Sizzle Reel | Red Hat Summit 2019
we've made just tremendous progress over the last several years with Microsoft you know started back in 2015 where we you know cross certified hypervisors and that's kind of a basic you know let's work together over the last couple years it's truly blossomed into a really good partnership where you know I think they've and we both gotten over this you know Linux vs. Windows thing and you know I said we've gotten over I think we both recognized you know we need to serve our customers in the best possible way and that clearly means is two of the largest infrastructure software providers working closely together and what's been interesting as we've gone forward we find more and more common ground about how we can better serve our customers whether that's you know what might sound mundane that's a big deal sequel server on realm and setting benchmarks around that or dotnet running on our platforms now all the way to really being able to deliver a hybrid cloud with a seamless experience with openshift from you know on premise - - to Azure and I mean having to H Bank on States twenty five thousand containers running in production moving back and forth - sure and I think it's more building on what I talked to you about a year ago if I remember last May May of 2018 in San Francisco so I was exposing very heavily look the world's going to move towards containers the world is already embraced Linux this is the time to have a new architecture that enables hybrid much along the lines that gem and all of the clients as well as Ginni and Sasha we're talking about on stage yesterday so you put all that together and you say that is what we mentioned last year and we were clear that is where the world is going to go nice step forward a few months from there into October of 2018 and on 29th of October we announced that IBM intends to acquire Red Hat so then you say wow we put actually our money where amount was we were talking about the strategy we were talking about Linux containers openshift the partnership we announced last May was IBM software products together with OpenShift that is we already believed in that but now this allows us coming together it's it's more like a marriage then sort of loose partners passing each other in the middle of the night we are so excited and you know having put in all the time part of this is representing all the work the team has done and the communities have done when you think about all the work that goes into a Linux distribution it is everybody it's the community's it's the partners so we released the Red Hat Enterprise Linux eight beta in November mid-november we've had 40,000 downloads of that beta since November people who have provided feedback and comments suggestions all of that fed into what we've released today as the Red Hat Enterprise Linux eight general availability so it's a big day and part of it is we're just so proud of how we've done it and what we've done and we've really redefined what are not the value of an operating system with Red Hat Enterprise limits eight tech transformation started about ten years ago bean CI over the company about ten years and frankly the first five years were just fixing the basics so getting in place what we'd call world-class systems doing a bunch of stuff on resilience and security and all of that kind of stuff and the other thing and this is the dramatic change you know ten years ago when I joined the company we were 85% outsource to managed service vendors so I had technology people that basically were signing contractors and managing service agreements if we didn't have technology DNA and so you know over those five years and the full ten years actually we've been to not about just in sourcing and rebuilding our technical muscle if you like so now we're we've gone from 85% outsource to 90% in sourced so we run build and manage our own we're at word now a technology company yeah and and five years ago we had a real big shift and you know we were we were closest to what was going on in China and so probably saw this before many many of the other banks saw this around the world of what Alibaba was doing with ant financial and $0.10 and this whole just just complete disruption of how customers interact with the banking industry so we got an early lead on this digital transformation and really for the last five six years would be doubling down on building a pure digital offering and we see ourselves as a technology company providing banking services not as a bank with some technology department in the backend open source is the innovation model going forward period end of story full stop and I think as I said in my keynote yesterday you know leading up to the the biggest acquisition ever for a software company not an open source software coming a software company that happened to be an open source software company I don't think there's any doubt that that open source has one here here today it and it's because of the pace of innovation yeah our goal is to make sure we're supporting those upstream communities so all of all of Red Hat software is open source and we work with a whole community of individuals and companies and the upstream open source software and we want to make sure that we're not just contributing features that we want but that we're a good player or that we're helping to make sure those communities are healthy and so for a number of the projects that were involved in we actually assigned a full-time Community Manager a community lead to help make sure that project is healthy so we have someone on everything from Saif and Gloucester to fedora to kubernetes I'm just making sure the community does well yeah we do a little bit of both and so a lot of it is responding to the community and that's one of the areas that Red Hat is really excelled as taking what's popular what's working upstream and helping moving along make it a stable product or stable solution that developers can use but we also have a certain agenda or certain platforms that we want to present so we start from like various runtimes to actually contain our platforms and so we want to have to kind of drive some of that initiatives on our own to help drive fill that need because we hear it from customers a lot it's like things are doing are great but like there's all these projects that need to come together sort as a product or unified experience and so we spend a lot of our time trying to bring those things together as a way to help developers do those different tasks and also focus across like not just the Java runtimes which we hit a lot of Java so you might have baked security in right I mean we have a secure supply chain and you talk about difficult things for la right every package that we that comes in that is we totally refresh everything from upstream but when they come in we have to inspect all the crypto we have to run them through security scans vulnerability scanners we've got three different vulnerability scanners that we're using we run them through penetration testing so there's a huge amount of work that just comes just to inherit all that from the upstream but in addition to that we've put a lot of work into making sure that well our crypto has to be Fitz certified right which means you've got to meet standards we also have work that's gone in to make sure that you can enable a security policy consistently across the system so that no application that you load on can violate your security policy we've got enough tables in their new firewalling Network bound disk encryption that actually it kind of ties in with a lot of the system management work that we've done so a thing that I think differentiates rl8 is we put a lot of focus on making it easy to use on day one and easy to manage day two well we're not getting there were there what that allows us to do is to take the reference designs that we have and the testing that we've we've previously validated with Intel and Red Hat and be able to snap pieces together so it's just a matter of what's different and unique for the client in the client situation and their growth pattern what's great about trueskill is that in this model is that we can predictably analyze or consumption forward based on the business growth so for example if you're using open shipped and you start with a small cluster for say one or two lines of business as they adopt DevOps methodologies going from either waterfall or agile we can we can predictably analyze the consumption forward that they're going to need so they can plan years in advance as they progress and as such the other snap-ins say uh storage that they're going to need for data and motion or data at rest so it's it's actually smarter and what that ends up doing is obviously saving the money but it saves some time you know typical model is going back to IT and saying we need these servers we need the storage and the software and bolt it all together and the IT guys are you know hair on fire running around already so so they can you know as long as IT approves it they can sort of bypass that that big heavy lift we're trying to do is create role models for women and girls who would like to participate in technology but perhaps are not sure that that's the way that they can go and they don't see people that are like them so they're less tendency to join into this type of communities so with the community award winner we're looking at a professional who's been contributing to open source for a period of time and with our academic winner we're looking to spur more people who are in university to think about it and of course the big idea is you'll all be looking at these women as people that will inspire you to potentially do more things with open source and more things with technology we've been hearing for many many years that we definitely need to have more gender diversity in tech in general in an open source and Red Hat is kind of uniquely situated to focus on the open source community and so with our role is the open source leader we really feel like we need to make that commitment and to be able to foster that right so so Sierra's a supercomputer and what's unique about these systems is that we're solving there's lots of systems that network together maybe are bigger a number of servers than us but we're doing scientific simulation and that kind of computing requires a level of parallelism and it's very tightly coupled so all the servers are running a piece of the problem they all have to sort of operate together if any one of them is running slow it makes the whole thing go slow so it's really this tightly coupled nature of supercomputers that make things really challenging you know we talked about performance if if one server is just running slow for some reason you know everything else is going to be affected by that so we really do care about performance and we really do care about just every little piece of the hardware you know performing as it should so we thought okay let's take all of these best practices that we have and build more or less a methodology around it how to make this actually works like how to do this we really broke it down into like individual sprints do dissin sprint one the distance sprint do to really have the results within three months six months 12 months whatever the places that you want to run on and then we realize talking to customers this by itself isn't still enough so that's why we started to open up this to an entire ecosystem so we brought ecosystem partners along like working closely with red a lot of other companies but also system integrators who can help us we speak up projects because we as a company are software companies we're not a services or consulting company and we do support customers and some of those engagement but if you think of like a really fortune 500 company that's a multi-year project it will keep hundreds of busy people busy so to recap like built-in methodology we built the ecosystem to deliver on that promise at scale and now the last step was we as we were doing this we also built like a reference architecture for it and was just in an internal IDE so how do we like structure this bill that reference architecture and then realize okay I think it's kind of like super helpful for customers so that this way we then decided to open source this reference architecture is fabric as well to like the entire software community so they can also use it so technically these three pieces it's the methodology it's the ecosystem and it's like the reference architecture that you can work with to help you achieve you [Music]
SUMMARY :
for customers so that this way we then
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Keynote | Red Hat Summit 2019 | DAY 2 Morning
>> Ladies and gentlemen, please welcome Red Hat President Products and Technologies. Paul Cormier. Boring. >> Welcome back to Boston. Welcome back. And welcome back after a great night last night of our opening with with Jim and talking to certainly saw ten Jenny and and especially our customers. It was so great last night to hear our customers in how they set their their goals and how they met their goals. All possible because certainly with a little help from red hat, but all possible because of because of open source. And, you know, sometimes we have to all due that has set goals. And I'm going to talk this morning about what we as a company and with community, have set for our goals along the way. And sometimes you have to do that. You know, audacious goals. It can really change the perception of what's even possible. And, you know, if I look back, I can't think of anything, at least in my lifetime, that's more important. Or such a big golden John F. Kennedy setting the gold to the American people to go to the moon. I believe it or not, I was really, really only three years old when he said that, honestly. But as I grew up, I remember the passion around the whole country and the energy to make that goal a reality. So let's sort of talk about in compare and contrast, a little bit of where we are technically at that time, you know, tto win and to beat and winning the space race and even get into the space race. There was some really big technical challenges along the way. I mean, believe it or not. Not that long ago. But even But back then, math Malik mathematical calculations were being shifted from from brilliant people who we trusted, and you could look in the eye to A to a computer that was programmed with the results that were mostly printed out. This this is a time where the potential of computers was just really coming on the scene and, at the time, the space race at the time of space race it. It revolved around an IBM seventy ninety, which was one of the first transistor based computers. It could perform mathematical calculations faster than even the most brilliant mathematicians. But just like today, this also came with many, many challenges And while we had the goal of in the beginning of the technique and the technology to accomplish it, we needed people so dedicated to that goal that they would risk everything. And while it may seem commonplace to us today to trust, put our trust in machines, that wasn't the case. Back in nineteen sixty nine, the seven individuals that made up the Mercury Space crew were putting their their lives in the hands of those first computers. But on Sunday, July twentieth, nineteen sixty nine, these things all came together. The goal, the technology in the team and a human being walked on the moon. You know, if this was possible fifty years ago, just think about what Khun B. Accomplished today, where technology is part of our everyday lives. And with technology advances at an ever increasing rate, it's hard to comprehend the potential that sitting right at our fingertips every single day, everything you know about computing is continuing to change. Today, let's look a bit it back. A computing In nineteen sixty nine, the IBM seventy ninety could process one hundred thousand floating point operations per second, today's Xbox one that sitting in most of your living rooms probably can process six trillion flops. That's sixty million times more powerful than the original seventy ninety that helped put a human being on the moon. And at the same time that computing was, that was drastically changed. That this computing has drastically changed. So have the boundaries of where that computing sits and where it's been where it lives. At the time of the Apollo launch, the computing power was often a single machine. Then it moved to a single data center, and over time that grew to multiple data centers. Then with cloud, it extended all the way out to data centers that you didn't even own or have control of. But but computing now reaches far beyond any data center. This is also referred to as the edge. You hear a lot about that. The Apollo's, the Apollo's version of the Edge was the guidance system, a two megahertz computer that weighed seventy pounds embedded in the capsule. Today, today the edge is right here on my wrist. This apple watch weighs just a couple of ounces, and it's ten ten thousand times more powerful than that seventy ninety back in nineteen sixty nine But even more impactful than computing advances, combined with the pervasive availability of it, are the changes and who in what controls those that similar to social changes that have happened along the way. Shifting from mathematicians to computers, we're now facing the same type of changes with regards to operational control of our computing power. In its first forms. Operational control was your team, your team within your control? In some cases, a single person managed everything. But as complexity grows, our team's expanded, just like in the just like in the computing boundaries, system integrators and public cloud providers have become an extension of our team. But at the end of the day, it's still people that are still making all the decisions going forward with the progress of things like a I and software defined everything. It's quite likely that machines will be managing machines, and in many cases that's already happening today. But while the technology at our finger tips today is so impressive, the pace of changing complexity of the problems we aspire to solve our equally hard to comprehend and they are all intertwined with one another learning from each other, growing together faster and faster. We are tackling problems today on a global scale with unsinkable complexity beyond anyone beyond what any one single company or even one single country Khun solve alone. This is why open source is so important. This is why open source is so needed today in software. This is why open sources so needed today, even in the world, to solve other types of complex problems. And this is why open source has become the dominant development model which is driving the technology direction. Today is to bring two brother to bring together the best innovation from every corner of the planet. Toe fundamentally change how we solve problems. This approach and access the innovation is what has enabled open source To tackle The challenge is big challenges, like creating the hybrid cloud like building a truly open hybrid cloud. But even today it's really difficult to bridge the gap of the innovation. It's available in all in all of our fingertips by open source development, while providing the production level capabilities that are needed to really dip, ploy this in the enterprise and solve RIA world business problems. Red Hat has been committed to open source from the very, very beginning and bringing it to solve enterprise class problems for the last seventeen plus years. But when we built that model to bring open source to the enterprise, we absolutely knew we couldn't do it halfway tow harness the innovation. We had to fully embrace the model. We made a decision very early on. Give everything back and we live by that every single day. We didn't do crazy crazy things like you hear so many do out there. All this is open corps or everything below. The line is open and everything above the line is closed. We didn't do that, and we gave everything back Everything we learned in the process of becoming an enterprise class technology company. We gave it all of that back to the community to make better and better software. This is how it works. And we've seen the results of that. We've all seen the results of that and it could only have been possible within open source development model we've been building on the foundation of open source is most successful Project Lennox in the architecture of the future hybrid and bringing them to the Enterprise. This is what made Red Hat, the company that we are today and red hats journey. But we also had the set goals, and and many of them seemed insert insurmountable at the time, the first of which was making Lennox the Enterprise standard. And while this is so accepted today, let's take a look at what it took to get there. Our first launch into the Enterprise was rail two dot one. Yes, I know we two dot one, but we knew we couldn't release a one dato product. We knew that and and we didn't. But >> we didn't want to >> allow any reason why anyone of any customer anyone shouldn't should look past rail to solve their problems as an option. Back then, we had to fight every single flavor of Unix in every single account. But we were lucky to have a few initial partners and Big Eyes v partners that supported Rehl out of the gate. But while we had the determination, we knew we also had gaps in order to deliver on our on our priorities. In the early days of rail, I remember going to ask one of our engineers for a past rehl build because we were having a customer issue on it on an older release. And then I watched in horror as he rifled through his desk through a mess of CDs and magically came up and said, I found it here It is told me not to worry that the build this was he thinks this was the bill. This was the right one, and at that point I knew that despite the promise of Lennox, we had a lot of work ahead of us. The not only convinced the world that Lennox was secure, stable, an enterprise ready, but also to make that a reality. But we did. And today this is our reality. It's all of our reality. From the Enterprise Data Center standard to the fastest computers on the planet, Red Hat Enterprise, Lennox has continually risen to the challenge and has become the core foundation that many mission critical customers run and bet their business on. And an even bigger today Lennox is the foundation of which practically every single technology initiative is built upon. Lennox is not only standard toe build on today, it's the standard for innovation that builds around it. That's the innovation that's driving the future as well. We started our story with rail two dot one, and here we are today, seventeen years later, announcing rally as we did as we did last night. It's specifically designed for applications to run across the open hybrid. Clyde Cloud. Railed has become the best operating simp system for on premise all the way out to the cloud, providing that common operating model and workload foundation on which to build hybrid applications. Let's take it. Let's take a look at how far we've come and see this in action. >> Please welcome Red Hat Global director of developer experience, burst Sutter with Josh Boyer, Timothy Kramer, Lars Carl, it's Key and Brent Midwood. All right, we have some amazing things to show you. In just a few short moments, we actually have a lot of things to show you. And actually, Tim and Brandt will be with us momentarily. They're working out a few things in the back because we have a lot of this is gonna be a live demonstration, some incredible capabilities. Now you're going to see clear innovation inside the operating system where we worked incredibly hard to make it vast cities. You're free to manage many, many machines. I want you thinking about that as we go to this process. Now, also, keep in mind that this is the basis our core platform for everything we do here. Red hat. So it is an honor for me to be able to show it to you live on stage today. And so I recognize the many of you in the audience right now. Her hand's on systems administrators, systems, architect, citizens, engineers. And we know that you're under ever growing pressure to deliver needed infrastructure. Resource is ever faster, and that is a key element to what you're thinking about every day. Well, this has been a core theme, and our design decisions find red Odd Enterprise Lennox eight and intelligent operating system, which is making it fundamentally easier for you manage machines that scale. So hold what you're about to see next. Feels like a new superpower and and that redhead azure force multiplier. So first, let me introduce you to a large. He's totally my limits guru. >> I wouldn't call myself a girl, but I I guess you could say that I want to bring Lennox and light meant to more people. >> Okay, Well, let's let's dive in. And we're not about the clinic's eight. >> Sure. Let me go. And Morgan, >> wait a >> second. There's windows. >> Yeah, way Build the weft Consul into Really? That means that for the first time, you can log in from any device including your phone or this standard windows laptop. So you just go ahead and and to my Saturday lance credentials here. >> Okay, so now >> you're putting >> your limits password and over the web. >> Yeah, that might sound a bit scary at first, but of course, we're using the latest security tech by T. L s on dh csp on. Because that's the standard Lennox off site. You can use everything that you used to like a stage keys, OTP, tokens and stuff like this. >> Okay, so now I see the council right here. I love the dashboard overview of the system, but what else can you tell us about this council? >> Right? Like right here. You see the load of the system, some some of its properties. But you can also dive into logs everything that you're used to from the command line, right? Or lookit, services. This's all the services I've running, can start and stuff them and enable >> OK, I love that feature right there. So what about if I have to add a whole new application to this environment? >> Good that you're bringing that up. We build a new future into hell called application streams. Which the way for you to install different versions of your half stack that are supported I'LL show you with Youngmin a command line. But since Windows doesn't have a proper terminal, I'll just do it in the terminal that we built into the Web console Since the browser, I can even make this a bit bigger. Go to, for example, to see the application streams that we have for Poskus. Ijust do module list and I see you know we have ten and nine dot six Both supported tennis a default on defy enable ninety six Now the next time that I installed prescribes it will pull all their lady towards from them at six. >> Ok, so this is very cool. I see two verses of post Chris right here What tennis to default. That is fantastic and the application streams making that happen. But I'm really kind of curious, right? I loved using know js and Java. So what about multiple versions of those? >> Yeah, that's exactly the idea way. Want to keep up with the fast moving ecosystems off programming language? Isn't it a business? >> Okay, now, But I have another key question. I know some people were thinking it right now. What about Python? >> Yeah. In fact, in a minimum and still like this, python gives you command. Not fact. Just have to type it correctly. You can't just install which everyone you want two or three or whichever your application needs. >> Okay, Well, that is I've been burned on that one before. Okay, so no actual. Have a confession for all you guys. Right here. You guys keep this amongst yourselves. Don't let Paul No, I'm actually not a linnet systems administrator. I'm an application developer, an application architect, And I recently had to go figure out how to extend the file system. This is for real. And I'm going to the rat knowledge base and looking up things like, you know, PV create VD, extend resized to f s. And I have to admit, that's hard, >> right? I've opened the storage space for you right here, where you see an overview of your storage. And the council has made for people like you as well not only for people that I knew that when you two lunatics, right? It's if you're running, you're running some of the commands only, you know, some of the time you don't remember them. So, for example, I haven't felt twosome here. That's a little bit too small. Let me just throw it. It's like, you know, dragging this lighter. It calls all the command in the background for you. >> Oh, that is incredible. Is that simple? Just drag and drop. That is fantastic. Well, so I actually, you know, we'll have another question for you. It looks like now this linen systems administration is no longer a dark heart involving arcane commands typed into a black terminal. Like using when those funky ergonomic keyboards you know I'm talking about right? Do >> you know a lot of people, including me and people in the audience like that dark out right? And this is not taking any of that away. It's on additional tool to bring limits to more people. >> Okay, well, that is absolute fantastic. Thank you so much for that Large. And I really love him installing everything is so much easier, including a post gra seeker and, of course, the python that we saw right there. So now I want to change gears for a second because I actually have another situation that I'm always dealing with. And that is every time I want to build a new Lenox system, not only I don't want to have to install those commands again and again, it feels like I'm doing it over and over. So, Josh, how would I create a golden image? One VM image that can use and we have everything pre baked in? >> Yeah, absolutely. But >> we get that question all the time. So really includes image builder technology. Image builder technology is actually all of our hybrid cloud operating system image tools that we use to build our own images and rolled up in a nice, easy to integrate new system. So if I come here in the web console and I go to our image builder tab, it brings us to blueprints, right? Blueprints or what we used to actually control it goes into our golden image. Uh, and I heard you and Lars talking about post present python. So I went and started typing here. So it brings us to this page, but you could go to the selected components, and you can see here I've created a blueprint that has all the python and post press packages in it. Ah, and the interesting thing about this is it build on our existing kickstart technology. But you can use it to deploy that whatever cloud you want. And it's saved so that you don't actually have to know all the various incantations from Amazon toe azure to Google, whatever it's all baked in on. When you do this, you can actually see the dependencies that get brought in as well. Okay. Should we create one life? Yes, please. All right, cool. So if we go back to the blueprints page and we click create blueprint Let's, uh let's make a developer brute blueprint here. So we click great, and you can see here on the left hand side. I've got all of my content served up by Red Hat satellite. We have a lot of great stuff, and really, But we can go ahead and search. So we'LL look for post grows and you know, it's a developer image at the client for some local testing. Um, well, come in here and at the python bits. Probably the development package. We need a compiler if we're going to actually build anything. So look for GCC here and hey, what's your favorite editor? >> A Max, Of course, >> Max. All right. Hey, Lars, about you. I'm more of a person. You Maxim v I All right, Well, if you want to prevent a holy war in your system, you can actually use satellite to filter that out. But we're going to go ahead and Adam Ball, sweetie, I'm a fight on stage. So wait, just point and click. Let the graphical one. And then when we're all done, we just commit our changes, and our image is ready to build. >> Okay, So this VM image we just created right now from that blueprint this is now I can actually go out there and easily deploys of deploy this across multiple cloud providers. And as well as this on stage are where we have right now. >> Yeah, absolutely. We can to play on Amazon as your google any any infrastructure you're looking for so you can really hit your Clyburn hybrid cloud operating system images. >> Okay. All right, listen, we >> just go on, click, create image. Uh, we can select our different types here. I'm gonna go ahead and create a local VM because it's available image, and maybe they want to pass it around or whatever, and I just need a few moments for it to build. >> Okay? So while that's taking a few moments, I know there's another key question in the minds of the audience right now, and you're probably thinking I love what I see. What Right eye right hand Priceline say. But >> what does it >> take to upgrade from seven to eight? So large can you show us and walk us through an upgrade? >> Sure, this's my little Thomas Block that I set up. It's powered by what Chris and secrets over, but it's still running on seven six. So let's upgrade that jump over to my house fee on satellite on. You see all my relate machines here, including the one I showed you what Consul on before. And there is that one with my sun block and there's a couple others. Let me select those as well. This one on that one. Just go up here. Schedule remote job. And she was really great. And hit Submit. I made it so that it makes the booms national before. So if anything was wrong Kans throwback! >> Okay, okay, so now it's progressing. Here, >> it's progressing. Looks like it's running. Doing >> live upgrade on stage. Uh, >> seems like one is failing. What's going on here? Okay, we checked the tree of great Chuck. Oh, yeah, that's the one I was playing around with Butter fest backstage. What? Detective that and you know, it doesn't run the Afghan cause we don't support operating that. >> Okay, so what I'm hearing now? So the good news is, we were protected from possible failed upgrade there, So it sounds like these upgrades are perfectly safe. Aiken, basically, you know, schedule this during a maintenance window and still get some sleep. >> Totally. That's the idea. >> Okay, fantastic. All right. So it looks like upgrades are easy and perfectly safe. And I really love what you showed us there. It's good point. Click operation right from satellite. Ok, so Well, you know, we were checking out upgrades. I want to know Josh. How those v ems coming along. >> They went really well. So you were away for so long. I got a little bored and I took some liberties. >> What do you mean? >> Well, the image Bill And, you know, I decided I'm going to go ahead and deploy here to this Intel machine on stage Esso. I have that up and running in the web. Counsel. I built another one on the arm box, which is actually pretty fast, and that's up and running on this. Our machine on that went so well that I decided to spend up some an Amazon. So I've got a few instances here running an Amazon with the web console accessible there as well. On even more of our pre bill image is up and running an azure with the web console there. So the really cool thing about this bird is that all of these images were built with image builder in a single location, controlling all the content that you want in your golden images deployed across the hybrid cloud. >> Wow, that is fantastic. And you might think that so we actually have more to show you. So thank you so much for that large. And Josh, that is fantastic. Looks like provisioning bread. Enterprise Clinic Systems ate a redhead. Enterprise Enterprise. Rhetta Enterprise Lennox. Eight Systems is Asian ever before, but >> we have >> more to talk to you about. And there's one thing that many of the operations professionals in this room right now no, that provisioning of'em is easy, but it's really day two day three, it's down the road that those viens required day to day maintenance. As a matter of fact, several you folks right now in this audience to have to manage hundreds, if not thousands, of virtual machines I recently spoke to. Gentleman has to manage thirteen hundred servers. So how do you manage those machines? A great scale. So great that they have now joined us is that it looks like they worked things out. So now I'm curious, Tim. How will we manage hundreds, if not thousands, of computers? >> Welbourne, one human managing hundreds or even thousands of'em says, No problem, because we have Ansel automation. And by leveraging Ansel's integration into satellite, not only can we spin up those V em's really quickly, like Josh was just doing, but we can also make ongoing maintenance of them really simple. Come on up here. I'm going to show you here a satellite inventory and his red hat is publishing patches. Weaken with that danceable integration easily apply those patches across our entire fleet of machines. Okay, >> that is fantastic. So he's all the machines can get updated in one fell swoop. >> He sure can. And there's one thing that I want to bring your attention to today because it's brand new. And that's cloud that red hat dot com And here, a cloud that redhead dot com You can view and manage your entire inventory no matter where it sits. Of Redhead Enterprise Lennox like on Prem on stage. Private Cloud or Public Cloud. It's true Hybrid cloud management. >> OK, but one thing. One thing. I know that in the minds of the audience right now. And if you have to manage a large number servers this it comes up again and again. What happens when you have those critical vulnerabilities that next zero day CV could be tomorrow? >> Exactly. I've actually been waiting for a while patiently for you >> to get to the really good stuff. So >> there's one more thing that I wanted to let folks know about. Red Hat Enterprise. The >> next eight and some features that we have there. Oh, >> yeah? What is that? >> So, actually, one of the key design principles of relate is working with our customers over the last twenty years to integrate all the knowledge that we've gained and turn that into insights that we can use to keep our red hat Enterprise Lennox servers running securely, inefficiently. And so what we actually have here is a few things that we could take a look at show folks what that is. >> OK, so we basically have this new feature. We're going to show people right now. And so one thing I want to make sure it's absolutely included within the redhead enterprise in that state. >> Yes. Oh, that's Ah, that's an announcement that we're making this week is that this is a brand new feature that's integrated with Red Hat Enterprise clinics, and it's available to everybody that has a red hat enterprise like subscription. So >> I believe everyone in this room right now has a rail subscriptions, so it's available to all of them. >> Absolutely, absolutely. So let's take a quick look and try this out. So we actually have. Here is a list of about six hundred rules. They're configuration security and performance rules. And this is this list is growing every single day, so customers can actually opt in to the rules that are most that are most applicable to their enterprises. So what we're actually doing here is combining the experience and knowledge that we have with the data that our customers opt into sending us. So customers have opted in and are sending us more data every single night. Then they actually have in total over the last twenty years via any other mechanism. >> Now there's I see now there's some critical findings. That's what I was talking about. But it comes to CVS and things that nature. >> Yeah, I'm betting that those air probably some of the rail seven boxes that we haven't actually upgraded quite yet. So we get back to that. What? I'd really like to show everybody here because everybody has access to this is how easy it is to opt in and enable this feature for real. Okay, let's do that real quick, so I gotta hop back over to satellite here. This is the satellite that we saw before, and I'll grab one of the hosts and we can use the new Web console feature that's part of Railly, and via single sign on I could jump right from satellite over to the Web console. So it's really, really easy. And I'LL grab a terminal here and registering with insights is really, really easy. Is one command troops, and what's happening right now is the box is going to gather some data. It's going to send it up to the cloud, and within just a minute or two, we're gonna have some results that we can look at back on the Web interface. >> I love it so it's just a single command and you're ready to register this box right now. That is super easy. Well, that's fantastic, >> Brent. We started this whole series of demonstrations by telling the audience that Red Hat Enterprise Lennox eight was the easiest, most economical and smartest operating system on the planet, period. And well, I think it's cute how you can go ahead and captain on a single machine. I'm going to show you one more thing. This is Answerable Tower. You can use as a bell tower to managing govern your answerable playbook, usage across your entire organization and with this. What I could do is on every single VM that was spun up here today. Opt in and register insights with a single click of a button. >> Okay, I want to see that right now. I know everyone's waiting for it as well, But hey, you're VM is ready. Josh. Lars? >> Yeah. My clock is running a little late now. Yeah, insights is a really cool feature >> of rail. And I've got it in all my images already. All >> right, I'm doing it all right. And so as this playbook runs across the inventory, I can see the machines registering on cloud that redhead dot com ready to be managed. >> OK, so all those onstage PM's as well as the hybrid cloud VM should be popping in IRC Post Chris equals Well, fantastic. >> That's awesome. Thanks to him. Nothing better than a Red Hat Summit speaker in the first live demo going off script deal. Uh, let's go back and take a look at some of those critical issues affecting a few of our systems here. So you can see this is a particular deanna's mask issue. It's going to affect a couple of machines. We saw that in the overview, and I can actually go and get some more details about what this particular issue is. So if you take a look at the right side of the screen there, there's actually a critical likelihood an impact that's associated with this particular issue. And what that really translates to is that there's a high level of risk to our organization from this particular issue. But also there's a low risk of change. And so what that means is that it's really, really safe for us to go ahead and use answerable to mediate this so I can grab the machines will select those two and we're mediate with answerable. I can create a new playbook. It's our maintenance window, but we'LL do something along the lines of like stuff Tim broke and that'LL be our cause. We name it whatever we want. So we'Ll create that playbook and take a look at it, and it's actually going to give us some details about the machines. You know what, what type of reboots Efendi you're going to be needed and what we need here. So we'LL go ahead and execute the playbook and what you're going to see is the outputs goingto happen in real time. So this is happening from the cloud were affecting machines. No matter where they are, they could be on Prem. They could be in a hybrid cloud, a public cloud or in a private cloud. And these things are gonna be remediated very, very easily with answerable. So it's really, really awesome. Everybody here with a red hat. Enterprise licks Lennox subscription has access to this now, so I >> kind of want >> everybody to go try this like, we really need to get this thing going and try it out right now. But >> don't know, sent about the room just yet. You get stay here >> for okay, Mr. Excitability, I think after this keynote, come back to the red hat booth and there's an optimization section. You can come talk to our insights engineers. And even though it's really easy to get going on your own, they can help you out. Answer any questions you might have. So >> this is really the start of a new era with an intelligent operating system and beauty with intelligence you just saw right now what insights that troubles you. Fantastic. So we're enabling systems administrators to manage more red in private clinics, a greater scale than ever before. I know there's a lot more we could show you, but we're totally out of time at this point, and we kind of, you know, when a little bit sideways here moments. But we need to get off the stage. But there's one thing I want you guys to think about it. All right? Do come check out the in the booth. Like Tim just said also in our debs, Get hands on red and a prize winning state as well. But really, I want you to think about this one human and a multitude of servers. And if you remember that one thing asked you upfront. Do you feel like you get a new superpower and redhead? Is your force multiplier? All right, well, thank you so much. Josh and Lars, Tim and Brent. Thank you. And let's get Paul back on stage. >> I went brilliant. No, it's just as always, >> amazing. I mean, as you can tell from last night were really, really proud of relate in that coming out here at the summit. And what a great way to showcase it. Thanks so much to you. Birth. Thanks, Brent. Tim, Lars and Josh. Just thanks again. So you've just seen this team demonstrate how impactful rail Khun b on your data center. So hopefully hopefully many of you. If not all of you have experienced that as well. But it was super computers. We hear about that all the time, as I just told you a few minutes ago, Lennox isn't just the foundation for enterprise and cloud computing. It's also the foundation for the fastest super computers in the world. In our next guest is here to tell us a lot more about that. >> Please welcome Lawrence Livermore National Laboratory. HPC solution Architect Robin Goldstone. >> Thank you so much, Robin. >> So welcome. Welcome to the summit. Welcome to Boston. And thank thank you so much for coming for joining us. Can you tell us a bit about the goals of Lawrence Livermore National Lab and how high high performance computing really works at this level? >> Sure. So Lawrence Livermore National >> Lab was established during the Cold War to address urgent national security needs by advancing the state of nuclear weapons, science and technology and high performance computing has always been one of our core capabilities. In fact, our very first supercomputer, ah Univac one was ordered by Edward Teller before our lab even opened back in nineteen fifty two. Our mission has evolved since then to cover a broad range of national security challenges. But first and foremost, our job is to ensure the safety, security and reliability of the nation's nuclear weapons stockpile. Oh, since the US no longer performs underground nuclear testing, our ability to certify the stockpile depends heavily on science based science space methods. We rely on H P C to simulate the behavior of complex weapons systems to ensure that they can function as expected, well beyond their intended life spans. That's actually great. >> So are you really are still running on that on that Univac? >> No, Actually, we we've moved on since then. So Sierra is Lawrence Livermore. Its latest and greatest supercomputer is currently the Seconds spastic supercomputer in the world and for the geeks in the audience, I think there's a few of them out there. We put up some of the specs of Syrah on the screen behind me, a couple of things worth highlighting our Sierra's peak performance and its power utilisation. So one hundred twenty five Pata flops of performance is equivalent to about twenty thousand of those Xbox one excess that you mentioned earlier and eleven point six megawatts of power required Operate Sierra is enough to power around eleven thousand homes. Syria is a very large and complex system, but underneath it all, it starts out as a collection of servers running Lin IX and more specifically, rail. >> So did Lawrence. Did Lawrence Livermore National Lab National Lab used Yisrael before >> Sierra? Oh, yeah, most definitely. So we've been running rail for a very long time on what I'll call our mid range HPC systems. So these clusters, built from commodity components, are sort of the bread and butter of our computer center. And running rail on these systems provides us with a continuity of operations and a common user environment across multiple generations of hardware. Also between Lawrence Livermore in our sister labs, Los Alamos and Sandia. Alongside these commodity clusters, though, we've always had one sort of world class supercomputer like Sierra. Historically, these systems have been built for a sort of exotic proprietary hardware running entirely closed source operating systems. Anytime something broke, which was often the Vander would be on the hook to fix it. And you know, >> that sounds >> like a good model, except that what we found overtime is most the issues that we have on these systems were either due to the extreme scale or the complexity of our workloads. Vendors seldom had a system anywhere near the size of ours, and we couldn't give them our classified codes. So their ability to reproduce our problem was was pretty limited. In some cases, they've even sent an engineer on site to try to reproduce our problems. But even then, sometimes we wouldn't get a fix for months or else they would just tell us they weren't going to fix the problem because we were the only ones having it. >> So for many of us, for many of us, the challenges is one of driving reasons for open source, you know, for even open source existing. How has how did Sierra change? Things are on open source for >> you. Sure. So when we developed our technical requirements for Sierra, we had an explicit requirement that we want to run an open source operating system and a strong preference for rail. At the time, IBM was working with red hat toe add support Terrell for their new little Indian power architecture. So it was really just natural for them to bid a red. A rail bay system for Sierra running Raylan Cyril allows us to leverage the model that's worked so well for us for all this time on our commodity clusters any packages that we build for X eighty six, we can now build those packages for power as well as our market texture using our internal build infrastructure. And while we have a formal support relationship with IBM, we can also tap our in house colonel developers to help debug complex problems are sys. Admin is Khun now work on any of our systems, including Sierra, without having toe pull out their cheat sheet of obscure proprietary commands. Our users get a consistent software environment across all our systems. And if the security vulnerability comes out, we don't have to chase around getting fixes from Multan slo es fenders. >> You know, you've been able, you've been able to extend your foundation from all the way from X eighty six all all the way to the extract excess Excuse scale supercomputing. We talk about giving customers all we talked about it all the time. A standard operational foundation to build upon. This isn't This isn't exactly what we've envisioned. So So what's next for you >> guys? Right. So what's next? So Sierra's just now going into production. But even so, we're already working on the contract for our next supercomputer called El Capitan. That's scheduled to be delivered the Lawrence Livermore in the twenty twenty two twenty timeframe. El Capitan is expected to be about ten times the performance of Sierra. I can't share any more details about that system right now, but we are hoping that we're going to be able to continue to build on a solid foundation. That relish provided us for well over a decade. >> Well, thank you so much for your support of realm over the years, Robin. And And thank you so much for coming and tell us about it today. And we can't wait to hear more about El Capitan. Thank you. Thank you very much. So now you know why we're so proud of realm. And while you saw confetti cannons and T shirt cannons last night, um, so you know, as as burned the team talked about the demo rail is the force multiplier for servers. We've made Lennox one of the most powerful platforms in the history of platforms. But just as Lennox has become a viable platform with access for everyone, and rail has become viable, more viable every day in the enterprise open source projects began to flourish around the operating system. And we needed to bring those projects to our enterprise customers in the form of products with the same trust models as we did with Ralph seeing the incredible progress of software development occurring around Lennox. Let's let's lead us to the next goal that we said tow, tow ourselves. That goal was to make hybrid cloud the default enterprise for the architecture. How many? How many of you out here in the audience or are Cesar are? HC sees how many out there a lot. A lot. You are the people that our building the next generation of computing the hybrid cloud, you know, again with like just like our goals around Lennox. This goals might seem a little daunting in the beginning, but as a community we've proved it time and time again. We are unstoppable. Let's talk a bit about what got us to the point we're at right right now and in the work that, as always, we still have in front of us. We've been on a decade long mission on this. Believe it or not, this mission was to build the capabilities needed around the Lenox operating system to really build and make the hybrid cloud. When we saw well, first taking hold in the enterprise, we knew that was just taking the first step. Because for a platform to really succeed, you need applications running on it. And to get those applications on your platform, you have to enable developers with the tools and run times for them to build, to build upon. Over the years, we've closed a few, if not a lot of those gaps, starting with the acquisition of J. Boss many years ago, all the way to the new Cuban Eddie's native code ready workspaces we launched just a few months back. We realized very early on that building a developer friendly platform was critical to the success of Lennox and open source in the enterprise. Shortly after this, the public cloud stormed onto the scene while our first focus as a company was done on premise in customer data centers, the public cloud was really beginning to take hold. Rehl very quickly became the standard across public clouds, just as it was in the enterprise, giving customers that common operating platform to build their applications upon ensuring that those applications could move between locations without ever having to change their code or operating model. With this new model of the data center spread across so many multiple environments, management had to be completely re sought and re architected. And given the fact that environments spanned multiple locations, management, real solid management became even more important. Customers deploying in hybrid architectures had to understand where their applications were running in how they were running, regardless of which infrastructure provider they they were running on. We invested over the years with management right alongside the platform, from satellite in the early days to cloud forms to cloud forms, insights and now answerable. We focused on having management to support the platform wherever it lives. Next came data, which is very tightly linked toe applications. Enterprise class applications tend to create tons of data and to have a common operating platform foyer applications. You need a storage solutions. That's Justus, flexible as that platform able to run on premise. Just a CZ. Well, as in the cloud, even across multiple clouds. This let us tow acquisitions like bluster, SEF perma bitch in Nubia, complimenting our Pratt platform with red hat storage for us, even though this sounds very condensed, this was a decade's worth of investment, all in preparation for building the hybrid cloud. Expanding the portfolio to cover the areas that a customer would depend on to deploy riel hybrid cloud architectures, finding any finding an amplifying the right open source project and technologies, or filling the gaps with some of these acquisitions. When that necessarily wasn't available by twenty fourteen, our foundation had expanded, but one big challenge remained workload portability. Virtual machine formats were fragmented across the various deployments and higher level framework such as Java e still very much depended on a significant amount of operating system configuration and then containers happened containers, despite having a very long being in existence for a very long time. As a technology exploded on the scene in twenty fourteen, Cooper Netease followed shortly after in twenty fifteen, allowing containers to span multiple locations and in one fell swoop containers became the killer technology to really enable the hybrid cloud. And here we are. Hybrid is really the on ly practical reality in way for customers and a red hat. We've been investing in all aspects of this over the last eight plus years to make our customers and partners successful in this model. We've worked with you both our customers and our partners building critical realm in open shift deployments. We've been constantly learning about what has caused problems and what has worked well in many cases. And while we've and while we've amassed a pretty big amount of expertise to solve most any challenge in in any area that stack, it takes more than just our own learning's to build the next generation platform. Today we're also introducing open shit for which is the culmination of those learnings. This is the next generation of the application platform. This is truly a platform that has been built with our customers and not simply just with our customers in mind. This is something that could only be possible in an open source development model and just like relish the force multiplier for servers. Open shift is the force multiplier for data centers across the hybrid cloud, allowing customers to build thousands of containers and operate them its scale. And we've also announced open shift, and we've also announced azure open shift. Last night. Satya on this stage talked about that in depth. This is all about extending our goals of a common operating platform enabling applications across the hybrid cloud, regardless of whether you run it yourself or just consume it as a service. And with this flagship release, we are also introducing operators, which is the central, which is the central feature here. We talked about this work last year with the operator framework, and today we're not going to just show you today. We're not going to just show you open shift for we're going to show you operators running at scale operators that will do updates and patches for you, letting you focus more of your time and running your infrastructure and running running your business. We want to make all this easier and intuitive. So let's have a quick look at how we're doing. Just that >> painting. I know all of you have heard we're talking to pretend to new >> customers about the travel out. So new plan. Just open it up as a service been launched by this summer. Look, I know this is a big quest for not very big team. I'm open to any and all ideas. >> Please welcome back to the stage. Red Hat Global director of developer Experience burst Sutter with Jessica Forrester and Daniel McPherson. All right, we're ready to do some more now. Now. Earlier we showed you read Enterprise Clinic St running on lots of different hardware like this hardware you see right now And we're also running across multiple cloud providers. But now we're going to move to another world of Lennox Containers. This is where you see open shift four on how you can manage large clusters of applications from eggs limits containers across the hybrid cloud. We're going to see this is where suffer operators fundamentally empower human operators and especially make ups and Deb work efficiently, more efficiently and effectively there together than ever before. Rights. We have to focus on the stage right now. They're represent ops in death, and we're gonna go see how they reeled in application together. Okay, so let me introduce you to Dan. Dan is totally representing all our ops folks in the audience here today, and he's telling my ops, comfort person Let's go to call him Mr Ops. So Dan, >> thanks for with open before, we had a much easier time setting up in maintaining our clusters. In large part, that's because open shit for has extended management of the clusters down to the infrastructure, the diversity kinds of parent. When you take >> a look at the open ship console, >> you can now see the machines that make up the cluster where machine represents the infrastructure. Underneath that Cooper, Eddie's node open shit for now handles provisioning Andy provisioning of those machines. From there, you could dig into it open ship node and see how it's configured and monitor how it's behaving. So >> I'm curious, >> though it does this work on bare metal infrastructure as well as virtualized infrastructure. >> Yeah, that's right. Burn So Pa Journal nodes, no eternal machines and open shit for can now manage it all. Something else we found extremely useful about open ship for is that it now has the ability to update itself. We can see this cluster hasn't update available and at the press of a button. Upgrades are responsible for updating. The entire platform includes the nodes, the control plane and even the operating system and real core arrests. All of this is possible because the infrastructure components and their configuration is now controlled by technology called operators. Thes software operators are responsible for aligning the cluster to a desired state. And all of this makes operational management of unopened ship cluster much simpler than ever before. All right, I >> love the fact that all that's been on one console Now you can see the full stack right all way down to the bare metal right there in that one console. Fantastic. So I wanted to scare us for a moment, though. And now let's talk to Deva, right? So Jessica here represents our all our developers in the room as my facts. He manages a large team of developers here Red hat. But more importantly, she represents our vice president development and has a large team that she has to worry about on a regular basis of Jessica. What can you show us? We'LL burn My team has hundreds of developers and were constantly under pressure to deliver value to our business. And frankly, we can't really wait for Dan and his ops team to provisioned the infrastructure and the services that we need to do our job. So we've chosen open shift as our platform to run our applications on. But until recently, we really struggled to find a reliable source of Cooper Netease Technologies that have the operational characteristics that Dan's going to actually let us install through the cluster. But now, with operator, How bio, we're really seeing the V ecosystem be unlocked. And the technology's there. Things that my team needs, its databases and message cues tracing and monitoring. And these operators are actually responsible for complex applications like Prometheus here. Okay, they're written in a variety of languages, danceable, but that is awesome. So I do see a number of options there already, and preaches is a great example. But >> how do you >> know that one? These operators really is mature enough and robust enough for Dan and the outside of the house. Wilbert, Here we have the operator maturity model, and this is going to tell me and my team whether this particular operator is going to do a basic install if it's going to upgrade that application over time through different versions or all the way out to full auto pilot, where it's automatically scaling and tuning the application based on the current environment. And it's very cool. So coming over toothy open shift Consul, now we can actually see Dan has made the sequel server operator available to me and my team. That's the database that we're using. A sequel server. That's a great example. So cynics over running here in the cluster? But this is a great example for a developer. What if I want to create a new secret server instance? Sure, we're so it's as easy as provisioning any other service from the developer catalog. We come in and I can type for sequel server on what this is actually creating is, ah, native resource called Sequel Server, and you can think of that like a promise that a sequel server will get created. The operator is going to see that resource, install the application and then manage it over its life cycle, KAL, and from this install it operators view, I can see the operators running in my project and which resource is its managing Okay, but I'm >> kind of missing >> something here. I see this custom resource here, the sequel server. But where the community's resource is like pods. Yeah, I think it's cool that we get this native resource now called Sequel Server. But if I need to, I can still come in and see the native communities. Resource is like your staple set in service here. Okay, that is fantastic. Now, we did say earlier on, though, like many of our customers in the audience right now, you have a large team of engineers. Lost a large team of developers you gotta handle. You gotta have more than one secret server, right? We do one for every team as we're developing, and we use a lot of other technologies running on open shift as well, including Tomcat and our Jenkins pipelines and our dough js app that is gonna actually talk to that sequel server database. Okay, so this point we can kind of provisions, Some of these? Yes. Oh, since all of this is self service for me and my team's, I'm actually gonna go and create one of all of those things I just said on all of our projects, right Now, if you just give me a minute, Okay? Well, right. So basically, you're going to knock down No Jazz Jenkins sequel server. All right, now, that's like hundreds of bits of application level infrastructure right now. Live. So, Dan, are you not terrified? Well, I >> guess I should have done a little bit better >> job of managing guests this quota and historically just can. I might have had some conflict here because creating all these new applications would admit my team now had a massive back like tickets to work on. But now, because of software operators, my human operators were able to run our infrastructure at scale. So since I'm long into the cluster here as the cluster admin, I get this view of pods across all projects. And so I get an idea of what's happening across the entire cluster. And so I could see now we have four hundred ninety four pods already running, and there's a few more still starting up. And if I scroll to the list, we can see the different workloads Jessica just mentioned of Tomcats. And no Gs is And Jenkins is and and Siegel servers down here too, you know, I see continues >> creating and you have, like, close to five hundred pods running >> there. So, yeah, filters list down by secret server, so we could just see. Okay, But >> aren't you not >> running going around a cluster capacity at some point? >> Actually, yeah, we we definitely have a limited capacity in this cluster. And so, luckily, though, we already set up auto scale er's And so because the additional workload was launching, we see now those outer scholars have kicked in and some new machines are being created that don't yet have noticed. I'm because they're still starting up. And so there's another good view of this as well, so you can see machine sets. We have one machine set per availability zone, and you could see the each one is now scaling from ten to twelve machines. And the way they all those killers working is for each availability zone, they will. If capacities needed, they will add additional machines to that availability zone and then later effect fast. He's no longer needed. It will automatically take those machines away. >> That is incredible. So right now we're auto scaling across multiple available zones based on load. Okay, so looks like capacity planning and automation is fully, you know, handle this point. But I >> do have >> another question for year logged in. Is the cluster admin right now into the console? Can you show us your view of >> operator suffer operators? Actually, there's a couple of unique views here for operators, for Cluster admits. The first of those is operator Hub. This is where a cluster admin gets the ability to curate the experience of what operators are available to users of the cluster. And so obviously we already have the secret server operator installed, which which we've been using. The other unique view is operator management. This gives a cluster I've been the ability to maintain the operators they've already installed. And so if we dig in and see the secret server operator, well, see, we haven't set up for manual approval. And what that means is if a new update comes in for a single server, then a cluster and we would have the ability to approve or disapprove with that update before installs into the cluster, we'LL actually and there isn't upgrade that's available. Uh, I should probably wait to install this, though we're in the middle of scaling out this cluster. And I really don't want to disturb Jessica's application. Workflow. >> Yeah, so, actually, Dan, it's fine. My app is already up. It's running. Let me show it to you over here. So this is our products application that's talking to that sequel server instance. And for debugging purposes, we can see which version of sequel server we're currently talking to. Its two point two right now. And then which pod? Since this is a cluster, there's more than one secret server pod we could be connected to. Okay, I could see right there the bounder screeners they know to point to. That's the version we have right now. But, you know, >> this is kind of >> point of software operators at this point. So, you know, everyone in this room, you know, wants to see you hit that upgrade button. Let's do it. Live here on stage. Right, then. All >> right. All right. I could see where this is going. So whenever you updated operator, it's just like any other resource on communities. And so the first thing that happens is the operator pot itself gets updated so we actually see a new version of the operator is currently being created now, and what's that gets created, the overseer will be terminated. And that point, the new, softer operator will notice. It's now responsible for managing lots of existing Siegel servers already in the environment. And so it's then going Teo update each of those sickle servers to match to the new version of the single server operator and so we could see it's running. And so if we switch now to the all projects view and we filter that list down by sequel server, then we should be able to see us. So lots of these sickle servers are now being created and the old ones are being terminated. So is the rolling update across the cluster? Exactly a So the secret server operator Deploy single server and an H A configuration. And it's on ly updates a single instance of secret server at a time, which means single server always left in nature configuration, and Jessica doesn't really have to worry about downtime with their applications. >> Yeah, that's awesome dance. So glad the team doesn't have to worry about >> that anymore and just got I think enough of these might have run by Now, if you try your app again might be updated. >> Let's see Jessica's application up here. All right. On laptop three. >> Here we go. >> Fantastic. And yet look, we're We're into two before we're onto three. Now we're on to victory. Excellent on. >> You know, I actually works so well. I don't even see a reason for us to leave this on manual approval. So I'm going to switch this automatic approval. And then in the future, if a new single server comes in, then we don't have to do anything, and it'll be all automatically updated on the cluster. >> That is absolutely fantastic. And so I was glad you guys got a chance to see that rolling update across the cluster. That is so cool. The Secret Service database being automated and fully updated. That is fantastic. Alright, so I can see how a software operator doesn't able. You don't manage hundreds if not thousands of applications. I know a lot of folks or interest in the back in infrastructure. Could you give us an example of the infrastructure >> behind this console? Yeah, absolutely. So we all know that open shift is designed that run in lots of different environments. But our teams think that as your redhead over, Schiff provides one of the best experiences by deeply integrating the open chief Resource is into the azure console, and it's even integrated into the azure command line toll and the easy open ship man. And, as was announced yesterday, it's now available for everyone to try out. And there's actually one more thing we wanted to show Everyone related to open shit, for this is all so new with a penchant for which is we now have multi cluster management. This gives you the ability to keep track of all your open shift environments, regardless of where they're running as well as you can create new clusters from here. And I'll dig into the azure cluster that we were just taking a look at. >> Okay, but is this user and face something have to install them one of my existing clusters? >> No, actually, this is the host of service that's provided by Red hat is part of cloud that redhead that calm and so all you have to do is log in with your red hair credentials to get access. >> That is incredible. So one console, one user experience to see across the entire hybrid cloud we saw earlier with Red update. Right and red embers. Thank Satan. Now we see it for multi cluster management. But home shift so you can fundamentally see. Now the suffer operators do finally change the game when it comes to making human operators vastly more productive and, more importantly, making Devon ops work more efficiently together than ever before. So we saw the rich ice vehicle system of those software operators. We can manage them across the Khyber Cloud with any, um, shift instance. And more importantly, I want to say Dan and Jessica for helping us with this demonstration. Okay, fantastic stuff, guys. Thank you so much. Let's get Paul back out here >> once again. Thanks >> so much to burn his team. Jessica and Dan. So you've just seen how open shift operators can help you manage hundreds, even thousands of applications. Install, upgrade, remove nodes, control everything about your application environment, virtual physical, all the way out to the cloud making, making things happen when the business demands it even at scale, because that's where it's going to get. Our next guest has lots of experience with demand at scale. and they're using open source container management to do it. Their work, their their their work building a successful cloud, First platform and there, the twenty nineteen Innovation Award winner. >> Please welcome twenty nineteen Innovation Award winner. Cole's senior vice president of technology, Rich Hodak. >> How you doing? Thanks. >> Thanks so much for coming out. We really appreciate it. So I guess you guys set some big goals, too. So can you baby tell us about the bold goal? Helped you personally help set for Cole's. And what inspired you to take that on? Yes. So it was twenty seventeen and life was pretty good. I had no gray hair and our business was, well, our tech was working well, and but we knew we'd have to do better into the future if we wanted to compete. Retails being disrupted. Our customers are asking for new experiences, So we set out on a goal to become an open hybrid cloud platform, and we chose Red had to partner with us on a lot of that. We set off on a three year journey. We're currently in Year two, and so far all KP eyes are on track, so it's been a great journey thus far. That's awesome. That's awesome. So So you Obviously, Obviously you think open source is the way to do cloud computing. So way absolutely agree with you on that point. So So what? What is it that's convinced you even more along? Yeah, So I think first and foremost wait, do we have a lot of traditional IAS fees? But we found that the open source partners actually are outpacing them with innovation. So I think that's where it starts for us. Um, secondly, we think there's maybe some financial upside to going more open source. We think we can maybe take some cost out unwind from these big fellas were in and thirdly, a CZ. We go to universities. We started hearing. Is we interviewed? Hey, what is Cole's doing with open source and way? Wanted to use that as a lever to help recruit talent. So I'm kind of excited, you know, we partner with Red Hat on open shift in in Rail and Gloucester and active M Q and answerable and lots of things. But we've also now launched our first open source projects. So it's really great to see this journey. We've been on. That's awesome, Rich. So you're in. You're in a high touch beta with with open shift for So what? What features and components or capabilities are you most excited about and looking forward to what? The launch and you know, and what? You know what? What are the something maybe some new goals that you might be able to accomplish with with the new features. And yeah, So I will tell you we're off to a great start with open shift. We've been on the platform for over a year now. We want an innovation award. We have this great team of engineers out here that have done some outstanding work. But certainly there's room to continue to mature that platform. It calls, and we're excited about open shift, for I think there's probably three things that were really looking forward to. One is we're looking forward to, ah, better upgrade process. And I think we saw, you know, some of that in the last demo. So upgrades have been kind of painful up until now. So we think that that that will help us. Um, number two, A lot of our open shift workloads today or the workloads. We run an open shifts are the stateless apse. Right? And we're really looking forward to moving more of our state full lapse into the platform. And then thirdly, I think that we've done a great job of automating a lot of the day. One stuff, you know, the provisioning of, of things. There's great opportunity o out there to do mohr automation for day two things. So to integrate mohr with our messaging systems in our database systems and so forth. So we, uh we're excited. Teo, get on board with the version for wear too. So, you know, I hope you, Khun, we can help you get to the next goals and we're going to continue to do that. Thank you. Thank you so much rich, you know, all the way from from rail toe open shift. It's really exciting for us, frankly, to see our products helping you solve World War were problems. What's you know what? Which is. Really? Why way do this and and getting into both of our goals. So thank you. Thank you very much. And thanks for your support. We really appreciate it. Thanks. It has all been amazing so far and we're not done. A critical part of being successful in the hybrid cloud is being successful in your data center with your own infrastructure. We've been helping our customers do that in these environments. For almost twenty years now, we've been running the most complex work loads in the world. But you know, while the public cloud has opened up tremendous possibilities, it also brings in another type of another layer of infrastructure complexity. So what's our next goal? Extend your extend your data center all the way to the edge while being as effective as you have been over the last twenty twenty years, when it's all at your own fingertips. First from a practical sense, Enterprises air going to have to have their own data centers in their own environment for a very long time. But there are advantages of being able to manage your own infrastructure that expand even beyond the public cloud all the way out to the edge. In fact, we talked about that very early on how technology advances in computer networking is storage are changing the physical boundaries of the data center every single day. The need, the need to process data at the source is becoming more and more critical. New use cases Air coming up every day. Self driving cars need to make the decisions on the fly. In the car factory processes are using a I need to adapt in real time. The factory floor has become the new edge of the data center, working with things like video analysis of a of A car's paint job as it comes off the line, where a massive amount of data is on ly needed for seconds in order to make critical decisions in real time. If we had to wait for the video to go up to the cloud and back, it would be too late. The damage would have already been done. The enterprise is being stretched to be able to process on site, whether it's in a car, a factory, a store or in eight or nine PM, usually involving massive amounts of data that just can't easily be moved. Just like these use cases couldn't be solved in private cloud alone because of things like blatant see on data movement, toe address, real time and requirements. They also can't be solved in public cloud alone. This is why open hybrid is really the model that's needed in the only model forward. So how do you address this class of workload that requires all of the above running at the edge? With the latest technology all its scale, let me give you a bit of a preview of what we're working on. We are taking our open hybrid cloud technologies to the edge, Integrated with integrated with Aro AM Hardware Partners. This is a preview of a solution that will contain red had open shift self storage in K V M virtual ization with Red Hat Enterprise Lennox at the core, all running on pre configured hardware. The first hardware out of the out of the gate will be with our long time. Oh, am partner Del Technologies. So let's bring back burn the team to see what's right around the corner. >> Please welcome back to the stage. Red Hat. Global director of developer Experience burst Sutter with Kareema Sharma. Okay, We just how was your Foreign operators have redefined the capabilities and usability of the open hybrid cloud, and now we're going to show you a few more things. Okay, so just be ready for that. But I know many of our customers in this audience right now, as well as the customers who aren't even here today. You're running tens of thousands of applications on open chef clusters. We know that disappearing right now, but we also know that >> you're not >> actually in the business of running terminators clusters. You're in the business of oil and gas from the business retail. You're in a business transportation, you're in some other business and you don't really want to manage those things at all. We also know though you have lo latest requirements like Polish is talking about. And you also dated gravity concerns where you >> need to keep >> that on your premises. So what you're about to see right now in this demonstration is where we've taken open ship for and made a bare metal cluster right here on this stage. This is a fully automated platform. There is no underlying hyper visor below this platform. It's open ship running on bare metal. And this is your crew vanities. Native infrastructure, where we brought together via mes containers networking and storage with me right now is green mush arma. She's one of her engineering leaders responsible for infrastructure technologies. Please welcome to the stage, Karima. >> Thank you. My pleasure to be here, whether it had summit. So let's start a cloud. Rid her dot com and here we can see the classroom Dannon Jessica working on just a few moments ago From here we have a bird's eye view ofthe all of our open ship plasters across the hybrid cloud from multiple cloud providers to on premises and noticed the spare medal last year. Well, that's the one that my team built right here on this stage. So let's go ahead and open the admin console for that last year. Now, in this demo, we'LL take a look at three things. A multi plaster inventory for the open Harbor cloud at cloud redhead dot com. Second open shift container storage, providing convert storage for virtual machines and containers and the same functionality for cloud vert and bare metal. And third, everything we see here is scuba unit is native, so by plugging directly into communities, orchestration begin common storage. Let working on monitoring facilities now. Last year, we saw how continue native actualization and Q Bert allow you to run virtual machines on Cabinet is an open shift, allowing for a single converge platform to manage both containers and virtual machines. So here I have this dark net project now from last year behead of induced virtual machine running it S P darknet application, and we had started to modernize and continue. Arise it by moving. Parts of the application from the windows began to the next containers. So let's take a look at it here. I have it again. >> Oh, large shirt, you windows. Earlier on, I was playing this game back stage, so it's just playing a little solitaire. Sorry about that. >> So we don't really have time for that right now. Birds. But as I was saying, Over here, I have Visions Studio Now the window's virtual machine is just another container and open shift and the i d be service for the virtual machine. It's just another service in open shift open shifts. Running both containers and virtual machines together opens a whole new world of possibilities. But why stop there? So this here be broadened to come in. It is native infrastructure as our vision to redefine the operation's off on premises infrastructure, and this applies to all matters of workloads. Using open shift on metal running all the way from the data center to the edge. No by your desk, right to main benefits. Want to help reduce the operation casts And second, to help bring advance good when it is orchestration concept to your infrastructure. So next, let's take a look at storage. So open shift container storage is software defined storage, providing the same functionality for both the public and the private lads. By leveraging the operator framework, open shift container storage automatically detects the available hardware configuration to utilize the discs in the most optimal vein. So then adding my note, you don't have to think about how to balance the storage. Storage is just another service running an open shift. >> And I really love this dashboard quite honestly, because I love seeing all the storage right here. So I'm kind of curious, though. Karima. What kind of storage would you What, What kind of applications would you use with the storage? >> Yeah, so this is the persistent storage. To be used by a database is your files and any data from applications such as a Magic Africa. Now the A Patrick after operator uses school, been at this for scheduling and high availability, and it uses open shift containers. Shortest. Restore the messages now Here are on premises. System is running a caf co workload streaming sensor data on DH. We want toe sort it and act on it locally, right In a minute. A place where maybe we need low latency or maybe in a data lake like situation. So we don't want to send the starter to the cloud. Instead, we want to act on it locally, right? Let's look at the griffon a dashboard and see how our system is doing so with the incoming message rate of about four hundred messages for second, the system seems to be performing well, right? I want to emphasize this is a fully integrated system. We're doing the testing An optimization sze so that the system can Artoo tune itself based on the applications. >> Okay, I love the automated operations. Now I am a curious because I know other folks in the audience want to know this too. What? Can you tell us more about how there's truly integrated communities can give us an example of that? >> Yes. Again, You know, I want to emphasize everything here is managed poorly by communities on open shift. Right. So you can really use the latest coolest to manage them. All right. Next, let's take a look at how easy it is to use K native with azure functions to script alive Reaction to a live migration event. >> Okay, Native is a great example. If actually were part of my breakout session yesterday, you saw me demonstrate came native. And actually, if you want to get hands on with it tonight, you can come to our guru night at five PM and actually get hands on like a native. So I really have enjoyed using K. Dated myself as a software developer. And but I am curious about the azure functions component. >> Yeah, so as your functions is a function is a service engine developed by Microsoft fully open source, and it runs on top of communities. So it works really well with our on premises open shift here. Right now, I have a simple azure function that I already have here and this azure function, you know, Let's see if this will send out a tweet every time we live My greater Windows virtual machine. Right. So I have it integrated with open shift on DH. Let's move a note to maintenance to see what happens. So >> basically has that via moves. We're going to see the event triggered. They trigger the function. >> Yeah, important point I want to make again here. Windows virtue in machines are equal citizens inside of open shift. We're investing heavily in automation through the use of the operator framework and also providing integration with the hardware. Right, So next, Now let's move that note to maintain it. >> But let's be very clear here. I wanna make sure you understand one thing, and that is there is no underlying virtual ization software here. This is open ship running on bear. Meddle with these bare metal host. >> That is absolutely right. The system can automatically discover the bare metal hosts. All right, so here, let's move this note to maintenance. So I start them Internets now. But what will happen at this point is storage will heal itself, and communities will bring back the same level of service for the CAFTA application by launching a part on another note and the virtual machine belive my great right and this will create communities events. So we can see. You know, the events in the event stream changes have started to happen. And as a result of this migration, the key native function will send out a tweet to confirm that could win. It is native infrastructure has indeed done the migration for the live Ian. Right? >> See the events rolling through right there? >> Yeah. All right. And if we go to Twitter? >> All right, we got tweets. Fantastic. >> And here we can see the source Nord report. Migration has succeeded. It's a pretty cool stuff right here. No. So we want to bring you a cloud like experience, but this means is we're making operational ease a fuse as a top goal. We're investing heavily in encapsulating management knowledge and working to pre certify hardware configuration in working with their partners such as Dell, and they're dead already. Note program so that we can provide you guidance on specific benchmarks for specific work loads on our auto tuning system. >> All right, well, this is tow. I know right now, you're right thing, and I want to jump on the stage and check out the spare metal cluster. But you should not right. Wait After the keynote didn't. Come on, check it out. But also, I want you to go out there and think about visiting our partner Del and their booth where they have one. These clusters also. Okay, So this is where vmc networking and containers the storage all come together And a Kurban in his native infrastructure. You've seen right here on this stage, but an agreement. You have a bit more. >> Yes. So this is literally the cloud coming down from the heavens to us. >> Okay? Right here, Right now. >> Right here, right now. So, to close the loop, you can have your plaster connected to cloud redhead dot com for our insights inside reliability engineering services so that we can proactively provide you with the guidance through automated analyses of telemetry in logs and help flag a problem even before you notice you have it Beat software, hardware, performance, our security. And one more thing. I want to congratulate the engineers behind the school technology. >> Absolutely. There's a lot of engineers here that worked on this cluster and worked on the stack. Absolutely. Thank you. Really awesome stuff. And again do go check out our partner Dale. They're just out that door I can see them from here. They have one. These clusters get a chance to talk to them about how to run your open shift for on a bare metal cluster as well. Right, Kareema, Thank you so much. That was totally awesome. We're at a time, and we got to turn this back over to Paul. >> Thank you. Right. >> Okay. Okay. Thanks >> again. Burned, Kareema. Awesome. You know, So even with all the exciting capabilities that you're seeing, I want to take a moment to go back to the to the first platform tenant that we learned with rail, that the platform has to be developer friendly. Our next guest knows something about connecting a technology like open shift to their developers and part of their company. Wide transformation and their ability to shift the business that helped them helped them make take advantage of the innovation. Their Innovation award winner this year. Please, Let's welcome Ed to the stage. >> Please welcome. Twenty nineteen. Innovation Award winner. BP Vice President, Digital transformation. Ed Alford. >> Thanks, Ed. How your fake Good. So was full. Get right into it. What we go you guys trying to accomplish at BP and and How is the goal really important in mandatory within your organization? Support on everyone else were global energy >> business, with operations and over seventy countries. Andi. We've embraced what we call the jewel challenge, which is increasing the mind for energy that we have as individuals in the world. But we need to produce the energy with fuel emissions. It's part of that. One of our strategic priorities that we >> have is to modernize the whole group on. That means simplifying our processes and enhancing >> productivity through digital solutions. So we're using chlo based technologies >> on, more importantly, open source technologies to clear a community and say, the whole group that collaborates effectively and efficiently and uses our data and expertise to embrace the jewel challenge and actually try and help solve that problem. That's great. So So how did these heart of these new ways of working benefit your team and really the entire organ, maybe even the company as a whole? So we've been given the Innovation Award for Digital conveyor both in the way it was created and also in water is delivering a couple of guys in the audience poll costal and brewskies as he they they're in the team. Their teams developed that convey here, using our jail and Dev ops and some things. We talk about this stuff a lot, but actually the they did it in a truly our jail and develops we, um that enabled them to experiment and walking with different ways. And highlight in the skill set is that we, as a group required in order to transform using these approaches, we can no move things from ideation to scale and weeks and days sometimes rather than months. Andi, I think that if we can take what they've done on DH, use more open source technology, we contain that technology and apply across the whole group to tackle this Jill challenge. And I think that we use technologists and it's really cool. I think that we can no use technology and open source technology to solve some of these big challenges that we have and actually just preserve the planet in a better way. So So what's the next step for you guys at BP? So moving forward, we we are embracing ourselves, bracing a clothed, forced organization. We need to continue to live to deliver on our strategy, build >> over the technology across the entire group to address the jewel >> challenge and continue to make some of these bold changes and actually get into and really use. Our technology is, I said, too addresses you'LL challenge and make the future of our planet a better place for ourselves and our children and our children's children. That's that's a big goal. But thank you so much, Ed. Thanks for your support. And thanks for coming today. Thank you very much. Thank you. Now comes the part that, frankly, I think his best part of the best part of this presentation We're going to meet the type of person that makes all of these things a reality. This tip this type of person typically works for one of our customers or with one of with one of our customers as a partner to help them make the kinds of bold goals like you've heard about today and the ones you'll hear about Maura the way more in the >> week. I think the thing I like most about it is you feel that reward Just helping people I mean and helping people with stuff you enjoy right with computers. My dad was the math and science teacher at the local high school. And so in the early eighties, that kind of met here, the default person. So he's always bringing in a computer stuff, and I started a pretty young age. What Jason's been able to do here is Mohr evangelize a lot of the technologies between different teams. I think a lot of it comes from the training and his certifications that he's got. He's always concerned about their experience, how easy it is for them to get applications written, how easy it is for them to get them up and running at the end of the day. We're a loan company, you know. That's way we lean on accounting like red. That's where we get our support front. That's why we decided to go with a product like open shift. I really, really like to product. So I went down. The certification are out in the training ground to learn more about open shit itself. So my daughter's teacher, they were doing a day of coding, and so they asked me if I wanted to come and talk about what I do and then spend the day helping the kids do their coding class. The people that we have on our teams, like Jason, are what make us better than our competitors, right? Anybody could buy something off the shelf. It's people like him. They're able to take that and mold it into something that then it is a great offering for our partners and for >> customers. Please welcome Red Hat Certified Professional of the Year Jason Hyatt. >> Jason, Congratulations. Congratulations. What a what a big day, huh? What a really big day. You know, it's great. It's great to see such work, You know that you've done here. But you know what's really great and shows out in your video It's really especially rewarding. Tow us. And I'm sure to you as well to see how skills can open doors for for one for young women, like your daughters who already loves technology. So I'd liketo I'd like to present this to you right now. Take congratulations. Congratulations. Good. And we I know you're going to bring this passion. I know you bring this in, everything you do. So >> it's this Congratulations again. Thanks, Paul. It's been really exciting, and I was really excited to bring my family here to show the experience. It's it's >> really great. It's really great to see him all here as well going. Maybe we could you could You guys could stand up. So before we leave before we leave the stage, you know, I just wanted to ask, What's the most important skill that you'LL pass on from all your training to the future generations? >> So I think the most important thing is you have to be a continuous learner you can't really settle for. Ah, you can't be comfortable on learning, which I already know. You have to really drive a continuous Lerner. And of course, you got to use the I ninety. Maxwell. Quite. >> I don't even have to ask you the question. Of course. Right. Of course. That's awesome. That's awesome. And thank you. Thank you for everything, for everything that you're doing. So thanks again. Thank you. You know what makes open source work is passion and people that apply those considerable talents that passion like Jason here to making it worked and to contribute their idea there. There's back. And believe me, it's really an impressive group of people. You know you're family and especially Berkeley in the video. I hope you know that the redhead, the certified of the year is the best of the best. The cream of the crop and your dad is the best of the best of that. So you should be very, very happy for that. I also and I also can't wait. Teo, I also can't wait to come back here on this stage ten years from now and present that same award to you. Berkeley. So great. You should be proud. You know, everything you've heard about today is just a small representation of what's ahead of us. We've had us. We've had a set of goals and realize some bold goals over the last number of years that have gotten us to where we are today. Just to recap those bold goals First bait build a company based solely on open source software. It seems so logical now, but it had never been done before. Next building the operating system of the future that's going to run in power. The enterprise making the standard base platform in the op in the Enterprise Olympics based operating system. And after that making hybrid cloud the architecture of the future make hybrid the new data center, all leading to the largest software acquisition in history. Think about it around us around a company with one hundred percent open source DNA without. Throughout. Despite all the fun we encountered over those last seventeen years, I have to ask, Is there really any question that open source has won? Realizing our bold goals and changing the way software is developed in the commercial world was what we set out to do from the first day in the Red Hat was born. But we only got to that goal because of you. Many of you contributors, many of you knew toe open source software and willing to take the risk along side of us and many of partners on that journey, both inside and outside of Red Hat. Going forward with the reach of IBM, Red hat will accelerate. Even Mohr. This will bring open source general innovation to the next generation hybrid data center, continuing on our original mission and goal to bring open source technology toe every corner of the planet. What I what I just went through in the last hour Soul, while mind boggling to many of us in the room who have had a front row seat to this overto last seventeen plus years has only been red hats. First step. Think about it. We have brought open source development from a niche player to the dominant development model in software and beyond. Open Source is now the cornerstone of the multi billion dollar enterprise software world and even the next generation hybrid act. Architecture would not even be possible without Lennox at the core in the open innovation that it feeds to build around it. This is not just a step forward for software. It's a huge leap in the technology world beyond even what the original pioneers of open source ever could have imagined. We have. We have witnessed open source accomplished in the last seventeen years more than what most people will see in their career. Or maybe even a lifetime open source has forever changed the boundaries of what will be possible in technology in the future. And in the one last thing to say, it's everybody in this room and beyond. Everyone outside continue the mission. Thanks have a great sum. It's great to see it
SUMMARY :
Ladies and gentlemen, please welcome Red Hat President Products and Technologies. Kennedy setting the gold to the American people to go to the moon. that point I knew that despite the promise of Lennox, we had a lot of work ahead of us. So it is an honor for me to be able to show it to you live on stage today. And we're not about the clinic's eight. And Morgan, There's windows. That means that for the first time, you can log in from any device Because that's the standard Lennox off site. I love the dashboard overview of the system, You see the load of the system, some some of its properties. So what about if I have to add a whole new application to this environment? Which the way for you to install different versions of your half stack that That is fantastic and the application streams Want to keep up with the fast moving ecosystems off programming I know some people were thinking it right now. everyone you want two or three or whichever your application needs. And I'm going to the rat knowledge base and looking up things like, you know, PV create VD, I've opened the storage space for you right here, where you see an overview of your storage. you know, we'll have another question for you. you know a lot of people, including me and people in the audience like that dark out right? much easier, including a post gra seeker and, of course, the python that we saw right there. Yeah, absolutely. And it's saved so that you don't actually have to know all the various incantations from Amazon I All right, Well, if you want to prevent a holy war in your system, you can actually use satellite to filter that out. Okay, So this VM image we just created right now from that blueprint this is now I can actually go out there and easily so you can really hit your Clyburn hybrid cloud operating system images. and I just need a few moments for it to build. So while that's taking a few moments, I know there's another key question in the minds of the audience right now, You see all my relate machines here, including the one I showed you what Consul on before. Okay, okay, so now it's progressing. it's progressing. live upgrade on stage. Detective that and you know, it doesn't run the Afghan cause we don't support operating that. So the good news is, we were protected from possible failed upgrade there, That's the idea. And I really love what you showed us there. So you were away for so long. So the really cool thing about this bird is that all of these images were built So thank you so much for that large. more to talk to you about. I'm going to show you here a satellite inventory and his So he's all the machines can get updated in one fell swoop. And there's one thing that I want to bring your attention to today because it's brand new. I know that in the minds of the audience right now. I've actually been waiting for a while patiently for you to get to the really good stuff. there's one more thing that I wanted to let folks know about. next eight and some features that we have there. So, actually, one of the key design principles of relate is working with our customers over the last twenty years to integrate OK, so we basically have this new feature. So And this is this list is growing every single day, so customers can actually opt in to the rules that are most But it comes to CVS and things that nature. This is the satellite that we saw before, and I'll grab one of the hosts and I love it so it's just a single command and you're ready to register this box right now. I'm going to show you one more thing. I know everyone's waiting for it as well, But hey, you're VM is ready. Yeah, insights is a really cool feature And I've got it in all my images already. the machines registering on cloud that redhead dot com ready to be managed. OK, so all those onstage PM's as well as the hybrid cloud VM should be popping in IRC Post Chris equals Well, We saw that in the overview, and I can actually go and get some more details about what this everybody to go try this like, we really need to get this thing going and try it out right now. don't know, sent about the room just yet. And even though it's really easy to get going on and we kind of, you know, when a little bit sideways here moments. I went brilliant. We hear about that all the time, as I just told Please welcome Lawrence Livermore National Laboratory. And thank thank you so much for coming for But first and foremost, our job is to ensure the safety, and for the geeks in the audience, I think there's a few of them out there. before And you know, Vendors seldom had a system anywhere near the size of ours, and we couldn't give them our classified open source, you know, for even open source existing. And if the security vulnerability comes out, we don't have to chase around getting fixes from Multan slo all the way to the extract excess Excuse scale supercomputing. share any more details about that system right now, but we are hoping that we're going to be able of the data center spread across so many multiple environments, management had to be I know all of you have heard we're talking to pretend to new customers about the travel out. Earlier we showed you read Enterprise Clinic St running on lots of In large part, that's because open shit for has extended management of the clusters down to the infrastructure, you can now see the machines that make up the cluster where machine represents the infrastructure. Thes software operators are responsible for aligning the cluster to a desired state. of Cooper Netease Technologies that have the operational characteristics that Dan's going to actually let us has made the sequel server operator available to me and my team. Okay, so this point we can kind of provisions, And if I scroll to the list, we can see the different workloads Jessica just mentioned Okay, But And the way they all those killers working is Okay, so looks like capacity planning and automation is fully, you know, handle this point. Is the cluster admin right now into the console? This gives a cluster I've been the ability to maintain the operators they've already installed. So this is our products application that's talking to that sequel server instance. So, you know, everyone in this room, you know, wants to see you hit that upgrade button. And that point, the new, softer operator will notice. So glad the team doesn't have to worry about that anymore and just got I think enough of these might have run by Now, if you try your app again Let's see Jessica's application up here. And yet look, we're We're into two before we're onto three. So I'm going to switch this automatic approval. And so I was glad you guys got a chance to see that rolling update across the cluster. And I'll dig into the azure cluster that we were just taking a look at. all you have to do is log in with your red hair credentials to get access. So one console, one user experience to see across the entire hybrid cloud we saw earlier with Red Thanks so much to burn his team. of technology, Rich Hodak. How you doing? center all the way to the edge while being as effective as you have been over of the open hybrid cloud, and now we're going to show you a few more things. You're in the business of oil and gas from the business retail. And this is your crew vanities. Well, that's the one that my team built right here on this stage. Oh, large shirt, you windows. open shift container storage automatically detects the available hardware configuration to What kind of storage would you What, What kind of applications would you use with the storage? four hundred messages for second, the system seems to be performing well, right? Now I am a curious because I know other folks in the audience want to know this too. So you can really use the latest coolest to manage And but I am curious about the azure functions component. and this azure function, you know, Let's see if this will We're going to see the event triggered. So next, Now let's move that note to maintain it. I wanna make sure you understand one thing, and that is there is no underlying virtual ization software here. You know, the events in the event stream changes have started to happen. And if we go to Twitter? All right, we got tweets. No. So we want to bring you a cloud like experience, but this means is I want you to go out there and think about visiting our partner Del and their booth where they have one. Right here, Right now. So, to close the loop, you can have your plaster connected to cloud redhead These clusters get a chance to talk to them about how to run your open shift for on a bare metal Thank you. rail, that the platform has to be developer friendly. Please welcome. What we go you guys trying to accomplish at BP and and How is the goal One of our strategic priorities that we have is to modernize the whole group on. So we're using chlo based technologies And highlight in the skill part of this presentation We're going to meet the type of person that makes And so in the early eighties, welcome Red Hat Certified Professional of the Year Jason Hyatt. So I'd liketo I'd like to present this to you right now. to bring my family here to show the experience. before we leave before we leave the stage, you know, I just wanted to ask, What's the most important So I think the most important thing is you have to be a continuous learner you can't really settle for. And in the one last thing to say, it's everybody in this room and
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Khurshid Sohail & Nish Jani, UPS | Red Hat Summit 2019
(electronic music) >> Presenter: Live from Boston, Massachusetts. It's theCUBE! Covering Red Hat Summit 2019, brought to you by Red Hat (electronic music) >> Welcome back here on The Cube, continuing our live coverage at Red Hat Summit 2019 as we come to a near conclusion of our three days of wall to wall coverage for you here. All the keynotes, it's been and the guests we've had just a lot of fun and certainly an educational opportunity for Stu Menimen and myself and we're looking forward to our next couple of guests here. We have Khurshid Sohail, an application developer at UPS and Nish Jani, a senior application development manager at UPS. Gentlemen, thank you for joining us. We appreciate the time. [Developers] Thanks for having us. >> Presenter: Thank you. And so you have representation on the keynote stage of this morning. UPS did, talking about some of the changes underway there and your Red Hat relationship for those at home who work privy to that. Just to set the stage for in terms of what you're doing with Red Hat and what you're gonna be doing with them as they came up with a couple of releases this week. Nish, if you would? >> Sure. So as you know, UPS is delivering products and services to over 200 countries and from a scalability perspective, we deliver over 21,000,000 packages per day and during our peak season, it grows to over 30,000,000 packages a day, and last year we averaged 200,000,000 tracks a day on our tracking system and last peak we went to 335,000,000 tracks in a single day and that was all built on a new open-shift platform that we developed. >> Just a little bit of data. >> Yeah. >> All right. >> Yeah, you know I love when you talk to, you know, so many customers today who scale and it's like "oh, okay. How many transactions we have." It's like "oh, you talk logistics", you're like oh, okay. You talked a lot of numbers there but when you talk about the driver and how many officers they have and the amount of data that goes in. It's like, okay, how many supercomputers do you have? And you know, hundreds of PhDs solving this. Maybe we're just a little bit in tide, you know, the logistical pieces that go there and how, you know, I mean this is not, you know, a just "Okay, go do your route" as we have in the past. >> Yeah, so from a driver perspective, we've offered services to the drivers that take out the human search for needing to deliver packages. We have an orion system which tells the driver exactly where to go and where to deliver the packages and optimize the routes for them from a visibility perspective which is the products and services Khurshid and I support. The driver is able to do their jobs and deliver their status and deliver packages on time so for our customers, they see an updated status in real time. From a VI perspective, which is our visibility information business engine which was our new platform that we built last year, it was a long journey into the process, part of our digital transformation. We got into the transformation as a need for customers who wanted more out of their products and services that we offered today, and as far as being able to do faster market and provide visibility in a real-time sense. >> Presenter: Yeah. >> We always love when you hear some of these digital transformations. Like okay, you know, I think if UPS does logistics, those were pretty complicated before. >> Absolutely. So, like you needed a digital transformation. Maybe we could start with, you know, what were some of the objectives, what were we, you know, what was holding you back or limited before and you know, let's go to the after when you get through there. >> Sure. So before we were on a monolithic system, a legacy system and the costs per track were very expensive and your to drive new need we needed to redevelop ourselves and redesign ourselves and the way we did that was we transformed by moving away from our traditional waterfall models which typically took six months to deploy new services and we went to within weeks, and the way we did that was to develop agile methodologies and using open-shift we were able to develop and deploy applications more quickly and Khurshid can talk a little bit more about VI application and how it works. >> So pretty much what our goal was to get the old track system off the legacy model off into a containerized, on premise, cloud-based platform. So we successfully accomplished that, essentially 20 years worth of data we did in a year, so we're pretty proud of that, not to toot our own horn, but yeah. We got everything going with open-shift, and a couple of other Red Hat products like AMQ, JBoss, Fuse for AMQ and we also worked like Nish mentioned with the agile methodologies and principles so we were successfully able to create a type of environment for other applications that UPS see as a, you know, kind of a look up to so other applications can see what we've did and they can get themselves over in the same direction. >> Yeah, so can you bring us inside a little bit the organization. Was this a new team that came in? Was there a combination of the new and old? You know, the retraining. >> Yeah, so the team was formed out of some of the old members of the team that knew visibility inside and out. My team done the front-end of UPS.com's tracking application and we've brought in team members that were new and were able to develop the application in a short amount of time. So we've nearly formed a team, we've put together a parallel path from the old system to the new system then we transitioned over and it was seamless to the custom. >> You were talking about customer choice, we were speaking earlier before just about competition, so you have to be extremely responsive to customer needs and my choice is something that comes to my mind that you offer that gives great flexibility to a customer but tremendous complexity I would think to you because you have kind of like an X and a Y, you have a package, you've got a delivery point and now you throw the Z in with a time of day change or location change and to coordinate that so your efficiencies, your fuel efficiencies and route efficiencies are still maintained. And how do you do that in your environment? And whether that's something that Red Hat, is that something that is enabled by the technology that you're deploying of theirs? >> Sure, from a visibility perspective my choice product? have been very successful. We're able to deliver B to C packages to our individual customers or our consignees which help them choose where and when they want their package and also be able to see a delivery time. From a complexity perspective, sure. It adds a ton of complexity because we need to know what addresses to go to and what changes are done to the packages prior to them being delivered. From an open-shift perspective, that's partly going to be our digital transformation to transform that visibility and provide that information and bringing more products and services to those customers and lower latency of time. >> Okay, so containerization is something that's relatively prevalent for the audience here, but it's still relatively young in maturity. Just wondering as you rolled out the solutions, any learnings you had or any, you know, I don't want to say stumbling blocks, but you know, things that you learned along the way that maybe your peers should, could learn for. >> Yeah, I mean, I think you should say stumbling blocks 'cus as anybody knows, whenever you go through anything new there's opportunities to learn and there's monumental opportunities of failure and I think UPS knows and we've pride ourselves in failing fast, learning from our mistakes and getting to the next level. So like you mentioned with containerization and open-shift, the ability for us when we used to deploy every six months, now we get to deploy in two weeks to production and before that we could deploy in a matter of minutes so we could test all these tools and everything that open-shift offers gives us the ability to serve our business and give the most information to our customers. So open-shift and Red Hat have done a great job in helping us reach our maximum potential and we look to continue that partnership. >> Yeah, so was there anything, you know, in that speed to delivery and being more agile that, you know, "Oh jeez, security, "we should have pulled them in sooner." Or you know, so and so should have, but we forgot to include them in the original discussions. >> No, when we went through the transformation of moving the tracking application, we went through all the options and open-shift was just a natural partner, a natural fit. At the time we were going through a proof of concept with the product with another team and as the VI project came along it was just a natural fit to use containerization and use the speed of deployment, automated testing and pipelines in order to deploy this new application. (coughing) >> You used an interesting phrase there, for shit about failing fast and we've heard that a couple of times this week in different flavors. What about the lack of fear and failure and almost like that failure is not always a bad thing because it leads to improvement. But you have to have a certain amount of confidence underpinning that. So talk, I'm just curious from a company culture standpoint, what kind of confidence is there about that failing fast and how technology allows you to make up the ground that you might have lost by failure, especially in today's world, there's so much more capability and so much more at your disposal. >> Yeah, so I may, I think that benefits us and allows us to fail fast is management like Nish and our upper level management, they give us the opportunity to make these mistakes because they know we're going to learn from them and just talking about open-shift and like you said, when we fail, we have to make up that ground. When we make those mistakes the platform that we're on allows us to pivot from that and make it a success story right away. So we noticed that we were able to learn from mistakes quickly and with the help and support of management we were able to implement real-time solutions and deploy them right away. >> Yeah, in addition to that we're able to deploy in a short period of time so we know we're at a minimum two weeks away from the next deployment. So we could quickly restore functionality within minutes or within days if necessary. So, you know, previously we weren't able to do that, so fail fast didn't quite work in the waterfall method. >> So Nish, you know, the VI project has rolled out. What does that mean to your relationship to the business? And also ultimately, how has it impacted your ultimate customers? >> Sure, so from an external customer perspective, obviously we're able to, speed to market products and services faster to our customers and provide better visibility to the customers. From internally in the organization, we've significantly reduced our cost to serve and as we continue to transform on the VI platform using open-shift and partnering with Red Hat, we'll be able to transform other visibility products in the future and going forward we're able to take folks like Khurshid and develop them further and use our skill sets that we've learned and develop our people faster. >> So where do you want to jump in next? I mean, in your world Krashid, I would think that's probably one of the more exciting questions is, you know, what now? What next? Where are we going with this? In terms of your core business, you know, where's the efficiency gain that you'd like to see? Where's the customer service you'd like to improve? >> Yeah I mean, from a business perspective we're always looking to serve our business and bring products to platform that are gonna be useful to the customers. So what we currently have in VI today, we're looking to create more visibility products for our customers and from a technical standpoint, and we were at Red Hat Summit 2019, they've announced some crazy cool things. >> What's the craziest cool thing you've heard this week? >> We're looking forward to open-shift 4, we're looking forward to Cofcus Dreams, and Corcus which is really cool, and just operators, the list goes on and on. I could talk to you about it for days and days. We were here for three days, you got three more days ready? >> Sure. (laughing) Tape is cheap. (laughing) >> Yeah, we're looking forward to a lot of cool things that Red Hat's going to provide and we're gonna run with it. >> Yeah. We're looking forward to continued relationship with Red Hat and offering new products and services that can make our businesses run better. >> Like for example, if you could, if I were to say, a military build a rocket ship right now, you know, what's it gonna look like? What area of your business would you like to literally dabble in and say "Okay, I think this will work." It might right now, look to be a little bit futuristic or down the road, what scenario could you paint possibly to give us an idea about what you're thinking? >> So our next focus to business is to serve up the small and medium business, right? So we've been talking about the modulus product and serving residential addresses and serving residential folks but we want to start focusing on the small and medium businesses and offering the same services and capabilities so our next plateau, our next capability is to provide those services to the small and medium businesses so they can grow and partner with UPS. >> And I think, as Nish mentioned, with the utilizations from Cofcun actually bringing some of these technologies into our containers, bringing more security layers like there's a lot of great vendors here and partnering with them and bringing them into our services, it will open the doors for us a lot, and like Nish mentioned with my choice and small business, I think will allow them a better customer experience with partnering up with some of these new people. >> Presenter: You bet. Well thank you both. Thanks for being here and sharing your time, good to see you. Good keynote this morning as well, so please be sure to pass that along and we look forward to seeing you down the road. >> Developers: Thank you. >> Thank you both. Back with more coverage from Red Hat Summit 2019, you are watching theCUBE live from Boston. (electronic music)
SUMMARY :
brought to you by Red Hat and the guests we've had just a lot of fun And so you have representation and that was all built on a new open-shift platform and how, you know, I mean this is not, you know, and optimize the routes for them Like okay, you know, I think if UPS does logistics, and you know, let's go to the after and redesign ourselves and the way we did that and we also worked like Nish mentioned Yeah, so can you bring us inside from the old system to the new system and my choice is something that comes to my mind and also be able to see a delivery time. but you know, things that you learned along the way and give the most information to our customers. Yeah, so was there anything, you know, in that and as the VI project came along and how technology allows you to make up the ground and like you said, Yeah, in addition to that we're able So Nish, you know, the VI project has rolled out. and as we continue to transform on the VI platform and we were at Red Hat Summit 2019, I could talk to you about it for days and days. Tape is cheap. to provide and we're gonna run with it. We're looking forward to continued relationship or down the road, what scenario could you paint possibly and offering the same services and capabilities and like Nish mentioned with my choice and small business, and we look forward to seeing you down the road. Thank you both.
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theCUBE Insights | Red Hat Summit 2019
>> Announcer: Live from Boston, Massachusetts, it's theCUBE, covering Red Hat Summit 2019. Brought to you by Red Hat. >> Welcome back here on theCUBE, joined by Stu Miniman, I'm John Walls, as we wrap up our coverage here of the Red Hat Summit here in 2019. We've been here in Boston all week, three days, Stu, of really fascinating programming on one hand, the keynotes showing quite a diverse ecosystem that Red Hat has certainly built, and we've seen that array of guests reflected as well here, on theCUBE. And you leave with a pretty distinct impression about the vast reach, you might say, of Red Hat, and how they diversified their offerings and their services. >> Yeah, so, John, as we've talked about, this is the sixth year we've had theCUBE here. It's my fifth year doing it and I'll be honest, I've worked with Red Hat for 19 years, but the first year I came, it was like, all right, you know, I know lots of Linux people, I've worked with Linux people, but, you know, I'm not in there in the terminal and doing all this stuff, so it took me a little while to get used to. Today, I know not only a lot more people in Red Hat and the ecosystem, but where the ecosystem is matured and where the portfolio is grown. There's been some acquisitions on the Red Hat side. There's a certain pending acquisition that is kind of a big deal that we talked about this week. But Red Hat's position in this IT marketplace, especially in the hybrid and multi-cloud world, has been fun to watch and really enjoyed digging in it with you this week and, John Walls, I'll turn the camera to you because- >> I don't like this. (laughing) >> It was your first time on the program. Yeah, you know- >> I like asking you the questions. >> But we have to do this, you know, three days of Walls to Miniman coverage. So let's get the Walls perspective. >> John: All right. >> On your take. You've been to many shows. >> John: Yeah, no, I think that what's interesting about what I've seen here at Red Hat is this willingness to adapt to the marketplace, at least that's the impression I got, is that there are a lot of command and control models about this is the way it's going to be, and this is what we're going to give you, and you're gonna have to take it and like it. And Red Hat's just on the other end of that spectrum, right? It's very much a company that's built on an open source philosophy. And it's been more of what has the marketplace wanted? What have you needed? And now how can we work with you to build it and make it functional? And now we're gonna just offer it to a lot of people, and we're gonna make a lot of money doing that. And so, I think to me, that's at least what I got talking to Jim Whitehurst, you know about his philosophy and where he's taken this company, and has made it obviously a very attractive entity, IBM certainly thinks so to the tune of 34 billion. But you see that. >> Yeah, it's, you know, some companies say, oh well, you know, it's the leadership from the top. Well, Jim's philosophy though, it is The Open Organization. Highly recommend the book, it was a great read. We've talked to him about the program, but very much it's 12, 13 thousand people at the company. They're very much opinionated, they go in there, they have discussions. It's not like, well okay, one person pass this down. It's we're gonna debate and argue and fight. Doesn't mean we come to a full consensus, but open source at the core is what they do, and therefore, the community drives a lot of it. They contribute it all back up-stream, but, you know, we know what Red Hat's doing. It's fascinating to talk to Jim about, yeah you know, on the days where I'm thinking half glass empty, it's, you know, wow, we're not yet quite four billion dollars of the company, and look what an impact they had. They did a study with IDC and said, ten trillion dollars of the economy that they touch through RHEL, but on the half empty, on the half full days, they're having a huge impact outside. He said 34 billion dollars that IBM's paying is actually a bargain- >> It's a great deal! (laughing) >> for where they're going. But big announcements. RHEL 8, which had been almost five years in the works there. Some good advancements there. But the highlight for me this week really was OpenShift. We've been watching OpenShift since the early days, really pre-Kubernetes. It had a good vision and gained adoption in the marketplace, and was the open source choice for what we called Paths back then. But, when Kubernetes came around, it really helped solidify where OpenShift was going. It is the delivery mechanism for containerization and that container cluster management and Red Hat has a leadership position in that space. I think that almost every customer that we talked to this week, John, OpenShift was the underpinning. >> John: Absolutely. >> You would expect that RHEL's underneath there, but OpenShift as the lever for digital transformation. And that was something that I really enjoyed talking to. DBS Bank from Singapore, and Delta, and UPS. It was, we talked about their actual transformation journeys, both the technology and the organizational standpoint, and OpenShift really was the lever to give them that push. >> You know, another thing, I know you've been looking at this and watching this for many many years. There's certainly the evolution of open source, but we talked to Chris Wright earlier, and he was talking about the pace of change and how it really is incremental. And yet, if you're on the outside looking in, and you think, gosh, technology is just changing so fast, it's so crazy, it's so disruptive, but to hear it from Chris, not so. You don't go A to Z, you go A to B to C to D to D point one. (laughing) It takes time. And there's a patience almost and a cadence that has this slow revolution that I'm a little surprised at. I sense they, or got a sense of, you know, a much more rapid change of pace and that's not how the people on the inside see it. >> Yeah. Couple of comment back at that. Number one is we know how much rapid change there is going because if you looked at the Linux kernel or what's happening with Kubernetes and the open source, there's so much change going on there. There's the data point thrown out there that, you know, I forget, that 75% or 95% of all the data in the world was created in the last two years. Yet, only 2% of that is really usable and searchable and things like that. That's a lot of change. And the code base of Linux in the last two years, a third of the code is completely overhauled. This is technology that has been around for decades. But if you look at it, if you think about a company, one of the challenges that we had is if they're making those incremental change, and slowly looking at them, a lot of people from the outside would be like, oh, Red Hat, yeah that's that little Linux company, you know, that I'm familiar with and it runs on lots of places there. When we came in six years ago, there was a big push by Red Hat to say, "We're much more than Linux." They have their three pillars that we spent a lot of time through from the infrastructure layer to the cloud native to automation and management. Lots of shows I go to, AnsiballZ all over the place. We talked about OpenShift 4 is something that seems to be resonating. Red Hat takes a leadership position, not just in the communities and the foundations, but working with their customers to be a more trusted and deeper partner in what they're doing with digital transformation. There might have been little changes, but, you know, this is not the Red Hat that people would think of two years or five years ago because a large percentage of Red Hat has changed. One last nugget from Chris Wright there, is, you know, he spent a lot of time talking about AI. And some of these companies go buzzwords in these environments, but, you know, but he hit a nice cogent message with the punchline is machines enhance human intelligence because these are really complex systems, distributed architectures, and we know that the people just can't keep up with all of the change, and the scope, and the scale that they need to handle. So software should be able to be helping me get my arms around it, as well as where it can automate and even take actions, as long as we're careful about how we do it. >> John: Sure. There's another, point at least, I want to pick your brain about, is really the power of presence. The fact that we have the Microsoft CEO on the stage. Everybody thought, well (mumbles) But we heard it from guest after guest after guest this week, saying how cool was that? How impressive was that? How monumental was that? And, you know, it's great to have that kind of opportunity, but the power of Nadella's presence here, it's unmistakable in the message that has sent to this community. >> Yeah, you know, John, you could probably do a case study talking about culture and the power of culture because, I talked about Red Hat's not the Red Hat that you know. Well, the Satya Nadella led Microsoft is a very different Microsoft than before he was on board. Not only are they making great strides in, you know, we talk about SaaS and public cloud and the like, but from a partnership standpoint, Microsoft of old, you know, Linux and Red Hat were the enemy and you know, Windows was the solution and they were gonna bake everything into it. Well, Microsoft partnered with many more companies. Partnerships and ecosystem, a key message this week. We talked about Microsoft with Red Hat, but, you know, announcement today was, surprised me a little bit, but when we think about it, not too much. OpenShift supported on VMware environments, so, you know, VMware has in that family of Dell, there's competitive solutions against OpenShift and, you know, so, and virtualization. You know, Red Hat has, you know, RHV, the Red Hat Virtualization. >> John: Right, right, right. >> The old day of the lines in the swim lanes, as one of our guests talked about, really are there. Customers are living in a heterogeneous, multi-cloud world and the customers are gonna go and say, "You need to work together, before you're not gonna be there." >> Azure. Right, also we have Azure compatibility going on here. >> Stu: Yeah, deep, not just some tested, but deep integration. I can go to Azure and buy OpenShift. I mean that, the, to say it's in the, you know, not just in the marketplace, but a deep integration. And yeah, there was a little poke, if our audience caught it, from Paul Cormier. And said, you know, Microsoft really understands enterprise. That's why they're working tightly with us. Uh, there's a certain other large cloud provider that created Kubernetes, that has their own solution, that maybe doesn't understand enterprise as much and aren't working as closely with Red Hat as they might. So we'll see what response there is from them out there. Always, you know, we always love on theCUBE to, you know, the horse is on the track and where they're racing, but, you know, more and more all of our worlds are cross-pollinating. You know, the AI and AI Ops stuff. The software ecosystems because software does have this unifying factor that the API economy, and having all these things work together, more and more. If you don't, customers will go look for solutions that do provide the full end to end solution stuff they're looking for. >> All right, so we're, I've got a couple in mind as far as guests we've had on the show. And we saw them in action on the keynotes stage too. Anybody that jumps out at you, just like, wow, that was cool, that was, not that we, we love all of our children, right? (laughing) But every once in awhile, there's a story or two that does stand out. >> Yeah, so, it is so tough, you know. I loved, you know, the stories. John, I'm sure I'm going to ask you, you know, Mr. B and what he's doing with the children. >> John: Right, Franklin Middle School. >> And the hospitals with Dr. Ellen and the end of the brains. You know, those tech for good are phenomenal. For me, you know, the CIOs that we had on our first day of program. Delta was great and going through transformation, but, you know, our first guest that we had on, was DBS Bank in Singapore and- >> John: David Gledhill. >> He was so articulate and has such a good story about, I took outsourced environments. I didn't just bring it into my environment, say okay, IT can do it a little bit better, and I'll respond to business. No, no, we're going to total restructure the company. Not we're a software company. We're a technology company, and we're gonna learn from the Googles of the world and the like. And he said, We want to be considered there, you know, what was his term there? It was like, you know, bank less, uh, live more and bank less. I mean, what- >> Joyful banking, that was another of his. >> Joyful banking. You don't think of a financial institution as, you know, we want you to think less of the bank. You know, that's just a powerful statement. Total reorganization and, as we mentioned, of course, OpenShift, one of those levers underneath helping them to do that. >> Yeah, you mentioned Dr. Ellen Grant, Boston Children's Hospital, I think about that. She's in fetal neuroimaging and a Professor of Radiology at Harvard Medical School. The work they're doing in terms of diagnostics through imaging is spectacular. I thought about Robin Goldstone at the Livermore Laboratory, about our nuclear weapon monitoring and efficacy of our monitoring. >> Lawrence Livermore. So good. And John, talk about the diversity of our guests. We had expats from four different countries, phenomenal accents. A wonderful slate of brilliant women on the program. From the customer side, some of the award winners that you interviewed. The executives on the program. You know, Stefanie Chiras, always great, and Denise who were up on the keynotes stage. Denise with her 3D printed, new Red Hat logo earrings. Yeah, it was an, um- >> And a couple of old Yanks (laughing). Well, I enjoyed it, Stu. As always, great working with you, and we thank you for being with us as well. For now, we're gonna say so long. We're gonna see you at the next Red Hat Summit, I'm sure, 2020 in San Francisco. Might be a, I guess a slightly different company, but it might be the same old Red Hat too, but they're going to have 34 billion dollars behind them at that point and probably riding pretty high. That will do it for our CUBE coverage here from Boston. Thanks for much for joining us. For Stu Miniman, and our entire crew, have a good day. (funky music)
SUMMARY :
Brought to you by Red Hat. about the vast reach, you might say, of Red Hat, but the first year I came, it was like, all right, you know, I don't like this. Yeah, you know- But we have to do this, you know, You've been to many shows. And Red Hat's just on the other end of that spectrum, right? It's fascinating to talk to Jim about, yeah you know, and Red Hat has a leadership position in that space. and OpenShift really was the lever to give them that push. I sense they, or got a sense of, you know, and the scale that they need to handle. And, you know, it's great to have that kind of opportunity, I talked about Red Hat's not the Red Hat that you know. The old day of the lines in the swim lanes, Right, also we have Azure compatibility going on here. I mean that, the, to say it's in the, you know, And we saw them in action on the keynotes stage too. I loved, you know, the stories. and the end of the brains. And he said, We want to be considered there, you know, you know, we want you to think less of the bank. Yeah, you mentioned Dr. Ellen Grant, that you interviewed. and we thank you for being with us as well.
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Joe Fitzgerald, Red Hat | Red Hat Summit 2019
>> Announcer: Live from Boston, Massachusetts, it's theCUBE, covering your Red Hat Summit 2019, brought to you by Red Hat. >> Well, good afternoon, welcome back here on theCUBE. As we continue live coverage from Boston. We're at Red Hat Summit 2019. I'm John Walls along with Stu Miniman. It's been so good to have you here for all three days of our exclusive coverage of this exciting event, great event it's been. We're joined by Joe Fitzgerald who's the VP of and GM management business unit at the Red Hat. Joe, good to see you sir. >> Good afternoon. >> Pleasure, thanks for having us here at this, and it's been a great show. I hope the same can be said from your side of the fence. I'd like to hear about that. we're talking earlier but announcements and whatever. Tell me, what's your feel for the flavor, what happened here, and all that you've heard in terms of the keynotes stage and some of the big news. >> It's really that I am a great bunch here. I mean we really had some big announcements. My area of management automation really complements the platform announcements that we made. As people are deploying stuff across really complex environments and multi clouds, management automation like becomes really important for them to keep all that running and compliance secure. So I'm pretty excited that my area was able to compliment the platform offerings that we announced in a really big way. >> Now, you look now you look ahead to the road coming, right? So this is new world, great opportunity, great challenge, but it I would think you guys a pretty jazzed about being central to that right? And becoming this kind of a new layer, new part, and new piece of that equation. >> Yeah, Red Hat's really, you know, at a key point in terms of IT infrastructures and what people are doing. You can definitely feel the excitement in our customers, in our partners that what they're trying to build and this is not the end, this is really the beginning of where everybody's going. I mean, really, the open chips announcements we made these are platforms that people are building the future on. So this story is really got a long way to go, right, and there is just a tremendous amount of excitement. We're really on the front edge of what people building, how they're digitally transforming their business. And they're building that stuff on our platform which is really exciting to see. >> So, Joe, you know when we look at some of the big themes we've been talking about here at the show, you know you mentioned some of the big announcements, but you know, the world is more heterogeneous and more complex than it ever was in a multi-cloud environment. And therefore if I look at management specifically, you know, we know in the IT industry it's been something that for decades we've been trying to talk about. How do I simplify things? When I talk to my friends that are admins, you know the joke is, how do you spell single pane of glass? You know P-A-I-N, never what you would think it would be. So, explain how in you know in this ever complex, multi-cloud environment, you know Red Hat is helping to progress the journey of management? >> Sure, so it's an area that is near and dear to me. So every time there is these great technological innovations, the platform, or the application, or the process level. There is a secondary effect which is the management changes, the physics of the environments change. And then the management has to adapt to those new physics. So as people are taking advantage of all these great new public cloud services, and private cloud services, and hyper clouds, and multi-cloud. The management complexity of trying to manage something that is now distributed across all different platforms and all kinds of management tools and interfaces and each one of those platforms. Somebody has to sort that out where that will become a barrier, to people trying to leverage that to advance their business. So Red Hat, is sort of in an interesting place, at the crossroads of things like analytics and automation, to help bring some technology innovations to helping to manage these really complex environments. >> You know, so, can you just put in a framework for us because if we say there are so many pieces of the stack and so many distributed environments, there have been management tools that have become central to administrator roles. You know, I think of if I'm a network person, there's you know certain company that is rather dominant in the space. Same thing when it came to server virtualization and today the multi-cloud where every public cloud has their own dashboards. You know, and the data center there are lots of tools so, you know, where does Red Hat fit in that overall picture? And you know, what would be different than people that know Red Hat from just a few years ago? >> Sure, so I think you know, Red Hat's philosophy of open hybrid is really key even in management. You know, each platform sort of has invested interest in sort of trying to lock you in and providing set of tools that selfishly manage their stuff but nobody else's stuff. Red Hat is really in the business about enabling hybrid cloud and hybrid applications across these clouds. And so what that means is that we have to provide management that enables them to cross those clouds and manage in a comprehensive, unified way. And a lot of management innovation is taking place in open, just like most other innovations. So some of the open innovation technologies like Ansible for example, right have like incredible growth in the community, and the kinds of automation we can do across all these clouds and across layers of the stack, totally in an open source solution is really amazing. >> So you talk about hybrid and you're talking about management and smart management in way here, but that seems to me like that should just come with the territory right? We're going to make you smart and we're going to have you, give you better tools to make sure that you have your efficiencies and your operations, and everything is going just as it should. Like that's like, duh. But yet, it's much more than that, I like curious about your perspective on truly what defines smart management, and how that comes into practice? >> Yeah so, smart management for us means an easy way for people to manage a state of systems that deployed across all these different kinds of clouds. Private, public, physical, virtual environments, it gets very complicated. And it sounds like it should be easy, right, to make smart management, but it's really hard to make something easy, when you have the level of complexity that all these environments sort of extrude, right? So it's hard, right? And what you've seen over the decades is that as the paradigms change, management technologies change along he way, right? So we're in the middle of sort of a paradigm shift in terms of how people think of automation. The speed, scale, and complexity of these environments is so high now, that you certainly can't do it with people. You know, following things around. You know, the speed at which vulnerabilities need to be addressed, or the way that things need to be deployed, or scaled up or down, or managed, it defies people running around. So it all has to be automated. You're seeing a lot of other technologies like analytics and AI type technologies being applied to take all the data from these environments, figure out what's going on and then turn around and drive automation into those environments. >> So, Joe, when I look at the keynote there is something that jumped out at me. You were talking a lot about the, going to cloud.redhat.com. They started out with a windows interface, which you know Satya Nadella is up on stage, but still being at the linux conference here is that the core underneath everything. You know, sure it's going mobile and you want to make sure everyone can do it, but, you know, maybe talk a little about the importance of, you know, working even from a windows standpoint and part of the overall SAS delivery model for how management works today. >> Yeah, so I think there's a couple things going on. First of all, you know, certainly in our consumer lives we're used to ease of use. You know, very simple interfaces whether that's voice, or mobile, or whatever it is. We need things fast and we need things easy. Okay, that crosses over into the management realm as well. Okay, we need to make things frictionless. We need to really take the time and the cognitive load off people trying to manage these environments. Okay, so what you saw in our announcements across the board was this, reduction of fiction, this ease of use, the simplicity in the way you build, deploy, and manage use these systems. Okay, which allows people to focus not on the task of build the infrastructure, which is very interesting, but actually advancing their business needs. You know, writing that next application, or scaling it, or you know, making changes to compete at speeds that you really couldn't do before because of the manual impediments and all the process changes. >> And how are the pressures changing, from the management side of the fence? Because of the volume of data, the number of transactions that are occurring, just that shear scope to me, puts a whole different kind of onus on the responsibility to make sure these processes are occurring naturally, and accurately. You got on one hand you're making some really big promises about how secure this environment is going to be, how effective it's going to be, and now you got to back that up. So it seems like you're shine, or at least your side of the fence, shining a little brighter light and putting a little burden on the backs of your tools and your folks. >> Well, so we're leveraging technologies. So for a case of, you know, of managing and securing these environments, using things like analytics. Like one of the things we announced this week was the ability with our Red Hat insights offering now which is bundled with RHEL, to be able to analyze these environments and figure out whether they have vulnerability, or performance, or reliability issues ahead of time predictively. And then be able to automatically address it and remediate it, that's really powerful. That saves somebody running a report to see which systems might have vulnerabilities and then trying to figure out what to do with that , and then scheduling some jobs to go fix some stuff, and meanwhile somebody has been going in their network or going into their systems quite some time. >> Right. >> So it's all that speed and leveraging technology that help do these things. >> All right so, Joe, glad you brought up analytics. Let's go back to that discussion of automation and Ansible. Help connect us the dots, you know, is there, I haven't heard like AI and ML. You know maybe Red Hat is trying to make sure they don't AI wash things too much, but where does analytics fit into automation these days? So, the future, I think is basically you know, we have a lot of data from these environments and all different levels of everything from the hardware, to the software, to the clouds, the apps, the usage patterns and things like that where a wash in data. Okay, so everybody is trying to bring analytics to things like their business, or bring it to things like infrastructure and things like that. There's an explosion of analytics use across, you know, every industry vertical, across technology. I see analytics coming up with tremendous insights into what's going on into environment or business. The next thing after that will be, I need to change something, or fix something, or scale up or down, or optimize, or do something. That backs into automation. So I think that, you know things like Ansible, are a natural to plug into analytic systems that come up with incredible insights, or actions that need to be taken. What's a standard way I can do that automation? Ansible would be my answer. >> Yeah so, you know, when I read some of the other analysts in the industry look at this space, they float out this term AIOps. Do you agree with that terminology? Is that fit into the framework you were just talking about? If not just taking the data, but being able to have that automation take action? >> Yeah so, I think it's a direction, you know, I think, you know, in the news recently there's been automation gone wrong. You see it occasionally where automation, if it's not, you know, doesn't have the right sort of checks and balances can do bad things really fast. Just like it can do good things really fast. So, I think that there's sort of a crawl, walk, run, for a lot of these things. Where people say, okay, you have this result from analytics or AI, it's recommending an action, let me confirm that, and I'll go ahead and take the action. Overtime people become more comfortable with these closed looped systems and then just say, okay, you know what you're doing there, go ahead and automate that. They can move on to a higher level, you know, function. >> Just one follow up on that, you know, RPA is something we've been taking a look at. It's a hot space and getting a lot of development. Are there any connections between what Red Hat's doing and the ecosystem with some of the RPA solutions out there? >> So it's sort of adjacent to the RPA space. You know, this year I would say automation is at the top of most enterprises list. And you know it's a spectrum of automating their traditional, sometimes legacy processes, to squeeze cost out. So they can move some of those people and some of that money to do their differentiating digital transforming, you know, applications, that are going to put them ahead of their competitors. Right, so we're seeing automations replace old tools that they have for perhaps, you know a decade or more, to the front edge where they're using our tools and you know devops tool chains to deploy things multiple times a day. Right? So, automation across the board I think is a high priority for enterprises right now. >> Can you make this easier for me? If you're writing all this great insight, right, and predictive analytics and but I've got data coming in from all kinds of places. And all of a sudden I've got to go find all these reports right? I've gotta, can you consolidate at all? Can you simplify my search if you will, or make my job of monitoring any easier just because maybe I have a lot more data coming in that I'm used to? I might want it a little more simplified, or at least laid out so it is a little clearer for me. >> Well I think there is two things going on. On the data side we're putting a lot more, you know, software in place to evaluate data and to get insights out of the data. Okay, on the automation side, you know, as we were talking about management tools over the years, there's been scripting languages and programming languages. And automation was really almost a programming exercise. One of the things that we've done in the Ansible environment is we sort of democratized automation. In other words, we made it easy for non-programmers to be able to do automation. So now I don't have to get programmers, which are expensive, and in short supply these days to write automation. I can expand that to ops teams and QE teams and I can democratize automation. So I think the physics there are putting more software, analyzing data, deriving insights. Whether that's machine learning, or full AI, or simple linear regression, and some other techniques, to get out of the data what's going on, and then turn that into actionable automation. >> Well congratulations to the Red Hat team. Good week. The summit I'm sure it went well for you as well and job well done, and good luck down the road. I know you've got your hands full now, but it's a good kind of full right? >> It's an exciting time to be at Red Hat and thank you very much. >> You betcha, thank you. Back with more from Red Hat Summit 2019. You're watching theCUBE. (upbeat techno music)
SUMMARY :
brought to you by Red Hat. It's been so good to have you here I hope the same can be said from your side of the fence. to keep all that running and compliance secure. but it I would think you guys a pretty jazzed Yeah, Red Hat's really, you know, at a key point So, explain how in you know in this ever complex, Sure, so it's an area that is near and dear to me. And you know, what would be different than people that know Sure, so I think you know, Red Hat's philosophy We're going to make you smart and we're going to that you certainly can't do it with people. maybe talk a little about the importance of, you know, in the way you build, deploy, and manage use these systems. on the responsibility to make sure these processes So for a case of, you know, of managing and securing So it's all that speed and leveraging technology that help and all different levels of everything from the hardware, Is that fit into the framework you were just talking about? They can move on to a higher level, you know, function. and the ecosystem with some of the RPA solutions out there? and you know devops tool chains to deploy things And all of a sudden I've got to go find Okay, on the automation side, you know, The summit I'm sure it went well for you as well and thank you very much. You betcha, thank you.
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Alois Reitbauer, Dynatrace | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the queue covering your red. Have some twenty nineteen brought to you by bread hat. >> Well, good afternoon. Where you might be watching us here on the Cube. We are live in Boston. Is we wrap up our coverage headed toward the homestretch? You might say of Red had Summit twenty nineteen. Want was to Mittleman. I'm John Walls. And thank you for joining us here. We're now joined by Ah, Louise, right. Bower, who was the vice president and chief technical strategists and head of innovation lab at Dinah Trees. And always good to see you today. Thanks for being with us. Hello. Thanks for having me s O software intelligence that that's your your primary focus. You've got headquarters here in the Boston area back in Austria. Tell a little bit about it. You would, Dina Trace. And I guess first off, what this news this week has met to you in terms of the release is and then maybe what you're doing in general. You know what Dina Trace is all about? >> Yes. Oh, that phrase has been around for, like quite a time. Started out as an a P M. Company. like fourteen years ago have been reinventing ourselves over and over again on DH. So we move from the traditional monitoring approach. So the innovation we had in the very beginning when we launched the first product was really would be practical, pure passer. The ability trace and went that way a lot about facing racing, like becoming super cool for micro services. So it would be like the first teacher we could be burying, doing, tracing before it was cool, like forty, fifty years ago. And then I was were involving the product more, more Skilling into bigger and bigger environments. So what's bigger and bigger mean? I remember in the beginning when we were working on environments who we're talking about, like one hundred host has a big environment like five hundred told that that's a big environment today, we say, for even one hundred thousand toast. Okay, it's a big environment, but they can't get even bigger then. The massive change was really for us five years ago, where way implemented our entire product offering, built the new Dina trays, Mr Focus, that we realize that okay, it's data and between people date and having them analyzed data is nice, but it's only getting you so far. So the more complex the replication get, more data you get to analyze. And it's just more exponentially scaling how many people you would need to deal with this. And that's why five years ago, we started to incorporate a I into our new court platform, then for automatic problem analysis. That's also where we're not just BPM. That's just what we call like the Dogg Tools data on glass tools to show a lot of data. Do some analysis on top of it. But it don't help you, too, really resolve a problem. So we used build in the eye, and that automatic would cause analysis again. Next teacher doing Aye, aye ops, affordable school like five years ago. Andi. The latest evolution. We also so again, and not a change in the way people are using monitoring tools. Um, we've invested a lot into building out in AP eyes don't see monitoring tools like be the Martin still here and the application over there, but having them monitoring who being highly integrated into the fabric fire eyes. So we have, As of today, eighty percent of our customers are using the product also via reprise, but tying them into operational automation. What we heard even today in the keynote here about a ABS and Howie iop starts to control and manage that form. More is becoming the intelligence or the back plane behind a modern native stack. >> So we have Chris right on. Who was in the keynote this morning? Came on our program this morning, too, when we talked about just the rippling effects of distributed architectures. I look at my applications there, you know, going to micro service architectures. You look at where's customers data? Well, lots of stuff all over the clouds and sass, and that has a ripple. Effect it to your space. You know, I hear observe, ability monitoring, you know, hack even bring up, like, you know, the civilised world. It becomes a whole separate meeting. So Donna Trace has been going through a transformation. You know, give >> us a >> point check ins to you know, where your customers are, how you're helping them move through this modernization and, you know, move to distributed architectures where that fits in >> so that their customers we focus on mostly are like Fortune five hundred customers who we work with. And obviously they have everything that exists on the planet. When we talk about self for like even from the mainframe to cloud native to serve less, as you mentioned here. And they were in this transition process right now, like modernizing their applications, which, as a necessity, we all want to move fast. There we want therefore flexible architects is we want to build more enough innovative products but at the same time to realize that this is also a message business risk behind following this approach. Think about you in the role of the CEO and say where we're going to modernize our architecture. We're going to rebuild everything we platform and so forth. You can if you succeed. Everybody would say you had. Yes, you did what you had to do. I mean, sorry if you failed, you failed. It's s so for them, it's a It's a big risk to move down that route and retired to take that risk out of the process as much as possible. Really Starting, obviously was monitoring their traditional sex, as they have to today, but really supporting that along that entire journey to a cloud native architecture er, starting with what we referred to as our support for monoliths to micro service architecture's. So Theodore is basically you don't want to rip apart the replication and figure out how it's going to work in my purse services world. But we have to technology that's called smart scape smart. Skip Moelis bills a real time, all of your entire data center and old applications running into it. And it was virtually that sect. You're marvelous, you came. How would they look like in a microt services architecture without catching any codes and then making it work? So once you've done this once, you've decided to move there the next step? Obviously, yes, you could have rebuilt that application. Usually we see applications with micro services architectures being significantly Mohr complex or more distributed by the sign that a traditional that you might have Web server application, Teo Database Server. Now you might be talking about maybe two hundred micro services or more so twenty times ranges. Writer on this under under lower bound here, which means that your traditional operational approach up okay, it's either the database of observer. The application server doesn't work anymore. on top of this. You did all of this to deploy fast. Like for like, bi weekly releases, even maybe daily off, like a smaller granularity. So you were reading a lot of entropy to that system and you have to analyze way more data. Did he ever had to do before? And this is where we kind of getting to the level where theoretically humans could do it. But it would just take us too long where the Holy I ops capability come in where we let let the machines that a monitoring tto take care of it at that level. So we helping them to operation US thieves processes and then really supporting them along the whole journey, where every customer we talked like this vision. But we're also here today in the keynote of an autonomous cloud and with carbonated, we already made a great step in this direction, looking at the interest, actually, like today say, I need five replicas off this container. I don't know, given that it's does it open shift and specifically here, it's going to happen. But if we move to the application layer is a lot, that has to be done and it has to make it easier for people to do. And that's where we tied into the entire customers. Ecosystem toe, automate like their cloud environment and have actually built a practice around which we call autonomous cloud management that we have been working with with customers on to enable them to achieve this over time. But it's going to be a lot maturity there. >> Yes, I mean, so what it talked about that you know, a CIA autonomous cloud management. What exactly you know, is that and how are you bringing that to your customer >> base? Autonomous Cloud Management resulted out off two different areas. The first one was when we were implement re implementing our platform. What I mentioned before, one step for us was to move to the SAS platform, and we looked at all the operation practices that were around back then, you know, we don't want to tell the doc I really don't want to do it. Like having people twenty four seven look at dashboards, then goingto a wicky, then reading a description of how to fix the problem. If you're the engineer, that why why do we do this this way? Must make any sense. So we developed our own practice, which we referred to as no wops. I know it doesn't mean that you're not doing operations. That would be pretty crazy, but not doing this traditional Naga type of operation, sitting there staring at a screen twenty four seven and then mentally executing any operation. So we had our own practice that we've built around it and, quite frankly, which has spilled it because we needed it for ourselves, and then we kept talking to customers and partisan, he says. Really cool what you did there like, Oh, how did you do this? What's like yourself? Respect behind this and what does the practices? What do your process? What's the culture change? So we were engaging with some customers, and then we were seeing that some of our customers back then, even we're doing bits and pieces off. This isthe well because there's a lot of practice and a lot of knowledge around. How did the autonomous count management and at the same time that we talked about the other customers who not yet on a charity who definitely want to get there? But I'm not quite sure how to do it, and I don't want to figure it out themselves. So we thought, Okay, let's take all of these best practices that we have and build more or less a methodology around it. How to make this actually works like how to do this. We really broke it down into, like, individual sprints to distance sprint one that distance sprint to to really have the results within three months, six months, twelve months. Whatever the cases that you want to run on. And then we realised talking to customers. This by itself isn't still enough. So that's why we started to open up this to an entire ecosystem. So WeII brought ecosystem partners along, like working closely with read a lot of our companies, but also system integrators who can help us. We speak of projects because we as a company, our software companies were not a services are consulting company, and we do support customer that some of those engagement. But if you think of like a really Fortune five hundred company that's a multi approaches, it will keep hundreds of people busy. So to recap like built in methodology, we built ecosystem to deliver on that promise at scale. And now the last step was we were doing this. We also built like a reference architecture for it, and I was just in an eternal ideas. So how do we, like structure this building reference architecture and then realized Okay, It's kind of like super helpful for customers. So that is why we don't decided to open source this reference architecture this fabric as well, too, like the tires after community, so they can also use it. So technically, stability is three pieces. It's the methodology, it's the ecosystem. And it's like the reference architecture that you can work with to help you, Chief. Go. >> All right, um, tell us how your a I fit into this. I've heard some analyst firms are saying, you know, some of the next generation of your space could be a I ops. Do you consider yourselves moving in that direction, or do you have some counter view on that? >> I think today a lot of things ar e I upset my now b a i ops, and it's a very undefined goal. This mentioned earlier. We decided to have aye aye based algorithms as powerful platform five years ago and nobody back then was talking about the layoffs. Funny story. Some of our competitors even told us you can't use the eye for monitoring just like totally stupid that there are other companies that they were doing it. But again, so the whole industry is learning here. I think it's really about data analysis. If you look at, if you scare the bigger and bigger environment, you really have to look at the process off what human operations people are doing on. There's obviously some hard decisions that you have to take their have. You have to work with teams to resolve our problems. But the biggest portion is really data analysis interpretation, right and a lot of this can be put into, and a I component that doesn't What's the Dyna trees, eh? I does it more. This is like your saree in codes, so to speak, which is able to find what's broken in the education, what was related to an issue in the application and being able to automatically find the root cause. Very importantly, we're kind of like opinionated and how in a I for operational practices should be working because one thing you don't want it serious you want? Don't want it happening. Iop system tell you well, you should. We start this service because some neural and that were told to do so. That's a building, a lot of confidence. That's why our approach is really tio follow. Like what we call a deterministic a pia a sari. And hey, I did it able to explain back to the user White came to a certain conclusion. So why should their we sort this herb is west of the rollback, this deployment or why that's the I b. Believe that if I fixed this problem, then like the bigger problem will be solved. So that's our approach, Teo T. I actually started like, roughly four years ago, five years ago, even a bit more than that on you. And I think that have a lot of experience, really rolling it out its scale and seeing it will help people because the next the ultimate next question, without always Scott Wass. If you wanna know what the problem is, why don't you fix it? And that's exactly the conversation you want to have, maybe just briefly at here, because it usually comes up okay, f a I and isat replacing people's jobs? I don't think so. We also heard it in the keynote today from Chris. It's augmenting our capabilities. There's hard decisions that you have to take, but just going through tons and tons of data. It's not going to your isn't very often when we talked at operations team or almost every time. First of all, you can't hire enough people anyways to get all the old done that's on your plate. Secondly, um, just by the amount of data and the time that I had to react. It's just long with a human understanding scenario way. Do this demo on self healing, often application. Where were deployed, something broken into production and have it being rolled back and we can do fifty one seconds. No human can do it that fast. That's just what pure, softer automation can do for you. So I think that then you can focus on other areas and more important, new project with us people in on the off space. What's what the three projects that you want to work and you never have time to work out and usually come up with the list. Yet this is what we give you back that time to work on exactly the things that move your business forwards. You >> said fifty one seconds. You've never seen Stew in action. You still have a lot of confidence. >> Well, we we love the machine, enhance human intelligence. You're definitely We could all use those machines to help us all get away from the drudgery and be able to do more. >> Always safe travels. Thanks for being with us. Headed back to Austria. Say, hide all your folks back in Austria, right There always is on his way home on his way to the airport. Thank you for being with us here on the Cube. Thanks. Appreciate the time our coverage continues here. Red hat some twenty nineteen. You're watching the cube?
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Have some twenty nineteen brought to you by bread hat. And always good to see you today. So the more complex the replication get, more data you get to analyze. You know, I hear observe, ability monitoring, you know, hack even bring up, from the mainframe to cloud native to serve less, as you mentioned here. Yes, I mean, so what it talked about that you know, a CIA autonomous cloud management. And it's like the reference architecture that you can work with to I've heard some analyst firms are saying, you know, some of the next generation of your space could be a And that's exactly the conversation you want to have, maybe just briefly at here, a lot of confidence. Well, we we love the machine, enhance human intelligence. Thank you for being with us here on the
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Marco Bill-Peter, Red Hat & Dr. Christoph Baeck, Hilti | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the queue covering your red. Have some twenty nineteen brought to you by bread. >> Welcome back to the Cube. Continuing coverage here read. Had some twenty nineteen day three of our three days of covering some nine thousand attendees, great keynotes, great educational sessions and a couple of great guests for you to meddle. And John Walls were joined by Marco Bill Peter, who is the senior vice president of customer experience and engagement at Red Hat. Good to see you, Marco. Thanks for having the job on the keynote stage this morning. And Dr Christoph back, who was the head of infrastructure from Hilty and Christof. Thank you for being here is Well, thankyou. Hailing from from election Stein. And we think you're the first guest alum were to check our database, But But we've set a new record today. So thanks for adding to our having. First off, let's talk about Hilty. I'm sure people don't stay healthy. I've seen them, but this building probably wouldn't be here without you. Have imagined half the city wouldn't be here without you. But just tell folks at home a healthy a little bit about where you fit into the construction. >> Lt was founded in the nineteen forties in principality of a Lichtenstein as and is now today leading supplier for the construction industry. We provide tours, consumables, services and software solutions for professional construction companies. Daddy's from hammer drills, two anchors to calculation software and overall complete services for the industry. That's what hell is doing. >> So you did a very good job this morning on the keynote of painting that picture about about the scope of your work and the necessity of your work, the vitality of it. Because construction projects, as we all know, how very strict deadlines. Sometimes they have unique needs. They have immediate needs emergency needs, and you're in the center of all that. And so your technology is central to your general operation. >> Absolutely yes. I mean, with twenty five thousand or twenty nine thousand employees, twenty five thousand users in our system, basically, everybody's using everyday ASAP or the fast majority of users. We have ten thousand concurrent users every day on our system. That deal with customer requests with orders with quotes, but also, of course, with complaints with repair handling and so on. In >> just a few. Yeah, just >> so Marco, I hear ASAP and, you know, bring me back to when? Oh, well, you know, Lennox was that stuff that sat on little sidelines. We're well past that. You've got so many customers that run their business, you know, mission critical around the globe. Just give give, give us a little bit of background on the partnership with Hilty and Red Hat and Solutions like asap. >> Yes, sure. Yeah. The Department of Hilty goes back to, I think, two thousand seven for me. Personally, I started working with Hilton for another company in ninety three. So I know where the hell did Quite well, actually studied in the same town next to Lichtenstein, Son of the mail. And And it's it's amazing to see the journey kind of two thousand nine going all s ap mission critical on rail and now actually moved to Asa P s for Han. And yes, Hill is one ofthe declines. But it kind of talks that we can handle this mission. Critical applications are mission critical customers and built this good relationship to make sure they have these these courage to actually do this Bold jumps limited The last six months. >> Christoph, you know you've got a broad, you know, roll at the at the company way talked to so many companies on becoming a tech company on becoming a software company. Well, software is critical, but at the end of the day, you know, infrastructure and running your business is core. You know, you're not going to become a fully digital software. You have real stuff in the physical world that lots of people and lots of, you know, physical things that need to go to a little bit about that balance. And now the company has been changing over those last ten years. >> I was excited to be open with you. I was really excited when our executive board a couple of years ago, besides tools, consumables and services also added software into a strategic pillar for Hilty. Um, and while I believe that software will be an interesting pillar for us, well will generate additional revenue, will generate additional sales from early. Also in the consumables and tools and services piece software becomes more and more important when you look at the journey off building a building like this. As you mentioned John, I mean it starts with specifying it starts with the planning on CD, and it ends at the end with with Asset Management. Where are the tours and so on. So it's a complete life cycle through out the building off off throughout the construction of ah building. You >> know, Marco had mentioned that you made this decision to migrate Ohana last year right? Twenty eighteen or or where he might be rated last year? Isn't last year's decision made before that? Talk about that a little bit, if you would please and where Red Hat fit into that? Because that that's that's not a small decision, right? I mean, that's a That's a very calculated and I wouldn't not risky, but it's It's just a big move. Yeah, and so the confidence that you had a CZ well, that red hat was your partner to make that happen. >> Absolutely. I mean, the announcement of SAPI to support Hana as thie only database after twenty twenty five voice one off the factors to push us into that direction, that that was then clear for us that we want to go there. And it was also pretty clear for us that in our size it was not that easy to move in twenty twenty three or something like that in that direction, but that we have to be the first movers to be fully supported by ASAP and >> all >> these Parkins because later on, they will be busy with migrating all the big shots. So Wade took the decision to move first and soon, and that allowed us to be in the focus off all thes attached partners ASAP. But also read had also tell emcee for storage and HP for for servers. That meant that we had confidence that we have full attention from all these providers and partners to help us to migrate. On the other hand, it was clear the the the journey we started in two thousand nine has indicated by Marko that we moved to an open software that we move to commodity hardware. Intel based server hardware was a move that had paid off in the past, and we didn't want to go away from that and move again to a proprietary hardware or software solutions. So it was very clear that we want to do that jointly with red hat on commodity and until based service and That's how we went there, Right? >> So, Christophe, big theme, we hear not only at this show, but almost every show we go to is today customers. It's, you know, the hybrid and multi cloud world I see ASAP at all of the Big Cloud shows that that that we cover well, we're just cloud fit into your over discussion, you know, at your company. And then, you know, we can drill down to the specifics of that sapien red hat. But it's what do you have? A cloud strategy, as it were? >> Oh, yes, you know, we moved fairly soon to Amazon with all our customer facing workload. So when you go to hilton dot com or any of our Web pages, you typically land on a ws powered website because that one gave us the flexibility off operating systems off databases of whatever we needed. That was that was available there with our internal workload. However, So all the software we use Internet eternally toe run the company. We have a world that is split between ASAP, which runs entirely on Red hat, um, and the rest of the workload. Witches to a large degree, windows based workload so there. We decided a few years ago to Movinto Microsoft Azure platform to move the internal workload into Azure as it is mainly Windows based. >> So Marco actually want one a depart from healthy for a second. Just give us a little bit of a broad view. You know, we've talked to you many times. You talked about the stage. You know, the customer experiences a critical piece of red hats mission out there When I talk to customers today, One of the biggest changes they've seen the last few years is I'm managing a lot of stuff that's not in my environment. It's the stuff I'm responsible for it and something goes wrong. I'm absolutely getting a call, but you know, it's not my network. It's not my servers. It's not my piece there, but I have to do all of them, you know, got imagine. That's been a transformation for red Hat in the partnerships, and you're everywhere, so it just gets a little context. Yeah, I >> mean, you described it very well, right? I mean, I think the last two years before, I think it was just like some use cases in the public club. But today. The harder cloud is here, right? And everybody does it right. It's not like just one company from a customer experience to stand behind. Like I mentioned it on the state gets harder. Right? And you gonna have these partnerships, right? One partnership, right. We can talk about the azure. We have people in enrichment, right? Think about it today. And then everything changed with start having on stage here. But we have support people in micro for the last two or three years, right? Same diff ASAP as an example, right? We have people. We actually build a fairly large teeming, involved off to be close of us. Time together. I want to do that speed ASAP. A cloud bead on regular bear closes in general. Yes, That challenges. You mentioned networking, right? It gets tricky, right? And he shifted from, but it's unavoidable, right? It shifted from, like, okay, we own and control the stacked kind of too. Yes, you need to know you're open source after and to have really partnerships. Right? And I think the announcement Microsoft, too have this managed services offering that we do joint. It's That's what we're driving so that we can do this better together with partners. >> Marco is great to hear you that but Christoph, he's not listening. Tell us to reality. You've worked with Red Hat for ten years. You're going to cloud how they doing? How's the ecosystem, the vendors in general? They're all up on stage, holding hands. I mean, it's it's seamless and nobody ever point fingers. I'm sure >> to be very, very honest with you. I mean, I appreciate it last year, hearing that redhead will be offered in Azure. I mean, that was not possible to mention those two company names in one sentence in the past, at least for us as customers, and that that was a bold statement last year that those two parties will suddenly join. That fits very well in our strategy, because we believe internal workload for Hilton should run in in In Azure seeing on last Tuesday, Microsoft and Red Hat shaking hands and movie. Even beyond that one was, for me, them almost the most exciting event here, or the most exciting statement that I saw here during these few days because that reemphasized the close relationship that those two have, and that exactly fits our road map. That's exciting. >> And, you know, we heard that, you know, again from from both CEO Saying customers really kind of brought us together. They made this deal work because we kept hearing that they love us and they love you, and they like us together. So So we got that. We understand that. So? So Marco customers drove that to a certain degree. You've got a customer here who made this big Hana jump, which is you say small guy. You know, I would beg to differ little bit that you had him before the big guys did. But what, like an initiative like that? What is that doing for you? What? Red hat. In terms of carrying that over to other customers. Now, you've learned from one you've seen what they've gone through. What kind of confidence does that give you? What kind of interest does it give you about how to approach this game? >> Absolutely. You know what we learned from give you one example right? If you moved his heart ever closer Christopher Hilty uses systems have twelve terabytes memory. Think about it that fairly large systems and that foot train tried to actually test our softer with that footprint and then even think about the next. Next journey is in if you want to do this in the cloud. What does that mean? If you take a twelve terabyte image and running in a double? Yes. And so that is, since my team also does quality assurance and product security. That's for them as well as in. Okay, we've seen what tilted can do work. How do we actually make this more robust? How do we test you are there? And how do we do that in this journey? It's, I think I'm pretty proud of how we actually learn from these instances, and health is not the only one. It's just one the republic. But yet it's every time. I think that's the only survived is into industry. If you really learn continuously and also applied right. I mean our whole setup involved or we shifted completely and not just from the people. They have theirs. So we have people that do open. Chief. There were people do Lennox and performance, but also from structure. I really be sure that they were set up for success and know what the next they have customers is obviously every casting off. A message we will do will go through a journey license over the next ten years. >> Kristoff obviously being on stage, you know it is good for the company, but coming to Red Hat Summit one. Just give our audience that if they hadn't come to it. Some of the value is, too what you place in some, the activities that have excited you most here this week. >> I mean, one thing is, of course, hearing about latest technologies, new releases, off software, off new possibilities and opportunities for us as customers from Red Hat. But also, it's great to see how on the floor out there other partners customers on DH fingers mingle around the ecosystem that created that was created around open software about, ah, not only operating system, but also about containers about all these those different technologies, which I have an important role for all of us in nineteen the future. >> Sure. Well, good week, that's for sure. Very nice job you get on the Kino stage to both of you and good luck with the partnership on down the road. And again, I would make the difference that way. little guys got in early hilt. He's no small fry in inner world, that's for sure. Thanks for the time, Krystof. Marco. Thank you. Thank you very much. Back with more. We're live here in Boston and we're covering the red hat. Summer twenty nineteen on the
SUMMARY :
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Mark Little & Mike Piech, Red Hat | Red Hat Summit 2019
>> Voiceover: Live from Boston, Massachusetts, it's the CUBE. Covering your Red Hat Summit 2019. Brought to you by Red Hat. >> And welcome back to our coverage here on the CUBE Red Hat Summit 2019. We're at the BCEC in Beantown, Boston, Massachusetts playing host this week to some 9000 strong attendees, pack keynotes. Just a great three days of programming here and educational sessions. Stu Miniman and I'm John Walls. We're joined by Mike Piech, who's the VP and general manager of Middleware at Red Hat. Mike, good to see you today. >> Great to be back. >> And Mark Little, VP of engineering Middleware at Red Hat. Mark, Good to see you as well, sir. >> You too. >> Yeah. First of, let's just talk about your ideas at the show here. Been here for a few days. As we've seen on the keynote stage, wide variety of first off, announcements and great case studies, great educational sessions. But your impressions of what's going on and some of the announcements we've heard about this week. >> Well, sure. I mean definitely some very big announcements with RHEL 8 and OpenShift 4. So as Middleware we're a little bit more in sort of gorilla mode here while some of the bigger announcements take a lot of the limelight. But nevertheless those announcements and the advances that they represent are very important for us as Middleware. Particularly OpenShift 4 as sort of the next layer up from OpenShift which the developers sort of touch and feel and live and breathe on a daily basis. We are the immediate beneficiaries of much of the advances in OpenShift and so that's something that, we as the Middleware guys sort of make real for the enterprise application developer. >> I'd say, probably for me, building on that in a way, one of the biggest announcements, one of the biggest surprises is gotta be the first keynote where we had Satya from Microsoft on stage with Jim announcing the collaboration that we're doing. I never believed that would ever happen and that's, that's fantastic. Has a benefit for Middleware as well but just for Red Hat as a whole. Who would've thought it? >> John: Who would have thought it, right? Yeah, we actually just had Marco Bill-Peter on and he was talking about, he's like "Look, we've actually had some of our support people up in Redmond now for a couple of years." And we had Chris Wright on earlier and he says "You know, sometimes we got to these shows and you get the big bang announcement. It's like, well, really we're working incrementally along the way and open source you can watch it. Sure sometimes you get the new chipset or there's a new this or that. But you know, it's very very small things." So in the spirit of that, maybe, you know, give us the updates since last time we got together. What's happening in the Middleware space as you said. If we build up the stack, you know, we got RHEL 8, we got OpenShift 4 and you're sitting on top. >> Yeah. Well one aspect that's an event like this makes clear in almost a reverse sort of way. We put a lot of effort particularly in Mark's team in getting to a much more frequent and more incremental release cycle and style, right. So getting away from sort of big bang releases every year, couple of years, to a much more agile incremental again sort of regime of rolling out functionality. Now, one of the downsides of that is that you don't have these big grand product announcements to make a big deal about in the same way as RHEL just did with 8 for example. So we need to rethink how we sort of (Laughs) >> absence the sort of big .0 releases, you know how we sort of batch up interesting news and roll it out at a large event like this. Now one of the things that we have been working on is our application environment narrative. Right now, the whole idea of the story here is that many people talk about Cloud-Native and about having lot's of different capabilities and services in a cloud environment. And as we've sort of gone through the, particularly the last year or so, it's really become apparent from what our customers tell us and from what we really see as the opportunities in the cloud-native world. The value that we bring is engineering all these pieces together, right? So that it's not simply a list of these disparate, disconnected, independent services but rather Middleware in the world of cloud native re-imagined. It is capabilities that when engineered together in the right way they make for this comprehensive, unified, cohesive environment within which our customers can develop applications and run those applications. And for the developer, you get developer productivity and then at runtime, you're getting operational reliability. So there really is a sort of a dual-sided value proposition there. And this notion of Middleware engineered together for the cloud is what the application environment idea is all about. >> Yeah. I'd add kinda one of the things that ties into that which has been big for us at least at summit this year is an effort that we kicked off or we announced two months ago called Quakers and as you all know a lot of what we do within Middleware, within Red Hat is based on Java and Java is still the dominant language in the enterprise but it's been around for 20 years. It developed in a pre-cloud era and that made lots of assumptions on the way in which the Java language and the JVM on which it runs would develop which aren't necessarily that conducive for running, in a cloud environment, a hybrid cloud environment and certainly public cloud environment based on Linux containers and Kubernetes. So, we've been working for a number of years in the upstream open JDK community to try and make Java much more cloud-native itself. And Quakers kind of builds on that. It essentially is what we call a kub-native approach where we optimize all of the Middleware stack upfront to work really really well in Kubernetes and specifically on OpenShift. And it's all Java though, that's the important thing. And now if people look into this they'll find that we're showing performance figures and memory utilization that is on a per with some of the newer languages like Go for instance, very very fast. Typically your boot time has gone from seconds to tens of milliseconds. And people who have seen it demonstrated have literally been blown away cause it allows them to leverage the skills that they've had invested in their employees to learn Java and move to the cloud without telling them "You guys are gonna have to learn a completely new language and start from scratch" >> All right, so Mark, if I get it right cause we've been at the Kubernetes show for a bunch of years but this is, you're looking at kinda the application side of what's happening in those Kubernetes environment >> Mark: Yeah. So many times we've talked about the platforms and the infrastructure down but it's the the art piece on top. Super important. I know down the DevZone people were buzzing around all the Quaker stuff. What else for people that are you know, looking at that kinda cloud-native containerization space? What other areas that they should be looking at when it comes to your space? >> Well, again, tying into the up environment thing, hopefully, you know, you'll have heard of knative and Istio. So knative is, to put it in a quick sentence is essentially an enabler for serverless if you like. It's where we're spinning containers really really quickly based on events. But really any serverless platform lives and dies based on the services in which your business logic can then rely upon. Do I have a messaging service there? Do I have a transaction service or a database service? So, we've been working with, with Google on knative and with Microsoft on knative to ensure that we have a really good story in OpenShift but tying it into our Middleware suite as well. So, many of our Middleware products are now knative enabled if you like. The second thing is, as I mentioned, Istio which is a sidecar approach. I won't go into details on that but again Istio the aim behind that is to remove from the application developer some of the non-functional business logic that they had to put in there like "How do I use a messaging service? How do I secure this endpoint and push it down the infrastructure?" So the security servers, the messaging servers, the cashing servers et cetera. They move out of the business logic and they move into Istio. But from our point of view, it's our security servers that we've been working on for years, it's our transactional servers that we've been working on for years. So, these are bullet-proof implementations that we have just made more cloud-native by embedding them in a way in Istio and like I said, enabling them with knative. >> I think we'd mentioned that Chris Wright was on earlier and one of the things he talked about was, this new data-eccentric focus and how, that's at the core so much of what enterprise is doing these days. The fact that whenever speed is distributed, they are and you've got so many data inputs come in from, so to a unified user trying to get their data the way they wanna see it. You might want it for a totally other reason, right? I'm just curious, how does that influence or how has that influenced your work in terms of making sure that transport goes smoothly? Because you do have so much more to work with in a much more complex environment for multiple uses that are unique, right? >> (Mike) Yeah. >> It's not all the same. >> Huge, huge impact for sure. The whole idea of decomposing an application into a much larger number of much smaller pieces than was done in the past has many benefits probably one of the most significant being the ability to make small changes, small incremental changes and afford a much more trial and error approach to innovation versus more macro-level planning waterfall as they call it. But one of the implications of that is now you have a large number of entities. Whether they be big or small, there's a large number of them running within the estate. And there's the orchestration of them and the interconnection of them for sure but it's a n-squared relationship, right. The more these entities you have, the more potential connections between each of them you have to somehow structure and manage and ensure are being done securely and so on. So that has really driven the need for new ways of tying things together, new ways essentially of integration. It has definitely amplified the need for disciplines, EPI management for example. It has driven a lot of increase demand for an event-driven approach where you're streaming in realtime and distributing events to many receivers and dealing with things asynchronously and not depending on round-trip times for everything to be consistent and so on. So, there's just a myriad of implications there that are very detailed technical-level drive some of the things that we're doing now. >> Yeah, I'll just add that in terms of data itself, you've probably heard this a number of times, data is king. Everything we do is based on data in one way or another, So we as Red Hat as a whole and Middleware specifically, we've had a very strong data strategy for a long time. Just as you've got myriad types of data, you can't assume that one way of storing that data is gonna be right for every type of data that you've got. So, we've worked through the integration efforts on ensuring that no sequel data stores, relational data stores^, in-memory data caching and even the messaging services as a whole is a way of sto^ring data in transit, that allows you to, in some ways it allows you to actually look at it in an event-driven way and make intelligent decisions. So that's a key part of what anybody should do if they are in the enterprise space. That's certainly what we're doing because at the end of the day people are building these apps to use that data. >> Well, gentlemen, I know you have another engagement. We're gonna cut you loose but I do wanna say you're the first guests to get applause. (guests laugh) >> From across all the way there. People at home can't hear but, so congratulations. You've been well received already. >> I think they're clearly tuned in to the renaissance of the job in here. >> Yes. >> Thank you both. >> Thanks for the time. >> Mark: Thanks so much. >> We appreciate that. Back with more, we are watching a Red Hat summer 2019 coverage live on the CUBE. (Upbeat music)
SUMMARY :
it's the CUBE. We're at the BCEC in Beantown, Boston, Massachusetts Mark, Good to see you as well, sir. and some of the announcements we've heard about this week. of much of the advances in OpenShift one of the biggest surprises is gotta be the first keynote So in the spirit of that, maybe, you know, Now, one of the downsides of that And for the developer, you get developer productivity and that made lots of assumptions on the way in which and the infrastructure down but it's the and push it down the infrastructure?" and one of the things he talked about was, So that has really driven the need for new ways and even the messaging services as a whole Well, gentlemen, I know you have another engagement. From across all the way there. of the job in here. live on the CUBE.
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Vasily Chekalkin & Guillaume Poulet-Mathis, Optus | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the you covering your red hat some twenty nineteen brought to you by bread hat. >> Welcome back to our continuing live coverage here, read. Had summat. Twenty nineteen. You're watching Cube. I'm John Wallis along with stewed minimum. Nice to have you here with us as we head toward the homestretch. Day three of our three days of coverage here on the Q. We're now joined by a couple of guys who they put on their traveling shoes to get here, both hailing from Sydney, Australia. Gilman, pull a Matisse who's a senior innovation lead at Optimise and Vasily Check Culkin, who's a principal software architect, also adopted, which is the second largest mobile phone service provider in Australia. Gentlemen, thanks for being with us. Thanks, fiving. It's a long way to come, right? >> Yes, it is, but it's very worst trip. >> Excellent. Well, you're both on the keynote stage this morning. We'LL talk about that in just a little bit for folks who might not be familiar with obvious once you tell us a little bit about your footprint in Australia and what brings you here to talk about red hat and open >> shift well as you mentioned the obvious is a leading telco in Australia way are lucky that we own our infrastructure, which makes it a fantastic place As software engineers or infrastructure engineers working a CZ, we can develop new products and new solutions or innovate. It was in this network. Um all roles for the city and I adopted is essentially to identify new opportunities to innovate within our networks. We use our core I sets to innovate, but not on ly Just do this research and development also execute on this way. Call this a bit of an applied innovation where a ninety we would work really hard in in taking it, Teo to realise come but live writing on Colossus. >> So we're having a lot of stories with customers about transformation and telecommunications is one that's fascinating to look at because, you know, you work on software, you know, when I think back to tell Comet was, you know, fiber and towers and you know, physical implementation. But, you know, software, such a large part of what's going on. You tell us some of the changes going on and you know what's impacting your role in Annapolis? >> Uh, it's it's impacting all. Tell CAS actually, but yes, kill Cosa Switching from this old mine set off just fathers just hours. And this is Dan movements and five hundred Carmen, which is driving a lot of changes. People start thinking about social network functions and how we can dip alone on edge. How we can help our customers and developers to collaborate on next features how we can leverage although technologists and a state we have. >> I think if you think of software defined network and they moved to naturalization, you can now think of this. Australia is a big country that so you can not think of this entire infrastructure is being virtualized and could be made available for Also use a CZ well, so it's really changing that sense that it's not closed anymore and you can open to new cases. >> You know, you bring up it. Just a point about the pure geography of Australia. Huge country. Twenty five million people. No way would jealous here in the States, you had twenty five just, you know, in the Boston New York area. Probably I would think somewhere around there, but house that factor and just in terms of your operations in general that you do have nine million subscribers spread out over so much geography on dure trying to deliver the state of the art circuit service. Just, >> I said I couldn't take this one. So in terms of distance that there is an important impact. But what Today we were talking about phone calls. Video is essentially managing infrastructure, and you know, it's such a large country as its challenges. But it's something we're getting very good at a CZ. We pushing very hard to be present in regional Australia so you can sink of this beautiful landscape in getting five of there being a challenge, but with challenges that they did. The luck that comes with this is that we get to a parade, a scaled network, maybe not with the scale of subscribers that you have in any US, but we're the same challenges. So when it comes to innovation way, get the opportunities to way find you. >> So in the keynote, there was a lot of residents in the audience when you, you know, talked about breaking the language barrier. Maybe, you know, go in share with our audience here, just a tidbit as to what you were talking about. How that works from a technology standpoint. Roll >> out from technology. A point off you telephone you're stuck is it's complex thing. And if you want to integrate directly this telephone system directly with a phone call, it's our job. Okay, I did it. It's tough we did it. I'm never getting so. And the software developers what we tend to do when the get some complex things to solve. We obstructed away, and for us it was off the solution. We need to obstruct away all this complex ing all complex signaling nadiya handling and a very simple way off getting additional voice services within phone call. It's additional challenges like distance, and you can't just kind of older in the cloud because we need to be close to the customer. Otherwise, it will be very, very but quality. Always what and yeah, and it's opens availability toe innovate further, we can bring more services, not only voice, translation and transcription, but just think about it. You got your voice. We can help you. We can like new exciting services on plain old. >> So we had translate today and that we were here to talk about the technology may also the culture changed around. If on network becomes more open. And if we have these opportunities to live rage this network to try to build new products on DH, there are plenty of products that way. Also working on that are based on this idea that waken build products like people build APS to build a napkin, a smartphone or you need this environment way can expose the network in the same digital environment on DH. Translation is very interesting because it's emotional. If you think of communication, language can be a barrier. The a. D that we digitize the phone call and that we can then let build products or or engineer products that break barriers is very exciting. And so this is where we pick the specific use case for for the keynote today, Aziz, you mentioned before it has a emotional showing it, >> but there was if I got it right and police correct me if I didn't, um, you were engaged in a real time phone call right now and then if we pretended that one of you spoke one language, one of you spoke another. There was an immediate translation from English to French, French to English. And the call was being transcribed in real time as well. So it could be used another medium, right? I want to use it in, you know, e mails or other communications text, whatever. So you were stockpiling all this capability right in through the transcription, but doing real time voice translation. >> Take the venue, We idea. So things like translation is something that Microsoft, for example, does really well and many club companies to really well, the value we add is to move from having an adult translation request conditions like this to Russian, to integrating this in in one of the most natural communication channel, which is person to person. Phone call is a perfect place to start, because if there is one place where you're going to a language barrier as phone calls global, you can call anywhere in the world. This's pretty exciting environment. >> Oh, I thought so. I mean, >> you know, it's fascinating to think kind of history of telecommunications. It's well, you know, every country has their own, you know, system. But there needs to be that interconnection so that you know, today I don't think about whether you know I'm calling across the street across the country or across the globe. It takes care of that boy. If I could just plug into some of the available services on INDU translation, you know, right you're goingto bring Bring the world a little bit closer together. >> And the phone. Nichole's of Quintus, You don't sign up to brand, so you do sign up to a telescope. But this is regardless of your device. You can establish a phone call on used the services. I >> know some teenagers I'd like to have their conversations translated for May. Really helpful. >> You can build it a cz. Well, >> can you do work on that? Good. I'll have to think about it. What about five g And what is that doing for you? Just from a purely technical standpoint, the opportunities that you see coming with that I know rollouts. Probably still year or twenty four months away from taking place. I don't know what the Australia rollout is compared to the U. S. But in terms of what that speed is going to do for you, what kinds of possibilities you think the ceiling exist? I >> must after very developed. I'm thinking, like from Pew Software Development Point of view. Excuse me. Perfect opportunity to be connect customers with developers on an edge on a on your network. Andi, it's all the world later NCIS and bend with and you can do fascinating thing on edge ofthe network I raise that sings real time Rachael here at the open to reality five g will enable it and we'LL keep thiss development and improve speed off this stuff. And I'm looking forward to have all of this available not only for me as I'm looking for Loker, I don't want it close the opening network we're opening Tell Kal Toh the cool world off wonderful software development and it's fascinating >> The Savages. Also, if you think of five, you gotta think about momentum. There is this momentum that we have now to improve our networks, and it's not entirely just five g. We've got network function visualizations. We've got Coyote, and that momentum is very interesting because as we improve our network, it becomes more digital and especially mentioned as it becomes more digital. It's more open and enables new opportunities for enterprise customers off for startups to innovate in this environment. >> Okay, so my understanding from what you talked about and, you know, this is built on open shift, you know, what's the importance? You know, why Open shift and what is that enable for your business and ultimately your customers? >> This is actually something way quite proud off. When we started this journey in this software engineering space, it's inclined narrative. It's only natural to build functions in containers, but there was There was effectively that gap between building new applications in the current state of a network that has a a very different approach of operation. So, communities, where's the right tool for us? But when you operate a carrier network, you need strong support and you need Teo. You need to have a very firm Acela's because you don't drop phone calls. This is very important minute communication, and this is where we had a fantastic relationship is really to find a way to operationalize thiss deployment. >> Ricardo wasn't only like operating this thing way worked hand in hand last few years, they've helped a lot this designing systems like best practices. We learned a lot off each other and it was fantastic journey way really enjoyed working on this. It's extremely professional team, >> No, in from a timing perspective Oh, our journey came together a same time, as read it started seeing telcos has being where the next big thing or the next something to very much start focusing on. >> So so what's your next big thing? We're talking about five G and what that's going to open up, and we've read a lot about it here in the States. But from your perspective, you know what? What is that going to enable? What kind of services? Because for G's already, you know, blowing everybody's mind in some respects, right with the data capabilities there imaging transactions, those kinds of things, but five g your thought, I think, >> previews. Innovation cycles things three G for G Always came, came in with a pre pre baked benefits, often speeds with five minutes a little. My opinion is a little bit different. What's happening? What we're doing is is an example of this is in a V that you have a new environment and important environment where new things can happen and so you're going to see this as Oppen versus closed what it means is that the next big thing is not necessarily five year. And Evie. Next big thing is what software developers will make of this environment. And that might be a start up. Or they could be enterprised could bring you cooperate, right? And we are very much very much open to start conversation with anyone that would like to make use of this. He's >> got the next big thing. That was God the next big thing yet, Right, gentlemen, thank you for making the long trip. I know not just to see us, but we do appreciate your carving out some time for us. Good job this morning. And, uh, good luck down the road. >> Thank you for having us. >> Thank you. Thank you. Back with more live from Boston. You're watching the Cuban. You're watching coverage from Red Hat Summit twenty nineteen
SUMMARY :
It's the you covering Nice to have you here with us as we who might not be familiar with obvious once you tell us a little bit about your footprint in Australia and shift well as you mentioned the obvious is a leading telco in Australia way that's fascinating to look at because, you know, you work on software, you know, How we can help our customers and developers to collaborate Australia is a big country that so you can not think of this entire here in the States, you had twenty five just, you know, in the Boston New York area. CZ. We pushing very hard to be present in regional Australia so you can sink just a tidbit as to what you were talking about. And if you want to integrate directly this telephone If you think of communication, language can be a barrier. I want to use it in, you know, e mails or other communications as phone calls global, you can call anywhere in the world. I mean, But there needs to be that interconnection so that you Nichole's of Quintus, You don't sign up to brand, so you do sign up to a telescope. know some teenagers I'd like to have their conversations translated for May. You can build it a cz. Just from a purely technical standpoint, the opportunities that you see coming with Andi, it's all the world later NCIS and bend with and you can do fascinating thing on edge Also, if you think of five, you gotta think about momentum. You need to have a very firm Acela's because you don't drop phone calls. We learned a lot off each other and it was fantastic the next something to very much start focusing on. for G's already, you know, blowing everybody's mind in some respects, right with the data capabilities you have a new environment and important environment where I know not just to see us, but we do appreciate your carving out some time for us. Back with more live from Boston.
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Chris Wright, Red Hat | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the you covering your red have some twenty nineteen rots. You buy bread hat. >> Good to have you back here on the Cube as we continue our coverage. Live at the Red Had Summit twenty nineteen, Day three of our coverage with you since Tuesday. And now it's just fresh off the keynote stage, joining stew, Minutemen and myself. Chris. Right? VP and chief technology officer at Red Hat. Good job there, Chris. Thanks for being with us this morning. Yeah. >> Thank you. Glad to be here. >> Great. Right? Among your central things, you talked about this, this new cycle of innovation and those components and how they're integrating to create all these great opportunities. So if you would just share for those with those at home who didn't have an opportunity to see the keynote this morning, it's what you were talking about. I don't think they play together. And where that lies with red hat. Yeah, you bet. >> So, I think an important first kind of concept is a lot of what we're doing. Is lane a foundation or a platform? Mean red hats focuses in the platform space. So we think of it as building this platform upon which you build an innovate. And so what we're seeing is a critical part of the future is data. So we're calling it a Kino data centric. It's the data centric economy. Along with that is machine learning. So all the intelligence that comes, what do you dividing? The insights you're grabbing from that data. It introduces some interesting challenges data and privacy and what we do with that data, I mean, we're all personally aware of this. You see the Cambridge Analytica stuff, and you know, we all have concerns about our own data when you combine all of us together techniques for how we can create insights from data without compromising privacy. We're really pushing the envelope into full distributed systems, EJ deployments, data coming from everywhere and the insights that go along with that. So it's really exciting time built on a consistent platform like lycopene shift. >> So, Chris, I always loved getting to dig in with you because that big trend of distributed systems is something that you know we've been working on for quite a long time. But, you know, we fully agree. You said data at the center of everything and that roll of even more distributed system. You know, the multi cloud world. You know, customers have their stuff everywhere and getting their arms around that, managing it, being about leverage and take advantage. That data is super challenging. So you know where where, you know, help us understand some of the areas that red hat in the communities are looking to solve those problems, you know, where are we and what's going well and what's still left to work on. >> Well, there's a couple of different aspect. So number one we're building these big, complex systems. Distributed systems are challenging distribute systems, engineers, air really solving harder problems. And we have to make that accessible to everybody operations teams. And it's one of the things that I think the cloud taught us when you sort of outsource your operations is somebody else. You get this encapsulated operational excellence. We need to bring that to wherever your work clothes are running. And so we talked a lot about a I ops, how you harness the value of data that's coming out of this complex infrastructure, feed it through models and gain insights, and then predict and really Ultimately, we're looking at autonomic computing how we can create autonomous clouds, things that really are operating themselves as much as possible with minimal human intervention. So we get massive scale. I think that's one of the key pieces. The other one really talking about a different audience. The developers. So developers air trying to incorporate similar types of intelligence into their applications were making recommendations. You're tryingto personalize applications for end users. They need easy access to that data. They need easy access to train models. So how do we do that? How do we make that challenging data scientist centric workflow accessible to developers? >> Yeah, just some of the challenges out there. I think about, you know, ten, fifteen years ago, you talk to people, it was like, Well, I had my central source of truth and it was a database. And you talk to most companies now and it's like, Well, I've got a least a dozen different database and you know, my all my different flavors of them and whether in the cloud or whether I have them in my environment, you know, things like a ops trying to help people get involved with them. You talked a little bit in your keynote about some of the partners that you're working on. So how do you, you know, bring these together and simplify them when they're getting, you know, even more and more fragmented? >> Well, it's part of the >> challenge of innovation. I mean, I think there's a there's a natural cycle. Creativity spawns new ideas. New ideas are encapsulated in projects, so there's a wave of expansion in any kind of new technology time frame. And then there's ultimately, you see some contraction as we get really clear winners and the best ideas and in the container orchestration space communities is a great example of that. We had a lot of proliferation of different ways of doing it. Today we're consolidating as an industry around Cooper Netease. So what we're doing is building a platform, building a rich ecosystem around that platform and bringing our partners in who have specific solutions. They look at whether it's the top side of the house, talking to the operations teams or whether it's giving developers easy access to data and training models through some partners that we had today, like perceptive labs and each to a A I this partnership. Bringing it to a common platform, I think, is a critical part of helping the industry move forward and ultimately will see where these best of breed tools come into play. >> Here, uh, you know, maybe help a little bit with with in terms of practical application, you got, you know, open source where you've got this community development going on and then people customized based on their individual needs all well, great, right? How does the inverse happen? Where somebody who does some custom ization and comes up with a revelation of some kind and that applies back to the general community. And we can think of a time where maybe something I'm thinking like Boston children, their imaging, that hospital we saw actually related to another industry somehow and gave them an ah ha moment that maybe they weren't expecting an open source. Roy was the driver that >> Yeah, I think what we showed today were some examples of what If you distill it down to the core, there's some common patterns. There's data, they're streaming data. There's the data processing, and there's a connection of that processed data or train model to an application. So we've been building an open source project called Open Data Hub, where we can bring people together to collaborate on what are the tools that we need to be in this stack of this kind of framework or stack And and then, as we do, that we're talking to banks. They're looking at any money laundering and fraud detection. We're talking to these hospitals that were looking at completely different use cases like HC Healthcare, which is taking data to reduce the amount of time nurses need to spend, gathering information from patients and clearly identify Septus sepsis concerns totally different applications, similar framework. And so getting that industry level collaboration, I think is the key, and that having common platforms and common tools and a place to rally around these bigger problems is exactly how we do that through open source. >> So Lynn exits and an interesting place in the stack is you talked about the one commonality and everything like that. But we're actually at a time where the proliferation of what's happen to get the hardware level is something that you know of an infrastructure and harbor guy by background, and it was like, Oh, I thought We're going to homogenize everything, standardize everything, and it's like, Oh, you're showing off Colin video stuff. And when we're doing all these pieces there, there's all these. You know, new things, Every been things you know you work from the mainframe through the latest armed processors. Give us a little insight as to how your team's geeking out, making sure that they provide that commonality yet can take advantage of some of the cool, awesome stuff that's out there that's enabling that next wave of innovation. >> Yeah, so I share that infrastructure geek nous with you. So I'm so stoked the word that we're in this cycle of harbor innovation, I'll say something that maybe you sounds controversial if we go back in time just five years or a little, a little more. The focus was around cloud computing and bringing massive number of APS to the cloud, and the cloud had kind of a T shirt size, small, medium, large view of the world of computer. It created this notion that Khun computers homogenous. It's a lie. If you go today to a cloud provider and count the number of different machine types they have or instance types it's It's not just three, it's a big number. And those air all specialized. It's for Io throughput. It's for storage acceleration. It's big memory, you know. It's all these different use cases that are required for the full set of applications. Maybe you get the eighty percent in a common core, but there's a whole bunch of specific use cases that require performance optimization that are unique. And what we're seeing, I think, is Moore's law. The laws of physics are kind of colliding a little bit, and the way to get increased acceleration is through specialized hardware. So we see things like TP use from Google. We see until doing deal boost. We've got GPS and even F p G A s and the operating system is there TIO give a consistent application run time while enabling all those hardware components and bringing it all together so the applications can leverage the performance acceleration without having to be tied directly to it. >> Yeah, you actually think you wrote about that right now, one of your a block post that came about how hardware plays this hugely important role. You also talked about innovation and change happening incrementally and And that's not how we kind of think about like big Banks, right? Yeah. Wow, this is But you pointed out in the open source, it really is step by step by step. Which way? Think about disruption is being very dramatic. And there's nothing sexy about step by step. Yeah, that's how we get to Yeah, disruption. I kind of >> hate this innovation, disruption and their buzz words. On the one hand, that's what captures attention. It's not necessarily clear what they mean. I like the idea that, you know, in open source, we do every day, incremental improvements. And it's the culmination of all these improvements over time that unlock new opportunities. And people ask me all the time, where is the future? What do we do and what's going on? You know, we're kind of doing the same thing we've been doing for a long time. You think about micro services as a way to encapsulate functionality, share and reuse with other developers. Well, object oriented programming decades ago was really tryingto tryingto established that same capability for developers. So, you know, the technologies change we're building on our history were always incrementally improving. You bring it all together. And yes, occasionally you can apply that in a business case that totally disrupts an industry and changes the game. But I really wanted encourage people to think about what are the incremental changes you can make to create something fundamentally new. >> All right, I need to poke it that a little bit, Chris, because there's one thing you know, I looked back in my career and look back a decade or two decades. We used to talk about things like intelligence and automation. Those have been around my entire career. Yeah, you look it today, though, you talk about intelligence and talk about automation, it's not what we were doing, you know, just the amount of degrees, what we're having there. It is like if we'd looked at it before, it was like, Oh, my gosh, science fiction's here so, you know, way sometimes lose when we're doing step by step, that something's there making step function, improvements. And now the massive compact, massive changes. So love your opinions there. >> Yeah, well, I think it's a combination, so I talk about the perpetual pursuit of excellence. So you pick up, pick a field, you know, we're talking about management. We got data and how you apply that data. We've been working towards autonomic computing for decades. Concepts and research are old, the details and the technologies and the tools that we have today are quite different. But I'm not. You know, I'm not sure that that's always a major step function. I think part of that is this incremental change. And you look at the number for the amount of kind of processing power and in the GPU today No, this is a problem that that industry has been working on for quite a long time. At some point, we realize, Hey, the vector processing capabilities in the GPU really, really suit the machine learning matrix multiplication world real world news case. So that was a fundamental shift which unlocked a whole bunch of opportunity in terms of how we harness data and turn it into knowledge. >> Yes. So are there any areas that you look at? Now that we've been working at that, you feel we're kind of getting to those tipping points or the thie waves of technology or coming together to really enable Cem Cem massive change? >> I do think our ability to move data around, like generate data. For one thing, move data around efficiently, have access to it from a processing capability. And turning that into ah, >> model >> has so fundamentally changed in the past couple of decades that we are tapping into the next generation of what's possible and things like having this. This holy grail of a self healing, self optimizing, self driving cluster is not as science fiction as it felt twenty years ago. It's >> kind of exciting. You talk about you've been there in the past, the president, but there is very much a place in the future, right? And how would that future looks like just from from again? That aye aye perspective. It's a little scary, sometimes through to some people. So how are you going about, I guess, working with your partners to bring them along and accept certain notions that maybe five six years ago I've been a little tough to swallow or Teo feel comfortable with? >> Yeah, well, there's a couple of different dimensions there. One is, uh, finding tasks that air computers are great at that augment tasks that humans were great at and the example we had today. I love the example, which was, Let's have computers, crunch numbers and nurses do what they do best, which is provide care and empathy for the patients. So it's not taking the nurse's job away. In fact, is taking the part that is drudgery ITT's computation >> and you forget what was the >> call it machine enhanced human intelligence right on a couple of different ways of looking at that, with the idea that we're not necessarily trying to eliminate humans out of the loop. We're trying to get humans to do what they do best and take away the drudgery that computers air awesome at repetitive tasks. Big number crunching. I think that's one piece. The other pieces really, from that developer point of view, how do you make it easily accessible? And then the one step that needs to come after that is understanding the black box. What happens inside the machine learning model? How is it creating the insights that it's creating and there's definitely work to be done there? There's work that's already underway. Tto help understand? Uh, the that's really what's behind the inside so that we don't just trust, which can create some problems when we're introducing data that itself might already be biased. Then we assumed because we gave data to a computer which is seemingly unbiased, it's going to give us an unbiased result, right? Garbage in garbage out. >> So we got really thoughtful >> about what the models are and what the data is that we're feeding >> It makes perfect sense it. Thanks for the time. Good job on the keynote stage again this morning. I know you've got a busy afternoon scheduled as well, so yeah, I will let you. We'Ll cut you loose. But thank you again. Always good to see you. >> Yeah. I always enjoy being here >> right at that's right. Joining us from red hat back with Wharton Red Hat Summit forty nineteen. You're watching live here on the Cube?
SUMMARY :
It's the you covering Good to have you back here on the Cube as we continue our coverage. Glad to be here. an opportunity to see the keynote this morning, it's what you were talking about. So all the intelligence that comes, what do you dividing? So, Chris, I always loved getting to dig in with you because that big trend of distributed And it's one of the things that I think the cloud taught us when you sort of outsource your operations is somebody else. I think about, you know, And then there's ultimately, you see some contraction as we get really clear winners and the best ideas Here, uh, you know, maybe help a little bit with with in terms of practical application, Yeah, I think what we showed today were some examples of what If you distill it down So Lynn exits and an interesting place in the stack is you talked about the one commonality the word that we're in this cycle of harbor innovation, I'll say something that maybe you sounds controversial Yeah, you actually think you wrote about that right now, one of your a block post that came about how people to think about what are the incremental changes you can make to create something fundamentally new. and talk about automation, it's not what we were doing, you know, just the amount of degrees, So you pick up, pick a field, you know, we're talking about management. Now that we've been working at that, you feel we're kind of getting to those I do think our ability to move data around, like generate data. has so fundamentally changed in the past couple of decades that we are tapping So how are you So it's not taking the The other pieces really, from that developer point of view, how do you make it easily accessible? Good job on the keynote stage again this morning. Joining us from red hat back with Wharton Red Hat Summit forty nineteen.
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Paul Cormier, Red Hat | Red Hat Summit 2019
why from Boston Massachusetts it's the queue covering Red Hat summit 2019 watch you bye Red Hat well good morning welcome back to our live coverage here in Boston with the BCC and we're at Red Hat summit 2019 you're watching exclusive coverage here on the cube this is day three of three great days here at the summit's two minimun John wall's and we're joined now by Paul Cormier who's the president of products and technologies at Red Hat good morning Paul morning how are you doing I'm doing great great so are we a wonderful job on the on the keynote stage yesterday and we're gonna jump into that a little bit but I wanted to run something by you here a great man once said every great achievement begins with a bold goal I heard that I'm looking at that man yeah so one of the many statements that I thought really jumped out yesterday let's talk about that in terms of just the Red Hat philosophy what's happened with rl8 where you've gone with openshift for and just how that is embedded in your mind to how red hat goes about its business well you know we've we've we've been in the enterprise space for 17 plus years and prior to that red had you know we were basically through the retail through the retail channel but first and foremost Red Hat started as an open source company that's where they started not as an enterprise company once we decided with the bold goal that we're gonna get this into the enterprise that's what we really set you know really transformed into what you've maybe heard before from out of my mouth is where we're we're not an open source company although everything we do is open source for an enterprise software company with an open source development model that was kind of the beginning of the first bold goal let's get Linux to the enterprise and so that's sort of how we've thought about it from day one is let's take it one step at a time you know as I said get Linux in the enterprise make make rel the operating system in the enterprise now let's take on virtualization versus n then KVM and then as that all happens so much innovation happened around Linux that all these other pieces came you know Hadoop kubernetes all the other pieces so we just kept growing with that because it's all intertwined with Linux that's one step at a time so Paul before we get off this place I want you to put a fine point on it for our audience because you look out there you know open source is not a community it's lots of communities and it's not you know one thing it's many things out there and today people will look at there's certain companies how do I create IP and monetize what we're doing and you know where the project and the company are you know sometimes intertwined and licensing models changing you know Red Hat has a very simple philosophy on it and it's not something that's necessarily easily replicatable yeah I mean there's simple simple philosophy is it so it's it's upstream first that that's that's our philosophy yes we are a business and certainly making our products successful is is is important number number number one goal number zero goal before that is make the project successful our products can't be successful unless we're we're built on a successful project and it's not something that we even think about because it's just ingrained it's it's it's in our DNA so I mean I'll give you examples you know even kubernetes we didn't start the project Google started the project but we knew in order if we were going to incorporate that in a big way into our products that we had to be prominent in the community so that's what we did first and then it rolled out into the products it's just ingrained it's in the DNA yeah so let's talk a little bit about kubernetes openshift you've now got over a thousand customers congratulations on that and openshift for we spent a bunch of time talking with the team but let's start a little bit higher level because you know there's dozens of you know kubernetes options out there people look at is there interoperability between them you know in the early days customers would just spin their own pieces and on you know today every cloud provider has at least one option if not multiple options and there's all the independent how does this play out you know where are we along the maturity and how do all these pieces fit together or do they I mean if you look if you look at kubernetes I mean the thing here's the the good news the good news is open source has become so prominent in in everywhere we wear now ourselves included we make this mistake ourselves we've confused projects with products so kubernetes is a project it's a development project and we all talk about that like it's a product the same it's the same thing with Linux so I'll give you an example with the Linux kernel where all you know all the commercial vendors and everyone else is in that same upstream development tree with the Linux kernel but when the commercial guys like ourselves when we go to build a product we make choices of which file systems we're going to support which installers we're going to support you know what we're gonna do for management what we're gonna support for storage and for many reasons we all make different decisions so that's why at the end of the day when we come down to our products even though they're all completely open you know rel is different from Susu which is different from a bun too which is different from all the others it's the same exact thing with kubernetes we all develop here but now we bring that down into a platform like open shift that kubernetes touches userspace api's it such as kernel a api's and so unless you you integrate those and they all move forward in the lifecycle of that platform at the same time we get out of sync with each other and that's one of the reasons why it's a product and they don't necessarily work across each other with you know with all the other products it's the same exact principle that made rel and at the same exact principle how linux works right so what advice do you give to customers is how they look at this because they're like oh wait there's now azure an open shift this jointly offered solution but do I use that or Duty as the native you know aks solution out there you've got partnership to the AWS you know where does open shift versus anthos on google fit it's it definitely is a little bit fragmented well the other thing that's happened around the cloud one of the things that happened in early in the cloud a lot of the cloud providers said every applications going to the cloud tomorrow I think that was ten years ago and the last number I thought sorry we're about 20 percent there and so and that's great we think that's great but customers still have on-premise applications and they have a running on-premise either bare metal virtual machine they have their own private clouds in many cases and now they want to go across clouds every customer I talked to and it's not just for lock-in that's definitely an issue they want to go across clouds because this cloud provider might have a better service here than that cloud provider and vice versa so what customers want to do is they want one common operating environment both of the applications developer in the operators they can't afford to have five different silos because just like the example I used with Linux distributions being different every one of these kubernetes distributions is different and so anthos for example if you're gonna have all your applications including bare metal applications on Google Linux then that's good because your operators have one operating environment you developers have one development environment but that's impractical and that's why that's that's not gonna work I mean the reason why I think Microsoft is one of our best partners here is they understand this which is why they've embraced openshift so so deeply even though they have aks in their stable and the reason why I think they understand this is because they like us have been in the enterprise space for a long time this is how enterprise computing works and I think that's the model that our customers they don't have no choice to deploy they just can't afford to have five different you know operating environments it's like the UNIX days it's like the UNIX days all over again and you know when you had one vertical stack and you know customers started to roll out a common fact that's why Rell succeeded because we gave them that commonality and they couldn't afford five different silos to try to manage and develop their applications to you know is there a different rhythm or unique rhythm to the open source community in terms of development in terms of new products that might be a little different than then old older models because you know if I'm saying if I if there's an interest that focuses maybe in one area and the interests of ER you know or momentum shifts over to a different direction and and maybe this standard or this old way kind of loses a little bit of its impetus or its force I mean what that creates decision challenges on customer sign but but absolutely and and that's why as they said even with kubernetes we didn't jump in full force exactly right away you know we sort of we sort of worked in many of it with many container orchestration technologies out there most of which besides kubernetes are gone by the wayside a bit now and you know we sort of sort of look at that and see where this plays out well we get involved but we also try to make make the best technical decision as well kubernetes now it's got way too much momentum in in in the in with open source because it's got so much momentum that's where the innovation is happening and at the end of the day customers even though they have confused many projects with products they still want they still want the right technology to solve their business business problems right and so cuckoo Bernays has so much momentum around it that's where the innovation is happening so that's that's that's the plot that's the big part of the platform right now and so I think that's the other thing I think that a lot of people that try to jump into this space miss is if you're gonna base your enterprise product on an upstream project you better have good influence in that upstream project because when your customers ask you to address an issue or or take it in a direction or help take it in the direction if you don't have that influence you can't satisfy your customers so we learned very very early on that upstream is is not a bolt-on for us it's an integral part that starts even before the product starts so Paul I've heard many people often call Red Hat the Switzerland of IT you know being where you sit in the community and you know for years at this show we've interviewed you know all of the hardware players and everything like that sorry sorry I'm taking important calls it's no worries you know live audience can wait we'll show you the clip of John Cleese when we got interrupted on a program once we won't think was my admin telling me I needed to come here you're good but so you know with Red Hat starting as that as that Switzerland when I look at the multi cloud world its you've got interesting combination you know Satya Nadella up on stage is not something that we would have thought of right five years ago so you know VMware supporting OpenShift announced today is not something that many people will look at and be like oh geez you know that seems surprising to me because you know we have you know fights over virtualization or various piece of the stack what do you see in kind of the software and multi cloud world today that's maybe a little different than it was five or ten years ago I think I mean to VMware's credit they're trying to satisfy their customers and their customers are saying I want OpenShift and so we we work with trying to satisfy our customers to the Microsoft arrangement I mean as you guys probably well know we weren't the best of friends you know five six seven eight years ago and I think Satya said it on stage and they our customers got us together literally we had a set of big customers that almost took us in a room and said you guys need to talk and and frankly I think they're one of our best partners right now I'm not sure it could have happened without Satya but they're one of our best partners because we're both interested in satisfying our customers in and as I said I think Microsoft really understands the enterprise world and that's why we're going in the common direction we almost when we get in the room with their engineers we almost complete each other's sentences of you know when we start talking about what we need to do you know there's been an announcement early in the week ahead of a global economic study done IDC came up with this huge number right 10 trillion dollar impact that Linux is having globally speaking just if you would just curious about your perspective on that what kind of a statement that is and and the dollar values that are achieved or the incremental values that are achieved in terms of applying these technology I think it's a couple things I think I think it's a statement that this is the innovation most so open-source is the innovation model going forward period end of story full stop and I think as I said in my keynote yesterday you know leading up to the the biggest acquisition ever for a software company not an open-source software coming a software company that happened to be an open-source software company I don't think there's any doubt that that open source has one here here today it and it's because of the pace of innovation I mean yes I mean we've been at rel for 17 plus years well we probably spent the first third or so without 17 plus years trying to convince the world that Linux was secure and it was stable and it was ready for the enterprise once we got through that hurdle it was just off to the races from there and kubernetes what you know I said yesterday containers came on the scene although they've been here technically for a long time they came on the scene in 14 herba Nettie's in 15 it's only 2019 it's really not that far downstream where were as you said we've got a thousand commercial customers and the keynote this morning talking about some of the use cases that we're solving with with OpenShift I mean Boston Children's Hospital is just unbelievable of what they can do in a matter of a week that used to take them a matter of a month to do right that's because of the innovation model we have dr. Ellen Grant on yesterday by the way so if you haven't watched that yet go back to the cube net and check that interview out yeah I mean fascinating kind of customer conversation we've had about transformation but want to get your take on the only constant in our industry which is change I wrote right after the the announcement of the acquisition and meeting with your changes Red Hat the one thing that they've actually built themselves for is to deal with the massive amounts of change you know you could tell better than more how fast the Linux kernel is changing you know a third of the codes changed in the last two years and kubernetes is actually not as many lines of code as Linux but it's massive amounts of change I heard you know we relate out to about five years of development on that I heard the the pace going forward will only get faster every three years you're gonna have a major release every six months right a minor release so how do you get the team in the community and all these things you know ever keeping up and even turning it up to 11 that day that's that's probably the one of the biggest parts of our job our customers can't deal with that change you know frankly I think in the bidding beginning of OpenStack one of the one of the mistakes that we as a community did for our customers was there were some vendors out there trying to tell customers you need to stay close to the head to the upstream head you need to stay close to the head and we really all try to get things out in six months that's great to try to start to evaluate innovation and how what you can do with that it's not great for necessarily running a stable business on and that's what and that's what I think our job is is to help our customers consume open-source developed technologies in a way that they can continue to run their business and that was the goal that was the audacious goal of rel from the beginning is that the model of rel it's in it's no I it's it's not necessarily about the bits because they're free it's about the life cycle of that and how we can help our customers consume that and that's what we do that frankly it to the core well just to follow up on that if you ask your customer and you say hey you're using Azure what version you are using they're like Microsoft patches and updates that constantly as opposed to the traditional you know Patch Tuesday in Windows so you know we seem to be closing that gap a little but it's challenging between the stuff I control and the stuff that I consume well we'll look at even OpenShift for we used I mean I know ashesh was on yesterday talking about that but we used a lot of the great technology we got from core OS to start to bring that model bet on to even on premise if you so choose with open shift because there's so many of the components that are that are intertwined with each other you know you've got kubernetes with talking the user space talking the kernel user space talking to the kernel talking the storage talking to networking so now automating that for our customers for that updates is is is what they want because that's how they consume it in the cloud I remember when we first started rel we used to put the the features on the side of the box and the first thing was what version of the kernel it was that quickly went away - they don't want to have to worry about that because they don't have the expertise to do to be added' eyewire themselves well congratulations Paul great week thank you very much again well done now on the keynote stage yesterday fascinating stuff this morning - so well done on the program inside and we wish you look down the road and don't forget to check your voicemail no I will thank you guys very much might be important all right always a pleasure back with more here from Red Hat summit 2019 you're watching us live here on the Q [Music]
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Pete Manca, Dell Technologies | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the you covering your red hat. Some twenty nineteen brought to you by bread hat. >> Well, good morning. And welcome to Day three of our coverage here, Right? Had some twenty nineteen. We're live here on the Cube, were in Boston, Massachusetts, and was soon Merriman. I'm John Wall's. Glad to have you with us for our last day of coverage. We're now joined by the SPP. Adele Technologies. Pete. Myka, Pete. Good to see you this morning. And Pete, by the way, is coming with I'm sure song in this heart of smile on his face two and a half hours to get in today. >> It was a long drive in, but I'm here now. I'm excited to be here. This is a great show. And here with great partners. >> Yeah, the tough part's over, right? >> We're in Boston, not in Vegas, so that you gotta be a little >> bit there some consolation. Let's just first off, let's paint the umbrella here a little bit about the overall partnership between Delhi, um state right and red hat and how that's evolved. And currently, word stands with all the new releases I've heard about this week. >> Yeah, it's been a great partnership for almost two decades now, right? Della and red hat of working together on a lot of different products from ready stack are ready architectures and ready nodes to software sales. Support customer engagements has been a tremendous partnership for twenty years, and I expect to be going for another twenty years. >> All right, that's digging a little bit walking through the stacks, if you Well, so we understand. You know, Red Hat is an operating system, you know, long history working on, you know, all the del platforms. You've got the converge environment. Where where does red hat fit in? What pieces of there ever broadening portfolio fit in? >> Right. So really, on the ready solution side of the world, which is another part of the products I managed for Del. So within the ready solutions environment, we worked with red hat on open stack way. Deliver hardened, supported open stack products to both. Tell Cohen Enterprise Markets on that. We also deliver open shift and already noted ready solution environment so we can deliver that container men's container environment for those same enterprise and serves customers. >> Yeah, so if you know, the Cubans at, you know Del Technologies World last week and at that show in here, I >> saw a sizable >> break out for telecommunications. You know, we could talk a lot about Enterprise, but, you know, telcos got some certain special requirements needed to make sure it's certified for certain things and, you know, gotta be tested out. Maybe we talk a little bit about what those customers are looking for and why that match you red hat makes sense. >> Sure mean Telco really wants to have control over their environment they wantto have. Open source is a great technology for Tell Cole, right, and they love taking the technology customizing for their environment, reselling components to their end users in open stack from Red Hat is a perfect fit for that market. And so again, we deliver that and the hardened solution on top Adele Technologies on Del Partridge servers deliver that to the telco market and provide them the tools and the capabilities they need to deliver the solutions to their customers. >> What what is it? Let's go dive in just a little bit. Then about those specific traits or attributes, you think in terms of the telecom market goes, you know what is specifically about you think there needs that they find so attractive about open source and what makes them stand apart from other industry sectors. Yet to me, it's controlling >> customization. So rather than taking a packaged app that shrink wrapped in running it like everybody else, they want to get a customized control for their markets. They have certain as to mention they have certain standards and compliance you don't have to deal with. They also want to differentiate within that telecom market. So it's hard to do without having control around the underlying stack. I think those are the big attractiveness around. And then, um, you know that the solution from Red Hat combined with Dellis is such a enterprise quality product for the telecom market, which I think has certain advantages. >> Okay, so you mentioned you know, the ready solutions and open stack piece, and then on top of that, there could be open ships. So that's right, a news, you know, talk to you know, many of the customers, the executive team on the team here, open shift for showing good momentum over thousand customers. So how does that fit in with the solutions you're >> offering well, so we offer a ready solution for open shift this wall, right? And we see that as the container solution for the the market that really wants those open source type products and has a line themselves with red hat in Lenox. And so it's a perfect solution for that. And, you know, we really see Oprah shift as the ability to create a managed environment for containers as we saw from Polish Kino with Over shit for now provides a tremendous hybrid cloud experience for customers at one of my great workloads, both on premises to cloud and back. And so we think that's tremendous technology that we'll add value. And with our hardware technology underneath that we could provide a stack that we think services the market quite well. >> Yeah, it's funny, Pete, you know, you've got a lot of history and I've worked with you for many years on this the ultimate A lot of these technologies, you go back to server virtual ization. You look a container ization in Cuba. Netease. They're like, Well, we want to extract upto, allow the applications to be able to be modernized and do these wonderful things. And I shouldn't have to think about the infrastructure. Right. But we know what the end of the day It lives on something, and it needs to be good talk a little bit of things, like Corinne, eh? Tease. And you know where Del thinks they fit from an infrastructure standpoint compared to communities. >> Yeah. What we want to do is provide the infrastructure that makes it easy to four workloads and applications to preside on, including open shifting cabernets environments. Right? And so, really, what you want to do? And for years, as you say, we've got a lot of history in this. We've been trying to push that complexity and management up the stack. So the hardware and even the virtual ization layer and the container layer becoming afterthought, right? And you know, what I saw from open ship for is that really puts the power back into the application developers and makes it easier to manage and control your underlying harder environment. So, with tight integrations into the open ship community with our del technology Zach, we can provide that sort seamless infrastructure layer that allows the application developers to go do what they need to do not be worried about infrastructure management. >> Do you have any customer examples that might help highlight the partnership? >> Um, no, I >> don't have any good. I >> didn't I'm sorry. I didn't >> know the customer. Well, let's hope out for a little bit. And you talk about hybrid and what that's going to enable there, is that the, uh Oh, here we go for you on this in terms of what's new, What's the latest? I mean, what about the capabilities? You're going to get nowt for what's going to be offered and what is that? That's kind of jumping off the page to you. This is Yeah, this was worth the wait. Well, >> to me, it was all about the management in the automation, the underlying infrastructure just again taking that complexity away from the developers and putting it, um, allowing the application developers tools they need to do to very quickly developed applications, but also migrate them to the proper landing spot and maybe cloud one day and maybe on premises the next. You know, one of the beauties of cloud is is there are classes of applications that may not necessarily fit on a public cloud. You may not know that. Do you? Get there and you want to have the flexibility to push them out, see how they work and bring them back in and open Shift gives you all this capability open shit for yeah, >> eso Absolutely what we hear from customers. It it's not. The future is hybrid and multi cloud. It's today, and the future are voting hybrid and multi class today. To that point, I wonder if you could help us. Just It's not Dell specific, but VM wear made an announcement today that they're supporting open shift for on top of'Em. Where can you maybe t explain where that fits into the overall discussion? >> Yeah, So look, Dell's always writing choices, the customers and we want it we want to be. And we are the essential infrastructure company to the enterprise and commercial environments. And so open shift on VM were just another example of choice and customers. They're gonna have different location environments out there. They're going to run some containers. They're going to run. Some of'em are going to run some native way. Want to be the infrastructure provided for that. We want to work with partners like you had a choice to our customers. >> You know, we've heard a lot this week about flexibility, right on a scale and options and all. And I understand providing choice is a great thing, you know, the customers. But what does that do for you in terms of having to answer to all of that desire? The flexibility? Well, it's it's >> opportunity in this challenge, right? Supporting all these different environments, of course, is a challenge for engineering teams. But it's also opportunity if we want to be. And we are the essential, you know, hardware technology, player in the industry. We have to support all these leading platforms and open shifts. Just example of that. The >> challenge on that side of it. I get opportunity, but you have to develop that expertise We do know throughout your force, and that probably has its own challenges. >> It doesn't mean we have to have expertise only and our own technologies like VM wear, but also open shift and other technologies or red hat technologies. We have to higher and cultivate, um, open source engineers, you know, which is not always easy to find on DH. We have to develop those expertise that know how to integrate those components together. Rights, not just a matter of taking the software and laying on top of the next eighty six architecture and saying it's done way, want Toby to integrate that. So we provide the best experience to the customers. So having that capability to understand what's happening at the hardware infrastructure layer also, what's happening at the virtual ization and container layer is a critical piece of knowledge that we have to. We have to grow and continue to work with >> you. But what about, I mean, as far as the competitive nature of the work force, then I kind of thinking about It's almost like ways. The more people who use that, the tougher it is to get around right, Because so the more people who are moving toward open source, the more which is great. But it also the more competitive the hiring becomes, the training becomes that it does bring with it. Certainly I would say barriers by any means, but a different factor. >> It's a challenge across the entire industry right now, hiring good technical people, and it's not just on open source space. It's an all space is open source is a particular challenge because it takes a certain set of skills to work in that environment. Dell has a philosophy where we are continually looking at university hires and growing from within. We try to hire a CZ. Many new hires, new grads as we can, But the reality is we have to look everywhere in order to try to find those. Resource is very hard to come by, and it's very competitive to get these employees are these candidates. Once you find them, it's hard to get him in the head of environment. >> So it it's interesting. Just step back for a second here last week at your show, it was I opening to see such a nadella, you know, up on stage with Pak else, right? While Microsoft Environments have lived on V EMS for a long time, you know, far as I know the first time the two CEOs have been public scene together fast word to here. And once again we saw touching Adela up on stage with, you know, red hat. It's, you know, for years we think about the industry as to the competitive nature and what's going on and Who's fighting who. Multi cloud. It's not like it's everybody's holding hands and singing, you know, Cooper Netease, Kumbaya. But it is a slightly different dynamic today than it might have been >> is very different in the past. When there are maur infrastructure players, Mohr software players, you could pick your swim lanes. You can compete now, the lines are blurred, and cloud definitely has a lot to do with that. Right and hybrid Multi cloud has everything to do with that, because if your applications going run on eight of us one day on premises the next day in azure the next day you better have tools, processes and procedures that allow those applications the migrate across that multi cloud experience. And so what if forces vendors to do is get together and participate in a cooperative in whatever your favorite word is for competitors working together. But that's really what it is, is we've realized you look a Del Technologies UVM. Where is part of our family? But we're working with Red Hat. What, working with Microsoft and Red Hat, as you see, is doing the same thing. It's necessary in today's market in today's environment that you just have to do that. >> Well, Paul, you mentioned swim lanes. I hope the Express lane is open for you on the ride home. So good luck with that. Thanks for the time this morning, too. Good to see you. It's a home game for you. So it's not all bad. It's not all >> bad. No, this is a great place to be and a great event. I'm glad I could be part of the >> burger. Thanks for being with us. Thank you. Back with more live coverage here. You're watching the Cube. Our coverage, right. Had summat twenty nineteen.
SUMMARY :
It's the you covering Good to see you this morning. I'm excited to be here. Let's just first off, let's paint the umbrella here a little ready architectures and ready nodes to software sales. You know, Red Hat is an operating system, you know, long history working on, you know, all the del platforms. So really, on the ready solution side of the world, which is another part of the products I managed telcos got some certain special requirements needed to make sure it's certified for certain things and, you know, the solutions to their customers. you think in terms of the telecom market goes, you know what is specifically about you think there needs that they And then, um, you know that the solution from Red Hat combined So that's right, a news, you know, talk to you know, And, you know, we really see Oprah shift as the ability to the ultimate A lot of these technologies, you go back to server virtual ization. And you know, what I saw from open ship for is that really puts the power back I I didn't That's kind of jumping off the page to you. and open Shift gives you all this capability open shit for yeah, I wonder if you could help us. We want to work with partners like you had a choice to our customers. But what does that do for you in terms of having to answer to all of that desire? you know, hardware technology, player in the industry. you have to develop that expertise We do know throughout your force, and that probably has So having that capability to understand what's happening at the hardware infrastructure layer also, But it also the more competitive the hiring becomes, the training becomes that it does bring Once you find them, it's hard to get him in the head And once again we saw touching Adela up on stage with, you know, red hat. the lines are blurred, and cloud definitely has a lot to do with that. I hope the Express lane is open for you on the ride home. No, this is a great place to be and a great event. Thanks for being with us.
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Limor Fried, Adafruit, Saloni Garg, LNM Institute, & DeLisa Alexander, Red Hat | Red Hat Summit 2019
>> Announcer: Live from Boston, Massachusetts, it's theCUBE covering Red Hat Summit 2019. Brought to you by Red Hat. >> Welcome back to our coverage here on theCUBE of Red Hat Summit 2019. We're live in Boston right now, and I'm joined by a couple of award winning professionals. And we're looking forward to hearing what their story is because it's fascinating on both fronts. And also by DeLisa Alexander who has a great job title at Red Hat. Chief People Officer. I love that title. DeLisa, thanks for joining us. >> Thanks for having us. >> Also with us, Limor Fried who is the and founder and lead engineer of Adafruit and Saloni Garg who is an undgergrad student, third year student, at the LNM Institute of Technology. And that's in Jaipur, India. So Saloni, glad to have you with us. And Limor, a pleasure as well. >> Thank you. >> And you're all lit up. You've got things going on there, right? >> I'm glowing, we're gonna get all into that. >> We'll get into that later. First, let's talk about the award that, they're two women in open-source are our winners this year. On the community side, Limor won, on the academic side, Saloni won, so talk about the awards if you would, DeLisa. The process and really what you're trying to do with recognizing these kinds of achievements. >> Well, this is our fifth year for the Women in Open-Source Award. So after this period of time, I can tell you what we wanna do is make an impact by really fostering more diverse communities, particularly gender diverse in open-source. And so that's the whole goal. Five years into it, what we've discovered is that when you really focus on diversity and inclusion within a community, you actually can make an impact. And the thing that's so exciting this year is that our award winners are really evidence of that. >> So talk about the two categories then if you would please. You have community on one side, academics on the other. It appears to be pretty clear cut what you're hoping to achieve there by recognizing an active contributor, and then somebody who is in the wings and waiting for their moment. But go ahead and fill in a little bit about, >> Yeah, absolutely. >> Limor and Saloni too about, why are they here. >> Limor: Why am I here? >> Yes, well, really what we're trying to do is create role models for women and girls who would like to participate in technology but perhaps are not sure that that's the way that they can go. And they don't see people that are like them, so there's less a tendency to join into this type of community. So with the community award winner, we're looking at the professional who's been contributing to open-source for a period of time. And with our academic winner, we're looking to score more people who are in university to think about it. And, of course, the big idea is you'll all be looking at these women as people that will inspire you to potentially do more things with open-source and more things with technology. We've been hearing for many, many years that we definitely need to have more gender diversity in tech in general and in open-source. And Red Hat is kind of uniquely situated to focus on the open-source community, and so with our role as the open-source leader, we really feel like we need to make that commitment and to be able to foster that. >> Well, it makes perfect sense. Obviously. Great perfect sense. Saloni, if you would, let's talk first about your work. You've been involved in open-source for quite some time. I know you have a lot of really interesting projects that you're working on right now. We'll get to that in a bit, but just talk about, I guess, the attraction for you in terms of open-source and really kind of where that came from originally through your interest in stem education. >> Okay, so when I first came to college, I was really influenced to contribute to open-source by my seniors. They have already selected in programs like Google Summer of Code Outreach channel, so they actually felt empowered by open-source. So they encouraged me to join it too. I tried open-source, and I feel really, like, I'm a part of something bigger than myself. And I was helped greatly by my seniors, so I feel it's my duty to give it back to my juniors and to help them when they need it so that they can do wonders, yeah. >> Great. And Limor, for you, I know you founded the company. 100% female owned. You've got-- >> Yeah, 100% me. >> Yeah, right. 100% you. >> It's my fault. >> Right. Well, I wasn't going to blame you. I'll credit you instead. >> Yeah, that's our big thing. We wanna change. Get blame to get credit. >> Right. It's all about credit. >> More positive. >> So 100 employees? Is that right? >> 100, 150, yep. >> Okay, talk a little bit about kind of the origin, the genesis of the company and where that came from and then your connection on the open-source side. >> Well, I, yeah, so I grew up actually in Boston. So I've lived here a very long time. >> You said like a block from here. Two blocks. >> I used to live, actually, yes, in South Station nearby. I used to live by the Griffin Book line, and so Wilson has a very strong open-source community, you know. Ephesoft is here. And, yeah, that's kind of the origins of a lot of this free software and open-source software community. And when I went to school, I ended up going to MIT, and the open-source software and open-source technology is kind of part of, like, the genetics there. There's actually this thinking that you wouldn't do it. It's kind of by default. People write code, you open-source, you release it. There's a culture of collaboration. Scientists, engineers, students, researchers. All working together and sharing code. And when I was in school, so I had to take Thesis. I really didn't wanna do it, and so instead, I started building, like, MP3 players and video games. Taking all the engineering that I was studying and, like, not doing the work I was supposed to be doing. But instead, I was having fun and building cool electronic parts, and I would publish these projects online. I had, like, a MediaLab webs page, and I would publish, you know, here's all the chips and the schematics and the layout. And people sort of started coming up with the idea of open-source hardware. Let's take the philosophy of open-source software where we release the source code. But, in here, you release CAD files, firmware, layouts, 3D models. And so I did that, and I was publishing here's how you make this, like, Lite-Brite toy for Burning Man or an MP3 player or a cell phone jammer. All these fun projects, and people would end up contacting me and saying, hey, these are really cool projects. I would like to build this project myself, but unlike software where you just, like, type in, like, make, config, and compile and all that. You actually have to buy parts, you have to get these physical things. And so they said, you know, could you sell me a kit, like a box, where we'd get it and take it home and be able to build it. And I was totally like, no, I'm busy. I have to, like, not write this thesis. >> That's not what I do. >> But eventually, I did write the thesis. And then I was really stuck because I'm like, now what do I do? So I ended up selling kits. So I sold the synthesizer kits and such, and I did an art fellowship and stuff. And then, eventually, I was kind of like, this is, I was doing, you know, it's, you kind of fall into business by accident because if you knew what you were getting into, you wouldn't do it in my opinion. So I ended up sort of developing that, and that was 13 years ago. And now we have 4,000 products in the store, you know. >> 4,000 products? >> Yeah, I know. Ridiculous, right? That's a lot. >> Yeah, who's doing that inventory, right? >> Well, we have a pretty intense inventory system that I'd love to talk to you about, but it's kind of boring. >> I'll bet you do. Now, I was reading something about an circuit playground express. >> Yes. >> Is that right? So is that what this is all about is-- >> Yes! I knew you'd ask, and that's why I wore this. >> So it's a, kind of, an exploratory circuit board of-- >> Yeah! It's open-source, open-source hardware, open-source software and firmware. And we had a lot of parents and teachers and educators and camp counselors come to us and say, we wanna teach physical computing. We wanna teach coding but with physical hardware because, you know, we all, all the tier coders, right? No, I don't know. But, eventually, you're like, I'm typing on the screen. And you want to take that and you wanna make it physical. You wanna bring it out into the world where there's a wearable or a cosplay or assistive technology, or you wanna make video games, that are, like, physical video games. And the problem that teachers had were the classrooms, a lot of these classrooms, they don't have a lot of money. So they said it has to be very low-cost. It has to be durable because these kids are, like, chewing on it and stuff, which is fun. And it also has to work on any computer, even extremely old computers. 'Cause a lot of these schools, they only have a budget every seven years to buy laptops. And so this actually becomes a very difficult technological problem. How do you design something that's $20 but can teach physical computing to anybody? From kids who are not even good at typing all the way to college students who wanna implement fast 48 transforms, and so we designed this hardware. It's open-source, and it's cool 'cause people are, like, remixing it and making improvements to it. It's open-source circuit playground, and I'm wearing it. And it's glowing, and I don't know. It's fun! It's got LEDs and sensors. And you can just alligator clip to it and make projects, and we've got schools from around the world learning how to code. And I think it's a much more fun experience than just typing at a computer. >> Absolutely. Yeah, Solani, on your side of the fence, so I obviously, in your education years if you will, not that we ever stop learning, but formally right now. But you're involved, among the many projects that you've been involved with, a smart vehicle. >> Yeah, I'm working on it. >> Project, right? So tell us a little bit about that and how open-source has come into play with what you're looking at in terms of, I assume, traffic and congestion and flows and those kinds of things. >> Yeah. So what we're working on is, basically, we'll be fitting cameras and Raspberry Pis on buses, college buses. And then they'll detect, like, they'll detect lane detection and traffic signal violation and will report the assigned people. If there's any breakage of law or any breakage of traffic signals, so that's what, basically, we are working on and how open-source comes into the play is that we actually knew nothing about OpenCV and all the technology that is before all this. So I looked up some open-source projects that had already the lump sum of all this, and I got to learn a lot about how things actually work on the code-based side. So that's how open-source actually helped me to make this project. >> And, ultimately, who do you report to on that? Or how is that data gonna become actionable or, I assume it can be. >> Yeah. >> At some point, right? I mean, who's your partner in that? Or who is the agency or the body that, you know, can most benefit from that? >> Yeah, so, currently, this is an academy project, and a classmate of mine has been working with me. And we are working on a faculty member. And so, basically, we have decided to expand this project and to use it as a government project. And we, authorities we'll be reporting to whenever there's a signal or law breakage is that the traffic police department will be notifying them in case of any signal breakage. >> So if there's an uptick in speeding or red light running in Jaipur, we know who to blame. >> Yeah. >> Right? >> Shouldn't have run a report. >> It's, Solani, why'd you do that to them, right? All right, ladies, if you would. And I'm gonna end with DeLisa, but I'd like to hear your thoughts about each other. Just about, as you look at the role of women in tech and the diversity that Red Hat is trying to encourage, Limor, what have you seen in Solani here over the last day, day and a half, that maybe you think will leave a lasting impression on you? >> I love Solani's energy and her passion, and I can just, she's has this emanated strength. I can just tell that nothing stops her from achieving what she wants. Like, she wants to, like, do this Raspberry Pi traffic camera. She's just gonna figure out what it takes to solve that problem. She's gonna use open-source software, hardware, whatever it takes. And she's just gonna achieve her goal. I totally sense that from her from the last few days we've been together. >> That's great. >> Thank you. >> Yeah! >> All right. Solani, your turn. For Limor. >> What I have done is just a fraction of what she has been doing. She's, like, inspiration. I look up to her, and I, also, I mean, I hope I start my own company someday. And she's really a role model and an inspiration for me. So yeah. >> Yeah, I think you've got a pretty good mentor there in that respect. And then, DeLisa, when you see young ladies like this who are, you know, their achievements are so impressive in their respects. What does that say to you about Red Hat, the direction of the program, and then the impact on young women that you're having? >> Well, the program has gotten so much more participation. So many people, 8,000 people actually voted to select our winners. And all of our finalists were so impressive. We have major contributors to open-source, and so, along with our finalists, our winners are people who are just role models. And I am just so impressed with them, and I think that every year, we're learning something different from each of the winners. And so, as they round down into a community, the things that they'll be able to mentor people on will just be exponentially increasing. And so it's really exciting. >> Fantastic. Well, thank you all. The three of you, the ladies. Congratulations on your recognition, your accomplishments. Well done. Safe travels back to New York and back to India as well, and I would look forward to hearing more about what you're up to down the road. I think this is not the last we're gonna hear from the two of you. >> Thank you for having us. >> And thank you for calling me a young lady. >> Absolutely. I mean, look at the source. Open-source, you might say. That was awful. All right, back with more Red Hat Summit 2019. We're live here on theCUBE in Boston. (gentle music)
SUMMARY :
Brought to you by Red Hat. And also by DeLisa Alexander who has a great job title So Saloni, glad to have you with us. And you're all lit up. Saloni won, so talk about the awards if you would, DeLisa. And so that's the whole goal. So talk about the two categories then if you would please. Limor and but perhaps are not sure that that's the way the attraction for you in terms of open-source And I was helped greatly by my seniors, And Limor, for you, I know you founded the company. Yeah, right. I'll credit you instead. Get blame to get credit. It's all about credit. the genesis of the company and where that came from So I've lived here a very long time. You said like a block from here. And so they said, you know, could you sell me a kit, And now we have 4,000 products in the store, you know. Yeah, I know. to you about, but it's kind of boring. I'll bet you do. I knew you'd ask, and that's why I wore this. And you want to take that and you wanna make it physical. that we ever stop learning, but formally right now. what you're looking at in terms of, I assume, traffic and all the technology that is before all this. do you report to on that? that the traffic police department will be notifying them or red light running in Jaipur, we know who to blame. that maybe you think will leave a lasting impression on you? I can just tell that nothing stops her from achieving Solani, your turn. And she's really a role model and an inspiration for me. What does that say to you about Red Hat, the direction And I am just so impressed with them, and I think Well, thank you all. I mean, look at the source.
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Michael Bratsch, Franklin Middle School & Leigh Day, Red Hat | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the queue covering your red hat. Some twenty nineteen. You buy bread. >> Oh, good afternoon. And welcome back as the Cube continues our live coverage. Exclusive coverage of Redhead Summit twenty nineteen here in Boston. Some nine thousand strong attendees here. Key notes have been jam packed, but we just finished our afternoon session not too long ago again. Very well attended. Dynamic speakers stew Minimum. John Walls. We're joined now by Lee Dae. Who's the Vice president of Marketing Communications? That Red Hatley. Good to see you. I see you and Michael brats, who was a teacher of English as a second language of Franklin Middle School in Minneapolis, Minnesota. Mr B. Good to see you, sir. And that's what your your students call you, Mr B. Is that right? What they do, we saw that way. Might just follow through on that tradition right now. All right, let's talk about why the two of you are here together. And I know you're Michael School has an interesting history that they've been kind of following somewhat independently, you know, in terms of open source and work. And only you found them through your marketing work some really very interesting. Two avenues that you have on your platform. So tell me a little bit about how how you got here. And then we'LL get into it after that. >> Okay, Great. So Red Hat has a program called co lab and this sir program where we go into schools and we teach kids how to code. So we do things like circuit boards and programming on raspberry pies. Kids have program raspberry pies into cameras to go around cities and take pictures. And we have had collapse in many cities, and we hadn't hit the Midwest. And we chose Minneapolis. And we found, fortunately, Franklin Middle School in that great group of girls and two awesome teachers that are very inspirational on, So the relationship didn't stop it. That week of coal lab, we have stayed in touch, and here at the summit, we've showcased the work in the police ship that we have together. Yeah, >> and I know a lot of the focus that the program is toward, uh, appealing to younger ladies. You know, young girls trying to get them or involved in stem education. We just had the two award winners for the women and open source with us just a few moments ago. So this is Ahh, a company wide. Durant wants a directive initiative that you said, Okay, we we have a responsibility, and we think we have a role here to play >> absolutely well. It's important to us to see the next generation of technologists. And when you feel like women, especially young women sometimes feel like technology is inaccessible to them, and they're not often in technology programs and university. So it's our initiative. Teo help young people feel comfortable and good about technology and that they can actually code. And they can actually do things that they didn't think were possible to them previously. >> So, Mr B. Help us understand how this fixing curriculum and give us a little bit of the story of how it went down. >> Well, it's funny asset. I mean, this opportunity for us is a home run out the part because we're a steam school science, technology, engineering, arts in math. So today, not only did our students perform on the main stage a song that we were able to collaborate right and go through a >> whole production process >> with music were also able to on there right now as we speak down running a booth, building circuits, presenting those circuits, presenting those circuit boards, and collaborating altogether down there with attendees of this conference right now. So, I mean, we're covering every one of those steam components, basically, in one project, one large scale technology project. So this opportunity homeland out the >> part. >> I love that because that was the first thing I went to mind. I heard photography involved. You say steam and so much, you know, we can't just have tech for Tex take. You know, I worried I studied engineering and, like, things like design and those kind of things right weren't in the curriculum. But you know what? I went to school. Creative side. Yeah. How important is that? You kind of get especially think young people get the enthusiasm going. That creative side would, you know, get them deeper into it. >> Well, you know, I always look att, individual students. Everybody has their individual gifts and talents, and it's about, you know, finding those leadership skills within each one of those gifts. And so within this, you're able to find someone that might be more creative in one area, maybe more technical and more, you know, logic orientated in other areas. So with that, you're able to just have Mohr a broader spectrum to be ableto find people's individual gives in towns and for them to in the collaboration also contribute their gifts and talents in different avenues instead of it just being one lane like just this part of technology or just this part of production and just this part of design were able to kind of integrate all of that into one thing and to take it one step further. After we did the, um So Cola came out with their mobile container to US Bank Stadium in Minneapolis, Minnesota, and it was right downtown, right outside of where our football team players brand new stadium Super Bowl is is there two years ago now And, um, so with our students being there after we got done with that, that cold lamb, when they were asking us, you know, to take it a step further in the classroom are students actually designed with our future boys Lo Bill Future Girls logo a card and then presented it to Red hat and they ended up printing off the cars and they were able to use it to build the circuit. So we weren't just using the coal lab cars. But we also got to design our own, too. >> So, you know, you said future boy's feet. So that's that's a new organization, the club that you formed the school Future Boys and Girls Club for the express purpose of what? >> Well, so we actually tie in all different content areas into assault. Obviously, this is just the future girls that are here in Boston and did the technology side with us and that parts of Spain the cold because it's an initiative for girls in technology but of the future boys and girls, uh, overall program. We encompass a lot of different continent as we integrate performing arts with academics and all the components of esteem school, um, into learning. And we do interest based learning. We do project based learning, and basically, you know, kids are learning a lot without realizing how much they're really learning, you know, and we make it fun and relevant. But we also teach the leadership skills in the hard work that goes in with it. And I mean, even just coming out here to Boston for this, uh, for this opportunity here in this summit, I mean, the amount of work that it took for the students to get here and the process, the ups and downs, especially with middle school students. You know, the marathon, not a sprint mentality, you know, has been absolutely amazing. >> Good luck with that eye. Well, >> I always say I >> haven't had a bad day yet. Just an overstimulating one. >> So lately, you know, we love having stories on the Cube and especially tech for good is something that we always get a good dose here at Red had some it. You know what else can share some of the open tour stories that were going on around the event? >> We're really thrilled. Today. We're launching our newest open source story, which is about agriculture and which we choose topics with open source stories that are important every everyone so medicine, helping to find cures for cancer, even our government and artificial intelligence. And today it's about open hardware and open agriculture. And we're launching a new film this afternoon. >> It's all future farming, right? Right. That that's the viewing today. >> Yes, and we had someone showing their their farming computer on our stage, and it's actually done in Summit >> Show for today. So you've got the open studio, you know, working and you have a number of projects. I assume this fell into one of those slots right where you were Using one of those platforms to feature great work of future farming is another example of this, But But you have some, I think, pretty neat things that you've created some slots that give you a chance to promote open source in a very practical and very relatable way. >> Yes, exactly. So our Opens our open studio is our internal creative community agency. But we do get ideas from everyone around, you know, around the world. So wait, get ideas about open agriculture, eh? I, uh, what we can do with kids and programming with kids. And then we take those ideas into the open studio and it is a meritocracy. So the best ideas when and that's what we choose to bring to life. And we have designers and writers and filmmakers and strategist and a whole group of people that make up the open studio inside a red hat >> And you've done a new feature, Frank. >> Yes. So, yeah. We work together to create the container that doctor be mentioned and to create the container. And then we work. When >> you have you >> have. You know, one of the girls Taylor actually taught me just now I am not technical. I will just give that caveat. But they they make, they made circuit boards, and they're making circuit boards here. Some issue and mine doesn't work. So don't That's okay. Just, basically were you can see here we have different designs that are attendees can choose from, and then we have electrical tape that you are sorry, competent and an led light. And so the idea is to toe form a circuit and to have led light item the card. That's great. So one of the one of the girls actually taught me how to make it, but I think I didn't follow >> her. Instructed you to go back to school. Wouldn't be the first time that I would have fallen apart either on that. So where Michael, Where would you be now without red hat? Or, you know, you were doing your own thing right independently. But now you've received some unexpected support. Where would you be? You think was out that help. And how much of a difference have they made >> you? Well, let me tell you. I mean, you know, when we look at it being an after school program, the amount of enrichment and opportunities that redhead has created for us has been, honestly, just unbelievable. It's been first class, and we're so appreciative. I mean, even even in our meeting with the future girls last night, we just talked about gratitude and how grateful we are for it. I mean, when you look at this circuit, this is an abbreviated version of what the students actually participate in. This is, you know, just a one one, uh, one led light and a small formation our students were doing. I think there were seven or eight on ours. And so the amount of learning in the modern opportunity that this presented to him not only have they learned how to do the technical piece of it, they've learned howto present. They've learned howto speak and present. They've learned howto call lab, collaborate, work together on huge levels, and I mean, they learned what they can take on an airplane, you know, coming out here. So I mean, the amount of things that through the learning process of, like, eye color, large scale technology project that we've been participating since October since they brought the mobile lab out to Minneapolis. I called a large scale tech, you know, technology project, and going through that whole process has been huge. And let me tell you this as a teacher and those that are parents you're competing was so much in this day and age to keep kids attention, right? I mean, everything is swiped the phone every which way and everything. So instant gratification. So for students to actually engage in this cola program for to be set up so well from Red Hat and to actually stick with it and stay engaged with it really speaks volumes denying the program. But also, you know, our students staying engaged with it, but they've they've stuck with it, they've been engaged, and it's very interest based, the project I've seen it through. But then also the renewed opportunities and being ableto one of the things on our rubric as the teacher is toe expand and extend the learning I don't mean to be long winded, but we wanted, you know, expand on the learning that's already taken place and being out here, it's just it's just a continuous continuation of the learning, you know, not just one level going to next level going on next long light, next level. And that's that, honestly, is where the real learning really takes place. >> So, Michael, you know, from its very nature being an open source company, you know, Red Hat talks a lot about it. Ecosystem in community. If I five red right in the notes, they're you know, your student really getting the value and understanding of community. There's something about they wrote a song. Talk >> about that. We become stronger. Yeah, that's the name of the song is we become stronger And you know what the idea was. We were looking at the power point for this summer and for this summit, and in that there was, uh there was a phrase that said ideas become stronger and that's the collaboration. And so we started tossed around ideas and things like that were like, Well, we liked the idea of stronger, and then we're like, Well, this is more of the coal lab experience, not just the ideas of the technical side. And that's why we become stronger. And yet we developed a song specifically for this summit. I think you go top for, you know. >> Yeah, the performance was amazing. >> Yeah, you don't want >> one top forty, to be honest with you, but no. I mean, uh, you know, and that was another whole another phase, you know, like, I talked about the steam side of the school. Um uh, integrating the arts in and the whole production side of that, you know, it was a lot of work and another project, but it was another area of content that we're able to integrate into this project, and, uh, and we're able to perform it on stage. So, like I said, they literally just got off stage performing. We become stronger singing the whole production of song a dance routine choreography and then went straight to the boot to now present circuits and teach attendees here at the summit howto build a circuit. I don't know how much better can get in that. >> That is so cool. That's great. Now is this the song that you recorded in the same studio. Lenny Kravitz. Atlantis More. Tell me you didn't like that, huh? >> I mean, you know, it's all right. >> That's good. That's great. Congratulations, Roy. On this collaboration, it's really it is exciting to see what they're doing to inspire young people on Michael. I can tell you like your job. Don't you love it? I love it. Yeah, yeah, yeah, absolutely. Well, keep up the great work. And we appreciate the time here. And I look forward to hearing that song. Maybe if it hits, you know, the ice store. You know, Apple Store, maybe, You know, maybe good things will happen, right? Hey, you never know. She's Vice president marketing. We're gonna figure this. I'm checking out. I tio go by weight, become stronger. Thanks, Michael. We appreciate Lee. Thank you for having me back with more. Here on the Cube. You're watching our coverage, right? Had some twenty nineteen, but
SUMMARY :
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Robin Goldstone, Lawrence Livermore National Laboratory | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the queue covering your red. Have some twenty nineteen brought to you by bread. Welcome back a few, but our way Our red have some twenty nineteen >> center along with Sue Mittleman. I'm John Walls were now joined by Robin Goldstone, who's HBC solution architect at the Lawrence Livermore National Laboratory. Hello, Robin >> Harrier. Good to see you. I >> saw you on the Keystone States this morning. Fascinating presentation, I thought. First off for the viewers at home who might not be too familiar with the laboratory If you could please just give it that thirty thousand foot level of just what kind of national security work you're involved with. >> Sure. So yes, indeed. We are a national security lab. And you know, first and foremost, our mission is assuring the safety, security reliability of our nuclear weapons stockpile. And there's a lot to that mission. But we also have broader national security mission. We work on counterterrorism and nonproliferation, a lot of of cyber security kinds of things. And but even just general science. We're doing things with precision medicine and and just all all sorts >> of interesting technology. Fascinating >> Es eso, Robin, You know so much and i t you know, the buzzword. The vast months years has been scaled on. We talk about what public loud people are doing. It's labs like yours have been challenged. Challenge with scale in many other ways, especially performance is something that you know, usually at the forefront of where things are you talked about in the keynote this morning. Sierra is the latest generation supercomputer number two, you know, supercomputer. So you know, I don't know how many people understand the petaflop one hundred twenty five flops and the like, but tell us a little bit about, you know, kind of the why and the what of that, >> right? So So Sierra's a supercomputer. And what's unique about these systems is that we're solving. There's lots of systems that network together. Maybe you're bigger number of servers than us, but we're doing scientific simulation, and that kind of computing requires a level of parallelism and very tightly coupled. So all the servers are running a piece of the problem. They all have to sort of operate together. If any one of them is running slow, it makes the whole thing goes slow. So it's really this tightly couple nature of super computers that make things really challenging. You know, we talked about performance. If if one servers just running slow for some reason, you know everything else is going to be affected by that. So we really do care about performance. And we really do care about just every little piece of the hardware you know, performing as it should. So So I >> think in national security, nuclear stockpiles. Um I mean, there is nothing more important, obviously, than the safety and security of the American people were at the center of that. Right? You're open source, right? You know, how does that work? How does that? Because as much trust and faith and confidence we have in the open source community. This is an extremely important responsibility that's being consigned more less to this open source community. >> Sure. You know, at first, people do have that feeling that we should be running some secret sauce. I mean, our applications themselves or secret. But when it comes to the system software and all the software around the applications, I mean, open source makes perfect sense. I mean, we started out running really closed source solutions in some cases, the perp. The hardware itself was really proprietary. And, of course, the vendors who made the hardware proprietary. They wanted their software to be proprietary. But I think most people can resonate when you buy a piece of software and the vendor tells you it's it's great. It's going to do everything you needed to do and trust us, right? Okay, But at our scale, it often doesn't work the way it's It's supposed to work. They've never tested it. Our skill. And when it breaks, now they have to fix. They're the only ones that can fix it. And in some cases we found it wasn't in the vendors decided. You know what? No one else has one quite like yours. And you know, it's a lot of work to make it work for you. So we're just not going to fix and you can't wait, right? And so open source is just the opposite of that, right? I mean, we have all that visibility in that software. If it doesn't work for our needs, we can make it work for our needs, and then we can give it back to the community. Because even though people are doing things that the scale that we are today, Ah, lot of the things that we're doing really do trickle down and can be used by a lot of other people. >> But it's something really important because, as you said, you used to be and I was like, OK, the Cray supercomputer is what we know, You know, let's use proprietary interfaces and I need the highest speed and therefore it's not the general purpose stuff. You moved X eighty six. Lennox is something that's been in the shower computers. Why? But it's a finely tuned version there. Let's get you know, the duct tape and baling wire. And don't breathe on it once you get it running. You're running well today and you talk a little bit about the journey with Roland. You know, now on the Super Computers, >> right? So again, there's always been this sort of proprietary, really high end supercomputing. But about in the late nineteen nineties, early two thousand, that's when we started building these these commodity clusters. You know, at the time, I think Beta Wolf was the terminology for that. But, you know, basically looking at how we could take these basic off the shelf servers and make them work for our applications and trying to take advantage of a CZ much commodity technologies we can, because we didn't want to re invent anything. We want to use as much as possible. And so we've really written that curve. And initially it was just red hat. Lennox. There was no relative time, but then when we started getting into the newer architectures going from Mexico six. Taxi, six, sixty for and Itanium, you know the support just wasn't there in basic red hat and again, even though it's open source and we could do everything ourselves, we don't want to do everything ourselves. I mean, having an organization having this Enterprise edition of Red Hat having a company stand behind it. The software is still open. Source. We can look at the source code. We can modify it if we want, But you know what at the end of the day, were happy to hand over some of our challenge is to Red Hat and and let them do what they do best. They have great, you know, reach into the into the colonel community. They can get things done that we can't necessarily get done. So it's a great relationship. >> Yes. So that that last mile getting it on Sierra there. Is that the first time on one kind of the big showcase your computer? >> Sure. And part of the reason for that is because those big computers themselves are basically now mostly commodity. I mean, again, you talked about a Cray, Some really exotic architecture. I mean, Sierra is a collection of Lennox servers. Now, in this case, they're running the power architecture instead of X eighty six. So Red hat did a lot of work with IBM to make sure that that power was was fully supported in the rail stack. But so, you know, again that the service themselves somewhat commodity were running and video GP use those air widely used everywhere. Obviously big deal for machine learning and stuff that the main the biggest proprietary component we're still dealing was is thie interconnect. So, you know, I mentioned these clusters have to be really tightly coupled. They that performance has to be really superior and most importantly, the latent see right, they have to be super low late and see an ethernet just doesn't cut it >> So you run Infinite Band today. I'm assuming we're >> running infinite band on melon oxen finna ban on Sierra on some of our commodity clusters. We run melon ox on other ones. We run intel. Omni Path was just another flavor of of infinite band. You know, if we could use it, if we could use Ethernet, we would, because again, we would get all the benefit in the leverage of what everybody else is doing, but just just hasn't hasn't quite been able to meet our needs in that >> area now, uh, find recalled the history lesson. We got a bit from me this morning. The laboratory has been around since the early fifties, born of the Cold War. And so obviously open source was, you know? Yeah, right, you know, went well. What about your evolution to open source? I mean, ahs. This has taken hold. Now, there had to be a tipping point at some point that converted and made the laboratory believers. But if you can, can you go back to that process? And was it of was it a big moment for you big time? Or was it just a kind of a steady migration? tour. >> Well, it's interesting if you go way back. We actually wrote the operating systems for those early Cray computers. We wrote those operating systems in house because there really was no operating system that will work for us. So we've been software developers for a long time. We've been system software developers, but at that time it was all proprietary in closed source. So we know how to do that stuff. The reason I think really what happened was when these commodity clusters came along when we showed that we could build a, you know, a cluster that could perform well for our applications on that commodity hardware. We started with Red Hat, but we had to add some things on top. We had to add the software that made a bunch of individual servers function as a cluster. So all the system management stuff the resource manager of the thing that lets a schedule jobs, batch jobs. We wrote that software, the parallel file system. Those things did not exist in the open source, and we helped to write those things, and those things took on lives of their own. So luster. It's a parallel file system that we helped develop slow, Erm, if anyone outside of HBC probably hasn't heard of it, but it's a resource manager that again is very widely popular. So the lab really saw that. You know, we got a lot of visibility by contributing this stuff to the community. And I think everybody has embracing. And we develop open source software at all different layers. This >> software, Robin, you know, I'm curious how you look at Public Cloud. So, you know, when I look at the public odd, they do a lot with government agencies. They got cloud. You know, I've talked to companies that said I could have built a super computer. Here's how long and do. But I could spend it up in minutes. And you know what I need? Is that a possibility for something of yours? I understand. Maybe not the super high performance, But where does it fit in? >> Sure, Yeah. I mean, certainly for a company that has no experience or no infrastructure. I mean, we have invested a huge amount in our data center, and we have a ton of power and cooling and floor space. We have already made that investment, you know, trying to outsource that to the cloud doesn't make sense. There are definitely things. Cloud is great. We are using Gove Cloud for things like prototyping, or someone wants a server, that some architecture, that we don't have the ability to just spin it up. You know, if we had to go and buy it, it would take six months because you know, we are the government. But be able to just spin that stuff up. It's really great for what we do. We use it for open source for building test. We use it to conferences when we want to run a tutorial and spin up a bunch of instances of, you know, Lennox and and run a tutorial. But the biggest thing is at the end of the day are our most important work. Clothes are on a classified environment, and we don't have the ability to run those workloads in the cloud. And so to do it on the open side and not be ableto leverage it on the close side, it really takes away some of the value of because we really want to make the two environments look a similar is possible leverage our staff and and everything like that. So that's where Cloud just doesn't quite fit >> in for us. You were talking about, you know, the speed of, Of of Sierra. And then also mentioning El Capitan, which is thie the next generation. You're next, You know, super unbelievably fast computer to an extent of ten X that off current speed is within the next four to five years. >> Right? That's the goal. I >> mean, what those Some numbers that is there because you put a pretty impressive array up there, >> right? So Series about one hundred twenty five PETA flops and are the big Holy Grail for high performance computing is excess scale and exit flop of performance. And so, you know, El Capitan is targeted to be, you know, one point two, maybe one point five exit flops or even Mohr again. That's peak performance. It doesn't necessarily translate into what our applications, um, I can get out of the platform. But the reason you keep sometimes I think, isn't it enough isn't one hundred twenty five five's enough, But it's never enough because any time we get another platform, people figure out how to do things with it that they've never done before. Either they're solving problems faster than they could. And so now they're able to explore a solution space much faster. Or they want to look at, you know, these air simulations of three dimensional space, and they want to be able to look at it in a more fine grain level. So again, every computer we get, we can either push a workload through ten times faster. Or we can look at a simulation. You know, that's ten times more resolved than the one that >> we could do before. So do this for made and for folks at home and take the work that you do and translate that toe. Why that exponential increase in speed will make you better. What you do in terms of decision making and processing of information, >> right? So, yeah, so the thing is, these these nuclear weapons systems are very complicated. There's multi physics. There's lots of different interactions going on, and to really understand them at the lowest level. One of the reasons that's so important now is we're maintaining a stockpile that is well beyond the life span that it was designed for. You know, these nuclear weapons, some of them were built in the fifties, the sixties and seventies. They weren't designed to last this long, right? And so now they're sort of out of their design regime, and we really have to understand their behaviour and their properties as they age. So it opens up a whole nother area, you know, that we have to be able to floor and and just some of that physics has never been explored before. So, you know, the problems get more challenging the farther we get away from the design basis of these weapons, but also were really starting to do new things like eh, I am machine learning things that weren't part of our workflow before. We're starting to incorporate machine learning in with simulation again to help explore a very large problem space and be ableto find interesting areas within a simulation to focus in on. And so that's a really exciting area. And that is also an area where, you know, GPS and >> stuff just exploded. You know, the performance levels that people are seeing on these machines? Well, we thank you for your work. It is critically important, azaz, we all realize and wonderfully fascinating at the same time. So thanks for the insights here on for your time. We appreciate that. >> All right, Thanks for >> thanking Robin Goldstone. Joining us back with more here on the Cube. You're watching our coverage live from Boston of Red Hat Summit twenty nineteen.
SUMMARY :
Have some twenty nineteen brought to you by bread. center along with Sue Mittleman. Good to see you. saw you on the Keystone States this morning. And you know, of interesting technology. five flops and the like, but tell us a little bit about, you know, kind of the why and the what And we really do care about just every little piece of the hardware you know, in the open source community. And you know, it's a lot of work to make it work for you. Let's get you know, We can modify it if we want, But you know what at the end of the day, were happy to hand over Is that the first time on one kind of the But so, you know, again that the service themselves So you run Infinite Band today. You know, if we could use it, if we could use Ethernet, And so obviously open source was, you know? came along when we showed that we could build a, you know, a cluster that So, you know, when I look at the public odd, they do a lot with government agencies. You know, if we had to go and buy it, it would take six months because you know, we are the government. You were talking about, you know, the speed of, Of of Sierra. That's the goal. And so, you know, El Capitan is targeted to be, you know, one point two, So do this for made and for folks at home and take the work that you do And that is also an area where, you know, GPS and Well, we thank you for your work. of Red Hat Summit twenty nineteen.
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Ashesh Badani, Red Hat | Red Hat Summit 2019
>> Announcer: Live, from Boston, Massachusets, it's theCUBE covering Red Hat Summit, 2019. Brought to you by Red Hat. >> Well, welcome back here in Boston. We're at the BCEC as we are starting to wrap up our coverage here of day two of the Red Hat Summit, 2019. Along with Stu Miniman, I'm John Walls, and we're now joined by Ashesh Badani, who is the senior vice president of Cloud Platforms at Red Hat. Been a big day for you, hasn't it Mr. Badani? >> It sure has, thanks for having me back on! >> You bet! All right, so OpenShift 4, we saw the unveiling, your baby gets introduced to the world. What's the reaction been between this morning and this afternoon in terms of people, what they're asking you about, what they're most curious about, and maybe what their best reaction is. >> Yeah, so it's not necessarily a surprise for the folks who have been following OpenShift closely, we put the beta out for a little while, so that's the good news, but let me roll back just a little. >> John: Sure >> I think another part of the news that was really important for us is our announcement of a milestone that we crossed, which is a thousand customers, right? And it was at this very summit and theCUBE definitely knows this well, right, because they've been talking for a while. At this very Summit in 2015, four years ago, that we launched OpenShift Version 3. Right and so, you know you fast forward four years, right, and now the diversity of cases that we see, you know, spanning, established apps, cloud native apps, we heard Exxon talking about AIML data signs that they're putting on the platform, in a variety of different industries, is amazing. And I think the way OpenShift 4 has come along for us, is us having the opportunity to learn what have all these customers been doing well, and what else do we need to do on the platform to make that experience a better one. How do we reimagine enterprise kubernetes, to take it to the next level. And I think that's what we're introducing to the industry. >> Ashesh I think back four years ago, kubernetes was not something that was on the tip of the tongues of most people here. Congratulations on 1,000. >> Thank you. >> I hear what, 100, 150, new customers every quarter is the current rate there, but what I've really enjoyed, talked to a CIO and they're like okay, we're talking about digital transformation, we're talking about how we're modernizing all of our environments, and OpenShift is the platform that we do it. So, talk a little bit, from a customer's standpoint, the speeds, the feeds, the technical pieces, but that outcome, what is it an enabler of for your customers? >> Yeah, so excellent points Stu, we've seen whole sale complete digital transformations underway with our customers. So whether it's Deutsche Bank, who came and talked about running thousands of containers now, moving a whole bunch of workload onto the platform, which is incredible to see. Whether it's a customer like Volkswagen, who talking yesterday, if you caught that, about building an autonomous, self-driving, sets of technologies on the platform. What we're seeing is not just what we thought we would only see in the beginning which is one built, cloud native apps, and digital apps, and so on. Or, more nice existing apps, and bring them on the platform. But also, technologies that are making a fundamental difference, and I'll call one out. So I'm a judge for The Innovation Awards, we do this every year, I have been for many years, I love it, it's one of my favorite parts of the show. This year, we had one entry, which is one of the winners, which is HCA, which is a healthcare provider, talking about how they've been using the OpenShift platform as a means to make a fundamental difference in patients' lives. And when I say fundamental difference, actually saving lives. And you'll hear more about their story, but what they've done, is be able to say, look how can we detect early warning signals, faster than we have been, take some AI technology, and correlate against that, and see how we can reduce sepsis within patients. It's a very personal story for me, my mother died of sepsis. And the fact that they've been able to do this, and I think they're reporting they've already saved dozens of lives based on this. That's when you know, the things that you're doing are making a real difference, making a real transformation, not just in an actual customers' lives, but in users and people around the world. >> You were saying earlier too, Ashesh, about looking at what customers are doing and then trying to improve upon that experience, and give them a more effective experience, whatever the right adjective might be, in terms of what you're doing with 4. If you had to look at it, and say okay, these are the two or three pillars of this where I think we've made the biggest improvement or the biggest change, what would those be? >> Yes, so, one is to look at the world as it is in some sense, which is what a customer's doing. Customers weren't deployed to hybrid cloud, right? They want choice, they want independence with regard to which environments are rented on, whether it's physical, virtual, private, or any public cloud. Customers want one platform, to say I want to run these next generation, cloud native, market service based applications, along with my established stateful applications. Customers want a platform for innovation, right? So for example, we have customers that say, look, I really need a modern platform because I want to recruit the next generation of developers from colleges, if I don't give them the ability to play with Go, or Python, or new databases, they're gonna go to some Silicon Valley company, and I'm going to deplete my pool of talent that I need to compete, right? 'Cause digital transformation is about taking existing companies, and making them digitally enabled. Going forward, what we're also seeing is the ability for us to say well maybe the experience we've given existing customers can be improved. How do we for example, give them a platform, that's more autonomous in nature, more self-driving in nature, that can heal itself, based on for example, there's a critical update that's required that we can send over the air to them. How can we bring greater automation into the platform? It's all of those ideas that we've got based on how customers are using it today, is what we're bringing to bear, going forward. >> Ashesh, one of the errors we have trying to help customers parse through the language is, everybody's talking about platforms, if you look at the public clouds, everybody's all in on kubernetes, a few weeks ago, we were at the Google Cloud event, talked to Red Hat there, there's Anthos, there's OpenShift, look at Azure, we Satya Nadella up on stage, and you're like, okay they've got their own kubernetes platform, but I've got OpenShift fully integrated there. >> Ashesh: Yeah. >> Can you help is kinda understand how those fit together because it's an interesting and changing dynamic. >> Well it's a very Silicon Valley buzzword, right? Everyone wants a platform, everyone wants to build a platform, Facebook's a platform, Uber's a platform, Airbnb is, everything's seeming a platform, right? What I really want to focus on more is in regard to, we want to be able to give folks literally an abstraction level, an ability for companies to say I want to embrace digital transformation. Before we get there, someone's like what's digital transformation, I don't even understand what that means anymore. My simple definition is basically flipping the table. Typically companies spend 80% on maintenance, 20% innovation, how do we flip that? So they're spending 80% innovation, 20% maintenance. So if we're still thinking in those terms, let me give you a way to develop those applications, spend more time and energy on innovation, and then allow for you to take advantage of what I'll call a pool of resources. Compute, network, and storage. Across the environment that you have in place. Some of which you might own, some of which some third parties might provide for you, and some of which you get from public cloud. And take advantage of innovation that's being done outside. Innovative services that come from either public cloud providers, or ISPs, or separate providers, and then be able to do that innovated rapid fashion, you know, develop, deploy, iterate quickly. So to me that is really fundamentally what we're trying to provide customers, and it takes different forms, internal packaging. >> Maybe you can explain to me, the Azure OpenStack seems different than some of the other partnerships. Two years ago, when we were sitting in this building, we talked to you about AWS with OpenShift in that partnership, so what's differentiated and special about the Azure OpenStack integration. >> Yeah, so the Azure partnership, it's a good question because we've now taken our partnering with the public cloud providers to the next level, if you will. With Azure there's a few things in play, first it's a jointly offered managed service from Red Hat and Microsoft, where we're both supporting it together. So in the case of OpenShift and AWS, that's you know OpenShift directly to the ring of service, in this case, it's right out of Microsoft, working close together to make that happen. It's a native service to Azure, so if you saw in the keynote, you could use a command line to call OpenShift directly integrate into the Azure command line. It's available within the interface of Microsoft-Azure. So it feels like a native service, you can take advantages of other Azure services, and bring those to bear, so obviously increases developer experience from that perspective. We also inherit all the compliances, certifications, that Microsoft-Azure has, as well, for that service, as well as all the availability requirements that they put out there, so it's much more closely integrated together, much better developer experience, native to Azure, and then the ability for the Microsoft sales team to go out and sell it to their customers in conjunction. >> You talk a lot about different partnerships, and bringing this collaborative, open-mindset to each and every relationship, how hard is that to do? Because you have your of way of doing things and it's worked very well, and yet, you go out and you have these new partnerships or extensions of partnerships, and not everybody with whom you work does things the same way, and so, everybody's gotta be malleable to a certain extent, but just in terms of being that flexible all the time, what does that do for you? >> So, we take that for granted sometimes, the way we work. And I don't mean to say that to be boastful, or arrogant, in any fashion. I had an interview earlier today, and the reporter said why don't you put on your page, that you're 100% open source? And I said we never put that on our page because that's just how we work, we assume that, we assume everyone knows that about us, and we're going forward. And he says, well, I don't know, perhaps there's others that don't know. And he's right. The world's changing, we're expanding our opportunities in front of folks. In the same way we've only and always known, we used to collaborate with others in the community, before we fully embraced OpenStack, there were certain projects that Red Hat was investing in that were Red Hat driven, and we say maybe there wasn't as much community around it, we're gonna go down and embrace and fully parse an OpenStack community. Same's the case, for example, in kubernetes too. It's not necessarily a project that we created on our own, in conjunction with Google, and many others in the community. And so that's something that's part of our DNA, I'm not sure we're doing anything different, in engaging with communities, just how we work. >> So, Ashesh, I know your team's busy doing a lot of things. We've been hearing about what sessions are overflowing, down in the expo floor, so why don't you give us some visibility. But there was one specific one I wondered if you could start with. >> Ashesh: Sure. >> So down on the expo floor, it's a containerized environment and it has something to do with puppies, and therefor how does that connect with OpenShift 4 if we can start there. >> That's a tough one, you're gonna have to go and ask the puppies how to make a difference in the world. (laughing) >> John: So we go from kubernetes to canines, (laughing) that's what we're doing here. >> I do believe they're comfort dogs, but there was coding and some of the other stuff, so give us a little bit of the walk around, the expo flow, the breakouts and the like, in some of the hot areas, that your team's working on. >> Fair enough, fair enough. Maybe not puppies, but maybe we're trying to herd cats, close enough, right? >> John: Safer terrain. >> The amount of interest, the number of sessions, with OpenShift, or container based technologies, cloud based technologies, it's tremendous to see that. So regardless if whether you see the breakouts that are in place, the customer sessions, I think we've got over 100 customers, I think. Who are presenting on all aspects of their journey. So to me, that's remarkable. Lots of interest in our road map going forward, which is great to see, standing room only for OpenShift 4 and where we're taking that. Other technology that's interesting, the work, for example, we're doing in serverless. We announced an OpenSource collaboration with Mircrosoft, something called KEDA, the Kubernetes eventually. Our scaling project, so interesting how customers can kind of engage around that as well. And then the partner ecosystem, you can walk around and see just a plethora of ISVs, we're all looking to build operators, or have operators and are certifying operators within our ecosystem. And then it's ways for us to expose that to our joint customers. >> We're gonna cut you loose, and let you go, the floor's gonna be open for a few minutes, those puppies are just down behind Stu, we'll let you go check that out. >> Alright, thanks, I hear you can adopt them if you want to, as well. >> Before we let you go see the comfort dogs, 1,000 customers, where do you see, when we come back a year from now, where you are, where you wanna see it go, show us a little bit looking forward. >> So there's been some news around Red Hat that has probably happened over the last few months, the people are hearing this, I look at that as a great opportunity for us to expand our reach into markets, both in terms of industries perhaps we haven't necessarily gone into, that other companies have been. Perhaps we say it's manufacturing, perhaps this is the opportunity for us to cross the chasm, have a lot more trained consultants who can help get more customers on the journey, so I fully expect our reach increasing over a period time. And then you'll see, if you will, iterations of OpenShift 4 and the progress we've made against that, and hopefully many more success stories on the stage. >> Alright, looking forward to catching up next year, if not sooner. >> Ashesh: Okay, excellent. >> John: And congratulations on today, and best of luck down the road. >> Thanks again for having me. >> And good to see you! >> Ashesh: Yeah, likewise! >> Back with more on theCube, you are watching our coverage live, here from Red Hat Summit, 2019, in Boston, Massachusetts. (upbeat techno music)
SUMMARY :
Brought to you by Red Hat. We're at the BCEC as we are starting to wrap up what they're asking you about, so that's the good news, that we see, you know, spanning, established apps, the tip of the tongues of most people here. is the platform that we do it. And the fact that they've been able to do this, or the biggest change, what would those be? and I'm going to deplete my pool of talent Ashesh, one of the errors we have Can you help is kinda understand how those fit together Across the environment that you have in place. we talked to you about AWS with OpenShift to the next level, if you will. and the reporter said why don't you put on your page, down in the expo floor, and it has something to do with puppies, and ask the puppies how to make a difference in the world. John: So we go from kubernetes to canines, in some of the hot areas, that your team's working on. Maybe not puppies, but maybe we're trying to herd cats, that are in place, the customer sessions, the floor's gonna be open for a few minutes, Alright, thanks, I hear you can adopt them Before we let you go see the comfort dogs, and hopefully many more success stories on the stage. Alright, looking forward to catching up next year, and best of luck down the road. you are watching our coverage live,
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Reza Shafii, Red Hat | Red Hat Summit 2019
>> Announcer: Live from Boston, Massachusetts, it's theCUBE. Covering Red Hat Summit 2019. Brought to you by Red Hat. >> Good to have you back here on theCube we are live in Boston at the Convention Center here. Along with Stu Miniman, I'm John Walls and on theCUBE we're continuing our coverage of Red Hat Summit 2019 in Boston, as I said. Joined now by Reza Shafii, who is the VP of Platform Services at Red Hat. Former CoreOS guy >> That's right. >> Stu actually has his CoreOS socks on, >> He told me. >> Today, yeah, so he came dressed for the occasion. >> Shh, can't see those on camera, John. I can't be wearing vendor here. >> Don't show it to the camera. >> Well I just say they're cool! They're cool. Glad to have you with us, Reza. And first off, your impression, you have a big announcement, right, with OpenShift. OpenShift 4 being launched officially on the keynote stage today. That's some big news, right? >> It's a big deal, it's a big deal. The way I think about it is that it's really a culmination of the efforts that we planned out when we sat down between the CoreOS leadership team and the Red Hat leadership team, when the acquisition was closed. And we planned this out, I remember a meeting we had in the white board room. We planned this out. In terms of bringing the best of OpenShift and CoreOS technology together. And it's really great to see it out there on the keynote, and actually all demoed and working. >> And working, right? Key part. >> Reza, dig in for us a little bit here, because it's one thing to say okay, we got a white board and we put things together. You know, when I looked at both companies, at first both, CoreOS before the acquisition and Red Hat, I mean open source, absolutely as its core. I remember talking to the CoreOS team, I'm like, you guys are gonna build a whole bunch of really cool tools, but what's the business there? Do you guys think you're gonna be the next Red Hat? Come on. Well, now you're part of Red Hat. So, give us a little bit of the insight as to what it took to get from there to the announcements, CoreOS infused in many of the pieces that we heard announced this week. >> Yeah, so the way I like to think about it is that Red Hat's OpenShift's roots, it started with making sure that they create a really nice comfortable surface area for the deaf teams. The deaf teams can go in and start pushing the applications and it just ensures that it's running those applications in the right way. The CoreOS roots came from the operations perspective and the system administrator. We always looked at the world from the system administrator. Yes, you're right, CoreOS had a number of technologies they were working on, etcd, Rocket, clair. I used to joke that there's a constellation of open source services that we're working on, but where is the one product? And, towards the end, right before the acquisition, the one product I think was pretty clear is Tectonic, the Kubernetes software. Now, if you look at Tectonic, the key value difference was automated operations. The core tenants of what Alex Polvi and Brandon Philips said into the mindset of the company was we're outnumbered, the number of machines out there is going to be way more than we can handle, therefore we need to automate all operations. They started that on the operating system itself, with CoreOS, the namesake of the company. And then they brought that to Kubernetes. What you see with OpenShift is, OpenShift 4, you see us bringing that to, not only the Kubernetes core, that's the foundation of OpenShift 4, so all capabilities of running Kubernetes are automated with 20 plus operators now. But you see that apply to all the other value capabilities that are on top of OpenShift as well, and we're bringing that to ISV. I was walking around and a number of ISV's have their operators as the number one thing they're advertising. So you're seeing automated operations really take hold and with OpenShift 4 being a foundation for that. >> You talk about operations or operators, you have Operator Hub that was launched earlier this year, what was the driving force behind that? And then ultimately what are you trying to get out of that in terms of advancement and going forward here? >> Right, I think it means it's worked. Going back a little bit of history on this, the operator pattern was coined at CoreOS as a way to do things on a Kubernetes cluster to automate operations. The right way. You have to expose it as a proper API, you have to use a controller, so on and so forth. Then as the team started doing that we realized well there's a lot of demand for this pattern, we started documenting it, describing it better and so on. But then we realized there's a good case for a framework to help people build these automations. Therefore we announced the operator framework at Cubeacon. I think it was a year and a half ago. What happened then was interesting, suddenly we started seeing hundreds plus operators being built on the operator framework. But, it was hard because you could see five Redis operators, 10 MySQL operators. It was hard for our customers to know where can I find the right set of operators that have the right functionality and how do they compare to each other? OperatorHub.IO is a registry that we launched together with AWS, Google and Microsoft to solve for that problem. Now that we have a way to create operators easily and capture that automated operations, we have sort of created a pattern and a framework around it, where do you go to find the right set of operators. >> It's an interesting point because if you look in the container space, especially Kubernetes, it's like, okay well what's standardized, what works across all of these environments? We always worry, I've probably got some pain from previous projects and foundations as to well what's certified and what's not and how do we do that? So, did I see there's a certification now for operators and how do you balance that we need it to work everywhere, we don't wanna have it's Red Hat's building an open ecosystem not something that's limited to only this? >> Yes. So OperatorHub.IO is a community initiative. And, every operator you find on there should work on any Kubernetes. So in fact as part of the vetting process we make sure that that's the case. And then on the certification we launched today, actually, and you can see a number of, we have already 20 plus operators that are certified. This is where we take it a step further and we work with the vendors to make sure that it works on OpenShift. It's following a number of guidelines that we have, in terms of using, for example, Rail as the basis. They work with us to run the updates through security checks and so on. And that's just to give our enterprise customers more levels of guarantees and validation, if they would like to. >> So what are they getting out of that, out of the certification system? What, I guess, stability and certainty and all those kinds of things that I'm looking for, standardization of some kind, is that what's driving that? >> It's simple, at the end of the day they got three things. They get automated updates that are pushed through the OpenShift update mechanism. So if you are using the Redis one, for example, and it's certified, you're gonna be able to update the Redis operator through the same cluster administration mechanism, then you would apply it to the entire cluster itself. You see updates from Redis come in, you can put it through the same approval work so on, so on. The second is they get support. So they get first line of support from Red Hat. They can call Red Hat, our customers and actually we work with them on that. And the third is that they actually get that security vulnerability scans that we put them through to make sure that they pass certain checks. And actually one last one, they also get Rail as the basis of the operator, so, yup. >> Reza, help bring us into the customer point of view. What does all this mean to them, what are the big challenges, how do they modernize their applications and get more applications moving along this path? >> Yeah, in this case the operator customer is mainly the infrastructure administrators. It's important to point that out. The developers will get some benefit on that in that it's self service, so the provision, but there's other ways to do that as well. You can go to a Helm chart, deploy that Helm chart, you get that level of self service automated provisioning. To go ahead and configure for example, a charted MongoDB database on a Kubernetes cluster, you have to create something like 20 different objects. And then to update that to change the charts, you have to go and modify all those 20 different objects. Let's just stay at that level alone. An operator makes that before different parameters on a yaml file that you change. The operator takes that and applies all these configurations for you. So, it's all about simplifying the life of the infrastructure administrators. I truly believe that operators, human operators, infrastructure administrators are one of the least appreciated personas right now that we have out there. They're not the most important ones, but there is a lot of pain points and challenges that they have we're not really thinking about too much. And I think OpenShift goes a long way and operators go a long way to actually start thinking about their pain point as well. >> So what do you think their reaction was this morning when they're looking, first off, the general announcement, right? And then some of the demonstrations and all those things that are occurring? Is there, do you have or are you talking to customers? Are you getting the sense of relief or of anticipation or expectation? I mean, how would you characterize that? >> Think they're falling into a couple of different buckets. There's the customers we've talked to, for awhile now, that know this stuff, so this is not super new to them, but they're very happy to see it. There's one big automaker that's a customer of us and the main human operator was telling me awhile ago that he does not want any service on the cluster unless it has an operator, this is a year and a half ago. And he kept pushing me well I want a Kafka one and I want an Elasticsearch one, and you know. And we, CoreOS, were too small to try to build that ourselves. Obviously that's not, we can't maintain a Kafka operator and a CoreOS one. Now, he's able to go to our operator APP, he's gonna be able to get a Kafka operator that's maintained by Kafka experts. He's gonna be able to get a Redis operator that's maintained by Redis experts. So that bucket of customers are super happy. And then there's another one that's just starting to understand the power of all this. And I think they're just starting to kick the tires and play around with this. Hopefully they will get to the same point as the first bucket of customers, and be asking for everything to be operator based all the time. >> Convert the tire kickers, you're gonna be okay, right? >> That's right. >> Thank you for the time. >> Thank you. >> We appreciate that and continued success at Red Hat, and, once again, good to see you. >> Thank you, always a pleasure. >> You bet. Live, here on theCUBE, you're watching Red Hat Summit 2019. (upbeat music)
SUMMARY :
Brought to you by Red Hat. Good to have you back here on theCube I can't be wearing vendor here. Glad to have you with us, Reza. of the efforts that we planned out when we sat down And working, right? many of the pieces that we heard announced this week. is going to be way more than we can handle, Then as the team started doing that we realized and you can see a number of, we have already 20 plus It's simple, at the end of the day they got three things. What does all this mean to them, And then to update that to change the charts, and the main human operator was telling me awhile ago and, once again, good to see you. Live, here on theCUBE, you're watching Red Hat Summit 2019.
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Steve Brown & Eric Kern, Lenovo | Red Hat Summit 2019
(upbeat music) >> Narrator: Live from Boston, MA it's theCUBE covering Red Hat Summit 2019. Brought to you by Red Hat. (upbeat music continues) >> It is so good to have you back with us here on theCUBE as we continue our live coverage here at the BCEC at Red Hat Summit 2019. Glad to have you watching wherever you might be, Eastern Time Zone or maybe out West. Stu Miniman, John Walls here. Our coverage continuing; sixth year we've been at this summit. Eric Kern now joins us here. Both from Lenovo, Eric and Steve Brown. Eric is the Executive Distinguished Engineer. And Steve is the Managing Partner in the Software Business Unit and the DevOps practice leader. So gentlemen good to have you with us on theCUBE. Good to see you today! >> Thanks for having us. >> Thank you. >> No surprise, right, that you're here; long term partnership, very successful get together. First off, I want your ideas or your impressions of what you've hear or what you've seen so far here in the day and a half that we've been underway. And whether it's keynote or maybe one of the side sessions, just what's your first impression of what's goin' on here? >> Yeah, I mean it's great. There's a lot of people here, a lot of activity. I mean we can see the Expo behind us. You know the food is great, lunch is great so- (laughter) >> Rub it in. (laughter continues) Rub it in just a little bit. Okay, so a little bit of news this week with regard to what you're up to. And if you would, I'm not gonna ask you to go terribly deep, but just give us an idea of what some of the headlines are you guys were sending out this week. Steve, why don't you take that? >> Yeah, so this week we announced six new reference designs and solutions, engineered solutions. But pretty excited about OpenShift 4 and certainly Rel8 after a five year I guess pause, if you will, on major releases. So that's exciting. >> So, Eric, why don't we start with building on those partnerships, talk about some of the solutions your talking to customers and some of the latest and greatest? There's a lot of interesting things we're doing; one of the things we've been doing recently is around TruScale. So TruScale is our infrastructure as a service on premise. So one of the things we do with it is we build overall solutions. So there's a number of reference architectures that we talked about with Red Hat. These solutions, think about them as having an overall CapEx price and then we convert that into a OpEx price. Probably one of the neat novel things, and this is kind of the area that I really got into, right, is around how do we build a metering system that doesn't require us to install a bunch of software and can be compatible with everything? So with TruScale what we've done is we've leveraged our what's called our xclarity controller, it's the chip basically on the motherboard, and that xclarity controller has the ability to measure power. And measure power both at the overall input consumption, as well measuring power in the CPU, the memory and the eye out. And we built an infrastructure around that. We can actually tell you exactly what percentage the system is being used and consumed based on that. And we can charge for the overall system on a monthly basis. So we have a portal that's set up for that, whether it be our hardware on its own or our hardware with the Red Hat software installed on top of it. >> So how's that effect the customer relationship then? All the sudden your- whether there was a- not I'd say a dispute, but might of been questions about how much usage am I getting? How am I using this? Why am I being billed as I'm being billed? So on and so forth. Now all the sudden you can just deliver the proof's in the pudding, right? You can say this is exactly what you're doing with this, this is exactly how much you're consuming. And I would assume from a pricing standpoint for that modeling standpoint, you give everybody a lot of comfort, I would think; right? >> You do, right. Not only do they see exactly what they're being charged for, they see exactly some of the usage on their own systems. A lot of times they don't know how well-balanced or unbalanced their systems are. And so we're actually providing real usage data. It's different than what you get in public cloud. It's different in what you get in other solutions where it's virtual allocation. So there's a difference in knowing the physical utilization versus the allocated utilization. What a lot of people do, a lot of companies do when they're renting public cloud infrastructure is they spend a lot of time in automation to actually deallocate. Right, so they're doing all this work just to try to save money. Whereas in the TruScale model, you just run it like you normally run it and you save money because you know, if you're not using it, you're not paying for it. >> John: You don't pay for it. >> Exactly, exactly. >> All right, well Steve, a lot of discussion at the show this week about OpenShift, not least this morning, OpenShift 4 was released. We've had a chance to talk to a number of customers, bring us inside, you know, Lenovo's worked with OpenShift for awhile. Oftentimes we think about the application layers like oh, it's totally divorced, I don't need to think of it. Well, we understand there's integration work that happens there and would love your insight into what is happening at he integration, where it's progressed, and any customer stories that you've got along those lines. >> Well, yeah, we've been doing a lot of work with OpenShift. I would say for an upwards of more than two years. We started with Intel and Red Hat and built a number of Intel Select solutions, reference designs, both bare metal and hyper converged. We are on our fifth edition now of the OpenShift design on Cascade Lake. We're the, I wanna say the pioneers in the industry. We have a center of competency in DevOps with software to really promote software development solutions. And we're excited with OpenShift 4 because of the CoreOS integration as well as the auto-provisioning. Key things, it makes it so much easier to adopt and integrate. >> Any customer deployments? When they come to you, what's the kind of a-ha moment that they have? Is it just the agility that it brings them? Is there anything you can share as to the customers that are actually doing this in the field? >> Well, I like to think the customers get the a-ha when they realize that there is an engineered platform that's been purpose built and they're not coddling software and tools together. It helps with the CI/CD pipeline process templating much more effectively. Overall it's, I think, a lot more streamlined than it was in the earlier editions of OpenShift, especially Open Source. So we're pretty excited with comprehensive business support. I think that businesses feel comfortable. >> Kind of a simple question, but what do you, in terms of what TruScale operates now, what is the- what are you allowing people to do now that they didn't do before? In the latest version here, what exactly is- where's, you think, this improvement? Or where's the new efficiency? What are they getting out of it that would make me, as a customer, have that- if I haven't converted yet, or if I'm perhaps ripe for the taking, what would make me jump? >> Part of it is customers don't want to be managing their infrastructure. And so this there's a big push to public cloud. They just wanna be managing their applications. They just wanna focus on what's paying the bills, right? And paying the bills are providing the IT service is all in the application layer for the most part. What TruScale allows them to do is to have that public cloud kind of management platform. So it's Lenovo premium support behind the scenes; so Lenovo is managing the hardware itself, Lenovo maintains the ownership of the hardware, so they're not even owning the hardware, very similar to public cloud. And they can go and use it on FREM. So they don't have to worry about any security issues with the public cloud. They don't have to worry about any kind of network issues, right, it's all in their data center. It's running just exactly the way they'd run CapEx, but they're running in the way that they have really liked with the public cloud infrastructure. >> So confidence, comfort, security and all that stuff right? >> Eric: There ya go. Yeah. >> Yeah, that's just- I'll pay for that! >> Sure! (laughter) So, we've seen software move heavily towards this model whether it be SaaS or various moving CapEx to OpEx. When I look at infrastructure it's been a little bit of a slower move, especially, I've got some background on the storage side, if you look at storage, it's like oh okay. I'm conditioned as a customer to think about my capacity, my performance, and how I'm tuning everything, and I need to make adjustments, and making changes usually takes a little bit longer. Red Hat's got a lot of software products in the storage space. Help us understand how this fits in and are customers gettin' more comfortable moving from the CapEx to the OpEx for their uses? >> Yeah, good segue. So Ceph and Gluster are some really interesting storage products from Red Hat. And they fit right on our servers, and so we install them; we build big solutions around both of them. I'm actually working on big architecture for another company, for another customer out in Germany. So it's huge stuff cluster. The neat thing about it is our TruScale model allows us to actually sell them on OpEx in a storage product. And what we're measuring is the storage, what I call storage in motion versus the storage at rest. So we see all the different usages of the different servers. The servers are acting as controllers, a multi-tenant controller. And there's a lot of information that's being stored and transmitted through the systems. TruScale's just accumulating all the usage of that. And Steve, maybe you want to talk about some of the software side of it from the storage perspective, but it's really, TruScale fits right in real nicely with the storage side of it. >> I'd actually like to talk about it more comprehensively from the Red Hat software side of it. Anywho, let's talk about how they're already no certification needed. We're looking at all Red Hat applications on TruScale; whether it's OpenShift, or Rel8, Gluster, Ceph, Ansible. So we're really excited because we're not limited in the portfolio. >> Exactly. Exactly. >> Yeah. >> So, Steve, it's interesting, you used to think about, okay, what boxes am I buying, what license I'm doing. If you talk about a real true software world it should be a platform that unifies these things together. So it sounds like you're saying we're getting there. I shouldn't have to think about- give us a little bit, kind of the old way and where customers are seeing it today. >> Yeah, well we're not getting there. We're there. What that allows us to do is to take the reference designs that we have and the testing that we've previously validated with Intel and Red Hat and be able to snap pieces together. So it's just a matter of what's different and unique for the client and the client's situation and their growth pattern. What's great about TruScale is that in this model we can predicatively analyze their consumption forward based on the business growth. So for example, if you're using OpenShift and you start with a small cluster for one or two lines of business, as they adopt DevOps methodologies going from either Waterfall or Agile, we can predicatively analyze the consumption forward that they're gonna need. So they can plan years in advance as they progress. And as such, the other snap-ins, say storage, that they're gonna need for data in motion or data at rest. So it's actually smarter. And what that ends up doing is obviously saving them money, but it saves them time. The typical model is going back to IT and saying we need these severs, we need the storage and the software, and bolt it altogether. And the IT guys are hair on fire running around already. So they can, as long as IT approves it, they can sort of bypass that big, heavy lift. >> So from what you've heard of this week, with Rel8, the big launch last night, a lot of fun, right? >> Steve: Yeah. >> And then OpenShift 4 earlier today talked about- >> Yeah. >> What if there are elements to those two, either one of them, that you find most attractive? Or that really kinda jump off the page to you? Is there anything out there that you're seein' or through the demos that we saw today, or last night even that you think wow, that's cool, that's good, that this is gonna be useful for us? >> OpenShift is one of the things that we're seeing in the industry that's just really enabling the whole DevOps practice. So OpenShift is interesting from the perspective of flexibility, automation, the tooling. Rel8, of course, we've all been waiting for it, I guess for a while now probably. >> Host: Right. >> It's just the next level, the next generation. The Red Hat software, see I'm a big fan of Ceph. I mean I just like Ceph, it's just a neat storage product. It's been around for awhile, but it keeps getting better. It's kinda like the old storage product that first came out with some soft-refined storage. But the whole ecosystem around Red Hat is just very appealing. I actually, Cloudforms is one I think is a little under-utilized today. Cloudforms is a real nice cloud management platform as well. So there's a lot of interesting Red Hat software. Steve, we've done all these reference architectures, are there any ones that stick out to you? I've just been kind of rattling off some of the ones that I like. >> Yeah, I really like the CoreOS integration, 'cause we now see that acquisition really taking shape in a true productization sense, in a practical use sense. I think with Red Hat owning that asset and controlling the development, they can build out features as needed. They're not having to wait on the ecosystem or to spin different cycles for growth. So I think that's my highlight. I've been looking for that. And auto-provisioning as well. I think that's a really key benefit to it, just to make things more smooth and simple. >> Well gentlemen, thanks for the time. >> Guest: Sure. >> Nice to meet you. Look forward to seeing you down the road. We were talkin' about Lenovo, Stu and I were there a couple of years ago, Ashton Kutcher out in San Francisco, so now we get the two of you guys. You're right there with Ashton, right? (laughter) >> That's right. >> Same celebrity! Thanks for sharing the time. Good to see you guys. >> Eric: Thank you. >> Steve: You too. >> Back with more live here at Red Hat Summit 2019, we're in Boston, and you're watching theCube. (electronic music)
SUMMARY :
Brought to you by Red Hat. So gentlemen good to have you with us on theCUBE. here in the day and a half that we've been underway. You know the food is great, lunch is great so- of what some of the headlines are you guys I guess pause, if you will, on major releases. So one of the things we do with it So how's that effect the customer relationship then? Whereas in the TruScale model, at the show this week about OpenShift, of the OpenShift design on Cascade Lake. So we're pretty excited with comprehensive business support. So it's Lenovo premium support behind the scenes; Yeah. from the CapEx to the OpEx for their uses? TruScale's just accumulating all the usage of that. in the portfolio. Exactly. I shouldn't have to think about- and the testing that we've previously validated So OpenShift is interesting from the perspective It's just the next level, the next generation. and controlling the development, so now we get the two of you guys. Thanks for sharing the time. Back with more live here at Red Hat Summit 2019,
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Niall Fitzgerald, Spark NZ | Red Hat Summit 2019
>> Man: Live from Boston, Massachusetts, it's theCUBE, covering Red Hat Summit 2019. Brought to you by Red Hat. >> And we are back live in Boston as we continue our coverage here on theCUBE of Red Hat Summit 2019. It is our sixth year here at the show and this year obviously some huge announcements. A significant moment it's been for Red Hat, we heard from Jim Whitehurst a little bit ago. Stu Miniman, John Walls, we're now joined as well by Niall Fitzgerald, who is the GM of IT Application Architecture and Design at Spark NZ. Niall, good afternoon, or I guess good morning still we're in an Eastern time zone. >> Yeah it's the middle of the night in New Zealand I'd say. >> Yeah, so Spark NZ New Zealand. Tell us a little bit first off about Spark NZ. What the folks back home are doing right now, work-wise, and your role with the company. >> Yeah, so Spark is the largest provider of telecommunication services in New Zealand. All the traditional type of services you'd expect, mobile, broadband, et cetera. We came out of the traditional kind of post office, so we've a lot of heritage, and about four years ago we rebranded from Telecom New Zealand into Spark. To represent that we were changing from being a telco into much broader range of digital services. Our purpose is to help all New Zealanders win big in the digital world. >> Niall, step back for a second. Talk to our audience that might not know the telecom industry as well as you, I've been an observer and participator in the industry but you know back in the dot com boom it was like limitless bandwidth and we're gonna do all these wonderful things, and cloud and digitization, have put some new opportunities as well as stresses and strains on your industry so, you know what's going on and you said you rebranded? >> Yeah, look, I think it's well-known it's been a tough last few years for most telcos in the world. I was listening to Red Hat talking yesterday about 60 consecutive quarters or more of growth, I don't think there's any telco in the world that probably has the same story. Like most, we're facing kinda decline in all the traditional revenues like voice and text and things like that, so we're all having to kinda rebrand ourselves and deliver much higher levels of customer service. People expect the same levels of service from us that they do from Amazon, Google, and everyone else. In Spark what that means to us is we've moved into lots of new things as you said, things like ICT, we're now very big in cloud, we've recently launched a Spark Sports brand and we've got streaming right to the key events like Formula 1. We're going to stream the Rugby World Cup, which is a massive event for New Zealanders, so looking forward to seeing that and Ireland on the all blacks in the final in September this year. So yeah, lot going on. Tough times but forcing us to keep changing every year. >> And so, about these changes that you're making whether technologically based, let's just deal with that. What is that ultimately going to do for you in terms of better customer service delivery? So, you've got inherent challenges, you've talked about them at all, that the world's changing, how we use this medium, this communication opportunity is changing, and you've been just a little behind the wave, hard to keep up with it, so rapidly changing. How much of a challenge is that? And then how are you going to address this going forward? How do you stay relevant? >> Yeah I think we're lucky in one regard because if I look back about five, seven years ago we were like most traditional telcos. We had a spaghetti for want of a better description of systems, and then we had all was multiples of everything, at the time we had 19 integration layers and 10 billing systems and it wasn't uncommon. But way back in 2012 we actually embarked on a massive transformation program, and we spent five years consolidating all of that infrastructure so going into about 2017 we were very lucky in that we had a massive foundation laid already, so what that then enabled us to do was to actually push away calls from our contact centers into mobile apps, into digital adoption. We've been a big embracer of things like big data and robotic process automation as well to try and take cost out of our industry. So, I think we're quite well placed. Now that allows us to do things like innovate new products for our customers so we bundle things like Spotify and Netflix. It allows to introduce things like Spark Sports brand, which we couldn't have done five years ago before the transformation We just wouldn't have been able to enable these things with our existing kind of legacy IT estate. >> So how's open-source play into all this for you? >> Yeah open-source, I suppose our first foray into open-source was when we went to start embracing big data and automation. So we started using things like Hadoop and various other things and our entire platform is based around open-source. We changed to an IMS network recently and we started embracing things like OpenStack, and then it really took us to a new level recently when we started working on Red Hat's Fuse, and OpenShift we started implementing that. >> Okay, so the OpenStack show for many years, the last few years we saw the telcos coming in specifically for network function virtualization or NFV. Is that what you're using in that space? >> Yeah, we are. Interestingly, at this conference I've heard a lot of people talk about OpenShift and OpenStack, obviously, particularly in the telco game. We actually came out a bit differently from the application space. So we had an integration platform that we had put in through this transformation phase which had served us well, and was connecting all of our 40, 50 systems together. But it was coming up to a life cycle event, and we decided we'd look externally and see had we options beyond just upgrading it. So we started looking around, and we effectively found Fuse, and in bringing in Fuse we then brought OpenShift in, which is quite different to what I've seen from a number of other people, they're bringing in things like OpenShift and building on top of it. We did it the other way around, you know? And we did it primarily for cost reasons, you know? >> Yeah, so talk a little bit about that impact of Fuse and OpenShift, what that means. Were you already down the containerization journey, or did that help drive >> Niall: No, no some of that modernization? >> That's exactly what happened. If I'm honest we hadn't really explored containerization too much because we had come to the end of our kind of transformation journey. Open-source and containerization wasn't around when we went through that. So we kinda needed some really core reasons to move on, so, yeah effectively what happened was we looked at Fuse, I was gonna say primarily for cost, but we were looking for something that we could migrate to where it makes sense. We were looking for something that wasn't a massive lift for the people who worked in our integration already, so they could be rescaled into it, and interestingly we turned agile recently which has changed the way we look at the needs of our systems. So our old integration platform, if we needed to deploy a change we had to take an outage, which was fine when we had a centralized IT department who deployed once a month and took a two hour outage, but when you have 20 tribes all developing features in isolation and they wanna go straight through to production, if everybody took an outage then our systems wouldn't really be up very often. So one of the key things that we were looking at for our new integration platform was can we deploy hot and can we scale? So that's basically where Fuse came into us. >> Okay, so can you? >> We can and we do. Still a little bit nervous about pressing the button mid-day and doing stuff >> Right, simultaneously and thinking this has really gotta work, right? >> Yeah then normally, >> We saw it today though on the demo stage, on the keynote. You know, simultaneous operations going on. >> No, we do it, and they normally don't tell me when they're doing it they just do it and tell me it worked afterwards, but no it's actually been really successful and you can imagine connection 40 or 50 systems together is effectively the equivalent of about 2,000 API's and we managed to migrate, we're about 70% of the way through. But we've managed to migrate those without actually impacting the systems that use them and that's probably been one of our most successful IT projects that I've seen. >> It's funny, you said we were towards the end of our transformation journey, and of course I think we all understand, it is just, I might've reached a marker in my journey, but it needs to be a continuous process. And you went through an agile transformation. So bring us in a little bit. Organizationally, what happened there. Some of the good, the bad, and the ugly of agile, 'cause I mean agile's always an ongoing thing. >> It is, yeah. So about the start of last year we started to think about agile and the need to change our ways of working. And we looked at a number of models overseas, and companies like Spotify and various banks, and we settled on a model of chapter and tribes. And we took about six months in looking at what that meant for us as an organization and all of the things that we needed to change. Everything from, people's contracts to people's titles. We got rid of all complex titles and moved down to simple things like Developer, Tester, et cetera. We had to train our people in agile so we ran boot camps for over 2,000 people. We had one with 500 people attend. We had to review all of our processes and see where we had centralized things like IT governance or procurement. How do you actually manage this when you have up to 20 different people effectively, or tribes doing their own developments, so over a period of about six months we went through all of these. We started with a concept of some forerunner tribes so we could figure out how this thing actually works, you know? And get some lessons. And then on the first of July last year, about a 2,000 people in various buildings packed up their stuff in their desks and moved into a new world, into their tribes with different working spaces and different collaboration areas and all the tools that we need. So, yeah we're about nine months down that journey now and it's been good. >> How many total employees? >> We have about 5,000 in total. >> 5,000, so you had 500 at one time. 10% of your workforce in training at one time. >> That's right, yeah. Absolutely. >> How do you keep the wheels on the bus rolling? Because I mean you're asking people not only to learn new skills, but learn them in a new environment, and learn them literally in a new place. I mean that's just massive change and I think, we're human beings. We're creatures of habit to a certain extent. You had to hit a lot of bumps along the way. >> Yeah, so one of the key things we did upfront was we said the operate part of our business, which is effectively things like our contact center, our sales staff, our service desks, we will not go agile with those on the first day, because they operate in a slightly different way of working. The people in our stores, et cetera. So we had a concept of agile light and agile heavy. So we kinda parked them for a minute so that we wouldn't do exactly what you say and let the wheels fall off the trolley. And we took to people that were the IT developers, the product development staff, and all of that, which came to just over about 2,000 people, and we firstly flipped those 2,000 people and put those through bootcamp. But even as you say, scheduling the boot camps, we made sure that we always had the right people on the ground and we would schedule smaller boot camps for them later if we needed to do it, but yeah. >> So nine months in now. You talking to your peers, if they're gonna go through. Any key learnings, what were some of the most challenging things that you ran into? >> I think probably the major one is that agile at its heart is a way of working, and despite the name it's actually quite prescriptive in how you should work, you know? When you pick up the agile book it tells you all the ceremonies you need to run and the processes that you need to run as well. And I think you need to be pragmatic in how you implement it because there are so many different flavors of agile. The one flavor, even with an organization of Spark size, it doesn't work. So the tribes and squads that are building out new products compared to the tribes that are doing things like upgrading systems, they will work in different ways. So I think the first thing is be pragmatic, take the goodness and the intent of agile, but implement it in how it works for you. And there's some other practical considerations, like prior to being agile we had quite a large number of our technology partners were based offshore in India, and you know it's quite difficult to run a 10 AM stand up in New Zealand setting the priorities for the day and the sprint plans, when, you know, four members of your team are asleep in India. You know, they're missing out on all of the goodness and the collocation and the sharing, so one of the things we had anticipated that, so luckily enough we had moved a lot of those people onshore in advance of agile, you know? But it is a big cultural change for everyone in the organization, not least the leadership teams as well. >> John: Well you got through it. >> We got through it, but there's no going back. >> Absolutely, no you're in the deep end now. Well, Niall, thanks for being with us, we appreciate the time joining us here on theCUBE, and I think that an Irishman is always welcomed in Boston. >> Thank you very much! We've been enjoying the hospitality. >> Yeah the door's always open. >> Thank you very much. >> Thank you very much. Niall Fitzgerald, joing us from Spark NZ. Back with more here on theCUBE, you're watching this live at the Red Hat Summit 2019.
SUMMARY :
Brought to you by Red Hat. And we are back live in Boston and your role with the company. To represent that we were changing from being a telco in the industry but you know back in the dot com boom and Ireland on the all blacks in the final that the world's changing, how we use this medium, at the time we had 19 integration layers and we started embracing things like OpenStack, Okay, so the OpenStack show for many years, Fuse, and in bringing in Fuse we then brought OpenShift in, Yeah, so talk a little bit about that impact So one of the key things that we were looking at We can and we do. We saw it today though on the demo stage, on the keynote. and we managed to migrate, and of course I think we all understand, and all of the things that we needed to change. 5,000, so you had 500 at one time. That's right, yeah. and I think, we're human beings. Yeah, so one of the key things we did upfront things that you ran into? so one of the things we had anticipated that, we appreciate the time joining us here on theCUBE, We've been enjoying the hospitality. Thank you very much.
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Arvind Krishna, IBM | Red Hat Summit 2019
>> Announcer: Live from Boston, Massachusetts. It's theCUBE, covering Red Hat Summit 2019. Brought to you by Red Hat. >> And welcome back to Boston. Here on theCUBE we continue our coverage of Red Hat Summit 2019. We just had Jim Whitehurst on, President and CEO, along with Stu Miniman, I'm John Walls. And now, we turn to the IBM side of the equation. Arvind Krishna is with us, the SVP of Cloud and Cognitive Software at IBM. Arvind, good to see you this morning. >> My pleasure to be here, what a great show. >> Yeah, absolutely, it has been. I was telling Jim he couldn't have a better week, right? Monday had good news, Tuesday great kick off, today again following through great key notes. We were talking briefly, a year ago you were with us on theCUBE and talking about IBM and its forward plans, so on and so forth. What a difference a year makes, right? (laughs) >> We couldn't predict that you'd be in the position that you are in now, so just if you can summarize the last year and maybe the last six months for you. >> Sure, and I think it's more building on what I talked to you about a year ago, I remember last May, May of 2018, in San Francisco. So I was exposing very heavily, look the world's going to move towards containers, the world has already embraced Linux, this is the time to have a new architecture that enables hybrid, much along the lines that Jim and all of the clients as well as Ginni and Satya were talking about on stage yesterday. So you put all that together and you say that is what we mentioned last year and we were clear, that is where the world is gonna go. Now you step forward a few months from there into October of 2018 and on the 29th October we announced that IBM intends to acquire Red Hat, so then you say wow, we put actually our money where our mouth was. We were talking about the strategy, we were talking about Linux containers, OpenShift, the partnership we announced last May was IBM software products together with OpenShift. We already believed in that. But now this allows us coming together, it's more like a marriage than sort of loose partners passing each other in the middle of the night. >> Right. >> And that then goes forward, you mention the news on Monday so for our viewers that don't know it, that's the news that the United States Department of Justice approved merger with no conditions. So now we've got to wait on a few other jurisdictions and then hopefully we can get together really soon. >> John: Right, right. >> So, I think back to looking at IBM over my career. I think the first time I heard the word coopetition it was related to IBM because IBM, big ego system, lots of innovation over its long history but as we know the bigger you get, the more chance that your partners are also going to overlap with you. Seeing Ginni up on stage and a little bit later seeing Satya up on stage is really interesting. You look at the public, multicloud environment, everybody doesn't need to work together, you talk to your customers, and I'm sure you find today it's not the future is hybrid and multicloud, that's where they are today even if they're trying to get their arms around all of it. So I'd love to hear your, with the mega trend of Cloud, what you're seeing that competitive but partnering dynamic. >> Look, I want to step back to just give it a little bit of context. So when you talk about companies, let's go back to the beginning of computing, of PC. The PC came from IBM operating system, DOS came from Microsoft. Then you had Windows setting up the IBM PC. So that's coopetition or is that pure partnership? Right, I mean you can take your pick of those words. Our value has always been that we, IBM, come to clients and we try to service problems that actually help them in their business outcomes. Then whoever they have inside their IT shops, that they depend upon, has to be a part of that answer. You cannot say oh, so and so is bad, they're out. So it always had to be coopetition from the lengths that we came to with our clients. We always build originally computers, other people's software are on those computers, other people provided services around it. As we went into certain software space, ISVs and so on came together. So now that you come to the world of Cloud, we hold a very fundamental belief and I think we heard a number of the clients talk about this. They are going to be on multiple public Clouds. If they are going to be on multiple public Clouds, they are also going to have traditional IT and they are also going to have private Clouds. That's the world to live in if I look at it from the viewpoint of that infrastructure. To now come to your direct question, so if that's the world they're going to live in hopefully one of those public Clouds is ours but the others are from other people. The private Cloud, we believe the standard for that should be OpenShift and should be containers. So as we go down that path, then you say if you want to take that environment and also run it on the other publics. That's good for the client, that's good for the publics, that's good for us. It's really a win, win, win. And so I think the ability to go do this and to make that play out, it really goes back to my thesis from more than a year ago where we talk about this is a new set of standards and a new set of technical protocols emerging. >> I want you to take us inside the conversations you're having with CIOs when you talk about Cloud because when Cloud first came out, it was well, the sins of IT is this heterogeneous mess and it's complex and expensive. Cloud's going to be simple, homogeneous and cheap. I look at Cloud of 2019 and I don't think I would use any of those adjectives to define what most people have for Cloud. Where are they today? Where do we need to go as an industry? >> Glass house computing, all centralized, all homogeneous, not all at heterogeneous. Oops, 15 flavors of Unix, all different, none of them really talk to each other. Oops let's go to desktop computing, we begin with a pure architecture, maybe Novell which doesn't exist, maybe it does, I don't even know. Oops, back to this complete sprawl of client server. Okay let's go to Cloud back to centralized glass house. >> You're making me dizzy. >> Oops, let's go to-- (laughing) >> Let's go to lots of public, lots of SaaS, lots of private, back to this thing. So, in each of these a different answer came on how to unite them. I think when we look at that Unix and client server sprawl, I think TCP/IP and the internet came together so that you could have all these islands talk to each other and be able to communicate. All right, great, we've got 20 years of victory on that. Now you're getting these things, how do you begin to workload across because that becomes the next level of values. Not enough to communicate. Can I really take a workload? A workload is not just a VM or just one container, it's a collection of these things integrated together in a pretty tight and complex way. And can we take it from one place and move it to the other? Because that goes to the write once, run anywhere mantra which by the way also we come to about every 20 years. I think that's the magic of this moment and if we succeed in making that happen, which I have complete conviction we will, especially together, then I think we give a huge value back and we give freedom to every CTO and every CIO. >> You paint this really interesting whoops picture, I love that, it's really a back and forth, right, we're swinging and almost there's a cyclical nature to this is what you're I think implying. What's to say in your mind that this isn't just another whoops as opposed to this being a permanent shift in the paradigm? >> I think it's, the reason I think that it's going to be cyclical is we tend to, you know whether you go to construction and real estate, you talk about capacity and factories. You see an opportunity and people tend to go one way. The only way to correct culture if you're sitting in one place is to sort of over-correct the other way, now you're over-corrected. Now you have to come back. And always when you over-correct one way, then suddenly all those other benefits you've lost, so then you've got to come back to get those benefits. After about 10 years, probably, you can debate 10 or 15, you're done. You've exploited all those benefits, now you need to go get those benefits. Because the technologies have changed, it's not just that you're going back to what was. We're going very conceptually from centralized to distributed, to centralized to distributed. And by the way, another one that's getting out from pure centralized is also Edge. Edge in effect is another distributed, so you put those together and you say I went there, but then I lost all this stuff, now I need to get back to that stuff. If you've got too much there, you'll say, no, no, no, I need to get some of this back. So it's going to go that way I think for every, if you look at it, the big arcs are back, the pendulum, what do you call it, the pendulum swing, is I think about 20 years it looks like, right? 1960, centralized, 1980, PC, 2000, you could say was the peak of the internet. Hey, 2020, we're in Cloud. So looks like about 20 years, looks like. >> All right, so, I like what you were saying when you talk about that multicloud environment, the application is really central there. IBM, of course, has a strong history, not just in middleware but in applications. What do you think will differentiate this kind of next wave of multicloud, how will the leaders emerge? >> Right, so if you look at it today, you run infrastructure. I think OpenShift has done a great job of how you help run their infrastructure. The value in our eyes in putting the services on top, both coming from open source as well as other companies that are running like an integrated package. This is all about taking the cost out of how do you deploy and develop. And if we can take the cost out of that, you're not talking about that five to 10 X as we heard a couple of the clients up on stage yesterday with Jim talk about. If we give that to everybody, you can sort of say that 70% which goes into managing your current and only 30% on innovation. Can you shift that paradigm completely? That's the big business outcome that you get. As you begin to deliver these towers of function on top of the base. You need to start at base, without one base, you don't know how to say, I can't deal with these towers of function on thirty different things underneath. That engineering answer is a terrible one. >> In terms of the infrastructure market, things keep changing, right? Consolidating, EMC doing what they're, you know what happened there. How do you see your play in that market? First off, how do you see infrastructure evolving? And then how do you see your play in that going forward? >> Infrastructure has always been big, in the end all the stuff you talk about has to run on infrastructure. I'd say the consumption model of how you get infrastructure is changing. So it used to be that many years ago, people bought all their own infrastructures. They bought boxes, they put in boxes, they did all the integration. And what came from the vendor was just a box. Then you went to, all right you can get it as a managed service or you can get it in Cloud which is also a pay by the drink but you can now turn it up and down also. So it's not a either or, people want all of these models. And so our role in infrastructure, certain things we will provide. When it comes to running really high mission critical workloads, think mainframe, think big Unix, think storage, of that ilk; we'll keep providing that. We believe there's a lot of value in that. We see the value, our clients appreciate that value. That workload turns up, but it's the mission critical part of the workload. Then in turn we also provide the more commodity infrastructure but as a service. We supply a large amount of it to our clients. It comes sometimes wrapped in a managed service, it sometimes comes wrapped as a Cloud. And we will also consume infrastructure from other Cloud providers because if people are providing base computer, network and storage, there is no reason to presume that our capabilities wouldn't run on top. If I go back to just February, we announced that Watson will now run. We said we used the moniker Watson Anywhere to make the assertion that we will run Watson anywhere that we can run the correct containerized infrastructure. >> So, Arvind, what's the single most pressing issue that you hear from organizations with respect to their technology strategy and how's IBM helping there? >> I think modernizing applications is the biggest one. So people have, typically a large enterprise will have anywhere from 3,000 to 15,000 applications. That's what runs the enterprise. We talk about everyone's becoming a software company, right, I mean that was one of the quotes and everybody is becoming a tech company that was I think what one of the clients said, hey, we think you're a bank, you're actually a tech company. What that says is that you're capturing the essence of all the business processes. You're capturing the essence of the experiences. The essence of what regulators need, the essence of how you maintain customer and customer of our clients, trust, back to them. It's maintained through this collection of applications. Now if you say I want to go change, I want to become even more client centric, I want to insert AI into the middle of my business process, I want to become more digital. All of that is modernizing applications. The big pinpoint they all have is how do I modernize them? What becomes that fabric in which I modernize? How do I know I'm not locked into yet another spaghetti mess if I go down this path? Because we've seen that movie also. So they're interested in, hey, I want to be clean at the end of this. I want freedom to be able to move it. And that is why I'm so passionate about, the fabric is based on open source, the fabric's got to be based on open standards. If you go there, there is no lock-in, and it's not a spaghetti mess, it is actually clean. Much cleaner than any other option that we can dream of is going to be. And so if we go down this path, now you can open yourself up to a much faster velocity of how you deliver innovation and value back to the business. >> Okay, so, I'd agree first of all when you talk about modernization, the applications that they have, that's the long pole in the tent. We understand compared to all the other digitization, modernization, this is the toughest challenge here. I'm a little surprised though that I didn't hear the word data because they don't necessarily articulate it but the biggest opportunity that they have has to be tied to data. >> Well to me, when I use the word application here, and you heard me use the word AI, can I insert AI in the context of an application? Now, why is it not being done today? To get the value out of AI, the data that powers the AI is stuck in all the silos, all over the place. So you've got to have, as you do this modernization, it's imperative to put the correct data architecture so that now you can do the governance, so that you can choose to unlock the appropriate parts of the data. It's really important to say the appropriate parts because neither do you want data sort of free floating around the globe, because that is the value of a company at the end of the day. And so that unlocking of that value is a huge part of this. So you're absolutely right to ask me to express it more strongly when I use the word application, I'm inclusive of not just runtime but always of the data that powers that application. >> Arvind, it was again a year ago that we were talking to you out in San Francisco and you made some rather strong thematic predictions that turned out well. I'm not going to put you on the spot here, but I can't wait to see next year. And see how this turns out. >> I can't let him go before, we had the CIO of Delta who we had on our program. >> Oh, right, right. >> In the key note, made a question about licensing, of course Jim Whitehurst said we don't have licensing but what's your answer? >> I'm willing to offer a deal to Samant. So I think that both IBM and Red Hat do a fair amount of air travel. We'll give him a common license if he can just include Red Hat for whatever IBM pays, just include all the Red Hat travel that is needed on Delta. (laughing) You know just so that the business models become clear and we can go have a robust discussion. >> Out of Raleigh that's a good deal. >> For us. >> That's what I'm saying. That is a good deal. All right, the ball is in your court, or on your runway. Whatever the case may be. Arvind, thanks for being with us. >> My pleasure. >> We appreciate it. And we'll let you know if we hear back from Rahul on that good deal. TheCUBE continues live from Boston right after this. (upbeat music)
SUMMARY :
Brought to you by Red Hat. Arvind, good to see you this morning. you were with us on theCUBE and talking about IBM that you are in now, so just if you can summarize that IBM intends to acquire Red Hat, so then you say that's the news that the United States Department of Justice the bigger you get, the more chance that your partners So as we go down that path, then you say if you want to take I want you to take us inside the conversations none of them really talk to each other. so that you could have all these islands What's to say in your mind that this isn't the pendulum, what do you call it, the pendulum swing, All right, so, I like what you were saying That's the big business outcome that you get. And then how do you see your play in that going forward? to make the assertion that we will run Watson anywhere And so if we go down this path, now you can open yourself up that I didn't hear the word data so that now you can do the governance, so that you can that we were talking to you out in San Francisco I can't let him go before, we had the CIO of Delta who we You know just so that the business models become clear All right, the ball is in your court, or on your runway. And we'll let you know if we hear back
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Jim Whitehurst, Red Hat | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the queue covering your red. Have some twenty nineteen. You buy bread. >> Oh, good morning. Welcome back to our live coverage here on the Cube of Red Hat Summit twenty nineteen, along with two men. Timon, I'm John Walls were in Boston. A delightful day here in Beantown. Even made more so by the presidents of Jim White, her's president, CEO, Red hat. Jim, Thanks for joining us. Number one. Number two. What else could go right for you here this week? This has just been a great show. Great keynotes. You had great regulatory news on Monday. I mean, you've got a four leaf clover in that pocket there. I think for him >> to tell you what the weather is holding up well, for us, you're right with great partnership announcements. Amazing product launches. You have been a red hat, but eleven years now and this is only my third rail launch, right? When we deliver it, we commit to long lives. And so But it's awesome to be a part of that. And we had all the engineers on stage. I can't imagine how it could get any better. >> You >> win the lottery >> Oh, yeah? Well, yes. This one step at a time here. Relate and open share for we'LL get to those just a little bit. Let's go back to the keynote last night. First life, you have CEOs of IBM and Microsoft. Very big statements, right? We know about the IBM situation. I think a lot of people got a charge out of that a little bit. You know, Jenny commenting about have a death wish for this company. And I have thirty four billion reasons why I wanted to succeed. But a very good message. I think about this. This linkage that's about to occur, most likely. And the thought going forward from the IBM side of the fence? >> Yeah. I thought it was really good toe have her there. Not only to say that, you know, we're obviously bought it toe to make it grow, but also really making a statement about how important open source is to the future of IBM, right? Yeah. What became clear to me early on when we were talking is this is a major major. I would say that the company might be too strong a word, but it is a major kind of largest possible initiative around open source than you can imagine. And so I can't imagine, uh, imagine a better kind of validation of open source with one large technology companies the world basically going all in with us on it >> to talk about validation of open source, such a nadella up on stage. If you had told me five years ago that within a week I would see Satya Nadella up on stage with the CEO of'Em wear and then a week later up on stage with the CEO, right hat, I'm like, Are we talking about the same Microsoft? This is not the Microsoft that I grew up with on and worked with soap. We're talking your team and walking around. It wasn't just, you know, he flew in from Seattle. I did. The casino left. He was meeting with customers. There's a lot of product pieces that are going together, explain a little bit, that kind of the depth of the partnership and >> what we've made. Just tremendous progress over the last several years with Microsoft, you know, started back in two thousand fifteen. Where were you across certified hyper visors, And that's kind of a basic you know, let's work together. Over the last couple of years, it's truly blossomed into a really good partnership where, you know, I think they've and we both gotten over this, you know, Lennox versus Windows thing. And you know, I say, we've gotten over. I think we both recognized, you know, we need to serve our customers in the best possible way on that clearly means is two of the largest infrastructure software providers working closely together and what's been interesting. As we've gone forward, we find more and more common ground about how we could better serve our customers. Whether that's you know what might sound mundane. That's a big deal sequel server on Realm and setting benchmarks around that or dot net running on our platforms. Now all the way to really be able to deliver a hybrid cloud with a seamless experience with open shift from, you know, on premise to to Azure and having Deutsche Bank on State's twenty five a thousand containers running in production, moving back and forth to your >> you know what getting customers to change is challenging. You know, it's a little surprising even after that this morning to be like Oh, yeah. Let me pull up windows and log in and do all this stuff. We've talked to you a lot over the years about culture, you know, loved your book. We've talked a lot about it, but I really enjoyed. Last night is I mean, you had some powerful customers stories talking about how red hats helping them through the transformation. And like the Lockheed one for me was like And here's how we failed at first because we tried to go from waterfall to scrum Fall on. Do you know he definitely had the audience you're after? >> Yeah, I really wanted to make Mikey No talking about it called How we have so many great What's to talk about your rela a open ship for bringing all those capabilities from for OS. But I really wanted Teo talk about the hell, because that actually is the hardest part for customers. And so having kind of customers back in back to back to back, talking about success stories and failures to get there, and it really is about culture. And so that's where we called the open source way, which we kind of coin, which is, you know, beyond the code. It's, you know, meritocracy and how you get people to work together and collaboration. That's what more and more our customers want to talk about. In fact, I'd say ninety percent of the customer meetings I'm in, which are, you know, more CIA level meetings they're all about. Tell me about culture. Tell me how you go about doing that. Yeah, We trust the technology's gonna work. We don't have that issue with open source anymore. Everybody assumes you're gonna have open source. It's really how do you actually make that effective? And so that's what I really wanted to tow highlight over the course of the evening. >> You know, there was a lot of conversation, too. And you have your talking to Jenny about culture last night that you have multiple discussions over the course of the negotiation or of the conversations. So it wasn't just some cursory attention This I mean, the both of you had a really strong realization that this has to work in terms of this, you know, merging basically of philosophies and whatever. But you've had great success, right with your approach. So if you can share a little bit about how those cops is ations How you went through what transpired? Kind of how we got to where we are Now that you know, we're on the cusp of successful moment for you. Yeah, >> sure. So, yeah. I mean, from day one, that was the center of the discussion, I think early on. So year Agos, um, IBM announced, contain arising their software on open shift. And I think that's when the technical light went off about Hey. Having the same bits running across multiple clouds is really, really valuable in open shifts. The only real way to do that. And yes. Oh, Arvind was here from IBM on stage talking about that. And so I think technically, it was like, OK, ding, this makes sense. Nobody else could do it. And IBM, with their capabilities and services integration center. Just lot of strategic logic, I think the difficult part. Even before they approached this. Now, kind of looking back on it, having all these discussions with him now it's okay. Well, culturally, how do we bring it together? Because, you know, we both have strong cultures, mean IBM has a famous culture. We do that air very, very, very different. And so from the moment Jenny first approached me literally, you know, Hey, we're instant this, But let's talk about cultural, how we're going to make this work because, you know, it is a lot of money to spend on a company with No I p. And so you know, I think as we started to work through it, I think what we recognized is we can celebrate the strength of each other's cultures, and you know the key. And this is to not assume that there's one culture that's right for everything. We have a culture hyper optimized for collaboration and co creation, whether that's upstream with our source communities or downstream with our customers or with our employees and how that works. And that's great. Let's celebrate that for what it is. And, you know, IBM kind of run some of those big, most mission critical systems in the world, you know, on mainframes and how you do that looks and feels different. And that's okay. And it's okay to be kind of different. But together, if we can share the same values if we can, you know, share the same desire to serve our customers and put them first how we go about doing it. It's okay if those aren't exact. And as we got more comfortable with that, um, that's when I got more comfortable with it. And then, most importantly for me is we talk about culture. But a lot of our culture comes from the fact that we're truly a mission kind of purpose driven company, right? We're all about making open source the default choice in the world. And you know, to some extent remember, have these conversations with senior teams like, Hey, we were going to think we're going to change the world. You know? How better can we propel this for? This is such a huge platform to do it, and yet it's going to be hard. But aren't we here to do hard things? >> So it talked about it, You know, it's it's always been difficult selling when you don't have the. There's been a lot of discussions in the ecosystem today, as companies that build I p with open source and some of the models have been changing and some of the interactions with some of the hyper scale companies and just curious when you look at that, it's you know, related to what you're doing, what feedback you have and what you're seeing. >> Yeah. Look, first, I'LL say, I can't talk about that as an interested observer because our model is different than a lot of open source software companies. You know, Paul talked about in his keynote today, and we talked a lot about you know, our models one hundred percent open source, where we take open source code, typically getting involved in existing communities in creating life cycles, et cetera, et cetera, et cetera. And so that model's worked well for us. Other open source companies where I think this is more of a challenge with the hyper scale er's right more of the software themselves. And obviously they therefore need to monetize that in a more direct way. You know, our sins are businessmen always say it's a really bad business model the right software and give it away. You know, that's not what we do where hundreds and open source, but you know, if you look at our big communities were, you know, ten to twenty percent of the contribution, because we want to rely on communities. The issue for those companies that are doing Maur. The code contribution themselves is there's a leakage in the open source license, which is, you know, the open source, like the viral licenses. You know, if you make changes and you redistribute, you have toe also, you know, redistribute your code as well. And redistribution now is to find in a hyper scale is just different. So there's kind of a leakage in the model. I think that ultimately gets fixed by tweaks to the licenses. I know it's really controversial, and companies do it, but, you know, Mongo has done it. I think you'LL see continuing tweaks to the length the licenses would still allow broad use, but kind of close that loophole if you want to call that a loophole. >> Yeah, well, it's something that you know as observers. We've always watched this space and you know, when you talk about Lennox, you know, you've created over three billion dollar company, But the ripple effects of Lennox has been huge. And I know you've got some research that we want to hear about when we've looked at like the soup space. When you look at the impact of big data and now where is going you know, the hoodoo distribution was a very, very small piece of that. So, you know, talk a little bit about the ripples. Is some new research that >> way? Had some research that was that we commission to say, What is the impact of Lenin's right hand and press linens? And then we were all blown away. Ten trillion dollars. I mean, so this isn't our numbers or we had really experts do this and e. I mean, it really blew us away. But I think what happens is if you think about how pervasive it is in the economy, it's ultimately hard to have any transaction done that doesn't somehow ripple into technology and technology. Days primarily built around Lynn IQ. So in red headed President X is the leader, so it just pervades and pervades. When you look at the size in the aperture and you make a really good point around, whether it's a duper lennox, I mean, we could look a red hat, the leader and Lennox and we're, you know, less than four billion dollars of revenue. But we've created this massive ecosystem the same thing with the Duke. You think about how big an impactful. Big data and the analytics and built on it are massive. The company's doing are only a couple hundred million dollars, and I will say I've become comfortable with I'd say, five years ago, I used to say in my glass half empty day I'd be like we're creating all of this value yet we're just only getting this little tiny sliver. Um, I've now flip that around and say My glass Half full days I look and say Wow, with this lever we have with this little bit of investment were fundamentally changing the world. And so everybody's benefiting in a much larger scale around that. And when you think about it, that aperture is something really, really, really excited >> about. Well, you talk about, you know where the impact will be. Talk about Cloud, that the wave of container ization, you know, Where do you see that ending up? You know, I look, you know, Cooper Netease is one of those things. There's a lot of excitement and rightfully so. It was going to change the market, but it's not about a Cuban aunties distribution. It's going to be baked into every platform out there. Yeah, gunships doing quite well. And you know all the cloud providers, your partner with them and working with them. It's less fighting to see who leads and Maura's toe. How do we all work together on this? >> Well, you know, I think that's >> the great thing about ah well functioning, mature, open source projects is it behooves everybody to share. Now we'LL compete ultimately, you know, kind of downstream. But it who's everybody to share and build on this kind of common kind of component. And, you know, like any good open source project, it has a defined set of things that it does. I think you hit on a really important point. Cooper Netease is such an important layer. Doesn't work without Lennox, right? I mean, lyrics is, you know, containers or Lennox. And so how do you think about putting those pieces to gather manageability and automation thinks like answerable. And so, you know, at least from our perspective, it's How do you take these incredible technologies that are cadence ng, you know, at their own pace and are fundamentally different but can't work unless you put them all together? Which to us, you know, that creates a big opportunity to say, How do I take this incredible technology that thousands of, of really technically Swiss cave people are working on and make it consumable? Archer Traditional model has been like linnet, simply saying We're going to snap shot. We're going created to find life we're going back for, you know, do patching for what? And we still do that. But there's now an added sir sort of value, something like open shift, where you can say, Okay, we could put these pieces together in life cycle and together. And, you know, we see instances all the time where an issue with Cooper Netease requires, you know, a change analytics. And so being able to life cycle in together, I think we can really put out a platform where we literally now we're saying in the platform you're getting the benefits of millions of people working on overtime on Lenox with tens of thousands people working on Cooper, Netease and the Learnings are all been kind of wrapping back into a platform. So our ability to do that is it kind of open source continues to move up. The stack is really, really exciting. >> Now. You were talking about transformative technologies on DH. How great it is to be a part of that right now. You alluded to that last night in the keynote. So you're talking about this, You know your history lessons. You know how much you love doing that? Your ki notes and you know, the scientific method Industrial Revolution open source. Just without asking you to re can you are a recount. All that. Just give us an idea about how those air philosophically aligned it. How you think those air open source follows that lineage, if you will, where it is fundamentally changing the world. It is a true global game change. Yeah, And >> so the point last night was a really kind of illustrate how a change in thinking can fundamentally change the world we live in. And so what I talked about just kind of quickly is so the scientific method developed and kind of the fifteen hundreds ish time frame was a different way to discover knowledge. So it goes from kind of dictates coming down from, you know, on high, too. Very simple hypothesis, experiment, observation of the results of the things that go through that process and stand the test of time and become what we consider knowledge right? And that change lead immediately to an explosion of innovation, whether that with the underpinnings of the industrial revolution or enlightenment, what we've done in medicine, whole bunch of areas. And yeah, the analogy I came to was around well, the old way we just try to innovate constrains us in a more open approach is a fundamentally better way to innovate. But what I found so interesting in and I think you picked up on it if it didn't emphasize this much, wanted to excite and having a lot of time, its many of the same characteristics of scientific discovery. So the idea of you know, independence anybody could actually do this pinpoints the importance of experimentation and learning those Air Corps components of, you know, tef ops and agile and open source, right? It's very, uh, in the end, the characteristics are actually quite similar as well. I think that's just fascinating to see happen. >> So e think about that. And if you could bring it back to the customers you're talking to, you have a lot of executive conversation, said You focus a lot on the how is really challenging. We understand. You know, the organizational structure of most companies goes back over a hundred years to military. So you know, what you see is some of the one of the biggest challenges that, you know, executive thieves we're facing these days. And, you know, how are they getting past that? Stuck? >> Yeah. And so, you know, I think the simple is way to state. The problem, which I hear over and over again, is we tried an agile transformation, and it failed because our culture was already and cultures Mohr of, ah always tell the executor when they said to me, It's like, Okay, but recognized cultures and output, not an input. And it's an output of leadership behaviors, beliefs, values what's been rewarded over time. So if you want your culture to change, actually to think about changing the way that you lied and manage and broadly, the structures, the hierarchies, the bureaucratic systems that we have in place today are really good at driving efficiency in a static environment. So if you're trying to slightly take a little bit of cost out building a car, you start with what you did last year. You get a bunch of scientists are consultants to look at it, and then you direct some fairly small changes. So the structure were in places other wrong with them. When value creation was about standardization of economies of scale. The hierarchies work really, really well to distribute tasks and allow specialization and optimization. The problem is now most value creation. It's requiring innovation. It's how doe I innovate and how I engage with my customer. You know the example I used a couple years ago? Its summit was, you know, the average cars use ninety minutes today. So if you think about how to reduce the cost of transfer port ation, is it taking two percent out of the cost of building a car? Or is it figuring out whether it's ride sharing or other ways? Teo. A fractional ownership. Whether it is to increase the average utilization of the car, it's clearly the ladder. But you can't do that in about bureaucratic hierarchical system that requires creativity and innovation, and the model to do that requires injecting variants in. That's what allows innovation to happen. So as leaders, you have to show up and say, all right, how do I encourage descent, you know, how do I accept failure? Right. So this idea of somebody tries something and it fails. If you fire him, nobody's gonna try anything again. But experimentation by definition requires a lot of failures and how you learn from it. So how do you build that into the culture where as executives you say holding people accountable doesn't mean, you know, firing him or beating him up. If they make a mistake, it's how do I encourage the right level of risk taking in mistakes, you know, even down to the soft side. So you know, how do you hold somebody accountable in an agile scrum, right. Your leaders have to be mature enough to sit down, have a conversation. Not around here. The five things you were supposed to do and you did forum. So you get in eighty right now, you can't say exactly what they need to do because it's a little blurry. So you have to have leaders mature enough to sit down and have a conversation with somebody is I think you got an eighty. Thank you. Got an eighty because here's what you did well, and here's what you didn't. But it's subjective. And how do you build that skill and leaders? They oughta have those subjective conversations, right? That sounds really, really soft, but it's not gonna work if you don't have leaders who can do that right? And so that's why it's hard. Because, you know, changing peep people is hard. And so that's why I think so. Many CEOs and executives want to talk about it. But that's what I mean by it's a soft side. And how do you get that type of change to happen? Because if you do that, pick ours honestly, pick somebody else's, you know, agile Davis with methodologies. They'LL work if you have a culture, this accepting of it >> before they let you go. There were two things to our quick observations about last night. Number one rule Samant hitch up on the licensing, so I know you've got your hands full on that. Good luck with that. You mentioned licensing a little bit ago, and I learned that thirty four billion dollars is a good deal. Well, right, that's what you said I heard it from are absolutely well. Things >> were a separate entity. We don't have licenses. So I don't know how we would go into an l A >> given. We don't have a license to sell. So got some expectations setting >> we need to do with our customers and then, you know, but separately, You know, I think people do forget that Red Hat is a not only a really fast growing company were also really profitable company. Most of the other software companies that are growing at our pace on a gap basis makes little to no money. We have because we get the leverage of open source, we actually generate a very large amount of free cash flow. And if you actually not to get the details of the financials. But we look at our free cash flow generation in our growth, I would argue, was a smoking good deal. That thirty four. I was asking for a lot more than that. >> You could had smoking good the last night that was gonna work to give thanks for the time. >> It's great to be here. >> Thank you. Thank you for hosting us here. Great opportunities on this show for I know that's exciting to see two but continued success. We wish you all >> thanks. So much. Thank you for being here. It's great to have you, >> Jim. White House joining us back with more live coverage here on the Cube. You are watching our coverage here in Boston of Red Hat Some twenty nineteen. Well,
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It's the queue covering right for you here this week? to tell you what the weather is holding up well, for us, you're right with great partnership announcements. First life, you have CEOs of IBM and Not only to say that, you know, It wasn't just, you know, he flew in from Seattle. I think we both recognized, you know, we need to serve our customers in the best possible over the years about culture, you know, loved your book. I'd say ninety percent of the customer meetings I'm in, which are, you know, more CIA level meetings they're Kind of how we got to where we are Now that you know, we're on the cusp of successful And you know, to some extent remember, have these conversations with senior teams like, Hey, we were and some of the interactions with some of the hyper scale companies and just curious when you look at that, You know, that's not what we do where hundreds and open source, but you know, if you look at our big communities were, So, you know, talk a little bit about the the leader and Lennox and we're, you know, less than four billion dollars of revenue. that the wave of container ization, you know, Where do you see that ending up? And so, you know, at least from our perspective, it's How do you take these incredible technologies that Your ki notes and you know, the scientific method Industrial Revolution open source. So the idea of you know, independence anybody could actually do this pinpoints So you know, what you see is some of the one of the biggest challenges that, you know, So you know, how do you hold somebody accountable in an agile scrum, that's what you said I heard it from are absolutely well. So I don't know how we would go into an l A We don't have a license to sell. we need to do with our customers and then, you know, but separately, We wish you all Thank you for being here. You are watching our coverage here in Boston
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The CEOs Keynote Analysis | Red Hat Summit 2019
(loud upbeat music) >> Narrator: Live from Boston, Massachusetts. It's the Cube. Covering Red Hat Summit 2019. Brought to you by Red Hat >> Well good morning and welcome to day two of Red Hat Summit 2019. We're in Boston. Beautiful Boston, Mass. again. Second day of just gorgeous sunshine as I'm looking outside but we're inside the Boston Convention and Exposition Center BCEC. Stu Miniman John Walls here on the Cube. Stu good morning to ya. >> Good good morning John. Yeah lovely spring day here in Boston. >> John: Yeah >> Crowd's all excited. >> John: Yes >> Lots of things to geek out on. >> John: Let's go back uh lets go back to last night for the sake of it if you don't mind. We just got done with keynotes this morning We'll touch on that in a second. Last night though, what an array of of CEO keynote you might as well call it. We have IBM. we have Microsoft. We have Red Hat. We have you know the boss of each. And first lets lets just jump in first with IBM Ginni Rometty on the stage last night. And settling maybe a few concerns with some of her comments. I don't have a death wish. Independent. All that. So that your she said all of the good things >> Look first of all, love the tone. It's we hear what your saying and we're kind of laughing with you. You know when they joked and said You know IBM's been working for a long time on Linux. You know we spent a billion dollars that was you know big dollar uh dollar Jim Whitter was like 34 billion dollars is a really big number too. Everybody laughed >> Right >> You know the the commentary notes and joking is look we want this to succeed. We're spending 34 billion dollars on Red Hat. We don't have a death with for it you know. We're not trying to kill it. And what she said specifically and they've said it before but it bears repeating you know more often is Red Hat will stay separate. They're not going to "blue wash" the company which is the term for when they normally integrate and take over. They're going to stay separate. The brand is going to stay separate. That's why they didn't stop something like the new rebranding you know uh you know new new >> Logo >> Hat same soul >> Right right >> You know same hat but new logo same soul All of those things are in place you know and when I talk to lots of people in Red Hat they expect that you know day after this closes they'll be doing the same job. They understand that you know things like IBM's scale should be able to enable them and there will be more collaberation there but you know they're under the umbrella but you know are managed separately. Uh and that's something what the other thing Ginni pointed out which I thought was important that she say it and that is something we're all be watching is the culture that they have built is super super important. She said Red Hat's built a wonderful company and maybe more importantly culture and Jim goes Oh and our eco system you know don't forget our eco system She's like of course but that culture should actually slowly infuse into IBM not the reverse. We don't want you know IBM look great culture, great innovations, strong history but IBM is not looking to take IBM's culture and put it on Red Hat. They want to learn from you know the younger you know you know company and you know moving and growing fast So help accelerate. Work together and you know absolutely important and as Jim said on stage you know pretty impressive here at the Red Hat show you start out with the CEO of IBM you end with the CEO of microsoft. Those are two pretty impressive tech companies >> John: Sure >> With your CEOs coming to talk to this community. >> Yeah tell me about on the culture standpoint though you you do have some very definite differences right just in terms of history you know IBM been around forever Red Hat new kid on the block relatively speaking. How hard do you think it really will be? I mean you've been around this space for a long time that's there just that I think an institutional resistance that is is almost inevitable >> Stu: Yeah >> You have (groan) it's gonna take a lot of open mindedness and bending on the IBM side. >> Look yes and no because look Red Hat has facilities. If they're not living in the same place as if they're you know the the tower down Raleigh where Red Hat is if that stays Red Hat people and they stay separate sure they might have some calls where they collaberate but its a you know Conway's law I like to go to is the way software is designed matches the organizational structure. If the organizational structure gets mixed between them, >> Mmhmm >> Expect that IBM culture just 'cause the size of it you know will likely overpower and it's really easy for it to leak that way. Going the other way you know Red Hat's got you know about twelve thirteen thousand employees you know IBM's got well over a hundred thousand employees. So can Red Hat inflitrate it? In pieces and places and start doing it, sure. But it would be very easy for IBM just to total have a blue wave wash over and make Red Hat lose you know what makes them so special and they are special in this industry. But one of the things that I actually really loved in the keynote we'll talk to is some of that what they called their innovation labs what they helped teach some of that culture to some pretty impressive companies and help them along that technical journey to you know not just do the technology but the cultural changes so that you know they can live in that multi cloud world. They can live you know work with the open source even more. >> I think we got the impression or at least I did you know listening to Ginni too there's a recognition there that we being IBM you know we need them. We need you know we we have we're at a somewhat of a competitive disadvantage right now. This gets us in the game on a whole new level. So I'm I'm would imagine that message is being communicated throughout the ranks at IBM. You know there's a reason why we're spending this kind of money and making this kind of a commitment because their ways worked. And it's in a space that we have to be more present >> Hey look I'm excited. Our first two guests of the day we've got Jim Whitehearst the CEO of Red Hat and then we've got Arvind Krishna who is you know the SVP of cloud and heavily involved in that decision to move IBM to do the acquisition and talking about that hybrid multi cloud world. We will dig in there because that you know is the product space it's the area where Red Hat and IBM intersect the most. Because you know I don't expect that IBM is going to mess up you know rhel >> John: right >> you know from a core linux standpoint they've been partnered for a decade on this. It's not competitive with what IBM does. They we you know IBM does not have a huge team doing it but some of the other spaces some of the tooling some of the you know orchestration and that multi cloud world is an area that IBM has a lot of bodies and a lot of resources and we'll see. But you know an area they want to have help is you know IBM absolutely needs to partner in the multi cloud world with more of the cloud environments so maybe we can talk a little bit about Microsoft. >> Yeah lets go Microsoft here um you know again um kind of a nice kumbaya moment last night where there's a handshaking backslapping five years ago they they both readily admitted it. We're talking about you know Satya Nadella and uh Jim Whitehearst last night wouldn've been like that! We weren't on the best of terms not too long ago and to think that we'd be sharing a stage and not only talking about working together but being partners and truly partners um many people would have imagined that to be just totally unfathomable but it happened. We saw it last night! >> Yeah so um and there's a lot more not just to Sataya being here but the relationship uh that I've been learning more about-walking the show floor, talking to some of the people, uh reading some of the articles online there so you know you know big announcement they talked about is open shift on Azure and that you know fully managed you know common operating platform, across the clouds, manage it yourself, consume it as a service, um you know deep integration there uh between Azure and Open Shift. So uh as I mentioned yesterday in our open Red Hat's working with all the clouds you know talk to them at Google at this show two years ago they announced the AWS piece uh but more than that even is you know some of the applications you know where is microsoft doing great? They have business productivity applications so sequel on rhel is something that you know fully supported and is something that you know Red Hat's been seeing a lot of growth there. And it's something that you know you think Microsoft usually you think Windows and today in the technology world you know Satya's goal is when you think Microsoft he wants you thinking you know Azure and AI and not that they don't have a strong Windows business or that it's not going uh you know not going away. See things like in the demo this morning their like oh hey you want to you know manage your all your linux environments and logins? Oh they pulled up a windows desktop. I mean you know it's it's I think it's it's interesting to see that Linux. It's like oh my gosh that's blasphemy. How dare you you know pull up you know a windows gooey and you see like minecraft and all these other stuff there. It's like that's that's not what a linux used to using. >> John: Right right >> But I can go to those environments so that blending of worlds uh is is what we see and uh yeah you know Microsoft and Red Hat uh living together uh you know in a lot of these customer environments is uh impressive. And I heard Satya spending a bunch of time with customers here. He didn't just fly in and do the keynote and then you know out on the jet off to his next environment You know working with the customers. Strong commitment uh to the partnership and as Satya said inter operate and commit to open source which if you haven't been watching the last five years has been a big push of Microsoft uh and uh is not the Microsoft that we grew up off of you know in the '90s and like um with proprietary software, proprietary operating systems, um committing to all of these environments. >> Yeah I mean so lets follow up a little bit on on the commitment angle or you know that discussion because I think you raised an interesting point that this was just not a fly by. It wasn't just a dropping kind of thing. This was a apparently from what you're uh sources have been telling you a very much more committed uh direction for the company for Microsoft we're talking about here. That's a strong statement. That this is not just for show. That our commitment is going to be the long term success. >> Yeah Yeah um you know we go to a lot of shows and when I've been at a lot of the open source shows especially uh really in the container and Kuraneti's space so we've got the Cube two weeks from now in uh Barcelona for the Cube con and Cloud native Con. Uh.. Microsoft and Red Hat are both really big players in that environment and it's not you know shooting arrows and throwing stones. It's everybody's committing to the growth of these environments and the reality for customers is going to be multi cloud. Uh you know Paul Cormier this morning said you know hybrid is the direction. I'm like well no no, it is where they are today. I think what he means to say is if you look in the future, it's not going away. It's not what a few years ago it was the public cloud was the enemy to some and it's taking over and beware. It's well no the reality is is customer's using a ton of SAS. Microsoft to their credit pushed a ton of customers into that environment. They moved Office 365. Wasn't a oh hey it'd be nice if you do it, it's like you were being pushed by you know into this environment and if Micrsoft is pushing you that way and you know I was used to you know getting my discs and downloading things and doing that. Well this is the new world. It's you know SAS first, public cloud, absolutely an environment. We have Azure you know strong growth you know really strong growth. Uh you know for for many years. Um and the data centers, so you're going to have all of these environments and to manage them and make multi cloud better than its parts? Uh... The partnerships need to be deeper than they were in the past. We can't have the old world of saying oh yeah we've signed some cooperative support agreement but if something goes wrong, we're all going to be pointing fingers as to who's fault it is. The customer doesn't care. They need to run their business. >> John: Right >> Uh you know it needs to be able to go. My data and my applications are the lifeblood of my business so partnerships like Microsoft and Red Hat just make all the sense in the world today. >> Yeah we saw some uh some demos today of uh well I saw Open Shift 4 on the stage. Uh you talked about what uh Microsoft and opening up in Windows and all. Um but pretty impressive in terms of upgrading capabilities and automation capabilities just in general that's kinda what the the impression that I left with was. It's pretty cool. This is pretty good. You're allowing a lot of jobs to be done simultaneously without interference without concerns where as you know a year or two back you couldn't have these dual operations going on because you're too worried about interfering or disrupting instead. You're giving great confidence to the application side and to the dev side. So like Dev Ops is you know you're uh taking a lot of the worry out of the equation. >> Yeah it's really interesting time 'cause I you know there are many of the solutions that will just really abstract away or manage away anything that I need to worry about. I just wanna consume it as a service. It's really simple um. I might just have something that I'll you know automatically does most of the stuff for me and I don't need get underneath but still a lot of these demos its okay here's my terminal and you know let me run through these environments uh and I want to have visibility. So um we're in a little bit of a transition period here as the you know where we are. You know what my teams, what the skill set they need to have, how much depth they need to be able to do um because you know these sins of IT in the past was you know how much am I reinventing the wheel or doing undifferentiated heavy lifting where the vendors of the platforms could really make this easier so that what I need to do as the IT is respond to the needs of the business. I need to be agile. I need to be flexible and if I need to you know build this you know build the temple every time they need something uh I'm not going to be able to be fast enough >> John: Right >> And so I need to be at cloud speed. Uh I need to you know be able to you know respond when uh the business says I need something or I need to make a change. It is uh no longer acceptable to say months or years. It's it's now usually measured you know days or weeks if not in certain things are like no no instantly >> Like now. >> You need to now (john laughs) >> Exactly. >> Ready for a big day? >> Stu: Yeah absolutely. >> All right Jim Whitehearst coming up in just a little bit, a moment or two, but we'll continue our coverage here live from Boston. We're at Red Hat Summit 2019 and you are watching the Cube (loud upbeat music) (music fades away)
SUMMARY :
Brought to you by Red Hat Stu Miniman John Walls here on the Cube. Yeah lovely spring day here in Boston. We have you know the boss of each. that was you know big dollar uh dollar the new rebranding you know uh you know and as Jim said on stage you know just in terms of history you know and bending on the IBM side. but its a you know Conway's law I like to go to to you know not just do the technology but We need you know we we have we're at a is going to mess up you know rhel some of the tooling some of the you know Yeah lets go Microsoft here um you know again or that it's not going uh you know not going away. and uh yeah you know Microsoft and Red Hat on on the commitment angle or you know in that environment and it's not you know Uh you know it needs to be able to go. So like Dev Ops is you know I need to be flexible and if I need to you know Uh I need to you know be able to you know you are watching the Cube
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Rahul Samant, Delta Air Lines | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the you covering your red have some twenty nineteen. You >> buy bread >> and welcome back to Boston as we continue our coverage here on the Cube of the Red Hat Summit twenty nineteen, along with two minimum. I'm John Walls, and we're now joined by the V, P and C e o of Delta Airlines. Mr. Rahul Samad. Good to see you, sir. Good to see you too, Jamie, For joining us. And you have a little keynote appearance coming through with five. Forty five s. So we will not be well, we won't hold you back. >> But thank you for squeezing this, and we really do. We appreciate that. >> First off, let's talk about just Delta >> from the macro level in terms of the technology emphasis that you have tohave now, obviously running an airline. Extraordinarily complex, sophisticated systems. But how the view of technology has evolved. Maybe over the last five, ten years, where it is today. >> Yeah. I mean, you know, technology has always been core. I mean, we had a reservation systems going back to the sixties on IBM mainframes, but it's as as things have digitalized and the customer experience has become the key and empowering our employees with insights and tools so they can take better care. Even better care of the customers has become the other problem, so it's kind of a two pronged approach to digitalize ing. The company and technology has become central Now. Our culture is all about people, and our frontline teammates take great care off our customers. But then technology plays a great role in empowering them to do that even better. Sighting. It's Ah, within the company. We say, you know, we're transforming technology until competitive advantage for Delta, and so relevance is not a problem. We are extremely relevant to the company, have been forever. But I think it's getting Mohr and Maury even more so today, especially at the customer interaction. Touch point. >> So we're who we understand how important technology is. You know, in your field there talk a little bit about kind of the role of the CEO. How you know, what's the business asking for you? What? The stressors on that and a little bit of that dynamic. >> Yeah, I think. Look, >> you know, I'm an equal member of the CEOs executive team, but you still have to earn your right. And so things like reliability and stability, availability, security become table stakes. And so, in sixteen and seventeen, I started in two thousand sixteen and we needed to focus on that. So I came in, you know, starry eyed going. I'm gonna digitalize the airline experience. But what I needed to focus on was, you know, the table stakes and sort of earning my place at that table rightfully And then that gives you permission to really start collaborating with the business and bringing technology solutions to bear on business opportunity. So we're there now, so it's really exciting time we launched in the Enterprise. Why the digital transformation of the company in early two thousand eighteen, which is again both employees and customers focus. And so clearly we are central to the role ofthe Delta and the airline. >> You just can you share with us? What are some of those key goals of that digital transformation? Obviously, you know, we're all your end ultimate customers wait, value there, but, you know, is data at the core of that digital train. >> You said it. You took >> the words right out of my mouth. You know, I mean any legacy legacy is like a four letter word when it comes to technology everywhere else. We take great pride in our ninety plus year legacy, but not so much with our aging technology. So part of it was, of course, you know you got to modernize the technology, so we're doing that in the background. But data was strewn all over the company. We know a lot about our customers, but we hadn't brought it together. So now we have we have a three sixty degree view. We call it the single view of the customer. Along with that, we also have a single view of the operation. So those two data repositories are now real time and building a pea eye's on top of that and unlocking the power of that data. Two equipped Like I said, the frontline employees, they've now got tools there mobile enable, and they have insights that they can take to serving the customer and then directly guessing both off your customers and directly with you. We've mobile enable the experience and given you ah, whole lot more across the entire traveled ribbon. So >> what are you >> learning then or what have you learned about customers then, in terms of that data collection, I'm sure. I mean, there's there's pretty first level stuff when they buy tickets where the travel to that kind of thing. But then I guess going deeper and learning more about behaviors and impulsive sze impulsive reactions to certain use. Whatever. >> Yep. What do you get it out? We're just >> starting. You know, that's an interesting when, John, because we we do have it. It's a huge data repository, and we're just starting to get the use case is built on that and where we focus our attention is on service. Recovered because we >> do it with >> service would call recovery. So you know whether when weather goes bad and the airline, you know, goes into what we call an irregular operation or an IRA in airline terms, you gotta put that back together and you've got to recover the customers. They might be delayed. They might have suffered a canceled flight or miss bag in spite of all our best efforts. And that's where we're applying the single view of the customer because we know the history ofthe all your interactions with us. And so at the top of the house. The executives decided that that's where we wanted to go. We wanted to make sure that we could acknowledge to you we could recognize interruptions on your next travel with us. But while it's happening, we could actually help get you out of that and on your way again. So now we're moving from that two more revenue generation and targeted offers and targeted recognition. But where we started was really around service recovery because we think you know that that's where customers sometimes feel the pain azaz. Muchas way try for them not to. But you know, whether it's not our ally at times >> and making the business case for that, then are you able to then see how behavior is modified in terms of whether it's customer reaction or customer uptake on your services, whatever and how that's translating to either pretension or business growth or something >> along Absolutely. Even even with the early use cases that we've put forward, we're seeing that I mean the the expectations off airlines over time the customers have and that they're going to use data and technology. Ah, effectively is, I think, fairly low on DSO the when we go up and our folks walk down the aisle with the handheld device on board and they acknowledge someone for hitting a million mile milestone or for achieving diamond status >> in a way, customers are are impressed and, you know, and then you go >> the next level and you're able to take care of them on a on a delay or on a cancel and re accommodate. Before they even called the service center. They've been re accommodated and rebuild. Those are things that I mean, they engender so much loyalty. Andi, I think its technology equipping our our employees in a big way. So the employees are doing great. Now you've put another helping of technology on top of it. Customers are are paying us for that way. Have ah revenue premium on. >> So you talk about internal, Tell us a little bit about your team. How much has this been in a digital transfer? Information is retraining. So how much you trying to get people from the outside? You know, we go to shows like this. Companies like yours are heavy recruiting mode. Typical absent skill sets are tough. You know what you're looking for? And give a little >> Yes, we've had >> Ah, very seasoned, you know, t team an organization. As you would expect, an attrition very low at adult. What what I needed to do was bring in about fifteen to twenty percent of the total team. Strength is knew. That's what I brought in about six hundred people in the last thirty six months. And those were people who were hired for contemporary skills. I call them Been there, done that type people. So Cloud Engineers, FBI people, agile cyber expert, and blending that with the seasoned veterans that know a lot about Del Tighty and know a lot about the airline domain was really important. So you didn't create haves and have nots because that could have easily happened. And then that causes a rupture. So we spent a lot of time on integrating those those two halves and making sure that this was a sort of a shot of adrenaline into the bloodstream. But the blood stream is strong, and the combined force of those two groups has been terrific for us. So that that's the other thing I would say. And I'm not saying that because I'm sitting here in the Red Hat Summit is the use ofthe partners, not just for products but a set of strategic partners. Whether it's Red Hat or IBM or Microsoft, right, a small set of partners becomes a force multiplier from a talent perspective. So they become an accelerant to the transformation. >> Well, you brought it up. Talk a little bit of partnerships. How do you look at this? Is it? I want to have a primary one. Is it a handful? Talk about that depth of relationship and what you're looking for from that Federico >> system. Absolutely. And look, we've got about a dozen that I meet at the the CEO president type level on an annual basis where I would say, you know, ten to twelve that we really are tight with and that are inside the tent. They understand the pillars off our transformation, and they know where they can provide swift acceleration to our transformation. And of course, right at is one and the others that I named. But they're they're they're giving us not just the product and the service, but they're in there helping us with setting the strategy and making sure that they put the right team on the ground with us or training our people. So it runs the gamut from, you know, sort of the system integrator type all the way to open source product pipes >> for the Red Happy's. Can you highlight What are you using? And, you know, are they involved in some of that training and transformation? >> And I think you know, >> the behind the scenes sort of under the hood. The platform is a service that gives us tremendous interoperability. We are young in our journey to the cloud, and like any big company, we're going to be multi cloud and hybrid. So we built our private cloud. We've got the the red had open shift container platform hosted in our private cloud. And so we're moving a lot of application components into that >> prior to that. And that's only >> about a year that we've been doing that. But prior to that, we've been big Lennox users, you know, Red Hat Enterprise, Lin X J boss, a whole plethora of products. But I think the platform is the service is really helping us with our cloud journey, and we're we're totally jazzed about that. >> You talked about hiring and six hundred two employees in a very short period of time class door. It just stood up and said, Hey, Delta Airlines, one of the top of companies for hiring software engineers >> after it was a very nice distinction to get. What does that do? Does that mean terms of first off? How do you do >> that in such an environment where you know everybody's after the same market, if you >> will. I think, you know, how do you feel about something today? I'm I'm validate a little bit really proud of that. And it actually wasn't something that you self >> nominate or you even have, you know, some kind of a selection process. It just arrived, you know, we didn't know about it. And those are some of the best ones because it's also recognition from your employees >> because they're the >> ones who are voting with their their posts and their the ones that are telling glass Door that this is a terrific place to work and we're doing a lot of new things and we're doing them at speed and it's very relevant to the customer experience into our front line employees experience. So >> there's an impact >> story this is this is the great thing about working for an airline. There's no place to run or hide when you're in I t. Because if it's down within fifteen minutes were front page news right somewhere. And so we strive hard to make sure it's never down. And on top of that, we're building, you know, these great digital experiences. So it's been really gratifying, and I think it's going to help us even further with our recruiting efforts. >> Yeah, it's interesting, you know, without getting political. It's like you're doing this modernization. But I mean, you've got heavy regulations on, you know, just some of the basic infrastructure of your industry is a little bit antiquated, you know, and comments >> on that. Well, I think it's It's a dichotomy, and I don't think we're >> unique. And I came out of banking to insurance to airlines, And you think that the way the financial services guys spend money on it, there would be no aging technology and there'd be no you no, none of that. Webb off connectivity. It's not true. I think any company that's been around forty fifties, you know, years >> has all the generations of technology still existing. So our Endeavour >> is to make sure that we deprecate out of that technology as quickly as we can and where it's useful. I mean, >> we still use mainframes >> for a really good purpose, and someone asked me just couple of weeks ago would you get out of it? And I said, >> No, it's a half a billion dollars project >> and it's a high risk project and IBM serves me really well, And for that purpose, the mainframe is exactly what the doctor ordered. So this >> isn't about >> ideology, right? This is about purpose built and custom build. So if there's a technology that fits the purpose, I'm gonna leave well alone. And I'm going to train people and recruit people so that I don't have a talent issue in ten or twenty years when it comes to mainframe people. We've had no problem in getting apprentices and keeping our mainframe talent pipeline gold so they never get away from it. >> Can you give us just a little sneak peek on the keynote tonight? >> I mean, just a maybe a high >> level here, a couple of things just for John, and it's going to be a fireside with Jim you'LL have to come in and we'll be there and listen. But I think Jim Jim's probably got a few questions up his sleeve is also, you know, Jim's got a heritage with Delta. He was our >> chief operating officer until I think about ten years ago. And so it >> should be a fun. He hasn't told me what he's going to ask, so it's gonna be interesting as to which way he's going to come. But I would assume he >> wants to talk about, you know, digital transformation and and, of course, how right ATS helping I would, I would seem there's going to be a question or two about about red >> handed. My only warning, obi, is what >> I hear when I walk on a Delta flight. Let's fasten your seat belt. >> Yes, there. Thank you. Thanks for the time and looks forward to Aquino tonight. Thank you so much, guys. All right. Back with more here on the Cube were watching coverage right now. Right. Had summit >> and we're in Boston, Massachusetts
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It's the you covering Good to see you too, Jamie, For joining us. But thank you for squeezing this, and we really do. from the macro level in terms of the technology emphasis that you have We say, you know, How you know, what's the business asking Yeah, I think. you know, I'm an equal member of the CEOs executive team, but you still have Obviously, you know, we're all your end ultimate customers wait, value there, You said it. We've mobile enable the experience and given you ah, learning then or what have you learned about customers then, in terms of that data collection, We're just and we're just starting to get the use case is built on that and where we focus our and the airline, you know, goes into what we call an irregular operation or an IRA in we go up and our folks walk down the aisle with the handheld device on So the employees are doing great. So you talk about internal, Tell us a little bit about your team. And I'm not saying that because I'm sitting here in the Red Hat Summit is the use ofthe partners, How do you look at this? president type level on an annual basis where I would say, you know, ten to twelve that And, you know, are they involved And so we're moving a lot of application components into that And that's only you know, Red Hat Enterprise, Lin X J boss, a whole plethora of products. one of the top of companies for hiring software engineers How do you do I think, you know, how do you feel about something today? you know, we didn't know about it. glass Door that this is a terrific place to work and we're doing a lot of new things And on top of that, we're building, you know, Yeah, it's interesting, you know, without getting political. Well, I think it's It's a dichotomy, and I don't think we're And I came out of banking to insurance to airlines, And you think has all the generations of technology still existing. is to make sure that we deprecate out of that technology as quickly as we can and where it's useful. the mainframe is exactly what the doctor ordered. And I'm going to train people and recruit people so that I don't have a talent issue in ten or twenty up his sleeve is also, you know, Jim's got a heritage with Delta. And so it But I would assume he My only warning, obi, is what I hear when I walk on a Delta flight. Thanks for the time and looks forward to Aquino tonight.
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Gunnar Hellekson & Andrew Hecox, Red Hat | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the queue covering your red hat some twenty nineteen lots. You buy bread hat. >> We'LL come back. Live here on the Cube as we continue with the coverage here in Boston, Massachusetts at the Boston Convention and Exposition Center had Summit two thousand nineteen stew Minimum. John Wall's a big keynote night, By the way, we're looking forward to that. We have a preview of that coming up in our next segment. Also walled wall interviews tomorrow morning from a number of our keynote presenters tonight. But right now we're joined by Gunnar Hellickson, whose director product management for rela Red hat. Gunnar. Nice to see you, sir. Good to see you And Andrew. He cocks Whose director Product Management of insights at Red Hat. Andrew, how are you doing today? >> Doing great. Happy to be here. >> Show off to a good start for you guys. Everything good to go? >> Yeah, it's been great. Uh, I got a great response from customers. Great response from analysts. There was real excited about the really >> Andrew. Yeah, we've had overflow it. All of our sessions on its insights, the hosted service. It's also nice to go alive and not get any >> pages that it's all good there, right? Yeah. So on the rail laid side. Big announcement today, right? It's gone public now available. Ah, lot of excitement. A lot of buzz around that, and insights has been added to that. So what is that doing now for your kind of your your suite of services and what you are now concerned? Sure. Absolute more about than you were yesterday. Well, >> I think one of the benefits we've had and making this changes it can create a virtuous loop. So insights as a service works by looking at the data that we have from running environment and seeing what is successful in what is not successful. So by having a smaller group of customers were would deliver the service using a good experience, but has a number of customers increases. That means we can deliver more value because we have a better understanding of what the world looks so for us, even though we've had a really great growth rate, being able to accelerate that by putting it inside of the rail subscription means we're gonna have access even more opportunities. Teo, look. Att Customer data find new insights and deliver even more value to them. >> So, Gunnar, you know, analytics is a piece that I'm hoping you can explain to our audience some of the some of the new pieces. Yeah, that that should be looking at. >> Yeah, sure. So So, with the insights tool down available to rent enterprise, the next customers they are getting a sentry said, there's there's a virtuous loop right where the more people that use it, the smarter the system gets and the benefit for the end user is now they get. I like to think of it is coaching so often there are security fixes, their opportunities for performance tuning. There's configuration fixes you could make, which may not be immediately obvious unless you've read through all the manuals right on DSO. How much better is it that Andrew Service can now come into a real a real customer and say, Hey, have you noticed that you might want to make this performance fix or hey, you might have forgotten this. So security fixed and it really makes the day to day life for the administrator much easier on also allows them to scale and manage many more systems much more efficiently. >> Yeah, I'm curious. You know, there's certain people. Was like, Wait, no, I understand my environment. You know, I you know, am I up for sharing what I'm doing versus everyone else? What's that? Feedback? You know, you've been what are some of the kind of misperceptions you want to make sure people understand? You >> know >> what it is and what it isn't >> a customer. Talk to you too. Phrases a very funny way. He's like, Well, >> I don't need this from my team. Might you know those guys right out >> of my level? I think, actually, our customers, they feel the scale that they have to operate on. So they're managing a lot more stuff. But I think the real pressure, his line of business is expecting things faster. So if they can't turn around, then they're lined the business. They're going to go get technologies somewhere else. And so, for our customers, the ability to automate pieces of their work flow, including ensuring it too safe configuration. It's optimized. That's a really key things I've never actually heard someone say. I know what I'm. Why did once have one person say they know what they're doing? They didn't need our help. But I think everyone else, they they get the value of analytics. >> You brought up the word, you know, scale. It's, You know, I worked in operations for six years in the group I had is like, Okay, next quarter, next year, you're gonna have more to do or less to do. Are you going? More or less? Resource is we understand what the answer is for most of those. So if I can of automation, if I can't have you no smart tooling today, I'm not going to able to keep up. You know, we talk about at the core of digital transformation is data needs to drive what we're doing. Otherwise, you know you're going to be left behind. >> Yeah. Yeah, that's right. And so and so how graded it is to finally have. You know, for fifteen years we've been getting support. Ticket's been reading knowledge based articles. We've got all this technical expertise on this architectural expertise, and that's not always easy to deliver to customers, right? It's It's still, you know, we're self our company, so we could deliver them software. But it's that additional coaching, Ben, additional expertise is the kind of difficult to deliver without having a vehicle like insights available. >> So how does it in terms of let's, like, really, um, roll out the new product? Everyone's You know, it's hopefully being well, not. Hopefully it is being used right now, and now you start seeing hiccups in the system. You see some speed bumps along the way. What are you seeing holistically? That an individual user is not? Or what's the value, too, to gathering this concensus and providing Mia's maybe just a single user with an insight into my situation? >> Yeah, that's the way I'd like to think about it is if you're a customer and you have a critical issue, causes downtime and impact your business, that's that's really terrible, and you're probably gonna learn from that. You're not going to do the same thing again, at least hopefully. But the customer next door or your competitors next or partner next door. They don't generate that experience or learned from that experience, so I think of insights, his way of knowledge recapture. So something happens once in one place. The system acts as a hub for that information, so once we see that we can capture the information that was discovered at one customer site, and we can proactively alert all of our customers to avoid that scenario. So it really lets us re use knowledge that we're generating. It's Gunnar said. This expertise we're generating inside the company were already doing all these activities, but it lets us recapture that energy and sick it back out to the rest of our customers much more efficiently than we ever could before. >> And you can and you could deal what you deal went on one. So if I if I'm a unique or have a unique problem, you could help me identify that, then you keep it in a reservoir. Basically, that could be tapped into when other instances occur. And you could see we, you know, this happened. This particular situation occurred in this situation and boom. Here's the cause. Here's the proper. Here's the fix >> on everything we do with insights is totally so. We learned from different experiences, but it's totally Taylor to each environment, So it's not just like a whole bunch of knowledge based articles. It looks at exact configuration for each customer, not only verifies that they're really going to hit the issue, Not just they, you know they might or something, but they're really going to hit it, but also generates automation to fix the issue. So we generate custom Ansel playbooks, which is an automation language that red hat obviously is invested in, and our customers and community love that is specific to their environment. So they could go from discovery to fix in the safest and fastest way possible. >> Yeah, you went. I was. You know, I'm hearing automation and, of course, immediately think about answerable there. So see, it seems there is that tight integration. They just play across the other. How does that dynamic >> work? Sure, So insights is tightly integrated in the sense of think of, answerable his arms and legs like there. They can go do things for you. But that doesn't come with a brain, necessarily the brain is our customers, right? So instable, So easy to use that you can put in the hands of knowledge experts inside of different companies, and they can automate part of their job. Their TVs. That's fantastic. What we're doing with insights, though they say got the red hat brain as well, though And so we're going to connect the red at breaking in. And so we're using tools like answerable to help collect the information that we need to analyze environment and then tools like answerable to go resolve the issues once we've identified what's there? So we see there's is totally complementary pieces of the portfolio. >> So, God, we've been talking about customers about you on the inside. What are you getting out of this? Ultimately, in terms of product improvement and whatever it orations that you're going to bring on because of these insights that your gathering, how soon? You kind of hope you roll it out. Thanks. Fine. Okay. Yeah, that's right. Yeah, yeah, yeah, yeah. Hope you don't get much from Andrew, but it's inevitable that, you know, there's going to be something that needs attention. >> Well, I mean, this is just part and parcel of regular product management practice, right? I mean, you look at your support tickets. You look at what customers are worried about. You look at what? The escalation czar, and that helps you. I think one change that we have gone through is thie. Analysis of all that activity has been largely anecdotal. like always remember the last and loudest person it was yelling at you, right? And this on tools like tools like insights allow us to be much more data driven as we're making different product management decisions. All >> right. Um, yes. So what should we be looking forward, Teo, give us a little bit of where things go from here? >> Sure. No good s o. You know, I think we'LL see the service generally. As I said, as we get more people connected, the service itself increases in quality in terms of recommendations in the breath of recommendations were also started to do some interesting worked. Open it up to partners. So so far, it's really been a red hat oriented Here's red hats knowledge. But it turns out that our partners want our stuff, their stuff, to run successfully on top of our platforms. That's a huge value for them. So, for example, way have nine new recommendations that will provide for sequel server when running on rally that we generated in partnership with Microsoft. And that's certainly the type of thing that we want to keep investing Maura and I think is really impactful for Custer. Um, because they see vendors actually working together to create a solution for them instead of us, just each doing our own thing in different ways. So that's one change that we're really excited about. >> Going forward. Yeah. You know, I think focusing on the focusing on the coaching for specific workloads is going to be really important. I mean, optimizing the operative system is great. I mean, your job rating system nor Adela fixing the operating system. But customers really had The opening system is an instrumental step towards actually operating something that that is critical of customers business. And so, to the extent that we can connect infrastructure providers, IVs and all the entire partner ecosystem, together with the indigenous operating system rules, we can give customers really very nice of you in a very nice set of, well, coaching on on their full stack of the planet. >> And that's the insight they're all looking for, right? Literally what they're looking for, gentlemen. Thank you. Thank you. The time we appreciate, uh, your time here today and good luck with continued pack sessions. That goes well for you. Both appreciate back with more where it read. Had summit where in Boston. And you are watching the Cube >> live from Boston, Massachusetts. It's the queue covering your red. Have some twenty nineteen. You buy bread? >> No, that on the ground. Get back a lot of commotion.
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It's the queue covering Good to see you And Andrew. Happy to be here. Show off to a good start for you guys. Yeah, it's been great. It's also nice to go alive and not get any So on the rail laid side. That means we can deliver more value because we have a better understanding of what the world looks so for us, So, Gunnar, you know, analytics is a piece that I'm hoping you can explain to our audience So security fixed and it really makes the day to day life You know, I you know, am I up for sharing Talk to you too. Might you know those guys right out And so, for our customers, the ability to automate So if I can of automation, if I can't have you no smart tooling today, Ben, additional expertise is the kind of difficult to deliver without having a vehicle like insights available. You see some speed bumps along the way. Yeah, that's the way I'd like to think about it is if you're a customer and you have a critical issue, And you can and you could deal what you deal went on one. and our customers and community love that is specific to their environment. You know, I'm hearing automation and, of course, immediately think about answerable there. So instable, So easy to use that you can put in the hands of You kind of hope you roll it out. I mean, you look at your support tickets. So what should we be looking forward, Teo, give us a little bit of where And that's certainly the type of thing that we want to keep investing Maura and And so, to the extent that we can connect infrastructure providers, And that's the insight they're all looking for, right? It's the queue covering No, that on the ground.
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Dr. Rudolph Pienaar, & Dr. Ellen Grant & Harvard Medical School | Red Hat Summit 2019
>> live from Boston, Massachusetts. It's the you covering your red hat. Some twenty nineteen rots. You buy bread hat. >> Well, good afternoon. Welcome back here on the Cube as we continue our coverage of the Red Hat Summit and you know, every once in a while you come across one of these fascinating topics. It's what's doing I get so excited about when we do the Cube interviews is that you never know where >> you're >> going to go, the direction you're going to take. And I think this next interview has been a fit into one of those wow interviews for you at home. Along was to minimum. I am John Walls, and we're joined by Dr Ellen Grant, who was the director of the fetal neo NATO Neuroimaging and Developmental Science Center of Boston Children's Hospital. So far, so good, right? And the professor, Radiology and pediatrics at the Harvard Medical School's Dr Grant. Thank you for joining us here on the Cube and Dr Rudolph Pienaar, who is the technical director at the F n N D. S. C. And an instructor of radiology at the Harvard Medical School. So Dr Rudolph Pienaar, thank you for joining us as well. Thank you very much. All right. Good. So we're talking about what? The Chris Project, which was technically based. Project Boston Children's Hospital. I'm going to let you take from their doctor Grant. If you would just talk about the genesis of this program, the project, what its goal, wass And now how it's been carried out. And then we'LL bring in Dr PNR after that. So if you would place >> sure, it's so The goal of the Chris Project was to bring innovated imaging, announces to the bedside to the front end where clinicians are not like high are working all the time but aren't sophisticated enough or don't have enough memory to remember how to do, you know, line code in Lenox. So this is where initially started when I was reading clinical studies and I wanted to run a complex analysis, but there was no way to do it easily. I'd have tio call up someone to log into a different computer, bring the images over again lots of conflict steps to run that analysis, and even to do any of these analysis, you have to download the program set up your environment again. Many many steps, said someone. As a physician, I would rather deal with the interpretation and understanding the meaning of those images. Then all that infrastructure steps to bring it together. So that was the genesis of Chris's trying to have a simple Windows point and click way for a physician such as myself, to be able to rapidly do something interesting and then able to show it to a clinician in a conference or in the at the bedside >> and who's working on it, then, I mean, who was supplying what kind of manpower, If you will root off of the project >> kind of in the beginning, I would say maybe one way to characterize it is that we wanted to bring this research software, which lives mostly online, ex onto a Windows world, right? So the people developing that software researchers or computational researchers who do a lot of amazing stuff with image processing. But those tools just never make it really from the research lab outside of that. And one of the reasons is because someone like Ellen might not ever want to fire paternal and typing these commands. So people working on it are all this huge population of researchers making these tools on what we try to do. What I try to help with, How do we get those tools really easily usable in excess of one and, you know, to make a difference? Obviously. So that was a genesis. I was kind of need that we had in the beginning, so it started out, really, as a bunch of scrips, shell scripts, you slight a type of couple stuff, but not so many things on gradually, with time, we try to move to the Web, and then it began to grow and then kind of from the Web stretching to the cloud. And that's kind of the trajectory in the natural. As each step moved along, more and more people kind of came in to play. >> Dr Grant, I think back, you know, I work for a very large storage company and member object storage was going to transform because we have the giant files. We need to be able to store them and manage them and hold them up. But let's talk about the patient side of things. What does this really mean? You know, we had a talk about order of magnitude that cloud can make things faster and easier. But what? What does this mean to patient care? Quality service? >> Well, I think what it means or the goal for patient care is really getting to specialized medicine or individualized medicine on to be able to not just rely on my memory as to what a normal or abnormal images or the patients I may have seen just in my institution. But can we pull together all the knowledge across multiple institutions throughout the country and use more rigorous data announces to support my memory? So I want to have these big bridal in front lobes that air there, the cloud that helped me remember things into tidies connections and not have to remind just rely on my visual gestalt memory, which is obviously going to have some flaws in it. So and if I've never seen a specific disorder, say, for example, at my institution, if they've seen it at other institutions who run these comparisons all of sudden, I made be aware of a new treatment that otherwise I may not have known about >> All right, so one of my understanding is this is tied into the mass open cloud which I've had the pleasure of talking on the program at another show back here in Boston. Talk about a little bit about you know how this is enable I mean massive amounts of data you need to make sure you get that. You know the right data and it's valuable information and to the right people, and it gets updated all the time, so give us a little bit of the inner workings. >> Exactly. So thie inner workings, That's it can be a pretty big story, but kind of the short >> story time Theo Short >> story is that if we can get data in one place, and not just from one institution, from many places, that we can start to do things that are not really possible otherwise so, that's kind of the grand vision. So we're moving along those steps on the mass Open cloud for us makes perfect sense because it's there's a academic linked to Boston University. And then there's thie, Red Hat, being one of the academic sponsors as well in that for this kind of synergy that came together really almost perfectly at the right time, as the cloud was developing as where that was moving in it as we were trying to move to the cloud. It just began to link all together. And that's very much how we got there at the moment on what we're trying to do, which is get data so that we can cause medicine. Really, it's amazing to me. In some ways there's all these amazing devices, but computational e medicine lag so far behind the rest of the industry. There's so little integration. There's so little advanced processing going on. There's so much you can do with so little effort, you could do so much. So that's part of the >> vision as well. So help me out here a little bit, Yeah, I mean, maybe it before and after. Let's look at the situation may be clinically speaking here, where a finding or a revelation that you developed is now possible where it wasn't before and kind of what those consequences might have been. And then maybe, how the result has changed now. So maybe that would help paint up a practical picture of what we're talking about. >> I could use one example we're working on, but we haven't got fully to the clouds. All of these things are in their infancy because we still have to deal with the encryption part, which is a work in progress. But for example, we have mind our clinical databases to get examples of normal images and using that I can run comparisons of a case. It comes up to say whether this looks normal or abnormal sweat flags. The condition is to whether it's normal or abnormal, and that helps when there's trainees are people, not is experienced in reading those kinds of images. So again we're at the very beginnings of this. It's one set of pictures. There's many sets of pictures that we get, so there's a long road to get to fully female type are characterized anyone brain. But we're starting at the beginning those steps to very to digitally characterize each brain so we can then start to run. Comparisons against large libraries of other normals are large libraries of genetic disorders and start to match them up. And >> this is insecure. You working in fetal neural imaging as well. So you're saying you could take a an image of ah baby in a mother's womb and many hundreds thousands, whatever it is and you developed this basically a catalogue of what a healthy brain might look like. And now you're offering an opportunity to take a image here on early May of twenty nineteen. And compared to that catalogue, look and determine whether might be anabel normality that otherwise could have been spotted before. >> Correct and put a number to that in terms of a similarity value our probability values so that it's not just Mia's a collision, say Well, I think it's a little abnormal because it is hard to interpret that in terms of how severe is the spectrum of normal. How how? Sure you. So we put all these dated together. We can start to get more predictive value because we couldn't follow more kids and understand if it's that a a sima that too similar what's most likely disorder? What's the best treatment? So it gives you better FINA typing of the disorders that appear early and fetal life, some of which are linked to we think he treated, say, for example, with upcoming gene therapies and other nutritional intervention so we could do this characterization early on. We hope we can identify early therapies that our target to targeted to the abnormalities we detect. >> So intervene well ahead of time. Absolutely. >> I don't know. The other thing is, I mean Ellen has often times said how many images she looks at in the day on other radiologist, and it's it's amazing. It's she said, the number hundred thousand one point so you can imagine the human fatigue, right? So it Matt, imagine if you could do a quick pre processing on just flag ones that really are abnormal by you know they could be grossly abnormal. But at least let's get those on the top of the queue when you can look at it when you are much more able to, you know, think, think, think these things through. So there's one good reason of having these things sitting on an automated system. Stay out of the cloud over it might be >> Where are we with the roll out of this? This and kind of expansion toe, maybe other partners. >> So a lot of stuff has been happening over the last year. I mean, the the entire platform is still, I would say, somewhat prototypical, but we have a ll the pipelines kind of connected, so data can flow from a place like the hospital flowed to the cloud. Of course, this is all you know, protected and encrypted on the cloud weaken Do kind of weaken. Do any analysis we want to do Provided the analysis already exists, we can get the results back. Two definition we have the interface is the weapon to faces built their growing. So you can at this point, almost run the entire system without ever touching a command line. A year ago, it was partially there. A year ago, you had to use a command line. Now you don't have to. Next year will be even more streamlined. So this is the way it's moving right now and was great for me personally. About the cloud as well is that it's not just here in Boston where you, Khun benefit from using these technologies, you know, for the price of a cellphone on DH cell signal. You can use this kind of technology anywhere. You could be in the bush in Africa for argument's sake, and you can have access to these libraries of databases imaging that might exist. You, khun compare Images are collected wherever it might be just for the price of connecting to the Internet. >> You just need a broadband connection >> just right. Just exactly. >> Sometimes when you think about again about you know, we've talked about mobile technology five g coming on as it is here in the U. S. Rural health care leveling that and Third World, I was thinking more along the lines of here in the States and with some memories that just don't have access to the kind of, like, obviously platinum carry you get here in the Boston area. But all those possibilities would exist or could exist based on the findings that you're getting right now with Chris Project. So >> where does the Chris project go from here? >> Well, what we'd like to do is get more hospitals on board, uh, thinking pediatrics, we have a lot of challenge because there are so many different rare disorders that it's hard to study any one of them from one hospital. So we have to work together. There's been some effort to bring together some genetic databases, but we really need to being also the imaging bait databases together. So hopefully we can start to get a consortium of some of the pediatric hospitals working together. We need that also because normal for normal, you need to know the gender, the age, the thie ethnicity. You know, so many demographics that are nice to characterize what normal is. So if we all work together, we can also get a better idea of what is normal. What is normal variants. And there's a lot of other projects that are funded by N. H. Building up some of those databases as well, too. But we could put him into all into one place where we can actually now query on that. Then we could start to really do precision medicine. >> And the other thing, which we definitely are working on and I want to do, is build a community of developers around this platform because, you know, there's no way our team can write all of these tools. No, no, no, we want to. But we want everyone else who wants to make these tools very easily hop onto this platform. And that's very important to us because it's so much easier to develop to christen it just about the Amazon. There's almost no comparison. How much easier >> we'Ll Definitely theme, we hear echoing throughout Red Hat summit here is that Does that tie into, like, the open shift community? Or, you know, what is the intersection with red hat? >> It definitely does, because this is kind of the age of continue ization, which makes so many things so much easier on DH. This platform that we've developed is all about container ization. So we want to have medical by medical or any kind of scientific developers get onto that container ization idea because when they do that and it's not that hard to do. But when you do that, then suddenly you can have your your analysis run almost anywhere. >> And that's an important part in medicine, because I run the same analysis on different computers, get different results. So the container ization concept, I think, is something that we've been after, which is a reproduce ability that anybody can run it along there, use the same container we know we're going. Same result. And that is >> critical. Yes, especially with what you're doing right, you have to have that one hundred percent certainty. Yep. Standardisation goes along, Ray. Sort of fascinating stuff. Thank you both for joining us. And good luck. You're an exciting phase, that's for sure. And we wish you all the best going forward here. Thank you so much. Thank you both. Back with more from Boston. You're watching Red Hat Summit coverage live here on the Q t.
SUMMARY :
It's the you covering Welcome back here on the Cube as we continue our coverage of the Red Hat Summit and So Dr Rudolph Pienaar, thank you for joining us as well. the bedside to the front end where clinicians are not like high are working all the time but aren't sophisticated So the people developing that software researchers or computational researchers Dr Grant, I think back, you know, I work for a very large storage company and member object storage But can we pull together all the knowledge across multiple institutions bit of the inner workings. but kind of the short So that's part of the revelation that you developed is now possible where it wasn't There's many sets of pictures that we get, And compared to that catalogue, look and determine whether So it gives you better FINA typing of the disorders that appear early So intervene well ahead of time. It's she said, the number hundred thousand one point so you can Where are we with the roll out of this? kind of connected, so data can flow from a place like the hospital flowed to the cloud. just right. have access to the kind of, like, obviously platinum carry you get here in the Boston area. So hopefully we can start to get a consortium of And the other thing, which we definitely are working on and I want to do, is build a community of developers So we want to have medical by medical or So the container ization concept, I think, is something that we've been after, which is a reproduce ability And we wish you all the best going forward here.
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