting into software. You have to embed cost management into everything, just like security I mentioned earlier. So this trend, I think if you kind of connect the dots is gonna happen in other areas on this is really the synergy. Um, I getting that right with CNC >>f eso The way I see it is, and I dream of a future where developers, as they develop software, will be able to have some insight almost immediately off how much potential, you know, cost or impact. They'll have, you know, on maybe a new service or spinning up or potentially earlier in the development cycle saying, Hey, maybe you're not doing this in a way that is efficient. Maybe you something else. Just having that feedback loop. Ah lot. You know, closer to Deb time than you know a couple weeks out. Something crazy happens all of a sudden you notice, You know, based on you know, your phase or financial folks reaching out to you saying, Hey, what's going on here? This is a little bit insane. So I think what we'll see is, as you know, practitioners and you know, Jr spinoffs, foundation community, you know, get together share practices. A lot of them, you know, just as we saw on sense. Yeah, kind of build their own tools, models, abstractions. And, you know, they're starting to share these things. And once you start sharing these things, you end up with a you know, a dozen tools. Eventually, you know, sharing, you know, knowledge sharing, code sharing, you know, specifications. Sharing happens Eventually, things kind of, you know, become de facto tools and standards. And I think we'll see that, you know, transition in the thin ops community over the next 12 to 4 months. You know, very soon in my thing. I think that's kind of where I see things going, >>Jr. This really kind of also puts a riel, you know, spotlight and illustrates the whole developer. First cliche. I mean, it's really not a cliche. It's It's happening. Developers first, when you start getting into the calculations of our oi, which is the number one C level question is Hey, what's the are aware of this problem Project or I won't say cover your ass. But I mean, if someone kind of does a project that it breaks the bank or causes a, you know, financial problem, you know, someone gets pulled out to the back would shed. So, you know, here you're you're balancing both ends of the spectrum, you know, risk management on one side, and you've got return on investment on the other. Is that coming out from the conversation where you guys just in the early stages, I could almost imagine that this is a beautiful tailwind for you? These thes trends, >>Yeah. I mean, if you think about the work that we're doing in our practice you're doing, it's not about saving money. It's about making money because you actually want empower those engineers to be the innovation engines in the organization to deliver faster to ship faster. At the same time, they now can have, you know, tangible financial roo impacts on the business. So it's a new up leveling skill for them. But then it's also, I think, to Christmas point of, you know, people seeing this stuff more quickly. You know what the model looks like when it's really great is that engineers get near real time visibility into the impact of their change is on the business, and they can start to have conversations with the business or with their finance partners about Okay, you know, if you want me to move fast, I could move fast, But it's gonna cost this if you want me to optimize the cost. I could do that or I can optimize performance. And there's actually, you know, deeper are like conversation the candidate up. >>Now I know a lot of people who watch the Cube always share with me privately and Chris, you got great vision on this. We talked many times about it. We're learning a lot, and the developers are on the front lines and, you know, a lot of them don't have MBAs and, you know they're not in the business, but they can learn quick. If you can code, you can learn business. So, you know, I want you to take a minute Jr and share some, um, educational knowledge to developers were out there who have to sit in these meetings and have to say, Hey, I got to justify this project. Buy versus build. I need to learn all that in business school when I had to see s degree and got my MBA, so I kind of blended it together. But could you share what the community is doing and saying, How does that engineer sit in the meeting and defend or justify, or you some of the best practices what's coming out of the foundation? >>Yeah, I mean, and we're looking at first what a core principles that the whole organization used to line around. And then for each persona, like engineers, what they need to know. So I mean, first and foremost, it's It's about collaboration, you know, with their partners andan starting to get to that world where you're thinking about your use of cloud from a business value driver, right? Like, what is the impact of this? The critical part of that? Those early decentralization where you know, now you've got everybody basically taking ownership for their cloud usage. So for engineers, it's yes, we get that information in front of us quickly. But now we have a new efficiency metric. And engineers don't like inefficiency, right? They want to write fishing code. They wanna have efficient outcomes. Um, at the same time, those engineers need to now, you know, have ah, we call it, call it a common lexicon. Or for Hitchhiker's Guide to the Galaxy, folks. Ah, Babel fish that needs to be developed between these teams. So a lot of the conversations with engineers right now is in the foundation is okay. What What financial terms do I need to understand? To have meaningful conversations about Op X and Capex? And what I'm going to make a commitment to a cloud provider like a committed use discount, Google or reserved instance or savings Planet AWS. You know, Is it okay for me to make that? What? How does that impact our, you know, cost of capital. And then and then once I make that, how do I ensure that I could work with those teams to get that allocated and accounted? The right area is not just for charge back purposes, but also so that my teams can see my portion of the estate, right? And they were having the flip side of that conversation with all the finance folks of like, You need to understand how the variable cloud, you know, model works. And you need to understand what these things mean and how they impact the business. And then all that's coming together. And to the point of like, how we're working with C and C f you know, into best practices White papers, you know, training Siri's etcetera, sets of KP eyes and capabilities. Onda. All these problems have been around for years, and I wouldn't say they're solved. But the knowledge is out there were pulling it together. The new level that we're trying to talk with the NCF is okay. In the old world of Cloud, you had 1 to 1 use of a resource. You're running a thing on an instance in the new world, you're running in containers and that, you know, cluster may have lots of pods and name spaces, things inside of it that may be doing lots of different workloads, and you can no longer allocate. I've got this easy to instance and this storage to this thing it's now split up and very ephemeral. And it is a whole new layer of virtualization on top of virtual ization that we didn't have to deal with before. >>And you've got multiple cloud. I'll throw that in there, just make another dimension on it. Chris, tie this together cause this is nice energy to scale up what he's built with the community now, part of the Linux Foundation. This fits nicely into your vision, you know, perfectly. >>Yeah, no, 100% like, you know, so little foundation. You know, as you're well, well aware, is just a federation of open source foundations of groups working together to share knowledge. So it definitely fits in kind of the little foundation mission of, you know, building the largest share technology investment for, you know, humankind. So definitely good there with my kind of C and C f c T o hat, you know, on is, you know, I want to make sure that you know, you know my community and and, you know, the community of cloud native has access and, you know, knowledge about modern. You know, cloud financial management practices out there. If you look at some of the new and upcoming projects in ciencia things like, you know, you know, backstage, which came out of Spotify. They're starting to add functionality that, you know, you know, originally backstage kind of started out as this, you know, everyone builds their own service catalog to go catalog, and you know who owns what and, you know and all that goodness and developers used it. And eventually what happened is they started to add cost, you know, metrics to each of these services and so on. So it surfaces things a little bit closer, you know, a depth time. So my whole goal is to, you know, take some of these great, you know, practices and potential tools that were being built by this wonderful spinoffs community and trying to bring it into the project. You know, front inside of CNC F. So having more projects either exposed, you know, useful. You know, Finn, ops related metrics or, you know, be able to, you know, uh, you know, tool themselves to quickly be able to get useful metrics that could be used by thin ox practitioners out there. That's my kind of goal. And, you know, I just love seeing two communities, uh, come together to improve, improve the state of the world. >>It's just a great vision, and it's needed so and again. It's not about saving money. Certainly does that if you play it right, but it's about growth and people. You need better instrumentation. You need better data. You've got cloud scale. Why not do something there, right? >>Absolutely. It's just maturity after the day because, you know, a lot of engineers, you know, they just love this whole like, you know, rental model just uses many Resource is they want, you know, without even thinking about just basic, you know, metrics in terms of, you know, how many idle instances do I have out there and so, like, people just don't think about that. They think about getting the work done, getting the job done. And if they anything we do to kind of make them think a little bit earlier about costs and impact efficiency, charge back, you know, I think the better the world isn't Honestly, you know, I do see this to me. It's It's almost like, you know, with my hippie hat on. It's like Stephen Green or for the more efficient we are. You know, the better the world off cloud is coming. Can you grow? But we need to be more efficient and careful about the resource is that we use in sentencing >>and certainly with the pandemic, people are virtually you wanted mental health, too. I mean, if people gonna be pulling their hair out, worrying about dollars and cents at scale, I mean, people are gonna be freaking out and you're in meetings justifying why you did things. I mean, that's a time waster, right? I mean, you know, talking about wasting time. >>I have a lot of friends who, you know, run infrastructure at companies. And there's a lot of you know, some companies have been, you know, blessed during this, you know, crazy time with usage. But there is a kind of laser focused on understanding costs and so on and you not be. Do not believe how difficult it is sometimes even just to get, you know, reporting out of these systems, especially if you're using, you know, multiple clouds and multiple services across them. It's not. It's non trivial. And, you know, Jared could speak to this, But, you know, a lot of this world runs in like terrible spreadsheets, right and in versus kind of, you know, nice automated tools with potential, a p I. So there's a lot of this stuff. It's just done sadly in spreadsheets. >>Yeah, salute the flag toe. One standard to rally around us. We see this all the time Jr and emerging inflection points. No de facto kind of things develop. Kubernetes took that track. That was great. What's your take on what he just said? I mean, this is a critical path item for people from all around. >>Yeah, and it's It's really like becoming this bigger and bigger data problem is well, because if you look at the way the clouds are building, they're building per seconds and and down to the very fine grain detail, you know, or functions and and service. And that's amazing for being able to have accountability. But also you get people with at the end of the month of 300 gigabyte billing files, with hundreds of millions of rows and columns attached. So, you know, that's where we do see you companies come together. So yeah, it is a spreadsheet problem, but you can now no longer open your bill in a spreadsheet because it's too big. Eso you know, there's the native tools are doing a lot of work, you know, as you mentioned, you know, AWS and Azure Google shipping a lot. There's there's great, you know, management platforms out there. They're doing work in this area, you know, there's there's people trying to build their own open source the things like Chris was talking about as well. But really, at the end of the day like this, this is This is not a technology. Changes is sort of a cultural shift internally, and it's It's a lot like the like, you know, move from data center to cloud or like waterfall to Dev ops. It's It's a shift in how we're managing, you know, the finances of the money in the business and bringing these groups together. So it it takes time and it takes involvement. I'm also amazed I look like the job titles of the people who are plugged into the Phenoms Foundation and they range from like principal engineers to tech procurement. Thio you know, product leaders to C. T. O. S. And these people are now coming together in the classic to get a seat at the table right toe, Have these conversations and talk about not How do we reduce, you know, cost in the old eighties world. But how do we work together to be more quickly to innovate, to take advantage of these cognitive technologies so that we could be more competitive? Especially now >>it's automation. I mean, all these things are at play. It's about software. I mean, software defined operations is clearly the trend we've been covering. You guys been riding the wave cloud Native actually is so important in all these modern APS, and it applies to almost every aspect of stacks, so makes total sense. Great vision. Um, Chris props to you for that, Jr. Congratulations on a great community, Jerry. I'll give you the final word. Put a plug in for the folks watching on the fin ops Foundation where you're at. What are you looking to do? You adding people, What's your objectives? Take a minute to give the plug? >>Yeah, definitely. We were in open source community, which means we thrive on people contributing inputs. You know, we've got now almost 3000 practitioner members, which is up from 1500 just this this summer on You know, we're looking for those who have either an interesting need to plug into are checked advisory council to help define standards as part of this event, The cognitive gone we're launching Ah, white paper on kubernetes. Uh, and how to do confidential management for it, which was a collaborative effort of a few dozen of our practitioners, as well as our vendor members from VM Ware and Google and APP Thio and a bunch of others who have come together to basically defined how to do this. Well, and, you know, we're looking for folks to plug into that, you know, because at the end of the day, this is about everybody sort of up leveling their skills and knowledge and, you know, the knowledge is out there, nobody's head, and we're focused on how toe drive. Ah, you know, a central collection of that be the central community for it. You enable the people doing this work to get better their jobs and, you know, contribute more of their companies. So I invite you to join us. You know, if your practitioner ITT's Frito, get in there and plug into all the bits and there's great slack interaction channels where people are talking about kubernetes or pinups kubernetes or I need to be asked Google or where we want to go. So I hope you consider joining in the community and join the conversation. >>Thanks for doing that, Chris. Good vision. Thanks for being part of the segment. And, as always, C N C F. This is an enablement model. You throw out the soil, but the 1000 flowers bloom. You don't know what's going to come out of it. You know, new standards, new communities, new vendors, new companies, some entrepreneur Mike jump in this thing and say, Hey, I'm gonna build a better tool. >>Love it. >>You never know. Right? So thanks so much for you guys for coming in. Thanks for the insight. Appreciate. >>Thanks so much, John. >>Thank you for having us. >>Okay. I'm John Furry, the host of the Cube covering Coop Con Cloud, Native Con 2020 with virtual This year, we wish we could be there face to face, but it's cute. Virtual. Thanks for watching

>> Woman: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Okay welcome back already Jeff Frick here with theCUBE. We're in our Palo Alto Studios here. Can't believe we just turned the calendar on September the 1st of 2020. What a year, it's cruising by. And one of the big topics obviously is working from home, we're seeing more and more companies telling everybody to expect to work from home through the end of the year or into next year, some are even saying indefinitely. And we've got an expert coming on the show that we're excited to have back. It's Dr. Karen Sobel Lojeski. She is the founder and CEO and author of "Virtual Distance and the Virtual Distance Company". Karen, great to see you. >> Great to see you too Jeff, thanks for having me. >> Absolutely, so I wanted to get you back on for a couple reasons. One is we first met at the ACGSV, Association for Corporate Growth Silicon Valley 2018 Awards, about two years ago was summer of 2018. And at that point, you introduced me to the concept and our audience, to the concept of virtual distance, which if I can summarize is basically communicating through devices versus face-to-face, like we're doing here. And the bad things that come from that and challenges and this and the other. Who knew that two years from then we would all be forced and not asked, but forced to basically go to a work-from-home environment and increase the frequency and use of using electronic devices to communicate not only for work, but also for social stuff, for school, for everything, so, oh my goodness, you happen to be in the right place at the right time for not necessarily the greatest of reasons, but wow, I mean, how amazing this transformation that we've all been forced to since the middle of March. First off, get your thoughts on that and then we'll dive into what people should be thinking about, what people should be doing about it and how they can, I want to say make the most, but it does kind of make the most of, not necessarily the greatest situation. >> Yeah, well, I could have never imagined when we were sitting out at that round table outside the room where we had dinner that we'd be here two years later, right, talking about virtual distances, you said in the context of everyone having to be isolated from each other and working from home. Obviously, like everyone on the planet, I think I would never have wanted to see this happen. But I feel fortunate in a way to have put this out there many years ago because today it's serving a lot of different organizations, corporations, schools, even government organizations to have a very steady framework that's based on 15 years of data, to understand how to make the best, as you said, of this situation and to reduce some of the negative consequences of virtual distance and actually use the framework as a way to get to know people better and really see them more as human beings in a way that helps them through not just their work life, but also through the family challenges that they're having with every kid now, sort of going back to school, many of them online, there's a lot of virtual distance that can crop up even in the house. But I guess I just, I'm glad that I discovered virtual distance, and that it's useful in this time. >> Right, right. So let's jump into it. And actually I want to skip to the end of the book before we get into the beginning of the book because you talked about leadership and when this thing first hit, we had a number of leaders from the community, talking about leading through trying times. And most great leaders know that their primary job is really communication, right? Communication to their teams, communication to their constituents, communication to their customers. COVID has really changed the communication challenges and increase them dramatically and most of the stuff we're hearing is that leaders need to communicate more frequently and in more variety, both in terms of topics as well as communication forms. How does that kind of jive with your studies on virtual distance and leadership, given the fact that there aren't a lot of other options in terms of face-to-face or a little bit more intimate things? They have to use these electronic means. So what tips do you have for leaders, as they suddenly were told everybody's working from home starting like tomorrow? >> Yeah, well, it's funny that you asked me that because we learned early on when I started looking at this phenomenon in the early 2000s. We learned early on that it actually takes a lot more work and time to lead virtually than it does in more traditional environments. And the reason is because a leader really has to bring forward a lot of context that tends to go underground or become invisible about other people when we're working virtually. So the leader already was under a lot of pressure if you will, to communicate much more than they had been in more traditional settings because a lot of the information and knowledge and intelligence if you will, about the company was available in the context of the environment and other people. So leaders were already on track to having to communicate much more in order to make make remote work and virtual work work. Well, which of course it can. >> Right. >> But what happened was, we found that when suddenly a light switch is turned off, leaders needed to communicate even more. And that is kind of standard crisis management leadership. We talked a little bit about that in the past, right? So we can look at the situation we're in as not just an acute crisis that came to bear in early January and then sort of everything locking down in March. But we can kind of look at this as a long-term leadership crisis management strategy on top of just over communicating to do better in virtual space. And in a crisis management situation you definitely want to have even more communication, but it's also an opportunity actually to develop other leaders behind you on teams that can also communicate as well, to share that responsibility, to share that leadership commitment to a lot of communication during times like this, that actually works really well. >> Right, 'cause one of the things you talked about that's super, super important, more important actually than physical distance or the virtual distance is what you called the affinity distance, and I think it ties back to another point in the book in terms of clarity of communication from the leadership. What are the goals, what is the vision? And reinforcing that at a rate and frequency much higher than they've ever done before to build that affinity so people can continue to feel like they're part of something beyond more just the tasks and the roles and the assignments that I have to do every day. >> Yeah, that's exactly right, Jeff. So again, we found early on. And it was a surprise to us at first, but then became kind of obvious that people tend to think that the real challenge with virtual work is physical distance, right, sort of the space between us in terms of a geography or a geographic separation. And what we learned early on through the statistics, as well as sort of common sense was that actually physical distance had the least impact on corporate outcomes than any of the other three factors. So the affinity distance piece is really all about, how do I gain an affinity for someone when I really don't know that much about them. And I don't know much about their context in the moment that we're talking, and I also just know less about them in general when we're virtual. >> Right. >> So affinity distance is much more important than the physical separation because it's what holds us together and allows us to build very, very deep relationships which we can count on and trust no matter what the situation is. And yeah, doing that in these times is very important. >> So it's funny, right? 'Cause so much of the problems that we have with communications are in the subtle feedback mechanisms that aren't necessarily in the overt communication and as you said, those can be lost in a lot of channels. What's kind of (chuckles) interesting that's going on with COVID is we're actually seeing a side of people that we never did see in the physical space, right. Now we're literally being invited into everyone's home. I mean, I'm in your home office, I can see your books on your bookshelf and people are bringing people into their home which they may not have done before or been comfortable. Not only that, but the spouse is there, he or she is working from home. The kids are there, they're doing their school from home, the occasional dog or pet or other thing kind of jumping through the screen. So it's this weird kind of juxtaposition. On one hand you've lost a whole lot of kind of subtle communication reinforcers. On the other hand, you're getting kind of a whole new kind of the human side aspect in terms of who these people are and what they're all about, that you never necessarily had before. So I think the blending of the whole self is probably been elevated, even though the communication challenges without having kind of all these subtle feedback loops that we really rely on, are gone. So when you think about communication and communication methods based on communication messages and what you're trying to do, how do you tell people to think about that? What types of communications should be done in which ways to make them the most effective and avoid some of the real problems that come from the wrong type of communication on the wrong type of channel? >> Yeah, so first of all, you make some great points. Because it really is when we invite people into our home via these kind of video links, people see a different side of us, a contextualized side to us that they normally wouldn't see. And that opens the door, as you said, to having other communications. I think before I get directly to your question, one thing that strikes me about what you say is that this is truly a shared experience, right? So all of us are being impacted by COVID-19, the economics of the situation, the childcare issues that are raised by the situation, the community issues that we all have in our towns or cities. And we're sharing that experience, which is a great jumping off point in terms of communications because we actually have a very similar context from which were working. In terms of which communications to use when. This is a really important question, I had a person from a very, very large tech company that people use every day to go look for things on the Internet, call me and tell me at one point early, sort of early on in the pandemic that some of his people were starting to beg him to turn off the video screens. (chuckles) And just use audio because sometimes when we're overwhelmed with a crisis the video can be helpful, but it can also sort of be overwhelming. So it's important to understand sort of when to discern, when to use audio and when to use visual, when to use email and when to use tax. And the basic tips here is that email has really never been good to explain ourselves to other people. It's been great to set up lunch dates or an appointment and things like that. So email should be used pretty sparingly. Audio is really great if we don't have video, but we also just kind of need a rest from video. And we also need to really focus on a person's voice very, very intensely. So if we're trying to solve a really critical problem that's a little bit conceptual, sometimes audio can can be more helpful. Video is obviously great because it gives us all this context and it allows people to see into our home and hear our cats kind of screaming at each other which is happening right now in my house. But it also lets us see each other's expressions and a little bit of the facial communication that we need in order to know if people are okay with what we're saying, if they're quizzical and looking like they kind of don't understand et cetera, The overarching goal of communications in a situation like this, that I talk a lot about in the book, is to mix up modes of communication as much as you can think about that, right? Because we get context as I've just explained in different ways through different modes. And so if we mix it up, if I say well, I've talked to Jeff a lot over video maybe I'll just give him a call today. Or I've been using a lot of email to talk to one of my colleagues in Norway, maybe I should really try to set up a video call that is very helpful because it gives us dimensionality to someone's personality as well as their context. >> Yeah, that's a really interesting point. I think most people are always saying turn on the video, turn on the video, we want to see everybody's face but as this thing continues to go and go and go and it's going to go for the foreseeable future, and people are going to get fatigue, right, people are getting Zoom fatigue. That's a really interesting and simple way to I think, kind of lessen the stress a little bit by telling people, let's just turn the video off. We don't necessarily need to see each other, we know what we look like. And if you feel some reason to turn it on, you can turn it on, but having that as an option, I think that's a really insightful. And the other thing I want to focus on is it's not all negative, right? I mean, there's a lot of studies about the open office plan, which didn't necessarily work so well, and we've had conversations with a lot of people that say, just because you throw everybody in a room together doesn't mean that they're necessarily going to communicate more and there aren't necessarily the water cooler chatter that you're kind of hoping for. And in fact, you have a bunch of stats in the book here about remote workers having actually a lot of success. They have less trouble with technology, they can cope best with multiple projects. There's so many less interruptions, (chuckles) assuming the rest of the family has a place to work. But you don't get kind of the work interruptions that you would in terms of actually getting projects done. So, it's not all bad. And I think there's a lot of things that we can help people think about to really take advantage or make the most of the opportunity, to take advantage is probably the wrong word. So, vary communications, frequency in communications is certainly a good one. What are other ways that people kind of build trust? 'Cause you talk a lot about trust and feeling part of something bigger and not letting the individual tasks and the little day-to-day things that we do get in the way of still feeling like you belong to something that's important, that you care about, with your teammates that you want to move forward. >> Yeah, so the it's a great question, and again I think, obviously, amongst sort of the darkness there's always sort of opportunities to see some light. And I think one of the ways that we can see light through working this way at this time is to expand our understanding of the people that we're working with, right? And we can do that in a framework, it doesn't have to be haphazard. So when we look at affinity, what we really want to do is to bring forward the way people feel about their value systems, what's important to them about work in sort of pre-COVID or BC, right before COVID, but also what's important to them about their family life or about the situation that's happening, that's interacting with and integrating with their work life. So asking those questions in ways that are not guised, but sort of directly asking them things about what they value? How they feel that they're interdependent on other people? Why other people are important to them in their work, as well as just in their day-to-day lives? Those are the kinds of opportunities for questions around things that are not work related, are not party Friday, which are also kind of fun things right? But that get more to the core of who a person is, that whole person that you were talking about. And that allows us to see so much more deeply, ironically, into that human being. And when you talk about purpose, and really wanting to feel like we're part of something bigger than ourselves, those kinds of insights that build affinity help us help other people. So, we tend to focus on task orientation and goals and deliverables and all that which is absolutely critical for business continuity, and to get through the day and focus our attention. But actually what makes people feel really good about their day as a person is often how they can help other people. And so if we draw this closer affinity, we can actually figure out ways to help other people. And that just lifts everybody up and makes the work product actually even better. >> Right, right, I've always ascribed to the theory that right, if you spend your work helping other people do their work better, easier, get roadblocks out of the way, whatever, be an enabler, then you're getting this multiplier effect because I'm doing my work and I'm helping somebody else be more efficient. And it's a very different way to kind of think about work in terms of helping everybody be more effective, more efficient, and as you said, you get this great multiplier effect, but I want to shift gears a little bit. And this sentence, just jumped out of your book. I'm actually going to read from it, that despite the fact that many leadership challenges are new, we continue to over rely on management thinking and solutions that are fundamentally designed around outdated assumptions. I mean, to me this is such a huge thing. We had Martin Mikason at the beginning of this process and his great line, and he's managed remote companies for years and multiple companies. And he said, it's so easy to fake it in the office, right? It's so easy to look busy. (Karen chuckles) Whereas when you're working from home, the only thing you have to show is your output. And that's what you're graded on, your output. And yet when this thing first hit, we saw all types of new products coming out that are basically spyware for the employees, how often are you sitting in front of your computer? How often are you on a Zoom call? How often are you, doing these things? And it's striking to me that it's such an outdated way to measure activity, versus a way to measure outcome and output and what are you trying to do? I mean, it just drives me crazy to hear those things, I just love to get your take that people still are mixed up about what they're supposed to be measuring and what the purpose of the whole task is, which is to get output done not just to be busy and sit in Zoom calls all day. >> It's so true. So there's sort of two prongs to that question. And two very important things to look at. So one is how do we measure productivity, right among knowledge workers, which has been the topic of a lot of conversation. And the other thing is, what have leadership models been built off of in the past, right? If you just take the first thing first. Productivity today, if you go to the Bureau of Labor Statistics website, you will still see productivity defined as how many widgets can I produce in an hour. That's still today, how we measure productivity, even though (chuckles) all of our output or most of our output, right, is coming from our knowledge, our thinking, our problem solving. (clears throat) So the notion of productivity feels very heavy handed to a lot of people, because it's still rooted literally economics wise in this notion of x widgets per hour, which just doesn't fit. And that comes through the second point, which is our leadership models, right? So I talked in the book and I've been talking about this for many years, because it just jumped out at me when I started to do this research, is that if you look at most leadership models today, any one of them, pick whatever one you like, transformational leadership, transactional leadership, situational leadership or whatever it might be. Those leadership models were built mainly in the 1950s. And some of them came later in the 80s. We have a few new ones, (clears throat) excuse me that have come after the internet, but not too many. And fundamentally, if you look at the communication mode of leaders in the 50s, and the 80s, it was face-to-face or phone. I mean, just by definition, was in person or via phone. But that assumption doesn't hold true anymore and hasn't held true for a good 15 years. And yet, in every business school today, we still use those leadership models as sort of our first run at how to lead. It's not that they're not useful and helpful and don't have extremely good words of advice for leaders. But the main thing leaders do is communicate. So if the fundamental channel over which leaders are communicating has completely changed, it seems natural that we should be looking for new leadership models (chuckles) that fit our times a little bit better. Taking pieces of the best of those leadership models, but really turning them on their head and saying, what's really a better approach when fundamentally our communication mode itself, it has completely changed. >> Right right. >> And that's what we do as leaders. >> And I do just want to say a word. We're talking about working from home and knowledge workers and unfortunately, there's a whole lot of people going through COVID right now that don't have that option, right. If you're in the travel industry, if you're in the hospitality industry, if you're in a lot of services industries, if you are a plumber, you can't go virtual as a plumber, unfortunately. So just to acknowledge that, what we're talking about applies to a lot of people, but certainly not everyone and everyone doesn't have these options. So I just wanted to mention that but before we wrap, Karen, the thing that struck me, as you're talking about kind of the 50s and the organizational structure, was it was really command and control and just top down hierarchies that dictated what people did. And then you as you said, your job was to put so many widgets on the widget receiver per hour, and that's what you were graded on. Where in knowledge workers, it's a very different thing. And in fact, you shouldn't tell people how to do things, you should tell people what the objectives are, and then see what they come up with. And hopefully, they'll come up with lots of different ways to achieve the objective, most of which that management has never thought of, they're not down in the weeds, and you get all kinds of interesting and diversity of opinion and different approaches. And kind of a DevOps mentality where you try lots of things and you'll find new ways to get it done. So I want to close out on this final kind of communication piece for leadership. And this is the why. I think back in the 50s, I don't know that the why we was that important. Or maybe it was and I'm not giving it enough credit. But today the why is so important. That is such a big piece of why do I come to work every day? And why am I important to work with my colleagues and move this mission forward. And so whenever you can just share, how important the why is today, and then how important the why is in trying to build a culture and hold people together when they are now by rule distributed all over the place. Talk a little bit about the why. >> Yeah, I love that question, Jeff. Because in the book, I talk a lot about Taylorism. And Taylor was the founder of like bureaucratic management and leadership and he actually despised the worker. (chuckles) There's actually a little piece in the book where he's testifying to Congress and saying that the man who handles pig iron, a type of steel, wasn't intelligent enough to understand what pig iron really was, he got a lot of flak for that. (chuckles) So as we've evolved, right, and as we've grown as organizations into knowledge workers, and I think your point about not everyone is a quote unquote, knowledge worker, is really, really important. The bottom line is, we're trying to measure our output and the value of our work by these older standards. And so people are struggling a little bit with that sort of disconnect, and looking for why, what purpose do they have? What is their bigger purpose? How are they connected to the organization in new ways? And there's actually an excellent analogy in the Navy. Is has its traditions in the Navy, called Commander's Intent which I talk about. So if you think of ships that used to sail, right out to sea, and they had lots of goals about either taking over a certain country or whatever it was they were doing, they couldn't be together, right. So we've been working remotely for a very long time. So the commander would gather all of his lieutenants, and basically tell them what his or, there were no hers at that time, but what his intentions were. And the lieutenants, the captains of the other ships, would go out to each ship, and they wouldn't follow a blueprint tactical plan they would just have the Commander's Intent as their guide. And then they were free actually, to use whatever strategies and tactics that they thought of and that worked in their context in order to fulfill the Commander's Intent, but they weren't given a blueprint. Their goal was really to use their own smarts, their own critical thinking in order to carry forward that intent. And I think that idea is very powerful today because I think if leaders can focus on helping their workers, their employees, their ecosystem partners, supply chain partners, whatever it may be, understand what the intent of the company is, and show that they trust the employees or the partner to deliver on that intent, with whatever means and creativity and imagination, guided by the intent, can be used and selected from on their day-to-day lives, people will feel so much more empowered and still get to the same outcome or actually better, than if they're told do A, B, C and D. So this idea of leader intent, I think would serve companies really well during this time, and if I could just add one other quick thing. There's another idea that comes out of sort of the military that I used and doing some work with leadership crisis management after 9-11. Around this notion of net-centricity. Net-centricity is sort of allowing people on the ground to sort of form their own networks and push information up to leadership so that they can make certain decisions and then push those decisions down with an intention back to the ground, so that this network can operate with some freedom and flexibility. And I think corporations can put net-centricity actually into place in a structured way and they'll find themselves with a lot more flexibility, higher levels of business continuity and effectiveness, and perhaps, most importantly, giving a sense of more meaningfulness and purpose and powerfulness, or self actualization back to the worker. >> Right, right, as you're speaking the word I just can't get out of my head is trust, right? It's so much about trust. And then giving people the power, enabling people the power that you trust to go do the jobs that you've hired them to do. And then to the other point that we talked about, then as a leader, help them remove roadblocks. Give them the tools, do the things that you can do to help them do their job better, versus to your point, being super prescriptive on the road actions that you wish that they would do, and then managing to the completion of the road, actions versus the accomplishment of the bigger task. It seems so simple, it's so hard for so many people to grok. It just, it still just amazes me that so many folks are unfortunately still stuck in that old paradigm. But you can't anymore 'cause everybody's (chuckles) working from home, so you better get with the program. >> (clears throat) Yeah, I'm sorry, I have a little frog in my throat. But you can. And just to add to what you're saying. I think the best thing that leaders can do is also expand their understanding of the worker as no longer just coming to work in some kind of bubble. They're coming to work with all kinds of personal situations. And I've had clients who have sort of tried to get away from that and keep the worker in a bubble. And I think, to be successful as we get through this sort of long-term leadership crisis, I think it's important to lean in to the chaos. Lean into the complexities that COVID, the pandemic, the economic situation bring and see the corporation and their role as leaders as trying to help that whole person with the complexities of their life, as opposed to trying to divorce them from their life, because that has not worked. And what works best, and I've seen this over and over again, is that companies that lean into the crisis, embrace it, and really try to help that whole employee who's coming to work in their house, really, really works very well. >> Yeah, it's going to be interesting as we come out of the summer and go back into the fall, which is the traditional season of kids going back to school and everybody kind of going back to work, and in our world conferences, and it's kind of the ramp up of a busy activity until we get kind of to the Christmas season again coming off of summer, now knowing that isn't a temporary situation, this isn't going away anytime soon. I mean, we used to talk about the new normal in March or April and May. Well now talking about the new normal in September, October, November and into 2021 is a whole different deal. So to your point, I think that's a great tip, lean in, do the best you can, learn from the experts. You don't need to do it by yourself. There's lots of documentation out there. Darren Murph has stuff up from GitHub. Or excuse me GitLab. There's lot of good information. So you do have to kind of buy into it and embrace it, 'cause it's not it's not going away. So these are great tips Karen and I give you this, the last word before we sign off. Of all the work you've done, all the clients you've worked with, a couple of two or three really good nuggets that are really simple things that everybody should be thinking about and doing today. >> I think, there's the Waldorf Schools out by you on the west coast, right, have a motto that they use for education. And it it says in through the heart out through the mind. And I think more than ever, leadership and business can borrow that idea. I think we have to sort of look at things in through the heart. And then, distribute our directions and our leadership out through the mind. At the end of the day (chuckles) we're all human beings that are all struggling in this shared experience, something that has literally never happened on planet earth with 8 billion people, connected through technology with a global pandemic. And so if we kind of can make a shift and think about taking things in through the heart and then delivering out through the mind. I think that a lot of people will feel that compassion. And that will translate into the kind of trust that we're trying to build between all of us to get through it together. And I think when we do that, I have a lot of confidence in the human spirit that we will get through it. People will be able to look back and say, yes, this was very difficult and horrific on many levels, but at the end of the day, maybe there's a little bit of a renaissance in how we sort of look at each other and treat each other with compassion and some love and joy, even in the worst of times. I think that translates over any communication medium (chuckles) including the one we're using today. >> Well, Karen, thank you for the time and thank you for closing this with a little bit of light. Congrats again on the book, "The Power of Virtual Distance", I'm sure it's available everywhere. And again, great to see you. >> Thank you so much Jeff, you too. >> All right. >> Take care. >> She's Karen, I'm Jeff, you're watching theCUBE. Thanks for watching. We'll see you next time. (soothing music)

>> Announcer: Live from Las Vegas, it's theCUBE, covering AWS re:Invent 2019. Brought to you by Amazon Web Services and Intel, along with its ecosystem partners. >> Well, welcome back here on theCUBE. We're at AWS re:Invent 2019. And every once in a while, we have one of these fascinating interviews that really reaches beyond the technological prowess that's available today into almost the human fascination of work, and that's what we have here. >> Big story. >> Dave Vellante, John Walls. We're joined by Sebastien De Halleux, who is the CEO, oh, COO, rather, of a company called Saildrone, and what they feature is wind-powered flying robots, and they've undertaken a project called Seabed 2030 that will encompass mapping the world's oceans. 85% of the oceans, we know nothing about. >> That's right. >> And, yeah, they're going to combine this tremendous technology with 100 of these flying drones. So, Sebastien, we're really excited to have you here. Thanks for joining us, and wow, what a project! So, just paint the high-level view, I mean, not to have a pun here, but just to share with folks at home a little bit about the motivation of this and what gap you're going to fill. Then we'll get into the technology. >> So I think, you know, the first question is to realize the role of oceans and how they affect you on land and all of us. Half the air you breathe, half the oxygen you breathe, comes from the ocean. They cover 70% of the planet and drive global weather, they drive all the precipitation. They also drive sea-level rise, which affects coastal communities. They provide 20% of the protein, all the fish that we all eat. So, you know, it's a very, very important survival system for all of us on land. The problem is, it's also a very hostile environment, very dangerous, and so, we know very little about it. Because we study it with a few ships and buoys, but that's really a few hundred data points to cover 70% of the planet, whereas on land, we have billions of data points that are connected. So, that's why we're trying to fundamentally address, is deploying sensors in the ocean using autonomous surface vehicles, what we call Saildrones, which are essentially, think of them as autonomous sailboats, seven meters, 23 feet, long, bright orange thing with a five-meter-tall sail, which is harnessing wind power for propulsion and solar power for the onboard electronics. >> And then you've got sonar attached to that, that is what's going to do the-- >> The mapping itself. >> The underwater mapping, right, so you can look for marine life, you can look for geographical or topographical anomalies and whatever, and so, it's a multidimensional look using this sonar that, I think, is powered down to seven kilometers, right? >> That's right. >> So that's how far down, 20,000, 30,000 feet. >> That's right. >> So you're going to be able to derive information from it. >> You essentially describe it as, you're painting the ocean with sound. >> That's absolutely right, whereas if you wanted to take a picture of land, you could fly an airplane or satellite and take a photograph, light does not travel through water that well. And so, we use sound instead of light, but the same principle, which is that we send those pulses of sound down, and the echo we listen to from the seabed, or from fish or critters in the water column. And so, yes, we paint the ocean with sound, and then we use machine learning to transform this data into biomass, statistical biomass distribution, for example, or a 3-D surface of the seabed, after processing the sound data. >> And you have to discern between different objects, right? I mean, you (laughs) showed one picture of a seal sunbathing on one of these drones, right? Or is there a boat on the horizon? How do you do that? >> It's an extremely hard problem, because if a human is at sea looking through binoculars at things on the horizon, you're going to become seasick, right? So imagine the state of the algorithm trying to process this in a frame where every pixel is moving all the time, unlike on land, where you have at least a static frame of reference. So it's a very hard problem, and one of the first problems is training data. Where do you get all this training data? So our drones, hundreds of drones, take millions of pictures of the ocean, and then we train the algorithm using either labeled datasets or other source of data, and we teach them what is a boat on the horizon, what does that look like, and what's a bird, what's a seal. And then, in some hard cases, when you have a whale under the Saildrone or a seal lying on it, we have a lot of fun pushing it on our blog and asking the experts to really classify it. (Dave and John laugh) You know, what are we looking at? Well, you see a fin, is it a shark? Is it a dolphin? Is it a whale? It can get quite heated. >> I hope it's a dolphin, I hope it's a dolphin. (Sebastien laughs) All right, so, I want to get into the technology, but I'm just thinking about the practical operation of this. They're wind-powered. >> Sebastien: Yes. >> But they just can't go on forever, right? I mean, they have to touch down at some point somehow, right? They're going to hit water. How do you keep this operational when you've got weather situations, you've got some days maybe where wind doesn't exist or there's not enough there to keep it upright, keep it operational, I mean. >> It's a very good question. I mean, the ocean is often described as one of the toughest environments in the universe, because you have corrosive force, you have pounding waves, you have things you can hit, marine mammals, whales who can breach on you, so it's a very hard problem. They leave the dock on their own, and they sail around the world for up to a year, and then they come back to the same dock on their own. And they harvest all of their energy from the environment. So, wind for propulsion, and there's always wind on the ocean. As soon as you have a bit of pressure differential, you have wind. And then, sunlight and hydrogeneration for electrical power, which powers the onboard computers, the sensors, and the satellite link that tells it to get back to shore. >> It's all solar-powered. >> Exactly, so, no fuel, no engine, no carbon emission, so, a very environmentally friendly solution. >> So, what is actually on them, well, first of all, you couldn't really do this without the cloud, right? >> That's right. >> And maybe you could describe why that is. And I'm also interested in, I mean, it's the classic edge use case. >> Sure, the ultimate edge. >> I mean, if you haven't seen Sebastien's keynote, you got to. There's just so many keynotes here, but it should be on your top 10 list, so Google Saildrone keynote AWS re:Invent 2019 and watch it. It was really outstanding. >> Sebastien: Thank you. >> But help us understand, what's going on in the cloud and what's going on on the drone? >> So it is really an AWS-powered solution, because the drones themselves have a low level of autonomy. All they know how to do is to go from Point A to Point B and take wave, current, and wind into consideration. All the intelligence happens shoreside. So, shoreside, we crunch huge amounts of datasets, numerical models that describe pressure field and wind and wave and current and sea ice and all kinds of different parameters, we crunch this, we optimize the route, and we send those instructions via satellite to the vehicle, who then follow the mission plan. And then, the vehicle collects data, one data point every second, from about 25 different sensors, and sends this data back via satellite to the cloud, where it's crunched into products that include weather forecasts. So you and I can download the Saildrone Forecast app and look at a very beautiful picture of the entire Earth, and look at, where is it going to rain? Where is it going to wind? Should I have my barbecue outside? Or, is a hurricane coming down towards my region? So, this entire chain, from the drone to the transmission to the compute to the packaging to the delivery in near real time into your hand, is all done using AWS cloud. >> Yeah, so, I mean, a lot of people use autonomous vehicles as the example and say, "Oh, yeah, that could never be done in the cloud," but I think we forget sometimes, there are thousands of use cases where you don't need, necessarily, that real-time adjustment like you do in an autonomous vehicle. So, your developers are essentially interacting with the cloud and enabling this, right? >> Absolutely, so we are, as I said, really, the foundation for our data infrastructure is AWS, and not just for the data storage, we're talking about petabytes and petabytes of data if you think about mapping 70% of the world, right, but also on the compute side. So, running weather models, for example, requires supercomputers, and this is how it's traditionally done, so our team has taken those supercomputing jobs and brought them into AWS using all the new instances like C3 and C5 and P3, and all this high-performance computing, you can now move from old legacy supercomputers into the cloud, and so, that really is an amazing new capability that did not exist even five years ago. >> Sebastien, did you ever foresee the day where you might actually have some compute locally, or even some persistent-- >> So on the small Saildrones, which is the majority of our fleet, which is going to number a thousand Saildrones at scale, there is very little compute, because the amount of electrical power available is quite low. >> Is not available, yeah. >> However, on the larger Saildrone, which we announced here, which is called the Surveyor-- >> How big, 72 feet, yeah. >> Which is a 72-foot machine, so this has a significant amount of compute, and it has onboard machine learning and onboard AI that processes all the sonar data to send the finished product back to shore. Because, you know, no matter how fast satellite connectivity's evolving, it's always a small pipe, so you cannot send all the raw data for processing on shore. >> I just want to make a comment. So people often ask Andy Jassy, "You say you're misunderstood. "What are you most misunderstood about?" I think this is one of the most misunderstood things about AWS. The edge is going to be won by developers, and Amazon is basically taking its platform and allowing it to go to the edge, and it's going to be a programmable edge, and that's why I really love the strategy. But please, yeah. >> Yeah, no, we talked about this project, you know, Seabed 2030, but you talked about weather forecasts, and whatever. Your client base already, NASA, NOAA, research universities, you've got an international portfolio. So, you've got a whole (laughs) business operation going. I don't want to give people at home the idea that this is the only thing you have going on. You have ongoing data collection and distribution going on, so you're meeting needs currently, right? >> That's right, we supply governments around the world, from the U.S. government, of course, to Canada, Mexico, Japan, Australia, the European Union, well, you name it. If you've got a coastline, you've got a data problem. And no government has ever come and told us, "We have enough ships or enough data on the oceans." And so, we are really servicing a global user base by using this infrastructure that can provide you a thousand times more data and a whole lot of new insights that can be derived from that data. >> And what's your governance structure? Are you a commercial enterprise, or are you going-- >> We are a commercial enterprise, yes, we're based in San Francisco. We're backed by long-term impact venture capital. We've been revenue-generating since day one, and we just offer a tremendous amount of value for a much cheaper cost. >> You used the word impact. There's a lot of impact funds that are sort of emerging now. At the macro, talk about the global impact that you guys hope to have, and the outcome that you'd like to see. >> Yeah, you know, our planetary data is all about understanding things that impact humanity, right? Right now, here at home, you might have a decent weather forecast, but if you go to another continent, would that still be the case? Is there an excuse for us to not address this disparity of information and data? And so, by running global weather model and getting global datasets, you can really deliver an impact at very low marginal cost for the entire global population with the same level of quality that we enjoy here at home. That's really an amazing kind of impact, because, you know, rich and developed nations can afford very sophisticated infrastructure to count your fish and establish fishing quarters, but other countries cannot. Now, they can, and this is part of delivering the impact, it's leveraging this amazing infrastructure and putting it in the hands, with a simple product, of someone whether they live on the islands of Tuvalu or in Chicago. >> You know, it's part of our mission to share stories like this, that's how we have impact, so thank you so much for-- >> I mean, we-- >> The work that you're doing and coming on theCUBE. >> This is cool. We talk about data lakes, this is data oceans. (Dave laughs) This is big-time stuff, like, serious storage. All right, Sebastien, thank you. Again, great story, and we wish you all the best and look forward to following this for the next 10 years or so. Seabed 2030, check it out. Back with more here from AWS re:Invent 2019. You're watching us live, right here on theCUBE. (upbeat pop music)

>>live from San Diego, California It's the Q covering Koopa and Cloud Native Cot brought to you by Red Cloud. Native Computing Pounding and its ecosystem March >>Welcome back. This is the cubes coverage. Fourth year of Q Khan Cloud native Khan, 2019 Here in San Diego. I am still Minutemen like co host for this afternoon is Justin Warrant and happy to welcome to the program A first time guests, but was on the keynote stage yesterday Sougou Super Marine, who is the co founder and CEO of Planet Scale and also one of the, uh, we're gonna be talking about the test which graduated, announced on the stage. They didn't put a cap and gown or roll everything out, which they did a couple of years ago. But first, thanks so much for joining us. And congratulations. Thank you. All right, so, Sougou, bring us back. You know, we're talking about a cloud native database and we'll dig into that and everything, but bring us back to what you were working on. And you know why of what we now call >>so the When we started with us, we were really not thinking of cloud native itself. for say, it was kind of a sequence of events that kind of forced with us to become cloud native long before cloud native was actually born as even the term was born. Which was when we had to move the test from YouTube on print into Google's board, which use the predecessor off Cooper natives. Um, the reason why the test is kind of one of the leading storage projects in Cloud Native was because it was probably the first project that remained open source, even though we managed to ram it with >>work. Yeah, you know what? One of things we've been talking about at the show here is you know, in the early days, you know, we were very much talking about infrastructure, but we know the reason we have infrastructure is to run applications, and one of the most important applications is databases, and I talk to customers. It's not just one database. Often they have many different databases on, and that is one of the big challenges today. So, you know, you kind of look at that landscape, help us understand how this fits into that. That overall picture. >>Yeah, so that kind of goes back in tow, Google's history and how that can influence kubernetes itself. So if you look at Google's board, most off its features are meant for running stateless application. So within Google, people who wrote applications when they wanted to store state they just called out into a service that was semi part of board but wasn't itself run by board as if you would run your application. So many of those properties were inherited by Cooper natives. So which is the reason why? Um, right from the beginning, it was hard to make storage work for cover natives on Dhe. For that reason, even a zoo recently as early this year, If you look at the tweets from Kelsey Hightower, don't just move your database into communities. You're going to regret it. People still say that, but at the same time, because we test way, we're able to figure out howto make storage work under the stringent rules that Borg had, which was mainly to support stateless applications. In other words, we actually land because, as if it was a stateless application, while still managing while still making state state will not survive this stateless behavior, which is actually why we just managed to be launched within communities as soon as it was born. Ah, but it has been a struggle for other people because they didn't have the luxury of preparing for it without even knowing. Uh so I think that more effort needs to be made on both sides, both from people who are writing storage to make them work with communities as well as kubernetes itself, trying to meet them halfway, trying to add features to help the storage developers. >>It has been a real struggle. I remember from even the very first show I came to four years ago in Seattle looking at the set. My media thing is an ex storage guy and has a backup guy was to go and look at things and say OK, this is lovely for stateless applications, you said. But riel applications have data in them and they need to maintain state. Where's the state looking at all of the group in any type of things, like there were no state full sets with another thing that has changed a lot in four years, and people have come to the party and we need to be able to manage state. But now that you we have a database like a test, isn't that just taking things to the point where I as an app developer, I can just write my stateless application and then my data can live inside a data management service like a test? So I don't actually need to deal with any of that state management problem myself. >>That's what it amounts to. Uh, the the one property of the test is that it can run both in communities and outside. So there are people who run tests on Prem and they have their own orchestration layer. So that has given some challenge where we just cannot depend on communities. You cannot call into communities a p I s o. The way we have the architect of the test is that it knows when it runs within a orchestrated environment, how to interact with it, but it doesn't assume that it exists. So >>why have you provided that functionality? Is that because customers said that I actually want to be able to run the test, But I don't wanna have to deal with kubernetes >>exactly like so not everyone has migrated to communities. It is surprising that everybody wants to migrate communities. But then many of them are saying, I don't know how many years out it is on. Then for them, we just solved a different problem, which is the problem of sheer massive scale ability on dhe for them. They want to be able to still run with us on print s. So for that reason, that is actually a small gap between communities and the test itself. On dhe, we're filling that gap with health charts in the open source on Dhe Planet Scale, which is the company that I founded has built an operator that we're also going to open source so that people can use that to launch community >>before we talk about planet scale You. No, no, no, no. Absolutely. In the keynote you had some customer stories on might might help illustrate some what we're talking about, you know, the scalability of the environment, everything. So you know, I'll let you choose that kind of a short example. You know, the slack One you know, is one that I think president in the audience there. But >>I would choose slack. Ah, Jerry's always obviously enormous, but I will choose slack and nozzle because they represent two very different but really genuine needs in the industry. Slack once not just massive scale, but they want flexibility with manipulating data on DDE. That is something that is manipulating data really, really hard. Onda. We believe that we found the secret sauce to make that work with tests, and that is the reason you saw those statements from Slack. They're so passionate and with so much conviction, that is because they were fascinated by what we could do with their data. So that is one example and slack does not run on communities. They don't run on cloud. They run on AWS, but they don't they run it like they their own claim. They have very fixed I p addresses fixed instance names, but they're on it like a cloud. Sometimes I would say they are more coordinated behavior than some applications that run on kubernetes like they treat everything as disposable. When something goes away, they don't try to recover it or anything destroyed out. Replace it with something new, which is property off cloud native behavior. And on the other hand, a company like nozzle because they're they're actually a startup on dhe. It is surprising that why would the start of one to use? Ah, something that is Mento scale. Massively. That's when we realized that the cloud native nature of it does fills a gap that currently is not filled by many people, which is I want to run everything in Cooper natives all in one. And we didn't realize until they showed us what they did with it, which is, like, completely migrate from one cloud to another. They're a super amazing. And I heard it on dhe. They did that without even telling me are telling anybody in the community because one day I talked to them. They say they are on a key s on. A few days later, I still assumed that they are Nikki s and they know of your booty. Jakey, when did you do this? Oh, we did that last month because we got some really good deal with them, super exciting, >>and that that is a surprising, exactly affected. That's surprising. It is a bit of a concern to me because we hear a lot of talk about multi cloud and the idea of applications being being mobile between different clouds. Data movement is really hot. Exactly. So the fact that someone has actually managed to do that and haven't moved from one community service across to another one is that we find that remarkable because we know it's such a hard problem. But that's one of the great things I think about kubernetes, which is possibly under appreciated, is that it's not that it makes everything easy, but it makes what What used to be hard is now >>possible. Yes, yes, yes, that is very true. Yeah, it's, um uh, like it took It took us a while to, uh, think to make this mind shit, because some of these things, even though they're like it looks, looks looks very obvious. But for the longest time, we were, you're saying, tested for massive scale ability. It's for It's what this and that and even two years ago, up sport came and said, We're going to use the tests for communities orchestration. Weird, but okay, feel free. We don't have a problem with it. And then nozzle came out, and now suddenly you see Oh, this is this is why. And this Saul's really, really difficult problem on. They all did especially hot Spot. Did a lot of work in with tests to actually make it easier. But now we see Now we see the light. >>So Sougou Planet scales the company. Help us understand Vitesse planet scale. How that fits together. What's kind of the business model for your company? >>Yeah. So, um uh, so the test was originally developed at YouTube by you, too. There was one thing That was some pressure. We were beginning to feel when we developed it. We didn't mean for anybody to use it. Really. It was open source, more for academic reasons to show that we can do these things on. But it was interesting when people started adopting it. You're adopting this system. Okay, so we'll see what we can do to help you. But after a while, when the community started growing, some of them were contributing. But definitely storage is a difficult software to write, too. It's not like a pitiful software. Any anybody can understand the cord and start writing. It was obvious that the number of people wanting to use with death and wanting peaches from it are also people that we're not really capable of. writing those features because they're really hard features, too. Right on DDE. That pressure was going and they were saying all I wish you two could do this for me. You know, YouTube is a video company. They're not in the We just did this for ourselves. There's no reason for us to spend so many person years they've left in the future for you. And that time it became obvious that we need to start a company to support this community where there's this huge growing demand, Which is kind of what motivated towards us, uh, thinking about starting planet scale and one requirement waas It cannot remain a YouTube project at that point. So which is why we work it out that way, will actually move it to see NCF. And then I ended up leaving. You do have to start planet scale with my co founder. Then >>so is just from a business standpoint, is that service is on their customers ask for things and fun that that that gets contributed upskirt stream. >>So that was initially what we thought we will do. Initially we thought it was just get out laptops and start helping people that that was our initial thinking. But what we realized was at the same time the industry has shifted towards this new business model which is to actually run everything as a service. And we realized, Oh, my God, years All we have to do is we know how to run with us. You've done it at YouTube. You help people deployed with testing various companies. You know exactly what it takes to run with us. All we have to do is take this. I'm does the service. And that's exactly what people want. Because otherwise, because of the fact that we tested this flexible, it is also extremely complex, too confident because it can run on frame. Then you have to sit all these flags. You runnin carbonate is you said all these flags. So all this has to be managed and we realized, OK, we can manage this and we know exactly how to make it work. And we actually just announced two days ago that our planet scale CNDP Cloud native database is available for people to come in use. >>Well, congratulations on the progress of the business as well as the test graduation and thank you. So much for joining us here on the Cube. Thank you. Alright for Justin Warren. I'm stupid Men. We will be back with more of our day. Two of three days. Whoa! Wall coverage here from San Diego. Thank you for watching the Cube.

>>from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation. >>Hey, welcome back already, Jeffrey. Here with the cue, we're in our pal Amato Studios for acute conversation or excited, have ah, many Time Cube alone. I has been at all types of companies. He's moving around. We like to keep him close because he's got a great feel for what's going on. And now he's starting a new adventure. Eso really happy to welcome Alan Cohen back to the studio. Only great to see you. >>Hey, Draft, how are you >>in your new adventure? Let's get it right. It's the D C v c your partner. So this is ah, on the venture side. I'm gonna dark. You've gone to the dark side of the money side That is not a new firm, dark side. You know what's special about this town of money adventure right now, but you guys kind of have a special thesis. So tell us about yeah, and I think you've spoken >>to Matt and Zack. You know my partners in the past, So D. C. V. C is been in the venture business for about a decade and, um, you know, the 1st 5 years, the fund was very much focused on building, ah, lot of the infrastructure that we kind of take for granted. No things have gone into V m wear and into Citrix, and it's AWS, and hence the data collect of the D. C out of D. C. V. C. Really, the focus of the firm in the last five years and going forward is an area we call deep tech, which think about more about the intersection of science and engineering so less about. How do you improve the IittIe infrastructure? But how do you take all this computational power and put it to work in in specific industries, whether it's addressing supply chains, new forms of manufacturing, new forms of agriculture. So we're starting to see all that all the stuff that we've built our last 20 years and really apply it against kind of industrial transformation. So and we're excited. We just raise the $725 million fund. So we I got a little bit of ammunition to work with, >>Congratulate says, It's fun. Five. That's your eighth fund. Yeah, and really, it's consistent with where we're seeing all the time about applied a I and applied machine. Exactly. Right in New York, a company that's gonna build a I itt s'more the where you applying a i within an application, Where you applying machine, learning within what you do. And then you can just see the applications grow exactly right. Or are you targeting specific companies that are attacking a particular industrial focus and just using a eyes, their secret sauce or using deep taxes or secret uh, all of the above? Right. So, like I >>did when I think about D c v c like it's like so don't think about, um, I ops or throughput Orban with think about, um uh, rockets, robots, microbes, building blocks of effectively of human life and and of materials and then playing computational power and a I against those areas. So a little bit, you know, different focus. So, you know, it's the intersection of compute really smart computer science, but I'll give you a great example of something. It would be a little bit different. So we are investors and very active in a company called Pivot Bio, which is not exactly a household name. Pivot bio is a company that is replacing chemical fertilizer with microbes. And what I mean by that is they create microbes they used. So they've used all this big data and a I and computational power to construct microbes that when you plant corn, you insert the microbe into the planting cycle and it continuously produces nitrogen, which means you don't have to apply fertilizer. Right? Which fertilizer? Today in the U. S. A. $212 billion industry and two things happen. One you don't have. All of the runoff doesn't leech into the ground. The nitrous does. Nitrogen doesn't go into the air, and the crop yield has been a being been between about 12 and 15% higher. Right? >>Is it getting put? You know, the food industry is such a great place, and there's so many opportunities, both in food production. This is like beyond a chemical fertilizer instead of me. But it's great, but it's funny because you think of GMO, right? So all food is genetically modified. It's just It took a long time in the past because you had to get trees together, and yet you replant the pretty apples and throw the old apple trees away. Because if you look at an apple today versus an apple 50 years, 100 years, right, very, very different. And yet when we apply a man made kind of acceleration of that process than people, you know, kind of pushed back Well, this is this is not this is not nature, So I'm just curious in, in, in in, Well, this is like a microbe, you know? You know, they actually it is nature, right? So nature. But there'll be some crazy persons that wait, This is not, you know, you're introducing some foreign element into Well, you could take >>potash and pour it on corn. Or you could create a use, a microbe that creates nitrogen. So which one is the chemical on which one is nature, >>right, That that's why they get out. It's a funny part of that conversation, but but it's a different area. So >>you guys look, you guys spent a lot of time on the road. You talked a lot of startups. You talked a lot of companies. You actually talked to venture capitalists and most of the time where you know, we're working on the $4 trillion I t sector, not an insignificant sector, right? So that's globally. It's that's about the size of the economy. You know, manufacturing, agriculture and health care is more like 20 to $40 billion of the economy. So what we've also done is open the aperture to areas that have not gone through the technical disruption that we've seen an I t. Right now in these industries. And that's what's that mean? That's why I joined the firm. That's why I'm really excited, because on one hand you're right. There is a lot of cab you mentioned we were talking before. There is a lot of capital in venture, but there's not a CZ much targeted at the's area. So you have a larger part of global economy and then a much more of specific focus on it. >>Yeah, I think it's It's such a you know, it's kind of the future's here kind of the concept because no one knows, you know, the rate of which tech is advancing across all industries currently. And so that's where you wake up one day and you're like, Oh, my goodness, you know, look at the impacts on transportation. Look at the impacts on construction of the impacts on health care. Look at the impacts on on agriculture. So the opportunity is fantastic and still following the basic ideas of democratizing data. Not using a sample of old data but using, you know, real time analytics on hold data sets. You know, all these kind of concepts that come over really, really well to a more commercial application in a nightie application. Yeah. So, Jeff, I'm kind of like >>looking over your shoulder. And I'm looking at Tom Friedman's book The world is flat. And you know, if we think about all of us have been kind of working on the Internet for the last 20 years, we've done some amazing things like we've democratized information, right? Google's fairly powerful part of our lives. We've been able to allow people to buy things from all over the world and ship it. So we've done a lot of amazing things in the economy, but it hasn't been free. So if I need a 2032 c r. 20 to 32 battery for my key fob for my phone, and I buy it from Amazon and it comes in a big box. Well, there's a little bit of a carbon footprint issue that goes with that. So one of our key focus is in D. C V. C, which I think is very unique, is we think two things can happen is that weaken deal with some of the excess is over the economy that we built and as well as you know, unlock really large profit pulls. At the end of the day, you know, it has the word Venture Patrol says the word capital, right? And so we have limited partners. They expect returns. We're doing this obviously, to build large franchises. So this is not like this kind of political social thing is that we have large parts of the economy. They were not sustainable. And I'll give you some examples. Actually, you know, Jeff Bezos put out a pledge last week to try to figure out how to turn Amazon carbon neutral. >>Pretty amazing thing >>right with you from the was the richest person Now that half this richest person in the world, right? But somebody who has completely transformed the consumer economy as well as computing a comedy >>and soon transportation, right? So people like us are saying, Hey, >>how can we help Jeff meet his pledge? Right? And like, you know, there are things that we work on, like, you know, next generation of nuclear plants. Like, you know, we need renewables. We need solar, but there's no way to replace electricity. The men electricity, we're gonna need to run our economy and move off of coal and natural gas, Right? So, you know, being able to deal with the climate impacts, the social impacts are going to be actually some of the largest economic opportunities. But you can look at it and say, Hey, this is a terrible problem. It's ripping people across. I got caught in a traffic jam in San Francisco yesterday upon the top of the hill because there was climate protest, right? And you know, so I'm not kind of judging the politics of that. We could have a long conversation about that. The question is, how do you deal with these real issues, right and obviously and heady deal with them profitably and ethically, and I think that something is very unique about you know, D. C. V. C's focus and the ability to raise probably the largest deep tech fund ever to go after. It means that you know, a lot of people who back us also see the economic opportunity. And at the end of day there, you know, a lot of our our limited partners, our pension funds, you know, in universities, like, you know, there was a professor who has a pension fund who's gotta retire, right? So a little bit of that money goes into D C V C. So we have a responsibility to provide a return to them as well as go after these very interesting opportunities. >>So is there any very specific kind of investment thesis or industry focus Or, you know, kind of a subset within, you know, heavy lifting technology and science and math. That's a real loaded question in front of that little. So we like problems >>that can be solved through massive computational capability. And so and that reflects our heritage and where we all came from, right, you and I, and folks in the industry. So, you know, we're not working at the intersection of lab science at at a university, but we would take something like that and invest in it. So we like you know we have a lot of lessons in agriculture and health care were, surprisingly, one of the largest investors in space. We have investments and rocket labs, which is the preferred launch vehicle for any small satellite under two and 1/2 kilograms. We are large investors and planet labs, which is a constellation of 200 small satellites over investors and compel a space. So, uh, well, you know, we like space, and, you know, it's not space for the sake of space. It's like it's about geospatial intelligence, right? So Planet Labs is effectively the search engine for the planet Earth, right? They've been effectively Google for the planet, right? Right. And all that information could be fed to deal with housing with transportation with climate change. Um, it could be used with economic activity with shipping. So, you know, we like those kinds of areas where that technology can really impact and in the street so and so we're not limited. But, you know, we also have a bio fund, so we have, you know, we're like, you know, we like agriculture and said It's a synthetic biology types of investments and, you know, we've still invest in things like cyber we invest in physical security were investors and evolve, which is the lead system for dealing with active shooters and venues. Israel's Fordham, which is a drone security company. So, um, but they're all built on a Iot and massive >>mess. Educational power. I'm just curious. Have you private investment it if I'm tree of a point of view because you got a point of view. Most everything on the way. Just hear all this little buzz about Quantum. Um, you know, a censure opened up their new innovation hub in the Salesforce tower of San Francisco, and they've got this little dedicated kind of quantum computer quanta computer space. And regardless of how close it is, you know there's some really interesting computational opportunities last challenges that we think will come with some period of time so we don't want them in encryption and leather. We have lost their quantum >>investments were in literally investors and Righetti computing. Okay, on control, cue down in Australia, so no, we like quantum. Now, Quantum is a emerging area like it's we're not quite at the X 86 level of quantum. We have a little bit of work to get there, but it offers some amazing, you know, capabilities. >>One thing >>that also I think differentiates us. And I was listening to What you're saying is we're not afraid. The gold long, I mean a lot of our investments. They're gonna be between seven and 15 years, and I think that's also it's very different if you follow the basic economics adventure. Most funds are expected to be about 10 years old, right? And in the 1st 3 or four years, you do the bulk of the preliminary investing, and then you have reserves traditional, you know, you know, the big winners emerged that you can continue to support the companies, some of ours, they're going to go longer because of what we do. And I think that's something very special. I'm not. Look, we'd like to return in life of the fun. Of course, I mean, that's our do share a responsibility. But I think things like Quantum some of these things in the environment. They're going to take a while, and our limited partners want to be in that long ride. Now we have a thesis that they will actually be bigger economic opportunities. They'll take longer. So by having a dedicated team dedicated focus in those areas, um, that gives us, I think, a unique advantage, one of one of things when we were launching the fund that we realized is way have more people that have published scientific papers and started companies than NBA's, um, in the firm. So we are a little bit, you know, we're a little G here. That >>that's good. I said a party one time when I was talking to this guy. You were not the best people at parties we don't, but it is funny. The guy was He was a VC in medical medical tech, and I didn't ask him like So. Are you like a doctor? Did you work in a hospital where you worked at A at a university that doesn't even know I was investment banker on Wall Street and Michael, that's that's how to make money move. But do you have? Do you have the real world experience of being in the trenches? Were Some of these applications are being used, but I'm also curious. Where do you guys like to come in? ABC? What's your well, sweets? Traditionally >>we are have been a seed in Siri's. A investor would like to be early. >>Okay, Leader, follow on. Uh, everybody likes the lead, right? Right, right, right. You know what? Your term feet, you >>know? Yeah, right. And you have to learn howto something lead. Sometimes you follow. So we you know, we do both. Okay, Uh, there are increasing as because of the size of the fund. We will have the opportunity to be a little bit more multi stage than we traditionally are known for doings. Like, for example, we were seed investors in little companies, like conflict an elastic that worked out. Okay, But we were not. Later stage right. Investors and company likes companies like that with the new fund will more likely to also be in the later stages as well for some of the big banks. But we love seed we love. Precede. We'd like three guys in in a dog, right? If they have a brilliant >>tough the 7 50 to work when you're investing in the three guys in a dog and listen well and that runs and runs and you know you >>we do things we call experiments. Just you know, uh, we >>also have >>a very unique asset. We don't talk about publicly. We have a lot of really brilliant people around the firm that we call equity partners. So there's about 60 leaning scientists and executives around the world who were also attached to the firm. They actually are, have a financial stake in the firm who work with us. That gives us the ability to be early Now. Clearly, if you put in a $250,000 seed investment you don't put is the same amount of time necessarily as if you just wrote a $12 million check. What? That's the traditional wisdom I found. We actually work. Address this hard on. >>Do you have any? Do you have any formal relationships within the academic institutions? How's that >>work? Well, well, I mean, we work like everybody else with Stanford in M I t. I mean, we have many universities who are limited partners in the fund. You know, I'll give you an example of So we helped put together a company in Canada called Element A I, which actually just raised $150 million they, the founder of that company is Ah, cofounder is a fellow named Joshua Benji. Oh, he was Jeff Hinton's phD student. Him in the Vatican. These guys invented neural networks ing an a I and this company was built at a Yasha his position at the University of Montreal. There, 125 PhDs and a I that work at this firm. And so we're obviously deeply involved. Now, the Montreal A icing, my child is one of the best day I scenes in the world and cool food didn't and oh, yeah, And well, because of you, Joshua, because everybody came out of his leg, right? So I think, Yes, I think so. You know, we've worked with Carnegie Mellon, so we do work with a lot of universities. I would, I would say his university's worked with multiple venture firm Ah, >>such an important pipeline for really smart, heavy duty, totally math and tech tech guys. All right, May, that's for sure. Yeah, you always one that you never want to be the smartest guy in the room, right, or you're in the wrong room is what they say you said is probably >>an equivalent adventure. They always say you should buy the smallest house in the best neighborhood. Exactly. I was able to squeeze its PCB sees. I'm like, the least smart technical guy in the smartest technical. There >>you go. That's the way to go. All right, Alan. Well, thanks for stopping by and we look forward. Thio, you bring in some of these exciting new investment companies inside the key, right? Thanks for the time. Alright. He's Alan. I'm Jeff. You're watching the Cube. We're Interpol about the studios. Thanks for watching. We'll see you next time.

>> from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation. >> Welcome to this Cube conversation here in Palo Alto, California. At the Cube Studios. I'm John for a host of the Cube. We're here for a company profile coming called De Monte. Here. Tom Barton, CEO. As V M World approaches a lot of stuff is going to be talked about kubernetes applications. Micro Service's will be the top conversation, Certainly in the underlying infrastructure to power that Tom Barton is the CEO of De Monte, which is in that business. Tom, we've known each other for a few years. You've done a lot of great successful ventures. Thehe Monty's new one. Your got on your plate here right now? >> Yes, sir. And I'm happy to be here, so I've been with the Amante GIs for about a year or so. Um, I found out about the company through a head turner. Andi, I have to admit I had not heard of the company before. Um, but I was a huge believer in containers and kubernetes. So has already sold on that. And so I had a friend of mine. His name is Brian Walden. He had done some massive kubernetes cloud based deployments for us at Planet Labs, a company that I was out for a little over three years. So I had him do technical due diligence. Brian was also the number three guy, a core OS, um, and so deeply steeped in all of the core technologies around kubernetes, including things like that CD and other elements of the technology. So he looked at it, came back and gave me two thumbs up. Um, he liked it so much that I then hired him. So he is now our VP of product management. And the the cool thing about the Amanti is essentially were a purpose built solution for running container based workloads in kubernetes on premises and then hooking that in with the cloud. So we believe that's very much gonna be a hybrid cloud world where for the major corporations that we serve Fortune 500 companies like banks like energy and utilities and so forth Ah, lot of their workload will maintain and be maintained on premises. They still want to be cloud compatible. So you need a purpose built platform to sort of manage both environments >> Yeah, we certainly you guys have compelling on radar, but I was really curious to see when you came in and took over at the helm of the CEO. Because your entrepreneurial career really has been unique. You're unique. Executive. Both lost their lands. And as an operator you have an open source and software background. And also you have to come very successful companies and exits there as well as in the hardware side with trackable you took. That company went public. So you got me. It's a unique and open source software, open source and large hardware. Large data center departments at scale, which is essentially the hybrid cloud market right now. So you kind of got the unique. You have seen the view from all the different sides, and I think now more than ever, with Public Cloud certainly being validated. Everyone knows Amazon of your greenfield. You started the cloud, but the reality is hybrid. Cloud is the operating model of the genesis. Next generation of companies drive for the next 20 to 30 years, and this is the biggest conversation. The most important story in tech. You're in the middle of it with a hot start up with a name that probably no one's ever heard of, >> right? We hope to change that. >> Wassily. Why did you join this company? What got your attention? What was the key thing once you dug in there? What was the secret sauce was what Got your attention? Yes. So to >> me again, the market environment. I'm a huge believer that if you look at the history of the last 15 years, we went from an environment that was 0% virtualized too. 95% virtualized with, you know, Vienna based technologies from VM Wear and others. I think that fundamentally, containers in kubernetes are equally as important. They're going to be equally as transformative going forward and how people manage their workloads both on premises and in the clouds. Right? And the fact that all three public cloud providers have anointed kubernetes as the way of the future and the doctor image format and run time as the wave of the future means, you know, good things were gonna happen there. What I thought was unique about the company was for the first time, you know, surprisingly, none of the exit is sick. Senders, um, in companies like Nutanix that have hyper converse solutions. They really didn't have anything that was purpose built for native container support. And so the founders all came from Cisco UCS. They had a lot of familiarity with the underpinnings of hyper converged architectures in the X 86 server landscape and networking, subsistence and storage subsystems. But they wanted to build it using the latest technologies, things like envy and me based Flash. Um, and they wanted to do it with a software stack that was native containers in Kubernetes. And today we support two flavors of that one that's fully open source around upstream kubernetes in another that supports our partner Red hat with open shift. >> I think you're really onto something pretty big here because one of things that day Volonte and Mine's too many men and our team had been looking at is we're calling a cloud to point over the lack of a better word kind of riff on the Web to point out concept. But cloud one daughter was Amazon. Okay, Dev ops agile, Great. Check the box. They move on with life. It's always a great resource, is never gonna stop. But cloud 2.0, is about networking. It's about securities but data. And if you look at all the innovation startups, we'll have one characteristic. They're all playing in this hyper converged hardware meat software stack with data and agility, kind of to make the original Dev ops monocle better. The one daughter which was storage and compute, which were virtualization planes. So So you're seeing that pattern and it's wide ranging at security is data everything else So So that's kind of what we call the Cloud two point game. So if you look at V m World, you look at what's going on the conversations around micro service red. It's an application centric conversation in an infrastructure show. So do you see that same vision? And if so, how do you guys see you enabling the customer at this saying, Hey, you know what? I have all this legacy. I got full scale data centers. I need to go full scale cloud and I need zero and disruption to my developer. Yeah, so >> this is the beauty of containers and kubernetes, which is they know it'll run on the premises they know will run in the cloud, right? Um and it's it is all about micro service is so whether they're trying to adopt them on our database, something like manga TB or Maria de B or Crunchy Post Grey's, whether it's on the operational side to enable sort of more frequent and incremental change, or whether it's on a developer side to take advantage of new ways of developing and delivering APS with C I. C. D. Tools and so forth. It's pretty much what people want to do because it's future proofing your software development effort, right? So there's sort of two streams of demand. One is re factoring legacy applications that are insufficiently kind of granule, arised on, behave and fail in a monolithic way. Um, as well as trying to adopt modern, modern, cloud based native, you know, solutions for things like databases, right? And so that the good news is that customers don't have to re factor everything. There are logical break points in their applications stack where they can say, Okay, maybe I don't have the time and energy and resource is too totally re factor a legacy consumer banking application. But at least I can re factor the data based here and serve up you know container in Kubernetes based service is, as Micro Service's database is, a service to be consumed by. >> They don't need to show the old to bring in the new right. It's used containers in our orchestration, Layla Kubernetes, and still be positioned for whether it's service measures or other things. Floor That piece of the shirt and everything else could run, as is >> right, and there are multiple deployments scenarios. Four containers. You can run containers, bare metal. Most of our customers choose to do that. You can also run containers on top of virtual machines, and you can actually run virtual machines on top of containers. So one of our major media customers actually run Splunk on top of K B M on top of containers. So there's a lot of different deployment scenarios. And really, a lot of the genius of our architecture was to make it easy for people that are coming from traditional virtualized environments to remap system. Resource is from the bm toe to a container at a native level or through Vienna. >> You mentioned the history lesson there around virtualization. How 15 years ago there was no virtualization now, but everything's virtualized we agree with you that containers and compares what is gonna change that game for the next 15 years? But what's it about VM? Where would made them successful was they could add virtualization without requiring code modification, right? And they did it kind of under the covers. And that's a concern Customs have. I have developers out there. They're building stacks. The building code. I got preexisting legacy. They don't really want to change their code, right? Do you guys fit into that narrative? >> We d'oh, right, So every customer makes their own choice about something like that. At the end of the day, I mentioned Splunk. So at the time that we supported this media customer on Splunk, Splunk had not yet provided a container based version for their application. Now they do have that, but at the time they supported K B M, but not native containers and so unmodified Splunk unmodified application. We took them from a batch job that ran for 23 hours down the one hour based on accelerating and on our perfect converged appliance and running unmodified code on unmodified K B m on our gear. Right, So some customers will choose to do that. But there are also other customers, particularly at scale for transaction the intensive applications like databases and messaging and analytics, where they say, You know, we could we could preserve our legacy virtualized infrastructure. But let's try it as a pair a metal container approach. And they they discovered that there's actually some savings from both a business standpoint and a technology tax standpoint or an overhead standpoint. And so, as I mentioned most of our customers, actually really. Deficiencies >> in the match is a great example sticking to the product technology differentiate. What's the big secret sauce describe the product? Why are you winning in accounts? What's the lift in your business right now? You guys were getting some traction from what I'm hearing. Yeah, >> sure. So look at the at the highest level of value Proposition is simplicity. There is no other purpose built, you know, complete hardware software stack that delivers coup bernetti coproduction kubernetes environment up and running in 15 minutes. Right. The X 86 server guys don't really have it. Nutanix doesn't really have it. The software companies that are active in this space don't really have it. So everything that you need that? The hardware platform, the storage infrastructure, the actual distribution of the operating system sent the West, for example. We distribute we actually distributed kubernetes distribution upstream and unmodified. And then, very importantly, in the combinations landscape, you have to have a storage subsystem in a networking subsystem using something called C s I container storage interface in C N I. Container networking interface. So we've got that full stack solution. No one else has that. The second thing is the performance. So we do a certain amount of hardware offload. Um, and I would say, Amazons purchase of Annapurna so Amazon about a company called Annapurna its basis of their nitro technology and its little known. But the reality is more than 50% of all new instances at E. C to our hardware assisted with the technology that they thought were offloaded. Yeah, exactly. So we actually offload storage and network processing via to P C I. D cards that can go into any industry server. Right? So today we ship on until whites, >> your hyper converge containers >> were African verge containers. Yeah, exactly. >> So you're selling a box. We sell a box with software that's the >> with software. But increasingly, our customers are asking us to unbundle it. So not dissimilar from the sort of journey that Nutanix went through. If a customer wants to buy and l will support Del customer wants to buy a Lenovo will support Lenovo and we'll just sell >> it. Or have you unbundled? Yetta, you're on bundling. >> We are actively taking orders for on bundling at the present time in this quarter, we have validated Del and Lenovo as alternate platforms, toothy intel >> and subscription revenue. On that, we >> do not yet. But that's the golden mask >> Titanic struggle with. So, yeah, and then they had to take their medicine. >> They did. But, you know, they had to do that as a public company. We're still a private company, so we can do that outside the limelight of the public >> markets. So, um, I'm expecting that you guys gonna get pretty much, um I won't say picked off, but certainly I think your doors are gonna be knocked on by the big guys. Certainly. Delic Deli and see, for instance, I think it's dirty. And you said yes. You're doing business with del name. See, >> um, we are doing as a channel partner and as an OM partner with them at the present time there, I wouldn't call them a customer. >> How do you look at V M were actually there in the V M, where business impact Gelsinger's on the record. It'll be on the Cube, he said. You know Cu Bernays the dial tone of the Internet, they're investing their doubling down on it. They bought Hep D O for half a billion dollars. They're big and cloud native. We expect to see a V M World tons of cloud Native conversation. Yes, good, bad for you. What's the take? The way >> legitimizes what we're doing right? And so obviously, VM, where is a large and successful company? That kind of, you know, legacy and presence in the data center isn't gonna go anywhere overnight. There's a huge set of tooling an infrastructure that bm where has developed in offers to their customers. But that said, I think they've recognized in their acquisition of Hep Theo is is indicative of the fact that they know that the world's moving this way. I think that at the end of the day, it's gonna be up to the customer right. The customer is going to say, Do I want to run containers inside? Of'em? Do I want to run on bare metal? Um, but importantly, I think because of, you know, the impact of the cloud providers in particular. If you think of the lingua franca of cloud Native, it's gonna be around Dr Image format. It's gonna be around kubernetes. It's not necessarily gonna be around V M, d K and BMX and E s X right. So these are all very good technologies, but I think increasingly, you know, the open standard and open source community >> people kubernetes on switches directly is no. No need, Right. Have anything else there? So I gotta ask you on the customer equation. You mentioned you, you get so you're taking orders. How you guys doing business today? Where you guys winning, given example of of why people while you're winning And then for anyone watching, how would they know if they should be a customer of yours? What's is there like? Is there any smoke signs and signals? Inside the enterprise? They mentioned batch to one hour. That's just music. Just a lot of financial service is used, for instance, you know they have timetables, and whether they're pulling back ups back are doing all the kinds of things. Timing's critical. What's the profile customer? Why would someone call you? What's the situation? The >> profile is heavy duty production requirements to run in both the developer context and an operating contact container in kubernetes based workloads on premises. They're compatible with the cloud right so increasingly are controlled. Plane makes it easy to manage workloads not just on premises but also back and forth to the public cloud. So I would argue that essentially all Fortune 500 companies Global 1000 companies are all wrestling with what's the right way to implement industry standard X 86 based hardware on site that supports containers and kubernetes in his cloud compatible Right? So that that is the number one question then, >> so I can buy a box and or software put it on my data center. Yes, and then have that operate with Amazon? Absolutely. Or Google, >> which is the beauty of the kubernetes standards, right? As long as you are kubernetes certified, which we are, you can develop and run any workload on our gear on the cloud on anyone else that's carbonated certified, etcetera. So you know that there isn't >> given example the workload that would be indicative. >> So Well, I'll cite one customer, Right. So, um, the reason that I feel confident actually saying the name is that they actually sort of went public with us at the recent Gardner conference a week or so ago when the customer is Duke Energy. So very typical trajectory of journey for a customer like this, which is? A couple years ago, they decided that they wanted re factor some legacy applications to make them more resilient to things like hurricanes and weather events and spikes in demand that are associated with that. And so they said, What's the right thing to do? And immediately they pick containers and kubernetes. And then he went out and they looked at five different vendors, and we were the only vendor that got their POC up and running in the required time frame and hit all five use case scenarios that they wanted to do right. So they ended up a re factoring core applications for how they manage power outages using containers and kubernetes, >> a real production were real. Production were developing standout, absolutely in a sandbox, pushing into production, working Absolutely. So you sounds like you guys were positioned to handle any workload. >> We can handle any workload, but I would say that where we shine is things that transaction the intensive because we have the hardware assist in the I o off load for the storage and the networking. You know, the most demanding applications, things like databases, things like analytics, things like messaging, Kafka and so forth are where we're really gonna >> large flow data, absolutely transactional data. >> We have customers that are doing simpler things like C I. C D. Which at the end of the day involves compiling things right and in managing code bases. But so we certainly have customers in less performance intensive applications, but where nobody can really touch us in morning. What I mean is literally sort of 10 to 30 times faster than something that Nutanix could do, for example, is just So >> you're saying you're 30 times faster Nutanix >> absolutely in trans actually intensive applications >> just when you sell a prescription not to dig into this small little bit. But does the customer get the hardware assist on that as well >> it is. To date, we've always bundled everything together. So the customers have automatically got in the heart >> of the finest on the hard on box. Yes. If I buy the software, I got a loaded on a machine. That's right. But that machine Give me the hardware. >> You will not unless you have R two p C I. D. Cards. Right? And so this is how you know we're just in the very early stages of negotiating with companies like Dell to make it easy for them to integrate her to P. C. I. D cards into their server platform. >> So the preferred flagship is the is the device. It's a think if they want the hardware sit, that they still need to software meeting at that intensive. It's right. If they don't need to have 30 times faster than Nutanix, they can just get the software >> right, right. And that will involve RCS. I plug in RCN I plug in our OS distribution are kubernetes distribution, and the control plane that manages kubernetes clusters >> has been great to get the feature on new company, um, give a quick plug for the company. What's your objectives? Were you trying to do. I'll see. Probably hiring. Get some financing, Any news, Any kind of Yeah, we share >> will be. And we will be announcing some news about financing. I'm not prepared to announce that today, but we're in very good shape with respected being funded for our growth. Um, and consequently, so we're now in growth mode. So today we're 55 people. I want to double back over the course of the next 4/4 and increasingly just sort of build out our sales force. Right? We didn't have a big enough sales force in North America. We've gotta establish a beachhead in India. We do have one large commercial banking customer in Europe right now. Um, we also have a large automotive manufacturer in a pack. But, um, you know, the total sales and marketing reach has been too low. And so a huge focus of what I'm doing now is building out our go to market model and, um, sort of 10 Xing the >> standing up, a lot of field going, going to market. How about on the biz, Dev side? I might imagine that you mentioned delicate. Imagine that there's a a large appetite for the hardware offload >> absolution? Absolutely. So something is. Deb boils down to striking partnerships with the cloud providers really on two fronts, both with respect the hardware offload and assist, but also supporting their on premises strategy. So Google, for example, is announced. Antos. This is their approach to supporting, you know, on premises, kubernetes workloads and how they interact with cool cloud. Right. As you can imagine, Microsoft and Amazon also have on premises aspirations and strategies, and we want to support those as well. This goes well beyond something like Amazon Outpost, which is really a narrow use case in point solution for certain markets. So cloud provider partnerships are very important. Exit E six server vendor partnership. They're very important. And then major, I s V. So we've announced some things with red hat. We were at the Red Hat Open summit in Boston a few months ago and announced our open ship project and product. Um, that is now G a. Also working with eyes, he's like Maria de be Mondo di B Splunk and others to >> the solid texting product team. You guys are solid. You feel good on the product. I feel very good about the product. What aboutthe skeptics are out there? Just to put the hard question to use? Man, it's crowded field. How do you gonna compete? What do you chances? How do you like your chances known? That's a very crowded field. You're going to rely on your fastballs, they say. And on the speed, what's the what's What's your thinking? Well, it's unique. >> And so part of the way or approve point that I would cite There is the channel, right? So when you go to the channel and channel is afraid that you're gonna piss off Del or E M. C or Net app or Nutanix or somebody you know, then they're not gonna promote you. But our channel partners air promoting us and talking about companies like Life Boat at the distribution level. Talking about companies like CD W S H. I, um, you know, W W t these these major North American distributors and resellers have basically said, Look, we have to put you in our line car because you're unique. There is no other purpose built >> and why that, like they get more service is around that they wrap service's around it. >> They want to kill the murder where they want to. Wrap service's around it, absolutely, and they want to do migrations from legacy environments towards Micro Service's etcetera. >> Great to have you on share the company update. Just don't get personal. If you don't mind personal perspective. You've been on the hardware side. You've seen the large scale data centers from racquetball and that experience you'll spit on the software side. Open source. What's your take on the industry right now? Because you're seeing, um, I talked a lot of sea cells around the security space and, you know, they all say, Oh, multi clouds a bunch of B s because I'm not going to split my development team between four clouds. I need to have my people building software stacks for my AP eyes, and then I go to the vendors. They support my AP eyes where you can't be a supplier. Now that's on the sea suicide. But the big mega trend is there's software stacks being built inside the premise of the enterprise. Yes, that not mean they had developers before building. You know, Kobol, lapse in the old days, mainframes to client server wraps. But now you're seeing a Renaissance of developers building a stack for the domain specific applications that they need. I think that requires that they have to run on premise hyper scale like environment. What's your take on it >> might take is it's absolutely right. There is more software based innovation going on, so customers are deciding to write their own software in areas where they could differentiate right. They're not gonna do it in areas that they could get commodities solutions from a sass standpoint or from other kinds of on Prem standpoint. But increasingly they are doing software development, but they're all 99% of the time now. They're choosing doctor and containers and kubernetes as the way in which they're going to do that, because it will run either on Prem or in the Cloud. I do think that multi cloud management or a multi multi cloud is not a reality. Are our primary modality that we see our customers chooses tons of on premises? Resource is, that's gonna continue for the foreseeable future one preferred cloud provider, because it's simply too difficult to to do more than one. But at the same time they want an environment that will not allow themselves to be locked into that cloud bender. Right? So they want a potentially experiment with the second public cloud provider, or just make sure that they adhere to standards like kubernetes that are universally shared so that they can't be held hostage. But in practice, people don't. >> Or if they do have a militant side, it might be applications. Like if you're running office 3 65 right, That's Microsoft. It >> could be Yes, exactly. On one >> particular domain specific cloud, but not core cloud. Have a backup use kubernetes as the bridge. Right that you see that. Do you see that? I mean, I would agree with by the way we agreed to you on that. But the question we always ask is, we think you Bernays is gonna be that interoperability layer the way T c p I. P was with an I p Networks where you had this interoperability model. We think that there will be a future state of some point us where I could connect to Google and use that Microsoft and use Amazon. That's right together, but not >> this right. And so nobody's really doing that today, But I believe and we believe that there is, ah, a future world where a vendor neutral vendor, neutral with respect to public cloud providers, can can offer a hybrid cloud control plane that manages and brokers workloads for both production, as well as data protection and disaster recovery across any arbitrary cloud vendor that you want to use. Um, and so it's got to be an independent third party. So you know you're never going to trust Amazon to broker a workload to Google. You're never going to trust Google to broker a workload of Microsoft. So it's not gonna be one of the big three. And if you look at who could it be? It could be VM where pivotal. Now it's getting interesting. Appertaining. Cisco's got an interesting opportunity. Red hats got an interesting opportunity, but there is actually, you know, it's less than the number of companies could be counted on one hand that have the technical capability to develop hybrid cloud abstraction that that spans both on premises and all three. And >> it's super early. Had to peg the inning on this one first inning, obviously first inning really early. >> Yeah, we like our odds, though, because the disruption, the fundamental disruption here is containers and kubernetes and the interest that they're generating and the desire on the part of customers to go to micro service is so a ton of application re factoring in a ton of cloud native application development is going on. And so, you know, with that kind of disruption, you could say >> you're targeting opening application re factoring that needs to run on a cloud operating >> model on premise in public. That's correct. In a sense, dont really brings the cloud to theon premises environment, right? So, for example, we're the only company that has the concept of on premises availability zones. We have synchronous replication where you can have multiple clusters that air synchronously replicated. So if one fails the other one, you have no service disruption or loss of data, even for a state full application, right? So it's cloud like service is that we're bringing on Prem and then providing the links, you know, for both d. R and D P and production workloads to the public Cloud >> block locked Unpack with you guys. You might want to keep track of humaneness. Stateville date. It's a whole nother topic, as stateless data is easy to manage with AP Eyes and Service's wouldn't GET state. That's when it gets interesting. Com Part in the CEO. The new chief executive officer. Demonte Day How long you guys been around before you took over? >> About five years. Four years before me about been on board about a year. >> I'm looking forward to tracking your progress. We'll see ya next week and seven of'em Real Tom Barton, Sea of de Amante Here inside the Cube Hot startup. I'm John Ferrier. >> Thanks for watching.

>> Live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with too many man, You're watching The Cube Life from Del Technology. World twenty nineteen were here with about fifteen thousand other people, about four thousand Del Technologies Partners. But how? And now for the first time, we're pleased to welcome the CEO of Virtus Dream. Rory Reid Worry. It's great to have you joining student me on the Cube today. >> It is Lisa. It's a pleasure and riel honor to be on the show today. >> So this morning's Kino we were talking before we went live starts with lots of energy news announcements, partnerships, collaboration, walking, you. You're in industry veteran, which will dig into, I'm sure during the segment. >> Thirty five years. >> Thirty five years. That's >> amazing. Thirty five years is how old tells going tto be tthe when the next week. >> Thirty five years. >> That's a magic number. Congratulations. Thank you Virtus Dream. Talk to us about the integration you lead those efforts. Massive acquisition. What's going on now? What's exciting? You >> Well, I think it's kind of amazing what happened in the integration. This is the largest Tak integration in the world. Sixty seven billion dollars. Shortly after Del goes private, they're going to acquire Delhi, M. C, I, E, M, C and V M, where the huge undertaking thousands of people work on it less than ten months from the time it was announced. October of fifteen. It goes live on September seven sixteen. That's amazing, and our customers reacted and are partners in a just a kn amazing way. It's almost like it didn't happen. You know, I'm biased. I think it went really well. But look at the numbers. Look at the reaction in the marketplace. The growth, the synergy, the revenue, the kinds of impact. And then you see today at Del Adele Technology World. Michael does a keynote. He talked about the impact. Karen comes up and talks about giving back and the work that we're doing around Pathetic and printing three D and artificial intelligence based your limbs. I If you're not fired up about that, you can't get energized. And then you top that off with just a GN amazing discussion about the partnership between VM wear and Del Technologies on the Del Cloud And then the work that we're doing with Microsoft and Satya comes on stage with Michael and >> Pie. I >> mean, this is a power pack woman, and we put this company just three years ago together and look at the kind of impact its house in the industry. Amazing, just amazing. >> So worry. Yeah, I think Jeff Clarke said it well this morning. He said, If you're into technology and can't get excited by what's going on, you know, May maybe you're you know, it's kind of you know, my words. Maybe you're not in the right space. You've got a few of the interesting pieces of the Del Technologies family they talk about. You know, the massive acquisition of DMC with V M. Where Purchase dream Not such a small acquisition itself. Over a billion dollars, one point two billion dollars to billion dollars. And, you know, I remember back Bhumi wasn't out that long ago either, for you know, it was less than a billion dollars, but it was a >> ***. *** is an amazing set of technology. I know you're going tohave Chris McNab on later today. Chris and I have worked on what he called the gloomy acceleration plan the last two years. Way with that team have put in a strategy around taking advantage of just an amazing set of technology. Boo Mi's cloud integration software, I believe, is the absolute best on the planet and the work that we've done. We've doubled that business in the last eighteen months. We've added probably a billion dollars of market valuation they've reached. They add thousands of customers every quarter to that portfolio, the reach and touch and how that's going to drive the way data and applications talk in the cloud era. It's just at the beginning of the impact there. And then you look at a company like Virtus Dream. It's the leader in mission Critical application Work loads on the cloud. This is a company born on the cloud. It's based on the cloud nine years ago. It's the one hand to shake. Customers choose us with their most important applications and data because they need to know that it's gonna work and that we have the experience to Planet Tau migrated, optimize it and bring it to the cloud to cloud of fire and that were the single hand to shake. What's different about us is we have an eye *** way had the infrastructure as a service. We have a software stack with extreme software. Take time. I get fired up about Bloomie's technology Virtus Stream Extreme software. Amazing. And then on top of that, you layer on a white glove said of application and professional services. Very cool. But what was the coolest? Where some of the announcements today and how we're playing with its all of'Em went bare VM were based on, uh, Virtus Dream. And when they announced the partnership with Azure and the idea of V M wear work, clothes on Azure that's actually running will be running and running on. And we've been working with Microsoft and IBM where a virtuous string and it's and then and then you know >> when you say it's running on Virtue Stream, Is it your data centers? Is it part of the soft? Oh no, The >> data, the data centers air all Adger. It's using our software and our technology team have built that said, a technology that we've been in partnership for months with Microsoft and IBM, where to create this offering as one of the Cloud Service partners foundational. It's pretty foundation and you know it. But at the end of a think about del technology is one in the ingredient brand. Sure, that's foundational. This is a company built for the next ten years. Del Technologies. And the impact it's gonna have in the industry is just beginning. Where is it going to go? You saw it this morning in the Kino. Michael has some big, big ideas, >> so worry. A lot of times we look at things in the industry and people is like, Oh, it's binary. It's public cloud or Private Cloud. I've worked with a lot of service providers, and when you look at the world multi cloud, it's really more of an end in putting. That is together. Many of the service providers that air You know where I am seeing her del partners before you know, three or four years ago Oh my gosh, A ws and Microsoft. Well, okay. A partner a little like us off, But Amazons, the enemy. And today it's well, I have our stuff and I'm partnering and I probably have connections between them. Help us. Paint is toe where virtue stream fits into this. You know this spectrum today? >> Your stew. You're on the right point about multi cloud. We just did a press release today at a virtuous stream where we partnered with Forrester. We do, ah, whole industry study on the cloud and the future of the cloud multi cloud ninety seven percent of customers. We spoke to that force or spoke to have a multi cloud strategy for their mission. Critical applications at eighty nine percent of them plan to increase their spend on multi cloud mission critical activities. How we play in that space is that we're the trusted player we've done over eighteen hundred ASAP migration. Where an epic health care leader go talk to Novaya. They asked them how it's gone on Virtus Dreams Cloud amazing set of mission critical capability. But what we're taking is there's this infrastructure is a service in the software stack on the services that software stack is extreme. What we want to do is enable that software stack to manage data and applications in a private environment, a public environment on Prem, and it's all based on the M where so it ties directly into Jeff and Pat's announcement This morning, where they talked about Veum, where being a platform and how they're going to create the Del Cloud on that platform. Virtus Dream is one of the destinations for mission critical workload, but because it's based on VM, where technology it seamlessly begins to integrate across that and allows us to manage data and applications linking our extreme software with the BM, where capabilities that allowed that data and the AP eyes to exchange data and flow freely in a multi cloud world, ninety seven percent of the customers and the forest to research we just released are going to go multi cloud for mission critical, not just based. This's for their most critical applications data >> so future your energy is outstanding in your enthusiasm for this. What are some of the early reactions that customers air having to some of this exciting, groundbreaking news that's coming out today? What do your expectations? >> Well, you know, I spent time with customers, uh, every week and we talk about it, but I've actually talked to customers this day today about it. They found the energy, the passion that the technology that was introduced this morning was sort of game changing because to Stu's point, they are going in a multi cloud era and they know it's going to be multi cloud. And there's going to be on Prem public private. It's gonna link altogether. They need the technology trusted advisors that can work with them, not with a single answer. That only fits one way. Adele Technologies. You want to run on Prem? We have those capabilities you want to run on public count. We have those technologies you want to run in a hybrid kind of solution or a private cloud. We're going to create the ability with these announcements today, tow link it together and create the ability to do it seamlessly, efficiently, productively, cost effectively that allows Our customers too dramatically transformed their business to take them on that digital transformation to disrupt their industries and win. Because when our customers win, we win. That's what we do. Adelle Technologies, we and able our customers to win, and it's all about the customers every single day. You talked about the integration when Michael said every day when we were doing the integration, he said on every decision. When we were building the company, we basically built a new company level by level, he said. The guiding principle that every decision is customer in How does this matter of the customer? How does it make a difference for the customer? And I think we live that everyday. There's fifty fifteen thousand of our closest friends here in Las Vegas there, pretty excited to be here. And why did they take that time? Because we're one of their trusted partners on their digital transformation journey. That's not a bad place to be. If you can't get excited about that, >> Yeah, I'm Rory in the wrong industry. It was amazing to me how fast that immigration work happened. We talked to Howard Elias a bunch along the journey. I'm glad we finally get to you, get you on the record for >> Howard's in the Be's and Guy. What an awesome partner. >> And so you know, one of them's dried. It's ten months is you know, if this thing had taken twenty four months, so much of the industry would have changed by the time from when you went into when you went out. So I guess How do you how do you look at kind of those massive waves versus you know where you need to be with products today in the market and where customers are because you know the danger. You say I want to listen to the customers. Well, you get the old saying if you ask customers they wanted, you know Ah, faster buggy. You know how right you are so right, You make sure you're, you know, hitting that next wave and keeping up with it. I look at you know, all the pieces you have of the puzzle that is the family and in different places along the spectrum. >> Well, I think there's, you know, there's value in the diversity of thought, right, and we talk about on Workforce. But it's a business. The idea that Del technologies is this group of businesses and all these experiences coming together and the interactions with customers from the smallest mom and pop shops farms toe all the way to the most Jake Ganic industry. Transformational companies. You were exposed to a lot of things, and with the kind of forty, one hundred and forty thousand professionals working together and with Michael's vision and the El Tee's vision, there's an ability to see that future, and he is always looking at the future. It's interesting. I worked for a lot of interesting people, but you know, Michael's ability to Teo understand data and of you, he said. It's about having a big year, right? Your ears be twice the size of your mouth. I mean, you gotta listen. And I seriously think he must have a tree of Keebler elves creating data and information. I've never seen so much someone with more data and information. And he he listens. He values the input. He's quick to make a decision, but the team rot rallies around that idea. How can we find that future? And if we make a mistake, let's fix it fast. Let's learn really quick. Make that decision, learn quickly, adjust and capture the opportunity. And it's all about speed and what matters to the customer. I've seen it firsthand. I've been here four years. I spent twenty three years at IBM. I spent five years in Lenovo as their CEO and president. I was CEO and president of Advanced Micro Devices. It's amazing environment where you create a place where technological leaders come every day to solve the most difficult solutions with the founder of the company. That's one of the industry icons, and it's just an amazing privilege and honor to be part of it. And I think you feel that from every person you talk to, that's part of Del Technologies. I am being part of that. Integration was one of the most proudest experiences of my life, and you know what we did way never ran it as an integration office. We kept the decisions with the line with the business, and we had a rapid pays to get through it and decided, and we learned quickly and we adjusted as we went. It wasn't perfect, but it wass pretty close. It's pretty close and I'm bias. I got it. I buy just But it was good. It was good. It was really a great thing. And Howard, amazing guy. But it was because people believed in the vision and they all work together. And when people work together, you can grow, do amazing and great thing. >> You're right. It's all about the people >> it is >> or it's been such a pleasure. Having you on the cute this afternoon was to me. I wish we had more time because I know we can keep talking about it. You're gonna have to come back >> anytime. You like me. It was a pleasure. And thank you so much for taking time to speak to me when you talk to boo me this afternoon, make sure you get into that technology's world. Vast cloud integration platform >> you got. All right, guys. Thank you. Thank you. First to Minuteman. I'm Lisa Martin. You're watching the Cube live from Day one of our double sat coverage of Del technology World twenty nineteen. Thanks for watching.