>>Hey everyone. Welcome to the cubes presentation of the AWS startup showcase. This is season two, episode four, where we continue to talk with the AWS ecosystem partners, this topic, cybersecurity protect and detect against threats. I'm your host, Lisa Martin. I've got a new guest with me. Ryan Ferris joins me the VP of products and engineering at Anisha. Ryan. Welcome to the program. Great to have you. >>Thank you so much for having me. >>So let's dig right in. Why are software vendors turning to Anisha to help them address and access the nearly for over 200 billion market public sector, federal market for cloud services? What is that key event? >>Yeah, it's it. If you know anything about FedRAMP and if you've looked into it, it takes a long time to achieve Fedra. So when customers kind of go into this cold and they're from Mars and they're like, what is bed? They usually find that it's an 18 month journey, maybe a 24 month journey. And so Anisha helps shorten that journey with lower costs and faster time to market. So if you're waiting for our revenue stream from say a government entity, we can get you there faster and get you to a, a state of Fedra certified in a shorter time period. And that's the value problem. >>Faster time to value is critical for organizations. So let's look at this journey as you talked about it, what does the path to compliance look like for specifically for AWS customers with a nation and without help us understand the value add? >>Yeah. So if you're doing it without Angen or if you're just kind of doing it yourself, which some customers choose to do, then they have to go on that journey and kind of learn about three primary things. One thing is how do I just write the entire package? Like there there's a thing called an SSP or a, a system security plan. And that thing is maybe seven or 800 pages long. And you have to offer that all by yourself so you can get help with that or not. That's sort of the academic and, and, and tech writing piece of it. There's another piece of it around what does my environment look like? So as I am ruling out this Fedra solution, what are each piece in my environment that needs to be compliant with Fedra? And it's a voluminous amount of things can be either a dozen or maybe up to a hundred things that you have to tweak and change. So there's a technical deployment store here as well. And then the third thing is keeping you compliant in your AWS environment after you've achieved kind of that readiness state. So the journey does not stop once you achieve Fedra, ATO, it goes on and on and on, and Anisha helps customers kind of maintain and keep them there in that fully compliance state after achieving ATO, >>What's the timeframe for AWS customers in terms of going, alright, we realize we're going on this journey. It's challenging. We need An's help. What's the timeframe to get them actually certified. >>Yeah. We look at the timeframe between the moment you deploy and the moment you start writing about that tech, that Fedra package and when you're audit ready, and in the best case scenario, that could be a few months, right? But you're always, your mileage may vary based on kind of your application readiness and how ready you are to pursue that journey. So the fastest happy path is a few months to audit, audit an audit ready state, but then you have, you kinda have to go through a process whereby you're in the queue for Fedra. And that can kind of take maybe an extra few months, but it really is that that three month accelerated timeframe in the best case scenario, >>Got it. Three months accelerated timeframe. Are there other compliance standards that besides Fedra that you help organizations get compliance with? >>Right. So it's a great question. So FedRAMP in and of itself is just really hard to get to. It's just so many things that you have to do, but if you get to that state, it's based off of a standard called missed 853 specifically rev four, that's kind of a mouthful, but once you achieve that state, there's basically 325 controls that come along with fed moderate. And that buys you a lot of leverage in leeway in mapping and sort of crosswalking to other compliance levels. So if you achieve that state, you buy a lot of, kind of goodness with things that map to either PCI or even HIPAA or SOC two. And, and so you, you kind of get a big benefit and sort of a big bang for your buck by having achieved that, that state for Fedra. >>So from an AWS customer, talk to me about, obviously we talked about the time to value the speed with which you enable organizations to achieve compliance and, and readiness. What what's in it for me in terms of working with a nation as an AWS customer. >>Yeah. For, so for AWS specifically our stack, well, we have kind of two versions of our stack. One is meant for Azure and it's kind of cookie cutter and meant for folks that have an entrenched Azure footprint. The other is it's the majority of our market it's folks that want to in accelerator footprint in AWS. So what's in it for you is that Anan kind of presents something that looks pretty similar to a landing zone, but it's a little bit more peppered with complexity and with tuned configurations. So if you're an AWS customer and let's see you've had an environment for the last 5, 6, 7 years, we help you kind of take that environment and enhance it and become FedRAMP ready in a much faster state. And we are leveraging and utilizing a lot of native AWS core services like ECR, for example, is one we're just starting to lean into AWS inspector for bone scans, those types of things. And then kind of when you get up to that audit, ready state and through ATO, we aggregate a lot of that vulnerability information and vulnerability scanning information into a parable readable, actionable format. And most of those things, those gatherings of data are AWS specific functions that we kind of piggyback on. So we're heavily into cloud trail and, and quite heavy into kind of using the things that are already at our fingertips just by deploying into AWS. >>Yeah. Leveraging what they already are familiar with kind of meeting the customers where they are. I think these days is such an important factor to help organizations make the changes as quickly and dynamically as they need to. >>That's right. Yeah. That's perfect. Yeah. A lot of customers, you know, when, when they start on the journey, they kind of, they, they sort of uncover the, uncover the details around, well, I have an application and this application has existed for six or seven years. How do I get this thing FedRAMP ready? And what does onboarding mean to your stack? We try to make that specific step as easy as possible. So when I'm on the phone with prospects and I'm talking to 'em about embarking on a journey, I kind of get them to a mental model where they treat their application VPC or their application environment as sort of a, and we deploy a separate VPC into their, into their cloud account. And then we peer that information. It's kind of getting into the mechanics a little bit, but we try to make it as easy as possible to start doing the things that we're obliged to do for FedRAMP, for their application, like bone scans and, and operationalization of logging and things like that. And then we pull that information into our AIAN managed BPC. And I think once customers really start to understand and sort of synthesize that mental model, then they kind of have this Baha moment. They're like, oh, okay. Now I, now I really understand how your platform can accelerate this journey into a period that is no more than say two or three months of onboarding >>No more than two or three months. That's, that's a nice kind of guarantee for organizations who are you typically engaging with? Is it the CISO level or are there other folks involved in this conversation? >>Yeah, I, the CISO is probably the best persona to engage with, but it so varies from customer to customer and you never really know who's really gonna, oftentimes it's the CEO or, or sometimes it's a champion that might be the CFO or someone that's incentivized to really start getting market share for federal customers that they don't have access to. That might even be a VP of engineering that we're, that we're conversing with. But most often I think the CISO is central because the CISO of course wants to give in details of what does the staff consist of and exactly how are you helping me with this big burden of continuous monitoring that fed Fedra makes me do. And, and where, where do you fit in that story? So it's usually the CSO, >>Usually the CSO, but some of the other personas that you mentioned sounds like it's definitely a C level or at least a, an executive level conversation. >>It is. Yeah. I'll try to divide that a little bit from my persona. Like I, I run engineering and product. I'm usually dealing with a rather talking to and engaging with the CSO, but the folks that cut the check are either either the CEO or the CFO that really want to widen that kind of revenue stream that they don't have access to. And they're the real decision making personas in this deal. Now, after the decision decision is made, then, you know, they're vetting through VPs of engineering or engineering leaders or the CSO. So like the, the folks that pull the purse strings are usually, you know, the ones that are cutting the check to make this investment that is usually the CSO or rather CEO and the CFO. >>Got it. Okay. So if I'm an AWS customer and I'm on this journey for fed re certification, I've, I've been on it for a while. How do I know it's time to raise my hand or pick up the phone and call Anisha? >>Yeah. You know, some customers that we speak with have already tried to do it and maybe they've failed. Maybe they've been like 12 or 14 months into the journey. And they've said things like, we just don't know how to put the package together, or maybe they've engaged with the third party auditor. And the third party auditor has said, sorry, you guys need to go back to the drawing board or maybe they've missed a good percentage of the technical requirements and they need some consultation and advice or a cookie cutter approach. So it kind of, every journey is different when we are engaging. Sometimes folks are just coming in completely cold or maybe they failed. But the more interesting ones, and I think when we can look a little bit more like heroes are the ones that have tried it, and then a year later they come back, they come back to an, and they want that accelerated goodness. >>Do you have a favorite customer story that you think really articulates the value either from a customer who came in cold or a customer who came in after trying it on their own or with another partner for a year that you think really demonstrates the value that AIAN delivers? >>Yeah. There is a customer story that's sort of top of mind and it's, I think the guy primarily stuck in what tooling I'll anonymize the customer, but this customer kind of chose the wrong level of tooling as they embarked on their journey. And by tooling, I mean, let me get a little bit more specific here. You can't just choose any vulnerability scanner, for instance, if it's a SAS product, or if it's sending data or requests outside of your Fedra boundary, then you're gonna run into trouble. And this reference customer, or this prospect at the time kind of had a lot of friction there. So as they were bumping up against that three Pao deadline, they realized they had a lot of work to do. And we simplified that, that part of the journey substantially for them by essentially selecting and spoon feeding them and, and sort of accelerating that part of the deployment and technical journey for them. And they were very delighted by that part of it. >>When you're talking with customers who are in, in a state of, of change and fluxes, who isn't these days, we've seen the acceleration of digital transformation considerably over the last couple of years. How do you talk with them about a nation as an enabler of their digital transformation overall? >>Yeah. Digital transformation. It's a, it's a broad word. Isn't it like for, for customers that are moving from an on-prem world into the cloud world, you have this great opportunity to kind of start from scratch. And so for Anisha, we are deploying and maybe not start from scratch, but when you're moving from an on-prem environment into the cloud, your footprint, you have this really nice opportunity to embrace more of AWS core services and to kind of rebuild things, kind of make your architecture drastically improved, or like look different to be more supportable and like less operational overhead. And so when an nation presents itself as sort of this platform in a walled garden environment, some customers have this aha moment that like, if you're gonna move either a portion of your environment or a specific application to the cloud, AIAN really helps you establish that security within that boundary and that footprint in a, in a much more accelerated fashion, then if you were selecting each part of your security infrastructure and then trying to implement it by hand, and that's kind of where we shine. >>Got it. We talked about the personas that you're typically engaging with depending on the organization, but how do you help enterprise companies who say Anisha, we wanna improve DevOps efficiency. We wanna get our applications secure that are running on AWS and those that we may wanna move to AWS in the future. >>Yeah. This gets into futures a little bit, but part of our roadmap, a little bit of a, a kind of a look around the corner for our roadmap is that since we know so much about the FedRAMP environment and FedRAMP moderate and the standard called this 853, it's a really powerful security view. And it's also a really powerful compliance view. So, you know, as I was saying before that, if you achieve a lot of depth and excellence in nest 853, it buys you a lot of kind of crosswalk and applicability for SOC two and HIPAA and PCI. So for DevOps organizations and for just engineering organizations that want more pre-pro insight, there's no reason why you can't just deploy our platform and our stack in a pre fraud environment to get that security signaling such that you can catch things early and prevent maybe spillage or leakage or security issues to go into production. So one of the things that we're doing on a roadmap is a, a feature that we call compliance insights, whereby we present a frame of missed 853 RAV4 that you can deploy into any environment. And that particularly helps the DevOps role by saying, well, if I just, for example, exposed an S3 bucket to world, then I can catch that configuration, that compliance product and catch it, trap it and fix before it leaks out to. >>So you talked a little bit about kind of some of the things that are coming up on a, on the product side, what's next for Anisha, as we look at we're rounding out calendar year 22 coming into 2023, there's still so much change in the market. We've got to embrace that. What's next for the company. What can we expect from the VP of products and engineering? >>Yeah, I think in two, two big areas here, we're gonna double down on our Fedra offering offering, and just continuously improve it and improve it. We're pretty tempted to lean in more heavily to CMMC. We hear a lot about CMMC kind of on the periphery, but we just haven't quite felt the market pressure to really go after that. But there's definitely something there. And I would anticipate some offering that maps to that specific compliance that, that compliance framework. And then in the enterprise, we just month after month, we discuss more about how we can create more flexibility in our platform, such that commercial customers can get more of that goodness, and sort of more of that consolidation and time to market, particularly for small and mid-sized customers. So we'll be releasing more of those pieces of functionality in 2023 as well. >>So the commercial folks be on the lookout for that. >>Yes, absolutely. That's a huge untapped market for us. We're super excited about it and we'll be a little cagey on in our plans until we kind of get through this early availability period and then probably make a bigger splash in the first half of 2023. >>That sounds appropriate. Where can the audience go to learn more about what you guys are doing and maybe get ahead on some of those teaser that you just mentioned? >>Yeah. I think our marketing folks will push out more data sheets and marketing material on what's to come. And if you ever wanted to be part of this early availability program that I just discussed, or that I mentioned, you can always go to anan.com and ping us, and we'd be happy to have a conversation with you and we'll lift up the hood and allow you to look under there for, and just carry on the conversation around what's to come. >>All right, getting a peek of what's under the hood. That's always exciting, Ryan, thank you for joining me on this program. AWS startup showcase. We appreciate your time, your insights and a peek into what's going on at Anisha. >>Awesome. It was a pleasure. Thank you so much. >>Likewise. We wanna thank you for watching the AWS startup showcase for Ryan Ferris. I'm Lisa Martin stick right here on the, for great content coming your way. Take care.

>>Okay, welcome back everyone. There's the cubes coverage of VMware Explorer, 22 formerly world. We've been here since 2010 and world 2010 to now it's 2022. And it's VMware Explorer. We're here at the CEO, regular writer. Welcome back to the cube. Great to see you in person. >>Yeah. Great to be here in person, >>Dave and I are, are proud to say that we've been to 12 straight years of covering VMware's annual conference. And thank you. We've seen the change in the growth over time and you know, it's kind of, I won't say pinch me moment, but it's more of a moment of there's the VMware that's grown into the cloud after your famous deal with Andy jazzy in 2016, we've been watching what has been a real sea change and VMware since taking that legacy core business and straightening out the cloud strategy in 2016, and then since then an acceleration of, of cloud native, like direction under your leadership at VMware. Now you're the CEO take us through that because this is where we are right now. We are here at the pinnacle of VMware 2.0 or cloud native VMware, as you point out on your keynote, take us through that history real quick. Cuz I think it's important to know that you've been the architect of a lot of this change and it's it's working. >>Yeah, definitely. We are super excited because like I said, it's working, the history is pretty simple. I mean we tried running our own cloud cloud air. We cloud air didn't work so well. Right. And then at that time, customers really gave us strong feedback that the hybrid they wanted was a Amazon together. Right. And so that's what we went back and did and the andjay announcement, et cetera. And then subsequently as we were continue to build it out, I mean, once that happened, we were able to go work with the Satia and Microsoft and others to get the thing built out all over. Then the next question was okay, Hey, that's great for the workloads that are running on vSphere. What's the story for workloads that are gonna be cloud native and benefit a lot from being cloud native. So that's when we went the Tansu route and the Kubernetes route, we did a couple of acquisitions and then we started that started paying off now with the Tansu portfolio. And last but not the least is once customers have this distributed portfolio now, right. Increasingly everything is becoming multi-cloud. How do you manage and connect and secure. So that's what you start seeing that you saw the management announcement, networking and security and everything else is cooking. And you'll see more stuff there. >>Yeah know, we've been talking about super cloud. It's kinda like a multi-cloud on steroids kind a little bit different pivot of it. And we're seeing some use cases. >>No, no, it's, it's a very great, it's a, it's pretty close to what we talk about. >>Awesome. I mean, and we're seeing this kind of alignment in the industry. It's kind of open, but I have to ask you, when did you, you have the moment where you said multicloud is the game changer moment. When did you have, because you guys had hybrid, which is really early as well. When was the Raghu? When did you have the moment where you said, Hey, multicloud is what's happening. That's we're doubling down on that go. >>I mean, if you think about the evolution of the cloud players, right. Microsoft really started picking up around the 2018 timeframe. I mean, I'm talking about Azure, right? >>In a big way. >>Yeah. In a big way. Right. When that happened and then Google got really serious, it became pretty clear that this was gonna be looking more like the old database market than it looked like a single player cloud market. Right. Equally sticky, but very strong players all with lots of IP creation capability. So that's when we said, okay, from a supplier side, this is gonna become multi. And from a customer side that has always been their desire. Right. Which is, Hey, I don't want to get locked into anybody. I want to do multiple things. And the cloud vendors also started leveraging that OnPrem. Microsoft said, Hey, if you're a windows customer, your licensing is gonna be better off if you go to Azure. Right. Oracle did the same thing. So it just became very clear. >>I am, I have gone make you laugh. I always go back to the software mainframe because I, I think you were here. Right. I mean, you're, you're almost 20 years in. Yeah. And I, the reason I appreciate that is because, well, that's technically very challenging. How do you make virtualization overhead virtually non-existent how do you run any workload? Yeah. How do you recover from, I mean, that's was not trivial. Yeah. Okay. So what's the technical, you know, analog today, the real technical challenge. When you think about cross cloud services. >>Yeah. I mean, I think it's different for each of these layers, right? So as I was alluding to for management, I mean, you can go each one of them by themselves, there is one way of Mo doing multi-cloud, which is multiple clouds. Right. You could say, look, I'm gonna build a great product for AWS. And then I'm gonna build a great product for Azure. I'm gonna build a great product for Google. That's not what aria is. Aria is a true multi-cloud, which means it pulls data in from multiple places. Right? So there are two or three, there are three things that aria has done. That's I think is super interesting. One is they're not trying to take all the data and bring it in. They're trying to federate the data sources. And secondly, they're doing it in real time and they're able to construct this graph of a customer's cloud resources. >>Right. So to keep the graph constructed and pulling data, federating data, I think that's a very interesting concept. The second thing that, like I said is it's a real time because in the cloud, a container might come and go like that. Like that is a second technical challenge. The third it's not as much a technical challenge, but I really like what they have done for the interface they've used GraphQL. Right? So it's not about if you remember in the old world, people talk about single pan or glass, et cetera. No, this is nothing to do with pan or glass. This is a data model. That's a graph and a query language that's suited for that. So you can literally think of whatever you wanna write. You can write and express it in GraphQL and pull all sorts of management applications. You can say, Hey, I can look at cost. I can look at metrics. I can look at whatever it is. It's not five different types of applications. It's one, that's what I think had to do it at scale is the other problem. And, and >>The, the technical enable there is just it's good software. It's a protocol. It's >>No, no, it's, it's, it's it's software. It's a data model. And it's the Federation architecture that they've got, which is open. Right. You can pull in data from Datadog, just as well as from >>Pretty >>Much anything data from VR op we don't care. Right? >>Yeah. Yeah. So rego, I have to ask you, I'm glad you like the Supercloud cuz you know, we, we think multi-cloud still early, but coming fast. I mean, everyone has multiple clouds, but spanning this idea of spanning across has interesting sequences. Do you data, do you do computer both and a lot of good things happening. Kubernetes been containers, all that good stuff. Okay. How do you see the first rev of multi-cloud evolving? Like is it what happens? What's the sequence, what's the order of operations for a client standpoint? Customer standpoint of, of multicloud or Supercloud because we think we're seeing it as a refactoring of something like snowflake, they're a data base, they're a data warehouse on the cloud. They, they say data cloud they'd they like they'll tell us no, you, we're not a data. We're not a data warehouse. We're data cloud. Okay. You're a data warehouse refactored for the CapEx from Amazon and cooler, newer things. Yeah, yeah, yeah. That's a behavior change. Yeah. But it's still a data warehouse. Yeah. How do you see this multi-cloud environment? Refactoring? Is there something that you see that might be different? That's the same if you know what I'm saying? Like what's what, what's the ne the new thing that's happening with multi-cloud, that's different than just saying I'm I'm doing SAS on the cloud. >>Yeah. So I would say, I would point to a, a couple of things that are different. Firstly, my, the answer depends on which category you are in. Like the category that snowflake is in is very different than Kubernetes or >>Something or Mongo DB, right? >>Yeah. Or Mongo DB. So, so it is not appropriate to talk about one multi-cloud approach across data and compute and so, so on and so forth. So I'll talk about the spaces that we play. Right. So step one, for most customers is two application architectures, right? The cloud native architecture and an enterprise native architecture and tying that together either through data or through networks or through et cetera. So that's where most of the customers are. Right. And then I would say step two is to bring these things together in a more, in a closer fashion and that's where we are going. And that is why you saw the cloud universal announcement and that's already, you've seen the Tansu announcement, et cetera. So it's really, the step one was two distinct clouds. That is just two separate islands. >>So the other thing that we did, that's really what my, the other thing that I'd like to get to your reaction on, cause this is great. You're like a masterclass in the cube here. Yeah, totally is. We see customers becoming super clouds because they're getting the benefit of, of VMware, AWS. And so if I'm like a media company or insurance company, if I have scale, if I continue to invest in, in cloud native development, I do all these things. I'm gonna have a da data scale advantage, possibly agile, which means I can build apps and functionality very quick for customers. I might become my own cloud within the vertical. Exactly. And so I could then service other people in the insurance vertical if I'm the insurance company with my technology and create a separate power curve that never existed before. Cause the CapEx is off the table, it's operating expense. Yep. That runs into the income statement. Yep. This is a fundamental business model shift and an advantage of this kind of scenario. >>And that's why I don't think snowflakes, >>What's your reaction to that? Cuz that's something that, that is not really, talk's highly nuanced and situational. But if Goldman Sachs builds the biggest cloud on the planet for financial service for their own benefit, why wouldn't they >>Exactly. >>And they're >>Gonna build it. They sort of hinted at it that when they were up on stage on AWS, right. That is just their first big step. I'm pretty sure over time they would be using other clouds. Think >>They already are on >>Prem. Yeah. On prem. Exactly. They're using VMware technology there. Right? I mean think about it, AWS. I don't know how many billions of dollars they're spending on AWS R and D Microsoft is doing the same thing. Google's doing the same thing we are doing. Not as much as them that you're doing oral chair. Yeah. If you are a CIO, you would be insane not to take advantage of all of this IP that's getting created and say, look, I'm just gonna bet on one. Doesn't make any sense. Right. So that's what you're seeing. And then >>I think >>The really smart companies, like you talked about would say, look, I will do something for my industry that uses these underlying clouds as the substrate, but encapsulates my IP and my operating model that I then offer to other >>Partners. Yeah. And their incentive for differentiation is scale. Yeah. And capability. And that's a super cloud. That's a, or would be say it environment. >>Yeah. But this is why this, >>It seems like the same >>Game, but >>This, I mean, I think it environment is different than >>Well, I mean it advantage to help the business, the old day service, you >>Said snowflake guys out the marketing guys. So you, >>You said snowflake data warehouse. See, I don't think it's in data warehouse. It's not, that's like saying, you >>Know, I, over >>VMware is a virtualization company or service now is a help desk tool. I, this is the change. Yes. That's occurring. Yes. And that you're enabling. So take the Goldman Sachs example. They're gonna run OnPrem. They're gonna use your infrastructure to do selfer. They're gonna build on AWS CapEx. They're gonna go across clouds and they're gonna need some multi-cloud services. And that's your opportunity. >>Exactly. That's that's really, when you, in the keynote, I talked about cloud universal. Right? So think of a future where we can go to a customer and say, Mr. Customer buy thousand scores, a hundred thousand cores, whatever capacity you can use it, any which way you want on any application platform. Right. And it could be OnPrem. It could be in the cloud, in the cloud of their choice in multiple clouds. And this thing can be fungible and they can tie it to the right services. If they like SageMaker they could tie it to Sage or Aurora. They could tie it to Aurora, cetera, et cetera. So I think that's really the foundation that we are setting. Well, I think, I >>Mean, you're building a cloud across clouds. I mean, that's the way I look at it. And, and that's why it's, to me, the, the DPU announcement, the project Monterey coming to fruition is so important. Yeah. Because if you don't have that, if you're not on that new Silicon curve yep. You're gonna be left behind. Oh, >>Absolutely. It allows us to build things that you would not otherwise be able to do, >>Not to pat ourselves on the back Ragu. But we, in what, 2013 day we said, feel >>Free. >>We, we said with Lou Tucker when OpenStack was crashing. Yeah. Yeah. And then Kubernetes was just a paper. We said, this could be the interoperability layer. Yeah. You got it. And you could have inter clouding cuz there was no clouding. I was gonna riff on inter networking. But if you remember inter networking during the OSI model, TCP and IP were hardened after the physical data link layer was taken care of. So that enabled an entire new industry that was open, open interconnect. Right. So we were saying inter clouding. So what you're kind of getting at with cross cloud is you're kind of creating this routing model if you will. Not necessarily routing, but like connection inter clouding, we called it. I think it's kinda a terrible name. >>What you said about Kubernetes is super critical. It is turning out to be the infrastructure API so long. It has been an infrastructure API for a certain cluster. Right. But if you think about what we said about VSE eight with VSE eight Kubernetes becomes the data center API. Now we sort of glossed over the point of the keynote, but you could do operations storage, anything that you can do on vSphere, you can do using a Kubernetes API. Yeah. And of course you can do all the containers in the Kubernetes clusters and et cetera, is what you could always do. Now you could do that on a VMware environment. OnPrem, you could do that on EKS. Now Kubernetes has become the standard programming model for infrastructure across. It >>Was the great equalizer. Yeah. You, we used to say Amazon turned the data center through an API. It turns, turns of like a lot of APIs and a lot of complexity. Right. And Kubernetes changed. >>Well, the role, the role of defacto standards played a lot into the T C P I P revolution before it became a standard standard. What the question Raghu, as you look at, we had submit on earlier, we had tutorial on as well. What's the disruptive enabler from a defacto. What in your mind, what should, because Kubernetes became kind of defacto, even though it was in the CNCF and in an open source open, it wasn't really standard standard. There's no like standards, body, but what de facto thing has to happen in your mind's eye around making inter clouding or connecting clouds in a, in a way that's gonna create extensibility and growth. What do you see as a de facto thing that the industry should rally around? Obviously Kubernetes is one, is there something else that you see that's important for in an open way that the industry can discuss and, and get behind? >>Yeah. I mean, there are things like identity, right? Which are pretty critical. There is connectivity and networking. So these are all things that the industry can rally around. Right. And that goes along with any modern application infrastructure. So I would say those are the building blocks that need to happen on the data side. Of course there are so many choices as well. So >>How about, you know, security? I think about, you know, when after stuck net, the, the whole industry said, Hey, we have to do a better job of collaborating. And then when you said identity, it just sort of struck me. But then a lot of people tried to sort of monetize private reporting and things like that. So you do you see a movement within the technology industry to do a better job of collaborating to, to solve the acute, you know, security problems? >>Yeah. I think the customer pressure and government pressure right. Causes that way. Yeah. Even now, even in our current universe, you see, there is a lot of behind the scenes collaboration amongst the security teams of all of the tech companies that is not widely seen or known. Right. For example, my CISO knows the AWS CSO or the Microsoft CSO and they all talk and they share the right information about vulnerability attacks and so on and so forth. So there's already a certain amount of collaboration that's happening and that'll only increase. Do, >>Do you, you know, I was somewhat surprised. I didn't hear more in your face about security would, is that just because you had such a strong multi-cloud message that you wanted to get, get across, cuz your security story is very strong and deep. When you get into the DPU side of things, the, you know, the separation of resources and the encryption and I'll end to end >>I'm well, we have a phenomenal security story. Yeah. Yeah. Tell security story and yes. I mean I'll need guilty to the fact that in the keynote you have yeah, yeah, sure time. But what we are doing with NSX and you will hear about some NSX projects as you, if you have time to go to some of the, the sessions. Yeah. There's one called project, not star. Another is called project Watchman or watch, I think it's called, we're all dealing with this. That is gonna strengthen the security story even more. Yeah. >>We think security and data is gonna be a big part of it. Right. As CEO, I have to ask you now that you're the CEO, first of all, I'd love to talk about product with you cuz you're yeah. Yeah. We just great conversation. We want to kind of read thet leaves and ask pointed questions cuz we're putting the puzzle together in real time here with the audience. But as CEO, now you have a lot of discussions around the business. You, the Broadcom thing happening, you got the rename here, you got multi-cloud all good stuff happening. Dave and I were chatting before we came on this morning around the marketplace, around financial valuations and EBIDA numbers. When you have so much strategic Goodwill and investment in the oven right now with the, with the investments in cloud native multi-year investments on a trajectory, you got economies of scale there. >>It's just now coming out to be harvest and more behind it. Yeah. As you come into the Broadcom and or the new world wave that's coming, how do you talk about that value? Cuz you can't really put a number on it yet because there's no customers on it. I mean some customers, but you can't probably some for form. It's not like sales numbers. Yeah. Yeah. How do you make the argument to the PE type folks out there? Like EBIDA and then all the strategic value. What's the, what's the conversation like if you can share any, I know it's obviously public company, all the things going down, but like how do you talk about strategic value to numbers folks? >>Yeah. I mean, we are not talking to PE guys at all. Right. I mean the only conversation we have is helping Broadcom with >>Yeah. But, but number people who are looking at the number, EBIDA kind of, >>Yeah. I mean, you'd be surprised if, for, for example, even with Broadcom, they look at the business holistically as what are the prospects of this business becoming a franchise that is durable and could drive a lot of value. Right. So that's how they look at it holistically. It's not a number driven. >>They do. They look at that. >>Yeah. Yeah, absolutely. So I think it's a misperception to say, Hey, it's a numbers driven conversation. It's a business driven conversation where, I mean, and Hawk's been public about it. He says, look, I look at businesses. Can they be leaders in their market? Yeah. Because leaders get, as we all know a disproportionate share of the economic value, is it a durable franchise that's gonna last 10 years or more, right. Obviously with technology changes in between, but 10 years or more >>Or 10, you got your internal, VMware talent customers and >>Partners. Yeah. Significant competitive advantage. So that's, that's really where the conversation starts and the numbers fall out of it. Got it. >>Okay. So I think >>There's a track record too. >>That culture >>That VMware has, you've always had an engineering culture. That's turned, you know, ideas and problems into products that, that have been very successful. >>Well, they had different engineering cultures. They're chips. You guys are software. Right. You guys know >>Software. Yeah. Mean they've been very successful with Broadcom, the standalone networking company since they took it over. Right. I mean, it's, there's a lot of amazing innovation going on there. >>Yeah. Not, not that I'm smiling. I want to kind of poke at this question question. I'll see if I get an answer out of you, when you talk to Hawk tan, does he feel like he bought a lot more than he thought or does he, did he, does he know it's all here? So >>The last two months, I mean, they've been going through a very deliberate process of digging into each business and certainly feels like he got a phenomenal asset base. Yeah. He said that to me even today after the keynote, right. Is the amazing amount of product capability that he's seeing in every one of our businesses. And that's been the constant frame. >>But congratulations on that. >>I've heard, I've heard Hawk talk about the shift to, to Mer merchant Silicon. Yeah. From custom Silicon. But I wanted to ask you when you look at things like AWS nitro yeah. And graviton and train and the advantage that AWS has with custom Silicon, you see Google and Microsoft sort of Alibaba following suit. Would it benefit you to have custom Silicon for, for DPU? I mean, I guess you, you know, to have a tighter integration or do you feel like with the relationships that you have that doesn't buy you anything? >>Yeah. I mean we have pretty strong relationships with in fact fantastic relationships with the Invidia and Intel and AMD >>Benon and AMD now. >>Yeah. Yeah. I mean, we've been working with the Pendo team in their previous incarnations for years. Right, right. When they were at Cisco and then same thing with the, we know the Melanox team as well as the invi original teams and Intel is the collaboration right. From the get go of the company. So we don't feel a need for any of that. We think, I mean, it's clear for those cloud folks, right. They're going towards a vertical integration model and select portions of their stack, like you talked about, but there is always a room for horizontal integration model. Right. And that's what we are a part of. Right. So there'll be a number of DPU pro vendors. There'll be a number of CPU vendors. There'll be a number of other storage, et cetera, et cetera. And we think that is goodness in an alternative model compared to a vertically integr >>And yeah. What this trade offs, right. It's not one or the other, I mean I used to tell, talk to Al Shugar about this all the time. Right. I mean, if vertically integrated, there may be some cost advantages, but then you've got flexibility advantages. If you're using, you know, what the industry is building. Right. And those are the tradeoffs, so yeah. Yeah. >>Greg, what are you excited about right now? You got a lot going on obviously great event. Branding's good. Love the graphics. I was kind of nervous about the name changed. I likem world, but you know, that's, I'm kind of like it >>Doesn't readily roll off your phone. Yeah. >>I know. We, I had everyone miscue this morning already and said VMware Explorer. So >>You pay Laura fine. Yeah. >>Now, I >>Mean a quarter >>Curse jar, whatever I did wrong. I don't believe it. Only small mistake that's because the thing wasn't on. Okay. Anyway, what's on your plate. What's your, what's some of the milestones. Do you share for your employees, your customers and your partners out there that are watching that might wanna know what's next in the whole Broadcom VMware situation. Is there a timeline? Can you talk publicly about what? To what people can expect? >>Yeah, no, we, we talk all the time in the company about that. Right? Because even if there is no news, you need to talk about what is where we are. Right. Because this is such a big transaction and employees need to know where we are at every minute of the day. Right? Yeah. So, so we definitely talk about that. We definitely talk about that with customers too. And where we are is that the, all the processes are on track, right? There is a regulatory track going on. And like I alluded to a few minutes ago, Broadcom is doing what they call the discovery phase of the integration planning, where they learn about the business. And then once that is done, they'll figure out what the operating model is. What Broadcom is said publicly is that the acquisition will close in their fiscal 23, which starts in November of this year, runs through October of next year. >>So >>Anywhere window, okay. As to where it is in that window. >>All right, Raghu, thank you so much for taking valuable time out of your conference time here for the queue. I really appreciate Dave and I both appreciate your friendship. Congratulations on the success as CEO, cuz we've been following your trials and tribulations and endeavors for many years and it's been great to chat with you. >>Yeah. Yeah. It's been great to chat with you, not just today, but yeah. Over a period of time and you guys do great work with this, so >>Yeah. And you guys making, making all the right calls at VMware. All right. More coverage. I'm shot. Dave ante cube coverage day one of three days of world war cup here in Moscone west, the cube coverage of VMware Explorer, 22 be right back.

>> My name is Franco Nori. Is a great pleasure to be here and I thank you for attending this meeting and I'll be talking about some of the work we are doing within the NTT-PHI group. I would like to thank the organizers for putting together this very interesting event. The topics studied by NTT-PHI are very exciting and I'm glad to be part of this great team. Let me first start with a brief overview of just a few interactions between our team and other groups within NTT-PHI. After this brief overview or these interactions then I'm going to start talking about machine learning and neural networks applied to computationally difficult problems in quantum physics. The first one I would like to raise is the following. Is it possible to have decoherence free interaction between qubits? And the proposed solution was a postdoc and a visitor and myself some years ago was to study decoherence free interaction between giant atoms made of superconducting qubits in the context of waveguide quantum electrodynamics. The theoretical prediction was confirmed by a very nice experiment performed by Will Oliver's group at MIT was probably so a few months ago in nature and it's called waveguide quantum electrodynamics with superconducting artificial giant atoms. And this is the first joint MIT Michigan nature paper during this NTT-PHI grand period. And we're very pleased with this. And I look forward to having additional collaborations like this one also with other NTT-PHI groups, Another collaboration inside NTT-PHI regards the quantum hall effects in a rapidly rotating polarity and condensates. And this work is mainly driven by two people, a Michael Fraser and Yoshihisa Yamamoto. They are the main driving forces of this project and this has been a great fun. We're also interacting inside the NTT-PHI environment with the groups of marandI Caltech, like McMahon Cornell, Oliver MIT, and as I mentioned before, Fraser Yamamoto NTT and others at NTT-PHI are also very welcome to interact with us. NTT-PHI is interested in various topics including how to use neural networks to solve computationally difficult and important problems. Let us now look at one example of using neural networks to study computationally difficult and hard problems. Everything we'll be talking today is mostly working progress to be extended and improve in the future. So the first example I would like to discuss is topological quantum phase transition retrieved through manifold learning, which is a variety of version of machine learning. This work is done in collaboration with Che, Gneiting and Liu all members of the group. preprint is available in the archive. Some groups are studying a quantum enhanced machine learning where machine learning is supposed to be used in actual quantum computers to use exponential speed-up and using quantum error correction we're not working on these kind of things we're doing something different. We're studying how to apply machine learning applied to quantum problems. For example how to identify quantum phases and phase transitions. We shall be talking about right now. How to achieve, how to perform quantum state tomography in a more efficient manner. That's another work of ours which I'll be showing later on. And how to assist the experimental data analysis which is a separate project which we recently published. But I will not discuss today because the experiments can produce massive amounts of data and machine learning can help to understand these huge tsunami of data provided by these experiments. Machine learning can be either supervised or unsupervised. Supervised is requires human labeled data. So we have here the blue dots have a label. The red dots have a different label. And the question is the new data corresponds to either the blue category or the red category. And many of these problems in machine learning they use the example of identifying cats and dogs but this is typical example. However, there are the cases which are also provides with there are no labels. So you're looking at the cluster structure and you need to define a metric, a distance between the different points to be able to correlate them together to create these clusters. And you can manifold learning is ideally suited to look at problems we just did our non-linearities and unsupervised. Once you're using the principle component analysis along this green axis here which are the principal axis here. You can actually identify a simple structure with linear projection when you increase the axis here, you get the red dots in one area, and the blue dots down here. But in general you could get red green, yellow, blue dots in a complicated manner and the correlations are better seen when you do an nonlinear embedding. And in unsupervised learning the colors represent similarities are not labels because there are no prior labels here. So we are interested on using machine learning to identify topological quantum phases. And this requires looking at the actual phases and their boundaries. And you start from a set of Hamiltonians or wave functions. And recall that this is difficult to do because there is no symmetry breaking, there is no local order parameters and in complicated cases you can not compute the topological properties analytically and numerically is very hard. So therefore machine learning is enriching the toolbox for studying topological quantum phase transitions. And before our work, there were quite a few groups looking at supervised machine learning. The shortcomings that you need to have prior knowledge of the system and the data must be labeled for each phase. This is needed in order to train the neural networks . More recently in the past few years, there has been increased push on looking at all supervised and Nonlinear embeddings. One of the shortcomings we have seen is that they all use the Euclidean distance which is a natural way to construct the similarity matrix. But we have proven that it is suboptimal. It is not the optimal way to look at distance. The Chebyshev distances provides better performance. So therefore the difficulty here is how to detect topological quantifies transition is a challenge because there is no local order parameters. Few years ago we thought well, three or so years ago machine learning may provide effective methods for identifying topological Features needed in the past few years. The past two years several groups are moving this direction. And we have shown that one type of machine learning called manifold learning can successfully retrieve topological quantum phase transitions in momentum and real spaces. We have also Shown that if you use the Chebyshev distance between data points are supposed to Euclidean distance, you sharpen the characteristic features of these topological quantum phases in momentum space and the afterwards we do so-called diffusion map, Isometric map can be applied to implement the dimensionality reduction and to learn about these phases and phase transition in an unsupervised manner. So this is a summary of this work on how to characterize and study topological phases. And the example we used is to look at the canonical famous models like the SSH model, the QWZ model, the quenched SSH model. We look at this momentous space and the real space, and we found that the metal works very well in all of these models. And moreover provides a implications and demonstrations for learning also in real space where the topological invariants could be either or known or hard to compute. So it provides insight on both momentum space and real space and its the capability of manifold learning is very good especially when you have the suitable metric in exploring topological quantum phase transition. So this is one area we would like to keep working on topological faces and how to detect them. Of course there are other problems where neural networks can be useful to solve computationally hard and important problems in quantum physics. And one of them is quantum state tomography which is important to evaluate the quality of state production experiments. The problem is quantum state tomography scales really bad. It is impossible to perform it for six and a half 20 qubits. If you have 2000 or more forget it, it's not going to work. So now we're seeing a very important process which is one here tomography which cannot be done because there is a computationally hard bottleneck. So machine learning is designed to efficiently handle big data. So the question we're asking a few years ago is chemistry learning help us to solve this bottleneck which is quantum state tomography. And this is a project called Eigenstate extraction with neural network tomography with a student Melkani , research scientists of the group Clemens Gneiting and I'll be brief in summarizing this now. The specific machine learning paradigm is the standard artificial neural networks. They have been recently shown in the past couple of years to be successful for tomography of pure States. Our approach will be to carry this over to mixed States. And this is done by successively reconstructing the eigenStates or the mixed states. So it is an iterative procedure where you can slowly slowly get into the desired target state. If you wish to see more details, this has been recently published in phys rev A and has been selected as a editor suggestion. I mean like some of the referees liked it. So tomography is very hard to do but it's important and machine learning can help us to do that using neural networks and these to achieve mixed state tomography using an iterative eigenstate reconstruction. So why it is so challenging? Because you're trying to reconstruct the quantum States from measurements. You have a single qubit, you have a few Pauli matrices there are very few measurements to make when you have N qubits then the N appears in the exponent. So the number of measurements grows exponentially and this exponential scaling makes the computation to be very difficult. It's prohibitively expensive for large system sizes. So this is the bottleneck is these exponential dependence on the number of qubits. So by the time you get to 20 or 24 it is impossible. It gets even worst. Experimental data is noisy and therefore you need to consider maximum-likelihood estimation in order to reconstruct the quantum state that kind of fits the measurements best. And again these are expensive. There was a seminal work sometime ago on ion-traps. The post-processing for eight qubits took them an entire week. There were different ideas proposed regarding compressed sensing to reduce measurements, linear regression, et cetera. But they all have problems and you quickly hit a wall. There's no way to avoid it. Indeed the initial estimate is that to do tomography for 14 qubits state, you will take centuries and you cannot support a graduate student for a century because you need to pay your retirement benefits and it is simply complicated. So therefore a team here sometime ago we're looking at the question of how to do a full reconstruction of 14-qubit States with in four hours. Actually it was three point three hours Though sometime ago and many experimental groups were telling us that was very popular paper to read and study because they wanted to do fast quantum state tomography. They could not support the student for one or two centuries. They wanted to get the results quickly. And then because we need to get these density matrices and then they need to do these measurements here. But we have N qubits the number of expectation values go like four to the N to the Pauli matrices becomes much bigger. A maximum likelihood makes it even more time consuming. And this is the paper by the group in Inns brook, where they go this one week post-processing and they will speed-up done by different groups and hours. Also how to do 14 qubit tomography in four hours, using linear regression. But the next question is can machine learning help with quantum state tomography? Can allow us to give us the tools to do the next step to improve it even further. And then the standard one is this one here. Therefore for neural networks there are some inputs here, X1, X2 X3. There are some weighting factors when you get an output function PHI we just call Nonlinear activation function that could be heavy side Sigmon piecewise, linear logistic hyperbolic. And this creates a decision boundary and input space where you get let's say the red one, the red dots on the left and the blue dots on the right. Some separation between them. And you could have either two layers or three layers or any number layers can do either shallow or deep. This cannot allow you to approximate any continuous function. You can train data via some cost function minimization. And then there are different varieties of neural nets. We're looking at some sequel restricted Boltzmann machine. Restricted means that the input layer speeds are not talking to each other. The output layers means are not talking to each other. And we got reasonably good results with the input layer, output layer, no hidden layer and the probability of finding a spin configuration called the Boltzmann factor. So we try to leverage Pure-state tomography for mixed-state tomography. By doing an iterative process where you start here. So there are the mixed States in the blue area the pure States boundary here. And then the initial state is here with the iterative process you get closer and closer to the actual mixed state. And then eventually once you get here, you do the final jump inside. So you're looking at a dominant eigenstate which is closest pure state and then computer some measurements and then do an iterative algorithm that to make you approach this desire state. And after you do that then you can essentially compare results with some data. We got some data for four to eight trapped-ion qubits approximate W States were produced and they were looking at let's say the dominant eigenstate is reliably recorded for any equal four, five six, seven, eight for the ion-state, for the eigenvalues we're still working because we're getting some results which are not as accurate as we would like to. So this is still work in progress, but for the States is working really well. So there is some cost scaling which is beneficial, goes like NR as opposed to N squared. And then the most relevant information on the quality of the state production is retrieved directly. This works for flexible rank. And so it is possible to extract the ion-state within network tomography. It is cost-effective and scalable and delivers the most relevant information about state generation. And it's an interesting and viable use case for machine learning in quantum physics. We're also now more recently working on how to do quantum state tomography using Conditional Generative Adversarial Networks. Usually the masters student are analyzed in PhD and then two former postdocs. So this CGANs refers to this Conditional Generative Adversarial Networks. In this framework you have two neural networks which are essentially having a dual, they're competing with each other. And one of them is called generator another one is called discriminator. And there they're learning multi-modal models from the data. And then we improved these by adding a cost of neural network layers that enable the conversion of outputs from any standard neural network into physical density matrix. So therefore to reconstruct the density matrix, the generator layer and the discriminator networks So the two networks, they must train each other on data using standard gradient-based methods. So we demonstrate that our quantum state tomography and the adversarial network can reconstruct the optical quantum state with very high fidelity which is orders of magnitude faster and from less data than a standard maximum likelihood metals. So we're excited about this. We also show that this quantum state tomography with these adversarial networks can reconstruct a quantum state in a single evolution of the generator network. If it has been pre-trained on similar quantum States. so requires some additional training. And all of these is still work in progress where some preliminary results written up but we're continuing. And I would like to thank all of you for attending this talk. And thanks again for the invitation.

from the cube Studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cute conversation hi I'm Stu minimun and welcome to this special presentation we have a launch from Dell technologies updates to the BX rail family we're gonna do things a little bit different here we actually have a launch video from Janet champion of Dell technologies and the way we do things a lot of times is analysts get a little preview or when you're watching things you might have questions on it though rather than me just walking it are you watching herself I actually brought in a couple of Dell technologies expert two of our cube alumni happy to welcome back to the program Jonathan Segal he is the vice president of product marketing and Chad Dunn who's the vice president at price today of product management both of them with Dell technologies gentlemen thanks so much for joining us it was too great to be here all right and so what we're gonna do is we're gonna be rolling the video here I've got a button I'm gonna press Andrew will stop it here and then we'll kind of dig in a little bit go into some questions when we're all done we're actually holding a crowd chat where you will be able to ask your questions talk to the expert and everything and so a little bit different way to do a product announcement hope you enjoy it and with that it's VX rail taking API to the extremes is is the theme we'll see you know how what that means and everything but without any further ado it but let's look fanon take the video away hello and welcome my name is Shannon champion and I'm looking forward to taking you through what's new with the ex rail let's get started we have a lot to talk about our launch covers new announcements addressing use cases across the core edge and cloud and spans both new hardware platforms and options as well as the latest in software innovations so let's jump right in before we talk about our announcements let's talk about where customers are adopting the ex rail today first of all on behalf of the entire Dell technologies and BX Rail teams I want to thank each of our over 8,000 customers big and small in virtually every industry who have chosen the x rail to address a broad range of workloads deploying nearly a hundred thousand nodes to date thank you our promise to you is that we will add new functionality improve serviceability and support new use cases so that we deliver the most value to you whether in the core at the edge or for the cloud in the core the X rail from day one has been a catalyst to accelerate IT transformation many of our customers started here and many will continue to leverage VX rail to simply extend and enhance your VMware environment now we can support even more demanding applications such as in-memory databases like s AP HANA and more AI and ML applications with support for more and more powerful GPUs at the edge video surveillance which also uses GPUs by the way is an example of a popular use case leveraging the X rail alongside external storage and right now we all know the enhanced role that IT is playing and as it relates to VDI the X Rail has always been a great option for that in the cloud it's all about kubernetes and how dell technologies cloud platform which is VCF on the x rail can deliver consistent infrastructure for both traditional and cloud native applications and we're doing that together with VMware the X ray o is the only jointly engineered HCI system built with VMware for VMware environments designed to enhance the native VMware experience this joint engineering with VMware and investments in software innovation together deliver an optimized operational experience at reduced risk for our customers all right so Shannon talked a bit about you know the important role of IP of course right now with the global pandemic going on it's really you know calling in you know essential things you know putting you know platforms to the test so I'd really love to hear what both of you are hearing from customers also you know VDI of course you know in the early days it was HDI only does VDI now we know there are many solutions but remote work is you know putting that back front and center so John why don't we start with you is you know what you're absolutely so first of all us - thank you I want to do a shout out to our BX real customers around the world it's really been humbling inspiring and just amazing to see the impact of our bx real customers around the world and what they're having on on human progress here you know just for a few examples there are genomics companies that we have running the X rail that have a row about testing at scale we also have research universities out in the Netherlands on doing the antibody detection the US Navy has stood up a hosta floating Hospital >> of course care for those in need so look we are here to help that's been our message to our customers but it's amazing to see how much they're helping society during this so just just a pleasure there but as you mentioned just to hit on the the VDI comments so it's your points do you know HCI and vxr8 EDI that was initially use case years ago and it's been great to see how many of our existing VX real customers have been able to inhibit very quickly leveraging via trail to add and to help bring their remote workforce you know online and support them with your existing VX rail because V it really is flexible it is agile to be able to support those multiple workloads and in addition to that we've also rolled out some new VDI bundles to make it simpler for customers more cost-effective catered to everything from knowledge workers to multimedia workers you name it you know from 250 desktops up to a thousand but again back to your point BX rail ci is well beyond video it had crossed the chasm a couple years ago actually and you know where VDI now is less than a third of the typical workloads any of our customers out there it supports now a range of workloads as you heard from Shannon whether it's video surveillance whether it's general purpose only to mission-critical applications now with SAV ha so you know this is this has changed the game for sure but the range of workloads and the flexibility of yet rail is what's really helping our existing customers from this pandemic we've seen customers really embrace HCI for a number of workloads in their environments from the ones that we serve all knew and loved back in the the initial days of of HCI now the mission-critical things now to cloud native workloads as well and you know sort of the efficiencies that customers are able to get from HCI and specifically VX rail gives them that ability to pivot when these you know shall we say unexpected circumstances arise and I think if that's informing their their decisions and their opinions on what their IT strategies look like as they move forward they want that same level of agility and the ability to react quickly with our overall infrastructure excellent want to get into the announcements what I want my team actually your team gave me access to the CIO from the city of Amarillo so maybe they can dig up that footage talk about how fast they pivoted you know using VX rail to really spin up things fast so let's hear from the announcements first and then definitely want to share that that customer story a little bit later so let's get to the actual news that and it's gonna share okay now what's new I am pleased to announce a number of exciting updates and new platforms to further enable IT modernization across core edge and cloud I will cover each of these announcements in more detail demonstrating how only the X rail can offer the breadth of platform configurations automation orchestration and lifecycle management across a fully integrated hardware and software full stack with consistent simple side operations to address the broadest range of traditional and modern applications I'll start with hybrid cloud and recap what you may have seen in the Dell technologies cloud announcements just a few weeks ago related to VMware cloud foundation on the X rail then I'll cover two brand new VX rail hardware platforms and additional options and finally circle back to talk about the latest enhancements to our VX rail HCI system software capabilities for lifecycle management let's get started with our new cloud offerings based on the ex rail you xrail is the HCI foundation for dell technologies cloud platform bringing automation and financial models similar to public cloud to on-premises environments VMware recently introduced cloud foundation for dotto which is based on vSphere 7 as you likely know by now vSphere 7 was definitely an exciting and highly anticipated release in keeping with our synchronous release commitment we introduced the XR l 7 based on vSphere 7 in late April which was within 30 days of VMware's release two key areas that VMware focused on were embedding containers and kubernetes into vSphere unifying them with virtual machines and the second is improving the work experience for vSphere administrators with vSphere lifecycle manager or VL CM I'll address the second point a bit in terms of how the X rail fits in in a moment for V cf4 with tansu based on vSphere 7 customers now have access to a hybrid cloud platform that supports native kubernetes workloads and management as well as your traditional vm based workloads and this is now available with VCF 4 on the ex rel 7 the X rails tight integration with VMware cloud foundation delivers a simple and direct path not only to the hybrid cloud but also to deliver kubernetes a cloud scale with one complete automated platform the second cloud announcement is also exciting recent VCF for networking advancements have made it easier than ever to get started with hybrid cloud because we're now able to offer a more accessible consolidated architecture and with that Dell technologies cloud platform can now be deployed with a four node configuration lowering the cost of an entry-level hybrid cloud this enables customers to start smaller and grow their cloud deployment over time VCF on the x rail can now be deployed in two different ways for small environments customers can utilize a consolidated architecture which starts with just four nodes since the management and workload domains share resources in this architecture it's ideal for getting started with an entry-level cloud to run general-purpose virtualized workloads with a smaller entry point both in terms of required infrastructure footprint as well as cost but still with a consistent cloud operating model for larger environments we're dedicated resources and role based access control to separate different sets of workloads is usually preferred you can choose to deploy a standard architecture which starts at 8 nodes for independent management and workload domains a standard implementation is ideal for customers running applications that require dedicated workload domains that includes horizon VDI and vSphere with kubernetes all right John there's definitely been a lot of interest in our community around everything that VMware's doing with vSphere 7 understand if you wanted to use the kubernetes piece you know it's it's VCF as that so we you know we've seen the announcements delt partnering there helped us connect that story between you know really the the VMware strategy and how they've talked about cloud and how you know where does the X rail fit in that overall Delta cloud story absolutely so so first of all is through the x-ray of course is integral to the Delta cloud strategy you know it's been VCF on bx r l equals the delta cloud platform and this is our flagship on-prem cloud offering that we've been able to enable operational consistency across any cloud right whether it's on prem in the edge or in a public cloud and we've seen the delta cloud platform embraced by customers for a couple key reasons one is it offers the fastest hybrid cloud deployment in the market and this is really you know thanks to a new subscription on offer that we're now offering out there we're at less than 14 days it can be set up and running and really the deltek cloud does bring a lot of flexibility in terms of consumption models overall comes to the extra secondly I would say is fast and easy upgrades I mean this is this is really this is what VX real brings to the table for all our clothes if you will and it's especially critical in the cloud so the full automation of lifecycle management across the hardware and software stack boss the VMware software stack and in the Dell software however we're supporting that together this enables essentially the third thing which is customers can just relax right they can be rest assured that their infrastructure will be continuously validated and always be in a continuously validated state and this this is the kind of thing that you know those three value propositions together really fit well with with any on print cloud now you take what Shannon just mentioned and the fact that now you can build and run modern applications on the same the x-ray link structure alongside traditional applications this is a game changer yeah it I love you know I remember in the early days that about CI how does that fit in with cloud discussion and align I've used the last couple years this you know modernize the platform then you can modernize the application though as companies are doing their full modernization this plays into what you're talking about all right let's get you know can't let ran and continue get some more before we dig into some more analysis that's good let's talk about new hardware platforms and updates that result in literally thousands of potential new configuration options covering a wide breadth of modern and traditional application needs across a range of the actual use cases first up I am incredibly excited to announce a brand new delhi MCB x rail series the DS series this is a ruggedized durable platform that delivers the full power of the x rail for workloads at the edge in challenging environments or for space constrained areas the X ray LD series offers the same compelling benefits as the rest of the BX rail portfolio with simplicity agility and lifecycle management but in a lightweight short depth at only 20 inches it's a durable form factor that's extremely temperature resilient shock resistant and easily portable it even meets mil spec standards that means you have the full power of lifecycle automation with VX rail HCI system software and 24 by 7 single point of support enabling you to rapidly react to business needs no matter the location or how harsh the conditions so whether you're deploying a data center at a mobile command base running real-time GPS mapping on-the-go or implementing video surveillance in remote areas you can ensure availability integrity and confidence for every workload with the new VX Rail ruggedized D series had would love for you to bring us in a little bit you know that what customer requirement bringing bringing this to market I I remember seeing you know Dell servers ruggedized of course edge you know really important growth to build on what John was talking about clouds so yeah Chad bring us inside what was driving this piece of the offering sure Stu yeah you know having the the hardware platforms that can go out into some of these remote locations is really important and that's being driven by the fact that customers are looking for compute performance and storage out at some of these edges or some of the more exotic locations you know whether that's manufacturing plants oil rigs submarine ships military applications in places that we've never heard of but it's also been extending that operational simplicity of the the sort of way that you're managing your data center that has VX rails you're managing your edges the same way using the same set of tools so you don't need to learn anything else so operational simplicity is is absolutely key here but in those locations you can take a product that's designed for a data center where you're definitely controlling power cooling space and take it to some of these places where you get sand blowing or sub-zero temperatures so we built this D series that was able to go to those extreme locations with extreme heat extreme cold extreme altitude but still offer that operational simplicity if you look at the the resistance that it has to heat it can go from around operates at a 45 degrees Celsius or 113 degrees Fahrenheit range but it can do an excursion up to 55 °c or 131 degrees Fahrenheit for up to eight hours it's also resisted the heats and dust vibration it's very lightweight short depth in fact it's only 20 inches deep this is a smallest form factor obviously that we have in the BX rail family and it's also built to to be able to withstand sudden shocks it's certified it was stand 40 G's of shock and operation of the 15,000 feet of elevation it's pretty high and you know this is this is sort of like where were skydivers go to when they weren't the real real thrill of skydiving where you actually the oxygen to to be a put that out to their milspec certified so mil-std 810g which i keep right beside my bed and read every night and it comes with a VX rail stick hardening package is packaging scripts so that you can auto lock down the rail environment and we've got a few other certifications that are on the roadmap now for for naval chakra quirements EMI and radiation immunity of all that yeah you know it's funny I remember when weights the I first launched it was like oh well everything's going to white boxes and it's going to be you know massive you know no differentiation between everything out there if you look at what you're offering if you look at how public clouds build their things what I call it a few years poor is there's a pure optimization so you need scale you need similarities but you know you need to fit some you know very specific requirements lots of places so interesting stuff yeah certifications you know always keep your teams busy alright let's get back to Shannon we are also introducing three other hardware based editions first a new VX rail eseries model based on were the first time AMD epic processors these single socket 1u nodes offered dual socket performance with CPU options that scale from 8 to 64 cores up to a terabyte of memory and multiple storage options making it an ideal platform for desktop VDI analytics and computer-aided design next the addition of the latest NVIDIA Quadro RT X GPUs brings the most significant advancement in computer graphics in over a decade to professional workflows designers and artists across industries can now expand the boundary of what's possible working with the largest and most complex graphics rendering deep learning and visual computing workloads and Intel obtain DC persistent memory is here and it offers high performance and significantly increase memory capacity with data persistence at an affordable price persistence is a critical feature that maintains data integrity even when power is lost enabling quicker recovery and less downtime with support for Intel obtain DC persistent memory customers can expand in memory intensive workloads and use cases like sa P Hana alright let's finally dig into our HCI system software which is the core differentiation for the xrail regardless of your workload or platform choice our joint engineering with VMware and investments in the x-ray HCI system software innovation together deliver an optimized operational experience at reduced risk for our customers under the covers the xrail offers best-in-class Hardware married with VMware HCI software either vcn or VCF but what makes us different stems from our investments to integrate the two Dell technologies has a dedicated VX rail team of about 400 people to build market sell and support a fully integrated hyper-converged system that team has also developed our unique the X rail HDI system software which is a suite of integrated software elements that extend VMware native capabilities to deliver a seamless automated operational experience that customers cannot find elsewhere the key components of the x rail HDI system software are shown around the arc here that include the X rail manager full stack lifecycle management ecosystem connectors and support I don't have time to get into all the details of these elements today but if you're interested in learning more I encourage you to meet our experts and I will tell you how to do that in a moment I touched on VLC M being a key feature to vSphere seven earlier and I'd like to take the opportunity to expand on that a bit in the context of the xrail lifecycle management the LCM adds valuable automation to the execution of updates for customers but it doesn't eliminate the manual work still needed to define and package the updates and validate all of the components prior to applying them with the X ray all customers have all of these areas addressed automatically on their behalf freeing them to put their time into other important functions for their business customers tell us that lifecycle management continues to be a major source of the maintenance effort they put into their infrastructure and then it tends to lead to overburden IT staff that it can cause disruptions to the business if not managed effectively and that it isn't the most efficient economically Automation of lifecycle management in VX Rail results in the utmost simplicity from a customer experience perspective and offers operational freedom from maintaining infrastructure but as shown here our customers not only realize greater IT team efficiencies they have also reduced downtime with fewer unplanned outages and reduced overall cost of operations with the xrail HCI system software intelligent lifecycle management upgrades of the fully integrated hardware and software stack are automated keeping clusters in continuously validated States while minimizing risks and operational costs how do we ensure continuously validated States Furby xrail the x-ray labs execute an extensive automated repeatable process on every firmware and software upgrade and patch to ensure clusters are in continuously validated states of the customer's choosing across their VX rail environment the VX rail labs are constantly testing analyzing optimising and sequencing all of the components in the upgrade to execute in a single package for the full stack all the while the x rail is backed by Delhi MCS world-class services and support with a single point of contact for both hardware and software IT productivity skyrockets with single-click non-disruptive upgrades of the fully integrated hardware and software stack without the need to do extensive research and testing taking you to the next VX rail version of your choice while always in a continuously validated state you can also confidently execute automated VX rail upgrades no matter what hardware generation or node types are in the cluster they don't have to all be the same and upgrades with VX rail are faster and more efficient with leap frogging simply choose any VX rail version you desire and be assured you will get there in a validated state while seamlessly bypassing any other release in between only the ex rail can do that all right so Chad you know the the lifecycle management piece that Jana was just talking about is you know not the sexiest it's often underappreciated you know there's not only the years of experience but the continuous work you're doing you know reminds me back you know the early V sand deployments versus VX rail jointly develop you know jointly tested between Dell and VMware so you know bring us inside why you know 2020 lifecycle management still you know a very important piece especially in the VL family yeah let's do I think it's sexy but I'm pretty big nerd yes even more the larger the deployments come when you start to look at data centers full of VX rails and all the different hardware software firmware combinations that could exist out there it's really the value that you get out of that VX r l HTI system software that Shannon was talking about and how its optimized around the VMware use case very tightly integrated with each VMware component of course and the intelligence of being able to do all the firmware all of the drivers all of the software altogether tremendous value to our customers but to deliver that we really need to make a fairly large investment so she Anna mentioned we've run about twenty five thousand hours of testing across each major release four patches Express patches that's about seven thousand hours for each of those so obviously there's a lot of parallelism and and we're always developing new test scenarios for each release that we need to build in as we as we introduce new functionality one of the key things that were able to do as Shannon mentioned is to be able to leapfrog releases and get you to that next validated state we've got about 100 engineers just working on creating and executing those test cases on a continuous basis and obviously a huge amount of automation and then when we talk about that investment to execute those tests that's well north of sixty million dollars of investment in our lab in fact we've got just over two thousand VH rail units in our testbed across the u.s. Shanghai China and corn island so a massive amount of testing of each of those those components to make sure that they operate together in a validated state yeah well you know absolutely it's super important not only for the day one but the day two deployments but I think this actually be a great place for us to bring in that customer that Dell gave me access to so we've got the CIO of Amarillo Texas he was an existing VX rail customer and he's going to explain what happened as to how he needed to react really fast to support the work from home initiative as well as you know we get to hear in his words the value of what lifecycle management means though Andrew if we could queue up that that customer segment please it was it's been massive and it's been interesting to see the IT team absorb it you know as we mature and they I think they embrace the ability to be innovative and to work with our departments but this instance really justified why I was driving progress so so fervently why it was so urgent today three years ago we the answer would have been no there would have been we wouldn't have been in a place where we could adapt with it with the x-ray all in place you know in a week we spun up hundreds of instant phones we spawned us a seventy five person call center in a day and a half for our public health we will allow multiple applications for Public Health so they could do remote clinics it's given us the flexibility to be able to to roll out new solutions very quickly and be very adaptive and it's not only been apparent to my team but it's really made an impact on the business and now what I'm seeing is those those are my customers that were a little lagging or a little conservative or understanding the impact of modernizing the way they do business because it makes them adaptable as well all right so rich you talked to a bunch about the the efficiencies that they tie put place how about that that overall just managed you know you talked about how fast you spun up these new VDI instances you need to be able to do things much simpler so you know how does the overall lifecycle management fit into this discussion it makes it so much easier and you know in the in the old environment one it took a lot of man-hours to make change it was it was very disruptive when we did make change this it overburdened I guess that's the word I'm looking for it really over overburdened our staff it cost disruption to business it was it cost-efficient and then you simple things like you know I've worked for multi billion-dollar companies where we had massive QA environments that replicated production simply can't afford that at local government you know having the sort of environment lets me do a scaled-down QA environment and still get the benefit of rolling out non disruptive change as I said earlier it's allow us to take all of those cycles that we were spending on lifecycle management because it's greatly simplified and move those resources and rescale them in in other areas where we can actually have more impact on the business it's hard to be innovated when a hundred percent of your cycles are just keeping the ship afloat all right well you know nothing better than hearing straight from the end-user you know public sector reacting very fast to the Cova 19 and you know you heard him he said if this had hit his before he had run this project he would not have been able to respond so I think everybody out there understands if I didn't actually have access to the latest technology you know it would be much harder all right I'm looking forward to doing the crowd chat and everybody else digging with questions and get follow-up but a little bit more I believe one more announcement he came and got for us though let's roll the final video clip in our latest software release the x-ray of 4.7 dot 510 we continue to add new automation and self-service features new functionality enables you to schedule and run upgrade health checks in advance of upgrades to ensure clusters are in a ready state for the next upgrade or patch this is extremely valuable for customers that have stringent upgrade windows as they can be assured the clusters will seamlessly upgrade within that window of course running health checks on a regular basis also helps ensure that your clusters are always ready for unscheduled patches and security updates we are also offering more flexibility and getting all nodes or clusters to a common release level with the ability to reimage nodes or clusters to a specific the xrail version or down Rev one or more more nodes that may be shipped at a higher Rev than the existing cluster this enables you to easily choose your validated state when adding new nodes or repurposing nodes in cluster to sum up all of our announcements whether you are accelerating data center modernization extending HCI to harsh edge environments deploying an on-premises Dell technologies cloud platform to create a developer ready kubernetes infrastructure BX Rail is there delivering a turnkey experience that enables you to continuously innovate realize operational freedom and predictably evolve the x rail provides an extensive breadth of platform configurations automation and lifecycle management across the integrated hardware and software full stack and consistent hybrid cloud operations to address the broadest range of traditional and modern applications across core edge and cloud I now invite you to engage with us first the virtual passport program is an opportunity to have some fun while learning about the ex rails new features and functionality and score some sweet digital swag while you're at it it delivered via an automated via an augmented reality app all you need is your device so go to the x-ray is slash passport to get started and secondly if you have any questions about anything I talked about or want a deeper conversation we encourage you to join one of our exclusive VX rail meet the experts sessions available for a limited time first-come first-served just go to the x-ray dot is slash expert session to learn more you all right well obviously with everyone being remote there's different ways we're looking to engage so we've got the crowd chat right after this but John gives a little bit more is that how Del's making sure to stay in close contact with customers and what you've got firfer options for them yeah absolutely so as Shannon said so in lieu of not having Dell tech world this year in person where we could have those great in-person interactions and answer questions whether it's in the booth or you know in in meeting rooms you know we are going to have these meet the experts sessions over the next couple of weeks and look we're gonna put our best and brightest from our technical community and make them accessible to to everyone out there so again definitely encourage you we're trying new things here in this virtual environment to ensure that we could still stay in touch answer questions be responsive and really looking forward to you know having these conversations over the next couple weeks all right well John and Chad thank you so much we definitely look forward to the conversation here in int in you'd if you're here live definitely go down below do it if you're watching this on demand you can see the full transcript of it at crowd chat /vx rocks sorry V xrail rocks for myself Shannon on the video John and Chad Andrew man in the booth there thank you so much for watching and go ahead and join the crowd chat

(upbeat music) >> Live from Boston, Massachusetts It's theCUBE covering Red Hat Summit 2019. (upbeat music) Brought to you by Red Hat. >> Welcome back live here in Boston along with Stu Miniman, I'm John Walls. You are watching The Cube. We are at the Red Hat Summit for the sixth time in our cube history. Glad to be here. Beautiful, gorgeous day Stu by the way in your hometown. >> Yeah love, beautiful day. It was a little cold when we were here two years ago, but lovely spring day here in Boston Yeah great to be here Glad you're with us here on the Cube Glad to have John Healy with us as well He is the VP of the Internet of Things group at Intel as long as the GM of Platform Management and Customer Engineering John, good morning to you. >> Good morning to you too >> You're kind of the newbie on the block in the IOT group Your data center for a long time moving over to IOT, so just if you would tell me a little bit about that transition >> Yeah, it's been good. >> What you're seeing and kind of what's exciting you about this opportunity for you. >> So it's really interesting, I spent nearly 15 years with the data center group at Intel, did a ton of work with partners like Red Hat over the years. A lot of our focus was in how we bring a lot of data center technologies and grow them somewhat beyond the basic data center. I spent a lot of time on the data network side working with com service providers and Aviv and the build out of their softwarization or cloudification if you like of the infrastructure and now moving over to IOT it's almost like I'm going to the other end of the wire. You know all of the applications and the services we were focused on were very much IOT centric You know enabling new markets, enabling customers to do things when they connected their different devices in ways they couldn't have done before. So, a lot of the focus now is on how we continue to bring those cloud technologies. A lot of things that have matured in the data center further and further down and a lot of cases to the edge in talking about the cloudification of the edge and enable new IOT services and IOT applications to fulfilled and to be delivered. >> John you bring great context to this discussion and I've said the last 10 years there was that pull of the cloud and Intel is at every single show that we go to And a lot of people haven't fully understand and grasp. They hear edge computing, they hear IOT and it's big you know orders of magnitudes more devices you know the surface area that we're going to do their but a lot of times, they're like oh well we're bringing it out of the cloud and back there and we're back in the data center I'm like no no no no no This is not the data centers that you built before, but there is connection between data centers >> Sure >> And the cloud and the edge and the edge in there so you've got good content. Help frame it a little bit as to where we are in the discussion. Some of the users, where they are in the whole IOT discussion. >> Yeah and I think we need to take a step back from looking at one demographic versus another think of IOT versus cloud It really is the continued proliferation of distributed computing. Think of that as sort of the horizontal underpinning of all... >> Absolutely. >> It's how do I enable more and more advanced intelligence and insight to be gained from the data that is being created and derived in how I run my infrastructure and relay new services and new capabilities on top of it and then you start applying that to all of the different markets and there's almost no market that you could conceive that can't take advantage of that So, as we build out data center capability and all of the underpinnings and how you best build out those platforms and take advantage of all the innovation, work with you know partners like Red Hat as being a critical component of that. So, you know we've worked with them for almost actually since the beginning, we were one of the early investors and work with a partner like Red Hat to make sure that those infrastructure components are optimized to work well together build a reference architecture that can be deployable in a data center environment whether it's in an enterprise or in a cloud vendors environment and increasingly enable them to build open and hybrid implementations Now, the reason I start there is because really we are proliferating from that pace. So if you consider, and we do, that the future is open, hybrid implementations, hybrid cloud, multi cloud where the workload can be enabled and supported by the best implementation and best environment from it. Could be the best cloud environment, the best underpinning platforms and the best solution stacks to enable that to occur. We're now moving that into realm of more and more of the IOT applications whether it's in industrial environments, it's in healthcare environments, in retail and automotive, all across the different landscape the premises is essentially the same that we insure that the right environment is created for the application to be supported and we're bringing more and more of the environmental you know capabilities of cloud like deployment cloud like management, increasingly out into those applications So, if you look at each of the different markets they're at differing points of their maturity or of their development I like to use the example of the com service provider the telecom service providers as sort of a basis of this is what happened when an entire market looked at the benefits of data center technology or server technologies and wanted the economies of scale and the openness of those environments to be appropriate and deployed in their environment, in their networks and we've seen that over the last 10 years in the journey from software SaaS for defining networking all the way through to NFV and now it's happening with cloudification of the network. Industrial environments are very very similar Decades of building you know vertically integrated solutions but not looking for the economies of scale that cloud like technology and open interfaces and open extractions can provide and we're starting to see them embark on that journey in a very similar manner. So, I see parallels as we move through from one market to the other But the basic underpinning is very similar. How we take advantage of those capabilities. >> Yeah fascinating stuff You said it's distributed architectures is where were building I look at Intel and it's fascinating to me because one the one hand everything's becoming more and more distributed yet at the same time you're baking things down into the chip as much as you can, you're working with partners at Red Hat to make sure that you know what gets baked into the kernels so you've got that give and take that it is both being as distributed as possible yet every component gets things like security built in to it and it has to work with all of the environments so it's not the discreet components that we might have had before and you talk about6 you know IT versus OT well they're becoming very similar, telecommunications is not the telecom of the dot com boom. They're doing things like NFV and the likes so you know we're starting to see IT kind of take over a lot of those environments are we not? >> Well, I think IT constructs and the abilities and capabilities of IT and it's the merging really is and we saw this you know we seen it over the last number of years it really is a marriage of both environments coming together the mechanism but though which IT will deploy and manage the infrastructure married to the expectations from a SLA and quality of service and such that's required on the network just as one example and then as we work with our partner like Red Hat, what's critically important is that we have multiparty approaches to the market which I think Stu to your point is kind of another dynamic we're seeing is that the implementation of the final solution at a platform level requires collaboration across multiple different entities, multiple different partners so if we're working with Cisco or with Dell or with Lenovo and Red Hat we're bringing together reference architectures that take advantage of the innovations in the platform, the work we're doing, the innovations into the silicone and the enabling and preservation of those innovations through the software stack. So whether its RHEL or Rev or its OSP and make sure that those are exposed and can be preserved in the implementation so then the application that sits on top of the stack can take advantage all the way down and be provisioned such that it maintains the policies and the levels of performance and such that of being defined for it. >> I'd like to you know go back to the telecom illustration that you were talking about just a movement ago and we talked about the internet of things and this explosion of devices and capabilities and the new spectrum that's being rolled out right 5G on the horizon You know very much in a nascent stage right now What is that going to do in terms of your attention or your focus because of the capabilities are going to be provided you know that I can't even imagine the kinds of speeds we're talking about the kind of capabilities we're talking about. How does that change your world? >> I think what is fundamental about 5G is how it starts to address some of the underpinning challenges in deploying multiple billions of connected endpoints or devices so IOT you know subscribes really to two things Connectivity and then the access to our unleashing of all of the data it's really those two dynamics Once you comment these devices together or provide for connectivity to and from them, you now have the ability to drive more insight from the data that they're capturing and make more intelligent and informed decisions about how you provision and then all sources of new applications and service types become possible as a result of that but there in both of those there's a challenge. How do you connect all of those devices together in a manner that's you know efficient to deploy and easy to manage and also provide for the connectivity that is very burst in nature You know there are time when you will need pretty reasonable sizeable bandwidth if it's a video type application and times when you really won't need very much at all and how do you do that in an environment that's affordable and cost effective to deploy? If you're a manufacturing plant manager running cable to every single one of your You know nodes or connectors or sensors across your production plant is a pretty orneriest task and its an expensive capital deployment, but 5G provides you the ability to provide that connectivity within your enterprise or within your factory environment in an efficient manner. It's wireless based. It also provides for the very low latency that allows for real time applications and it provides for mass deployment and management of very large numbers of endpoints so if we think of the density of 5G the low latency capability of it and then the manageability in framework that is in an environment that is predictable that is policy and SLA governed you start to address some of the really fundamental challenges that connecting vast numbers of devices that that can present. So I see 5G as a path to significantly accelerating what we have always envisioned as being the internet of things and as a result of it, new services and new service categories will be enabled on top of it that were before maybe possible but not possible in an efficient and affordable manner >> Can you give me a practical example of that or just... >> Well, if you think even a smart city as an example where the light posts and the traffic signals and kiosks are all playing a role in a connected mesh of interconnected entities you could have a situation and you know for the US audience something like an Amber Alert which we'd see where we want to you know search for a very specific license plate in the city. Well today its a pretty manual process, the Amber Alert is issued, it may be a text on your phone. We get those alerts, there's often times a display over to the smart display over the freeway but then it's up to the drivers to look out. Well just consider the possibilities when the cars using their own vision, which the autonomous driving you know evolution or revolution is allowing us progressing All of the cameras on all of the cars now become actively watching for license plates and they can pick up whether and then a car can enroll itself into or out of that service so if your car is sitting at a garage and this request comes it'll report back I'm sitting in the garage I'm not part of the mix but if it's on the freeway, it can enroll itself and start to actively search for that license plate that's an example and then all of the connected nodes across the city become points for an exchange of data to and from the different cars as they are passing by and all of that infrastructure is enabled by 5G. So that's an application that yeah we don't have it today, but it becomes a very possible application in the future. >> Alright John, so we're at Red Hat Summit and as you said Intel and Red Hat have a long partnership RHEL 8 was announced today can you give us the latest on the deep integrations and what users should be expecting. >> Yeah and what we're really excited about with Red Hat over the years we've really shared a common vision about what we believe the industry should be capable of achieving and this concept of open hybrid environment, it's open hybrid clouds we've been working with them for a long time on how we best enable that so in upstream we work well together, we collaborate on what technologies we want to see exposed and supported within the different communities and then on the downstream into the products with the example of what you're describing to do with RHEL 8 What's really exciting is we did it just as a example, we did a very large data centric launch in early April We were extremely excited to bring you know a whole portfolio of new products to the market together to expand form new CPUs all the way through to some of our storage products and memory products and the capabilities of each of those is what really needs to continued to be integrated and supported with the product portfolio that Red Hat had so with RHEL 8 we're seeing things like our DL Boost for deep learning you know taking advantage of specific accelerations within the CPU in our scalable ZM processor so it can take advantage of those and really enhance the performance and behavior of the deep learning algorithms just as one example and that's you know time to market with us on RHEL 8 we're delighted about the integration as it happened same thing with some of our memory technologies and the support for those within RHEL so a customer deploying an application knows that the innovations within the hardware within the silicone are available and manageable form the software environment that they're deploying and that's the benefit of this tight collaboration as we plan together for future you know innovations and how they can best be integrated and do the work upstream in advance of that so that the community issues whether it's open shift or open stack is enabled and capable of the support at the same time >> Internet of things just before you head off where do you want to, you're still relatively fresh right to that space, where do you think you want it to go with Intel? Like what's your vision or what are your thoughts about the kinds of areas that you'd like to explore here over the next 18-24 months? >> I think we have, first thing is an incredibly exciting market some of the examples we just spoke about, the possibilities that they open up for our customers but also for our partners to really evoke new forms of business, new revenues, new capabilities as a result of bringing the marriage of cloud technology together with the economics of you know volume technology consumption and deployment and all of those assets across into a new set of applications that IOT opens up I see tremendous opportunity to make that marriage happen but also because I've spent so much time on the infrastructure side and very much with com service providers you know I can feel the pent up desire to find ways to deploy new types of manage services and new monetization models if they can get inside the data how we do optimal deployment of networks manage infrastructure on behalf of end customers and all that becomes possible if we bring the application and the IOT closer to the infrastructure so a lot of my focus will really be on bridging across those different worlds ensuring that work with you know partners like Red Hat continue to be the developed very successfully and we open up new opportunities for each other >> Sure. An exciting time, there's no doubt about that. You're at this great convergence right? You're at the fun and games part of this with devices and that exponential growth John thanks for thanks for the time. >> Sure, thank you. >> Glad to have you here on theCUBE once again John Healy joining us from Intel back with more live from Boston you're watching theCUBE. (upbeat music)

(electronic music) >> Narrator: Live from Las Vegas it's theCUBE! Covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome back to theCUBE's coverage of NetApp Insight 2018, Lisa Martin with Stu Miniman and guess who's here now, Dave Hitz, EVP and founder of NetApp, Dave, welcome back to theCUBE. >> Thank you and glad to be here. >> This is a big event, we were in the keynote this morning when we were walking out, standing room only really strong messages delivered by George Kurian, who stopped by for the first time couple hours ago. Great customer story, the futurist was very interesting perspective, 26 years ago, can you envision? >> You know the futurist? >> Where you are? >> Never mind that, I have a very different perspective than him, I think we are entering the golden decade of artificial intelligence. It's smart enough to be super, super cool and it hasn't figured out how to kill us yet, decade. (laughing) >> Lisa: That's good. >> Enjoy your last 10 years. >> Oh no, that's it? >> I, no, no, you asked, you asked that I envision this 26 years ago, oh my god, no, I mean, you know, we were a little start-up and we had these spread sheets that said we would grow to, you know it basically that, what the VC's told us if we could get to 100 million in revenue we can go public, so, naturally our spread sheets showed 200 million (laughs) in revenue, you know or five, six, some where in there and is like, we're so far beyond anything I imagined when we started, and we were doing technical nerdy products for little engineers and little work groups, you know and the idea that that part of the storage market would merge against the heavy duty, high-end enterprise storage market doing databases, and then that would end up colliding with the cloud market and helping, like no we didn't even imagine this stuff that's happening now, I mean it's so far beyond. >> Enabling DreamWorks to make movies, I mean-- >> I love that, you know they do showings, they do previews for their vendors and so I've gotten to take my 11-year-old daughter, she's 11 now, but to see, you know early viewing of some of these movies it's, it's just fun. >> So, Dave, it's always interesting in the industry a lot of time you say like, okay, this architecture is long in the tooth, there's a new generation do things better and everything like that. ONTAP, been around for a long time now.. >> You know, so let me-- >> Seems like it's been reinvigorated with the cloud and everything like that, you know. >> Let me make a comment about that. >> Yeah. >> Cause people do this, oh, ONTAP is so old, isn't that the old generation? So lets talk about old. Mainframes are old, and AS400s are old, and Unix is old, and then there's Windows which is kind of younger, and ONTAP's younger than that, and then there's Windows NT, which was a rewrite of Windows and Clustered ONTAP is younger than that, so like stop with the old, you know I mean iOS is after that, so okay fine we're older than iOS, but it's not an ancient, and then we've revamped it again to go run in the cloud, I mean we first started doing ONTAP running in Azure, sorry I mean Amazon initially, we started that work in 2013 and shipped it in 2014, so like that was yet another refresh so. >> Well, but you bring a point, you've, it is adjusted and moved, it wasn't something that's static. Can you speak a little bit, that cloud, the you know, the rewrite and focus around the cloud and what, that mean internally, I know you've been reinvigorated. >> Ha! >> With everything that's happened for the last few years. >> You know, the cloud everybody's doing it now and everybody's trying to be cloud relevant, we were really struggling early on I will say you know 2013, 2014 we were really trying to get our heads around what to do and a lot of people were stepping back like, no, no, no, let's see if we can slow it down, and, I mean not just outside of NetApp but NetApp as well, and the guy that was the CEO of the time Tom Georgens, and George Kurian was part of the staff then. We, I'm proud of what we did was we said, you know let's really lean in, its either going to happen or it's not going to happen, probably not, based on what we do, and if it does happen we'll be way better off leaning into it early, learning how to make this stuff work, and that's, you know we shipped ONTAP in the cloud in 2014, and it sucked, I mean, and no one body else had anything like it, it was awesome, right, whenever you look at old tech die, the first iPhone sucked too, but it was both great, but it needed so much more work, like the very first rev I remember a story, Joe CaraDonna as a programmer he's like, we tried to get our own IT organization to use it and they told us the security wasn't good enough, so we had to fix the security, like, I mean we've been through so much stuff that's almost five years ago. We've been working on it, and so you do all of this work and then Cloud Volumes is a complete, have you guys had Anthony on? >> Both: Yes. >> Couple hours ago. >> I love how Anthony thinks, so, he's a cloudy guy right from the foundation, he joins the executive staff, whole new perspective on stuff, so Cloud ONTAP, like ONTAP's my baby and we put it in the cloud. I'm proud of that, like you have our forward leaning cloud and Anthony's like, you know, just so you know, that's not nearly good enough, like, that is a very old school infrastructural thing, probably storage infrastructural people will like that they can have their same old OS running in the cloud, but it's not what cloudy people want, cloudy people don't want to run a storage OS in the cloud, cloudy people just want to say, I'd like a volume, please. Here's your volume, Thank you, and by the way, it should be a RESTful API, like God, ONTAP was none of those things and so if you look at the work we're doing now is like, okay, here's a RESTful API, here's the JSON schema, send it to the Azure Resource Manager Like that's cloudy and so, it was because, you know we did a good job engineering getting it in but we didn't, we didn't have that like the, what does cloud smell like? If you know what I mean, like, the right whiff of cloud. Anyway, so Anthony really brought that and I, and I just feel really good about where we are at now, because, it's like cloud developers, develop this stuff for other cloud developers, it feels like that. >> Well in the last five years it sounds like tremendous amounts of transformation, reinvigoration, NetApp has some bold marketing messaging. We are the data authority, we help customers become data driven, you talk about these three business imperatives, customers have lots of choices that, you know public cloud, private cloud, hybrid, George talked about this morning in his keynote that hybrid and multi-cloud is now de facto. >> You know, someone asked me, I was giving a talk and they asked me, okay so much cloud, how long do you think till NetApp's not shipping hardware? And I was like, no, no, like we don't see that going away anytime soon, if anything we think our success in the cloud, 'cause customers want to do that, will help us gain share on-prem because customers also want to do that, right? George's picture shows, yes there is traditional on-prem IT, enterprise IT, there's private clouds people, HCI, convergence CI, and then there's public cloud. To me the interesting question, is why do people do those different things, the number one driver for public cloud is innovation, like, if you just, like all the catchwords you can think of, if you want to start up a DevOps team to-go program, I would like a new mobile phone app and I want it to take a picture of the person's face, oh look it's a woman, she looks happy, and then you want it to listen to her, to the voice, and like transcribe the voice and then do a sentiment analysis on the words, oh, she looked happy but it's snarky, and then you want to feed that into neural net deep learning engine, and say, what should we try to sell her, like, I guaranteed you, the team working on the public cloud will beat the on-prem team hands down every time. Right, I mean that's, so when you look at people and they go, we want all in on the cloud, or there's got to be 100% cloud. My question is what, what's your, like, don't start with that, what's your problem? If it's derive innovation, for the private cloud, typically that's just all about speed. They're so uniform regular, they're all the same you have extra capacity, you know you got empty rack space, for where the next one goes, someone says, I need some storage, and you say, hey, it's got a self service offer defined API, like, just do it yourself, and then in the enterprise space, the enterprise IT, Unix, Windows, clients, server, like that zone, probably the bulk of your investment, right? That's where you been spending the money historically. Probably still the bulk of most people's investment, but they want to modernize it, they don't want to get rid of it, they don't want to turn it off, it's working, but they'd like it to work better, so flash enable it, just get the performance issues out of the way. By the way, shrinks your footprint in the data center, frees up space, and connected to the cloud. Like not moving it, but just back it up or do DR, or like something cloudy and so to me I look at those three goals are tightly linked to the three styles of infrastructure. Notice, I haven't talked about products yet? The conversations I like to have with customers these days, help me understand what your business challenges are, your trying to move faster, be more innovative, modernize the stuff you have. Okay, like what ratio, now lets talk about how we could do those things together with the Data Fabric and let you build the Data Fabric you need, I mean, our Data Fabric strategy is not to tell customers what to do, it's to help them build the Data Fabric they need for their needs based on, oh, we're all about innovation, all on the cloud, like okay fine. We can do that like, but let's talk about that or is it. Now I'm stuttering. >> You bring up a great point there, Dave. >> I'm excited about this stuff. >> It's really exciting 'cause you know I think back, you know, just a couple of years ago, if you go to the enterprise, oftentimes storage was the boat anchor to prevent me from moving forward. Now we know that data, is absolutely going to be one of the drivers going forward, how do we help those people make that transition? How do you see NetApp driving that transition? So boating, that's an interesting word because I think if you look at cloud compute, it's very easy to move compute into the cloud, right. >> Stu: Yes. >> The thing about compute is it just happens and then its done, like you turn it on, you turn if off. You spin up the VM, you spin down the VM, it's easy. The reason data is a boat anchor is not because its a boat anchor, because data is the hard part, like you fired up the compute to the cloud but usually you're computing some data, well, how did you get the data to the place where the compute is? And then when you're finished a lot of times you created some data, well, how do you keep track of the data you created in the cloud, and is it legal for it to stay in the cloud, and now you want to put the data in a different cloud or put the data in your own data center and like, who's watching all that data? It's not a boat anchor because data sucks, it's a boat anchor actually because its the important thing you want to keep forever, right? I mean, maybe you do or maybe you want to delete it and know for sure it's gone. Like, those, compute doesn't have any of those issues. So, what's my point, whatever is hard, like if this was easy anybody can do it, right? Whatever is hard, you go hire lots and lots of smart people to work on hard problems and then customers are like, whoa, you're solving hard problems, I guess I will pay you after all. Isn't that what business is? >> So the majority of your conversations start with helping customers identify what they've got, where best to spread out their investments, it's not product based its about business outcomes. I'd love to get kind of in the last few minutes here, your perspective on NetApp's own IT and digital, and cultural transformation, how does that help your legacy long time enterprise customers feel an even stronger trust with NetApp? >> I think prior to our cloud work customers for the most part, customers and potential customers, they knew us, you know, it was interesting even as we thought about marketing the new work that we are doing, one of the questions was like, how much should be about the cloud, how much should be about the old stuff, and we've really leaned in almost 100% on telling people our new cloud stories, they're both public and private. And our VP of marketing I think she had a really, Jean English, she had a really good perspective. She basically said look, we've been telling the on-prem storage iron story for 26 years and if there's a customer who's out there waiting to decide who to use I don't think telling them that story again and year 27, is going to be the thing that makes the difference, like, they've decided they're happy with their Hitatchi or they're EM's, whatever it is, but, but they don't know that NetApp can help them in this brave new world. Right, they have no clue that ONTAP is also running on Amazon, I mean, It's like, seriously, I can run ONTAP on Amazon? Yeah like fire it up, it's five bucks an hour, or whatever the number is, it's like that's crazy, you know and so, so and then people go, well, we've had so many conversations where they're trying to get a cloud strategy together, and we talk about all these things and data movement and data management and cloud, and like just all of these tools and they're very excited about where they're trying to go and they said, you know, by the way, I do also have a on-prem storage need. Could you do me a quote for like what I need this week and meanwhile let's do some planning about what I need next year, right, you've got both of them working together, and I think it's that combo that's important. >> Last question, how do you, if only you had more energy and excitement like legitimately about this, but how do you keep some of the NetApp folks that have been here for a long time? How have you helped reinvigorate them to, to really be able to digest the massive impact that you guys are being able to make across industries? >> One of the things I think helps, 'cause there is a... Let me back up a step, you know, Steve Jobs, is such an awesome guy and also in his life he made so many mistakes, and one of the things he did when, when Apple was almost entirely floated on their Apple III business and, was that Apple III, Apple II? And he was doing the Mac, and basically his message to everybody else was, if you're not working on the Mac, you suck, except, by the way, that's the product that's floating the entire business and generating all the products, and I really was conscious of, like that's the wrong way to do it. And when I look in particular of what we're doing we've got new operating systems like E-Series and like SolidFire, the HCI is a whole new thing, and yet ONTAP is still shot through our entire product line. I mean, the Cloud Volumes' the cool, hottest new thing. It's ONTAP under the covers, right, and you look at the HCI it's got the SolidFire block storage built in there as a very scalable model, oh but if you'd like files guess what? We run ONTAP in a VM, it's HCI it runs VM, and so actually if you look at what's going on in there the work that we've done going way back, and yes it's evolved, it's changed, but that same work is actually shot through as technology, no longer the front piece but it's shot through all of it as technology, so it is kind of a unifying characteristic. If you talk about that, I think it helps people get more comfortable both internally but, we have the same, you know, you asked how do you get employees comfortable, a lot of customers have the same problem, you know-- >> Lisa: Right. >> They've spent a lot of investment and learning ONTAP's foibles over the year and Cloud Volume's hides all of that. So, gee, maybe I don't like this, you know what if you need all those features Cloud ONTAP, you can run ONTAP, like some people do want to do that, so, I just feel like the fact that the pieces all fit together, work together, actually gets people comfortable with it. >> Excellent, well Dave thanks so much for stopping by. >> Thank you for having me. >> Thank you for sharing your energy, and your excitement, your passion and all this wisdom and looking at where you guys are 26 years later, we look forward to year 27. >> Great, thank you. >> We want to thank you for watching theCUBE, I'm Lisa Martin with Stu Miniman, we're at NetApp Insight 2018 in Vegas. Stick around Stu and I will be right back with our next guest. (electronic music)

>> From Boston Massachusetts, it's The Cube! Covering LiveWorx 18. Brought to you by PTC. >> Welcome to Boston everybody. You're watching The Cube, the leader in live tech coverage. And we're here with a special presentation in coverage of the LiveWorx show sponsored by PTC of Needham, soon to be of Boston. My name is Dave Vellante. I'm here with my co-host Stu Miniman. And Stu, this is quite a show. There's 6,000 people here. Jim Heppelmann this morning was up giving the keynote. PTC is a company that kind of hit the doldrums in the early 2000s. A company that as manufacturing moved offshore, its core business was CAD software for manufacturers, and it went through a pretty dramatic transformation that we're going to be talking about today. Well, fast forward 10 years, 12 years, 15 years on, this company is smokin, the stock's up 50 percent this year. They got a billion dollars plus in revenue. They're growing at 10 to 15 percent a year. They've shifted their software business from a perpetual software license to a recurring revenue model. And they're booming. And we're here at the original site of The Cube, as you remember well in 2010, the Boston Convention Center down at the seaport. And Stu, what are your initial impressions of LiveWorx? >> Yeah, it's great to be here, Dave. Good to be here with you and they dub this the largest digital transformation conference in the world. (laughing) So, I mean, Dave, you and I have been to much bigger conferences and we've been to a lot of conferences that are talking about digital transformation. But, IOT, AI, Augmented Reality, Block Chain, Robotics, all of these things really are about software, it's about digital transformation, and a really interesting space as you mentioned kind of the legacy of PTC. I have been around long enough. I remember when we used to call them Parametric Technologies. They kind of rebranded themselves as PTC. Windchill brings back some memories for me. When I worked for a high tech manufacturing company, it was that's the life cycle management tool that we used back in the early 2000s. So, I had a little bit of background in them. And, as you said, they're based in Needham, and they're moving to the Seaport. Hot area, especially, as we've said Dave, Boston has the opportunity to be the hub of IOT. And it's companies like PTC that are going to help bring those partnerships and lots of companies to an event like this. >> Well PTC has always been an inquisitive company, as you were pointing out to me off camera. They brought Prime Computer, Computer Vision. A number of acquisitions that they made back in the late 90s, which essentially didn't pan out the way they had hoped. But now again, fast forward to the modern era, Jim Heppelmann came in I think around 2010, exceeded ThingWorx, a company called Cold Light, Kept Ware is another company that they purchased. And took these really sort of independent software components and put them together and created a platform. Everybody talks about platform. We'll be talking about that a lot today, where the number of customers and partners of PTC. And we even have some folks from PTC on. But, basically, talking about digital transformation earlier, Stu, IOT is a huge tailwind for a company like PTC. But they had to really deliberately pivot to take advantage of this market. And if you think about it, yes, it's about connecting and instrumenting devices and machines, it's about reaching them, creating whatever wireless connections. But it's also about the data. We talk about that all the time. And constructing data that goes from edge to core, and even into the cloud, whether that cloud's on prem or in the data center. So you're seeing the transformation of this company. Obviously, I talked about some of the financials. We'll go into some of that. But an evolving ecosystem we heard Accenture's here, Infosys is here, Deloitte is here. As I like to say, the SI's like to eat at the trough. If the SI's are here, that means there's money here, right? >> Yeah Dave and actually a number that jumped out at me when Microsoft was up on stage, and it wasn't that Microsoft is investing five billion dollars in diode, the number that caught my ear was the 20 to 25 partners that it takes to deploy a single IOT solution. So, anybody that's been in tech for a long time, when you see these complicated stack solutions, the SIs need to be here. It takes a long time to work through them, and integration is a big challenge. How do I get all of these pieces together? It's not something that I just tit buy off the shelf. It's not shrink wrap software. This is complicated solution. It is very fragmented in how we make them up. Very specific to the industry that we're building, so really fascinating stuff that's going on. But we are still very early in the life-cycle of IOT. Huge, huge, huge opportunities but big players like Microsoft, like Google, like Amazon are going to be here making sure that they're going to simplify that environment over time. Huge, you know Dave, what's the original forecast I think we did at Wiki Bon, was a 1.2 trillion dollar opportunity, which most of that, that was actually for the industrial Internet, which is not the commercial things that we think about all the time, when we talk about the home sensors and some of the things, some of the consumer stuff, but also the industrial here. >> Well, I think a couple of key points that you're making here. First of all, the market is absolutely enormous. It's almost impossible to size. I mean you're talking about a trillion dollars in sort of spending on hardware, software, services, virtually everything. But to your point, Stu. It's highly highly fragmented, virtually every industry. And a lot of different segmented technologies. But it's also important to point out this is the mashing together of operations technology, OT with Information Technology, IT, and those four leading companies IT is actually leaning in and embracing this notion of edge, computing, and IOT. Now, I wouldn't even say that IT and OT are Hatfield and McCoy's. They're not. They're parts of the organization that don't talk to each other. So they are cultural differences. They use different languages. They think differently. One is largely engineers who make machines work. The other IT guys, which we obviously know what they do, they keep information technology systems running. They deploy a lot of new IT projects. So, really different worlds that have to start coming together. Jim Heppelmann today I thought did a really good job in his keynote. He talked about innovation. Usually you start with okay we're here at point A, we want to go here. We want to get to point B. And we're going to take a straight line and have a bunch of linear steps and milestones to get there. He pointed out that innovation today is really sort of a non-linear process. And he talked about the combinatorial effects of really three things. Machines, or the physical, computers and humans. Machines are strong, they can do heavy lifting. Computers are fast, and they can do repetitive tasks very accurately. And humans are creative. And he talked about innovation in this new world coming together by combining those three aspects, finding new ways to attack problems, to solve nature's challenges. And bringing nature into that problem solving. He gave a lot of examples of how mother nature mimicking mother nature is now possible with AI and other technologies. Pretty cool. >> Yeah, absolutely Dave. I'm sure we'll be talking a lot today about the fourth Industrial Revolution. A lot of discussion as to what jobs are Robots going to take. I look around the show floor here and there's a lot of cool robotics going on. But as Eric Manou said and Aaron McAfee, the folks from MIT that we've interviewed a couple of times talked about the second machine age. Really the marring of people and machines that are going to be powerful. And absolutely Jim Heppelmann talked about that a lot. It's humans, it's physical, and it's digital. Putting those together and then, the other thing that he talked about is we're talking a lot about voice lightly with all of these assistants, but, you're really limited as to how much input and how fast you can take information in from an auditory standpoint. I mean, I know that I listen to podcasts at 1.5 to 2 X to try to get more information in faster, but it is sight that we're going to get 80 percent of the information in, and therefore, it's the VR and AR that are huge opportunities. I know when I've been talking to some of the large manufacturers, what they used to have in written documentations and then they went digital with, they're now getting you inside to be able to configure the systems with the hollow lens, or some of the AR headsets, the VR headsets, to be able to play with that. So, we're really early but excited to see where this technology has come so far. >> Yeah, we're seeing a lot of practical applications of VR and AR. We go to a lot of these shows and they'll have the demos, and you go, okay, what will I do with this? Well, you're really seeing here at LiveWorx some of the things you actually can do. One good example I thought they did was BEA Systems up in Nashua, actually showing the folks that are doing the manufacturing, little tutorial in how to do that. We're going to see some surgical examples today. Remote surgery. There are thousands, literally thousands of examples. In the time we have remaining, I want to just do the rundown on PTC. Cause it really is quite an amazing transformation story. You're talking about a company with 1.1 billion dollars in revenue. Their aspiration is by 2021 to be a two billion dollar company. They're growing at ten percent a year, their software business has grown at 12 to 15 percent a year. 15 percent is that annual recurring revenue. So this is an example of a company that has successfully shifted from that perpetual model to that recurring model. They got 200 million dollars this year in free cash flow. Their stock, as I said, is up 50 percent this year. They got 350 million dollars in cash, but they just got a billion dollar investment from Rockwell Automation that took about 8.4 percent of the company given them an implied evaluation of almost 11 billion dollars, which has got a little uplift from the stock market there. They're selling a lot of seven figure deals. Really, the core is manufacturing product life-cycle management, CAD. That's the stuff that we know PTC well from. And I talked about some of those acquisitions that they made. They sell products like Creo, which is their 3D CAD software. I think they're on Rev five or six by now. So they've taken their sort of legacy software and sort of updated that for the digital world. >> Yep ,it is version five that they were just announced today. Talking about really the 3D effort they're doing there. Some partnerships around it, and like every other software Dave that we've been hearing about AI is getting infused in here because with so many devices and so much data, we really need the machines to help us process that and do things that humans can't keep up with. >> And the ecosystem's grown. This is a complicated marketplace. If you look at the Gartner Magic Quadrant, there is no leader, even though PTC is the leader. But there is no leader. They're all sort of in the lower right, PTC is up highest. GE is interestingly is not in there, because it doesn't have an on prem solution. I don't know why GE doesn't have an on prem solution. And I don't know why they're not in there. >> Is there another version of the magic quadrant that includes the Amazons and GEs of the world? >> I don't know. So that's kind of interesting. We'll try to unpack that as we go on here. PTC announced today a relationship with a company called Ansys, which does simulation software. Normally, simulation comes sort of after the design. They're bringing those two worlds together. The CAD design piece and the simulation piece, sort of closer to real time. So, there's a lot of stuff going on. As you said, it's data, analytics, edge computing. It's cloud, it's on prim, it's block chain for security. We haven't talked about security. A lot bigger threat metrix, so block chain comes into play. >> Yeah, Dave. I saw a great joke. Do you realize that the S in IOT stands for security? Did you know that? (laughing) Oh wait, there's no S in IOT. Well, that's the point. >> All right, good. So Stu and I will be here all day today. This is actually a three day conference. The Cube will only be there for day one. Keep right there everybody. And we'll be right back. You're watching The Cube, Live from Liveworx in Boston. (upbeat music)

[Music] [Music] [Music] [Music] [Music] [Music] that will be successful in the 21st century [Music] being open is really important because it comes with a lot of trust the open-source community now has matured so much and that contribution from the community is really driving innovation [Music] but what's really exciting is the change that we've seen in our teams not only the way they collaborate but the way they operate in the way they work [Music] I think idea is everything ideas can change the way you see things open-source is more than a license it's actually a way of operating [Music] ladies and gentlemen please welcome Red Hat president and chief executive officer Jim Whitehurst [Music] all right well welcome to day two at the Red Hat summit I'm amazed to see this many people here at 8:30 in the morning given the number of people I saw pretty late last night out and about so thank you for being here and have to give a shout out speaking of power participation that DJ is was Mike Walker who is our global director of open innovation labs so really enjoyed that this morning was great to have him doing that so hey so day one yesterday we had some phenomenal announcements both around Red Hat products and things that we're doing as well as some great partner announcements which we found exciting I hope they were interesting to you and I hope you had a chance to learn a little more about that and enjoy the breakout sessions that we had yesterday so yesterday was a lot about the what with these announcements and partnerships today I wanted to spin this morning talking a little bit more about the how right how do we actually survive and thrive in this digitally transformed world and to some extent the easy parts identifying the problem we all know that we have to be able to move more quickly we all know that we have to be able to react to change faster and we all know that we need to innovate more effectively all right so the problem is easy but how do you actually go about solving that right the problem is that's not a product that you can buy off the shelf right it is a capability that you have to build and certainly it's technology enabled but it's also depends on process culture a whole bunch of things to figure out how we actually do that and the answer is likely to be different in different organizations with different objective functions and different starting points right so this is a challenge that we all need to feel our way to an answer on and so I want to spend some time today talking about what we've seen in the market and how people are working to address that and it's one of the reasons that the summit this year the theme is ideas worth it lorring to take us back on a little history lesson so two years ago here at Moscone the theme of the summit was the power of participation and then I talked a lot about the power of groups of people working together and participating are able to solve problems much more quickly and much more effectively than individuals or even individual organizations working by themselves and some of the largest problems that we face in technology but more broadly in the world will ultimately only be solved if we effectively participate and work together then last year the theme of the summit was the impact of the individual and we took this concept of participation a bit further and we talked about how participation has to be active right it's a this isn't something where you can be passive that you can sit back you have to be involved because the problem in a more participative type community is that there is no road map right you can't sit back and wait for an edict on high or some central planning or some central authority to tell you what to do you have to take initiative you have to get involved right this is a active participation sport now one of the things that I talked about as part of that was that planning was dead and it was kind of a key my I think my keynote was actually titled planning is dead and the concept was that in a world that's less knowable when we're solving problems in a more organic bottom-up way our ability to effectively plan into the future it's much less than it was in the past and this idea that you're gonna be able to plan for success and then build to it it really is being replaced by a more bottom-up participative approach now aside from my whole strategic planning team kind of being up in arms saying what are you saying planning is dead I have multiple times had people say to me well I get that point but I still need to prepare for the future how do I prepare my organization for the future isn't that planning and so I wanted to spend a couple minutes talk a little more detail about what I meant by that but importantly taking our own advice we spent a lot of time this past year looking around at what our customers are doing because what a better place to learn then from large companies and small companies around the world information technology organizations having to work to solve these problems for their organizations and so our ability to learn from each other take the power of participation an individual initiative that people and organizations have taken there are just so many great learnings this year that I want to get a chance to share I also thought rather than listening to me do that that we could actually highlight some of the people who are doing this and so I do want to spend about five minutes kind of contextualizing what we're going to go through over the next hour or so and some of the lessons learned but then we want to share some real-world stories of how organizations are attacking some of these problems under this how do we be successful in a world of constant change in uncertainty so just going back a little bit more to last year talking about planning was dead when I said planning it's kind of a planning writ large and so that's if you think about the way traditional organizations work to solve problems and ultimately execute you start off planning so what's a position you want to get to in X years and whether that's a competitive strategy in a position of competitive advantage or a certain position you want an organizational function to reach you kind of lay out a plan to get there you then typically a senior leaders or a planning team prescribes the sets of activities and the organization structure and the other components required to get there and then ultimately execution is about driving compliance against that plan and you look at you say well that's all logical right we plan for something we then figure out how we're gonna get there we go execute to get there and you know in a traditional world that was easy and still some of this makes sense I don't say throw out all of this but you have to recognize in a more uncertain volatile world where you can be blindsided by orthogonal competitors coming in and you the term uber eyes you have to recognize that you can't always plan or know what the future is and so if you don't well then what replaces the traditional model or certainly how do you augment the traditional model to be successful in a world that you knows ambiguous well what we've heard from customers and what you'll see examples of this through the course of this morning planning is can be replaced by configuring so you can configure for a constant rate of change without necessarily having to know what that change is this idea of prescription of here's the activities people need to perform and let's lay these out very very crisply job descriptions what organizations are going to do can be replaced by a greater degree of enablement right so this idea of how do you enable people with the knowledge and things that they need to be able to make the right decisions and then ultimately this idea of execution as compliance can be replaced by a greater level of engagement of people across the organization to ultimately be able to react at a faster speed to the changes that happen so just double clicking in each of those for a couple minutes so what I mean by configure for constant change so again we don't know exactly what the change is going to be but we know it's going to happen and last year I talked a little bit about a process solution to that problem I called it that you have to try learn modify and what that model try learn modify was for anybody in the app dev space it was basically taking the principles of agile and DevOps and applying those more broadly to business processes in technology organizations and ultimately organizations broadly this idea of you don't have to know what your ultimate destination is but you can try and experiment you can learn from those things and you can move forward and so that I do think in technology organizations we've seen tremendous progress even over the last year as organizations are adopting agile endeavor and so that still continues to be I think a great way for people to to configure their processes for change but this year we've seen some great examples of organizations taking a different tack to that problem and that's literally building modularity into their structures themselves right actually building the idea that change is going to happen into how you're laying out your technology architectures right we've all seen the reverse of that when you build these optimized systems for you know kind of one environment you kind of flip over two years later what was the optimized system it's now called a legacy system that needs to be migrated that's an optimized system that now has to be moved to a new environment because the world has changed so again you'll see a great example of that in a few minutes here on stage next this concept of enabled double-clicking on that a little bit so much of what we've done in technology over the past few years has been around automation how do we actually replace things that people were doing with technology or augmenting what people are doing with technology and that's incredibly important and that's work that can continue to go forward it needs to happen it's not really what I'm talking about here though enablement in this case it's much more around how do you make sure individuals are getting the context they need how are you making sure that they're getting the information they need how are you making sure they're getting the tools they need to make decisions on the spot so it's less about automating what people are doing and more about how can you better enable people with tools and technology now from a leadership perspective that's around making sure people understand the strategy of the company the context in which they're working in making sure you've set the appropriate values etc etc from a technology perspective that's ensuring that you're building the right systems that allow the right information the right tools at the right time to the right people now to some extent even that might not be hard but when the world is constantly changing that gets to be even harder and I think that's one of the reasons we see a lot of traction and open source to solve these problems to use flexible systems to help enterprises be able to enable their people not just in it today but to be flexible going forward and again we'll see some great examples of that and finally engagement so again if execution can't be around driving compliance to a plan because you no longer have this kind of Cris plan well what do leaders do how do organizations operate and so you know I'll broadly use the term engagement several of our customers have used this term and this is really saying well how do you engage your people in real-time to make the right decisions how do you accelerate a pace of cadence how do you operate at a different speed so you can react to change and take advantage of opportunities as they arise and everywhere we look IT is a key enabler of this right in the past IT was often seen as an inhibitor to this because the IT systems move slower than the business might want to move but we are seeing with some of these new technologies that literally IT is becoming the enabler and driving the pace of change back on to the business and you'll again see some great examples of that as well so again rather than listen to me sit here and theoretically talk about these things or refer to what we've seen others doing I thought it'd be much more interesting to bring some of our partners and our customers up here to specifically talk about what they're doing so I'm really excited to have a great group of customers who have agreed to stand in front of 7,500 people or however many here this morning and talk a little bit more about what they're doing so really excited to have them here and really appreciate all them agreeing to be a part of this and so to start I want to start with tee systems we have the CEO of tee systems here and I think this is a great story because they're really two parts to it right because he has two perspectives one is as the CEO of a global company itself having to navigate its way through digital disruption and as a global cloud service provider obviously helping its customers through this same type of change so I'm really thrilled to have a del hasta li join me on stage to talk a little bit about T systems and what they're doing and what we're doing jointly together so Adelle [Music] Jim took to see you Adele thank you for being here you for having me please join me I love to DJ when that fantastic we may have to hire him no more events for events where's well employed he's well employed though here that team do not give him mics activation it's great to have you here really do appreciate it well you're the CEO of a large organization that's going through this disruption in the same way we are I'd love to hear a little bit how for your company you're thinking about you know navigating this change that we're going through great well you know key systems as an ICT service provider we've been around for decades I'm not different to many of our clients we had to change the whole disruption of the cloud and digitization and new skills and new capability and agility it's something we had to face as well so over the last five years and especially in the last three years we invested heavily invested over a billion euros in building new capabilities building new offerings new infrastructures to support our clients so to be very disruptive for us as well and so and then with your customers themselves they're going through this set of change and you're working to help them how are you working to help enable your your customers as they're going through this change well you know all of them you know in this journey of changing the way they run their business leveraging IT much more to drive business results digitization and they're all looking for new skills new ideas they're looking for platforms that take them away from traditional waterfall development that takes a year or a year and a half before they see any results to processes and ways of bringing applications in a week in a month etcetera so it's it's we are part of that journey with them helping them for that and speaking of that I know we're working together and to help our joint customers with that can you talk a little bit more about what we're doing together sure well you know our relationship goes back years and years with with the Enterprise Linux but over the last few years we've invested heavily in OpenShift and OpenStack to build peope as layers to build you know flexible infrastructure for our clients and we've been working with you we tested many different technology in the marketplace and been more successful with Red Hat and the stack there and I'll give you an applique an example several large European car manufacturers who have connected cars now as a given have been accelerating the applications that needed to be in the car and in the past it took them years if not you know scores to get an application into the car and today we're using open shift as the past layer to develop to enable these DevOps for these companies and they bring applications in less than a month and it's a huge change in the dynamics of the competitiveness in the marketplace and we rely on your team and in helping us drive that capability to our clients yeah do you find it fascinating so many of the stories that you hear and that we've talked about with with our customers is this need for speed and this ability to accelerate and enable a greater degree of innovation by simply accelerating what what we're seeing with our customers absolutely with that plus you know the speed is important agility is really critical but doing it securely doing it doing it in a way that is not gonna destabilize the you know the broader ecosystem is really critical and things like GDP are which is a new security standard in Europe is something that a lot of our customers worry about they need help with and we're one of the partners that know what that really is all about and how to navigate within that and use not prevent them from using the new technologies yeah I will say it isn't just the speed of the external but the security and the regulation especially GDR we have spent an hour on that with our board this week there you go he said well thank you so much for being here really to appreciate the work that we're doing together and look forward to continued same here thank you thank you [Applause] we've had a great partnership with tea systems over the years and we've really taken it to the next level and what's really exciting about that is you know we've moved beyond just helping kind of host systems for our customers we really are jointly enabling their success and it's really exciting and we're really excited about what we're able to to jointly accomplish so next i'm really excited that we have our innovation award winners here and we'll have on stage with us our innovation award winners this year our BBVA dnm IAG lasat Lufthansa Technik and UPS and yet they're all working in one for specific technology initiatives that they're doing that really really stand out and are really really exciting you'll have a chance to learn a lot more about those through the course of the event over the next couple of days but in this context what I found fascinating is they were each addressing a different point of this configure enable engage and I thought it would be really great for you all to hear about how they're experimenting and working to solve these problems you know real-time large organizations you know happening now let's start with the video to see what they think about when they think about innovation I define innovation is something that's changing the model changing the way of thinking not just a step change improvement not just making something better but actually taking a look at what already exists and then putting them together in new and exciting lives innovation is about to build something nobody has done before historically we had a statement that business drives technology we flip that equation around an IT is now demonstrating to the business at power of technology innovation desde el punto de vista de la tecnología supone salir de plataform as proprietary as ADA Madero cloud basado an open source it's a possibility the open source que no parameter no sir Kamala and I think way that for me open-source stands for flexibility speed security the community and that contribution from the community is really driving innovation innovation at a pace that I don't think our one individual organization could actually do ourselves right so first I'd like to talk with BBVA I love this story because as you know Financial Services is going through a massive set of transformations and BBVA really is at the leading edge of thinking about how to deploy a hybrid cloud strategy and kind of modular layered architecture to be successful regardless of what happens in the future so with that I'd like to welcome on stage Jose Maria Rosetta from BBVA [Music] thank you for being here and congratulations on your innovation award it's been a pleasure to be here with you it's great to have you hi everybody so Josemaria for those who might not be familiar with BBVA can you give us a little bit of background on your company yeah a brief description BBVA is is a bank as a financial institution with diversified business model and that provides well financial services to more than 73 million of customers in more than 20 countries great and I know we've worked with you for a long time so we appreciate that the partnership with you so I thought I'd start with a really easy question for you how will blockchain you know impact financial services in the next five years I've gotten no idea but if someone knows the answer I've got a job for him for him up a pretty good job indeed you know oh all right well let me go a little easier then so how will the global payments industry change in the next you know four or five years five years well I think you need a a Weezer well I tried to make my best prediction means that in five years just probably will be five years older good answer I like that I always abstract up I hope so I hope so yah-yah-yah hope so good point so you know immediately that's the obvious question you have a massive technology infrastructure is a global bank how do you prepare yourself to enable the organization to be successful when you really don't know what the future is gonna be well global banks and wealth BBBS a global gam Bank a certain component foundations you know today I would like to talk about risk and efficiency so World Bank's deal with risk with the market great the operational reputational risk and so on so risk control is part of all or DNA you know and when you've got millions of customers you know efficiency efficiency is a must so I think there's no problem with all these foundations they problem the problem analyze the problems appears when when banks translate these foundations is valued into technology so risk control or risk management avoid risk usually means by the most expensive proprietary technology in the market you know from one of the biggest software companies in the world you know so probably all of you there are so those people in the room were glad to hear you say that yeah probably my guess the name of those companies around San Francisco most of them and efficiency usually means a savory business unit as every department or country has his own specific needs by a specific solution for them so imagine yourself working in a data center full of silos with many different Hardware operating systems different languages and complex interfaces to communicate among them you know not always documented what really never documented so your life your life in is not easy you know in this scenario are well there's no room for innovation so what's been or or strategy be BES ready to move forward in this new digital world well we've chosen a different approach which is quite simple is to replace all local proprietary system by a global platform based on on open source with three main goals you know the first one is reduce the average transaction cost to one-third the second one is increase or developers productivity five times you know and the third is enable or delete the business be able to deliver solutions of three times faster so you're not quite easy Wow and everything with the same reliability as on security standards as we've got today Wow that is an extraordinary set of objectives and I will say their world on the path of making that successful which is just amazing yeah okay this is a long journey sometimes a tough journey you know to be honest so we decided to partnership with the with the best companies in there in the world and world record we think rate cut is one of these companies so we think or your values and your knowledge is critical for BBVA and well as I mentioned before our collaboration started some time ago you know and just an example in today in BBVA a Spain being one of the biggest banks in in the country you know and using red hat technology of course our firm and fronting architecture you know for mobile and internet channels runs the ninety five percent of our customers request this is approximately 3,000 requests per second and our back in architecture execute 70 millions of business transactions a day this is almost a 50% of total online transactions executed in the country so it's all running yes running I hope so you check for you came on stage it's I'll be flying you know okay good there's no wood up here to knock on it's been a really great partnership it's been a pleasure yeah thank you so much for being here thank you thank you [Applause] I do love that story because again so much of what we talk about when we when we talk about preparing for digital is a processed solution and again things like agile and DevOps and modular izing components of work but this idea of thinking about platforms broadly and how they can run anywhere and actually delivering it delivering at a scale it's just a phenomenal project and experience and in the progress they've made it's a great team so next up we have two organizations that have done an exceptional job of enabling their people with the right information and the tools they need to be successful you know in both of these cases these are organizations who are under constant change and so leveraging the power of open-source to help them build these tools to enable and you'll see it the size and the scale of these in two very very different contexts it's great to see and so I'd like to welcome on stage Oh smart alza' with dnm and David Abraham's with IAG [Music] Oh smart welcome thank you so much for being here Dave great to see you thank you appreciate you being here and congratulations to you both on winning the Innovation Awards thank you so Omar I really found your story fascinating and how you're able to enable your people with data which is just significantly accelerated the pace with which they can make decisions and accelerate your ability to to act could you tell us a little more about the project and then what you're doing Jim and Tina when the muchisimas gracias por ever say interesado pono true projecto [Music] encargado registry controller las entradas a leda's persona por la Frontera argentina yo sé de dos siento treinta siete puestos de contrôle tienen lo largo de la Frontera tanto area the restreamer it EEMA e if looool in dilute ammonia shame or cinta me Jonas the tránsito sacra he trod on in another Fronteras dingus idea idea de la Magneto la cual estamos hablando la Frontera cantina tienen extension the kin same in kilo metros esto es el gada mint a maje or allege Estancia kaeun a poor carretera a la co de mexico con el akka a direction emulation s 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calidad de vida de atras de mettre personas SI y meet our que el delito perform a trois Natura from Dana's Argentine sigue siendo en favor de esto SI temes uno de los países mess Alberto's Allah immigration en Latin America yah hora con una plataforma mas segunda first of all I want to thank you for the interest is played for our project the National migration administration or diem records the entry and exit of people on the Argentine territory it grants residents permits to foreigners who wish to live in our country through 237 entry points land air border sea and river ways Jim dnm registered over 80 million transits throughout last year Argentine borders cover about 15,000 kilometers just our just to give you an idea of the magnitude of our borders this is greater than the distance on a highway between Mexico City and Alaska our department applies the mechanisms that prevent the entry and residents of people involved in crimes like terrorism trafficking of persons weapons drugs and others in 2016 we shifted to a more preventive and predictive paradigm that is how Sam's the system for migration analysis was created with red hats great assistance and support this allowed us to tackle the challenge of integrating multiple and varied issues legal issues police databases national and international security organizations like Interpol API advanced passenger information and PNR passenger name record this involved starting private cloud with OpenShift Rev data virtualization cloud forms and fuse that were the basis to develop Sam and implementing machine learning models and artificial intelligence our analysts consulted a number of systems and other manual files before 2016 4 days for each person entering or leaving the country so this has allowed us to optimize our decisions making them in real time each time Sam is consulted it processes patterns of over two billion data entries Sam's aim is to improve the quality of life of our citizens and visitors making sure that crime doesn't pierce our borders in an environment of analytic evolution and constant improvement in essence Sam contributes toward Argentina being one of the leaders in Latin America in terms of immigration with our new system great thank you and and so Dave tell us a little more about the insurance industry and the challenges in the EU face yeah sure so you know in the insurance industry it's a it's been a bit sort of insulated from a lot of major change in disruption just purely from the fact that it's highly regulated and the cost of so that the barrier to entry is quite high in fact if you think about insurance you know you have to have capital reserves to protect against those major events like floods bush fires and so on but the whole thing is a lot of change there's come in a really rapid pace I'm also in the areas of customer expectations you know customers and now looking and expecting for the same levels of flexibility and convenience that they would experience with more modern and new startups they're expecting out of the older institutions like banks and insurance companies like us so definitely expecting the industry to to be a lot more adaptable and to better meet their needs I think the other aspect of it really is in the data the data area where I think that the donor is now creating a much more significant connection between organizations in a car summers especially when you think about the level of devices that are now enabled and the sheer growth of data that's that that's growing at exponential rates so so that the impact then is that the systems that we used to rely on are the technology we used to rely on to be able to handle that kind of growth no longer keeps up and is able to to you know build for the future so we need to sort of change that so what I G's really doing is transform transforming the organization to become a lot more efficient focus more on customers and and really set ourselves up to be agile and adaptive and so ya know as part of your Innovation Award that the specific set of projects you tied a huge amount of different disparate systems together and with M&A and other you have a lot to do there to you tell us a little more about kind of how you're able to better respond to customer needs by being able to do that yeah no you're right so we've we've we're nearly a hundred year old company that's grown from lots of merger and acquisition and just as a result of that that means that data's been sort of spread out and fragmented across multiple brands and multiple products and so the number one sort of issue and problem that we were hearing was that it was too hard to get access to data and it's highly complicated which is not great from a company from our perspective really because because we are a data company right that's what we do we we collect data about people what they what's important to them what they value and the environment in which they live so that we can understand that risk and better manage and protect those people so what we're doing is we're trying to make and what we have been doing is making data more open and accessible and and by that I mean making data more of easily available for people to use it to make decisions in their day-to-day activity and to do that what we've done is built a single data platform across the group that unifies the data into a single source of truth that we can then build on top of that single views of customers for example that puts the right information into the into the hands of the people that need it the most and so now why does open source play such a big part in doing that I know there are a lot of different solutions that could get you there sure well firstly I think I've been sauce has been k2 these and really it's been key because we've basically started started from scratch to build this this new next-generation data platform based on entirely open-source you know using great components like Kafka and Postgres and airflow and and and and and then fundamentally building on top of red Red Hat OpenStack right to power all that and they give us the flexibility that we need to be able to make things happen much faster for example we were just talking to the pivotal guys earlier this week here and some of the stuff that we're doing they're they're things quite interesting innovative writes even sort of maybe first in the world where we've taken the older sort of appliance and dedicated sort of massive parallel processing unit and ported that over onto red Red Hat OpenStack right which is now giving us a lot more flexibility for scale in a much more efficient way but you're right though that we've come from in the past a more traditional approach to to using vendor based technology right which was good back then when you know technology solutions could last for around 10 years or so on and and that was fine but now that we need to move much faster we've had to rethink that and and so our focus has been on using you know more commoditized open source technology built by communities to give us that adaptability and sort of remove the locking in there any entrenchment of technology so that's really helped us but but I think that the last point that's been really critical to us is is answering that that concern and question about ongoing support and maintenance right so you know in a regular environment the regulator is really concerned about anything that could fundamentally impact business operation and and so the question is always about what happens when something goes wrong who's going to be there to support you which is where the value of the the partnership we have with Red Hat has really come into its own right and what what it's done is is it's actually giving us the best of both worlds a means that we can we can leverage and use and and and you know take some of the technology that's being developed by great communities in the open source way but also partner with a trusted partner in red had to say you know they're going to stand behind that community and provide that support when we needed the most so that's been the kind of the real value out of that partnership okay well I appreciate I love the story it's how do you move quickly leverage the power community but do it in a safe secure way and I love the idea of your literally empowering people with machine learning and AI at the moment when they need it it's just an incredible story so thank you so much for being here appreciate it thank you [Applause] you know again you see in these the the importance of enabling people with data and in an old-world was so much data was created with a system in mind versus data is a separate asset that needs to be available real time to anyone is a theme we hear over and over and over again and so you know really looking at open source solutions that allow that flexibility and keep data from getting locked into proprietary silos you know is a theme that we've I've heard over and over over the past year with many of our customers so I love logistics I'm a geek that way I come from that background in the past and I know that running large complex operations requires flawless execution and that requires great data and we have two great examples today around how to engage own organizations in new and more effective ways in the case of lufthansa technik literally IT became the business so it wasn't enabling the business it became the business offering and importantly went from idea to delivery to customers in a hundred days and so this theme of speed and the importance of speed it's a it's a great story you'll hear more about and then also at UPS UPS again I talked a little earlier about IT used to be kind of the long pole in the tent the thing that was slow moving because of the technology but UPS is showing that IT can actually drive the business and the cadence of business even faster by demonstrating the power and potential of technology to engage in this case hundreds of thousands of people to make decisions real-time in the face of obviously constant change around weather mechanicals and all the different things that can happen in a large logistics operation like that so I'd like to welcome on stage to be us more from Lufthansa Technik and Nick Castillo from ups to be us welcome thank you for being here Nick thank you thank you Jim and congratulations on your Innovation Awards oh thank you it's a great honor so to be us let's start with you can you tell us a little bit more about what a viet are is yeah avatars are a digital platform offering features like aircraft condition analytics reliability management and predictive maintenance and it helps airlines worldwide to digitize and improve their operations so all of the features work and can be used separately or generate even more where you burn combined and finally we decided to set up a viet as an open platform that means that we avoid the whole aviation industry to join the community and develop ideas on our platform and to be as one of things i found really fascinating about this is that you had a mandate to do this at a hundred days and you ultimately delivered on it you tell us a little bit about that i mean nothing in aviation moves that fast yeah that's been a big challenge so in the beginning of our story the Lufthansa bot asked us to develop somehow digital to win of an aircraft within just hundred days and to deliver something of value within 100 days means you cannot spend much time and producing specifications in terms of paper etc so for us it was pretty clear that we should go for an angel approach and immediately start and developing ideas so we put the best experts we know just in one room and let them start to work and on day 2 I think we already had the first scribbles for the UI on day 5 we wrote the first lines of code and we were able to do that because it has been a major advantage for us to already have four technologies taken place it's based on open source and especially rated solutions because we did not have to waste any time setting up the infrastructure and since we wanted to get feedback very fast we were certainly visited an airline from the Lufthansa group already on day 30 and showed them the first results and got a lot of feedback and because from the very beginning customer centricity has been an important aspect for us and changing the direction based on customer feedback has become quite normal for us over time yeah it's an interesting story not only engaging the people internally but be able to engage with a with that with a launch customer like that and get feedback along the way as it's great thing how is it going overall since launch yeah since the launch last year in April we generated much interest in the industry as well from Airlines as from competitors and in the following month we focused on a few Airlines which had been open minded and already advanced in digital activities and we've got a lot of feedback by working with them and we're able to improve our products by developing new features for example we learned that data integration can become quite complex in the industry and therefore we developed a new feature called quick boarding allowing Airlines to integrate into the via table platform within one day using a self-service so and currently we're heading for the next steps beyond predictive maintenance working on process automation and prescriptive prescriptive maintenance because we believe prediction without fulfillment still isn't enough it really is a great example of even once you're out there quickly continuing to innovate change react it's great to see so Nick I mean we all know ups I'm still always blown away by the size and scale of the company and the logistics operations that you run you tell us a little more about the project and what we're doing together yeah sure Jim and you know first of all I think I didn't get the sportcoat memo I think I'm the first one up here today with a sport coat but you know first on you know on behalf of the 430,000 ups was around the world and our just world-class talented team of 5,000 IT professionals I have to tell you we're humbled to be one of this year's red hat Innovation Award recipients so we really appreciate that you know as a global logistics provider we deliver about 20 million packages each day and we've got a portfolio of technologies both operational and customer tech and another customer facing side the power what we call the UPS smart logistics network and I gotta tell you innovations in our DNA technology is at the core of everything we do you know from the ever familiar first and industry mobile platform that a lot of you see when you get delivered a package which we call the diad which believe it or not we delivered in 1992 my choice a data-driven solution that drives over 40 million of our my choice customers I'm whatever you know what this is great he loves logistics he's a my choice customer you could be one too by the way there's a free app in the App Store but it provides unmatched visibility and really controls that last mile delivery experience so now today we're gonna talk about the solution that we're recognized for which is called site which is part of a much greater platform that we call edge which is transforming how our package delivery teams operate providing them real-time insights into our operations you know this allows them to make decisions based on data from 32 disparate data sources and these insights help us to optimize our operations but more importantly they help us improve the delivery experience for our customers just like you Jim you know on the on the back end is Big Data and it's on a large scale our systems are crunching billions of events to render those insights on an easy-to-use mobile platform in real time I got to tell you placing that information in our operators hands makes ups agile and being agile being able to react to changing conditions as you know is the name of the game in logistics now we built edge in our private cloud where Red Hat technologies play a very important role as part of our overage overarching cloud strategy and our migration to agile and DevOps so it's it's amazing it's amazing the size and scale so so you have this technology vision around engaging people in a more effect way those are my word not yours but but I'd be at that's how it certainly feels and so tell us a little more about how that enables the hundreds of thousands people to make better decisions every day yep so you know we're a people company and the edge platform is really the latest in a series of solutions to really empower our people and really power that smart logistics network you know we've been deploying technology believe it or not since we founded the company in 1907 we'll be a hundred and eleven years old this August it's just a phenomenal story now prior to edge and specifically the syphon ishutin firm ation from a number of disparate systems and reports they then need to manually look across these various data sources and and frankly it was inefficient and prone to inaccuracy and it wasn't really real-time at all now edge consumes data as I mentioned earlier from 32 disparate systems it allows our operators to make decisions on staffing equipment the flow of packages through the buildings in real time the ability to give our people on the ground the most up-to-date data allows them to make informed decisions now that's incredibly empowering because not only are they influencing their local operations but frankly they're influencing the entire global network it's truly extraordinary and so why open source and open shift in particular as part of that solution yeah you know so as I mentioned Red Hat and Red Hat technology you know specifically open shift there's really core to our cloud strategy and to our DevOps strategy the tools and environments that we've partnered with Red Hat to put in place truly are foundational and they've fundamentally changed the way we develop and deploy our systems you know I heard Jose talk earlier you know we had complex solutions that used to take 12 to 18 months to develop and deliver to market today we deliver those same solutions same level of complexity in months and even weeks now openshift enables us to container raise our workloads that run in our private cloud during normal operating periods but as we scale our business during our holiday peak season which is a very sure window about five weeks during the year last year as a matter of fact we delivered seven hundred and sixty-two million packages in that small window and our transactions our systems they just spiked dramatically during that period we think that having open shift will allow us in those peak periods to seamlessly move workloads to the public cloud so we can take advantage of burst capacity economically when needed and I have to tell you having this flexibility I think is key because you know ultimately it's going to allow us to react quickly to customer demands when needed dial back capacity when we don't need that capacity and I have to say it's a really great story of UPS and red hat working you together it really is a great story is just amazing again the size and scope but both stories here a lot speed speed speed getting to market quickly being able to try things it's great lessons learned for all of us the importance of being able to operate at a fundamentally different clock speed so thank you all for being here very much appreciated congratulate thank you [Applause] [Music] alright so while it's great to hear from our Innovation Award winners and it should be no surprise that they're leading and experimenting in some really interesting areas its scale so I hope that you got a chance to learn something from these interviews you'll have an opportunity to learn more about them you'll also have an opportunity to vote on the innovator of the year you can do that on the Red Hat summit mobile app or on the Red Hat Innovation Awards homepage you can learn even more about their stories and you'll have a chance to vote and I'll be back tomorrow to announce the the summit winner so next I like to spend a few minutes on talking about how Red Hat is working to catalyze our customers efforts Marko bill Peter our senior vice president of customer experience and engagement and John Alessio our vice president of global services will both describe areas in how we are working to configure our own organization to effectively engage with our customers to use open source to help drive their success so with that I'd like to welcome marquel on stage [Music] good morning good morning thank you Jim so I want to spend a few minutes to talk about how we are configured how we are configured towards your success how we enable internally as well to work towards your success and actually engage as well you know Paul yesterday talked about the open source culture and our open source development net model you know there's a lot of attributes that we have like transparency meritocracy collaboration those are the key of our culture they made RedHat what it is today and what it will be in the future but we also added our passion for customer success to that let me tell you this is kind of the configuration from a cultural perspective let me tell you a little bit on what that means so if you heard the name my organization is customer experience and engagement right in the past we talked a lot about support it's an important part of the Red Hat right and how we are configured we are configured probably very uniquely in the industry we put support together we have product security in there we add a documentation we add a quality engineering into an organization you think there's like wow why are they doing it we're also running actually the IT team for actually the product teams why are we doing that now you can imagine right we want to go through what you see as well right and I'll give you a few examples on how what's coming out of this configuration we invest more and more in testing integration and use cases which you are applying so you can see it between the support team experiencing a lot what you do and actually changing our test structure that makes a lot of sense we are investing more and more testing outside the boundaries so not exactly how things must fall by product management or engineering but also how does it really run in an environment that you operate we run complex setups internally right taking openshift putting in OpenStack using software-defined storage underneath managing it with cloud forms managing it if inside we do that we want to see how that works right we are reshaping documentation console to kind of help you better instead of just documenting features and knobs as in how can how do you want to achieve things now part of this is the configuration that are the big part of the configuration is the voice of the customer to listen to what you say I've been here at Red Hat a few years and one of my passion has always been really hearing from customers how they do it I travel constantly in the world and meet with customers because I want to know what is really going on we use channels like support we use channels like getting from salespeople the interaction from customers we do surveys we do you know we interact with our people to really hear what you do what we also do what maybe not many know and it's also very unique in the industry we have a webpage called you asked reacted we show very transparently you told us this is an area for improvement and it's not just in support it's across the company right build us a better web store build us this we're very transparent about Hades improvements we want to do with you now if you want to be part of the process today go to the feedback zone on the next floor down and talk to my team I might be there as well hit me up we want to hear the feedback this is how we talk about configuration of the organization how we are configured let me go to let me go to another part which is innovation innovation every day and that in my opinion the enable section right we gotta constantly innovate ourselves how do we work with you how do we actually provide better value how do we provide faster responses in support this is what we would I say is is our you know commitment to innovation which is the enabling that Jim talked about and I give you a few examples which I'm really happy and it kind of shows the open source culture at Red Hat our commitment is for innovation I'll give you good example right if you have a few thousand engineers and you empower them you kind of set the business framework as hey this is an area we got to do something you get a lot of good IDs you get a lot of IDs and you got a shape an inter an area that hey this is really something that brings now a few years ago we kind of said or I say is like based on a lot of feedback is we got to get more and more proactive if you customers and so I shaped my team and and I shaped it around how can we be more proactive it started very simple as in like from kbase articles or knowledgebase articles in getting started guys then we started a a tool that we put out called labs you've probably seen them if you're on the technical side really taking small applications out for you to kind of validate is this configured correctly stat configure there was the start then out of that the ideas came and they took different turns and one of the turns that we came out was right at insights that we launched a few years ago and did you see the demo yesterday that in Paul's keynote that they showed how something was broken with one the data centers how it was applied to fix and how has changed this is how innovation really came from the ground up from the support side and turned into something really a being a cornerstone of our strategy and we're keeping it married from the day to day work right you don't want to separate this you want to actually keep that the data that's coming from the support goes in that because that's the power that we saw yesterday in the demo now innovation doesn't stop when you set the challenge so we did the labs we did the insights we just launched a solution engine called solution engine another thing that came out of that challenge is in how do we break complex issues down that it's easier for you to find a solution quicker it's one example but we're also experimenting with AI so insights uses AI as you probably heard yesterday we also use it internally to actually drive faster resolution we did in one case with a a our I bought basically that we get to 25% faster resolution on challenges that you have the beauty for you obviously it's well this is much faster 10% of all our support cases today are supported and assisted by an AI now I'll give you another example of just trying to tell you the innovation that comes out if you configure and enable the team correctly kbase articles are knowledgebase articles we q8 thousands and thousands every year and then I get feedback as and while they're good but they're in English as you can tell my English is perfect so it's not no issue for that but for many of you is maybe like even here even I read it in Japanese so we actually did machine translation because it's too many that we can do manually the using machine translation I can tell it's a funny example two weeks ago I tried it I tried something from English to German I looked at it the German looked really bad I went back but the English was bad so it really translates one to one actually what it does but it's really cool this is innovation that you can apply and the team actually worked on this and really proud on that now the real innovation there is not these tools the real innovation is that you can actually shape it in a way that the innovation comes that you empower the people that's the configure and enable and what I think is all it's important this don't reinvent the plumbing don't start from scratch use systems like containers on open shift to actually build the innovation in a smaller way without reinventing the plumbing you save a lot of issues on security a lot of issues on reinventing the wheel focus on that that's what we do as well if you want to hear more details again go in the second floor now let's talk about the engage that Jim mentioned before what I translate that engage is actually engaging you as a customer towards your success now what does commitment to success really mean and I want to reflect on that on a traditional IT company shows up with you talk the salesperson solution architect works with you consulting implements solution it comes over to support and trust me in a very traditional way the support guy has no clue what actually was sold early on it's what happens right and this is actually I think that red had better that we're not so silent we don't show our internal silos or internal organization that much today we engage in a way it doesn't matter from which team it comes we have a better flow than that you deserve how the sausage is made but we can never forget what was your business objective early on now how is Red Hat different in this and we are very strong in my opinion you might disagree but we are very strong in a virtual accounting right really putting you in the middle and actually having a solution architect work directly with support or consulting involved and driving that together you can also help us in actually really embracing that model if that's also other partners or system integrators integrate put yourself in the middle be around that's how we want to make sure that we don't lose sight of the original business problem trust me reducing the hierarchy or getting rid of hierarchy and bureaucracy goes a long way now this is how we configured this is how we engage and this is how we are committed to your success with that I'm going to introduce you to John Alessio that talks more about some of the innovation done with customers thank you [Music] good morning I'm John Alessio I'm the vice president of Global Services and I'm delighted to be with you here today I'd like to talk to you about a couple of things as it relates to what we've been doing since the last summit in the services organization at the core of everything we did it's very similar to what Marco talked to you about our number one priority is driving our customer success with red hat technology and as you see here on the screen we have a number of different offerings and capabilities all the way from training certification open innovation labs consulting really pairing those capabilities together with what you just heard from Marco in the support or cee organization really that's the journey you all go through from the beginning of discovering what your business challenge is all the way through designing those solutions and deploying them with red hat now the highlight like to highlight a few things of what we've been up to over the last year so if I start with the training and certification team they've been very busy over the last year really updating enhancing our curriculum if you haven't stopped by the booth there's a preview for new capability around our learning community which is a new way of learning and really driving that enable meant in the community because 70% of what you need to know you learned from your peers and so it's a very key part of our learning strategy and in fact we take customer satisfaction with our training and certification business very seriously we survey all of our students coming out of training 93% of our students tell us they're better prepared because of red hat training and certification after Weeds they've completed the course we've updated the courses and we've trained well over a hundred and fifty thousand people over the last two years so it's a very very key part of our strategy and that combined with innovation labs and the consulting operation really drive that overall journey now we've been equally busy in enhancing the system of enablement and support for our business partners another very very key initiative is building out the ecosystem we've enhanced our open platform which is online partner enablement network we've added new capability and in fact much of the training and enablement that we do for our internal consultants our deal is delivered through the open platform now what I'm really impressed with and thankful for our partners is how they are consuming and leveraging this material we train and enable for sales for pre-sales and for delivery and we're up over 70% year in year in our partners that are enabled on RedHat technology let's give our business partners a round of applause now one of our offerings Red Hat open innovation labs I'd like to talk a bit more about and take you through a case study open innovation labs was created two years ago it's really there to help you on your journey in adopting open source technology it's an immersive experience where your team will work side-by-side with Red Hatters to really propel your journey forward in adopting open source technology and in fact we've been very busy since the summit in Boston as you'll see coming up on the screen we've completed dozens of engagements leveraging our methods tools and processes for open innovation labs as you can see we've worked with large and small accounts in fact if you remember summit last year we had a European customer easier AG on stage which was a startup and we worked with them at the very beginning of their business to create capabilities in a very short four-week engagement but over the last year we've also worked with very large customers such as Optim and Delta Airlines here in North America as well as Motability operations in the European arena one of the accounts I want to spend a little bit more time on is Heritage Bank heritage Bank is a community owned bank in Toowoomba Australia their challenge was not just on creating new innovative technology but their challenge was also around cultural transformation how to get people to work together across the silos within their organization we worked with them at all levels of the organization to create a new capability the first engagement went so well that they asked us to come in into a second engagement so I'd like to do now is run a video with Peter lock the chief executive officer of Heritage Bank so he can take you through their experience Heritage Bank is one of the country's oldest financial institutions we have to be smarter we have to be more innovative we have to be more agile we had to change we had to find people to help us make that change the Red Hat lab is the only one that truly helps drive that change with a business problem the change within the team is very visible from the start to now we've gone from being separated to very single goal minded seeing people that I only ever seen before in their cubicles in the room made me smile programmers in their thinking I'm now understanding how the whole process fits together the productivity of IT will change and that is good for our business that's really the value that were looking for the Red Hat innovation labs for us were a really great experience I'm not interested in running an organization I'm interested in making a great organization to say I was pleasantly surprised by it is an understatement I was delighted I love the quote I was delighted makes my heart warm every time I see that video you know since we were at summit for those of you who are with us in Boston some of you went on our hardhat tours we've opened three physical facilities here at Red Hat where we can conduct red head open Innovation Lab engagements Singapore London and Boston were all opened within the last physical year and in fact our site in Boston is paired with our world-class executive briefing center as well so if you haven't been there please do check it out I'd like to now talk to you a bit about a very special engagement that we just recently completed we just recently completed an engagement with UNICEF the United Nations Children's Fund and the the purpose behind this engagement was really to help UNICEF create an open-source platform that marries big data with social good the idea is UNICEF needs to be better prepared to respond to emergency situations and as you can imagine emergency situations are by nature unpredictable you can't really plan for them they can happen anytime anywhere and so we worked with them on a project that we called school mapping and the idea was to provide more insights so that when emergency situations arise UNICEF could do a much better job in helping the children in the region and so we leveraged our Red Hat open innovation lab methods tools processes that you've heard about just like we did at Heritage Bank and the other accounts I mentioned but then we also leveraged Red Hat software technologies so we leveraged OpenShift container platform we leveraged ansible automation we helped the client with a more agile development approach so they could have releases much more frequently and continue to update this over time we created a continuous integration continuous deployment pipeline we worked on containers and container in the application etc with that we've been able to provide a platform that is going to allow for their growth to better respond to these emergency situations let's watch a short video on UNICEF mission of UNICEF innovation is to apply technology to the world's most pressing problems facing children data is changing the landscape of what we do at UNICEF this means that we can figure out what's happening now on the ground who it's happening to and actually respond to it in much more of a real-time manner than we used to be able to do we love working with open source communities because of their commitment that we should be doing good for the world we're actually with red hat building a sandbox where universities or other researchers or data scientists can connect and help us with our work if you want to use data for social good there's so many groups out there that really need your help and there's so many ways to get involved [Music] so let's give a very very warm red hat summit welcome to Erica kochi co-founder of unicef innovation well Erica first of all welcome to Red Hat summit thanks for having me here it's our pleasure and thank you for joining us so Erica I've just talked a bit about kind of what we've been up to and Red Hat services over the last year we talked a bit about our open innovation labs and we did this project the school mapping project together our two teams and I thought the audience might find it interesting from your point of view on why the approach we use in innovation labs was such a good fit for the school mapping project yeah it was a great fit for for two reasons the first is values everything that we do at UNICEF innovation we use open source technology and that's for a couple of reasons because we can take it from one place and very easily move it to other countries around the world we work in 190 countries so that's really important for us not to be able to scale things also because it makes sense we can get we can get more communities involved in this and look not just try to do everything by ourselves but look much open much more openly towards the open source communities out there to help us with our work we can't do it alone yeah and then the second thing is methodology you know the labs are really looking at taking this agile approach to prototyping things trying things failing trying again and that's really necessary when you're developing something new and trying to do something new like mapping every school in the world yeah very challenging work think about it 190 countries Wow and so the open source platform really works well and then the the rapid prototyping was really a good fit so I think the audience might find it interesting on how this application and this platform will help children in Latin America so in a lot of countries in Latin America and many countries throughout the world that UNICEF works in are coming out of either decades of conflict or are are subject to natural disasters and not great infrastructure so it's really important to a for us to know where schools are where communities are well where help is needed what's connected what's not and using a overlay of various sources of data from poverty mapping to satellite imagery to other sources we can really figure out what's happening where resources are where they aren't and so we can plan better to respond to emergencies and to and to really invest in areas that are needed that need that investment excellent excellent it's quite powerful what we were able to do in a relatively short eight or nine week engagement that our two teams did together now many of your colleagues in the audience are using open source today looking to expand their use of open source and I thought you might have some recommendations for them on how they kind of go through that journey and expanding their use of open source since your experience at that yeah for us it was it was very much based on what's this gonna cost we have limited resources and what's how is this gonna spread as quickly as possible mm-hmm and so we really asked ourselves those two questions you know about 10 years ago and what we realized is if we are going to be recommending technologies that governments are going to be using it really needs to be open source they need to have control over it yeah and they need to be working with communities not developing it themselves yeah excellent excellent so I got really inspired with what we were doing here in this project it's one of those you know every customer project is really interesting to me this one kind of pulls a little bit at your heartstrings on what the real impact could be here and so I know some of our colleagues here in the audience may want to get involved how can they get involved well there's many ways to get involved with the other UNICEF or other groups out there you can search for our work on github and there are tasks that you can do right now if and if you're looking for to do she's got work for you and if you want sort of a more a longer engagement or a bigger engagement you can check out our website UNICEF stories org and you can look at the areas you might be interested in and contact us we're always open to collaboration excellent well Erica thank you for being with us here today thank you for the great project we worked on together and have a great summer thank you for being give her a round of applause all right well I hope that's been helpful to you to give you a bit of an update on what we've been focused on in global services the message I'll leave with you is our top priority is customer success as you heard through the story from UNICEF from Heritage Bank and others we can help you innovate where you are today I hope you have a great summit and I'll call out Jim Whitehurst thank you John and thank you Erica that's really an inspiring story we have so many great examples of how individuals and organizations are stepping up to transform in the face of digital disruption I'd like to spend my last few minutes with one real-world example that brings a lot of this together and truly with life-saving impact how many times do you think you can solve a problem which is going to allow a clinician to now save the life I think the challenge all of his physicians are dealing with is data overload I probably look at over 100,000 images in a day and that's just gonna get worse what if it was possible for some computer program to look at these images with them and automatically flag images that might deserve better attention Chris on the surface seems pretty simple but underneath Chris has a lot going on in the past year I've seen Chris Foreman community and a space usually dominated by proprietary software I think Chris can change medicine as we know it today [Music] all right with that I'd like to invite on stage dr. Ellen grant from Boston Children's Hospital dr. grant welcome thank you for being here so dr. grant tell me who is Chris Chris does a lot of work for us and I think Chris is making me or has definitely the potential to make me a better doctor Chris helps us take data from our archives in the hospital and port it to wrap the fastback ends like the mass up and cloud to do rapid data processing and provide it back to me in any format on a desktop an iPad or an iPhone so it it basically brings high-end data analysis right to me at the bedside and that's been a barrier that I struggled with years ago to try to break down so that's where we started with Chris is to to break that barrier between research that occurred on a timeline of days to weeks to months to clinical practice which occurs in the timeline of seconds to minutes well one of things I found really fascinating about this story RedHat in case you can't tell we're really passionate about user driven innovation is this is an example of user driven innovation not directly at a technology company but in medicine excuse me can you tell us just a little bit about the genesis of Chris and how I got started yeah Chris got started when I was running a clinical division and I was very frustrated with not having the latest image analysis tools at my fingertips while I was on clinical practice and I would have to on the research so I could go over and you know do line code and do the data analysis but if I'm always over in clinical I kept forgetting how to do those things and I wanted to have all those innovations that my fingertips and not have to remember all the computer science because I'm a physician not like a better scientist so I wanted to build a platform that gave me easy access to that back-end without having to remember all the details and so that's what Chris does for us is brings allowed me to go into the PAC's grab a dataset send it to a computer and back in to do the analysis and bring it back to me without having to worry about where it was or how it got there that's all involved in the in the platform Chris and why not just go to a vendor and ask them to write a piece of software for you to do that yeah we thought about that and we do a lot of technical innovations and we always work with the experts so we wanted to work with if I'm going to be able to say an optical device I'm going to work with the optical engineers or an EM our system I'm going to work with em our engineers so we wanted to work with people who really knew or the plumbers so to speak of the software in industry so we ended up working with the massive point cloud for the platform and the distributed systems in Red Hat as the infrastructure that's starting to support Chris and that's been actually a really incredible journey for us because medical ready medical softwares not typically been a community process and that's something that working with dan from Red Hat we learned a lot about how to participate in an open community and I think our team has grown a lot as a result of that collaboration and I know you we've talked about in the past that getting this data locked into a proprietary system you may not be able to get out there's a real issue can you talk about the importance of open and how that's worked in the process yeah and I think for the medical community and I find this resonates with other physicians as well too is that it's medical data we want to continue to own and we feel very awkward about giving it to industry so we would rather have our data sitting in an open cloud like the mass open cloud where we can have a data consortium that oversees the data governance so that we're not giving our data way to somebody else but have a platform that we can still keep a control of our own data and I think it's going to be the future because we're running of a space in the hospital we generate so much data and it's just going to get worse as I was mentioning and all the systems run faster we get new devices so the amount of data that we have to filter through is just astronomically increasing so we need to have resources to store and compute on such large databases and so thinking about where this could go I mean this is a classic feels like an open-source project it started really really small with a originally modest set of goals and it's just kind of continue to grow and grow and grow it's a lot like if yes leanest torval Linux would be in 1995 you probably wouldn't think it would be where it is now so if you dream with me a little bit where do you think this could possibly go in the next five years ten years what I hope it'll do is allow us to break down the silos within the hospital because to do the best job at what we physicians do not only do we have to talk and collaborate together as individuals we have to take the data each each community develops and be able to bring it together so in other words I need to be able to bring in information from vital monitors from mr scans from optical devices from genetic tests electronic health record and be able to analyze on all that data combined so ideally this would be a platform that breaks down those information barriers in a hospital and also allows us to collaborate across multiple institutions because many disorders you only see a few in each hospital so we really have to work as teams in the medical community to combine our data together and also I'm hoping that and we even have discussions with people in the developing world because they have systems to generate or to got to create data or say for example an M R system they can't create data but they don't have the resources to analyze on it so this would be a portable for them to participate in this growing data analysis world without having to have the infrastructure there and be a portal into our back-end and we could provide the infrastructure to do the data analysis it really is truly amazing to see how it's just continued to grow and grow and expand it really is it's a phenomenal story thank you so much for being here appreciate it thank you [Applause] I really do love that story it's a great example of user driven innovation you know in a different industry than in technology and you know recognizing that a clinicians need for real-time information is very different than a researchers need you know in projects that can last weeks and months and so rather than trying to get an industry to pivot and change it's a great opportunity to use a user driven approach to directly meet those needs so we still have a long way to go we have two more days of the summit and as I said yesterday you know we're not here to give you all the answers we're here to convene the conversation so I hope you will have an opportunity today and tomorrow to meet some new people to share some ideas we're really really excited about what we can all do when we work together so I hope you found today valuable we still have a lot more happening on the main stage as well this afternoon please join us back for the general session it's a really amazing lineup you'll hear from the women and opensource Award winners you'll also hear more about our collab program which is really cool it's getting middle school girls interested in open sourcing coding and so you'll have an opportunity to see some people involved in that you'll also hear from the open source Story speakers and you'll including in that you will see a demo done by a technologist who happens to be 11 years old so really cool you don't want to miss that so I look forward to seeing you then this afternoon thank you [Applause]

[Music] [Music] [Music] [Laughter] [Laughter] [Laughter] [Laughter] [Music] [Music] [Music] [Music] you you [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Applause] [Music] wake up feeling blessed peace you warned that Russia ain't afraid to show it I'll expose it if I dressed up riding in that Chester roasted nigga catch you slippin on myself rocks on I messed up like yes sir [Music] [Music] [Music] [Music] our program [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] you are not welcome to Red Hat summit 2018 2018 [Music] [Music] [Music] [Laughter] [Music] Wow that is truly the coolest introduction I've ever had thank you Wow I don't think I feel cool enough to follow an interaction like that Wow well welcome to the Red Hat summit this is our 14th annual event and I have to say looking out over this audience Wow it's great to see so many people here joining us this is by far our largest summit to date not only did we blow through the numbers we've had in the past we blew through our own expectations this year so I know we have a pretty packed house and I know people are still coming in so it's great to see so many people here it's great to see so many familiar faces when I had a chance to walk around earlier it's great to see so many new people here joining us for the first time I think the record attendance is an indication that more and more enterprises around the world are seeing the power of open source to help them with their challenges that they're facing due to the digital transformation that all of enterprises around the world are going through the theme for the summit this year is ideas worth exploring and we intentionally chose that because as much as we are all going through this digital disruption and the challenges associated with it one thing I think is becoming clear no one person and certainly no one company has the answers to these challenges right this isn't a problem where you can go buy a solution this is a set of capabilities that we all need to build it's a set of cultural changes that we all need to go through and that's going to require the best ideas coming from so many different places so we're not here saying we have the answers we're trying to convene the conversation right we want to serve as a catalyst bringing great minds together to share ideas so we all walk out of here at the end of the week a little wiser than when we first came here we do have an amazing agenda for you we have over 7,000 attendees we may be pushing 8,000 by the time we got through this morning we have 36 keynote speakers and we have a hundred and twenty-five breakout sessions and have to throw in one plug scheduling 325 breakout sessions is actually pretty difficult and so we used the Red Hat business optimizer which is an AI constraint solver that's new in the Red Hat decision manager to help us plan the summit because we have individuals who have a clustered set of interests and we want to make sure that when we schedule two breakout sessions we do it in a way that we don't have overlapping sessions that are really important to the same individual so we tried to use this tool and what we understand about people's interest in history of what they wanted to do to try to make sure that we spaced out different times for things of similar interests for similar people as well as for people who stood in the back of breakouts before and I know I've done that too we've also used it to try to optimize room size so hopefully we will do our best to make sure that we've appropriately sized the spaces for those as well so it's really a phenomenal tool and I know it's helped us a lot this year in addition to the 325 breakouts we have a lot of our customers on stage during the main sessions and so you'll see demos you'll hear from partners you'll hear stories from so many of our customers not on our point of view of how to use these technologies but their point of views of how they actually are using these technologies to solve their problems and you'll hear over and over again from those keynotes that it's not just about the technology it's about how people are changing how people are working to innovate to solve those problems and while we're on the subject of people I'd like to take a moment to recognize the Red Hat certified professional of the year this is known award we do every year I love this award because it truly recognizes an individual for outstanding innovation for outstanding ideas for truly standing out in how they're able to help their organization with Red Hat technologies Red Hat certifications help system administrators application developers IT architects to further their careers and help their organizations by being able to advance their skills and knowledge of Red Hat products and this year's winner really truly is a great example about how their curiosity is helped push the limits of what's possible with technology let's hear a little more about this year's winner when I was studying at the University I had computer science as one of my subjects and that's what created the passion from the very beginning they were quite a few institutions around my University who were offering Red Hat Enterprise Linux as a course and a certification paths through to become an administrator Red Hat Learning subscription has offered me a lot more than any other trainings that have done so far that gave me exposure to so many products under red hair technologies that I wasn't even aware of I started to think about the better ways of how these learnings can be put into the real life use cases and we started off with a discussion with my manager saying I have to try this product and I really want to see how it really fits in our environment and that product was Red Hat virtualization we went from deploying rave and then OpenStack and then the open shift environment we wanted to overcome some of the things that we saw as challenges to the speed and rapidity of release and code etc so it made perfect sense and we were able to do it in a really short space of time so you know we truly did use it as an Innovation Lab I think idea is everything ideas can change the way you see things an Innovation Lab was such an idea that popped into my mind one fine day and it has transformed the way we think as a team and it's given that playpen to pretty much everyone to go and test their things investigate evaluate do whatever they like in a non-critical non production environment I recruited Neha almost 10 years ago now I could see there was a spark a potential with it and you know she had a real Drive a real passion and you know here we are nearly ten years later I'm Neha Sandow I am a Red Hat certified engineer all right well everyone please walk into the states to the stage Neha [Music] [Applause] congratulations thank you [Applause] I think that - well welcome to the red has some of this is your first summit yes it is thanks so much well fantastic sure well it's great to have you here I hope you have a chance to engage and share some of your ideas and enjoy the week thank you thank you congratulations [Applause] neha mentioned that she first got interest in open source at university and it made me think red hats recently started our Red Hat Academy program that looks to programmatically infuse Red Hat technologies in universities around the world it's exploded in a way we had no idea it's grown just incredibly rapidly which i think shows the interest that there really is an open source and working in an open way at university so it's really a phenomenal program I'm also excited to announce that we're launching our newest open source story this year at Summit it's called the science of collective discovery and it looks at what happens when communities use open hardware to monitor the environment around them and really how they can make impactful change based on that technologies the rural premier that will be at 5:15 on Wednesday at McMaster Oni West and so please join us for a drink and we'll also have a number of the experts featured in that and you can have a conversation with them as well so with that let's officially start the show please welcome red hat president of products and technology Paul Cormier [Music] Wow morning you know I say it every year I'm gonna say it again I know I repeat myself it's just amazing we are so proud here to be here today too while you all week on how far we've come with opens with open source and with the products that we that we provide at Red Hat so so welcome and I hope the pride shows through so you know I told you Seven Summits ago on this stage that the future would be open and here we are just seven years later this is the 14th summit but just seven years later after that and much has happened and I think you'll see today and this week that that prediction that the world would be open was a pretty safe predict prediction but I want to take you just back a little bit to see how we started here and it's not just how Red Hat started here this is an open source in Linux based computing is now in an industry norm and I think that's what you'll you'll see in here this week you know we talked back then seven years ago when we put on our prediction about the UNIX error and how Hardware innovation with x86 was it was really the first step in a new era of open innovation you know companies like Sun Deck IBM and HP they really changed the world the computing industry with their UNIX models it was that was really the rise of computing but I think what we we really saw then was that single company innovation could only scale so far could really get so far with that these companies were very very innovative but they coupled hardware innovation with software innovation and as one company they could only solve so many problems and even which comp which even complicated things more they could only hire so many people in each of their companies Intel came on the scene back then as the new independent hardware player and you know that was really the beginning of the drive for horizontal computing power and computing this opened up a brand new vehicle for hardware innovation a new hardware ecosystem was built around this around this common hardware base shortly after that Stallman and leanness they had a vision of his of an open model that was created and they created Linux but it was built around Intel this was really the beginning of having a software based platform that could also drive innovation this kind of was the beginning of the changing of the world here that system-level innovation now having a hardware platform that was ubiquitous and a software platform that was open and ubiquitous it really changed this system level innovation and that continues to thrive today it was only possible because it was open this could not have happened in a closed environment it allowed the best ideas from anywhere from all over to come in in win only because it was the best idea that's what drove the rate of innovation at the pace you're seeing today and it which has never been seen before we at Red Hat we saw the need to bring this innovation to solve real-world problems in the enterprise and I think that's going to be the theme of the show today you're going to see us with our customers and partners talking about and showing you some of those real-world problems that we are sought solving with this open innovation we created rel back then for this for the enterprise it started it's it it wasn't successful because it's scaled it was secure and it was enterprise ready it once again changed the industry but this time through open innovation this gave the hardware ecosystem a software platform this open software platform gave the hardware ecosystem a software platform to build around it Unleashed them the hardware side to compete and thrive it enabled innovation from the OEMs new players building cheaper faster servers even new architectures from armed to power sprung up with this change we have seen an incredible amount of hardware innovation over the last 15 years that same innovation happened on the software side we saw powerful implementations of bare metal Linux distributions out in the market in fact at one point there were 300 there are over 300 distributions out in the market on the foundation of Linux powerful open-source equivalents were even developed in every area of Technology databases middleware messaging containers anything you could imagine innovation just exploded around the Linux platform in innovation it's at the core also drove virtualization both Linux and virtualization led to another area of innovation which you're hearing a lot about now public cloud innovation this innovation started to proceed at a rate that we had never seen before we had never experienced this in the past in this unprecedented speed of innovation and software was now possible because you didn't need a chip foundry in order to innovate you just needed great ideas in the open platform that was out there customers seeing this innovation in the public cloud sparked it sparked their desire to build their own linux based cloud platforms and customers are now are now bringing that cloud efficiency on-premise in their own data centers public clouds demonstrated so much efficiency the data centers and architects wanted to take advantage of it off premise on premise I'm sorry within their own we don't within their own controlled environments this really allowed companies to make the most of existing investments from data centers to hardware they also gained many new advantages from data sovereignty to new flexible agile approaches I want to bring Burr and his team up here to take a look at what building out an on-premise cloud can look like today Bure take it away I am super excited to be with all of you here at Red Hat summit I know we have some amazing things to show you throughout the week but before we dive into this demonstration I want you to take just a few seconds just a quick moment to think about that really important event your life that moment you turned on your first computer maybe it was a trs-80 listen Claire and Atari I even had an 83 b2 at one point but in my specific case I was sitting in a classroom in Hawaii and I could see all the way from Diamond Head to Pearl Harbor so just keep that in mind and I turn on an IBM PC with dual floppies I don't remember issuing my first commands writing my first level of code and I was totally hooked it was like a magical moment and I've been hooked on computers for the last 30 years so I want you to hold that image in your mind for just a moment just a second while we show you the computers we have here on stage let me turn this over to Jay fair and Dini here's our worldwide DevOps manager and he was going to show us his hardware what do you got Jay thank you BER good morning everyone and welcome to Red Hat summit we have so many cool things to show you this week I am so happy to be here and you know my favorite thing about red hat summit is our allowed to kind of share all of our stories much like bird just did we also love to you know talk about the hardware and the technology that we brought with us in fact it's become a bit of a competition so this year we said you know let's win this thing and we actually I think we might have won we brought a cloud with us so right now this is a private cloud for throughout the course of the week we're going to turn this into a very very interesting open hybrid cloud right before your eyes so everything you see here will be real and happening right on this thing right behind me here so thanks for our four incredible partners IBM Dell HP and super micro we've built a very vendor heterogeneous cloud here extra special thanks to IBM because they loaned us a power nine machine so now we actually have multiple architectures in this cloud so as you know one of the greatest benefits to running Red Hat technology is that we run on just about everything and you know I can't stress enough how powerful that is how cost-effective that is and it just makes my life easier to be honest so if you're interested the people that built this actual rack right here gonna be hanging out in the customer success zone this whole week it's on the second floor the lobby there and they'd be glad to show you exactly how they built this thing so let me show you what we actually have in this rack so contained in this rack we have 1056 physical chorus right here we have five and a half terabytes of RAM and just in case we threw 50 terabytes of storage in this thing so burr that's about two million times more powerful than that first machine you boot it up thanks to a PC we're actually capable of putting all the power needs and cooling right in this rack so there's your data center right there you know it occurred to me last night that I can actually pull the power cord on this thing and kick it up a notch we could have the world's first mobile portable hybrid cloud so I'm gonna go ahead and unplug no no no no no seriously it's not unplug the thing we got it working now well Berg gets a little nervous but next year we're rolling this thing around okay okay so to recap multiple vendors check multiple architectures check multiple public clouds plug right into this thing check and everything everywhere is running the same software from Red Hat so that is a giant check so burn Angus why don't we get the demos rolling awesome so we have totally we have some amazing hardware amazing computers on this stage but now we need to light it up and we have Angus Thomas who represents our OpenStack engineering team and he's going to show us what we can do with this awesome hardware Angus thank you Beth so this was an impressive rack of hardware to Joe has bought a pocket stage what I want to talk about today is putting it to work with OpenStack platform director we're going to turn it from a lot of potential into a flexible scalable private cloud we've been using director for a while now to take care of managing hardware and orchestrating the deployment of OpenStack what's new is that we're bringing the same capabilities for on-premise manager the deployment of OpenShift director deploying OpenShift in this way is the best of both worlds it's bare-metal performance but with an underlying infrastructure as a service that can take care of deploying in new instances and scaling out and a lot of the things that we expect from a cloud provider director is running on a virtual machine on Red Hat virtualization at the top of the rack and it's going to bring everything else under control what you can see on the screen right now is the director UI and as you see some of the hardware in the rack is already being managed at the top level we have information about the number of cores in the amount of RAM and the disks that each machine have if we dig in a bit there's information about MAC addresses and IPs and the management interface the BIOS kernel version dig a little deeper and there is information about the hard disks all of this is important because we want to be able to make sure that we put in workloads exactly where we want them Jay could you please power on the two new machines at the top of the rack sure all right thank you so when those two machines come up on the network director is going to see them see that they're new and not already under management and is it immediately going to go into the hardware inspection that populates this database and gets them ready for use so we also have profiles as you can see here profiles are the way that we match the hardware in a machine to the kind of workload that it's suited to this is how we make sure that machines that have all the discs run Seth and machines that have all the RAM when our application workouts for example there's two ways these can be set when you're dealing with a rack like this you could go in an individually tag each machine but director scales up to data centers so we have a rules matching engine which will automatically take the hardware profile of a new machine and make sure it gets tagged in exactly the right way so we can automatically discover new machines on the network and we can automatically match them to a profile that's how we streamline and scale up operations now I want to talk about deploying the software we have a set of validations we've learned over time about the Miss configurations in the underlying infrastructure which can cause the deployment of a multi node distributed application like OpenStack or OpenShift to fail if you have the wrong VLAN tags on a switch port or DHCP isn't running where it should be for example you can get into a situation which is really hard to debug a lot of our validations actually run before the deployment they look at what you're intending to deploy and they check in the environment is the way that it should be and they'll preempts problems and obviously preemption is a lot better than debugging something new that you probably have not seen before is director managing multiple deployments of different things side by side before we came out on stage we also deployed OpenStack on this rack just to keep me honest let me jump over to OpenStack very quickly a lot of our opens that customers will be familiar with this UI and the bare metal deployment of OpenStack on our rack is actually running a set of virtual machines which is running Gluster you're going to see that put to work later on during the summit Jay's gone to an awful lot effort to get this Hardware up on the stage so we're going to use it as many different ways as we can okay let's deploy OpenShift if I switch over to the deployed a deployment plan view there's a few steps first thing you need to do is make sure we have the hardware I already talked about how director manages hardware it's smart enough to make sure that it's not going to attempt to deploy into machines they're already in use it's only going to deploy on machines that have the right profile but I think with the rack that we have here we've got enough next thing is the deployment configuration this is where you get to customize exactly what's going to be deployed to make sure that it really matches your environment if they're external IPs for additional services you can set them here whatever it takes to make sure that the deployment is going to work for you as you can see on the screen we have a set of options around enable TLS for encryption network traffic if I dig a little deeper there are options around enabling ipv6 and network isolation so that different classes of traffic there are over different physical NICs okay then then we have roles now roles this is essentially about the software that's going to be put on each machine director comes with a set of roles for a lot of the software that RedHat supports and you can just use those or you can modify them a little bit if you need to add a monitoring agent or whatever it might be or you can create your own custom roles director has quite a rich syntax for custom role definition and custom Network topologies whatever it is you need in order to make it work in your environment so the rawls that we have right now are going to give us a working instance of openshift if I go ahead and click through the validations are all looking green so right now I can click the button start to the deploy and you will see things lighting up on the rack directors going to use IPMI to reboot the machines provisioned and with a trail image was the containers on them and start up the application stack okay so one last thing once the deployment is done you're going to want to keep director around director has a lot of capabilities around what we call de to operational management bringing in new Hardware scaling out deployments dealing with updates and critically doing upgrades as well so having said all of that it is time for me to switch over to an instance of openshift deployed by a director running on bare metal on our rack and I need to hand this over to our developer team so they can show what they can do it thank you that is so awesome Angus so what you've seen now is going from bare metal to the ultimate private cloud with OpenStack director make an open shift ready for our developers to build their next generation applications thank you so much guys that was totally awesome I love what you guys showed there now I have the honor now I have the honor of introducing a very special guest one of our earliest OpenShift customers who understands the necessity of the private cloud inside their organization and more importantly they're fundamentally redefining their industry please extend a warm welcome to deep mar Foster from Amadeus well good morning everyone a big thank you for having armadillos here and myself so as it was just set I'm at Mario's well first of all we are a large IT provider in the travel industry so serving essentially Airlines hotel chains this distributors like Expedia and others we indeed we started very early what was OpenShift like a bit more than three years ago and we jumped on it when when Retta teamed with Google to bring in kubernetes into this so let me quickly share a few figures about our Mario's to give you like a sense of what we are doing and the scale of our operations so some of our key KPIs one of our key metrics is what what we call passenger borders so that's the number of customers that physically board a plane over the year so through our systems it's roughly 1.6 billion people checking in taking the aircrafts on under the Amarillo systems close to 600 million travel agency bookings virtually all airlines are on the system and one figure I want to stress out a little bit is this one trillion availability requests per day that's when I read this figure my mind boggles a little bit so this means in continuous throughput more than 10 million hits per second so of course these are not traditional database transactions it's it's it's highly cached in memory and these applications are running over like more than 100,000 course so it's it's it's really big stuff so today I want to give some concrete feedback what we are doing so I have chosen two applications products of our Mario's that are currently running on production in different in different hosting environments as the theme here is of this talk hybrid cloud and so I want to give some some concrete feedback of how we architect the applications and of course it stays relatively high level so here I have taken one of our applications that is used in the hospitality environment so it's we have built this for a very large US hotel chain and it's currently in in full swing brought into production so like 30 percent of the globe or 5,000 plus hotels are on this platform not so here you can see that we use as the path of course on openshift on that's that's the most central piece of our hybrid cloud strategy on the database side we use Oracle and Couchbase Couchbase is used for the heavy duty fast access more key value store but also to replicate data across two data centers in this case it's running over to US based data centers east and west coast topology that are fit so run by Mario's that are fit with VMware on for the virtualization OpenStack on top of it and then open shift to host and welcome the applications on the right hand side you you see the kind of tools if you want to call them tools that we use these are the principal ones of course the real picture is much more complex but in essence we use terraform to map to the api's of the underlying infrastructure so they are obviously there are differences when you run on OpenStack or the Google compute engine or AWS Azure so some some tweaking is needed we use right at ansible a lot we also use puppet so you can see these are really the big the big pieces of of this sense installation and if we look to the to the topology again very high high level so these two locations basically map the data centers of our customers so they are in close proximity because the response time and the SLA is of this application is are very tight so that's an example of an application that is architectures mostly was high ability and high availability in minds not necessarily full global worldwide scaling but of course it could be scaled but here the idea is that we can swing from one data center to the unit to the other in matters of of minutes both take traffic data is fully synchronized across those data centers and while the switch back and forth is very fast the second example I have taken is what we call the shopping box this is when people go to kayak or Expedia and they're getting inspired where they want to travel to this is really the piece that shoots most of transit of the transactions into our Mario's so we architect here more for high scalability of course availability is also a key but here scaling and geographical spread is very important so in short it runs partially on-premise in our Amarillo Stata Center again on OpenStack and we we deploy it mostly in the first step on the Google compute engine and currently as we speak on Amazon on AWS and we work also together with Retta to qualify the whole show on Microsoft Azure here in this application it's it's the same building blocks there is a large swimming aspect to it so we bring Kafka into this working with records and another partner to bring Kafka on their open shift because at the end we want to use open shift to administrate the whole show so over time also databases and the topology here when you look to the physical deployment topology while it's very classical we use the the regions and the availability zone concept so this application is spread over three principal continental regions and so it's again it's a high-level view with different availability zones and in each of those availability zones we take a hit of several 10,000 transactions so that was it really in very short just to give you a glimpse on how we implement hybrid clouds I think that's the way forward it gives us a lot of freedom and it allows us to to discuss in a much more educated way with our customers that sometimes have already deals in place with one cloud provider or another so for us it's a lot of value to set two to leave them the choice basically what up that was a very quick overview of what we are doing we were together with records are based on open shift essentially here and more and more OpenStack coming into the picture hope you found this interesting thanks a lot and have a nice summer [Applause] thank you so much deeper great great solution we've worked with deep Marv and his team for a long for a long time great solution so I want to take us back a little bit I want to circle back I sort of ended talking a little bit about the public cloud so let's circle back there you know even so even though some applications need to run in various footprints on premise there's still great gains to be had that for running certain applications in the public cloud a public cloud will be as impactful to to the industry as as UNIX era was of computing was but by itself it'll have some of the same limitations and challenges that that model had today there's tremendous cloud innovation happening in the public cloud it's being driven by a handful of massive companies and much like the innovation that sundeck HP and others drove in a you in the UNIX era of community of computing many customers want to take advantage of the best innovation no matter where it comes from buddy but as they even eventually saw in the UNIX era they can't afford the best innovation at the cost of a siloed operating environment with the open community we are building a hybrid application platform that can give you access to the best innovation no matter which vendor or which cloud that it comes from letting public cloud providers innovate and services beyond what customers or anyone can one provider can do on their own such as large scale learning machine learning or artificial intelligence built on the data that's unique probably to that to that one cloud but consumed in a common way for the end customer across all applications in any environment on any footprint in in their overall IT infrastructure this is exactly what rel brought brought to our customers in the UNIX era of computing that consistency across any of those footprints obviously enterprises will have applications for all different uses some will live on premise some in the cloud hybrid cloud is the only practical way forward I think you've been hearing that from us for a long time it is the only practical way forward and it'll be as impactful as anything we've ever seen before I want to bring Byrne his team back to see a hybrid cloud deployment in action burr [Music] all right earlier you saw what we did with taking bare metal and lighting it up with OpenStack director and making it openshift ready for developers to build their next generation applications now we want to show you when those next turn and generation applications and what we've done is we take an open shift and spread it out and installed it across Asia and Amazon a true hybrid cloud so with me on stage today as Ted who's gonna walk us through an application and Brent Midwood who's our DevOps engineer who's gonna be making sure he's monitoring on the backside that we do make sure we do a good job so at this point Ted what have you got for us Thank You BER and good morning everybody this morning we are running on the stage in our private cloud an application that's providing its providing fraud detection detect serves for financial transactions and our customer base is rather large and we occasionally take extended bursts of traffic of heavy traffic load so in order to keep our latency down and keep our customers happy we've deployed extra service capacity in the public cloud so we have capacity with Microsoft Azure in Texas and with Amazon Web Services in Ohio so we use open chip container platform on all three locations because openshift makes it easy for us to deploy our containerized services wherever we want to put them but the question still remains how do we establish seamless communication across our entire enterprise and more importantly how do we balance the workload across these three locations in such a way that we efficiently use our resources and that we give our customers the best possible experience so this is where Red Hat amq interconnect comes in as you can see we've deployed a MQ interconnect alongside our fraud detection applications in all three locations and if I switch to the MQ console we'll see the topology of the app of the network that we've created here so the router inside the on stage here has made connections outbound to the public routers and AWS and Azure these connections are secured using mutual TLS authentication and encrypt and once these connections are established amq figures out the best way auda matically to route traffic to where it needs to get to so what we have right now is a distributed reliable broker list message bus that expands our entire enterprise now if you want to learn more about this make sure that you catch the a MQ breakout tomorrow at 11:45 with Jack Britton and David Ingham let's have a look at the message flow and we'll dive in and isolate the fraud detection API that we're interested in and what we see is that all the traffic is being handled in the private cloud that's what we expect because our latencies are low and they're acceptable but now if we take a little bit of a burst of increased traffic we're gonna see that an EQ is going to push a little a bi traffic out onto the out to the public cloud so as you're picking up some of the load now to keep the Layton sees down now when that subsides as your finishes up what it's doing and goes back offline now if we take a much bigger load increase you'll see two things first of all asher is going to take a bigger proportion than it did before and Amazon Web Services is going to get thrown into the fray as well now AWS is actually doing less work than I expected it to do I expected a little bit of bigger a slice there but this is a interesting illustration of what's going on for load balancing mq load balancing is sending requests to the services that have the lowest backlog and in order to keep the Layton sees as steady as possible so AWS is probably running slowly for some reason and that's causing a and Q to push less traffic its way now the other thing you're going to notice if you look carefully this graph fluctuate slightly and those fluctuations are caused by all the variances in the network we have the cloud on stage and we have clouds in in the various places across the country there's a lot of equipment locked layers of virtualization and networking in between and we're reacting in real-time to the reality on the digital street so BER what's the story with a to be less I noticed there's a problem right here right now we seem to have a little bit performance issue so guys I noticed that as well and a little bit ago I actually got an alert from red ahead of insights letting us know that there might be some potential optimizations we could make to our environment so let's take a look at insights so here's the Red Hat insights interface you can see our three OpenShift deployments so we have the set up here on stage in San Francisco we have our Azure deployment in Texas and we also have our AWS deployment in Ohio and insights is highlighting that that deployment in Ohio may have some issues that need some attention so Red Hat insights collects anonymized data from manage systems across our customer environment and that gives us visibility into things like vulnerabilities compliance configuration assessment and of course Red Hat subscription consumption all of this is presented in a SAS offering so it's really really easy to use it requires minimal infrastructure upfront and it provides an immediate return on investment what insights is showing us here is that we have some potential issues on the configuration side that may need some attention from this view I actually get a look at all the systems in our inventory including instances and containers and you can see here on the left that insights is highlighting one of those instances as needing some potential attention it might be a candidate for optimization this might be related to the issues that you were seeing just a minute ago insights uses machine learning and AI techniques to analyze all collected data so we combine collected data from not only the system's configuration but also with other systems from across the Red Hat customer base this allows us to compare ourselves to how we're doing across the entire set of industries including our own vertical in this case the financial services industry and we can compare ourselves to other customers we also get access to tailored recommendations that let us know what we can do to optimize our systems so in this particular case we're actually detecting an issue here where we are an outlier so our configuration has been compared to other configurations across the customer base and in this particular instance in this security group were misconfigured and so insights actually gives us the steps that we need to use to remediate the situation and the really neat thing here is that we actually get access to a custom ansible playbook so if we want to automate that type of a remediation we can use this inside of Red Hat ansible tower Red Hat satellite Red Hat cloud forms it's really really powerful the other thing here is that we can actually apply these recommendations right from within the Red Hat insights interface so with just a few clicks I can select all the recommendations that insights is making and using that built-in ansible automation I can apply those recommendations really really quickly across a variety of systems this type of intelligent automation is really cool it's really fast and powerful so really quickly here we're going to see the impact of those changes and so we can tell that we're doing a little better than we were a few minutes ago when compared across the customer base as well as within the financial industry and if we go back and look at the map we should see that our AWS employment in Ohio is in a much better state than it was just a few minutes ago so I'm wondering Ted if this had any effect and might be helping with some of the issues that you were seeing let's take a look looks like went green now let's see what it looks like over here yeah doesn't look like the configuration is taking effect quite yet maybe there's some delay awesome fantastic the man yeah so now we're load balancing across the three clouds very much fantastic well I have two minute Ted I truly love how we can route requests and dynamically load transactions across these three clouds a truly hybrid cloud native application you guys saw here on on stage for the first time and it's a fully portable application if you build your applications with openshift you can mover from cloud to cloud to cloud on stage private all the way out to the public said it's totally awesome we also have the application being fully managed by Red Hat insights I love having that intelligence watching over us and ensuring that we're doing everything correctly that is fundamentally awesome thank you so much for that well we actually have more to show you but you're going to wait a few minutes longer right now we'd like to welcome Paul back to the stage and we have a very special early Red Hat customer an Innovation Award winner from 2010 who's been going boldly forward with their open hybrid cloud strategy please give a warm welcome to Monty Finkelstein from Citigroup [Music] [Music] hi Marty hey Paul nice to see you thank you very much for coming so thank you for having me Oh our pleasure if you if you wanted to we sort of wanted to pick your brain a little bit about your experiences and sort of leading leading the charge in computing here so we're all talking about hybrid cloud how has the hybrid cloud strategy influenced where you are today in your computing environment so you know when we see the variable the various types of workload that we had an hour on from cloud we see the peaks we see the valleys we see the demand on the environment that we have we really determined that we have to have a much more elastic more scalable capability so we can burst and stretch our environments to multiple cloud providers these capabilities have now been proven at City and of course we consider what the data risk is as well as any regulatory requirement so how do you how do you tackle the complexity of multiple cloud environments so every cloud provider has its own unique set of capabilities they have they're own api's distributions value-added services we wanted to make sure that we could arbitrate between the different cloud providers maintain all source code and orchestration capabilities on Prem to drive those capabilities from within our platforms this requires controlling the entitlements in a cohesive fashion across our on Prem and Wolfram both for security services automation telemetry as one seamless unit can you talk a bit about how you decide when you to use your own on-premise infrastructure versus cloud resources sure so there are multiple dimensions that we take into account right so the first dimension we talk about the risk so low risk - high risk and and really that's about the data classification of the environment we're talking about so whether it's public or internal which would be considered low - ooh confidential PII restricted sensitive and so on and above which is really what would be considered a high-risk the second dimension would be would focus on demand volatility and responsiveness sensitivity so this would range from low response sensitivity and low variability of the type of workload that we have to the high response sensitivity and high variability of the workload the first combination that we focused on is the low risk and high variability and high sensitivity for response type workload of course any of the workloads we ensure that we're regulatory compliant as well as we achieve customer benefits with within this environment so how can we give developers greater control of their their infrastructure environments and still help operations maintain that consistency in compliance so the main driver is really to use the public cloud is scale speed and increased developer efficiencies as well as reducing cost as well as risk this would mean providing develop workspaces and multiple environments for our developers to quickly create products for our customers all this is done of course in a DevOps model while maintaining the source and artifacts registry on-prem this would allow our developers to test and select various middleware products another product but also ensure all the compliance activities in a centrally controlled repository so we really really appreciate you coming by and sharing that with us today Monte thank you so much for coming to the red echo thanks a lot thanks again tamati I mean you know there's these real world insight into how our products and technologies are really running the businesses today that's that's just the most exciting part so thank thanks thanks again mati no even it with as much progress as you've seen demonstrated here and you're going to continue to see all week long we're far from done so I want to just take us a little bit into the path forward and where we we go today we've talked about this a lot innovation today is driven by open source development I don't think there's any question about that certainly not in this room and even across the industry as a whole that's a long way that we've come from when we started our first summit 14 years ago with over a million open source projects out there this unit this innovation aggregates into various community platforms and it finally culminates in commercial open source based open source developed products these products run many of the mission-critical applications in business today you've heard just a couple of those today here on stage but it's everywhere it's running the world today but to make customers successful with that interact innovation to run their real-world business applications these open source products have to be able to leverage increase increasingly complex infrastructure footprints we must also ensure a common base for the developer and ultimately the application no matter which footprint they choose as you heard mati say the developers want choice here no matter which no matter which footprint they are ultimately going to run their those applications on they want that flexibility from the data center to possibly any public cloud out there in regardless of whether that application was built yesterday or has been running the business for the last 10 years and was built on 10-year old technology this is the flexibility that developers require today but what does different infrastructure we may require different pieces of the technical stack in that deployment one example of this that Effects of many things as KVM which provides the foundation for many of those use cases that require virtualization KVM offers a level of consistency from a technical perspective but rel extends that consistency to add a level of commercial and ecosystem consistency for the application across all those footprints this is very important in the enterprise but while rel and KVM formed the foundation other technologies are needed to really satisfy the functions on these different footprints traditional virtualization has requirements that are satisfied by projects like overt and products like Rev traditional traditional private cloud implementations has requirements that are satisfied on projects like OpenStack and products like Red Hat OpenStack platform and as applications begin to become more container based we are seeing many requirements driven driven natively into containers the same Linux in different forms provides this common base across these four footprints this level of compatible compatibility is critical to operators who must best utilize the infinite must better utilize secure and deploy the infrastructure that they have and they're responsible for developers on the other hand they care most about having a platform that can creates that consistency for their applications they care about their services and the services that they need to consume within those applications and they don't want limitations on where they run they want service but they want it anywhere not necessarily just from Amazon they want integration between applications no matter where they run they still want to run their Java EE now named Jakarta EE apps and bring those applications forward into containers and micro services they need able to orchestrate these frameworks and many more across all these different footprints in a consistent secure fashion this creates natural tension between development and operations frankly customers amplify this tension with organizational boundaries that are holdover from the UNIX era of computing it's really the job of our platforms to seamlessly remove these boundaries and it's the it's the goal of RedHat to seamlessly get you from the old world to the new world we're gonna show you a really cool demo demonstration now we're gonna show you how you can automate this transition first we're gonna take a Windows virtual machine from a traditional VMware deployment we're gonna convert it into a KVM based virtual machine running in a container all under the kubernetes umbrella this makes virtual machines more access more accessible to the developer this will accelerate the transformation of those virtual machines into cloud native container based form well we will work this prot we will worked as capability over the product line in the coming releases so we can strike the balance of enabling our developers to move in this direction we want to be able to do this while enabling mission-critical operations to still do their job so let's bring Byrne his team back up to show you this in action for one more thanks all right what Red Hat we recognized that large organizations large enterprises have a substantial investment and legacy virtualization technology and this is holding you back you have thousands of virtual machines that need to be modernized so what you're about to see next okay it's something very special with me here on stage we have James Lebowski he's gonna be walking us through he's represents our operations folks and he's gonna be walking us through a mass migration but also is Itamar Hine who's our lead developer of a very special application and he's gonna be modernizing container izing and optimizing our application all right so let's get started James thanks burr yeah so as you can see I have a typical VMware environment here I'm in the vSphere client I've got a number of virtual machines a handful of them that make up my one of my applications for my development environment in this case and what I want to do is migrate those over to a KVM based right at virtualization environment so what I'm gonna do is I'm gonna go to cloud forms our cloud management platform that's our first step and you know cloud forms actually already has discovered both my rev environment and my vSphere environment and understands the compute network and storage there so you'll notice one of the capabilities we built is this new capability called migrations and underneath here I could begin to there's two steps and the first thing I need to do is start to create my infrastructure mappings what this will allow me to do is map my compute networking storage between vSphere and Rev so cloud forms understands how those relate let's go ahead and create an infrastructure mapping I'll call that summit infrastructure mapping and then I'm gonna begin to map my two environments first the compute so the clusters here next the data stores so those virtual machines happen to live on datastore - in vSphere and I'll target them a datastore data to inside of my revenue Arman and finally my networks those live on network 100 so I'll map those from vSphere to rover so once my infrastructure is map the next step I need to do is actually begin to create a plan to migrate those virtual machines so I'll continue to the plan wizard here I'll select the infrastructure mapping I just created and I'll select migrate my development environment from those virtual machines to Rev and then I need to import a CSV file the CSV file is going to contain a list of all the virtual machines that I want to migrate that were there and that's it once I hit create what's going to happen cloud forms is going to begin in an automated fashion shutting down those virtual machines begin converting them taking care of all the minutia that you'd have to do manually it's gonna do that all automatically for me so I don't have to worry about all those manual interactions and no longer do I have to go manually shut them down but it's going to take care of that all for me you can see the migrations kicked off here this is the I've got the my VMs are migrating here and if I go back to the screen here you can see that we're gonna start seeing those shutdown okay awesome but as people want to know more information about this how would they dive deeper into this technology later this week yeah it's a great question so we have a workload portability session in the hybrid cloud on Wednesday if you want to see a presentation that deep dives into this topic and how some of the methodologies to migrate and then on Thursday we actually have a hands-on lab it's the IT optimization VM migration lab that you can check out and as you can see those are shutting down here yeah we see a powering off right now that's fantastic absolutely so if I go back now that's gonna take a while you got to convert all the disks and move them over but we'll notice is previously I had already run one migration of a single application that was a Windows virtual machine running and if I browse over to Red Hat virtualization I can see on the dashboard here I could browse to virtual machines I have migrated that Windows virtual machine and if I open up a tab I can now browse to my Windows virtual machine which is running our wingtip toy store application our sample application here and now my VM has been moved over from Rev to Vita from VMware to Rev and is available for Itamar all right great available to our developers all right Itamar what are you gonna do for us here well James it's great that you can save cost by moving from VMware to reddit virtualization but I want to containerize our application and with container native virtualization I can run my virtual machine on OpenShift like any other container using Huebert a kubernetes operator to run and manage virtual machines let's look at the open ship service catalog you can see we have a new virtualization section here we can import KVM or VMware virtual machines or if there are already loaded we can create new instances of them for the developer to work with just need to give named CPU memory we can do other virtualization parameters and create our virtual machines now let's see how this looks like in the openshift console the cool thing about KVM is virtual machines are just Linux processes so they can act and behave like other open shipped applications we build in more than a decade of virtualization experience with KVM reddit virtualization and OpenStack and can now benefit from kubernetes and open shift to manage and orchestrate our virtual machines since we know this virtual machine this container is actually a virtual machine we can do virtual machine stuff with it like shutdown reboot or open a remote desktop session to it but we can also see this is just a container like any other container in openshift and even though the web application is running inside a Windows virtual machine the developer can still use open shift mechanisms like services and routes let's browse our web application using the OpenShift service it's the same wingtip toys application but this time the virtual machine is running on open shift but we're not done we want to containerize our application since it's a Windows virtual machine we can open a remote desktop session to it we see we have here Visual Studio and an asp.net application let's start container izing by moving the Microsoft sequel server database from running inside the Windows virtual machine to running on Red Hat Enterprise Linux as an open shipped container we'll go back to the open shipped Service Catalog this time we'll go to the database section and just as easily we'll create a sequel server container just need to accept the EULA provide password and choose the Edition we want and create a database and again we can see the sequel server is just another container running on OpenShift now let's take let's find the connection details for our database to keep this simple we'll take the IP address of our database service go back to the web application to visual studio update the IP address in the connection string publish our application and go back to browse it through OpenShift fortunately for us the user experience team heard we're modernizing our application so they pitched in and pushed new icons to use with our containerized database to also modernize the look and feel it's still the same wingtip toys application it's running in a virtual machine on openshift but it's now using a containerized database to recap we saw that we can run virtual machines natively on openshift like any other container based application modernize and mesh them together we containerize the database but we can use the same approach to containerize any part of our application so some items here to deserve repeating one thing you saw is Red Hat Enterprise Linux burning sequel server in a container on open shift and you also saw Windows VM where the dotnet native application also running inside of open ships so tell us what's special about that that seems pretty crazy what you did there exactly burr if we take a look under the hood we can use the kubernetes commands to see the list of our containers in this case the sequel server and the virtual machine containers but since Q Bert is a kubernetes operator we can actually use kubernetes commands like cube Cpl to list our virtual machines and manage our virtual machines like any other entity in kubernetes I love that so there's your crew meta gem oh we can see the kind says virtual machine that is totally awesome now people here are gonna be very excited about what they just saw we're gonna get more information and when will this be coming well you know what can they do to dive in this will be available as part of reddit Cloud suite in tech preview later this year but we are looking for early adopters now so give us a call also come check our deep dive session introducing container native virtualization Thursday 2:00 p.m. awesome that is so incredible so we went from the old to the new from the close to the open the Red Hat way you're gonna be seeing more from our demonstration team that's coming Thursday at 8 a.m. do not be late if you like what you saw this today you're gonna see a lot more of that going forward so we got some really special things in store for you so at this point thank you so much in tomorrow thank you so much you guys are awesome yeah now we have one more special guest a very early adopter of Red Hat Enterprise Linux we've had over a 12-year partnership and relationship with this organization they've been a steadfast Linux and middleware customer for many many years now please extend a warm welcome to Raj China from the Royal Bank of Canada thank you thank you it's great to be here RBC is a large global full-service is back we have the largest bank in Canada top 10 global operate in 30 countries and run five key business segments personal commercial banking investor in Treasury services capital markets wealth management and insurance but honestly unless you're in the banking segment those five business segments that I just mentioned may not mean a lot to you but what you might appreciate is the fact that we've been around in business for over 150 years we started our digital transformation journey about four years ago and we are focused on new and innovative technologies that will help deliver the capabilities and lifestyle our clients are looking for we have a very simple vision and we often refer to it as the digitally enabled bank of the future but as you can appreciate transforming a hundred fifty year old Bank is not easy it certainly does not happen overnight to that end we had a clear unwavering vision a very strong innovation agenda and most importantly a focus towards a flawless execution today in banking business strategy and IT strategy are one in the same they are not two separate things we believe that in order to be the number one bank we have to have the number one tactic there is no question that most of today's innovations happens in the open source community RBC relies on RedHat as a key partner to help us consume these open source innovations in a manner that it meets our enterprise needs RBC was an early adopter of Linux we operate one of the largest footprints of rel in Canada same with tables we had tremendous success in driving cost out of infrastructure by partnering with rahat while at the same time delivering a world-class hosting service to your business over our 12 year partnership Red Hat has proven that they have mastered the art of working closely with the upstream open source community understanding the needs of an enterprise like us in delivering these open source innovations in a manner that we can consume and build upon we are working with red hat to help increase our agility and better leverage public and private cloud offerings we adopted virtualization ansible and containers and are excited about continuing our partnership with Red Hat in this journey throughout this journey we simply cannot replace everything we've had from the past we have to bring forward these investments of the past and improve upon them with new and emerging technologies it is about utilizing emerging technologies but at the same time focusing on the business outcome the business outcome for us is serving our clients and delivering the information that they are looking for whenever they need it and in whatever form factor they're looking for but technology improvements alone are simply not sufficient to do a digital transformation creating the right culture of change and adopting new methodologies is key we introduced agile and DevOps which has boosted the number of adult projects at RBC and increase the frequency at which we do new releases to our mobile app as a matter of fact these methodologies have enabled us to deliver apps over 20x faster than before the other point about around culture that I wanted to mention was we wanted to build an engineering culture an engineering culture is one which rewards curiosity trying new things investing in new technologies and being a leader not necessarily a follower Red Hat has been a critical partner in our journey to date as we adopt elements of open source culture in engineering culture what you seen today about red hearts focus on new technology innovations while never losing sight of helping you bring forward the investments you've already made in the past is something that makes Red Hat unique we are excited to see red arts investment in leadership in open source technologies to help bring the potential of these amazing things together thank you that's great the thing you know seeing going from the old world to the new with automation so you know the things you've seen demonstrated today they're they're they're more sophisticated than any one company could ever have done on their own certainly not by using a proprietary development model because of this it's really easy to see why open source has become the center of gravity for enterprise computing today with all the progress open-source has made we're constantly looking for new ways of accelerating that into our products so we can take that into the enterprise with customers like these that you've met what you've met today now we recently made in addition to the Red Hat family we brought in core OS to the Red Hat family and you know adding core OS has really been our latest move to accelerate that innovation into our products this will help the adoption of open shift container platform even deeper into the enterprise and as we did with the Linux core platform in 2002 this is just exactly what we did with with Linux back then today we're announcing some exciting new technology directions first we'll integrate the benefits of automated operations so for example you'll see dramatic improvements in the automated intelligence about the state of your clusters in OpenShift with the core OS additions also as part of open shift will include a new variant of rel called Red Hat core OS maintaining the consistency of rel farhat for the operation side of the house while allowing for a consumption of over-the-air updates from the kernel to kubernetes later today you'll hear how we are extending automated operations beyond customers and even out to partners all of this starting with the next release of open shift in July now all of this of course will continue in an upstream open source innovation model that includes continuing container linux for the community users today while also evolving the commercial products to bring that innovation out to the enterprise this this combination is really defining the platform of the future everything we've done for the last 16 years since we first brought rel to the commercial market because get has been to get us just to this point hybrid cloud computing is now being deployed multiple times in enterprises every single day all powered by the open source model and powered by the open source model we will continue to redefine the software industry forever no in 2002 with all of you we made Linux the choice for enterprise computing this changed the innovation model forever and I started the session today talking about our prediction of seven years ago on the future being open we've all seen so much happen in those in those seven years we at Red Hat have celebrated our 25th anniversary including 16 years of rel and the enterprise it's now 2018 open hybrid cloud is not only a reality but it is the driving model in enterprise computing today and this hybrid cloud world would not even be possible without Linux as a platform in the open source development model a build around it and while we have think we may have accomplished a lot in that time and we may think we have changed the world a lot we have but I'm telling you the best is yet to come now that Linux and open source software is firmly driving that innovation in the enterprise what we've accomplished today and up till now has just set the stage for us together to change the world once again and just as we did with rel more than 15 years ago with our partners we will make hybrid cloud the default in the enterprise and I will take that bet every single day have a great show and have fun watching the future of computing unfold right in front of your eyes see you later [Applause] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] anytime [Music]

from Austin Texas it's the cube covering cube con and cloud native con 2017 brought to you by Red Hat the Lenox foundation and the cubes ecosystem partners welcome back to the cube Silicon angle media's two-day live production of KU con and cloud native con ops to minimun my co-host for the same segment is matt Probert happy to welcome back to the program clayton Coleman who's the architect of containerized application infrastructure with the red hat clayton great to see you it's great to see you too alright so first of all 4100 people you impressed I am I'm hugely impressed every year this gets bigger and bigger the community is out in force people building on top of kubernetes and in the cloud any ecosystem around it for us and it's it's really phenomenal yes so John Fourier interviewed you last year at the Seattle show I think it's what triple the size the number of projects are gone from four to 14 but at the core I mean it's kubernetes and you spend you know quite a lot of your time tell us you know what have you been working on the last year I know what was it what's important in your life well I think the biggest things that we've really tried to focus on are making kubernetes a good foundation for both a community as well as for a technology stack because kubernetes is about empowering developers it's about empowering operations teams and we always anticipated there to be many levels and many ways of building on top of Rene's to make it an ecosystem so that people can build and deploy software but other people besides us can succeed and I think that's more than anything else in the last year it's about ensuring that everyone besides the kubernetes community is successful not just kubernetes itself yeah it's interesting when we think back to like Linux it's you know Red Hat you did quite well with Linux also you know from the enterprise standpoint from from the company we appreciate what Red Hat had did to make sure that Linux could be used by everyone seems like a lot of you know similar themes that we see but how could you kind of compare good drives Linux versus kubernetes today it's interesting everyone is a lot more conscious of open source and the idea of building a platform because of the example of Linux and so we've tried to actually be pretty conscious about that which is we want there to be a strong community we want there to be a technical respect among not just the core of the project but also the different layers and the cloud the cloud native Foundation has actually done a really good job of bringing together mutually complementary technologies but also helping and support those communities from a RedHat perspective a lot of the things we work on our stability security reliability we also work on extension because extension to us allows us both to support customers but also to help the open source ecosystems that we depend on that I'm sorry just for audience can you explain what extension is sure extension is actually it's a number of things in kubernetes we really want you to be possible if we're gonna build in kubernetes things that make running applications easier we want everyone else to build their own tools that make it easier to run applications and we don't want to be opinionated and kind of the same way as maybe some other ecosystems about who gets to build what instead we want to open the doors for vendors for partners for deployers for individual users to build their own extensions and points of contact with kubernetes to really solve their own problems we can't solve all those problems but that plays really nicely into it right the cloud native foundation has gone from four projects to 14 that's right just a year and you're talking about the extensions what do you want people to take away from that proliferation of projects that are all being supported and seen as essential to the eCos kubernetes it takes the spectrum we want we want everyone to be able to use kubernetes and to use the other projects either independently on their own but I think a lot of us in the kubernetes community in the CN CF communities believe that a lot of these tools work really well together and finding new opportunities to make it easy to work together so Prometheus is a great example it's exploded across the ecosystem I think at the last cognitive con Prometheus was really the talk of the show and I think what I've seen is that a lot of people around the ecosystem not just in that core community on a very specific project I've taken the ideas that underlie that technology I tried to apply it to other things that they were doing so you see people building integrations into Prometheus you see in flux DB working with Prometheus to share data press a lot of really exciting cross collaboration and the end goal really is to make building and running applications easier which is something we really believe in as well all right you use the word a spectrum when you talk about users out there there's lots of them that are kind of in the 101 phase we know there's people doing things through production what are you seeing you know kind of the help us walk through some of the spectrum as to where customers are what you're seeing some of the big challenges that they're facing in spectrum really there's no other word because the range of people using kubernetes in production and development is so incredibly diverse I would say the two extremes are people who are today deploying micro services based production applications on public cloud and they're bringing you know three or four or ten or 100 applications it might be a two or three developer team and they're really finding a lot of value in that because kubernetes is taking a lot of the heavy lifting and they can rely on that to keep their applications running into rapidly deploy on the complete other end is giant corporations people with you know decades of investment in IT finding ways to use kubernetes and OpenShift which is the product that Red Hat ships around kubernetes to empower you know tens of thousands or hundreds of thousands of applications and in those models kubernetes is just one small part of the larger hole and this is where ecosystem really comes into play in the middle I think we're starting to see a lot of really exciting things as people have the they've got their one team working together and they as they start reaching out and bringing other teams as companies grow as they say find more reasons to use kubernetes they start asking questions like well how do I have all these teams working together without impacting the other teams and that's where multi-tenancy that's a real specialty for Red Hat and OpenShift is multi-tenancy and we're actually really excited to work with people in the community to build out these technologies at many different levels to have you know kind of that spectrum tart to spread from the middle as well you know one of the things coming into this show you know the last year or two was like okay who's gonna win kind of the orchestration battle and it's like okay kubernetes you know here it is well now there's like 42 different providers you know open ship being one of them where does Red Hat you know look to add value to the customers is it just a piece of the platform how does Red Hat look at it and how to customers when do they come to you when do they say you know oh wait I'm just gonna go build all my own pieces and and use some of the Red Hat pieces I if working with open source and Linux has taught us anything it's that one of the key components of a successful story is a distribution the idea of curating making a few choices making it easy to bring things into that distribution and we've actually started to really apply the distribution mindset to kubernetes so if you look at openshift it is a platform it has two that help you run tens of thousands of applications together with tens of thousands of users to bring operational control but it's hard it's about taking the best technologies in the community and bringing them together and so I would actually expect over the next year or two to start seeing the idea of the distribution emerge in kubernetes in the cloud native ecosystem where you know we won't it's not ever gonna just be one company dominating open-source that's not how open-source works I would expect to see an effort at thinking about kubernetes is before the kernel if you will and bringing together all of the successful technologies like the ones that we've seen at cloud native con here today and bringing even more of them letting people mix and match to find the solutions that work for them I really like that view of a - because you're saying that the open source at its core is open and unup enya nated while distributions are an outlet to have opinion in refined business problems so how do you see that playing out a little bit there's always going to be some trade-off when you make choices for people and so I think the way that we look at it is we try to make choices that make sense when you're dealing at certain scales when long term support and life cycle becomes really critical you know if you can't afford a production outage because you have 10,000 applications running together then it becomes really important to focus on those but at the same time we actually expect there to be different choices and trade-offs to be made and we'll want to actually encourage people to mix and match the different parts of the ecosystem and what patterns are you seeing in enterprise readiness or any enterprise feature sets that are combining into what you hope to see out of the distribution at the heart of its security tends to come up a lot you know everybody everybody who's making the leap from we made the leap from bare metal to virtualization and then at a large number of management platforms grew to encompass it and virtualization brought its own changes containers were starting to mature and how we understand how the software lifecycle works with containers how it works in large multi-tenant environments I think the next step will be as we become more mature that a lot of these patterns will be baked in and so you'll see you know standard solutions we all kind of need to work together to make those standard solutions happen we're actually seeing that in a number of the things you know even today I'll talk about the CNC F conformance profile for kubernetes it's a new effort that intends to take the tests that we use in kubernetes to make sure it's working correctly and use that to say this is something that you can rely on every kubernetes distribution also supporting and just like any other mechanism that we use to make sure that we're delivering something that is stable and predictable across a wide number of spaces I would expect in the future to see things like conformance for multi-tenancy conformance for security specifically in cube and to see vendors bring their own approaches partners ecosystem players integrating their solutions and then new open-source solutions fitting into that as well the keynote this morning there were a lot of these projects you know getting to the next Rev Cooper net is gonna be a 1.9 many of the underlying kind of supporting pieces are hitting kind of the 1 dot Oh out there your top contributor for kubernetes what's that experience like today lots of new people still coming on how's the balance of kind of the you know few that are heavily involved versus kind of the majority when we started kubernetes it was a very there's an interesting mix it was a lot of engineers working on very concrete ideas things that we'd want to try to bring to fruition together in the community and it's been a very deliberate goal over the last two years to broaden that into a successful and healthy open-source ecosystem which means a lot of mentoring which means working to find the different ways that people can contribute in an ecosystem Sarah Novotny from Google often uses the chop wood carry water analogy there's many different ways that people can work together and everyone has a spot so we spent a lot of time being very deliberate about being open trying to organize ways for new contributors to get oriented and to bring their value but at the same time we actually want to mentor and grow the next level of technical leadership in kubernetes no I won't be here forever and I don't want to be here forever I want people to replace me in the open-source community because that's a healthy community yeah I think the stratification of contribution is one of the number-one signs of success from from my perspective and I see a distinct different invitation for each type of user so you have the user you have the administrator and then you also have a developer are there any things you've noticed changing in one of those patterns that like really hits home for you I think the developer pattern is the most interesting you know there's a lot of focus on how do you use kubernetes in many different ways and a lot of developers want to get their hands on and dig in and so there's actually been a lot of great community projects that are focused on making kubernetes easy to consume at a small scale all of that then ties back into well in kubernetes we want to be pretty opinion if we're going to be a kernel there needs to be a space for things like the compiler and the programming language distributions I'm actually hoping that we can keep that focus on making sure there's a good set of projects in the ecosystem that meat developers where they are so that they can start using kubernetes and then I don't want to say trick but trick them into becoming contributors and help us get that feedback about how we can make Rene's better helping to paint the fence is very fun that's right all right Clayton last question I have for you you're doing two keynotes this week give our audience that you know won't be there in person give us a taste for that and especially want to hear kind of the outlook for kind of the next 12 months through 2018 sure so my first keynote tomorrow is a just a real quick one I'm going to try and convince everybody that kubernetes should be boring and I'll leave it at that you know boring is good in very specific ways boring equals mature right I would certainly hope so and on Friday I'm gonna talk about what's coming up in the kubernetes ecosystem in 2018 a lot of people have finally jumped on board the kubernetes bandwagon and what I'd like to do is kind of help people find those exciting projects to get involved with if if we're gonna have a vibrant ecosystem and community helping people understand where they can get involved and to find the things that match their interest is going to be really important okay anything specific that you're super excited about looking forward to next year or any project or I've got to say and this is not a it's not a company line but sto is incredibly exciting because one of our goals with kubernetes was always about making it easier to run applications and sto and the idea of service mesh is taking that to the next level and I actually hope to see even more projects like that over the next few years in the ecosystem that solve things like server lists and databases of service and I think we're actually starting to really see that develop yeah well companies are all looking to move faster get those applications up and running this do definitely one of the ones we heard buzzing before the show Clayton Coleman thanks so much for joining us again hope to catch up with you again soon for metroburg I'm Stu Mittleman we'll be back with lots more coverage here from the cubes coverage of KU con and cloud native con 2017 here in Austin Texas you're watching the Q you